CN114264964A - Method, device, equipment and medium for evaluating battery capacity - Google Patents

Method, device, equipment and medium for evaluating battery capacity Download PDF

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CN114264964A
CN114264964A CN202111650982.5A CN202111650982A CN114264964A CN 114264964 A CN114264964 A CN 114264964A CN 202111650982 A CN202111650982 A CN 202111650982A CN 114264964 A CN114264964 A CN 114264964A
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target
evaluated
battery
battery cell
capacity
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CN114264964B (en
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赵龙灿
李俭
梁赛
贾建豪
蒋龙
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Svolt Energy Technology Wuxi Co Ltd
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Svolt Energy Technology Wuxi Co Ltd
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    • Y02E60/10Energy storage using batteries

Abstract

The application provides a battery capacity evaluation method, a device, equipment and a medium, wherein the method comprises the following steps: the method comprises the steps that when a target battery module is subjected to a cycle test, the target battery module comprises test data of a plurality of battery cores; selecting a battery cell to be evaluated from a plurality of battery cells included in the target battery module, and selecting a reference battery cell with different sub-capacities included in the battery cell to be evaluated within the charge state use range of the target battery module; determining each sub-capacity included in the battery cell to be evaluated within the charge state use range of the target battery module based on the comparative analysis of the reference test data of the reference battery cell and the test data to be evaluated of the battery cell to be evaluated in the test data of the plurality of battery cells; and determining the whole capacity of the battery cell to be evaluated according to each sub-capacity included in the battery cell to be evaluated. And evaluating the battery cell to be evaluated according to different battery cells in the target battery module to obtain the more real overall capacity of the battery cell to be evaluated.

Description

Method, device, equipment and medium for evaluating battery capacity
Technical Field
The present disclosure relates to the field of battery capacity evaluation technologies, and in particular, to a method, an apparatus, a device, and a medium for battery capacity evaluation.
Background
With the popularization of new energy electric vehicles, battery manufacturers pay more and more attention to the performance of the battery core, particularly the service life of the battery, which is directly related to the purchase intention of consumers. In the process of developing batteries, the life of the batteries is usually obtained according to a battery test standard manual or an enterprise battery test standard manual and according to test results. The battery is composed of components, and the service life of the battery is determined by the components.
The module of the battery pack generally needs various safety and performance verifications before leaving a factory, the cycle life of the module is generally a performance test according to the requirements of customers, and the cycle test of 1C/1C (charging current multiplying power/discharging current multiplying power) is performed under the condition that the SOC (State of Charge) window (the lowest SOC to the highest SOC use range) is used in the whole vehicle at the normal temperature of 25 ℃. The number of the circulation times is determined by the module process, the BMS (battery management system) balance strategy, the cell capacity attenuation characteristic and other factors. For the module with the capacity decaying too fast in the circulation process, reason analysis, especially single-cell capacity analysis, needs to be carried out, but because the module can not be disassembled after being grouped, how to accurately estimate the capacity of each cell in the module becomes a technical problem.
Disclosure of Invention
In view of this, an object of the present application is to provide a method, an apparatus, a device, and a medium for battery capacity evaluation, in which only a cyclic test is required for a target battery module, so as to obtain test data required by the application, the operation procedure is simple, and the test resources are saved.
In a first aspect, an embodiment of the present application provides a method for battery capacity evaluation, where the method includes:
the method comprises the steps of obtaining test data of a plurality of battery cores included by a target battery module when the target battery module is subjected to a cycle test;
selecting a battery cell to be evaluated from a plurality of battery cells included in the target battery module, and selecting a reference battery cell which is within the charge state use range of the target battery module and is used for evaluating different sub-capacities included in the battery cell to be evaluated;
determining each sub-capacity included in the to-be-evaluated battery cell within the charge state use range of the target battery module based on comparative analysis of the reference test data of the reference battery cell and the to-be-evaluated test data of the to-be-evaluated battery cell in the test data of the plurality of battery cells;
and determining the overall capacity of the battery cell to be evaluated according to each sub-capacity included in the battery cell to be evaluated in the charge state use range of the target battery module.
In some technical solutions of the present application, the different sub-capacities of the battery cell to be evaluated include: an unfilled daughter capacity, a discharged daughter capacity, and an unreleased daughter capacity;
the reference cell includes: when the target battery module starts to discharge, the first reference battery cell with the highest voltage in the target battery module and the second reference battery cell with the lowest voltage in the target battery module are discharged after the target battery module is finished.
In some technical solutions of the present application, the determining that the reference test data of the reference battery cell and the to-be-evaluated test data of the to-be-evaluated battery cell in the test data of the plurality of battery cells are within the charge state usage range of the target battery module based on the comparative analysis of the reference test data of the reference battery cell and the to-be-evaluated test data of the to-be-evaluated battery cell includes:
calculating to obtain the discharge capacity of the battery cell to be evaluated according to the test data to be evaluated of the battery cell to be evaluated;
comparing and analyzing the first reference test data of the first reference battery cell and the to-be-evaluated test data of the battery cell to be evaluated, and calculating to obtain the underfill sub-capacity of the battery cell to be evaluated;
and comparing and analyzing the reference test data of the second reference battery cell and the to-be-evaluated test data of the battery cell to be evaluated, and calculating to obtain the unreleased sub-capacity of the battery cell to be evaluated.
