CN113232553A - Method, device and equipment for heating battery pack of electric automobile and storable medium - Google Patents

Method, device and equipment for heating battery pack of electric automobile and storable medium Download PDF

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Publication number
CN113232553A
CN113232553A CN202110566386.2A CN202110566386A CN113232553A CN 113232553 A CN113232553 A CN 113232553A CN 202110566386 A CN202110566386 A CN 202110566386A CN 113232553 A CN113232553 A CN 113232553A
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battery pack
energy consumption
heating
electric vehicle
soc
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CN202110566386.2A
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CN113232553B (en
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王尧峰
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Neusoft Reach Automotive Technology Shenyang Co Ltd
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Neusoft Reach Automotive Technology Shenyang Co Ltd
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    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60LPROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
    • B60L58/00Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles
    • B60L58/10Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries
    • B60L58/12Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries responding to state of charge [SoC]
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60LPROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
    • B60L58/00Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles
    • B60L58/10Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries
    • B60L58/24Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries for controlling the temperature of batteries
    • B60L58/27Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries for controlling the temperature of batteries by heating
    • YGENERAL 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02TCLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
    • Y02T10/00Road transport of goods or passengers
    • Y02T10/60Other road transportation technologies with climate change mitigation effect
    • Y02T10/70Energy storage systems for electromobility, e.g. batteries

Abstract

The application discloses a method for heating an electric vehicle battery pack, which comprises the steps of firstly obtaining a first estimated driving mileage and a first estimated driving time of an electric vehicle, obtaining the current battery pack temperature and the current state of charge (SOC) of the electric vehicle, then inputting the first estimated driving mileage, the first estimated driving time, the current battery pack temperature and the current state of charge (SOC) into a predetermined battery pack heating model, obtaining energy consumption of the battery pack when the battery pack of the electric vehicle is heated by different heating powers, using the energy consumption as a first energy consumption set, and determining the first energy consumption set to determine the optimal energy consumption in the first energy consumption set so as to heat the battery pack by the heating power corresponding to the optimal energy consumption.

Description

Method, device and equipment for heating battery pack of electric automobile and storable medium
Technical Field
The present application relates to the field of electric vehicles, and more particularly, to a method, an apparatus, a device and a storage medium for heating a battery pack of an electric vehicle.
Background
The battery pack is a main energy storage component of the electric automobile, and generally consists of a lithium battery, so that the performance of the electric automobile is directly influenced. Considering that the electrolyte of the lithium ion battery is an organic solute and has poor conductivity at low temperature, the electric quantity of the battery pack may not be completely released, and the power supply of the battery pack may be limited. In this regard, it is currently common to heat itself with the battery pack to ensure that the battery pack is able to function properly. However, when the automobile has a short trip, the energy of the battery pack may be wasted when the battery pack is heated, for example, the automobile completes the trip soon after the battery pack is heated to the preset temperature, so that the energy consumption of the automobile is increased by hundreds of kilometers, and the user experience is not good.
Therefore, a solution to solve the above problems is urgently needed.
Disclosure of Invention
The technical problem to be solved by the application is to provide a method for heating a battery pack of an electric vehicle, so that the problems that when the battery pack is used for heating the battery pack at present, the battery pack energy is wasted due to the fact that residual travel and predicted running time are not considered, the energy consumption of the vehicle is increased by hundreds of kilometers, and the user experience is not good are solved.
In a first aspect, an embodiment of the present application provides a method for heating a battery pack of an electric vehicle, where the method includes:
acquiring a first estimated driving mileage and a first estimated driving time of the electric automobile, and acquiring the current battery pack temperature and the current state of charge (SOC) of the electric automobile;
inputting the first estimated driving mileage, the first estimated driving time, the current battery pack temperature and the current state of charge (SOC) into a predetermined battery pack heating model to obtain energy consumption of the battery pack of the electric vehicle when the battery pack of the electric vehicle is heated at different heating powers, wherein the energy consumption is used as a first energy consumption set, and the battery pack heating model is used for determining the energy consumption of the battery pack when the battery pack of the electric vehicle is heated at different heating powers;
determining an optimal energy consumption of the first set of energy consumptions that satisfies a battery power demand and that heats the battery with a minimum energy consumption;
and controlling the battery pack to heat at the heating power corresponding to the optimal energy consumption in the first energy consumption set.
Optionally, the battery pack heating model is determined according to the estimated driving mileage, the estimated driving time, the battery pack temperature, the state of charge SOC, the heating power, and the corresponding battery pack energy consumption of M groups of the electric vehicle, where M is a positive integer.
Optionally, the obtaining the first predicted driving mileage and the first predicted driving time of the electric vehicle includes:
and acquiring a planned driving mileage from a journey estimation module of the electric automobile as the first expected driving mileage, and acquiring a planned driving time corresponding to the planned driving mileage from the journey estimation module as the first expected driving time.
Optionally, the method further includes:
acquiring a second predicted driving mileage and a second predicted driving time of the electric vehicle according to a preset time interval, and acquiring an updated battery pack temperature and an updated state of charge (SOC);
inputting the second estimated driving mileage, the second estimated driving time, the updated temperature of the battery pack and the updated state of charge (SOC) into the battery pack heating model to obtain energy consumption of the battery pack as a second energy consumption set when the battery pack of the electric vehicle is heated by different heating powers;
determining an optimal energy consumption of the second set of energy consumptions that satisfies a battery power demand and that heats the battery with a minimum energy consumption;
and controlling the battery pack to heat at the heating power corresponding to the optimal energy consumption in the second energy consumption set.
Optionally, the obtaining of the predicted driving mileage of the electric vehicle includes:
and counting the habitual driving mileage from the data uploaded by the electric automobile in the past times to obtain the habitual driving mileage as the planned driving mileage.
In a second aspect, an embodiment of the present application provides an apparatus for heating a battery pack of an electric vehicle, the apparatus including:
an acquisition module to: acquiring a first estimated driving mileage and a first estimated driving time of the electric automobile, and acquiring the current battery pack temperature and the current state of charge (SOC) of the electric automobile;
a first determination module to: inputting the first estimated driving mileage, the first estimated driving time, the current battery pack temperature and the current state of charge (SOC) into a predetermined battery pack heating model to obtain energy consumption of the battery pack of the electric vehicle when the battery pack of the electric vehicle is heated at different heating powers, wherein the energy consumption is used as a first energy consumption set, and the battery pack heating model is used for determining the energy consumption of the battery pack when the battery pack of the electric vehicle is heated at different heating powers;
a second determination module to: determining an optimal energy consumption of the first set of energy consumptions that satisfies a battery power demand and that heats the battery with a minimum energy consumption;
a first control module to: and controlling the battery pack to heat at the heating power corresponding to the optimal energy consumption in the first energy consumption set.
Optionally, the battery pack heating model is determined according to the estimated driving mileage, the estimated driving time, the battery pack temperature, the state of charge SOC, the heating power, and the corresponding battery pack energy consumption of M groups of the electric vehicle, where M is a positive integer.
Optionally, the apparatus further comprises:
an update module to: acquiring a second predicted driving mileage and a second predicted driving time of the electric vehicle according to a preset time interval, and acquiring an updated battery pack temperature and an updated state of charge (SOC);
a third determination module to: inputting the second estimated driving mileage, the second estimated driving time, the updated temperature of the battery pack and the updated state of charge (SOC) into the battery pack heating model to obtain energy consumption of the battery pack as a second energy consumption set when the battery pack of the electric vehicle is heated by different heating powers;
a fourth determination module to: determining an optimal energy consumption of the second set of energy consumptions that satisfies a battery power demand and that heats the battery with a minimum energy consumption;
a second control module to: controlling the battery pack to heat at a heating power corresponding to the optimal energy consumption in the second energy consumption set.
In a third aspect, an embodiment of the present application provides an apparatus for heating a battery pack of an electric vehicle, including: a memory, a processor, and a computer program stored on the memory and executable on the processor, when executing the computer program, implementing the method of heating an electric vehicle battery pack according to any one of claims 1-5.
In a fourth aspect, the present application provides a computer-readable storage medium, in which a computer program is stored, the computer program being used to execute the method for heating an electric vehicle battery pack according to any one of claims 1 to 5.
Compared with the prior art, the embodiment of the application has the following advantages:
the embodiment of the application provides a method for heating an electric vehicle battery pack, firstly acquiring a first estimated driving distance and a first estimated driving time of an electric vehicle, acquiring a current battery pack temperature and a current state of charge SOC of the electric vehicle, then inputting the first estimated driving distance, the first estimated driving time, the current battery pack temperature and the current state of charge SOC into a predetermined battery pack heating model, and inputting the first estimated driving distance, the first estimated driving time, the current battery pack temperature and the current state of charge SOC into the battery pack heating model as the battery pack heating model is determined according to M groups (M is a positive integer) of estimated driving distance, estimated driving time, battery pack temperature, state of charge SOC, heating power and corresponding battery pack energy consumption of the electric vehicle, energy consumption of the battery pack of the electric vehicle when the battery pack is heated by different heating powers can be obtained and used as a first energy consumption set, and in order to reduce energy consumption of the battery pack and reduce energy consumption of the electric vehicle for hundreds of kilometers, after the first energy consumption set is determined, optimal energy consumption in the first energy consumption set can be determined, and the battery pack is heated by heating power corresponding to the optimal energy consumption. Therefore, the embodiment of the application can minimize the energy consumed by heating the battery pack after the battery pack is heated by the heating power corresponding to the optimal energy consumption under the conditions of the predicted driving mileage and the predicted driving time. By adopting the method, the energy waste of the battery pack can be effectively avoided, and the hundred kilometers of energy consumption of the electric automobile is reduced.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments described in the present application, and other drawings can be obtained by those skilled in the art without creative efforts.
FIG. 1 is a schematic flow chart of a method for heating a battery pack of an electric vehicle according to an embodiment of the present application;
fig. 2 is a schematic structural diagram of an apparatus for heating a battery pack of an electric vehicle according to an embodiment of the present application.
Detailed Description
In order to make the technical solutions of the present application better understood, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
The inventor of this application discovers through research that at present, when utilizing the group battery to heat the group battery, can cause the waste of group battery energy, for example with the group battery heat to predetermine the temperature soon after, the car has just accomplished this trip for the hundred kilometers energy consumptions of car increase, user experience is not good.
In order to solve the above problem, in the embodiment of the present application, first predicted driving distance and first predicted driving time of the electric vehicle are obtained, and current battery pack temperature and current state of charge SOC of the electric vehicle are obtained, and then the first predicted driving distance, the first predicted driving time, the current battery pack temperature and the current state of charge SOC are input into a predetermined battery pack heating model, since the battery pack heating model is determined according to M sets (M is a positive integer) of predicted driving distance, predicted driving time, battery pack temperature, state of charge SOC, heating power and corresponding battery pack energy consumption of the electric vehicle, the first predicted driving distance, the first predicted driving time, the current battery pack temperature and the current state of charge SOC are input into the battery pack heating model, energy consumption of the battery pack of the electric vehicle when the battery pack is heated by different heating powers can be obtained and used as a first energy consumption set, and in order to reduce energy consumption of the battery pack and reduce energy consumption of the electric vehicle for hundreds of kilometers, after the first energy consumption set is determined, optimal energy consumption in the first energy consumption set can be determined, and the battery pack is heated by heating power corresponding to the optimal energy consumption. Therefore, the embodiment of the application can minimize the energy consumed by heating the battery pack after the battery pack is heated by the heating power corresponding to the optimal energy consumption under the conditions of the predicted driving mileage and the predicted driving time. By adopting the method, the energy waste of the battery pack can be effectively avoided, and the hundred kilometers of energy consumption of the electric automobile is reduced.
Various non-limiting embodiments of the present application are described in detail below with reference to the accompanying drawings.
Exemplary method
Referring to fig. 1, a schematic flow chart of a method for heating a battery pack of an electric vehicle in an embodiment of the present application is shown. The method shown in fig. 1, in one implementation, may be performed by, for example, an electric vehicle battery pack control device.
In this embodiment, the method shown in FIG. 1 may be performed, for example, by the following steps S101-S104.
S101: acquiring a first estimated driving mileage and a first estimated driving time of the electric automobile, and acquiring the current battery pack temperature and the current state of charge (SOC) of the electric automobile;
considering that when the automobile has a short travel, the battery pack may be heated to waste energy, for example, after the battery pack is heated to a preset temperature, the automobile completes the travel, so that the energy consumption of the automobile is increased by hundreds of kilometers, and the user experience is not good. Therefore, in the present embodiment, the first predicted driving distance and the first predicted driving time of the electric vehicle may be acquired first. In one example, the first predicted driving distance may be a planned driving distance acquired by the battery pack control apparatus from a driving distance estimation module of the electric vehicle, and at this time, the first predicted driving time may be a planned driving time corresponding to the planned driving distance in the driving distance estimation module. In another example, the first predicted driving mileage may be a customary driving mileage counted by the battery pack control apparatus from the data uploaded by the electric vehicle in the past, for example, if the data uploaded in the past shows that a certain electric vehicle frequently drives 10 km within 15 minutes around 7 o 'clock late in a working day, the first predicted driving mileage may be 10 km at 7 o' clock late in the working day, and the first predicted driving time may be 15 minutes.
It should be noted that the battery pack control device may not obtain the first predicted driving distance and the first predicted driving time, or the first predicted driving distance and the first predicted driving time obtained by the battery pack may not be accurate, and at this time, the battery pack control device directly heats the battery pack and does not perform the following steps.
In addition to the first predicted driving distance and the first predicted driving time, in the present embodiment, the battery pack control device obtains a current battery pack temperature and a current State Of Charge (SOC) Of the electric vehicle. The current battery pack temperature may be a temperature of the battery pack before heating, and obtaining the current battery pack temperature may determine a difference between the current battery pack temperature and a temperature at which the battery pack can normally operate. The SOC may be the ratio of the remaining capacity of the battery pack after a period of use or long standing without use to its fully charged state, expressed in percent. The value range is 0-1, and when the SOC is 0, the battery pack is completely discharged; when the SOC is 1, the battery pack is fully charged.
S102: inputting the first estimated driving mileage, the first estimated driving time, the current battery pack temperature and the current state of charge (SOC) into a predetermined battery pack heating model to obtain energy consumption of the battery pack of the electric vehicle when the battery pack of the electric vehicle is heated at different heating powers, wherein the energy consumption is used as a first energy consumption set, and the battery pack heating model is used for determining the energy consumption of the battery pack when the battery pack of the electric vehicle is heated at different heating powers;
in the embodiment of the application, the battery pack heating model is determined according to M groups of estimated driving mileage, estimated driving time, battery pack temperature, SOC, heating power and corresponding battery pack energy consumption of the electric automobile, wherein M is a positive integer. The following describes a process of constructing the battery heating model.
Setting T(t)Is the temperature of the battery at time T, TEIs the ambient temperature, T(0)=TEThen, then
Figure BDA0003080882770000071
Where Δ t is a predetermined time interval, η is heating efficiency, PheatFor heating power, set PheatThe function of the relation with the temperature T is f (omega, T), and omega is a undetermined parameter.
Counted number Q of battery pack charges consumed by heatingheatOpen circuit voltage V of battery and heating power PheatThe relationship between is
Figure BDA0003080882770000072
Therein, SOC(t)For the charged quantity of the battery pack at the time t, the SOC is obtained through statistics(t)Can be expressed as
Figure BDA0003080882770000073
Wherein, PotherThe power consumption is irrelevant to heating the battery pack in the running process of the electric automobile, and Cap is the total capacity of the battery pack.
In determining
Figure BDA0003080882770000075
Then, the energy consumption caused by heating the battery pack can be obtained as
Figure BDA0003080882770000074
It can be seen from this that loss occurs when the predicted mileage and the predicted time of travel changeQChanges will follow.
It can be understood that if the maximum output power of the battery pack is PmaxAnd the maximum required power under the current driving mode obtained by statistics is PtherWhen P is presentmax>PtherTime of day, battery power limit St(t)The output power requirement can be met, and the value is 1; otherwise, St(t)The output power requirement cannot be met, and the value is 0. PmaxFrom the temperature T of the battery pack(t)And the charge amount SOC of the battery pack(t)And (6) determining.
Next, the extent to which the power demand is not satisfied during the trip is constructed
lossp=1-mean(St)
Wherein mean (St) is St(t)As a function of the mean value of.
Therefore, it can be seen that the battery pack heating model can determine the energy consumption caused by heating the battery pack according to different heating powers under the conditions of the estimated driving mileage, the estimated driving time, the battery pack temperature and the SOC. Therefore, inputting the first predicted driving distance, the first predicted driving time, the current battery pack temperature, and the current state of charge SOC into the battery pack heating model, the energy consumption of the battery pack when the battery pack of the electric vehicle is heated at different heating powers can be obtained as a first energy consumption set.
S103: determining an optimal energy consumption of the first set of energy consumptions that satisfies a battery power demand and that heats the battery with a minimum energy consumption;
s104: and controlling the battery pack to heat at the heating power corresponding to the optimal energy consumption in the first energy consumption set.
In this embodiment, in order to reduce energy consumption of a battery pack and reduce energy consumption of an electric vehicle in hundreds of kilometers, after the first energy consumption set is determined, an optimal energy consumption in the first energy consumption set may be determined, where the optimal energy consumption is a value at which energy consumption for heating the battery pack is the minimum on the premise that the power requirement of the battery pack is met: obtaining a plurality of lossQAnd losspThereafter, [ alpha ] loss can be determinedQ+(1-α)lossp]Wherein α is the weight of the set energy consumption and power demand, and α has a value in the range of 0-1, [ α loss ]Q+(1-α)lossp]The energy consumption for heating the battery pack is optimal when the value is minimal.
To determine the heating power for said optimal energy consumption, [ alpha loss ] may first be determinedQ+(1-α)lossp]The heating power P is determined from ω and f (ω, T) when ω is the smallest valueheatWith said PheatThe battery pack is heated, so that the energy consumption for heating the battery pack is minimum on the premise of meeting the power requirement as much as possible. It can be seen that the embodiments of the present application areAfter the battery pack is heated by the heating power determined under the two conditions of the estimated driving mileage and the estimated driving time and the heating power corresponding to the optimal energy consumption, the energy consumed for heating the battery pack can be minimized on the premise of meeting the power requirement as much as possible. By adopting the method, the energy waste of the battery pack can be effectively avoided, and the hundred kilometers of energy consumption of the electric automobile is reduced.
In order to obtain an accurate predicted driving distance and predicted driving time in consideration of a possibility of a change in the driving speed of the electric vehicle, in one example, a second predicted driving distance and a second predicted driving time of the electric vehicle may be obtained at preset time intervals, an updated temperature of the battery pack and an updated state of charge SOC may be obtained, and then the second predicted driving distance, the second predicted driving time, the updated temperature of the battery pack and the updated state of charge SOC are input into the battery pack heating model, a heating power corresponding to an optimal energy consumption is determined, and the battery pack is controlled to be heated at a heating power corresponding to an optimal energy consumption in the second energy consumption set.
Exemplary device
Based on the method provided by the above embodiment, the embodiment of the present application further provides an apparatus, which is described below with reference to the accompanying drawings.
Referring to fig. 2, a schematic structural diagram of an apparatus for heating a battery pack of an electric vehicle according to an embodiment of the present application is shown. The apparatus 200 may specifically include, for example:
the acquisition module 201: the method comprises the steps of obtaining a first estimated driving mileage and a first estimated driving time of the electric automobile, and obtaining the current battery pack temperature and the current state of charge (SOC) of the electric automobile;
the first determination module 202: the battery pack heating model is used for inputting the first estimated driving mileage, the first estimated driving time, the current battery pack temperature and the current state of charge (SOC) into a predetermined battery pack heating model to obtain energy consumption of the battery pack when the battery pack of the electric automobile is heated at different heating powers, and the energy consumption is used as a first energy consumption set;
the second determination module 203: for determining an optimal energy consumption of the first set of energy consumptions, the optimal energy consumption meeting a battery power requirement and the energy consumption to heat the battery is minimal;
the first control module 204: for controlling the battery pack to heat at a heating power corresponding to the optimal energy consumption in the first set of energy consumptions. By adopting the device, after the battery pack is heated by the heating power corresponding to the optimal energy consumption under the conditions of the predicted driving mileage and the predicted driving time, the energy consumed by heating the battery pack can be minimized. By adopting the method, the energy waste of the battery pack can be effectively avoided, and the hundred kilometers of energy consumption of the electric automobile is reduced.
In one possible implementation manner, the battery pack heating model is determined according to the estimated driving mileage, the estimated driving time, the battery pack temperature, the state of charge (SOC), the heating power and the corresponding battery pack energy consumption of M groups of the electric vehicle, wherein M is a positive integer.
In one possible implementation, the apparatus further includes:
an update module to: acquiring a second predicted driving mileage and a second predicted driving time of the electric vehicle according to a preset time interval, and acquiring an updated battery pack temperature and an updated state of charge (SOC);
a third determination module to: inputting the second estimated driving mileage, the second estimated driving time, the updated temperature of the battery pack and the updated state of charge (SOC) into the battery pack heating model to obtain energy consumption of the battery pack as a second energy consumption set when the battery pack of the electric vehicle is heated by different heating powers;
a fourth determination module to: determining an optimal energy consumption of the second set of energy consumptions that satisfies a battery power demand and that heats the battery with a minimum energy consumption;
a second control module to: controlling the battery pack to heat at a heating power corresponding to the optimal energy consumption in the second energy consumption set.
In addition, this application embodiment still provides a device of heating electric automobile battery pack, its characterized in that includes: a memory, a processor, and a computer program stored on the memory and executable on the processor, when executing the computer program, implementing the method of heating an electric vehicle battery pack according to any one of claims 1-5.
The embodiment of the application also provides a computer-readable storage medium, wherein a computer program is stored in the computer-readable storage medium, and the computer program is used for executing the method for heating the electric vehicle battery pack according to any one of claims 1 to 5.
Other embodiments of the present application will be apparent to those skilled in the art from consideration of the specification and practice of the invention disclosed herein. This application is intended to cover any variations, uses, or adaptations of the invention following, in general, the principles of the application and including such departures from the present disclosure as come within known or customary practice in the art to which the invention pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the application being indicated by the following claims.
It will be understood that the present application is not limited to the precise arrangements described above and shown in the drawings and that various modifications and changes may be made without departing from the scope thereof. The scope of the application is limited only by the appended claims.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
The above description is only exemplary of the present application and should not be taken as limiting the present application, as any modification, equivalent replacement, or improvement made within the spirit and principle of the present application should be included in the protection scope of the present application.

Claims (10)

1. A method of heating an electric vehicle battery pack, the method comprising:
acquiring a first estimated driving mileage and a first estimated driving time of the electric automobile, and acquiring the current battery pack temperature and the current state of charge (SOC) of the electric automobile;
inputting the first estimated driving mileage, the first estimated driving time, the current battery pack temperature and the current state of charge (SOC) into a predetermined battery pack heating model to obtain energy consumption of the battery pack when the battery pack of the electric vehicle is heated at different heating powers, wherein the energy consumption is used as a first energy consumption set, and the battery pack heating model is used for determining the energy consumption of the battery pack when the battery pack of the electric vehicle is heated at different heating powers;
determining an optimal energy consumption of the first set of energy consumptions that satisfies a battery power demand and that heats the battery with a minimum energy consumption;
and controlling the battery pack to heat at the heating power corresponding to the optimal energy consumption in the first energy consumption set.
2. The method of claim 1, wherein the battery pack heating model is determined from M sets of predicted driving range, predicted driving time, battery pack temperature, state of charge (SOC), heating power, and corresponding battery pack energy consumption of the electric vehicle, M being a positive integer.
3. The method of claim 1, wherein the obtaining a first predicted driving range and a first predicted driving time of the electric vehicle comprises:
and acquiring a planned driving mileage from a journey estimation module of the electric automobile as the first expected driving mileage, and acquiring a planned driving time corresponding to the planned driving mileage from the journey estimation module as the first expected driving time.
4. The method according to any one of claims 1-3, wherein after controlling the battery pack to heat at the heating power corresponding to the optimal energy consumption in the first set of energy consumptions, the method further comprises:
acquiring a second predicted driving mileage and a second predicted driving time of the electric vehicle according to a preset time interval, and acquiring an updated battery pack temperature and an updated state of charge (SOC);
inputting the second estimated driving mileage, the second estimated driving time, the updated temperature of the battery pack and the updated state of charge (SOC) into the battery pack heating model to obtain energy consumption of the battery pack as a second energy consumption set when the battery pack of the electric vehicle is heated by different heating powers;
determining an optimal energy consumption of the second set of energy consumptions that satisfies a battery power demand and that heats the battery with a minimum energy consumption;
and controlling the battery pack to heat at the heating power corresponding to the optimal energy consumption in the second energy consumption set.
5. The method of claim 1, wherein the obtaining the predicted driving range of the electric vehicle comprises:
and counting the habitual driving mileage from the data uploaded by the electric automobile in the past times to obtain the habitual driving mileage as the planned driving mileage.
6. An apparatus for heating a battery pack for an electric vehicle, the apparatus comprising:
an acquisition module to: acquiring a first estimated driving mileage and a first estimated driving time of the electric automobile, and acquiring the current battery pack temperature and the current state of charge (SOC) of the electric automobile;
a first determination module to: inputting the first estimated driving mileage, the first estimated driving time, the current battery pack temperature and the current state of charge (SOC) into a predetermined battery pack heating model to obtain energy consumption of the battery pack when the battery pack of the electric vehicle is heated at different heating powers, wherein the energy consumption is used as a first energy consumption set, and the battery pack heating model is used for determining the energy consumption of the battery pack when the battery pack of the electric vehicle is heated at different heating powers;
a second determination module to: determining an optimal energy consumption of the first set of energy consumptions that satisfies a battery power demand and that heats the battery with a minimum energy consumption;
a first control module to: and controlling the battery pack to heat at the heating power corresponding to the optimal energy consumption in the first energy consumption set.
7. The apparatus of claim 6, wherein the battery pack heating model is determined according to M sets of estimated driving mileage, estimated driving time, battery pack temperature, state of charge (SOC), heating power, and corresponding battery pack energy consumption of the electric vehicle, M being a positive integer.
8. The apparatus of claim 6 or 7, further comprising:
an update module to: acquiring a second predicted driving mileage and a second predicted driving time of the electric vehicle according to a preset time interval, and acquiring an updated battery pack temperature and an updated state of charge (SOC);
a third determination module to: inputting the second estimated driving mileage, the second estimated driving time, the updated temperature of the battery pack and the updated state of charge (SOC) into the battery pack heating model to obtain energy consumption of the battery pack as a second energy consumption set when the battery pack of the electric vehicle is heated by different heating powers;
a fourth determination module to: determining an optimal energy consumption of the second set of energy consumptions that satisfies a battery power demand and that heats the battery with a minimum energy consumption;
a second control module to: controlling the battery pack to heat at a heating power corresponding to the optimal energy consumption in the second energy consumption set.
9. An apparatus for heating a battery pack for an electric vehicle, comprising: a memory, a processor, and a computer program stored on the memory and executable on the processor, when executing the computer program, implementing the method of heating an electric vehicle battery pack according to any one of claims 1-5.
10. A computer-readable storage medium, in which a computer program for executing the method of heating a battery pack of an electric vehicle according to any one of claims 1 to 5 is stored.
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