CN106777625A - Evaluation method and system that driving behavior influences on oil consumption - Google Patents
Evaluation method and system that driving behavior influences on oil consumption Download PDFInfo
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Abstract
The present invention relates to automobile technical field, there is provided evaluation method and system that a kind of driving behavior influences on oil consumption, the method are comprised the following steps：Obtain the driving information of the multiple drivers for driving same model vehicle；At least one oil consumption influence index is parsed from the driving information of each driver；Each oil consumption influence index of each driver is compared with corresponding reference index respectively；According to comparative result, the corresponding evaluation score of oil consumption influence index is calculated by equation below：For the corresponding evaluation score y of oil consumption influence index for increasing oil consumption1：y1=a/b；For the corresponding evaluation score y of oil consumption influence index for reducing oil consumption2：y2=c/d；The system includes data obtaining module, parsing module, comparison module and evaluation module.The present invention is scored respectively by each the oil consumption influence index for parsing driving information, can effectively instruct driver to carry out more economical driving, reduces influence of the driving behavior to vehicle economy.
Description
Technical field
The present invention relates to automobile technical field, more particularly to a kind of evaluation method that is influenceed on oil consumption of driving behavior and it is
System.
Background technology
Fuel economy is an important performance of vehicle, and the fuel economy of vehicle can be tried by the heavy hub of vehicle
Test, the practical oil consumption of the standard consumption run of vehicle factory or in the market user is obtained.
Wherein, the heavy hub experiment of vehicle and the quasi- consumption run of vehicle emblem mark are repeatedly tried by specified professional driver
Test, and the oil consumption in result of the test averaged obtain；The practical oil consumption of in the market user is by substantial amounts of user oil
Consumption distribution trend averages to obtain.But, even identical vehicle, the oil consumption difference of different driver's experiments is larger.
For example, for commercial car, in vehicle weight hub experiment consumption run quasi- with vehicle emblem mark, two different examinations of driving habit
The oil consumption gap for testing driver may reach 1-2 liters, even if the double fuel consumption measuring error of same driver is likely to reach 1
Rise.Therefore existing method cannot judge the influence of the driving behavior to oil consumption of driver.
The content of the invention
The present invention is to solve the technology of influence of the driving behavior of driver to oil consumption cannot be judged in the prior art
Problem.
To solve the above problems, the invention provides the evaluation method that a kind of driving behavior influences on oil consumption, the method bag
Include following steps：
Obtain the driving information of the multiple drivers for driving same model vehicle；
At least one oil consumption influence index is parsed from the driving information of each driver；
Each described oil consumption influence index of each driver is compared with corresponding reference index respectively；
According to comparative result, the corresponding evaluation score of the oil consumption influence index is calculated by equation below：
For the corresponding evaluation score y of oil consumption influence index for increasing oil consumption1：
y1=a/b (1)；
Wherein, a represents the oil consumption influence index of increase oil consumption, and b represents the corresponding base of oil consumption influence index of increase oil consumption
Quasi- index；
For the corresponding evaluation score y of oil consumption influence index for reducing oil consumption2：
y2=c/d (2)；
Wherein, d represents the oil consumption influence index for reducing oil consumption, and c represents the corresponding base of oil consumption influence index for reducing oil consumption
Quasi- index.
Wherein, it is further comprising the steps of：What the driving behavior for calculating each driver by equation below influenceed on oil consumption
Evaluate total score y:
Wherein, K represents the number of the oil consumption influence index of the increase oil consumption that the driving information of each driver is parsed；Q
Represent the number of the oil consumption influence index of the reduction oil consumption that the driving information of each driver is parsed；x1 iRepresent i-th increase
The corresponding flexible strategy of oil consumption influence index of oil consumption；x2 jRepresent j-th corresponding flexible strategy of oil consumption influence index of reduction oil consumption；y1 i
Represent i-th corresponding evaluation score of oil consumption influence index of increase oil consumption；y2 jRepresent that the oil consumption influence of j-th reduction oil consumption refers to
Mark corresponding evaluation score.
Wherein, the reference index is pre-set level corresponding with the oil consumption influence index.
Wherein, it is further comprising the steps of：The one of driver in the multiple driver is selected to be driven as benchmark
Member, using the oil consumption influence index of the benchmark driver as reference index, the oil consumption shadow of the benchmark driver
The snap mark at least all oil consumption influence indexs including the multiple driver.
Wherein, the driving information includes engine operating parameter and whole-car parameterses.
