CN115932600A - Battery heating power prediction method, storage medium and electronic equipment - Google Patents
Battery heating power prediction method, storage medium and electronic equipment Download PDFInfo
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Abstract
The invention provides a method for predicting heating power of a battery, a storage medium and an electronic device, wherein the method comprises the following steps: acquiring battery DATA list DATA = (DATA) 1 ,data 2 ,...,data j ,...,data m )，data j ＝(t1 j ,t2 j ,I j ,h j )；data j Is the jth battery DATA group in DATA; t1 j Is data j Corresponding start time, t2 j Is data j A corresponding end time; i is j At t1 j To t2 j A current value expression of the target battery in the time period of (a); h is j A charging and discharging identifier of the target battery; acquiring a target TIME group TIME; time r Is the r-th target TIME in TIME, t1 1 ≤time r ≤t2 m (ii) a Predicting time through data acquisition process r Corresponding heating power P r . Thus, the efficiency of battery thermal management development of the target battery can be improved.
Description
Technical Field
The present invention relates to the field of batteries, and in particular, to a method for predicting battery heating power, a storage medium, and an electronic device.
Background
The battery thermal management is a technology for solving the problem of heat dissipation or thermal runaway caused by the fact that a battery works under the condition of overhigh or overlow temperature so as to improve the overall performance of the battery.
In the process of battery thermal management development, firstly, a thermal management structure design is carried out on a battery, then thermal management simulation is carried out on the basis of the thermal management structure, then the current thermal management structure is adjusted according to the result of the thermal management simulation so as to enable the thermal management structure of the battery to be more reasonable, and then the thermal management simulation is continuously carried out on the adjusted thermal management structure. After a plurality of times of thermal management structure adjustment and thermal management simulation, a more reasonable thermal management structure of the battery can be obtained. In order to reduce the number of times of adjusting a thermal management structure and performing thermal management simulation in the thermal management development process of a battery, the heating power change condition of the battery in the process of working under a preset working condition can be generally predicted before the design of the thermal management structure, and the method for obtaining the heating power change condition generally comprises the following steps: firstly, testing and calculating the battery to obtain the internal resistance of the battery, and then according to the internal resistance of the battery and the current value change condition corresponding to the preset working condition, based on P W ＝I W 2 *R W The heating power variation of the battery can be determined, wherein P W Is the heating power of the battery, I W Is the current value of the battery, R W Is the internal resistance of the battery.
In the actual working process of the battery, the actual internal resistance of the battery changes along with the change of the actual working state, so that if the accurate heating power change condition in the process of working the battery under the preset working condition is determined, the battery is controlled to work under the preset working condition and obtain the real-time internal resistance, under the condition of long duration of the preset working condition, the internal resistance of the battery is generally obtained according to a test with short time, but the error between the obtained internal resistance of the battery and the actual internal resistance of the battery in the process of working the battery under the preset working condition is large, so that the predicted accuracy of the heating power change condition of the battery is low, and therefore, in the process of battery thermal management development, after the thermal management structure design is carried out based on the predicted heating power change condition of the battery, a reasonable thermal management structure can be obtained only by many times of thermal management structure adjustment and simulation thermal management, so that the efficiency of battery thermal management development is low.
Disclosure of Invention
Aiming at the technical problems, the technical scheme adopted by the invention is as follows:
according to an aspect of the present invention, there is provided a method for predicting a heating power of a battery, the method including the steps of:
s100, acquiring a battery DATA list DATA = (DATA) when a target battery works under a preset working condition 1 ,data 2 ,...,data j ,...,data m )，j＝1,2,...,m，data j ＝(t1 j ,t2 j ,I j ,h j ) (ii) a Wherein, the data j Is the jth battery DATA group in the DATA, and m is the number of the battery DATA groups in the DATA; t1 j Is data j Corresponding start time, t2 j Is data j Corresponding end time, t1 j And t2 j The following conditions are satisfied: t1 j ＜t2 j And t2 i ＝t1 i+1 ，i＝1,2,...,m-1；I j At t1 j To t2 j A current value expression of the target battery within the time period of (a); h is j Is charge and discharge identification of the target battery, h j If h is 1, -1 or 0 j =1 for representation at t1 j To t2 j If h is the target battery is in a charged state j = -1 used to indicate at t1 j To t2 j If h is the target battery is in a discharge state j =0 for t1 j To t2 j The target battery is in a stationary state during the period of time.