In some technical solutions of the present application, the determining that the reference test data of the reference battery cell and the to-be-evaluated test data of the to-be-evaluated battery cell in the test data of the plurality of battery cells are within the charge state usage range of the target battery module based on the comparative analysis of the reference test data of the reference battery cell and the to-be-evaluated test data of the to-be-evaluated battery cell includes:
calculating and analyzing the reference test data of the reference battery cell, and establishing a reference incidence relation of reference capacitance of the reference battery cell in the discharging process;
calculating and analyzing the test data to be evaluated of the battery core to be evaluated, and establishing a target association relation related to the sub-capacity of the battery core to be evaluated in the discharging process;
and comparing and analyzing the reference incidence relation and the target incidence relation, and determining each sub-capacity of the battery cell to be evaluated within the charge state use range of the target battery module.
In some technical solutions of the present application, the comparing and analyzing the reference correlation and the target correlation to determine that each sub-capacity of the battery cell to be evaluated in the charge state usage range of the target battery module includes:
adjusting the reference incidence relation according to an adjustment parameter so as to enable the adjusted reference incidence relation to be matched with the target incidence relation;
determining a segmentation value of the reference incidence relation and the target incidence relation by comparing the adjusted reference incidence relation and the adjusted target incidence relation;
and determining each sub-capacity of the battery cell to be evaluated within the charge state use range of the target battery module according to the segmentation value and the target incidence relation.
In some technical solutions of the present application, the adjustment parameter includes a target translation parameter and a target scaling parameter; the adjusting the reference incidence relation according to the adjustment parameter so that the adjusted reference incidence relation is matched with the target incidence relation comprises:
translating the reference incidence relation according to the target translation parameter to obtain the translated reference incidence relation;
and zooming the translated reference incidence relation according to the target zooming parameter to obtain the reference incidence relation matched with the target incidence relation.
In some technical solutions of the present application, the target translation parameter and the target scaling parameter are obtained as follows:
establishing an error function by taking the translation parameter and the scaling parameter as optimization variables;
solving the target translation parameter and the target scaling parameter by using the following algorithm to solve the error minimum value of the error function; wherein, the solving process of the algorithm comprises the following steps:
initializing a population, and randomly generating initial population individuals; the initial population individuals correspond to a gene string, and the gene string is composed of translation parameters and scaling parameter codes;
screening out target initial population individuals with the best fitness from the initial population individuals; copying and crossing the target initial population individuals to form a new generation population, taking the new generation population as a new initial population individual, returning to the step of screening out the target initial population individual with the best fitness from the initial population individuals until a preset condition is met, and obtaining an optimal target initial population individual; and the translation parameter and the scaling parameter corresponding to the optimal target initial population are the target translation parameter and the target scaling parameter.
In a second aspect, an embodiment of the present application provides an apparatus for battery capacity evaluation, where the apparatus includes:
the acquisition module is used for acquiring test data of a plurality of battery cores included by a target battery module when the target battery module is subjected to a cycle test;
the selection module is used for selecting a battery cell to be evaluated from a plurality of battery cells included in the target battery module and selecting a reference battery cell with different sub-capacities included in the battery cell to be evaluated within the charge state use range of the target battery module;
the comparison analysis module is used for determining each sub-capacity included in the to-be-evaluated battery cell within the charge state use range of the target battery module based on the comparison analysis of the reference test data of the reference battery cell and the to-be-evaluated test data of the to-be-evaluated battery cell in the test data of the plurality of battery cells;
and the determining module is used for determining the whole capacity of the electric core to be evaluated according to each sub-capacity included in the electric core to be evaluated within the charge state use range of the target battery module.
In a third aspect, an embodiment of the present application provides an electronic device, which includes a memory, a processor, and a computer program stored on the memory and executable on the processor, where the processor implements the steps of the method for battery capacity estimation when executing the computer program.
In a fourth aspect, the present application provides a computer-readable storage medium, on which a computer program is stored, where the computer program is executed by a processor to perform the steps of the above-mentioned method for estimating battery capacity.
The technical scheme provided by the embodiment of the application can have the following beneficial effects:
according to the method, when the target battery module is subjected to the cycle test, test data of a plurality of battery cores included by the target battery module are obtained; selecting a battery cell to be evaluated from a plurality of battery cells included in the target battery module, and selecting a reference battery cell with different sub-capacities included in the battery cell to be evaluated within the charge state use range of the target battery module; determining each sub-capacity included in the battery cell to be evaluated within the charge state use range of the target battery module based on the comparative analysis of the reference test data of the reference battery cell and the test data to be evaluated of the battery cell to be evaluated in the test data of the plurality of battery cells; and determining the whole capacity of the battery cell to be evaluated according to each sub-capacity included in the battery cell to be evaluated in the charge state use range of the target battery module. This application only needs to carry out the cycle test to the target battery module, can obtain the test data that this application needs, and operating procedure is succinct, practices thrift test resource, and this application treats according to different electric cores in the target battery module and assesses the electric core and can obtain treating more real whole capacity of aassessment electric core.
