CN117458049A - Fuzzy control method for refrigerating capacity of liquid cooling unit, liquid cooling unit and energy storage system - Google Patents

Fuzzy control method for refrigerating capacity of liquid cooling unit, liquid cooling unit and energy storage system Download PDF

Info

Publication number
CN117458049A
CN117458049A CN202311286130.1A CN202311286130A CN117458049A CN 117458049 A CN117458049 A CN 117458049A CN 202311286130 A CN202311286130 A CN 202311286130A CN 117458049 A CN117458049 A CN 117458049A
Authority
CN
China
Prior art keywords
fuzzy
liquid cooling
temperature control
cooling unit
control error
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN202311286130.1A
Other languages
Chinese (zh)
Inventor
刘重强
李金强
刘汉铭
李�杰
吕鑫
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Dongguan Shenhe Electric Co ltd
Original Assignee
Dongguan Shenhe Electric Co ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Dongguan Shenhe Electric Co ltd filed Critical Dongguan Shenhe Electric Co ltd
Priority to CN202311286130.1A priority Critical patent/CN117458049A/en
Publication of CN117458049A publication Critical patent/CN117458049A/en
Pending legal-status Critical Current

Links

Classifications

    • HELECTRICITY
    • H01ELECTRIC ELEMENTS
    • H01MPROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL ENERGY INTO ELECTRICAL ENERGY
    • H01M10/00Secondary cells; Manufacture thereof
    • H01M10/60Heating or cooling; Temperature control
    • H01M10/63Control systems
    • H01M10/633Control systems characterised by algorithms, flow charts, software details or the like
    • HELECTRICITY
    • H01ELECTRIC ELEMENTS
    • H01MPROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL ENERGY INTO ELECTRICAL ENERGY
    • H01M10/00Secondary cells; Manufacture thereof
    • H01M10/60Heating or cooling; Temperature control
    • H01M10/61Types of temperature control
    • H01M10/613Cooling or keeping cold
    • HELECTRICITY
    • H01ELECTRIC ELEMENTS
    • H01MPROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL ENERGY INTO ELECTRICAL ENERGY
    • H01M10/00Secondary cells; Manufacture thereof
    • H01M10/60Heating or cooling; Temperature control
    • H01M10/62Heating or cooling; Temperature control specially adapted for specific applications
    • H01M10/627Stationary installations, e.g. power plant buffering or backup power supplies
    • HELECTRICITY
    • H01ELECTRIC ELEMENTS
    • H01MPROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL ENERGY INTO ELECTRICAL ENERGY
    • H01M10/00Secondary cells; Manufacture thereof
    • H01M10/60Heating or cooling; Temperature control
    • H01M10/65Means for temperature control structurally associated with the cells
    • H01M10/656Means for temperature control structurally associated with the cells characterised by the type of heat-exchange fluid
    • H01M10/6567Liquids
    • HELECTRICITY
    • H01ELECTRIC ELEMENTS
    • H01MPROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL ENERGY INTO ELECTRICAL ENERGY
    • H01M10/00Secondary cells; Manufacture thereof
    • H01M10/60Heating or cooling; Temperature control
    • H01M10/65Means for temperature control structurally associated with the cells
    • H01M10/656Means for temperature control structurally associated with the cells characterised by the type of heat-exchange fluid
    • H01M10/6567Liquids
    • H01M10/6568Liquids characterised by flow circuits, e.g. loops, located externally to the cells or cell casings

Landscapes

  • Engineering & Computer Science (AREA)
  • Manufacturing & Machinery (AREA)
  • Chemical & Material Sciences (AREA)
  • Chemical Kinetics & Catalysis (AREA)
  • Electrochemistry (AREA)
  • General Chemical & Material Sciences (AREA)
  • Automation & Control Theory (AREA)
  • Control Of Temperature (AREA)

Abstract

The invention discloses a fuzzy control method of refrigerating capacity of a liquid cooling unit, the liquid cooling unit and an energy storage system, and relates to the technical field of control methods of refrigerating equipment, comprising the steps of taking a temperature control error e of the liquid cooling unit as an input quantity and taking at least one controllable parameter of the liquid cooling unit as a control quantity to establish a fuzzy control system; and the fuzzy control system controls at least one controllable parameter in the liquid cooling unit according to the temperature control error e so as to reduce the temperature control error e. The invention mainly solves the problem that the traditional automatic control theory is difficult to bring good control effect to the liquid cooling unit; compared with the traditional temperature control system, the invention has the characteristics of short response time, small overshoot, high steady state precision, and good dynamic and static properties, and simultaneously has stronger adaptability to inertial hysteresis temperature links, thereby bringing better temperature control effect to the energy storage system.