Wherein, the engine operating parameter includes rotating speed, moment of torsion, power, most high-grade run time, distributive value, total oil
At least one in consumption, oil pressure and coolant temperature.
Wherein, the whole-car parameterses include at least one in speed, acceleration, throttle parameter and accelerator pedal position.
Wherein, at least one oil consumption influence index includes that engine speed index, engine gears index, vehicle add
Deceleration regime index, throttle index, vehicle creep condition index, oil consumption estimation coefficient index and vehicle climb and fall are estimated in index
At least one, wherein, the revolution of described every kilometer of engine of engine speed index expression, the engine gears index table
Show that engine is in the ratio between time and vehicle overall travel time of most high-grade state, the vehicle acceleration and deceleration state index includes car
Start-stop time, it is adjacent start twice between average time, speed time, vehicle as needed for zero accelerates to designated value at the uniform velocity
The ratio between time of traveling and vehicle overall travel time, first increase what is reduced afterwards more than average value, the speed of the acceleration of predetermined value
At least one in total speed that number of times and speed accumulate when increasing, it is average when the throttle index includes speed non-zero
The variance of throttle, average every kilometer of throttle are changed into non-zero from zero in accelerator open degree, throttle rate of change per second, vehicle travel process
At least one in the shared ratio in the vehicle travel process of the situation that accelerator open degree also reduces when number of times and speed reduce, institute
State vehicle creep condition index include being slided with shelves in accounting, neutral position sliding accounting and overall coasting distance accounting at least one
, the ratio between index expression engine power and speed are estimated in the oil consumption, and the vehicle climb and fall estimates index expression vehicle row
Climb and fall accounting during sailing.
Present invention also offers the evaluation system that a kind of driving behavior influences on oil consumption, the system includes：
Data obtaining module, the driving information for obtaining the multiple drivers for driving same model vehicle；
Parsing module, for parsing at least one oil consumption influence index from the driving information of each driver；
Comparison module, for each described oil consumption influence index of each driver to be entered with corresponding reference index respectively
Row compares；
Evaluation module, for according to comparative result, the corresponding evaluation of the oil consumption influence index being calculated by equation below
Fraction：
For the corresponding evaluation score y of oil consumption influence index for increasing oil consumption1：
y1=a/b (1)；
Wherein, a represents the oil consumption influence index of increase oil consumption, and b represents the corresponding base of oil consumption influence index of increase oil consumption
Quasi- index；
For the corresponding evaluation score y of oil consumption influence index for reducing oil consumption2：
y2=c/d (2)；
Wherein, d represents the oil consumption influence index for reducing oil consumption, and c represents the corresponding base of oil consumption influence index for reducing oil consumption
Quasi- index.
Wherein, also including selecting module and/or summarizing module, the selecting module is used to selecting in the multiple driver
One of driver as benchmark driver, the oil consumption influence index of the benchmark driver is referred to as benchmark
Mark, the oil consumption influence index at least all oil consumption influence indexs including the multiple driver of the benchmark driver；
The summarizing module is used for the evaluation total score y that is influenceed on oil consumption of driving behavior for calculating each driver by equation below:
Wherein, K represents the number of the oil consumption influence index of the increase oil consumption that the driving information of each driver is parsed；Q
Represent the number of the oil consumption influence index of the reduction oil consumption that the driving information of each driver is parsed；x1 iRepresent i-th increase
The corresponding flexible strategy of oil consumption influence index of oil consumption；x2 jRepresent j-th corresponding flexible strategy of oil consumption influence index of reduction oil consumption；y1 i
Represent i-th corresponding evaluation score of oil consumption influence index of increase oil consumption；y2 jRepresent that the oil consumption influence of j-th reduction oil consumption refers to
Mark corresponding evaluation score.
The present invention is scored respectively by each the oil consumption influence index for parsing driving information, can effectively be referred to
Leading driver carries out more economical driving, reduces influence of the driving behavior to vehicle economy.
Brief description of the drawings
Fig. 1 is a kind of flow chart of evaluation method that is influenceed on oil consumption of driving behavior of the utility model embodiment 1；
Fig. 2 is a kind of structure chart of evaluation system that is influenceed on oil consumption of driving behavior of the utility model embodiment 2.
Specific embodiment
To make the purpose, technical scheme and advantage of invention clearer, below in conjunction with the accompanying drawing in invention, in invention
Technical scheme be explicitly described, it is clear that described embodiment is a part of embodiment of invention, rather than whole realities
Apply example.Based on the embodiment in invention, what those of ordinary skill in the art were obtained under the premise of creative work is not made
Every other embodiment, belongs to the scope of invention protection.