In order to make the aforementioned objects, features and advantages of the present application more comprehensible, preferred embodiments accompanied with figures are described in detail below.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are required to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present application and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained from the drawings without inventive effort.
Fig. 1 is a schematic flow chart illustrating a method for evaluating battery capacity according to an embodiment of the present disclosure;
fig. 2 is a schematic diagram illustrating calculation of different sub-capacities of a battery cell to be evaluated according to an embodiment of the present application;
FIG. 3 is a schematic diagram of an apparatus for battery capacity evaluation provided by an embodiment of the present application;
fig. 4 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
Detailed Description
In order to make the purpose, technical solutions and advantages of the embodiments of the present application clearer, 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 should be understood that the drawings in the present application are for illustrative and descriptive purposes only and are not used to limit the scope of protection of the present application. Additionally, it should be understood that the schematic drawings are not necessarily drawn to scale. The flowcharts used in this application illustrate operations implemented according to some embodiments of the present application. It should be understood that the operations of the flow diagrams may be performed out of order, and steps without logical context may be performed in reverse order or simultaneously. One skilled in the art, under the guidance of this application, may add one or more other operations to, or remove one or more operations from, the flowchart.
In addition, the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. The components of the embodiments of the present application, generally described and illustrated in the figures herein, can be arranged and designed in a wide variety of different configurations. Thus, the following detailed description of the embodiments of the present application, presented in the accompanying drawings, is not intended to limit the scope of the claimed application, but is merely representative of selected embodiments of the application. All other embodiments, which can be derived by a person skilled in the art from the embodiments of the present application without making any creative effort, shall fall within the protection scope of the present application.
It should be noted that in the embodiments of the present application, the term "comprising" is used to indicate the presence of the features stated hereinafter, but does not exclude the addition of further features.
With the popularization of new energy electric vehicles, battery manufacturers pay more and more attention to the performance of the battery core, particularly the service life of the battery, which is directly related to the purchase intention of consumers. In the process of developing batteries, the life of the batteries is usually obtained according to a battery test standard manual or an enterprise battery test standard manual and according to test results. The battery is composed of components, and the service life of the battery is determined by the components.
The module of the battery pack generally needs various safety and performance verifications before leaving a factory, the cycle life of the module is generally performance test according to the requirements of customers, and the cycle test of 1C/1C (charging current multiplying power/discharging current multiplying power) is carried out at the normal temperature of 25 ℃ in a SOC (stateofCharge) window (from the lowest SOC to the highest SOC use range) of the whole vehicle. The number of the circulation times is determined by the module process, the BMS (battery system) balance strategy, the cell capacity attenuation characteristic and other factors. For the module with the capacity decaying too fast in the circulation process, reason analysis, especially single-cell capacity analysis, needs to be carried out, but because the module can not be disassembled after being grouped, how to accurately estimate the capacity of each cell in the module becomes a technical problem.
In the prior art, a method for rapidly evaluating the capacity of a lithium ion battery module includes the steps of constructing a relation model between the state of charge (SOC) (stateofCharge) and the Open Circuit Voltage (OCV) (open circuit voltage) of each single battery in the lithium ion battery module, and acquiring voltage data before discharge to obtain the state of charge (SOCSx) of each single battery before discharge and the state of charge (SOCex) of each single battery after discharge; using discharge capacity C during dischargebt、SOCSxAnd SOCexThereby obtaining the capacity of the lithium ion battery module.
In the prior art, the SOC state of a current battery cell before and after discharging is often queried by using the state of charge (SOC) and the open-circuit voltage (OCV) of the battery, and the capacity of the battery cell is estimated by using the discharge capacity during discharging. The method has the disadvantages that the SOC state of the battery cell under the dynamic state is evaluated by using the battery data under the static state, and the inconsistency of each battery cell in the module is not considered by using the corresponding relation between the SOC and the OCV of a single battery, so that the estimation of the capacity of the battery cell is inaccurate.
The embodiment of the application provides a method, a device, equipment and a medium for evaluating battery capacity, and is described by the embodiment below.
Fig. 1 is a schematic flow chart illustrating a method for evaluating battery capacity according to an embodiment of the present application, wherein the method includes steps S101-S104; specifically, the method comprises the following steps:
s101, acquiring test data of a plurality of battery cores included by a target battery module when the target battery module is subjected to a cycle test;
s102, selecting a battery cell to be evaluated and a reference battery cell with different sub-capacities in the charge state use range of the target battery module from a plurality of battery cells included in the target battery module, wherein the reference battery cell is used for evaluating the battery cell to be evaluated;
s103, determining each sub-capacity included in the electric core to be evaluated within the charge state use range of the target battery module based on the comparative analysis of the reference test data of the reference electric core and the to-be-evaluated test data of the electric core to be evaluated in the test data of the plurality of electric cores;
and S104, determining the whole capacity of the battery cell to be evaluated according to each sub-capacity included in the battery cell to be evaluated in the charge state use range of the target battery module.