Description

Fuzzy control method for refrigerating capacity of liquid cooling unit, liquid cooling unit and energy storage system
Technical Field
The invention relates to the technical field of refrigeration equipment control methods, in particular to a fuzzy control method for refrigerating capacity of a liquid cooling unit, the liquid cooling unit and an energy storage system.
Background
The energy storage system is a system for storing electric energy and releasing electric energy, and the core component of the energy storage system comprises a battery pack/battery pack (collectively referred to as batteries), wherein the batteries of the energy storage system can generate a large amount of heat in the charge and discharge processes, and if the heat cannot be timely discharged, the temperature of the energy storage system can be increased, so that potential safety hazards are brought, and the performance of the batteries and the normal operation of the energy storage system are further affected.
In order to reduce the temperature of the battery, it is often necessary to configure a heat dissipation system in the energy storage system to dissipate heat from the battery, wherein liquid cooling heat dissipation is the most widely used heat dissipation solution.
The liquid cooling unit is an actuator of a liquid cooling heat dissipation scheme, a temperature control system taking the liquid cooling unit as a core belongs to an automatic control system, in the prior art, a bidirectional silicon controlled rectifier power unit is generally adopted to control the refrigeration power of the liquid cooling unit, and the automatic control algorithm is combined, so that the temperature control system of the liquid cooling unit can realize automatic adjustment.
However, the temperature control system of the liquid cooling unit has the characteristics of large inertia and large hysteresis, and the energy storage system has unidirectionality when being heated, so that under the influence of the factors, an accurate mathematical model is difficult to build in the temperature control system of the liquid cooling unit, namely, a traditional automatic control theory is difficult to bring a good control effect to the liquid cooling unit.
Disclosure of Invention
The invention aims to provide a fuzzy control method for refrigerating capacity of a liquid cooling unit, the liquid cooling unit and an energy storage system, which can bring better temperature control effect.
In order to achieve the above purpose, the present invention provides the following technical solutions: a fuzzy control method of refrigerating capacity of a liquid cooling unit is applied to the liquid cooling unit; it comprises the following steps:
a fuzzy control system is established by taking the temperature control error e of the liquid cooling unit as an input quantity and taking at least one controllable parameter of the liquid cooling unit as a control quantity;
and the fuzzy control system controls at least one controllable parameter in the liquid cooling unit according to the temperature control error e so as to reduce the temperature control error e.
The liquid cooling unit is applied with the refrigerating capacity fuzzy control method of the liquid cooling unit;
the device comprises a refrigeration module, a liquid cooling module and a heat exchanger;
the refrigeration module comprises a compressor, a condenser with a fan and an electronic expansion valve;
the liquid cooling module comprises a water pump, a liquid cooling plate capable of performing heat exchange with the heating body and a heater for heating the liquid cooling medium;
the refrigerant channels of the compressor, the condenser, the electronic expansion valve and the heat exchanger are sequentially communicated, so that the refrigerant can circulate among the refrigerant channels of the compressor, the condenser, the electronic expansion valve and the heat exchanger;
the water pump, the liquid cooling plate and the liquid cooling medium channel of the heat exchanger are sequentially communicated, so that the liquid cooling medium can circulate between the water pump, the liquid cooling plate and the liquid cooling medium channel of the heat exchanger, and the heater is connected to one node of the liquid cooling module.
An energy storage system comprises the liquid cooling unit.
Compared with the prior art, the invention has the beneficial effects that: according to the refrigerating capacity fuzzy control method of the liquid cooling unit, the liquid cooling unit and the energy storage system, the fuzzy control system controls at least one controllable parameter in the liquid cooling unit according to the temperature control error e so as to reduce the temperature control error e; compared with the traditional temperature control system, the fuzzy control system has the characteristics of short response time, small overshoot, high steady-state precision, capability of quickly recovering steady state and good dynamic and static performance when encountering interference, and meanwhile, has stronger adaptability to an inertia hysteresis temperature link, thereby bringing better temperature control effect for the energy storage system.
Drawings
Fig. 1 is a schematic diagram of a system configuration of a liquid cooling unit according to the present invention.
Fig. 2 is a schematic flow chart of a method for controlling the refrigerating capacity of the liquid cooling unit in a fuzzy manner.
The reference numerals are: 1. a compressor; 2. a condenser; 3. a blower; 4. an electronic expansion valve; 5. a heat exchanger; 6. a heater; 7. a battery pack; 8. a water pump; 9. and a liquid cooling plate.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
The embodiment provides a liquid cooling unit, which can be applied to an energy storage system, a power generation system, a communication or a server machine room, and can radiate heat for heat sources such as a battery, a generator, electronic equipment and the like.
Referring to fig. 1, the liquid cooling unit of the present embodiment includes a cooling module, a liquid cooling module, and a heat exchanger 5.