Embodiment 1
As shown in figure 1, the invention provides the evaluation method that a kind of driving behavior influences on oil consumption, the method includes following
Step：
Obtain the driving information of the multiple drivers for driving same model vehicle；
At least one oil consumption influence index is parsed from the driving information of each driver；
Each oil consumption influence index of each driver is compared with corresponding reference index respectively；
According to comparative result, the corresponding evaluation score of oil consumption influence index is calculated by equation below：
For the corresponding evaluation score y of oil consumption influence index for increasing oil consumption1：
y1=a/b (1)；
Wherein, a represents the oil consumption influence index of increase oil consumption, and b represents the corresponding base of oil consumption influence index of increase oil consumption
Quasi- index；
For the corresponding evaluation score y of oil consumption influence index for reducing oil consumption2：
y2=c/d (2)；
Wherein, d represents the oil consumption influence index for reducing oil consumption, and c represents the corresponding base of oil consumption influence index for reducing oil consumption
Quasi- index.
The present invention refers to each the oil consumption influence index obtained from the driving information of each driver with corresponding benchmark
Mark is compared, and then the oil consumption influence index of the oil consumption influence index and reduction oil consumption that will increase oil consumption is scored respectively,
The oil consumption that the corresponding driving behavior of explanation oil consumption influence index higher of wherein scoring is produced is fewer, so that driver can be according to every
The scoring of individual oil consumption influence index carries out the improvement of corresponding driving behavior, and then reduces shadow of the driving behavior to vehicle economy
Ring.
Further, it is further comprising the steps of：The driving behavior of each driver is calculated to oil consumption shadow by equation below
Loud evaluation total score y:
Wherein, K represents the number of the oil consumption influence index of the increase oil consumption that the driving information of each driver is parsed；Q
Represent the number of the oil consumption influence index of the reduction oil consumption that the driving information of each driver is parsed；x1 iRepresent i-th increase
The corresponding flexible strategy of oil consumption influence index of oil consumption；x2 jRepresent j-th corresponding flexible strategy of oil consumption influence index of reduction oil consumption；y1 i
Represent i-th corresponding evaluation score of oil consumption influence index of increase oil consumption；y2 jRepresent that the oil consumption influence of j-th reduction oil consumption refers to
Mark corresponding evaluation score.
Thus, obtain evaluating total score after each corresponding evaluation score of oil consumption influence index to be weighted summation,
And evaluated by the driving behavior of the evaluation total score to driver, that is, evaluate the driving behavior of the total score driver higher more
Excellent, the oil consumption of vehicle is lower, and influence of the driving behavior to vehicle economy is smaller.
Wherein, reference index is pre-set level corresponding with oil consumption influence index, you can what setting to be gathered in advance drives
The corresponding reference index of all oil consumption influence indexs that the information of sailing can be parsed.So set and be advantageous in that, reference index is only
One clearly and simplifies step.
In addition, reference index is in addition to it can be pre-set level, the oil consumption influence of one of driver is can also be
Index, specifically includes following steps：One of driver in the multiple drivers of selection drives benchmark as benchmark driver
Used as reference index, the oil consumption influence index of benchmark driver at least includes the institute of multiple drivers to the oil consumption influence index of the person of sailing
There is oil consumption influence index.So set and be advantageous in that, by the oil consumption influence index of one of driver and other drivers
Oil consumption influence index carry out division arithmetic, influence of the other factors to evaluation score can be eliminated.
Preferably, driving information includes engine operating parameter and whole-car parameterses.
For example, as shown in table 1：
Table 1 drives the driving information of multiple drivers in the same time of same model vehicle
Wherein, engine speed, engine accumulation revolution, engine operating duration, engine oil pressure, coolant temperature, machine
Oil temperature, total oil consumption and moment of torsion are engine operating parameter；Speed and accelerator pedal position are whole-car parameterses.
Further, engine operating parameter includes rotating speed, moment of torsion, power, most high-grade run time, distributive value, total oil
At least one in consumption, oil pressure and coolant temperature.
Further, whole-car parameterses include at least one in speed, acceleration, throttle parameter and accelerator pedal position.