This application only needs to carry out the cycle test to the target battery module, can obtain the test data that this application needs, and operating procedure is succinct, practices thrift test resource, and this application treats according to different electric cores in the target battery module and assesses the electric core and can obtain treating more real whole capacity of aassessment electric core.
Some embodiments of the present application are described in detail below. The embodiments described below and the features of the embodiments can be combined with each other without conflict.
S101, acquiring test data of a plurality of battery cores included by the target battery module when the target battery module is subjected to the cycle test.
The battery core is the minimum unit of the power battery and is also an electric energy storage unit. When a plurality of electric cores are packaged together by the same shell frame and are communicated with the outside through a uniform boundary, the battery module is formed.
The cycle test is the test that the battery module all need go on when dispatching from the factory, and this application has combined this test procedure, and the target battery module is when carrying out the cycle test, acquires the test data of each electric core in a plurality of electric cores that the target battery module includes. The test data comprises working data of the target battery module in different test states during each circle of test; the test state comprises a charging state, a discharging state and a standing state; the working data comprises charging current, discharging current, temperature and the cell voltage of each battery cell of the target battery module.
S102, selecting a battery cell to be evaluated from a plurality of battery cells included by the target battery module, and selecting a reference battery cell with different sub-capacities included in the battery cell to be evaluated within the charge state use range of the target battery module.
After the test data of each battery cell in the target battery module is obtained, one battery cell to be evaluated, which needs to be evaluated, is selected from a plurality of battery cells included in the target battery module. The overall capacity of the to-be-evaluated battery cell in the charge state use range of the target battery module is divided into different stages, and the overall capacity of the to-be-evaluated battery cell is divided into different sub-capacities in the charge state use range of the target battery module in order to facilitate calculation. The sub-capacities herein include an unfilled sub-capacity, a discharged sub-capacity, and an unreleased sub-capacity. According to the method and the device, the whole capacity of the battery cell to be evaluated is determined by calculating different sub-capacities of the battery cell to be evaluated.
When different sub capacities of the battery cells to be evaluated are calculated, different reference battery cells need to be selected according to the sub capacities. The reference cell herein comprises: when the target battery module starts to discharge, after the first reference battery cell with the highest voltage in the target battery module and the target battery module finish discharging, the second reference battery cell with the lowest voltage in the target battery module. For example, the first reference cell is numbered p and the second reference cell is numbered q.
S103, determining each sub-capacity included in the electric core to be evaluated within the charge state use range of the target battery module based on the comparative analysis of the reference test data of the reference electric core in the test data of the plurality of electric cores and the test data to be evaluated of the electric core to be evaluated.
According to the method and the device, each sub-capacity included by the electric core to be evaluated can be determined by comparing and analyzing the reference data of the reference electric core and the data to be evaluated of the electric core to be evaluated. In the embodiment of the present application as shown in fig. 2, when different sub-capacities of a to-be-evaluated battery cell are calculated, a first reference battery cell and a second reference battery cell are selected, and the calculation of the different sub-capacities of the to-be-evaluated battery cell is as follows:
s201, calculating to obtain the volume of a discharge electron of the electric core to be evaluated according to the test data to be evaluated of the electric core to be evaluated;
s202, comparing and analyzing the first reference test data of the first reference battery cell and the to-be-evaluated test data of the battery cell to be evaluated, and calculating to obtain the underfill sub-capacity of the battery cell to be evaluated;
and S203, comparing and analyzing the reference test data of the second reference battery cell and the to-be-evaluated test data of the battery cell to be evaluated, and calculating to obtain the unreleased sub capacity of the battery cell to be evaluated.
In this embodiment, as an optional embodiment, the number of the to-be-evaluated electric core in the target battery module is a, and the discharge capacity of the to-be-evaluated electric core a can be calculated according to the time and the discharge current included in the to-be-evaluated data of the to-be-evaluated electric core a. The specific calculation formula is as follows:
Figure BDA0003446929020000101
wherein I is the current during discharge, t is the discharge time during discharge, and QdchAnd the discharge capacity of the battery core a to be evaluated in the current cycle number of the target battery module is obtained.
For cell p, the discharge capacity from the beginning of discharge to the end of discharge is calculated:
Figure BDA0003446929020000111
t (n) is the end discharge time, Qp,dch(i) The accumulated discharge capacity corresponding to the discharge time t (i) is recorded, and the voltage of the cell p is:
Vp(i),i=1,2,...,n
for the cell q, the discharge capacity from the start of discharge to the end of discharge was calculated.
Figure BDA0003446929020000112
t (n) is the end discharge time, Qq,dch(i) The accumulated discharge capacity corresponding to the discharge time t (i) is recorded, and the voltage of the cell q is:
Vq(i),i=1,2,...,n。
after the discharge sub-capacity of the battery core to be evaluated is obtained by calculating the test data to be evaluated and the reference capacitance of each reference battery core in the discharge process is obtained by calculating the reference test data, the underfill sub-capacity and the unreleased sub-capacity of the battery core to be evaluated need to be calculated.