The refrigeration module is based on refrigerant circulation and used for refrigeration; the liquid cooling module is based on a liquid cooling medium (such as purified water or formula cooling liquid) and is used for conducting heat of the heating body; the heat exchanger 5 is used for heat exchange between the refrigeration module and the liquid cooling module, and in most occasions, the heat exchanger 5 is a plate heat exchanger 5.
The refrigeration module comprises a compressor 1, a condenser 2 with a fan 3 and an electronic expansion valve 4, wherein refrigerant channels (used as evaporators of a refrigeration system) of the compressor 1, the condenser 2, the electronic expansion valve 4 and the heat exchanger 5 are sequentially communicated, so that refrigerant can circulate among the refrigerant channels of the compressor 1, the condenser 2, the electronic expansion valve 4 and the heat exchanger 5.
The liquid cooling module at least comprises a water pump 8 and a liquid cooling plate 9 which can exchange heat with the heating body, and liquid cooling medium channels of the water pump 8, the liquid cooling plate 9 and the heat exchanger 5 are sequentially communicated, so that the liquid cooling medium can circulate among the liquid cooling medium channels of the water pump 8, the liquid cooling plate 9 and the heat exchanger 5.
Further, the liquid cooling module further includes a heater 6 for heating the liquid cooling medium, and in this embodiment, the heater 6 is connected between the liquid cooling medium channel of the heat exchanger 5 and the liquid cooling plate 9.
When the water pump 8 operates, the liquid cooling medium is driven to circulate among the water pump 8, the liquid cooling plate 9 and the liquid cooling medium channel of the heat exchanger 5, and when the liquid cooling medium flows through the liquid cooling plate 9, the heat of the heating body (the battery pack 7 of the energy storage system in the embodiment) can be absorbed, and the heat is conducted to the heat exchanger 5; when the compressor 1 runs, the refrigerant is driven to circulate among refrigerant channels of the compressor 1, the condenser 2, the electronic expansion valve 4 and the heat exchanger 5, when condensation passes through the heat exchanger 5, the heat exchanger 5 serves as an evaporator of a refrigerating system, liquid cooling medium in the heat exchanger 5 can be rapidly cooled, the cooled liquid cooling medium is circularly communicated to the liquid cooling plate 9 again, and heat of a heating element is absorbed again, so that the effect of rapidly cooling the heating element is achieved; in the above process, the heater 6 is used for heating the liquid cooling medium at extremely low temperature, so as to avoid the damage of the liquid cooling module and the heat exchanger 5 caused by solidification of the liquid cooling medium.
The embodiment also provides a fuzzy control method for the refrigerating capacity of the liquid cooling unit, which is applied to the liquid cooling unit and is used for controlling the refrigerating capacity of the liquid cooling unit.
Referring to fig. 2, the method for controlling the refrigerating capacity of the liquid cooling unit in a fuzzy manner according to the present embodiment includes:
the temperature control error e of the liquid cooling unit is taken as an input quantity, and at least one controllable parameter of the liquid cooling unit is taken as a control quantity, so that a fuzzy control system is established;
and the fuzzy control system controls at least one controllable parameter in the liquid cooling unit according to the temperature control error e so as to reduce the temperature control error e.
In the liquid cooling unit according to the present embodiment, in the automatic control system, the power of the compressor 1 in the refrigeration module, the opening degree of the electronic expansion valve 4, and the rotation speed of the water pump 8 in the liquid cooling module, which are controlled by the liquid cooling medium temperature, can be adjusted as controllable parameters of the automatic control system, and the control target is to make the actual temperature T of the liquid cooling medium in the liquid cooling unit as close to the target temperature T as possible 0 Thereby reducing the temperature control error e as much as possible, and at this time, the liquid cooling medium is close to constant temperature, and has better heat dissipation effect on heat sources such as batteries, generators, electronic equipment and the like.
Specifically, the temperature control error e of the liquid cooling unit is specifically: e=Δt=t 0 ―T;
Wherein T is 0 The target temperature of the liquid cooling medium in the liquid cooling unit is T, and the actual temperature of the liquid cooling medium in the liquid cooling unit is T.
In the physical quantity theory, the target temperature T 0 The actual temperature T and the temperature control error e can be the temperature unit such as the temperature of degrees centigrade or the temperature of Fahrenheit, and the target temperature T is in the ambiguity domain 0 The actual temperature T and the temperature control error e are all represented as a set of fuzzy domains.
Specifically, the controllable parameter of the liquid cooling unit is the opening u of the electronic expansion valve 4.
The opening u of the electronic expansion valve 4 is increased, so that the flow of the refrigerant in the refrigeration module can be improved, the refrigeration effect of the heat exchanger 5 is improved, more heat in the liquid cooling medium is absorbed, and the actual temperature T of the liquid cooling medium is reduced; by reducing the opening u of the electronic expansion valve 4, the flow of the refrigerant in the refrigeration module can be reduced, so that the refrigeration effect of the heat exchanger 5 is reduced, less heat in the liquid cooling medium is absorbed, and the actual temperature T of the liquid cooling medium is increased.
