CN117183833B - Extended range vehicle heating control method, device, computer equipment and storage medium - Google Patents

Extended range vehicle heating control method, device, computer equipment and storage medium Download PDF

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Publication number
CN117183833B
CN117183833B CN202311222912.9A CN202311222912A CN117183833B CN 117183833 B CN117183833 B CN 117183833B CN 202311222912 A CN202311222912 A CN 202311222912A CN 117183833 B CN117183833 B CN 117183833B
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vehicle
habit
energy supplementing
predicted
current
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CN117183833A (en
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郑登磊
何勇
温方勇
王靖鸿
黎学勤
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Thalys Automobile Co ltd
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Thalys Automobile Co ltd
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    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
    • Y02T10/00—Road transport of goods or passengers
    • Y02T10/60—Other road transportation technologies with climate change mitigation effect
    • Y02T10/70—Energy storage systems for electromobility, e.g. batteries

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Abstract

The application relates to a range-extending vehicle heating control method, a device, computer equipment and a storage medium, wherein the method comprises the steps of responding to a heating request instruction after a vehicle is started, acquiring energy supplementing habit information of a user, wherein the energy supplementing habit information of the user comprises habit of charging or habit of oiling, the energy supplementing habit information is determined according to historical energy supplementing times of the user, and the historical energy supplementing times comprise charging times and oiling times in a statistical period; determining a heating mode of the vehicle after the vehicle is started according to the energy supplementing habit information of the user, wherein the heating mode comprises the step of determining that the heater heats preferentially when the energy supplementing habit information is habit charging; the heating mode comprises the heating mode of the heater or the heating mode of the range extender waste heat, and the method of the application is adopted to solve the problem that the heating mode in the prior art is not related to the energy supplementing habit of the user.

Description

Extended range vehicle heating control method, device, computer equipment and storage medium
Technical Field
The present application relates to the field of vehicle control technologies, and in particular, to a method and apparatus for controlling heating of a range-extended vehicle, a computer device, and a storage medium.
Background
The range extender is installed on the range extender new energy automobile, the range extender consists of an engine and a generator, the engine and the generator can be started timely to generate power, and meanwhile, the waste heat of the range extender can be recycled for heat management, so that the range extender new energy automobile heat management system is provided with two heating modes, namely heater heating and range extender waste heat heating.
In the current heating control mode, only a fixed condition such as an ambient temperature, a passenger cabin temperature, a battery temperature and the like can be used for judging which heating mode is used, the energy utilization habit of a user is not fully considered, and the situation that the range extender is started in advance to heat under the condition that the user takes charge of electricity is existed.
Disclosure of Invention
Based on the method, the device, the computer equipment and the storage medium for controlling the heating of the extended-range vehicle are provided, and the problem that the heating mode is not related to the energy supplementing habit of a user in the prior art is solved.
In one aspect, a method for controlling heating of a range-extending vehicle is provided, the method comprising:
The method comprises the steps of responding to a heating request instruction after a vehicle is started, obtaining energy supplementing habit information of a user, wherein the energy supplementing habit information of the user comprises habit charging or habit oiling, the energy supplementing habit information is determined according to historical energy supplementing times of the user, and the historical energy supplementing times comprise charging times and oiling times in a statistical period;
Determining a heating mode of the vehicle after the vehicle is started according to the energy supplementing habit information of the user, wherein the heating mode comprises the step of determining that the heater heats preferentially when the energy supplementing habit information is habit charging; the heating mode comprises heating by a heater or heating by waste heat of a range extender.
In one embodiment, the energy charging habit information is determined according to the historical energy charging times of the user in the following manner:
Acquiring the charging times and the refueling times in a statistical period;
The method for determining the priority energy supplementing type of the current statistical period according to the charging times and the refueling times comprises the following steps:
when the charging times are greater than zero and the refueling times are equal to zero, determining the priority energy supplementing type of the current statistical period as charging priority; or when the refueling times are greater than zero and the charging times are equal to zero, determining that the priority energy supplementing type of the current statistical period is the refueling priority;
Continuously counting and updating the number of counting periods of different priority energy supplementing types, comprising: counting and updating a first number of charge-priority counting periods and a second number of fueling-priority counting periods;
when the first quantity reaches a statistical threshold before the second quantity, determining that energy supplementing habit information of the user is habit charging; or when the second quantity reaches a statistical threshold before the first quantity, determining that the energy supplementing habit information of the user is habitual refueling.
In one embodiment, after the obtaining the energy charging habit information of the user, the method further includes:
When the energy supplementing habit information is habitual oiling, acquiring the starting moment of the vehicle for starting at this time;
Obtaining predicted running data corresponding to the current starting according to the starting time, wherein the predicted running data comprises predicted mileage and/or predicted duration, the predicted running data is determined according to single trip data of vehicle history, the single trip data comprises current starting time and current historical running data, and the historical running data comprises current mileage and/or current duration;
and judging a threshold value according to the predicted running data, and determining a heating mode of the vehicle after the vehicle is started.
In one embodiment, the predicted travel data is determined from single trip data of the vehicle history as follows:
According to historical single trip data, sample trip data are obtained, wherein the sample trip data are single trip data in a target time interval at the starting moment;
obtaining the predicted mileage and/or the predicted duration of the current start according to the current mileage and/or the current duration of the sample travel data;
The statistical period is divided into a plurality of time intervals according to preset duration, and the target time interval is a time interval corresponding to the starting time of the current starting.
In one embodiment, the obtaining the predicted mileage and/or the predicted time length of the current start includes:
And taking the median of the current mileage and/or the median of the current duration as the predicted mileage and/or the predicted duration of the current start according to the median of the current mileage and/or the median of the current duration of the plurality of sample trip data.
In one embodiment, the determining the heating mode after the vehicle is started up according to the threshold value judgment according to the predicted driving data includes:
And when the predicted mileage is greater than a mileage threshold or the predicted duration is greater than a duration threshold, determining that the waste heat of the range extender is heated preferentially so as to control the range extender to start and utilize the waste heat.
In one embodiment, the determining the heating mode after the vehicle is started up according to the threshold value judgment according to the predicted driving data includes:
and when the predicted mileage is less than or equal to the mileage threshold and the predicted duration is less than or equal to the duration threshold, determining that the heater heats preferentially.
In one embodiment, after the obtaining the energy charging habit information of the user, the method further includes:
according to the energy supplementing habit information, determining an adjustment mode of the starting charge state of the range extender comprises the following steps:
when the energy supplementing habit information is habit charging, the starting charge state is adjusted down according to the adjustment value;
When the energy supplementing habit information is habit oil filling, the starting charge state is up-regulated according to the up-regulating value;
The down-regulation value and the up-regulation value are determined according to vehicle parameters, wherein the vehicle parameters comprise deviation of an ambient temperature and a rated running temperature of a battery, a vehicle load and a battery health degree, and the down-regulation value has a negative correlation with the deviation, a positive correlation with the vehicle load and a positive correlation with the battery health degree; the up-regulation value has a positive correlation with the deviation, a positive correlation with the vehicle load, and a positive correlation with the battery health.
In another aspect, there is provided a range-extending vehicle heating control apparatus, the apparatus comprising:
The system comprises a first acquisition module, a second acquisition module and a control module, wherein the first acquisition module is used for responding to a heating request instruction after a vehicle is started to acquire energy supplementing habit information of a user, the energy supplementing habit information of the user comprises habit charging or habit oiling, the energy supplementing habit information is determined according to historical energy supplementing times of the user, and the historical energy supplementing times comprise charging times and oiling times in a statistical period;
The judging module is used for determining a heating mode of the vehicle after the vehicle is started according to the energy supplementing habit information of the user, and determining that the heater heats preferentially when the energy supplementing habit information is habit charging; the heating mode comprises heating by a heater or heating by waste heat of a range extender.
In yet another aspect, a computer apparatus is provided comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the steps of the method when the computer program is executed.
There is also provided a computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements the steps of the method.
According to the extended-range vehicle heating control method, the device, the computer equipment and the storage medium, after a user starts a vehicle, energy supplementing habit information of the user is obtained in response to a heating request instruction, the energy supplementing habit information is determined based on historical charging times and refueling times of the user, when the energy supplementing habit of the user is habit charging, the user is considered to be capable of conveniently obtaining electric energy or subjective habit electricity utilization of the user to drive, the heating mode after the starting can be determined to be heater preferential heating, the electric energy is preferentially utilized, and excessive consumption of fuel is avoided.
Drawings
FIG. 1 is a flow chart of a method of extended range vehicle heating control in one embodiment;
FIG. 2 is an application environment diagram of a method of extended range vehicle heating control in one embodiment;
FIG. 3 is a schematic diagram of a prediction flow of energy replenishment habits in one embodiment;
FIG. 4 is a schematic diagram of a determination flow of predicted driving data in another embodiment;
FIG. 5 is a schematic diagram of sample travel in one embodiment;
FIG. 6 is a flow chart of a method of controlling heating of an extended range vehicle according to another embodiment;
FIG. 7 is a block diagram of a heating control device for an extended range vehicle in one embodiment;
Fig. 8 is an internal structural diagram of a computer device in one embodiment.
Detailed Description
The present application will be described in further detail with reference to the drawings and examples, in order to make the objects, technical solutions and advantages of the present application more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the application.
The range extender is used for auxiliary power generation to improve the endurance, and the range extender can generate a large amount of heat while generating power, and the heat is usually recovered to participate in the thermal management of the vehicle, so that compared with a pure electric vehicle or a pure fuel vehicle, the thermal management system of the range extender is provided with two heating modes of heating by using the waste heat of the range extender, and the heater is generally a PTC (Positive Temperature Coefficient ) heater.
PTC heating is used, so that economy is good, but the heating effect is poor under the extremely low temperature condition due to the limited PTC power; the waste heat of the range extender is used for heating, so that the heating effect is good, but the economy is slightly poor; the general control mode can only judge which heating mode is used under fixed conditions, such as ambient temperature, passenger cabin temperature, battery temperature and the like, and cannot be adjusted according to the practical use habit characteristics of the vehicle.
The application provides a range-extending vehicle heating control method, which is characterized in that when a heating request instruction is acquired, the heating mode of a vehicle thermal management system is determined based on energy supplementing habit information of a user, and when the energy supplementing habit information is habit charging, the electric heating is preferentially performed by using a heater, so that the range-extending device is started to participate in heating in advance under the condition that the user is familiar with the habit of electricity.
It should be noted that, before the thermal management heating requirement exists in the vehicle, if the range extender is started due to low electric quantity of the power battery, the waste heat of the range extender can be utilized according to the existing mode.
In one embodiment, as shown in fig. 1, the provided extended-range vehicle heating control method includes the following steps:
Step 100, energy supplementing habit information of a user is obtained in response to a heating request instruction after the vehicle is started.
In general, after a vehicle is started, for example, after a key is turned to a start gear or a start button is pressed, a power battery and a cabin have heating requirements, and at this time, a whole vehicle controller or a battery management controller can send a heating request instruction to a thermal management system, and the thermal management system heats based on the heating request instruction.
Before heating is executed, the thermal management system acquires energy supplementing habit information of a user, and determines whether an electric heating mode or a range extender waste heat heating mode is adopted based on the energy supplementing habit information.
For extended range vehicles, energy may be replenished, i.e., both refueled and charged, and in this embodiment, the energy replenishment habit may be predicted based on historical energy replenishment times.
The vehicle end and the cloud platform are communicated through a network, the vehicle end uploads the vehicle big data of the vehicle end to the cloud platform, for example, the times that the vehicle is connected with a charging gun and enters charging, the times that a vehicle filler cap is opened and closed are counted, and the obtained vehicle filling times are counted, and the cloud platform predicts energy supplementing habit of a user according to the vehicle big data, sends energy supplementing habit information to the vehicle end to be stored and is called when needed.
The statistical period is taken as an example of one week, in some embodiments, the energy supplementing preference of the next week of the user can be presumed according to the difference between the charging and refueling times in the previous week, but the prediction mode based on the data of the previous week and the next week has larger prediction error; in another embodiment, the data of the refueling times, the refueling time, the charging times, the charging time and the like may be input into the prediction model for prediction, but the cost is too high.
In one implementation manner of the present embodiment, a method for determining energy-supplementing habits is provided, as shown in fig. 3, including the following steps:
step 101, obtaining the charging times and the refueling times in the statistical period.
And the cloud platform counts the charging times and the refueling times of each week according to seven days of the week.
And 102, determining the priority energy supplementing type of the current statistical period according to the charging times and the refueling times.
Illustratively, if in week i, the number of charges is greater than or equal to 1, and the number of refuels=0, then week i may be considered to be the charge-preferred week, with the counted charge-preferred number of weeks +1; if in the (i+1) th week, the charging frequency=0 and the refueling frequency is more than or equal to 1, the (i+1) th week is considered to be the prior refueling frequency, and the counted number of the prior refueling frequency is +1;
Step 103, continuously counting and updating the number of counting periods of different priority energy supplementing types.
The current week is the week with charge priority, and the counted charge priority week number E is processed by +1;
and when the current week is the week with the prior refueling, the counted number G of the weeks with the prior refueling is treated by +1.
And (5) keeping E and G unchanged when the fueling times and the charging times of the current week are 0 or are larger than 0.
And 104, determining the energy supplementing habit of the user according to the number of the statistical periods and the judgment of the statistical threshold value.
In the embodiment mode, when E is more than or equal to 3 times, the energy supplementing habit of the user is considered to be habit charging; when G is more than or equal to 3 times, the energy supplementing habit of the user is considered to be habitual oiling, and after the energy supplementing habit is judged once, the accumulated times of G and E are reset, and a new cycle of statistical calculation is carried out; the calculation result of the previous cycle is maintained until the calculation result of the new cycle is completed.
And the cloud platform calculates and obtains the energy supplementing habit of the user based on the vehicle big data, and then sends the vehicle end, and the thermal management system of the vehicle end calls the energy supplementing habit information under the heating request.
And after the vehicle end obtains the energy supplementing habit information, executing the subsequent steps.
And 200, determining a heating mode of the vehicle after the vehicle is started according to the energy supplementing habit information of the user.
For example, in the case that the user is used to charge, the range extender should not be started to participate in heating based on the heating request, otherwise, the reduction of the fuel of the vehicle will prompt the user to perform the refueling activity which does not conform to the habit of the user in advance, so that the vehicle experience of the user is reduced, and therefore the PTC heating should be preferentially used; and then according to the range extender mode actively set by a user, when the electric quantity of the battery reaches the condition of starting the range extender, switching to heating by using the waste heat of the range extender.
By adopting the heating control method, the vehicle habit of the user is fully considered, and the fuel oil is prevented from being consumed in advance due to heating by the range extender under the condition that the habit of the user is charged.
The method provided by the application can also judge the heating mode according to the predicted possible length of the current journey under the condition that the user is used to refuel.
In one embodiment, when the energy supplementing habit information is habit oil filling, a starting time of the current starting of the vehicle is also obtained, and the predicted running data corresponding to the current starting is obtained according to the starting time.
The predicted driving data may also be calculated by the cloud platform according to the vehicle big data and then sent to the vehicle end, and the vehicle end performs searching according to the starting time of the time when responding to the heating request.
The vehicle big data for the travel prediction may include single trip data of the vehicle history including the starting time of the past trip of the vehicle, the current travel distance or the duration.
Based on the historical journey of the user, the possible driving mileage or driving duration of the user after the current starting can be predicted.
When the running is possible to be short-distance running, for example, the predicted mileage is less than or equal to 20 km, the predicted duration is less than or equal to 30 minutes, the PTC heating can be adopted as a preferential response mode of the heating request, and then according to the range extender mode actively set by a user, if the electric quantity of the battery reaches the condition of starting the range extender, the heating is switched to using the waste heat of the range extender.
When the driving is possibly long distance, for example, the predicted mileage is more than 20 km, or the predicted time is more than 30 minutes, the range extender can be started in advance, and the waste heat of the engine is utilized to heat while the range extender is utilized to generate electricity and supplement energy.
And in some embodiments, the waste heat of the range extender participates in heating, and meanwhile, the situation that PTC participates in heating at the same time is not excluded, so as to meet the heating requirement under the condition of extremely low temperature.
The present embodiment provides a method for predicting the current trip based on vehicle history data, as shown in fig. 4, including the following steps:
Step 301, obtaining sample trip data according to historical single trip data.
In vehicle big data, a historical single trip may begin at any time within the statistical period, first requiring a determination of which historical single trips to base on to predict the present trip.
Illustratively, seven days of the week are divided into 7 x 24 time intervals with one week as a statistical period and 1h as a division interval.
The starting time is set to be in the past monday 0:00-1: a historical single trip of 00 is used as a sample trip for this time interval to predict the current week one 0:00-1:00, and so on, classifying sample data corresponding to 7 x 24 time intervals.
Step 302, obtaining the predicted mileage and/or the predicted duration of the current start according to the current mileage and/or the current duration of the sample trip data.
Taking the example that the current trip is started at monday 10:30, the target time interval corresponding to the starting time is monday 10:00-11:00, prediction is performed according to one or more historical single trips which also start at monday 10:00-11:00, for example, fig. 5 shows a single trip of monday in a plurality of mondays, the single trip starts with a triangle symbol, the single trip ①、②、③ is a sample trip of monday 10:00-11:00, the corresponding historical driving data comprises the current mileage or the current driving duration of the single trip ①、②、③, and the historical driving data is subjected to statistical calculation or input into a mathematical model and a prediction model to obtain the predicted mileage or the predicted duration of the current trip.
In one embodiment, a single trip with 10 start times in the same time interval is selected as the sample trip corresponding to the time interval, and it should be noted that the 10 single trips may not occur in 10 consecutive statistical periods.
Taking the median of the driving mileage of 10 times of single journey as the predicted driving mileage of the journey; and taking the median of the running duration of 10 single trips as the predicted running duration of the current trip.
The vehicle driving has the characteristic of high randomness, and the median is used as the predicted value, so that the predicted result is more accurate and is not influenced by the extreme value and the abnormal value.
The cloud platform transmits the predicted value corresponding to each time interval to the vehicle end, and the vehicle end searches and retrieves the predicted value when responding to the heating request.
It should be noted that, in some embodiments, prediction of energy-compensating habits and current starting driving data may be performed at the vehicle end, and specific processes refer to the foregoing.
Fig. 6 shows a process of determining what heating mode is adopted according to energy supplementing habit and predicted driving data in one embodiment, when a user is habitually charged, PTC heating is preferentially adopted regardless of predicted mileage or predicted duration, and when the electric quantity is reduced to a starting condition of the range extender, the range extender is restarted, and the waste heat of the range extender is used for heating.
When the energy supplementing habit is habitual oiling, the heating mode is further judged according to the predicted mileage or the predicted duration, and when the predicted mileage is less than the mileage threshold or the predicted duration is less than the duration threshold, PTC heating is also prioritized, otherwise, the range extender is started in advance to heat by using waste heat.
It should be noted that, the specific process of the thermal management system for the waste heat utilization of the range extender may refer to the existing manner, and will not be described herein.
In the above embodiments, even if PTC heating is confirmed to be preferentially adopted, when the electric quantity (generally referred to as the state of charge, or SOC) is reduced to the start condition (i.e., start SOC) of the range extender, the range extender is started, and the start SOC is generally a fixed value, for example, generally fixed to 70% in the fuel-oil priority mode and fixed to 20% in the pure-electric priority mode.
Illustratively, the vehicle may provide an intelligent adjustment mode, and after acquiring the energy charging habit information of the user, further includes:
according to the energy supplementing habit information, determining an adjustment mode of the starting charge state of the range extender comprises the following steps:
When the energy supplementing habit information is habit charging, the starting SOC is adjusted downwards according to the down-regulation value, so that the starting threshold of the range extender is increased, more electric energy is utilized, and the pure electric driving experience is improved.
When the energy supplementing habit information is habit oil filling, the starting SOC is adjusted upwards according to the up-regulation value, the starting threshold of the range extender is lowered, and the range extender is started at a higher SOC and is closer to the habit of a user who is familiar with the habit oil.
On the other hand, the specific values of the turndown value and the turnup value are determined according to vehicle parameters affecting the vehicle battery power consumption speed, which may include deviations of the ambient temperature from the battery rated operating temperature, vehicle load, and battery health.
Specifically, for the user who uses electricity, the use experience of the electric energy needs to be improved, when the deviation between the ambient temperature and the rated running temperature of the battery is larger, the influence on the service life and the performance of the battery is larger, and a smaller down-regulating value is configured, so that the battery protection is facilitated;
When the load of the vehicle is larger, the influence on the endurance capacity and performance of the battery is larger, and a larger down-regulating value is configured, so that the starting SOC is reduced more, the battery energy can be utilized more, and the endurance capacity is maintained.
When the battery health is lower, the charge and discharge capacity of the battery is reduced, a smaller down-regulating value is configured, battery protection is facilitated, and in a specific implementation process, a mathematical model of the down-regulating value, deviation, load and battery health under the electricity utilization habit can be established.
For users who use conventional oil, the attention to the battery power shortage needs to be raised, and the battery power shortage caused by heating power consumption and running electric conduction is avoided.
When the deviation between the ambient temperature and the rated running temperature of the battery is larger, the load of the vehicle is larger and the health of the battery is lower, the battery is kept at a higher SOC level to be beneficial to battery protection, so that a larger up-regulation value is configured, the starting SOC can be adjusted more quickly, and in the specific implementation process, a mathematical model of the up-regulation value and the deviation under the oil consumption habit, the load and the health of the battery can be established.
In actual implementation, the frequency of adjustment for the start-up SOC may be limited, for example once a week; on the other hand, the upper and lower extreme values of the start-up SOC may be limited, for example, the upper limit value is limited to 70% and the lower limit value is limited to 20%.
Under the intelligent mode, different starting SOC adjustment strategies are respectively configured for different energy supplementing habits, so that the energy utilization of the vehicle can be more in line with the habits and requirements of users, and the battery can be protected.
It should be understood that, although the steps in the flowcharts of fig. 1,3, 4, and 6 are shown in order as indicated by the arrows, these steps are not necessarily performed in order as indicated by the arrows. The steps are not strictly limited to the order of execution unless explicitly recited herein, and the steps may be executed in other orders. Moreover, at least some of the steps of fig. 1,3, 4, 6 may include multiple sub-steps or phases, which are not necessarily performed at the same time, but may be performed at different times, and the order of execution of the sub-steps or phases is not necessarily sequential, but may be performed in turn or alternately with at least some of the other steps or phases.
In one embodiment, as shown in fig. 7, there is provided a range-extending vehicle heating control device including: a first acquisition module 401 and a judgment module 402, wherein:
The first obtaining module 401 is configured to obtain energy supplementing habit information of a user in response to a heating request instruction after a vehicle is started, where the energy supplementing habit information of the user includes habit of charging or habit of refueling, the energy supplementing habit information is determined according to a historical energy supplementing frequency of the user, and the historical energy supplementing frequency includes a charging frequency and a refueling frequency in a statistical period;
the judging module 402 is configured to determine, according to the energy-supplementing habit information of the user, a heating mode of the vehicle after the vehicle is started, where the determining includes determining that the heater heats preferentially when the energy-supplementing habit information is habit charging; the heating mode comprises heating by a heater or heating by waste heat of a range extender.
According to the range-extended vehicle heating control device, after a user starts a vehicle, energy supplementing habit information of the user is obtained in response to a heating request instruction, the energy supplementing habit information is determined based on the historical charging times and the oiling times of the user, when the energy supplementing habit of the user is habit charging, the user is considered to be capable of conveniently obtaining electric energy or subjective habit electricity utilization running of the user, the heating mode after the starting can be determined to be the preferential heating of the heater, the electric energy is preferentially utilized, and excessive consumption of fuel is avoided.
In one embodiment, the device further includes a second obtaining module 403, where the second obtaining module 403 obtains a starting time of the current start of the vehicle when the energy supplementing habit information is to be used to refuel; and obtaining the predicted running data corresponding to the current starting according to the starting time.
The predicted driving data may be calculated by the cloud platform and issued and stored at the vehicle end, the predicted driving data is determined by the cloud platform according to single trip data of the vehicle history, where the single trip data includes a current starting time and current historical driving data, and the historical driving data includes a current mileage and/or a current duration, and the second obtaining module 403 searches the predicted driving mileage or the driving duration after the current starting based on the starting time.
The judging module 402 further performs threshold judgment according to the predicted driving data, and determines the heating mode of the vehicle after the current start.
In one embodiment, the determining module 402 determines that the range extender waste heat is preferentially heated when the predicted mileage is greater than the mileage threshold or the predicted duration is greater than the duration threshold, so as to control the range extender to start and perform waste heat utilization; and determining that the heater heats preferentially when the predicted mileage is less than or equal to the mileage threshold and the predicted duration is less than or equal to the duration threshold.
In one embodiment, the prediction of energy replenishment habit is completed by a cloud platform, which obtains the number of charging and refueling times in a statistical period from a vehicle end; when the charging times are greater than zero and the refueling times are equal to zero, determining the priority energy supplementing type of the current statistical period as charging priority; or when the refueling times are greater than zero and the charging times are equal to zero, determining that the priority energy supplementing type of the current statistical period is the refueling priority; continuously counting and updating the number of counting periods of different priority energy supplementing types, comprising: counting and updating a first number of charge-priority counting periods and a second number of fueling-priority counting periods; when the first quantity reaches a statistical threshold before the second quantity, determining that energy supplementing habit information of the user is habit charging; or when the second quantity reaches a statistical threshold before the first quantity, determining that the energy supplementing habit information of the user is habitual refueling.
The cloud platform issues the calculation result to the storage unit of the vehicle end for storage, and the calculation result is called by the first obtaining module 401 when the vehicle end responds to the heating request.
In one embodiment, the cloud platform calculates the predicted mileage or predicted duration of travel for each time interval of the day by:
According to historical single trip data, sample trip data are obtained, wherein the sample trip data are single trip data in a target time interval at the starting moment;
Obtaining the predicted mileage and/or the predicted duration of the current start according to the current mileage and/or the current duration of the sample travel data; the statistical period is divided into a plurality of time intervals according to preset duration, and the target time interval is a time interval corresponding to the starting time of the current starting.
Specifically, the cloud platform can be used as the predicted mileage and/or the predicted duration of the current start according to the median of the current mileage and/or the median of the current duration of the plurality of sample trip data.
In some embodiments, the device further includes an adjustment module, where the adjustment module is configured to determine, according to the energy-compensating habit information, an adjustment manner of a starting state of charge of the range extender, and when the energy-compensating habit information is habit charging, adjust the starting state of charge down according to a down-adjustment value; and when the energy supplementing habit information is habit oil filling, the starting charge state is up-regulated according to the up-regulating value.
The down-regulation value and the up-regulation value are determined according to vehicle parameters, wherein the vehicle parameters comprise deviation of an ambient temperature and a rated running temperature of a battery, a vehicle load and a battery health degree, and the down-regulation value has a negative correlation with the deviation, a positive correlation with the vehicle load and a positive correlation with the battery health degree; the up-regulation value has a positive correlation with the deviation, a positive correlation with the vehicle load, and a negative correlation with the battery health.
The specific limitation of the extended-range vehicle heating control device may be referred to as the limitation of the extended-range vehicle heating control method hereinabove, and will not be described herein. The above-described various modules in the extended range vehicle heating control device may be implemented in whole or in part by software, hardware, and combinations thereof. The above modules may be embedded in hardware or may be independent of a processor in the computer device, or may be stored in software in a memory in the computer device, so that the processor may call and execute operations corresponding to the above modules.
In one embodiment, a computer device is provided, which may be a terminal, and the internal structure thereof may be as shown in fig. 8. The computer device includes a processor, a memory, a network interface, a display screen, and an input device connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program when executed by a processor implements a range-extending vehicle heating control method. The display screen of the computer equipment can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer equipment can be a touch layer covered on the display screen, can also be keys, a track ball or a touch pad arranged on the shell of the computer equipment, and can also be an external keyboard, a touch pad or a mouse and the like.
It will be appreciated by those skilled in the art that the structure shown in FIG. 8 is merely a block diagram of some of the structures associated with the present inventive arrangements and is not limiting of the computer device to which the present inventive arrangements may be applied, and that a particular computer device may include more or fewer components than shown, or may combine some of the components, or have a different arrangement of components.
In one embodiment, a computer device is provided comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, the processor implementing the steps of when executing the computer program:
The method comprises the steps of responding to a heating request instruction after a vehicle is started, obtaining energy supplementing habit information of a user, wherein the energy supplementing habit information of the user comprises habit charging or habit oiling, the energy supplementing habit information is determined according to historical energy supplementing times of the user, and the historical energy supplementing times comprise charging times and oiling times in a statistical period;
Determining a heating mode of the vehicle after the vehicle is started according to the energy supplementing habit information of the user, wherein the heating mode comprises the step of determining that the heater heats preferentially when the energy supplementing habit information is habit charging; the heating mode comprises heating by a heater or heating by waste heat of a range extender.
In one embodiment, the processor when executing the computer program further performs the steps of: when the energy supplementing habit information is habitual oiling, acquiring the starting moment of the vehicle for starting at this time;
Obtaining predicted running data corresponding to the current starting according to the starting time, wherein the predicted running data comprises predicted mileage and/or predicted duration, the predicted running data is determined according to single trip data of vehicle history, the single trip data comprises current starting time and current historical running data, and the historical running data comprises current mileage and/or current duration;
and judging a threshold value according to the predicted running data, and determining a heating mode of the vehicle after the vehicle is started.
And when the predicted mileage is greater than a mileage threshold or the predicted duration is greater than a duration threshold, determining that the waste heat of the range extender is heated preferentially so as to control the range extender to start and utilize the waste heat.
And when the predicted mileage is less than or equal to the mileage threshold and the predicted duration is less than or equal to the duration threshold, determining that the heater heats preferentially.
In one embodiment, the processor when executing the computer program further performs the steps of: acquiring the charging times and the refueling times in a statistical period;
The method for determining the priority energy supplementing type of the current statistical period according to the charging times and the refueling times comprises the following steps:
when the charging times are greater than zero and the refueling times are equal to zero, determining the priority energy supplementing type of the current statistical period as charging priority; or when the refueling times are greater than zero and the charging times are equal to zero, determining that the priority energy supplementing type of the current statistical period is the refueling priority;
Continuously counting and updating the number of counting periods of different priority energy supplementing types, comprising: counting and updating a first number of charge-priority counting periods and a second number of fueling-priority counting periods;
when the first quantity reaches a statistical threshold before the second quantity, determining that energy supplementing habit information of the user is habit charging; or when the second quantity reaches a statistical threshold before the first quantity, determining that the energy supplementing habit information of the user is habitual refueling.
In one embodiment, the processor when executing the computer program further performs the steps of: according to historical single trip data, sample trip data are obtained, wherein the sample trip data are single trip data in a target time interval at the starting moment;
obtaining the predicted mileage and/or the predicted duration of the current start according to the current mileage and/or the current duration of the sample travel data;
The statistical period is divided into a plurality of time intervals according to preset duration, and the target time interval is a time interval corresponding to the starting time of the current starting.
In one mode, the median of the current mileage and/or the median of the current duration of the plurality of sample trip data is used as the predicted mileage and/or the predicted duration of the current start.
In one embodiment, the processor when executing the computer program further performs the steps of: according to the energy supplementing habit information, determining an adjustment mode of the starting charge state of the range extender comprises the following steps:
when the energy supplementing habit information is habit charging, the starting charge state is adjusted down according to the adjustment value;
When the energy supplementing habit information is habit oil filling, the starting charge state is up-regulated according to the up-regulating value;
The down-regulation value and the up-regulation value are determined according to vehicle parameters, wherein the vehicle parameters comprise deviation of an ambient temperature and a rated running temperature of a battery, a vehicle load and a battery health degree, and the down-regulation value has a negative correlation with the deviation, a positive correlation with the vehicle load and a positive correlation with the battery health degree; the up-regulation value has a positive correlation with the deviation, a positive correlation with the vehicle load, and a negative correlation with the battery health.
In one embodiment, a computer readable storage medium is provided having a computer program stored thereon, which when executed by a processor, performs the steps of:
The method comprises the steps of responding to a heating request instruction after a vehicle is started, obtaining energy supplementing habit information of a user, wherein the energy supplementing habit information of the user comprises habit charging or habit oiling, the energy supplementing habit information is determined according to historical energy supplementing times of the user, and the historical energy supplementing times comprise charging times and oiling times in a statistical period;
Determining a heating mode of the vehicle after the vehicle is started according to the energy supplementing habit information of the user, wherein the heating mode comprises the step of determining that the heater heats preferentially when the energy supplementing habit information is habit charging; the heating mode comprises heating by a heater or heating by waste heat of a range extender.
In one embodiment, the computer program when executed by the processor further performs the steps of:
When the energy supplementing habit information is habitual oiling, acquiring the starting moment of the vehicle for starting at this time;
Obtaining predicted running data corresponding to the current starting according to the starting time, wherein the predicted running data comprises predicted mileage and/or predicted duration, the predicted running data is determined according to single trip data of vehicle history, the single trip data comprises current starting time and current historical running data, and the historical running data comprises current mileage and/or current duration;
and judging a threshold value according to the predicted running data, and determining a heating mode of the vehicle after the vehicle is started.
Specifically, when the predicted mileage is greater than a mileage threshold or the predicted duration is greater than a duration threshold, determining that the waste heat of the range extender is heated preferentially, so as to control the range extender to start and utilize the waste heat.
And when the predicted mileage is less than or equal to the mileage threshold and the predicted duration is less than or equal to the duration threshold, determining that the heater heats preferentially.
In one embodiment, the computer program when executed by the processor further performs the steps of:
Acquiring the charging times and the refueling times in a statistical period;
The method for determining the priority energy supplementing type of the current statistical period according to the charging times and the refueling times comprises the following steps:
when the charging times are greater than zero and the refueling times are equal to zero, determining the priority energy supplementing type of the current statistical period as charging priority; or when the refueling times are greater than zero and the charging times are equal to zero, determining that the priority energy supplementing type of the current statistical period is the refueling priority;
Continuously counting and updating the number of counting periods of different priority energy supplementing types, comprising: counting and updating a first number of charge-priority counting periods and a second number of fueling-priority counting periods;
when the first quantity reaches a statistical threshold before the second quantity, determining that energy supplementing habit information of the user is habit charging; or when the second quantity reaches a statistical threshold before the first quantity, determining that the energy supplementing habit information of the user is habitual refueling.
In one embodiment, the computer program when executed by the processor further performs the steps of:
According to historical single trip data, sample trip data are obtained, wherein the sample trip data are single trip data in a target time interval at the starting moment;
and obtaining the predicted mileage and/or the predicted duration of the current start according to the current mileage and/or the current duration of the sample trip data.
In one embodiment, the median of the current mileage and/or the median of the current duration of the plurality of sample trip data is used as the predicted mileage and/or the predicted duration of the current start-up.
In one embodiment, the computer program when executed by the processor further performs the steps of: according to the energy supplementing habit information, determining an adjustment mode of the starting charge state of the range extender comprises the following steps:
when the energy supplementing habit information is habit charging, the starting charge state is adjusted down according to the adjustment value;
When the energy supplementing habit information is habit oil filling, the starting charge state is up-regulated according to the up-regulating value;
The down-regulation value and the up-regulation value are determined according to vehicle parameters, wherein the vehicle parameters comprise deviation of an ambient temperature and a rated running temperature of a battery, a vehicle load and a battery health degree, and the down-regulation value has a negative correlation with the deviation, a positive correlation with the vehicle load and a positive correlation with the battery health degree; the up-regulation value has a positive correlation with the deviation, a positive correlation with the vehicle load, and a negative correlation with the battery health.
Those skilled in the art will appreciate that implementing all or part of the above described methods may be accomplished by way of a computer program stored on a non-transitory computer readable storage medium, which when executed, may comprise the steps of the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in embodiments provided herein may include non-volatile and/or volatile memory. The nonvolatile memory can include Read Only Memory (ROM), programmable ROM (PROM), electrically Programmable ROM (EPROM), electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double Data Rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (SYNCHLINK) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), among others.
The technical features of the above embodiments may be arbitrarily combined, and all possible combinations of the technical features in the above embodiments are not described for brevity of description, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the description.
The above examples illustrate only a few embodiments of the application, which are described in detail and are not to be construed as limiting the scope of the application. It should be noted that it will be apparent to those skilled in the art that several variations and modifications can be made without departing from the spirit of the application, which are all within the scope of the application. Accordingly, the scope of protection of the present application is to be determined by the appended claims.

Claims (9)

1. A range-extending vehicle heating control method, characterized by comprising:
The method comprises the steps of responding to a heating request instruction after a vehicle is started, obtaining energy supplementing habit information of a user, wherein the energy supplementing habit information of the user comprises habit charging or habit oiling, the energy supplementing habit information is determined according to historical energy supplementing times of the user, and the historical energy supplementing times comprise charging times and oiling times in a statistical period;
determining a heating mode of the vehicle after the vehicle is started according to the energy supplementing habit information of the user, wherein the heating mode comprises the step of determining that the heater heats preferentially when the energy supplementing habit information is habit charging; the heating mode comprises the preferential heating of the heater or the preferential heating of the waste heat of the range extender;
after the energy supplementing habit information of the user is obtained, the method further comprises the following steps:
When the energy supplementing habit information is habitual oiling, acquiring the starting moment of the vehicle for starting at this time;
Obtaining predicted running data corresponding to the current starting according to the starting time, wherein the predicted running data comprises predicted mileage and/or predicted duration, the predicted running data is determined according to single trip data of vehicle history, the single trip data comprises current starting time and current historical running data, and the historical running data comprises current mileage and/or current duration;
and judging a threshold value according to the predicted running data, and determining a heating mode of the vehicle after the vehicle is started.
2. The extended-range vehicle heating control method according to claim 1, wherein the energy replenishment habit information is determined according to the number of times of historical energy replenishment of the user in the following manner:
Acquiring the charging times and the refueling times in a statistical period;
The method for determining the priority energy supplementing type of the current statistical period according to the charging times and the refueling times comprises the following steps:
when the charging times are greater than zero and the refueling times are equal to zero, determining the priority energy supplementing type of the current statistical period as charging priority; or when the refueling times are greater than zero and the charging times are equal to zero, determining that the priority energy supplementing type of the current statistical period is the refueling priority;
Continuously counting and updating the number of counting periods of different priority energy supplementing types, comprising: counting and updating a first number of charge-priority counting periods and a second number of fueling-priority counting periods;
when the first quantity reaches a statistical threshold before the second quantity, determining that energy supplementing habit information of the user is habit charging; or when the second quantity reaches a statistical threshold before the first quantity, determining that the energy supplementing habit information of the user is habitual refueling.
3. The extended-range vehicle heating control method according to claim 1, characterized in that the predicted travel data is determined from single-trip data of a vehicle history in the following manner:
According to historical single trip data, sample trip data are obtained, wherein the sample trip data are single trip data in a target time interval at the starting moment;
obtaining the predicted mileage and/or the predicted duration of the current start according to the current mileage and/or the current duration of the sample travel data;
The statistical period is divided into a plurality of time intervals according to preset duration, and the target time interval is a time interval corresponding to the starting time of the current starting.
4. The extended-range vehicle heating control method according to claim 3, wherein the obtaining the predicted mileage and/or the predicted time length for the current start includes:
And taking the median of the current mileage and/or the median of the current duration as the predicted mileage and/or the predicted duration of the current start according to the median of the current mileage and/or the median of the current duration of the plurality of sample trip data.
5. The extended-range vehicle heating control method according to claim 1, wherein the determining the heating mode after the vehicle is started up this time by performing threshold judgment according to the predicted running data includes:
When the predicted mileage is greater than a mileage threshold or the predicted duration is greater than a duration threshold, determining that the waste heat of the range extender is heated preferentially so as to control the range extender to start and utilize the waste heat; or alternatively, the first and second heat exchangers may be,
And when the predicted mileage is less than or equal to the mileage threshold and the predicted duration is less than or equal to the duration threshold, determining that the heater heats preferentially.
6. The extended-range vehicle heating control method according to claim 1, further comprising, after the energy-compensating habit information of the user is acquired:
according to the energy supplementing habit information, determining an adjustment mode of the starting charge state of the range extender comprises the following steps:
when the energy supplementing habit information is habit charging, the starting charge state is adjusted down according to the adjustment value;
When the energy supplementing habit information is habit oil filling, the starting charge state is up-regulated according to the up-regulating value;
The down-regulation value and the up-regulation value are determined according to vehicle parameters, wherein the vehicle parameters comprise deviation of an ambient temperature and a rated running temperature of a battery, a vehicle load and a battery health degree, and the down-regulation value has a negative correlation with the deviation, a positive correlation with the vehicle load and a positive correlation with the battery health degree; the up-regulation value has a positive correlation with the deviation, a positive correlation with the vehicle load, and a negative correlation with the battery health.
7. An extended range vehicle heating control apparatus, the apparatus comprising:
The system comprises a first acquisition module, a second acquisition module and a control module, wherein the first acquisition module is used for responding to a heating request instruction after a vehicle is started to acquire energy supplementing habit information of a user, the energy supplementing habit information of the user comprises habit charging or habit oiling, the energy supplementing habit information is determined according to historical energy supplementing times of the user, and the historical energy supplementing times comprise charging times and oiling times in a statistical period;
The judging module is used for determining a heating mode of the vehicle after the vehicle is started according to the energy supplementing habit information of the user, and determining that the heater heats preferentially when the energy supplementing habit information is habit charging; the heating mode comprises the preferential heating of the heater or the preferential heating of the waste heat of the range extender;
The second acquisition module is used for acquiring the starting time of the current starting of the vehicle when the energy supplementing habit information is used for habitual oiling; obtaining predicted running data corresponding to the current starting according to the starting time, wherein the predicted running data comprises predicted mileage and/or predicted duration, the predicted running data is determined according to single trip data of vehicle history, the single trip data comprises current starting time and current historical running data, and the historical running data comprises current mileage and/or current duration;
The judging module is also used for judging the threshold value according to the predicted running data and determining the heating mode of the vehicle after the vehicle is started.
8. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor implements the method of any of claims 1 to 6 when executing the computer program.
9. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the method of any one of claims 1 to 6.
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