When the unfilled sub-capacity and the unreleased sub-capacity of the battery cell to be evaluated are calculated, a target association relation related to the sub-capacity of the battery cell to be evaluated in the discharging process is needed. The target association relationship represents a variation relationship between reference data to be evaluated of the battery core to be evaluated in the discharging process. For example, a variation relationship between the discharge capacity of the battery cell to be evaluated, which is obtained by calculating the data to be evaluated, and the voltage to be evaluated included in the data to be evaluated may be established. In specific implementation, the target curve of the discharge capacity of the battery cell to be evaluated and the voltage to be evaluated can be used for representing.
For underfill sub-capacity: according to the method and the device, the underfill sub-capacity of the battery core to be evaluated is obtained through calculation according to the comparison and analysis of the first reference test data of the first reference battery core and the test data to be evaluated of the battery core to be evaluated. Before comparative analysis, a first reference association relation with respect to a first reference capacitance of a first reference cell in a discharge process of the first reference cell needs to be established. For example, a first correlation of a first reference capacitance of a first reference cell to a first reference voltage of the cell at discharge may be established. In one embodiment, the first reference voltage may be represented by a first reference curve of a first reference capacitor.
By taking a relation curve as an example, after the target curve and the first reference curve are established, the underfill sub-capacity of the target battery cell to be evaluated can be determined by comparing the target curve and the first reference curve. When the comparison is carried out, in order to improve the comparison efficiency, a part of curves at corresponding positions are selected from the target curve and the first reference curve for comparison. The specific comparison process is as follows: and (3) placing the target curve and the first reference curve in the same coordinate system, and matching the target curve by the first reference curve in a translation and scaling mode, namely enabling the first reference curve to be superposed with the target curve through translation and scaling. When the first reference curve coincides with the target curve, a division point of the target curve and the first reference curve may be determined, and coordinates of this division point are division values. The division value is represented by a first reference capacitor and a first reference voltage, and the difference value of the capacity of the battery cell to be evaluated and the capacity of the first reference battery cell can be determined through the division value, wherein the difference value is the underfill sub-capacity of the battery cell to be evaluated.
For unreleased daughter capacity: according to the method and the device, the unreleased sub-capacity of the electric core to be evaluated is calculated according to the comparison and analysis of the second reference test data of the second reference electric core and the to-be-evaluated test data of the electric core to be evaluated. Before comparative analysis, a second reference incidence relation of a second reference capacitance of a second reference cell in a discharging process of the second reference cell needs to be established. For example, a second correlation of a second reference capacitance of a second reference cell to a second reference voltage of the cell at the time of discharge may be established. In one embodiment, a second reference curve of a second reference capacitor and a second reference voltage may be used.
By taking a relation curve as an example, after the target curve and the second reference curve are established, the unreleased sub-capacity of the target battery cell to be evaluated can be determined by comparing the target curve and the second reference curve. When the comparison is carried out, in order to improve the comparison efficiency, a part of curves at corresponding positions are selected from the target curve and the second reference curve for comparison. The specific comparison process is as follows: and (3) placing the target curve and the second reference curve in the same coordinate system, and matching the target curve by the second reference curve in a translation and scaling mode, namely enabling the second reference curve to be superposed with the target curve through translation and scaling. When the second reference curve coincides with the target curve, a division point of the target curve and the second reference curve may be determined, and coordinates of this division point are division values. The division value is represented by a second reference capacitor and a second reference voltage, and the difference value between the capacity of the battery cell to be evaluated and the capacity of the second reference battery cell can be determined through the division value, wherein the difference value is the unreleased sub-capacity of the battery cell to be evaluated.
In this embodiment, as an optional embodiment, from the beginning of the discharging time of the target battery module 2/3 to the end of the discharging, the discharging capacity in the process of calculating the battery cell a is:
Figure BDA0003446929020000131
where t1(1) is the discharge time at the target battery module 2/3, t1(m) is the end discharge time, Qa,dch(i) Corresponding to the discharge accumulated capacity of the battery cell a at the discharge time t1(i), and simultaneously recording the voltage of the battery cell a as follows:
Va(i),i=1,2,...,m
and translating and scaling the cell q voltage curve to match the voltage curve of the cell a. Assuming that the discharge capacity capable of being translated is Qr and the discharge capacity proportionality coefficient capable of being scaled is Kr, the discharge capacity after translation is obtained according to the discharge capacity and the voltage of the battery cell q:
Qq1,dch(i)=Qq,dch(i)+Qr,i=1,2,...,m
and finding the voltage of the corresponding battery cell under the discharge capacity according to a linear interpolation method:
Vq1(i),i=1,2,...,m
scaled discharge capacity:
Qq2dch(i)=Kr·(Qqdch(i)-Qq1dch(1)),i=1,2,...,m
voltage of the corresponding cell at this discharge capacity:
Vq2=Vq1
with Qq2,dchAs the abscissa, Vq2Calculating the coordinate Q of the cell in the vertical coordinate according to a linear interpolation methoda,dchVoltage V atfit
According to the linear interpolation formula:
Figure BDA0003446929020000141
in the interpolation formula, x0 x1 y0 y1The x is the abscissa and ordinate of the new data under the known data, and the y is the to-be-evaluated value of the new data.