In this embodiment, it is studied how to control the opening u of the electronic expansion valve 4 by using the temperature control error e of the liquid cooling unit as the input of the fuzzy control system, so as to make the actual temperature T of the liquid cooling medium in the liquid cooling unit as much as possibleNear target temperature T 0 Thereby minimizing the temperature control error e.
Specifically, the specific method for establishing the fuzzy control system comprises the following steps:
the input quantity of the fuzzy control system is determined as follows: the temperature control error e of the liquid cooling unit, and the control quantity of the fuzzy control system is determined as follows: the opening u of the electronic expansion valve 4;
converting the temperature control error e into a first fuzzy domain, dividing a first fuzzy subset for the temperature control error e, and defining the first fuzzy domain and a membership function of the first fuzzy subset;
rate of change E of temperature control error E c Converting into a second fuzzy theory domain as the change rate E of the temperature control error E c Dividing a second fuzzy subset, and defining a second fuzzy domain and a membership function of the second fuzzy subset;
converting the opening U of the electronic expansion valve 4 into a third fuzzy universe U, dividing a third fuzzy subset for the opening U of the electronic expansion valve 4, and defining a third fuzzy universe and a membership function of the third fuzzy subset;
establishing a temperature control error E and a change rate E of the temperature control error E c And a fuzzy control rule of the opening u of the electronic expansion valve 4;
obtaining a fuzzy relation R between the temperature control error e and the opening u of the electronic expansion valve 4 in a fuzzy theory domain;
obtaining the output of the control quantity of the fuzzy control system in a fuzzy domain;
and defuzzifying the output of the fuzzy control system to obtain the physical quantity output of the fuzzy control system.
Specifically, the temperature control error e includes:
the first ambiguity domain is (-3, -2, -1,0, +1, +2, +3), the first ambiguity subset being NB (negative big), NM (negative medium), NS (negative small), O (zero), PS (positive small), PM (median), and PB (positive big);
the membership functions of the first fuzzy discourse domain and the first fuzzy subset are:
when the temperature control error e= -3, the membership degree to NB, NM, NS, O, PS, PM and PB is 1, 0.5, 0.3, 0 respectively;
when the temperature control error e= -2, the membership degree to NB, NM, NS, O, PS, PM and PB is 0.5, 1, 0.5, 0.2, 0 respectively;
when the temperature control error e= -1, the membership degree to NB, NM, NS, O, PS, PM and PB is 0.3, 0.5, 1, 0.5, 0.2, 0 respectively;
when the temperature control error e=0, the membership degrees to NB, NM, NS, O, PS, PM and PB are 0.1, 0.2, 0.5, 1, 0.5, 0.2, 0.1, respectively;
when the temperature control error e=1, the membership degrees to NB, NM, NS, O, PS, PM and PB are 0, 2, 0.5, 1, 0.5, 0.3, respectively;
when the temperature control error e=2, the membership degrees to NB, NM, NS, O, PS, PM and PB are 0, 0.2, 0.5, 1, 0.5, respectively;
when the temperature control error e=3, the membership degrees to NB, NM, NS, O, PS, PM and PB are 0, 0.3, 0.5, 1, respectively;
rate of change E of temperature control error E c The method comprises the following steps:
the second ambiguity domain is (-3, -2, -1,0, +1, +2, +3), the second ambiguity subset being NB (negative big), NM (negative medium), NS (negative small), O (zero), PS (positive small), PM (median), and PB (positive big);
the membership functions of the second fuzzy discourse domain and the second fuzzy subset are:
rate of change E of temperature control error E c When= -3, membership to NB, NM, NS, O, PS, PM and PB is 1, 0.5, 0.3, 0, respectively;
rate of change E of temperature control error E c When= -2, membership to NB, NM, NS, O, PS, PM and PB is 0.5, 1, 0.5, 0.2, 0, respectively;
rate of change E of temperature control error E c When= -1, membership to NB, NM, NS, O, PS, PM and PB is 0.3, 0.5, 1, 0.5, 0.2, 0, respectively;
rate of change E of temperature control error E c When=0, for NB, NM,NS, O, PS, PM and PB have membership degrees of 0.1, 0.2, 0.5, 1, 0.5, 0.2, 0.1, respectively;
rate of change E of temperature control error E c When=1, membership to NB, NM, NS, O, PS, PM and PB is 0, 2, 0.5, 1, 0.5, 0.3, respectively;
rate of change E of temperature control error E c When=2, membership to NB, NM, NS, O, PS, PM and PB is 0, 0.2, 0.5, 1, 0.5, respectively;
rate of change E of temperature control error E c When=3, membership to NB, NM, NS, O, PS, PM and PB is 0, 0.3, 0.5, 1, respectively;
the opening u of the electronic expansion valve 4 includes:
the third ambiguity domain U is (-3, -2, -1,0, +1, +2, +3), and the third ambiguity subset is NB (negative big), NM (negative medium), NS (negative small), O (zero), PS (positive small), PM (median), and PB (positive big);
the membership functions of the third fuzzy discourse domain U and the third fuzzy subset are:
when the opening u= -3 of the electronic expansion valve 4, the membership degrees to NB, NM, NS, O, PS, PM and PB are 1, 0.5, 0.3, 0, respectively;
when the opening u= -2 of the electronic expansion valve 4, the membership degrees to NB, NM, NS, O, PS, PM and PB are 0.5, 1, 0.5, 0.2, 0, respectively;
when the opening u= -1 of the electronic expansion valve 4, the membership degrees to NB, NM, NS, O, PS, PM and PB are 0.3, 0.5, 1, 0.5, 0.2, 0, respectively;
when the opening degree u=0 of the electronic expansion valve 4, the membership degrees to NB, NM, NS, O, PS, PM and PB are 0.1, 0.2, 0.5, 1, 0.5, 0.2, 0.1, respectively;
when the opening u=1 of the electronic expansion valve 4, the membership degrees to NB, NM, NS, O, PS, PM and PB are 0, 2, 0.5, 1, 0.5, 0.3, respectively;
when the opening degree u=2 of the electronic expansion valve 4, the membership degrees to NB, NM, NS, O, PS, PM and PB are 0, 0.2, 0.5, 1, 0.5, respectively;
when the opening u=3 of the electronic expansion valve 4, the membership degrees to NB, NM, NS, O, PS, PM and PB are 0, 0.3, 0.5, and 1, respectively.