Wherein, at least one oil consumption influence index includes engine speed index, engine gears index, vehicle acceleration and deceleration
In state index, throttle index, vehicle creep condition index, oil consumption estimation coefficient index and vehicle climb and fall estimation index extremely
It is few one, wherein, the revolution of every kilometer of engine of engine speed index expression, engine gears index expression engine is in
The ratio between time of most high-grade state and vehicle overall travel time, vehicle acceleration and deceleration state index include vehicle start-stop time, adjacent
Time and car that time as needed for zero accelerates to designated value of average time, speed, vehicle between starting twice at the uniform velocity travel
The ratio between overall travel time, the number of times that reduces afterwards and speed are first increased more than average value, the speed of the acceleration of predetermined value increase
When total speed for accumulating at least one, throttle index includes average accelerator open degree, the throttle per second during speed non-zero
The variance of throttle, average every kilometer of throttle are when zero number of times for being changed into non-zero and speed reduce in rate of change, vehicle travel process
At least one in the shared ratio in the vehicle travel process of the situation that accelerator open degree also reduces, vehicle creep condition index bag
At least one for sliding in accounting, neutral position sliding accounting and overall coasting distance accounting with shelves is included, index expression hair is estimated in oil consumption
The ratio between motivation power and speed, vehicle climb and fall estimate climb and fall accounting in index expression vehicle travel process.
For example, as shown in table 2：
The oil consumption influence index of 2 three drivers of table
Embodiment 2
As shown in Fig. 2 present invention also offers the evaluation system that a kind of driving behavior influences on oil consumption, the system includes：
Data obtaining module, the driving information for obtaining the multiple drivers for driving same model vehicle；
Parsing module, for parsing at least one oil consumption influence index from the driving information of each driver；
Comparison module, for each oil consumption influence index of each driver to be compared with corresponding reference index respectively
Compared with；
Evaluation module, for according to comparative result, the corresponding evaluation score of oil consumption influence index being calculated by equation below：
For the corresponding evaluation score y of oil consumption influence index for increasing oil consumption1：
y1=a/b (1)；
Wherein, a represents the oil consumption influence index of increase oil consumption, and b represents the corresponding base of oil consumption influence index of increase oil consumption
Quasi- index；
For the corresponding evaluation score y of oil consumption influence index for reducing oil consumption2：
y2=c/d (2)；
Wherein, d represents the oil consumption influence index for reducing oil consumption, and c represents the corresponding base of oil consumption influence index for reducing oil consumption
Quasi- index.
Further, also including selecting module and/or summarizing module, selecting module is used to selecting its in multiple drivers
In a driver as benchmark driver, using the oil consumption influence index of benchmark driver as reference index, benchmark driver
Oil consumption influence index at least include all oil consumption influence indexs of multiple drivers；Summarizing module is by by based on equation below
Calculate the evaluation total score y that the driving behavior of each driver influences on oil consumption:
Wherein, K represents the number of the oil consumption influence index of the increase oil consumption that the driving information of each driver is parsed；Q
Represent the number of the oil consumption influence index of the reduction oil consumption that the driving information of each driver is parsed；x1 iRepresent i-th increase
The corresponding flexible strategy of oil consumption influence index of oil consumption；x2 jRepresent j-th corresponding flexible strategy of oil consumption influence index of reduction oil consumption；y1 i
Represent i-th corresponding evaluation score of oil consumption influence index of increase oil consumption；y2 jRepresent that the oil consumption influence of j-th reduction oil consumption refers to
Mark corresponding evaluation score.
All parts implementation method of the invention can be realized with hardware, or be transported with one or more processor
Capable software module is realized, or is realized with combinations thereof.It should be noted that above-mentioned implementation method is said to the present invention
It is bright rather than limiting the invention, and those skilled in the art are without departing from the scope of the appended claims
Replacement implementation method can be designed.In the claims, any reference symbol being located between bracket should not be configured to power
The limitation that profit is required.Word "comprising" does not exclude the presence of element or step not listed in the claims.Before element
Word "a" or "an" does not exclude the presence of element as multiple.The present invention can be by means of including some different elements
Hardware and realized by means of properly programmed computer.If in the unit claim for listing equipment for drying, these dresses
Several in putting can be embodied by same hardware branch.The use of word first, second, and third is not
Represent any order.These words can be construed to title.
Although being described in conjunction with the accompanying embodiments of the present invention, those skilled in the art can not depart from this hair
Various modifications and variations are made in the case of bright spirit and scope, such modification and modification are each fallen within by appended claims
Within limited range.