S200, acquiring a target TIME group TIME = (TIME) 1 ,time 2 ,...,time r ,...,time s ) R =1,2,. Multidot.s; wherein, time r Is a preset r target time, t1 1 ≤time r ≤t2 m (ii) a s is the number of preset target times.
S300, predicting to obtain time through data acquisition processing r Corresponding heating power P r To obtain a heating power set POW = (P) 1 ,P 2 ,...,P r ,...,P s )。
The data acquisition process includes the steps of:
s310, determining time in DATA r Corresponding target battery data set data g(r) ，g(r)＝1,2,...,m。
S320, determining h g(r) Whether or not it is 0; if so, P r =0; otherwise, the process proceeds to step S330.
S330, according to the data g(r) Obtaining time r Corresponding residual capacity SOC r ＝(C0-C1 r )/C2 r (ii) a Wherein, C0 is the rated capacity of the target battery; c1 r Is time r The amount of change in the amount of charge of the corresponding target battery,
if h g(r) 1, then C2 r Is represented by I 0 r Charging the target battery from its lower limit rated voltage Vmin to its upper limit rated voltage Vmax with a constant current 0 r Is time r A current value of the corresponding target battery; if h g(r) =1, then C2 r To be I 0 r The constant current discharges the amount of electricity discharged by the target battery in the process of discharging the target battery from Vmax to Vmin.
S340, according to SOC r Obtaining time r Corresponding heating power P r ＝(U r -U 0 r )*I 0 r (ii) a Wherein, if h g(r) If 1, then U r For the remaining capacity to be SOC r Target cell of (2) with 0 r Open circuit voltage during charging, if h g(r) =1, then U r For the remaining capacity to be SOC r Target cell of (1) 0 r Open circuit voltage at the time of discharge; u shape 0 r The remaining capacity is SOC r Open circuit voltage when the target battery is left at rest.
According to another aspect of the present invention, there is also provided a non-transitory computer readable storage medium having at least one instruction or at least one program stored therein, the at least one instruction or the at least one program being loaded and executed by a processor to implement the above-mentioned method for predicting battery heating power.
According to another aspect of the invention, there is also provided an electronic device comprising a processor and the non-transitory computer-readable storage medium described above.
The invention has at least the following beneficial effects:
in the invention, the working time to the target time under the preset working condition is predicted r When the heating power of the target battery is set, if the target battery is in a charged or discharged state, the SOC is passed r ＝(C0-C1 r )/C2 r The remaining capacity of the target battery at this time can be predicted, wherein,
based on SOC r Can determine U r And U 0 r And through P r ＝(U r -U 0 r )*I 0 r The heating power of the target battery at this time is predicted, and then the heating power of the target battery when the target battery works to each target time under a preset working condition can be predicted, so that a heating power group POW can be obtained.
In the related art, the internal resistance of the target battery is obtained according to a test with a short time, and then the internal resistance and the time are calculated r The current value of the time target battery can be predicted to obtain time r The heating power of the target battery is increased, and the internal resistance of the target battery is continuously changed in the process that the target battery actually works under the preset working condition, so that the internal resistance of the target battery obtained according to a short-time test and the internal resistance of the target battery working to time under the preset working condition r The error between the actual internal resistances is larger, and the predicted time is further r The accuracy of the heating power of the target battery is low.
Compared with the related art, the time is determined based on the preset working condition r Remaining capacity SOC of target battery r And further in the invention for determining the heating power P r U of (1) r 、U 0 r And I 0 r The preset working condition is considered, so that the target battery actually works to time under the preset working condition r Heating power of time target battery and time predicted by the invention r Heating power P of target battery r The error between the preset working condition and the preset working condition is small, and the accuracy of the predicted heating power group POW is high, namely the accuracy of the predicted heating power change condition of the target battery in the working process under the preset working condition is high. Furthermore, in the process of battery thermal management development of the target battery, after a thermal management structure is designed based on the change condition of the heating power, a reasonable thermal management structure can be obtained through a few times of thermal management structure adjustment and thermal management simulation, and the efficiency of battery thermal management development of the target battery can be improved.