The membership functions of the first fuzzy discourse domain and the first fuzzy subset, the membership functions of the second fuzzy discourse domain and the second fuzzy subset, and the membership functions of the third fuzzy discourse domain and the third fuzzy subset may also be expressed as the following table:
TABLE 1 membership functions of first fuzzy theory domain and first fuzzy subset, second fuzzy theory domain and second fuzzy subset, third fuzzy theory domain and third fuzzy subset
For the temperature control error e, the actual physical quantity has a mapping relation with a first fuzzy theory (-3, -2, -1,0, +1, +2, +3), and the mapping relation is an engineering calibration relation; similarly, the actual physical quantity (%) and the third fuzzy theory U (-3, -2, -1,0, +1, +2, +3) also have a map relationship with respect to the opening U of the electronic expansion valve 4, and the map relationship is also an engineering calibration relationship.
Specifically, the temperature control error E, the rate of change E of the temperature control error E c And the fuzzy control rule of the opening u of the electronic expansion valve 4 is:
if e is NB and Ec is PB,then U is 0;
if e is NB and Ec is PM,then U is PS;
if e is NB and Ec is PS,then U is PM;
if e is NB and Ec is 0,then U is PB;
if e is NB and Ec is NS,then U is PB;
if e is NB and Ec is NM,then U is PB;
if e is NB and Ec is NB,then U is PB;
if e is NM and Ec is PB,then U is 0;
if e is NM and Ec is PM,then U is 0;
if e is NM and Ec is PS,then U is PS;
if e is NM and Ec is 0,then U is PM;
if e is NM and Ec is NS,then U is PM;
if e is NM and Ec is NM,then U is PB;
if e is NM and Ec is NB,then U is PB;
if e is NS and Ec is PB,then U is NS;
if e is NS and Ec is PM,then U is 0;
if e is NS and Ec is PS,then U is 0;
if e is NS and Ec is 0,then U is PS;
if e is NS and Ec is NS,then U is PM;
if e is NS and Ec is NM,then U is PM;
if e is NS and Ec is NB,then U is PB;
if e is 0 and Ec is PB,then U is NM;
if e is 0 and Ec is PM,then U is NS;
if e is 0 and Ec is PS,then U is NS;
if e is 0 and Ec is 0,then U is 0;
if e is 0 and Ec is NS,then U is PS;
if e is 0 and Ec is NM,then U is PS;
if e is 0 and Ec is NB,then U is PM;
if e is PS and Ec is PB,then U is NB;
if e is PS and Ec is PM,then U is NM;
if e is PS and Ec is PS,then U is NM;
if e is PS and Ec is 0,then U is NS;
if e is PS and Ec is NS,then U is 0;
if e is PS and Ec is NM,then U is 0;
if e is PS and Ec is NB,then U is PS;
if e is PM and Ec is PB,then U is NB;
if e is PM and Ec is PM,then U is NB;
if e is PM and Ec is PS,then U is NM;
if e is PM and Ec is 0,then U is NM;
if e is PM and Ec is NS,then U is NS;
if e is PM and Ec is NM,then U is 0;
if e is PM and Ec is NB,then U is 0;
if e is PB and Ec is PB,then U is NB;
if e is PB and Ec is PM,then U is NB;
if e is PB and Ec is PS,then U is NB;
if e is PB and Ec is 0,then U is NB;
if e is PB and Ec is NS,then U is NM;
if e is PB and Ec is NM,then U is NS;
if e is PB and Ec is NB,then U is 0。
the fuzzy control rule is actually the mathematical expression of engineering calibration experience or life experience in a fuzzy theory domain, and the fuzzy control rule expresses that "if e is negative and big, U is negative and big", "if e is negative and middle, U is negative and small", "if e is 0, U is 0", "if e is positive and small, U is positive and small", "if e is positive and big, U is positive and big".
The fuzzy control rules described above may also be expressed as the following table:
TABLE 2 temperature control error E, rate of change E of temperature control error E c Fuzzy control rule of opening u of electronic expansion valve 4
The fuzzy control rule is a set of a plurality of sentences, which can be expressed as a fuzzy subset on the u×e, namely a fuzzy relation R, and the fuzzy relation R between the temperature control error e and the opening U of the electronic expansion valve 4 in the fuzzy theory domain is specifically:
R=(NBe×NBu)∪(NMe×NMu)∪(NSe×NSu)∪(Z0e×Z0u)∪(PBe×PBu)∪(PMe×PMu)∪(PSe×PSu)。
specifically, the output of the control quantity of the fuzzy control system in the fuzzy universe is: u=e·r.
Finally, the control amount of the fuzzy control system is subjected to defuzzification (defuzzification) in the output u=e·r of the fuzzy argument, and the physical amount output of the fuzzy control system, that is, the actual physical amount (%) of the opening U of the electronic expansion valve 4 is obtained.
In a practical case, when the temperature control error e is negative, the actual temperature T of the liquid cooling medium in the liquid cooling unit is far greater than the target temperature T 0 In the ambiguity domain, the temperature control error e=nb, and the output of the fuzzy control system is a fuzzy vector, which can be expressed as:
the fuzzy vector is defuzzified according to the membership degree maximum principle, and the opening u=3 of the electronic expansion valve 4 is selected, namely the opening of the electronic expansion valve 4 is increased, the flow of the refrigerant in the refrigeration module is improved, the refrigeration effect of the heat exchanger 5 is improved, more heat in the liquid cooling medium is absorbed, and the actual temperature T of the liquid cooling medium is reduced.
The embodiment also provides an energy storage system, which comprises the liquid cooling unit.
According to the refrigerating capacity fuzzy control method of the liquid cooling unit, the liquid cooling unit and the energy storage system, the fuzzy control system controls at least one controllable parameter in the liquid cooling unit according to the temperature control error e so as to reduce the temperature control error e; compared with the traditional temperature control system, the fuzzy control system has the characteristics of short response time, small overshoot, high steady-state precision, capability of quickly recovering steady state and good dynamic and static performance when encountering interference, and meanwhile, has stronger adaptability to an inertia hysteresis temperature link, thereby bringing better temperature control effect for the energy storage system.
Although embodiments of the present invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made therein without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.