Claims (10)
1. the evaluation method that a kind of driving behavior influences on oil consumption, it is characterised in that comprise the following steps：
Obtain the driving information of the multiple drivers for driving same model vehicle；
At least one oil consumption influence index is parsed from the driving information of each driver；
Each described oil consumption influence index of each driver is compared with corresponding reference index respectively；
According to comparative result, the corresponding evaluation score of the oil consumption influence index is calculated by equation below：
For the corresponding evaluation score y of oil consumption influence index for increasing oil consumption1：
y1=a/b (1)；
Wherein, a represents the oil consumption influence index of increase oil consumption, and b represents that the corresponding benchmark of oil consumption influence index of increase oil consumption refers to
Mark；
For the corresponding evaluation score y of oil consumption influence index for reducing oil consumption2：
y2=c/d (2)；
Wherein, d represents the oil consumption influence index for reducing oil consumption, and c represents that the corresponding benchmark of oil consumption influence index for reducing oil consumption refers to
Mark.
2. the evaluation method that driving behavior according to claim 1 influences on oil consumption, it is characterised in that also including following step
Suddenly：The evaluation total score y that the driving behavior for calculating each driver by equation below influences on oil consumption:
Wherein, K represents the number of the oil consumption influence index of the increase oil consumption that the driving information of each driver is parsed；Q is represented
The number of the oil consumption influence index of the reduction oil consumption that the driving information of each driver is parsed；x1 iRepresent i-th increase oil consumption
The corresponding flexible strategy of oil consumption influence index；x2 jRepresent j-th corresponding flexible strategy of oil consumption influence index of reduction oil consumption；y1 iRepresent
I-th corresponding evaluation score of oil consumption influence index of increase oil consumption；y2 jRepresent j-th oil consumption influence index pair of reduction oil consumption
The evaluation score answered.
3. the evaluation method that driving behavior according to claim 1 influences on oil consumption, it is characterised in that the reference index
It is pre-set level corresponding with the oil consumption influence index.
4. the evaluation method that driving behavior according to claim 1 influences on oil consumption, it is characterised in that also including following step
Suddenly：The one of driver in the multiple driver is selected as benchmark driver, by described in the benchmark driver
Oil consumption influence index at least includes the multiple driving as reference index, the oil consumption influence index of the benchmark driver
All oil consumption influence indexs of member.
5. the evaluation method that driving behavior according to claim 1 influences on oil consumption, it is characterised in that the driving information
Including engine operating parameter and whole-car parameterses.
6. the evaluation method that driving behavior according to claim 5 influences on oil consumption, it is characterised in that the engine fortune
Line parameter include rotating speed, moment of torsion, power, most high-grade run time, distributive value, total oil consumption, oil pressure and coolant temperature in extremely
One item missing.
7. the evaluation method that driving behavior according to claim 5 influences on oil consumption, it is characterised in that the whole-car parameterses
Including at least one in speed, acceleration, throttle parameter and accelerator pedal position.
8. the evaluation method that the driving behavior according to any one of claim 1 to 7 influences on oil consumption, it is characterised in that institute
Stating at least one oil consumption influence index includes engine speed index, engine gears index, vehicle acceleration and deceleration state index, oil
Door index, vehicle creep condition index, oil consumption estimation coefficient index and vehicle climb and fall estimate at least one of index, its
In, the revolution of described every kilometer of engine of engine speed index expression, the engine gears index expression engine is in
The ratio between time of most high-grade state and vehicle overall travel time, the vehicle acceleration and deceleration state index include vehicle start-stop time,
It is adjacent start twice between time as needed for zero accelerates to designated value of average time, speed, time at the uniform velocity travelling of vehicle
First increase the number of times and speed for reducing afterwards with the ratio between vehicle overall travel time, more than average value, the speed of the acceleration of predetermined value
At least one in the total speed accumulated during increase, average accelerator open degree when the throttle index includes speed non-zero,
The variance of throttle in throttle rate of change per second, vehicle travel process, average every kilometer of throttle are from zero number of times and car for being changed into non-zero
At least one when speed reduces in the shared ratio in the vehicle travel process of accelerator open degree situation about also reducing, the vehicle is slided
Row state index includes at least one for sliding in accounting, neutral position sliding accounting and overall coasting distance accounting with shelves, the oil
Consumption estimates the ratio between index expression engine power and speed, and the vehicle climb and fall is estimated in index expression vehicle travel process
Descending accounting.