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In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings required to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the description below are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a flowchart of a method for predicting battery heating power according to an embodiment of the present invention.
Fig. 2 is a schematic diagram of a working condition curve provided in the embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, 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 invention.
The embodiment of the invention provides a method for predicting heating power of a battery. Wherein, the method can be completed by any one or any combination of the following items: a terminal, a server, or other devices with processing capability, which is not limited in this embodiment of the present invention. The battery heating power prediction method will be described with reference to a flowchart of the battery heating power prediction method shown in fig. 1.
The method comprises the following steps:
s100, acquiring a battery DATA list DATA = (DATA) when a target battery works under a preset working condition 1 ,data 2 ,...,data j ,...,data m )，j＝1,2,...,m，data j ＝(t1 j ,t2 j ,I j ,h j )。
Wherein, the data j Is the jth battery DATA group in DATA, and m is the number of the battery DATA groups in DATA; t1 j Is data j Corresponding start time, t2 j Is data to j Corresponding end time, t1 j And t2 j The following conditions are satisfied: t1 j ＜t2 j And t2 i ＝t1 i+1 ，i＝1,2,...,m-1；I j At t1 j To t2 j A current value expression of the target battery within the time period of (a); h is a total of j Is charge and discharge identification of the target battery, h j 1, -1 or 0 if h j =1 for representation at t1 j To t2 j If h is the target battery is in a charged state j = -1 used to indicate at t1 j To t2 j At the target battery during the time periodIn the discharge state, if h j =0 for t1 j To t2 j The target battery is in a stationary state during the period of time.
Specifically, the preset working condition is obtained through simulation, and the current value and the change condition of the charge-discharge state of the target battery along with time are obtained in the working process of the target battery in the preset use scene. The preset working conditions can be displayed through the working condition curves. For example, as shown in the schematic diagram of the operating condition curve shown in fig. 2, the curve is an operating condition curve corresponding to a preset operating condition, the abscissa of any point in the operating condition curve is the time corresponding to the point, the ordinate of any point is the current value corresponding to the point, and the time corresponding to the starting point of the operating condition curve is t1 1 The time corresponding to the end point of the operating condition curve is t2 m . If any point in the operating condition curve is located above the straight line with the current value of 0, the target battery is indicated to be operated under the preset operating condition t1 1 When the target battery works to the time corresponding to the point, the target battery is in a charging state; if any point in the operating condition curve is positioned below the straight line with the current value of 0, the target battery is indicated to be in the preset operating condition t1 1 When the target battery works to the time corresponding to the point, the target battery is in a discharging state; if any point in the working condition curve is a point in a straight line with the current value being 0, the target battery is indicated to be in the preset working condition t1 1 And when the target battery works to the time corresponding to the point, the target battery is in a static state.
The current value expression is used to represent the variation of the current value with time. For example, if I j ＝(x-t1 1 ) 2, x is I j Corresponding to the time independent variable, the target battery works to t1 under the preset working condition j And t2 j At any time point t3 in between j When the current value of the target battery is (t 3) j -t1 1 )*2。
S200, acquiring a target TIME group TIME = (TIME) 1 ,time 2 ,...,time r ,...,time s )，r＝1,2,...,s。
Wherein, time r Is a preset r target time, t1 1 ≤time r ≤t2 m (ii) a s is the number of preset target times.
S300, predicting to obtain time through data acquisition processing r Corresponding heating power P r To obtain a heating power group POW = (P) 1 ,P 2 ,...,P r ,...,P s )。
The data acquisition process includes the steps of:
s310, determining time in DATA r Corresponding target battery data set data g(r) ，g(r)＝1,2,...,m。
A specific implementation of the step S310 may be as follows: if time r ≠t1 1 Traversing the battery DATA group in the DATA to determine time r Whether the time is the time between the starting time and the ending time corresponding to any battery DATA group in the DATA or the same time as the ending time corresponding to any battery DATA group, if so, the battery DATA group is taken as the time r Corresponding target battery data set data g(r) . If time r ＝t1 1 Then data will be recorded 1 As time r Corresponding target battery data set data g(r) 。
S320, determining h g(r) Whether or not it is 0; if so, P r =0; otherwise, the process proceeds to step S330.
In particular, h g(r) Not equal to 0 indicates that the target battery works to the target time under the preset working condition r Is in a charging or discharging state h g(r) =0 shows that the target battery works to time under the preset working condition r It is in a static state.
S330, according to the data g(r) And acquiring the residual electric quantity SOC corresponding to the time r ＝(C0-C1 r )/C2 r 。
Wherein, C0 is the rated capacity of the target battery; c1 r Is time r The amount of change in the amount of charge of the corresponding target battery,
if h g(r) 1, then C2 r To be I 0 r Charging the target battery from its lower limit rated voltage Vmin to its upper limit rated voltage Vmax with a constant current 0 r Is time r A current value of the corresponding target battery; if h g(r) =1, then C2 r To be I 0 r The constant current discharges the amount of power discharged by the target battery in the process of discharging the target battery from Vmax to Vmin.
Specifically, dx is a differential to x, and x is an independent variable used for representing time in the current value expression; i is 0 r To x = time r Substitution into I g(r) The resulting current value. SOC r The predicted preset working condition is t1 1 Working to time r The remaining capacity of the target battery.
S340, according to SOC r Obtaining time r Corresponding heating power P r ＝(U r -U 0 r )*I 0 r 。
Wherein, if h g(r) If 1, then U r For the remaining capacity to be SOC r Target cell of (1) 0 r Open circuit voltage during charging, if h g(r) =1, then U r For the remaining capacity to be SOC r Target cell of (1) 0 r Open circuit voltage at the time of discharge; u shape 0 r The remaining capacity is SOC r Open circuit voltage when the target battery is left at rest.
In particular, P r The predicted preset working condition is t1 1 Working to time r The heating power of the target battery.
Therefore, the invention predicts the working time to the target time under the preset working condition r When the heating power of the target battery is set, if the target battery is in a charged or discharged state, the SOC is passed r ＝(C0-C1 r )/C2 r The remaining capacity of the target battery at this time can be predicted, wherein,
based on SOC r Can determine U r And U 0 r And through P r ＝(U r -U 0 r )*I 0 r The heating power of the target battery at this time is predicted, and then the heating power of the target battery when the target battery works to each target time under a preset working condition can be predicted, so that a heating power group POW can be obtained.
In the related art, the internal resistance of the target battery is obtained according to a test with a short time, and then the internal resistance and the time are calculated r The current value of the time target battery can be predicted to obtain time r The heating power of the target battery is increased, and the internal resistance of the target battery is continuously changed in the process that the target battery actually works under the preset working condition, so that the internal resistance of the target battery obtained according to a short-time test and the internal resistance of the target battery working to time under the preset working condition r The error between the actual internal resistances is larger, and the predicted time is further predicted r The accuracy of the heating power of the target battery is low.
Compared with the related art, the time is determined based on the preset working condition r Remaining capacity SOC of target battery r And further for determining the heating power P in the present invention r U of (2) r 、U 0 r And I 0 r The preset working condition is considered, so that the target battery actually works to time under the preset working condition r Heating power of time target battery and time predicted by the invention r Heating power P of target battery r The error between the two is small, and the accuracy of the heating power group POW predicted by the invention is high, namely the accuracy of the predicted heating power change condition of the target battery in the working process under the preset working condition is high. Furthermore, in the process of battery thermal management development of the target battery, after a thermal management structure is designed based on the heating power change condition, a reasonable thermal management structure can be obtained through a few times of thermal management structure adjustment and thermal management simulation, and the efficiency of battery thermal management development of the target battery can be improved.
Optionally, before step S300, the method further includes the following steps:
s400, acquiring a current value group A = (a) 1 ,a 2 ,...,a u ,...,a v )，u＝1,2,...,v。
Wherein, a u Is the preset u current value, and v is the number of the preset current values.
S500, according to A, acquiring a full charge and discharge amount list CAP = (CAP) corresponding to the reference battery 1 ,CAP 2 )，
CAP 1 ＝(cap 1 1 ,cap 1 2 ,...,cap 1 u ,...,cap 1 v )，CAP 2 ＝(cap 2 1 ,cap 2 2 ,...,cap 2 u ,...,cap 2 v )。
Wherein the battery model of the reference battery is the same as the battery model of the target battery; CAP (common Place Capacity) 1 To refer to the corresponding full charge group, cap, of the battery 1 u Is a to u Charging the reference battery to the electric quantity of the reference battery in the process of charging the reference battery from Vmin to Vmax by the constant current; CAP (common Place Capacity) 2 For reference to a corresponding set of full discharge capacities, cap, of the battery 2 u Is a to u The constant current will refer to the amount of charge the battery is discharging from Vmax to Vmin.
Step S330 includes the steps of:
s331, according to h g(r) And I 0 r In CAP 1 Or CAP 2 To determine C2 r 。
S332, according to the data g(r) And C2 r Obtaining time r Corresponding residual capacity SOC r ＝(C0-C1 r )/C2 r 。
In the invention, before the step S300, the corresponding relation between the current and the full charge and discharge capacity of the battery with the same type as the target battery can be tested in advance, namely the corresponding relation between the current and the full charge and discharge capacity of the reference battery is obtained, and the time is obtained r Corresponding residual capacity SOC r Is directly according to h g(r) And I 0 r Obtaining corresponding C2 r That is, there is no need for C2 corresponding to the target battery every time r And testing is carried out, and the battery thermal management development efficiency of the target battery is improved.
Optionally, step S331 includes the following steps:
s3311, if h g(r) =1, then according to I 0 r In CAP 1 In which C2 is determined by interpolation r 。
S3312, if h g(r) =1, then according to I 0 r In CAP 2 Wherein C2 is determined by interpolation r 。
Specifically, the interpolation method may be a linear interpolation method or a nonlinear interpolation method.
In the invention, when the corresponding relation between the current and the full charge-discharge capacity of the reference battery is tested, the full charge-discharge amount corresponding to the current corresponding to each target time in the preset working condition does not need to be tested, and C2 is determined r The table is looked up through an interpolation method, so that the times of testing the reference battery can be reduced, and the testing efficiency is improved.
Optionally, after step S400 and before step S300, the method further includes the steps of:
s600, controlling the reference battery with the residual capacity as the first initial capacity to be a u Charging, and obtaining the open-circuit voltage ocv1 of the reference battery when the residual capacity of the reference battery increases to the qth end capacity u q To obtain a charging open-circuit voltage list OCV1= (OCV 1) corresponding to the reference battery 1 ,ocv1 2 ,...,ocv1 u ,...,ocv1 v )，ocv1 u ＝(ocv1 u 1 ,ocv1 u 2 ,...,ocv1 u q ,...,ocv1 u s )，q＝1,2,...,s。
Wherein, ocv1 u Is a u And the corresponding charging open-circuit voltage group s is the number of the preset ending electric quantity.
S700, controlling the residual capacity as the reference battery of the second initial capacity to be a u Discharging and reducing the residual capacity of the reference battery to the qth end capacityObtaining the open circuit voltage ocv2 of the reference cell u q To obtain a discharging open-circuit voltage list OCV2= (OCV 2) corresponding to the reference battery 1 ,ocv2 2 ,...,ocv2 u ,...,ocv2 v )，ocv2 u ＝(ocv2 u 1 ,ocv2 u 2 ,...,ocv2 u q ,...,ocv2 u s )。
Wherein, ocv2 u Is a u A corresponding discharge open-circuit voltage group, s being the number of the preset ending electric quantity; the second initial amount of power is greater than the first initial amount of power.
S800, acquiring an open-circuit voltage ocv3 of a reference battery in a standing state and with the residual capacity being the qth ending capacity q To obtain a stationary open-circuit voltage group ocv3= (ocv 3) corresponding to the reference battery 1 ,ocv3 2 ,...,ocv3 q ,...,ocv3 s )。
Step S340 includes the steps of:
s341, according to h g(r) 、I 0 r And SOC r In OCV1 or OCV2, U is determined r 。
S342, according to SOC r In ocv3, U is determined 0 r 。
S343, according to U r And U 0 r Obtaining time r Corresponding heating power P r ＝(U r -U 0 r )*I 0 r 。
Specifically, the value range of the first initial electric quantity is 0% -10%, and the value range of the second initial electric quantity is 90% -100%. Preferably, the first initial amount of electricity is 0% and the second initial amount of electricity is 100%.
In the invention, before the step S300, the corresponding relation among the current, the residual capacity and the open-circuit voltage of the battery with the same type as the target battery can be tested in advance, namely the corresponding relation among the current, the residual capacity and the open-circuit voltage of the reference battery can be tested, and when the step S340 is carried out, the corresponding relation is directly tested according to h g(r) 、I 0 r And SOC r Obtain corresponding U r And U 0 r The target battery is not required to be tested every time, and the battery thermal management development efficiency of the target battery is improved.
Optionally, step S341 includes the following steps:
s3411, if h g(r) 1, according to SOC r And I 0 r Determination of U in OCV1 by interpolation r ；
S3412, if h g(r) =1, then according to SOC r And I 0 r Determination of U in OCV2 by interpolation r 。
Optionally, step S342 includes the following steps:
s3421, according to SOC r U is determined by interpolation in ocv3 0 r 。
In the invention, when the corresponding relation among the current, the residual capacity and the open-circuit voltage of the reference battery is tested, the full charge-discharge capacity corresponding to the current and the residual capacity corresponding to each target time in the preset working condition does not need to be tested, and the full charge-discharge capacity corresponding to the current and the residual capacity in U r And U 0 r The table look-up can be carried out through an interpolation method, so that the times of testing the reference battery can be reduced, and the testing efficiency is improved.
Optionally, h i And h i+1 Different. For the same preset working condition, compared with the condition that the charging and discharging identification corresponding to any battery data group and the adjacent battery data group are the same, h in the invention i And h i+1 The difference can make the battery DATA group in the DATA less, and further determine the target time r Corresponding data g(r) Time and time r Fewer battery data sets are matched to conserve computing resources.
Further, since the POW can be specified in the present invention, the following processing can be performed based on the POW:
optionally, the maximum heating power in the POW may be determined according to the POW, and then the maximum cooling power of the thermal management structure of the target battery may be determined, so as to reduce the possibility that the target battery is overheated in the working process due to insufficient cooling capacity of the thermal management structure, and reduce the possibility that the charging and discharging performance of the target battery is limited or cliff-type reduction is caused due to too high temperature in the working process of the target battery.
Optionally, a heating power variation curve may also be obtained according to the POW, and a real-time cooling capacity of the thermal management structure of the target battery in the working process of the target battery is determined according to the heating power variation curve, so as to perform constant temperature management on the target battery.
Optionally, according to the heating power variation curve, the accumulated heat amount of the target battery in the working process can be determined through integration, based on the accumulated heat amount, and in combination with the specific heat capacity and the heat dissipation amount of the target battery, the system accumulated temperature rise of the battery system corresponding to the target battery can be evaluated, when the thermal management system of the battery system is designed, the thermal management capability of the thermal management system can be adjusted based on the system accumulated temperature rise, the possibility that the target battery in the battery system is overheated in the working process is reduced, and the working performance of the target battery in the battery system is optimized.
Embodiments of the present invention also provide a non-transitory computer-readable storage medium, which may be disposed in an electronic device to store at least one instruction or at least one program for implementing a method of the method embodiments, where the at least one instruction or the at least one program is loaded into and executed by a processor to implement the method provided by the above embodiments.
Embodiments of the present invention also provide an electronic device comprising a processor and the aforementioned non-transitory computer-readable storage medium.
Embodiments of the present invention also provide a computer program product comprising program code means for causing an electronic device to carry out the steps of the method according to various exemplary embodiments of the invention described above in the present specification, when said program product is run on the electronic device.
Although some specific embodiments of the present invention have been described in detail by way of illustration, it should be understood by those skilled in the art that the above illustration is only for the purpose of illustration and is not intended to limit the scope of the invention. It will also be appreciated by those skilled in the art that various modifications may be made to the embodiments without departing from the scope and spirit of the invention. The scope of the invention is defined by the appended claims.
Claims (10)
1. A method for predicting battery heating power, the method comprising the steps of:
s100, acquiring a battery DATA list DATA = (DATA) when a target battery works under a preset working condition 1 ,data 2 ,...,data j ,...,data m )，j＝1,2,...,m，data j ＝(t1 j ,t2 j ,I j ,h j ) (ii) a Wherein, the data j Is the jth battery DATA group in the DATA, and m is the number of the battery DATA groups in the DATA; t1 j Is data j Corresponding start time, t2 j Is data j Corresponding end time, t1 j And t2 j The following conditions are satisfied: t1 j ＜t2 j And t2 i ＝t1 i+1 ，i＝1,2,...,m-1；I j At t1 j To t2 j A current value expression of the target battery in the time period of (a); h is a total of j Is a charge and discharge identification of the target battery, h j 1, -1 or 0 if h j =1 for representation at t1 j To t2 j If h is the target battery is in a charged state j = -1 for representation at t1 j To t2 j Is in a discharge state if h j =0 for t1 j To t2 j The target battery is in a standing state within a time period;
s200, acquiring a target TIME group TIME = (TIME) 1 ,time 2 ,...,time r ,...,time s ) R =1,2,. ·, s; wherein, time r Is a preset r target time, t1 1 ≤time r ≤t2 m (ii) a s is the number of preset target times;
s300, predicting to obtain time through data acquisition processing r Corresponding heating power P r To obtain a heating power set POW = (P) 1 ,P 2 ,...,P r ,...,P s )；
The data acquisition process includes the steps of:
s310, determining time in DATA r Corresponding target battery data set data g(r) ，g(r)＝1,2,...,m；
S320, determining h g(r) Whether the value is 0; if so, P r =0; otherwise, go to step S330;
s330, according to the data g(r) Obtaining time r Corresponding residual capacity SOC r ＝(C0-C1 r )/C2 r (ii) a Wherein C0 is the rated capacity of the target battery; c1 r Is time r The corresponding amount of change in the charge of the target battery,
if h is g(r) 1, then C2 r To be I 0 r Charging the target battery from its lower limit rated voltage Vmin to its upper limit rated voltage Vmax with a constant current to the electric quantity of the target battery, I 0 r Is time r A current value of the corresponding target battery; if h g(r) =1, then C2 r To be I 0 r The electric quantity discharged by the target battery in the process of discharging the target battery from Vmax to Vmin by constant current;
s340, according to SOC r Obtaining time r Corresponding heating power P r ＝(U r -U 0 r )*I 0 r (ii) a Wherein, if h g(r) If 1, then U r For the remaining capacity to be SOC r Target cell of (1) 0 r Open circuit voltage during charging, if h g(r) = -1, then U r For the remaining capacity to be SOC r Target cell of (1) 0 r Open circuit voltage at the time of discharge; u shape 0 r The remaining capacity is SOC r Open circuit voltage when the target battery is left at rest.
2. The method according to claim 1, characterized in that before the step S300, the method further comprises the steps of:
s400, acquiring a current value group A = (a) 1 ,a 2 ,...,a u ,...,a v ) U =1,2, ·, v; wherein, a u Is a preset u-th current value, and v is the number of preset current values;
s500, according to A, acquiring a full charge and discharge amount list CAP = (CAP) corresponding to the reference battery 1 ,CAP 2 )，
CAP 1 ＝(cap 1 1 ,cap 1 2 ,...,cap 1 u ,...,cap 1 v )，CAP 2 ＝(cap 2 1 ,cap 2 2 ,...,cap 2 u ,...,cap 2 v ) (ii) a Wherein, the institute
The battery model of the reference battery is the same as that of the target battery; CAP 1 For a corresponding full charge group, cap, of said reference cell 1 u Is a to u Charging the reference battery to the electric quantity of the reference battery in the process of charging the reference battery from Vmin to Vmax by constant current; CAP 2 For a corresponding set of full discharges, cap, of said reference cell 2 u Is a to u The electric quantity discharged by the reference battery in the process of discharging the reference battery from Vmax to Vmin by constant current;
the step S330 includes the steps of:
s331, according to h g(r) And I 0 r In CAP 1 Or CAP 2 To determine C2 r ；
S332, according to the data g(r) And C2 r Obtaining time r Corresponding residual capacity SOC r ＝(C0-C1 r )/C2 r 。
3. The method according to claim 2, wherein the step S331 comprises the steps of:
s3311, if h g(r) =1, then according to I 0 r In CAP 1 In which C2 is determined by interpolation r ；
S3312, if h g(r) =1, then according to I 0 r In CAP 2 In which C2 is determined by interpolation r 。
4. The method of claim 2, wherein after the step S400 and before the step S300, the method further comprises the steps of:
s600, controlling the reference battery with the residual capacity as the first initial capacity to use a u Charging, and acquiring an open-circuit voltage ocv1 of the reference battery when the residual capacity of the reference battery increases to a qth end capacity u q To obtain a charging open-circuit voltage list OCV1= (OCV 1) corresponding to the reference battery 1 ,ocv1 2 ,...,ocv1 u ,...,ocv1 v )，ocv1 u ＝(ocv1 u 1 ,ocv1 u 2 ,...,ocv1 u q ,...,ocv1 u s ) Q =1,2,.., s; wherein, ocv1 u Is a u A corresponding charging open-circuit voltage group s is the preset quantity of the ending electric quantity;
s700, controlling the residual capacity as the reference battery of the second initial capacity to be a u Discharging, and obtaining an open-circuit voltage ocv2 of the reference battery when the remaining capacity of the reference battery is reduced to a qth end capacity u q To obtain a discharging open-circuit voltage list OCV2= (OCV 2) corresponding to the reference battery 1 ,ocv2 2 ,...,ocv2 u ,...,ocv2 v )，ocv2 u ＝(ocv2 u 1 ,ocv2 u 2 ,...,ocv2 u q ,...,ocv2 u s ) (ii) a Wherein, ocv2 u Is a u A corresponding discharge open-circuit voltage group s is the preset quantity of the ending electric quantity; the second initial electric quantity is greater than the first initial electric quantity;
s800, acquiring the reference in a standing state and with the residual electric quantity as the qth ending electric quantityOpen circuit voltage ocv3 of battery q To obtain a stationary open-circuit voltage group ocv3= (ocv 3) corresponding to the reference battery 1 ,ocv3 2 ,...,ocv3 q ,...,ocv3 s )；
The step S340 includes the steps of:
s341, according to h g(r) 、I 0 r And SOC r Determining U in OCV1 or OCV2 r ；
S342, according to SOC r In ocv3, U is determined 0 r ；
S343, according to U r And U 0 r Obtaining time r Corresponding heating power P r ＝(U r -U 0 r )*I 0 r 。
5. The method according to claim 4, wherein the step S341 comprises the steps of:
s3411, if h g(r) =1, according to SOC r And I 0 r Determination of U in OCV1 by interpolation r ；
S3412, if h g(r) =1, then according to SOC r And I 0 r Determination of U in OCV2 by interpolation r 。
6. The method according to claim 4, wherein the step S342 comprises the steps of:
s3421, according to SOC r U was determined by interpolation in ocv3 0 r 。
7. The method according to claim 1, wherein the preset working condition is obtained through simulation, and the current value and the charging and discharging state of the target battery change with time in the process of working in a preset use scene.
8. The method of claim 1, wherein h is i And h i+1 Different.
9. A non-transitory computer readable storage medium having at least one instruction or at least one program stored therein, wherein the at least one instruction or the at least one program is loaded and executed by a processor to implement the method of any one of claims 1-8.
10. An electronic device comprising a processor and the non-transitory computer readable storage medium of claim 9.
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