Claims (10)

1. A fuzzy control method of refrigerating capacity of a liquid cooling unit is applied to the liquid cooling unit; characterized by comprising the following steps:
a fuzzy control system is established by taking the temperature control error e of the liquid cooling unit as an input quantity and taking at least one controllable parameter of the liquid cooling unit as a control quantity;
and the fuzzy control system controls at least one controllable parameter in the liquid cooling unit according to the temperature control error e so as to reduce the temperature control error e.
2. The method for fuzzy control of refrigerating capacity of a liquid cooling unit according to claim 1, wherein the temperature control error e of the liquid cooling unit is specifically: e=Δt=t 0 ―T;
Wherein T is 0 And T is the actual temperature of the liquid cooling medium in the liquid cooling unit.
3. The method for fuzzy control of refrigerating capacity of a liquid cooling unit according to claim 2, wherein the controllable parameter of the liquid cooling unit is an opening degree u of an electronic expansion valve.
4. The method for fuzzy control of refrigerating capacity of a liquid cooling unit according to claim 3, wherein the specific method for establishing the fuzzy control system comprises the following steps:
the input quantity of the fuzzy control system is determined as follows: the temperature control error e of the liquid cooling unit is determined, and the control quantity of the fuzzy control system is as follows: the opening u of the electronic expansion valve;
converting the temperature control error e into a first fuzzy domain, dividing a first fuzzy subset for the temperature control error e, and defining membership functions of the first fuzzy domain and the first fuzzy subset;
rate of change E of the temperature control error E c Converting into a second fuzzy theory domain, namely the change rate E of the temperature control error E c Dividing a second fuzzy subset, and defining membership functions of the second fuzzy domain and the second fuzzy subset;
converting the opening U of the electronic expansion valve into a third fuzzy universe U, dividing a third fuzzy subset for the opening U of the electronic expansion valve, and defining membership functions of the third fuzzy universe and the third fuzzy subset;
establishing the temperature control error E and the change rate E of the temperature control error E c A fuzzy control rule of the opening u of the electronic expansion valve;
obtaining a fuzzy relation R between the temperature control error e and the opening u of the electronic expansion valve in a fuzzy theory domain;
obtaining the output of the control quantity of the fuzzy control system in a fuzzy domain;
and defuzzifying the output of the fuzzy control system to obtain the physical quantity output of the fuzzy control system.
5. The method for fuzzy control of refrigerating capacity of liquid cooling unit according to claim 4, wherein said temperature control error e comprises:
the first ambiguity domain is (-3, -2, -1,0, +1, +2, +3), and the first ambiguity subset is NB (negative big), NM (negative medium), NS (negative small), O (zero), PS (positive small), PM (median), and PB (positive big);
the membership functions of the first fuzzy discourse domain and the first fuzzy subset are:
when the temperature control error e= -3, membership degrees of NB, NM, NS, O, PS, PM and PB are 1, 0.5, 0.3, 0 and 0 respectively;
when the temperature control error e= -2, membership degrees to NB, NM, NS, O, PS, PM and PB are 0.5, 1, 0.5, 0.2, 0 respectively;
when the temperature control error e= -1, membership degrees to NB, NM, NS, O, PS, PM and PB are 0.3, 0.5, 1, 0.5, 0.2, 0 respectively;
when the temperature control error e=0, the membership degrees of NB, NM, NS, O, PS, PM and PB are 0.1, 0.2, 0.5, 1, 0.5, 0.2 and 0.1 respectively;
when the temperature control error e=1, the membership degrees of NB, NM, NS, O, PS, PM and PB are 0, 2, 0.5, 1, 0.5 and 0.3 respectively;
when the temperature control error e=2, membership degrees of NB, NM, NS, O, PS, PM and PB are 0, 0.2, 0.5, 1 and 0.5 respectively;
when the temperature control error e=3, membership degrees of NB, NM, NS, O, PS, PM and PB are 0, 0.3, 0.5 and 1 respectively;
rate of change E of the temperature control error E c The method comprises the following steps:
the second ambiguity domain is (-3, -2, -1,0, +1, +2, +3), the second ambiguity subset being NB (negative big), NM (negative medium), NS (negative small), O (zero), PS (positive small), PM (median) and PB (positive big);
the membership functions of the second fuzzy discourse domain and the second fuzzy subset are:
rate of change E of the temperature control error E c When= -3, membership to NB, NM, NS, O, PS, PM and PB is 1, 0.5, 0.3, 0, respectively;
rate of change E of the temperature control error E c When= -2, membership to NB, NM, NS, O, PS, PM and PB is 0.5, 1, 0.5, 0.2, 0, respectively;
rate of change E of the temperature control error E c When= -1, membership to NB, NM, NS, O, PS, PM and PB is 0.3, 0.5, 1, 0.5, 0.2, 0, respectively;
rate of change E of the temperature control error E c When=0, membership to NB, NM, NS, O, PS, PM and PB is 0.1, 0.2, 0.5, 1, 0.5, 0.2, 0.1, respectively;
the temperature is controlledRate of change E of the error E c When=1, membership to NB, NM, NS, O, PS, PM and PB is 0, 2, 0.5, 1, 0.5, 0.3, respectively;
rate of change E of the temperature control error E c When=2, membership to NB, NM, NS, O, PS, PM and PB is 0, 0.2, 0.5, 1, 0.5, respectively;
rate of change E of the temperature control error E c When=3, membership to NB, NM, NS, O, PS, PM and PB is 0, 0.3, 0.5, 1, respectively;
the opening u of the electronic expansion valve includes:
the third ambiguity domain U is (-3, -2, -1,0, +1, +2, +3), and the third ambiguity subset is NB (negative big), NM (negative medium), NS (negative small), O (zero), PS (positive small), PM (median), and PB (positive big);
the membership functions of the third fuzzy discourse domain U and the third fuzzy subset are:
when the opening degree u= -3 of the electronic expansion valve, the membership degree to NB, NM, NS, O, PS, PM and PB is 1, 0.5, 0.3, 0 respectively;
when the opening degree u= -2 of the electronic expansion valve, the membership degree to NB, NM, NS, O, PS, PM and PB is 0.5, 1, 0.5, 0.2, 0 respectively;
when the opening degree u= -1 of the electronic expansion valve, the membership degree to NB, NM, NS, O, PS, PM and PB is 0.3, 0.5, 1, 0.5, 0.2, 0 respectively;
when the opening degree u=0 of the electronic expansion valve, the membership degrees to NB, NM, NS, O, PS, PM and PB are 0.1, 0.2, 0.5, 1, 0.5, 0.2 and 0.1 respectively;
when the opening degree u=1 of the electronic expansion valve, the membership degrees of NB, NM, NS, O, PS, PM and PB are 0, 2, 0.5, 1, 0.5 and 0.3 respectively;
when the opening degree u=2 of the electronic expansion valve, the membership degrees of NB, NM, NS, O, PS, PM and PB are 0, 0.2, 0.5, 1 and 0.5 respectively;
when the opening u=3 of the electronic expansion valve, the membership degrees to NB, NM, NS, O, PS, PM and PB are 0, 0.3, 0.5, and 1, respectively.
6. The method according to claim 5, wherein the temperature control error E and a rate of change E of the temperature control error E are set to be equal to each other c The fuzzy control rule of the opening u of the electronic expansion valve is as follows:
if e is NB and Ec is PB,then U is 0;
if e is NB and Ec is PM,then U is PS;
if e is NB and Ec is PS,then U is PM;
if e is NB and Ec is 0,then U is PB;
if e is NB and Ec is NS,then U is PB;
if e is NB and Ec is NM,then U is PB;
if e is NB and Ec is NB,then U is PB;
if e is NM and Ec is PB,then U is 0;
if e is NM and Ec is PM,then U is 0;
if e is NM and Ec is PS,then U is PS;
if e is NM and Ec is 0,then U is PM;
if e is NM and Ec is NS,then U is PM;
if e is NM and Ec is NM,then U is PB;
if e is NM and Ec is NB,then U is PB;
if e is NS and Ec is PB,then U is NS;
if e is NS and Ec is PM,then U is 0;
if e is NS and Ec is PS,then U is 0;
if e is NS and Ec is 0,then U is PS;
if e is NS and Ec is NS,then U is PM;
if e is NS and Ec is NM,then U is PM;
if e is NS and Ec is NB,then U is PB;
if e is 0 and Ec is PB,then U is NM;
if e is 0 and Ec is PM,then U is NS;
if e is 0 and Ec is PS,then U is NS;
if e is 0 and Ec is 0,then U is 0;
if e is 0 and Ec is NS,then U is PS;
if e is 0 and Ec is NM,then U is PS;
if e is 0 and Ec is NB,then U is PM;
if e is PS and Ec is PB,then U is NB;
if e is PS and Ec is PM,then U is NM;
if e is PS and Ec is PS,then U is NM;
if e is PS and Ec is 0,then U is NS;
if e is PS and Ec is NS,then U is 0;
if e is PS and Ec is NM,then U is 0;
if e is PS and Ec is NB,then U is PS;
if e is PM and Ec is PB,then U is NB;
if e is PM and Ec is PM,then U is NB;
if e is PM and Ec is PS,then U is NM;
if e is PM and Ec is 0,then U is NM;
if e is PM and Ec is NS,then U is NS;
if e is PM and Ec is NM,then U is 0;
if e is PM and Ec is NB,then U is 0;
if e is PB and Ec is PB,then U is NB;
if e is PB and Ec is PM,then U is NB;
if e is PB and Ec is PS,then U is NB;
if e is PB and Ec is 0,then U is NB;
if e is PB and Ec is NS,then U is NM;
if e is PB and Ec is NM,then U is NS;
if e is PB and Ec is NB,then U is 0。
7. the method for fuzzy control of refrigerating capacity of a liquid cooling unit according to claim 5 or 6, wherein the fuzzy relation R between the temperature control error e and the opening u of the electronic expansion valve in the fuzzy theory domain is specifically:
R=(NBe×NBu)∪(NMe×NMu)∪(NSe×NSu)∪(Z0e×Z0u)∪(PBe×PBu)∪(PMe×PMu)∪(PSe×PSu)。
8. the method for fuzzy control of refrigerating capacity of liquid cooling unit according to claim 7, wherein the output of the control quantity of the fuzzy control system in the fuzzy theory is: u=e·r.
9. A liquid cooling unit, characterized in that the method for fuzzy control of refrigerating capacity of the liquid cooling unit according to any one of claims 1 to 6 is applied;
the device comprises a refrigeration module, a liquid cooling module and a heat exchanger;
the refrigeration module comprises a compressor, a condenser with a fan and an electronic expansion valve;
the liquid cooling module comprises a water pump, a liquid cooling plate capable of performing heat exchange with the heating body and a heater for heating the liquid cooling medium;
the refrigerant channels of the compressor, the condenser, the electronic expansion valve and the heat exchanger are sequentially communicated, so that the refrigerant can circulate among the refrigerant channels of the compressor, the condenser, the electronic expansion valve and the heat exchanger;
the water pump, the liquid cooling plate and the liquid cooling medium channel of the heat exchanger are sequentially communicated, so that the liquid cooling medium can circulate between the water pump, the liquid cooling plate and the liquid cooling medium channel of the heat exchanger, and the heater is connected to one node of the liquid cooling module.
10. An energy storage system comprising the fluid cooling unit of claim 9.
CN202311286130.1A 2023-10-07 2023-10-07 Fuzzy control method for refrigerating capacity of liquid cooling unit, liquid cooling unit and energy storage system Pending CN117458049A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202311286130.1A CN117458049A (en) 2023-10-07 2023-10-07 Fuzzy control method for refrigerating capacity of liquid cooling unit, liquid cooling unit and energy storage system