Thus, the capacity Q of the fitting target is obtaineda,dchAnd voltage VaCapacity Q to be matchedq2,dchAnd voltage Vfit
The above translation and zoom are performed based on preset target adjustment parameters (target translation parameter and target zoom parameter). In the present application, the target translation parameter and the target scaling parameter are determined as follows:
establishing an error function by taking the translation parameter and the scaling parameter as optimization variables;
solving to obtain a target translation parameter and a target scaling parameter by using the following algorithm to solve the error minimum value of the error function; wherein, the solving process of the algorithm comprises the following steps:
initializing a population, and randomly generating initial population individuals; the initial population individuals correspond to a gene string, and the gene string is composed of translation parameters and scaling parameter codes;
screening target initial population individuals with the best fitness from the initial population individuals;
copying and crossing the target initial population individuals to form a new generation population, taking the new generation population as a new initial population individual, returning to the step of screening out the target initial population individual with the best fitness from the initial population individuals until a preset condition is met, and obtaining an optimal target initial population individual; and the translation parameter and the scaling parameter corresponding to the optimal target initial population are the target translation parameter and the target scaling parameter.
In the embodiment of the present application, as an optional embodiment, the translational discharge capacity Q is setrAnd scaled discharge capacity proportionality coefficient KrTo optimize the variables to fit the target voltage VaAnd voltage V to be matchedfitRoot mean square asError criteria, then the error function is:
Figure BDA0003446929020000151
the target optimization model is y ═ min (f).
Solving a genetic algorithm: the genetic algorithm firstly carries out binary coding on an initial population, and converts a final objective solving function into an expression form of gene quality through a form; and then determining and setting a target fitness function, finding out the individual with the best fitness through initial population initialization, carrying out crossing and variation, continuously selecting the individual with the best fitness through several population changes, carrying out crossing and variation operations until specific conditions are met, and finally obtaining the approximate optimal solution of the optimization problem. Meanwhile, in order to avoid the situation that the solution problem falls into the local optimal solution, the initial population and the evolution iteration number are required to meet the common requirements when the genetic algorithm is set, the maximum iteration number is set to be 100, and the population size is set to be 100.
And S104, determining the whole capacity of the battery cell to be evaluated according to each sub-capacity included in the battery cell to be evaluated in the charge state use range of the target battery module.
After each sub-capacity (the unfilled sub-capacity, the discharged sub-capacity and the unreleased sub-capacity) included in the electric core to be evaluated is obtained through the steps, the unfilled sub-capacity, the discharged sub-capacity and the unreleased sub-capacity are added to obtain the whole capacity of the electric core to be evaluated.
Fig. 3 is a schematic structural diagram of an apparatus for battery capacity evaluation provided in an embodiment of the present application, where the apparatus includes:
the acquisition module is used for acquiring test data of a plurality of battery cores included by the target battery module when the target battery module is subjected to the cycle test;
the selection module is used for selecting a battery cell to be evaluated from a plurality of battery cells included in the target battery module and selecting a reference battery cell with different sub-capacities included in the battery cell to be evaluated within the charge state use range of the target battery module;
the comparison analysis module is used for determining each sub-capacity included in the electric core to be evaluated in the charge state use range of the target battery module based on the comparison analysis of the reference test data of the reference electric core and the to-be-evaluated test data of the electric core to be evaluated in the test data of the plurality of electric cores;
and the determining module is used for determining the whole capacity of the battery cell to be evaluated according to each sub-capacity included in the battery cell to be evaluated in the charge state use range of the target battery module.
The different sub-capacities of the battery cell to be evaluated comprise: an unfilled daughter capacity, a discharged daughter capacity, and an unreleased daughter capacity;
the reference cell includes: when the target battery module starts to discharge, after the first reference battery cell with the highest voltage in the target battery module and the target battery module finish discharging, the second reference battery cell with the lowest voltage in the target battery module.
The comparative analysis module is further configured to: based on the comparative analysis of the reference test data of the reference battery cell in the test data of the plurality of battery cells and the to-be-evaluated test data of the to-be-evaluated battery cell, each sub-capacity included in the to-be-evaluated battery cell in the charge state use range of the target battery module is determined, and the method comprises the following steps:
calculating to obtain the discharge capacity of the battery cell to be evaluated according to the test data to be evaluated of the battery cell to be evaluated;
comparing and analyzing the first reference test data of the first reference battery cell and the to-be-evaluated test data of the battery cell to be evaluated, and calculating to obtain the underfill sub-capacity of the battery cell to be evaluated;
and comparing and analyzing the reference test data of the second reference battery cell and the to-be-evaluated test data of the battery cell to be evaluated, and calculating to obtain the unreleased sub capacity of the battery cell to be evaluated.
Based on the comparative analysis of the reference test data of the reference battery cell in the test data of the plurality of battery cells and the to-be-evaluated test data of the to-be-evaluated battery cell, each sub-capacity included in the to-be-evaluated battery cell in the charge state use range of the target battery module is determined, and the method comprises the following steps:
calculating and analyzing the reference test data of the reference battery cell, and establishing a reference incidence relation of reference capacitance of the reference battery cell in the discharging process;
calculating and analyzing the test data to be evaluated of the battery core to be evaluated, and establishing a target association relation related to the sub-capacity of the battery core to be evaluated in the discharging process;
and comparing and analyzing the reference incidence relation and the target incidence relation, and determining each sub-capacity of the battery cell to be evaluated in the charge state use range of the target battery module.
And comparing and analyzing the reference incidence relation and the target incidence relation, and determining each sub-capacity of the battery cell to be evaluated in the charge state use range of the target battery module, wherein the method comprises the following steps:
adjusting the reference incidence relation according to the adjustment parameters so as to enable the adjusted reference incidence relation to be matched with the target incidence relation;
determining a segmentation value of the reference incidence relation and the target incidence relation by comparing the adjusted reference incidence relation and the adjusted target incidence relation;
and determining each sub-capacity of the battery cell to be evaluated within the charge state use range of the target battery module according to the segmentation value and the target association relation.
The adjustment parameters comprise a target translation parameter and a target scaling parameter; adjusting the reference incidence relation according to the adjustment parameter so as to match the adjusted reference incidence relation with the target incidence relation, and the method comprises the following steps:
translating the reference association relation according to the target translation parameter to obtain the translated reference association relation;
and zooming the translated reference incidence relation according to the target zooming parameters to obtain a reference incidence relation matched with the target incidence relation.
The target translation parameter and the target scaling parameter are obtained by:
establishing an error function by taking the translation parameter and the scaling parameter as optimization variables;
solving to obtain a target translation parameter and a target scaling parameter by using the following algorithm to solve the error minimum value of the error function; wherein, the solving process of the algorithm comprises the following steps:
initializing a population, and randomly generating initial population individuals; the initial population individuals correspond to a gene string, and the gene string is composed of translation parameters and scaling parameter codes;
screening target initial population individuals with the best fitness from the initial population individuals;
copying and crossing the target initial population individuals to form a new generation population, taking the new generation population as a new initial population individual, returning to the step of screening out the target initial population individual with the best fitness from the initial population individuals until a preset condition is met, and obtaining an optimal target initial population individual; and the translation parameter and the scaling parameter corresponding to the optimal target initial population are the target translation parameter and the target scaling parameter.
As shown in fig. 4, an embodiment of the present application provides an electronic device for performing the method for battery capacity estimation in the present application, where the device includes a memory, a processor, a bus, and a computer program stored in the memory and executable on the processor, where the processor implements the steps of the method for battery capacity estimation when executing the computer program.
Specifically, the memory and the processor may be general-purpose memory and processor, which are not limited in particular, and the method for battery capacity estimation can be performed when the processor runs a computer program stored in the memory.
Corresponding to the method for battery capacity estimation in the present application, the present application also provides a computer-readable storage medium, on which a computer program is stored, and the computer program is executed by a processor to perform the steps of the method for battery capacity estimation.
In particular, the storage medium can be a general-purpose storage medium, such as a removable disk, a hard disk, or the like, on which a computer program can be executed to perform the above-described method of battery capacity evaluation.
In the embodiments provided in the present application, it should be understood that the disclosed system and method may be implemented in other ways. The above-described system embodiments are merely illustrative, and for example, the division of the units is only one logical functional division, and there may be other divisions in actual implementation, and for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection of systems or units through some communication interfaces, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments provided in the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit.
The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application or portions thereof that substantially contribute to the prior art may be embodied in the form of a software product stored in a storage medium and including instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.
It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus once an item is defined in one figure, it need not be further defined and explained in subsequent figures, and moreover, the terms "first", "second", "third", etc. are used merely to distinguish one description from another and are not to be construed as indicating or implying relative importance.
Finally, it should be noted that: the above-mentioned embodiments are only specific embodiments of the present application, and are used for illustrating the technical solutions of the present application, but not limiting the same, and the scope of the present application is not limited thereto, and although the present application is described in detail with reference to the foregoing embodiments, those skilled in the art should understand that: any person skilled in the art can modify or easily conceive the technical solutions described in the foregoing embodiments or equivalent substitutes for some technical features within the technical scope disclosed in the present application; such modifications, changes or substitutions do not depart from the spirit and scope of the present disclosure, which should be construed in light of the above teachings. Are intended to be covered by the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.

Claims (10)

1. A method of battery capacity assessment, the method comprising:
the method comprises the steps of obtaining test data of a plurality of battery cores included by a target battery module when the target battery module is subjected to a cycle test;
selecting a battery cell to be evaluated from a plurality of battery cells included in the target battery module, and selecting a reference battery cell which is within the charge state use range of the target battery module and is used for evaluating different sub-capacities included in the battery cell to be evaluated;
determining each sub-capacity included in the to-be-evaluated battery cell within the charge state use range of the target battery module based on comparative analysis of the reference test data of the reference battery cell and the to-be-evaluated test data of the to-be-evaluated battery cell in the test data of the plurality of battery cells;
and determining the overall capacity of the battery cell to be evaluated according to each sub-capacity included in the battery cell to be evaluated in the charge state use range of the target battery module.
2. The method of claim 1, wherein the different sub-capacities of the cells to be evaluated comprise: an unfilled daughter capacity, a discharged daughter capacity, and an unreleased daughter capacity;
the reference cell includes: when the target battery module starts to discharge, the first reference battery cell with the highest voltage in the target battery module and the second reference battery cell with the lowest voltage in the target battery module are discharged after the target battery module is finished.
3. The method of claim 2, wherein the determining that the cell to be evaluated includes each sub-capacity within the usage range of the state of charge of the target battery module based on a comparative analysis of the reference test data of the reference cell and the test data to be evaluated of the test data of the plurality of cells comprises:
calculating to obtain the discharge capacity of the battery cell to be evaluated according to the test data to be evaluated of the battery cell to be evaluated;
comparing and analyzing the first reference test data of the first reference battery cell and the to-be-evaluated test data of the battery cell to be evaluated, and calculating to obtain the underfill sub-capacity of the battery cell to be evaluated;
and comparing and analyzing the reference test data of the second reference battery cell and the to-be-evaluated test data of the battery cell to be evaluated, and calculating to obtain the unreleased sub-capacity of the battery cell to be evaluated.
4. The method of claim 1, wherein the determining that the cell to be evaluated includes each sub-capacity within the usage range of the state of charge of the target battery module based on a comparative analysis of the reference test data of the reference cell and the test data to be evaluated of the test data of the plurality of cells comprises:
calculating and analyzing the reference test data of the reference battery cell, and establishing a reference incidence relation of reference capacitance of the reference battery cell in the discharging process;
calculating and analyzing the test data to be evaluated of the battery core to be evaluated, and establishing a target association relation related to the sub-capacity of the battery core to be evaluated in the discharging process;
and comparing and analyzing the reference incidence relation and the target incidence relation, and determining each sub-capacity of the battery cell to be evaluated within the charge state use range of the target battery module.
5. The method of claim 4, wherein the comparing and analyzing the reference correlation and the target correlation to determine each sub-capacity of the battery cell to be evaluated within the usage range of the state of charge of the target battery module comprises:
adjusting the reference incidence relation according to an adjustment parameter so as to enable the adjusted reference incidence relation to be matched with the target incidence relation;
determining a segmentation value of the reference incidence relation and the target incidence relation by comparing the adjusted reference incidence relation and the adjusted target incidence relation;
and determining each sub-capacity of the battery cell to be evaluated within the charge state use range of the target battery module according to the segmentation value and the target incidence relation.
6. The method of claim 5, wherein the adjustment parameters include a target translation parameter and a target scaling parameter; the adjusting the reference incidence relation according to the adjustment parameter so that the adjusted reference incidence relation is matched with the target incidence relation comprises:
translating the reference incidence relation according to the target translation parameter to obtain the translated reference incidence relation;
and zooming the translated reference incidence relation according to the target zooming parameter to obtain the reference incidence relation matched with the target incidence relation.
7. The method of claim 6, wherein the target translation parameter and the target scaling parameter are obtained by:
establishing an error function by taking the translation parameter and the scaling parameter as optimization variables;
solving the target translation parameter and the target scaling parameter by using the following algorithm to solve the error minimum value of the error function; wherein, the solving process of the algorithm comprises the following steps:
initializing a population, and randomly generating initial population individuals; the initial population individuals correspond to a gene string, and the gene string is composed of translation parameters and scaling parameter codes;
screening out target initial population individuals with the best fitness from the initial population individuals;
copying and crossing the target initial population individuals to form a new generation population, taking the new generation population as a new initial population individual, returning to the step of screening out the target initial population individual with the best fitness from the initial population individuals until a preset condition is met, and obtaining an optimal target initial population individual; and the translation parameter and the scaling parameter corresponding to the optimal target initial population are the target translation parameter and the target scaling parameter.
8. An apparatus for battery capacity assessment, the apparatus comprising:
the acquisition module is used for acquiring test data of a plurality of battery cores included by a target battery module when the target battery module is subjected to a cycle test;
the selection module is used for selecting a battery cell to be evaluated from a plurality of battery cells included in the target battery module and selecting a reference battery cell with different sub-capacities included in the battery cell to be evaluated within the charge state use range of the target battery module;
the comparison analysis module is used for determining each sub-capacity included in the to-be-evaluated battery cell within the charge state use range of the target battery module based on the comparison analysis of the reference test data of the reference battery cell and the to-be-evaluated test data of the to-be-evaluated battery cell in the test data of the plurality of battery cells;
and the determining module is used for determining the whole capacity of the electric core to be evaluated according to each sub-capacity included in the electric core to be evaluated within the charge state use range of the target battery module.
9. An electronic device, comprising: a processor, a memory and a bus, the memory storing machine-readable instructions executable by the processor, the processor and the memory communicating over the bus when the electronic device is operating, the machine-readable instructions when executed by the processor performing the steps of the method of battery capacity assessment according to any of claims 1 to 7.
10. A computer-readable storage medium, in which a computer program is stored which, when being executed by a processor, carries out the steps of the method of battery capacity evaluation according to one of claims 1 to 7.
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