9. the evaluation system that a kind of driving behavior influences on oil consumption, it is characterised in that including：
Data obtaining module, the driving information for obtaining the multiple drivers for driving same model vehicle；
Parsing module, for parsing at least one oil consumption influence index from the driving information of each driver；
Comparison module, for each described oil consumption influence index of each driver to be compared with corresponding reference index respectively
Compared with；
Evaluation module, for according to comparative result, the corresponding evaluation score of the oil consumption influence index being calculated by equation below：
For the corresponding evaluation score y of oil consumption influence index for increasing oil consumption1：
y1=a/b (1)；
Wherein, a represents the oil consumption influence index of increase oil consumption, and b represents that the corresponding benchmark of oil consumption influence index of increase oil consumption refers to
Mark；
For the corresponding evaluation score y of oil consumption influence index for reducing oil consumption2：
y2=c/d (2)；
Wherein, d represents the oil consumption influence index for reducing oil consumption, and c represents that the corresponding benchmark of oil consumption influence index for reducing oil consumption refers to
Mark.
10. the evaluation system that driving behavior according to claim 9 influences on oil consumption, it is characterised in that also including selection
Module and/or summarizing module, the selecting module are used to select the one of driver in the multiple driver as base
Quasi- driver, using the oil consumption influence index of the benchmark driver as reference index, the benchmark driver's is described
The oil consumption influence index at least all oil consumption influence indexs including the multiple driver；The summarizing module is used for by as follows
Formula calculates the evaluation total score y that the driving behavior of each driver influences on oil consumption:
Wherein, K represents the number of the oil consumption influence index of the increase oil consumption that the driving information of each driver is parsed；Q is represented
The number of the oil consumption influence index of the reduction oil consumption that the driving information of each driver is parsed；x1 iRepresent i-th increase oil consumption
The corresponding flexible strategy of oil consumption influence index；x2 jRepresent j-th corresponding flexible strategy of oil consumption influence index of reduction oil consumption；y1 iRepresent
I-th corresponding evaluation score of oil consumption influence index of increase oil consumption；y2 jRepresent j-th oil consumption influence index pair of reduction oil consumption
The evaluation score answered.
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| CN109115997A (en) * | 2018-08-21 | 2019-01-01 | 上海博泰悦臻网络技术服务有限公司 | oil quality monitoring method and server |
| CN109445409B (en) * | 2018-10-24 | 2019-12-27 | 百度在线网络技术（北京）有限公司 | Evaluation method, device, equipment and storage medium of automatic driving system |
| CN109445409A (en) * | 2018-10-24 | 2019-03-08 | 百度在线网络技术（北京）有限公司 | Appraisal procedure, device, equipment and the storage medium of automated driving system |
| CN109785464A (en) * | 2019-01-25 | 2019-05-21 | 合肥市智信汽车科技有限公司 | A kind of taxi remotely monitors and driving behavior evaluation method |
| CN111311903B (en) * | 2019-02-25 | 2021-07-30 | 厦门雅迅网络股份有限公司 | Vehicle driving state monitoring method, terminal device and storage medium |
| CN111311903A (en) * | 2019-02-25 | 2020-06-19 | 厦门雅迅网络股份有限公司 | Vehicle driving state monitoring method, terminal device and storage medium |
| CN109872075B (en) * | 2019-03-05 | 2021-02-02 | 北京经纬恒润科技股份有限公司 | Evaluation method and system for fuel consumption related driving behaviors |
| CN109872075A (en) * | 2019-03-05 | 2019-06-11 | 北京经纬恒润科技有限公司 | A kind of appraisal procedure and system of the driving behavior of oil consumption correlation |
| CN110689131A (en) * | 2019-09-26 | 2020-01-14 | 长安大学 | Vehicle energy consumption influence analysis method based on naive Bayes model |
| CN113076697A (en) * | 2021-04-20 | 2021-07-06 | 潍柴动力股份有限公司 | Typical driving condition construction method, related device and computer storage medium |
| CN113076697B (en) * | 2021-04-20 | 2022-11-29 | 潍柴动力股份有限公司 | Typical driving condition construction method, related device and computer storage medium |
| CN113435666A (en) * | 2021-07-20 | 2021-09-24 | 山东大学 | Commercial vehicle oil consumption prediction method and system based on vehicle running state |
| CN113435666B (en) * | 2021-07-20 | 2023-11-07 | 山东大学 | Commercial vehicle fuel consumption prediction method and system based on vehicle running state |
| CN114987505A (en) * | 2022-06-15 | 2022-09-02 | 东风柳州汽车有限公司 | Evaluation guiding method and system for ramp driving behavior of commercial vehicle |
| CN114987505B (en) * | 2022-06-15 | 2024-04-26 | 东风柳州汽车有限公司 | Evaluation guiding method and system for commercial vehicle ramp driving behavior |
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