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202311286130.1A CN117458049A (en) 2023-10-07 2023-10-07 Fuzzy control method for refrigerating capacity of liquid cooling unit, liquid cooling unit and energy storage system

Publications (1)

Publication Number Publication Date
CN117458049A true CN117458049A (en) 2024-01-26

Family

ID=89584486

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202311286130.1A Pending CN117458049A (en) 2023-10-07 2023-10-07 Fuzzy control method for refrigerating capacity of liquid cooling unit, liquid cooling unit and energy storage system

Country Status (1)

Country Link
CN (1) CN117458049A (en)

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2008147828A1 (en) * 2007-05-25 2008-12-04 Carrier Corporation Modified fuzzy control for chiller electronic expansion valve
CN109774409A (en) * 2018-12-26 2019-05-21 爱驰汽车有限公司 Automotive thermal tube manages system
CN110077285A (en) * 2019-04-28 2019-08-02 上海理工大学 Electric car secondary circuit heat management system
CN110233309A (en) * 2019-06-20 2019-09-13 苏州高迈新能源有限公司 Battery pack liquid cooling temperature equalization system
CN113506899A (en) * 2021-07-06 2021-10-15 清华大学 Control device and control method for thermostat of liquid cooling system of fuel cell
CN115638522A (en) * 2022-10-12 2023-01-24 南京磁谷科技股份有限公司 Water chiller throttling valve control method and system based on fuzzy control algorithm

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2008147828A1 (en) * 2007-05-25 2008-12-04 Carrier Corporation Modified fuzzy control for chiller electronic expansion valve
CN109774409A (en) * 2018-12-26 2019-05-21 爱驰汽车有限公司 Automotive thermal tube manages system
CN110077285A (en) * 2019-04-28 2019-08-02 上海理工大学 Electric car secondary circuit heat management system
CN110233309A (en) * 2019-06-20 2019-09-13 苏州高迈新能源有限公司 Battery pack liquid cooling temperature equalization system
CN113506899A (en) * 2021-07-06 2021-10-15 清华大学 Control device and control method for thermostat of liquid cooling system of fuel cell
CN115638522A (en) * 2022-10-12 2023-01-24 南京磁谷科技股份有限公司 Water chiller throttling valve control method and system based on fuzzy control algorithm

Similar Documents

Publication Publication Date Title
WO2021184490A1 (en) Multi-environment comprehensive thermal management method for fuel cell vehicle
CA2406331C (en) Thermal management system
Yang et al. Modeling and simulation of vehicle integrated thermal management system for a fuel cell hybrid vehicle
CN109980312B (en) Temperature equalization control system of vehicle-mounted liquid cooling battery box
WO2021143125A1 (en) Thermal management system and electric vehicle
CN112339614A (en) Collaborative management method suitable for fuel cell automobile thermal system
CN116014284B (en) Electric automobile battery composite cooling system and control method thereof
CN116706340A (en) Energy storage system heat management method and system, electronic equipment and storage medium
Gao et al. Study on battery direct-cooling coupled with air conditioner novel system and control method
CN114347867B (en) Fuel cell automobile thermal management system and control method
Fei et al. PTC power control of electric vehicle thermal management system based on neural network feedforward
CN117458049A (en) Fuzzy control method for refrigerating capacity of liquid cooling unit, liquid cooling unit and energy storage system
WO2024193246A1 (en) Thermal management system, thermal management method, and vehicle
EP1547182B1 (en) Thermal management system
CN118066021A (en) Aircraft fuel thermal management system, control method and aircraft
CN112993436B (en) Vehicle battery cooling system and vehicle
CN112721737B (en) Comprehensive heat energy utilization and heat management system of pure electric vehicle and control method thereof
Huang et al. Unmanned autonomous ground hybrid vehicle thermal management system: design and control
CN113224348A (en) Fuel cell water temperature control system and control method thereof
CN114645782B (en) Air inlet temperature adjusting system and method for vehicle-mounted gas turbine generator set
CN117458048B (en) Refrigerating capacity control method of liquid cooling unit, liquid cooling unit and energy storage system
CN221805667U (en) Temperature control device of energy storage unit and electrochemical energy storage system
CN220254941U (en) Refrigerating system and liquid cooling equipment
US20240375547A1 (en) Integrated thermal management system and vehicle
CN115214425B (en) Electric automobile battery pack cooling system and cooling control method

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination