CN112394290B - Method, device, computer equipment and storage medium for estimating SOH of battery pack - Google Patents

Method, device, computer equipment and storage medium for estimating SOH of battery pack Download PDF

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Publication number
CN112394290B
CN112394290B CN201910758183.6A CN201910758183A CN112394290B CN 112394290 B CN112394290 B CN 112394290B CN 201910758183 A CN201910758183 A CN 201910758183A CN 112394290 B CN112394290 B CN 112394290B
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state
preset
cell
battery pack
preset state
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CN112394290A (en
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严丽
周莎
陈斌
张传龙
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Yuyao Haitai Trading Co ltd
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Yuyao Haitai Trading Co ltd
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    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
    • G01R31/392—Determining battery ageing or deterioration, e.g. state of health
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
    • G01R31/3644—Constructional arrangements
    • G01R31/3648—Constructional arrangements comprising digital calculation means, e.g. for performing an algorithm
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
    • G01R31/396—Acquisition or processing of data for testing or for monitoring individual cells or groups of cells within a battery

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  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Charge And Discharge Circuits For Batteries Or The Like (AREA)
  • Secondary Cells (AREA)

Abstract

The application relates to a method, a device, a computer device and a storage medium for estimating SOH of a battery pack, wherein the method comprises the following steps: acquiring monomer state information of each monomer cell when the battery pack is in a first preset state; acquiring accumulated capacitance data of the battery pack in the process from a first preset state to a second preset state, wherein the first preset state is a state before discharging the battery pack, the second preset state is a state after discharging the battery pack or the first preset state is a state before charging the battery pack, and the second preset state is a state after charging the battery pack; extracting monomer state information of a target monomer battery cell in a first preset state to serve as a first state parameter; acquiring monomer state information of the target monomer battery cell in a second preset state, and taking the monomer state information as a second state parameter; and calculating according to the first state parameter, the second state parameter, the preset nominal capacitance and the accumulated capacitance data to obtain the SOH of the battery pack. By adopting the method, the SOH value of the battery pack can be calculated more accurately.

Description

Method, device, computer equipment and storage medium for estimating SOH of battery pack
Technical Field
The present application relates to the field of battery detection technologies, and in particular, to a method, an apparatus, a computer device, and a storage medium for battery pack SOH.
Background
In the long-term use process Of the power battery Of the electric automobile, the capacity, performance and the like Of the battery are continuously attenuated, and the SOH (State Of Health) Of the power battery represents the capacity, the Health degree and the performance State Of the battery, reflects the Health State Of the battery and is also one Of key parameters Of the electric automobile, so that the SOH Of the battery needs to be estimated to know the real-time condition Of the electric automobile.
However, the conventional method for estimating SOH of the battery pack generally refers to the cycle life curve of the battery pack, and searches for the SOH state of the current battery pack according to the cycle number of the current battery pack. The method has the problems that the working condition of the battery pack is irregular in the using process, the cycle life curve of the battery pack is obtained by testing according to a certain working condition, and the different working conditions have great influence on the SOH of the battery pack, so that the finally estimated SOH of the battery pack has larger deviation, and the SOH of the battery pack cannot be accurately estimated.
Disclosure of Invention
Based on this, it is necessary to provide an estimation method, apparatus, computer device and storage medium capable of accurately estimating the SOH of the battery pack, in view of the problem that the SOH estimation method of the battery pack is inaccurate.
A method of estimating SOH of a battery pack, the method comprising the steps of:
Acquiring monomer state information of each monomer cell when the battery pack is in a first preset state;
Acquiring accumulated capacitance data of the battery pack in the process from a first preset state to a second preset state, wherein the first preset state is a state before discharging the battery pack, the second preset state is a state after discharging the battery pack, or the first preset state is a state before charging the battery pack, and the second preset state is a state after charging the battery pack;
acquiring a single cell which meets a preset condition in a second preset state in the battery pack, and taking the single cell as a target single cell;
extracting monomer state information of a target monomer battery cell in a first preset state to serve as a first state parameter;
acquiring monomer state information of the target monomer battery cell in a second preset state, and taking the monomer state information as a second state parameter;
and calculating according to the first state parameter, the second state parameter, the preset nominal capacitance and the accumulated capacitance data to obtain the SOH of the battery pack.
According to the estimation method of the SOH of the battery pack, the parameter change of the target single battery core in the battery pack from the first preset state to the second preset state is searched, specifically, the parameter change of the target single battery core meeting the preset condition before charging to after charging or before discharging to after discharging in the battery pack is searched, then the SOH of the battery pack is calculated according to the parameter change of the target single battery core, so that the calculation of the SOH value of the battery pack is more accurate, the more accurate SOH value is obtained, and therefore effective data support can be improved for the performance estimation of the subsequent electric automobile.
In one embodiment, the monomer status information includes an SOC correction value.
The SOC value of the single battery cell is corrected to obtain the SOC correction value, and then the SOC correction value is included in the single state information, so that the accurate single state information of the single battery cell can be obtained, and errors are effectively eliminated.
In one embodiment, the cell state information includes an SOC correction value and a charge level, and the cell state information of each cell when the battery pack is in the first preset state is collected, which specifically includes the following steps:
Obtaining open-circuit voltage of each single cell;
acquiring an SOC value corresponding to the open-circuit voltage of each single cell according to a preset OCV table, and taking the SOC value as an SOC correction value of each single cell in a first preset state;
and determining the charge level of each single cell in a first preset state according to the SOC correction value.
The SOC correction value of each single battery cell is determined through the preset OCV table, so that the accuracy of the SOC correction value can be ensured, the accurate charge level can be further obtained according to the SOC correction value, and the single state information corresponding to the target single battery cell can be conveniently and directly checked from each single battery cell, so that the calculation accuracy of the SOH value can be ensured when the SOH value of the battery pack is calculated subsequently.
In one embodiment, the obtaining the monomer state information of the target monomer battery cell in the second preset state as the second state parameter specifically includes the following steps:
collecting the open-circuit voltage of a target single cell;
Acquiring an SOC value corresponding to the open-circuit voltage of the target single battery cell in a second preset state according to a preset OCV table, and taking the SOC value as an SOC correction value of the target single battery cell in the second preset state;
And determining the charge level of the target single battery cell in a second preset state according to the SOC correction value of the target single battery cell.
Through SOC correction value and the charge level of target monomer electric core when the second is predetermine the state, can provide more effective data support to through obtaining accurate charge level data, can reduce the influence that charge level brought to cumulative capacitance data, make the SOH value calculation of follow-up battery package more accurate.
In one embodiment, the SOH of the battery pack is obtained by calculating according to the first state parameter, the second state parameter and the accumulated capacitance data, and the method specifically includes the following steps:
acquiring a level difference value of a charge level of the target single battery cell in a second preset state and a charge level of the target single battery cell in a first preset state;
judging whether the level difference exceeds a preset threshold value or not;
if so, calculating according to the SOC correction value of the target single battery cell in the second preset state, the SOC correction value of the target single battery cell in the first preset state, the preset nominal capacity and the accumulated capacity data to obtain the SOH of the battery pack.
The target single battery cell has different charge levels in the first preset state and the second preset state, and the charge level has a certain influence on the accumulated capacitance data, so that the accumulated capacitance data has calculation errors, and the influence of the errors can be eliminated by judging the level difference, so that the accumulated capacitance data is prevented from having calculation errors, and the calculation of the SOH value of the subsequent battery pack has errors, and the calculation accuracy of the SOH value of the battery pack is ensured.
In one embodiment, before collecting the cell state information of each cell in the first preset state of the battery pack, the method further includes the following steps:
Judging whether the battery pack meets a preset OCV correction condition or not;
If yes, the method enters a step of acquiring the monomer state information of each monomer cell when the battery pack is in a first preset state.
Only when the battery pack meets the preset OCV correction condition, the collected monomer state information can be ensured not to have errors, and the accuracy of data is ensured.
In one embodiment, after acquiring the accumulated capacitance data of the battery pack in the process from the first preset state to the second preset state, acquiring the single battery cell meeting the preset condition in the second preset state in the battery pack, and before taking the single battery cell as the target single battery cell, the method further comprises the following steps:
judging whether the battery pack meets a preset correction condition in a second preset state;
If yes, a step of obtaining a single battery cell meeting preset conditions in the battery pack in a second preset state and taking the single battery cell as a target single battery cell is entered.
The preset correction conditions can be various, and different monomer state information of the target single battery cell in the second preset state can be obtained subsequently according to different preset correction conditions, so that the accuracy of data under different preset correction conditions is ensured.
An estimation apparatus of a battery pack SOH, the apparatus comprising:
the information acquisition module is used for acquiring the monomer state information of each monomer cell when the battery pack is in a first preset state;
the electric capacity acquisition module is used for acquiring accumulated electric capacity data of the battery pack in the process from the first preset state to the second preset state;
the battery cell determining module is used for obtaining a single battery cell which meets preset conditions in the battery pack when the battery pack is in a second preset state, and taking the single battery cell as a target single battery cell;
The first parameter determining module is used for extracting monomer state information of the target single battery cell in a first preset state and taking the monomer state information as a first state parameter;
the second parameter determining module is used for acquiring monomer state information of the target single battery cell in a second preset state and taking the monomer state information as a second state parameter;
and the calculation module is used for calculating according to the first state parameter, the second state parameter, the preset nominal capacitance and the accumulated capacitance data to obtain the SOH of the battery pack.
According to the estimation device for the SOH of the battery pack, the parameter change of the target single battery core in the battery pack from the first preset state to the second preset state is searched, specifically, the parameter change of the target single battery core meeting the preset condition before charging to after charging or before discharging to after discharging in the battery pack is searched, then the SOH of the battery pack is calculated according to the parameter change of the target single battery core, so that the calculation of the SOH value of the battery pack is more accurate, the more accurate SOH value is obtained, and therefore effective data support can be improved for the performance estimation of the subsequent electric automobile.
A computer device comprising a memory storing a computer program and a processor implementing the steps of the above method for estimating the SOH of a battery pack when the processor executes the computer program.
According to the computer equipment, the parameter change of the target single battery core in the battery pack from the first preset state to the second preset state is searched, specifically, the parameter change of the target single battery core meeting the preset condition before charging to after charging or before discharging to after discharging in the battery pack is searched, and then the SOH of the battery pack is calculated according to the parameter change of the target single battery core, so that the SOH value of the battery pack is calculated more accurately, the more accurate SOH value is obtained, and therefore effective data support can be improved for performance estimation of a subsequent electric automobile.
A computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements the steps of the above-described method of estimating a battery pack SOH.
According to the computer readable storage medium, the parameter change of the target single battery cell in the battery pack from the first preset state to the second preset state is searched, specifically, the parameter change of the target single battery cell meeting the preset condition before charging to after charging or before discharging to after discharging in the battery pack is searched, and then the SOH of the battery pack is calculated according to the parameter change of the target single battery cell, so that the calculation of the SOH value of the battery pack is more accurate, the more accurate SOH value is obtained, and therefore effective data support can be improved for the performance estimation of the subsequent electric automobile.
Drawings
FIG. 1 is a diagram showing an application environment of a method for estimating SOH of a battery pack according to an embodiment;
FIG. 2 is a flow chart illustrating a method for estimating SOH of a battery pack according to an embodiment;
FIG. 3 is a flow chart illustrating a method for estimating SOH of a battery pack according to an embodiment;
FIG. 4 is a flowchart of another embodiment of a method for estimating SOH of a battery pack;
fig. 5 is a block diagram showing the construction of an estimation device of a battery pack S0H according to an embodiment;
FIG. 6 is a flowchart of a method for estimating SOH of a battery pack in a discharging mode according to one embodiment;
Fig. 7 is a flowchart of a method for estimating SOH of a battery pack in a charging mode according to an embodiment.
Detailed Description
The present application will be described in further detail with reference to the drawings and examples, in order to make the objects, technical solutions and advantages of the present application more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the application.
The battery pack SOH estimation method provided by the application can be applied to an application environment shown in fig. 1. The terminal 101 is connected to a battery pack 103. The terminal 101 may execute a computer program stored therein, and when the computer program is executed, the steps of the method for estimating SOH of the battery pack are implemented, and finally the SOH value of the battery pack is obtained, where the SOH value may be directly displayed by the terminal 101, or the terminal 101 may send the SOH value to a corresponding display device for display.
In one embodiment, as shown in fig. 2, a battery pack SOH estimation method is provided, and the method is applied to the terminal in fig. 1 for illustration, and includes the following steps:
Step S120: and acquiring the monomer state information of each monomer cell when the battery pack is in a first preset state.
Specifically, the terminal may collect the State of a single cell information through a corresponding device, such as an electric quantity detection device, etc., where the State of a single cell information may be a corrected SOC value of a single cell in the battery (SOC is fully called State of Charge, also called residual electric quantity, and represents a ratio of the residual electric quantity of the battery after a period of time or a long-term rest to the electric quantity of the fully charged State of the battery, which is usually represented by a percentage.
It should be noted that, the battery pack is formed by a plurality of battery cells connected in series and parallel, taking the example that three battery cells form the battery pack, in the use process of the battery pack, the performance of the three battery cells may be different, so that the consistency is different, one of the battery cells may be the worst in consistency, the overall performance of the battery pack is affected the most by the battery cell, but because the number of the battery cells of the battery pack is more, before determining which battery cell has the worst consistency, the monomer state information of all the individual monomer battery cells needs to be collected. The collected monomer state information can be stored in the terminal in a corresponding form, for example, the monomer battery cell and the corresponding monomer state information can be stored in a form in a preset form mode, so that subsequent calling is facilitated.
Step S130: and acquiring accumulated capacitance data of the battery pack in the process from the first preset state to the second preset state. The first preset state is a state before discharging the battery pack, the second preset state is a state after discharging the battery pack, or the first preset state is a state before charging the battery pack, and the second preset state is a state after charging the battery pack.
Specifically, when the first preset state is the state before the battery pack is discharged, the second preset state corresponds to the state after the battery pack is discharged, and the accumulated capacitance data represents the accumulated discharge capacity of the battery pack; when the first preset state is the state before the battery pack is charged, the second preset state corresponds to the state after the battery pack is charged, and the accumulated capacitance data represents the accumulated charge of the battery pack.
It should be noted that, if the accumulated capacitance data is an accumulated discharge amount, when the accumulated discharge amount is obtained, the device may automatically control the battery pack to perform discharge, for example, the battery pack is used to supply power to the high-power bulb to perform discharge, so as to obtain the accumulated discharge amount, and correspondingly, when the accumulated capacitance data is an accumulated charge amount, when the accumulated charge amount is obtained, the device may automatically control the battery pack to perform charging, for example, the existing charging pile, so as to obtain the accumulated charge amount.
Step S150: and acquiring a single cell which meets the preset condition in the battery pack when the battery pack is in the second preset state, and taking the single cell as a target single cell.
Specifically, it has been mentioned in step S130 that the second preset state may be a battery pack post-discharge state or a battery pack post-charge state. Therefore, the preset conditions in step S150 may correspond to two different situations according to the difference of the second preset state, and when the second preset state in step S130 is the state after the battery pack is discharged, the preset conditions correspond to the lowest voltage of the single cell, that is, the target single cell is the cell with the lowest voltage in the battery pack at this time; when the second preset state in step S130 is the state after the battery pack is charged, the preset condition is the highest voltage of the single cell, that is, the target single cell is the cell with the highest voltage in the battery pack.
When the preset condition is the lowest voltage of the single cell, namely the target single cell is the cell with the lowest voltage. Correspondingly, when the preset condition is the highest voltage of the single battery, the target single battery cell is the battery cell with the highest voltage, and in either case, the target single battery cell is the battery cell with the worst consistency among all the single battery cells of the battery pack, and the calculation of the SOH value of the battery pack can be more accurate by searching the target single battery cell with the worst consistency, so that the accuracy of data is improved.
It should be noted that, all the single cells in the battery pack can be measured by a voltage measurement device such as a BMS system or software, after the voltages of all the single cells are measured, the cell with the highest voltage and the cell with the lowest voltage can be determined, and the cell with the highest voltage or the cell with the lowest voltage is the target single cell.
Step S160: and extracting monomer state information of the target single battery cell in a first preset state to serve as a first state parameter.
Specifically, the single state information may be an SOC correction value of the single battery cell, and the first preset state may be a state before discharging the battery pack or a state after charging the battery pack. In step S120, the monomer state information of all the monomer cells in the first preset state is obtained, so in step S170, only the target monomer cell needs to be found out from all the monomer cells, and then the monomer state information of the target monomer cell in the first preset state is extracted. For example, when the monomer state information of all the monomer cells in the first preset state in step S120 is stored in the preset table, the terminal may directly find the target monomer cell from the preset table, and then extract the corresponding monomer state information as the first state parameter.
Step S170: and acquiring monomer state information of the target single battery cell in a second preset state, and taking the monomer state information as a second state parameter.
Specifically, the monomer state information may be an SOC correction value of the monomer battery cell, and when the second preset state is a state after the battery pack is discharged, the second state parameter is an SOC correction value of the target monomer battery cell after the battery pack is discharged; when the second preset state is the state after the battery pack is charged, the second state parameter is the SOC correction value of the target single battery cell after the battery pack is charged, wherein the SOC value of the target single battery cell can be collected through the electric quantity detection device and then uploaded to the terminal, in one embodiment, a correction table can be preset, and the SOC value (i.e. the residual electric quantity value) of the target single battery cell collected through the electric quantity detection device is corrected according to the correction table, so that a more accurate SOC correction value is obtained, and the accuracy of subsequently calculating the SOH value is guaranteed.
Step S180: and calculating according to the first state parameter, the second state parameter, the preset nominal capacitance and the accumulated capacitance data to obtain the SOH of the battery pack.
Specifically, the preset nominal capacity is the nominal capacity of the battery pack when the battery pack is newly shipped, and different preset nominal capacities may exist when the battery packs of different types are shipped. It should be noted that, in calculating the battery pack SOH, a calculation formula may be adoptedIn the calculation formula, cdischg represents accumulated capacitance data, SOClow1 represents a second state parameter of the target cell in a second preset state, SOClow0 represents a first state parameter of the target cell in a first preset state, and Cfresh represents a preset nominal capacitance.
According to the estimation method of the SOH of the battery pack, the parameter change of the target single battery core in the battery pack from the first preset state to the second preset state is searched, specifically, the parameter change of the target single battery core meeting the preset condition before charging to after charging or before discharging to after discharging in the battery pack is searched, then the SOH of the battery pack is calculated according to the parameter change of the target single battery core, so that the calculation of the SOH value of the battery pack is more accurate, the more accurate SOH value is obtained, and therefore effective data support can be improved for the performance estimation of the subsequent electric automobile.
In one embodiment, as shown in fig. 3, the monomer state information includes an SOC correction value and a charge level, and in the method, step S120 specifically includes step S121, step S122, and step S123.
Step S121: and obtaining the open-circuit voltage of each single cell. Specifically, the terminal can collect the open-circuit voltage of each single cell through the BMS system, and then obtain the data information of the open-circuit voltage from the BMS system.
Step S122: and acquiring the SOC correction value corresponding to the open-circuit voltage of each single cell according to a preset OCV table, and taking the SOC correction value as the SOC correction value of each single cell in a first preset state. Specifically, the preset OCV table is a relationship between an open-circuit voltage of a single battery cell after standing for 2 hours and a residual electric quantity of the battery cell (the residual electric quantity value of the battery cell is an SOC value of the battery cell), and the preset OCV table can play a role in correcting the SOC value of the battery cell, that is, a corresponding SOC correction value in the preset OCV table is obtained according to the corresponding open-circuit voltage, so that the acquired SOC value of the battery cell is prevented from error, and after obtaining open-circuit voltage data of each single battery cell, the terminal can obtain the SOC correction value corresponding to each single battery cell from the preset OCV table.
Step S123: and determining the charge level of each single cell in a first preset state according to the SOC correction value. Specifically, the SOC correction value of each individual cell may be different, where the charge level may be classified into a low charge level, a medium charge level, and a high charge level, for example, when the SOC correction value of the individual cell is less than or equal to 20%, the individual cell is determined to be the low charge level, when the SOC correction value of the individual cell is between 20% and 80%, the individual cell is determined to be the medium charge level, and when the SOC correction value of the individual cell is greater than or equal to 80%, the individual cell is determined to be the high charge level. It is to be understood that by determining which charge level the single cell is at, the influence of accumulated capacitance data on the calculation of the SOH value can be reduced, and the calculation accuracy of the SOH value can be improved.
The SOC correction value of each single battery cell is determined through the preset OCV table, so that the accuracy of the SOC correction value can be ensured, the accurate charge level can be further obtained according to the SOC correction value, and the single state information corresponding to the target single battery cell can be conveniently and directly checked from each single battery cell, so that the calculation accuracy of the SOH value can be ensured when the SOH value of the battery pack is calculated subsequently.
In one embodiment, as shown in fig. 3, in the method, step S170 specifically includes step S171, step S172, and step S173.
Step S171: and collecting the open-circuit voltage of the target single battery cell. Specifically, after the target single cell is determined, the terminal may directly collect the open-circuit voltage of the target single cell through the BMS system or the like.
Step S172: and acquiring an SOC value corresponding to the open-circuit voltage of the target single battery cell in the second preset state according to the preset OCV table, and taking the SOC value as an SOC correction value of the target single battery cell in the second preset state. The obtaining of the SOC correction value of the target cell is similar to that of each cell in step S122, and will not be described in detail here.
Step S173: and determining the charge level of the target single battery cell in a second preset state according to the SOC correction value of the target single battery cell. The determination of the charge level of the target single cell in the second preset state is similar to step S123, and will not be described in detail herein.
Through the SOC correction value and the charge level of the target single battery cell in the second preset state, more effective data support can be provided, and the influence of the charge level on accumulated capacitance data is reduced, so that SOH value calculation of a subsequent battery pack is more accurate.
In one embodiment, as shown in fig. 3, in the method, step S180 specifically includes step S181, step S182, and step S183.
Step S181: and acquiring a level difference value of the charge level of the target single battery cell in the second preset state and the charge level in the first preset state. Specifically, when the preset charge level of the target single battery cell in the second preset state is a high charge level, and when the preset charge level in the first preset state is a low charge level, the level difference value can be defined as a second level, and correspondingly, the level difference value can also be a first level or a zero level.
Step S182: and judging whether the grade difference value exceeds a preset threshold value. Specifically, the preset threshold may be defined as a first level, and when the level difference is a second level, the preset threshold is exceeded.
Step S183: if so, calculating according to the SOC correction value of the target single battery cell in the second preset state, the SOC correction value of the target single battery cell in the first preset state, the preset nominal capacity and the accumulated capacity data to obtain the SOH of the battery pack.
Through the SOC correction value and the charge level of the target single battery cell in the second preset state, more effective data support can be provided, and the influence of the charge level on accumulated capacitance data is reduced, so that SOH value calculation of a subsequent battery pack is more accurate.
In one embodiment, as shown in fig. 4, the method further includes step S110 before step S120.
Step S110: and judging whether the battery pack meets the preset OCV correction condition, if so, going to step S120.
Specifically, the preset OCV correction condition may be that the battery pack is left standing for two hours, and if the battery pack does not meet the condition of standing for two hours, the SOC correction value obtained by the preset OCV table is prone to error.
Only when the battery pack meets the preset OCV correction condition, the collected monomer state information can be ensured not to have errors, and the accuracy of data is ensured.
In one embodiment, as shown in fig. 4, after step S130, before step S150, the method further comprises step S140.
Step S140: judging whether the battery pack meets a preset correction condition in a second preset state; if yes, go to step 150. Specifically, the preset correction condition may be a preset OCV correction condition or a full charge correction condition, when the second preset state is a battery pack post-discharge state, the preset correction condition includes a preset OCV correction condition or a full charge correction condition, and when the second preset state is a battery pack post-charge state, the preset correction condition includes a preset OCV correction condition or a full charge correction condition.
Wherein, the preset OCV correction condition can be that the battery pack stands for two hours; the full-discharge correction condition may be that when discharging, the voltage of the single cell with the lowest voltage (i.e. the target single cell) reaches the lower limit of the use of the voltage of the cell, the SOC of the battery pack is directly corrected to 0%; the full charge correction condition may be that when the voltage of the cell with the highest voltage (i.e., the target cell) reaches the upper limit of the cell voltage during charging, the SOC of the battery pack is directly corrected to 100%.
It should be noted that, when the second preset state is the state after the battery pack is discharged, in step S160, the cell state information of the target cell in the second preset state may be the SOC correction value, and if the battery pack meets the full-discharge correction condition in the previous step S150, the SOC correction value of the cell with the lowest voltage (i.e., the target cell) at this time is 0%; when the second preset state is the state after the battery pack is charged, if the battery pack meets the full charge correction condition in step S150, the SOC correction value of the cell with the highest voltage (i.e., the target cell) is 100%.
The preset correction conditions can be various, and different monomer state information of the target single battery cell in the second preset state can be obtained subsequently according to different preset correction conditions, so that the accuracy of data under different preset correction conditions is ensured.
It should be understood that, although the steps in the flowcharts of fig. 2-4 are shown in order as indicated by the arrows, these steps are not necessarily performed in order as indicated by the arrows. The steps are not strictly limited to the order of execution unless explicitly recited herein, and the steps may be executed in other orders. Moreover, at least some of the steps in fig. 2-4 may include multiple sub-steps or stages that are not necessarily performed at the same time, but may be performed at different times, nor do the order in which the sub-steps or stages are performed necessarily occur sequentially, but may be performed alternately or alternately with at least a portion of the sub-steps or stages of other steps or steps.
In one embodiment, as shown in fig. 5, there is provided an estimation apparatus of a battery pack SOH, which includes an information acquisition module 120, a capacity acquisition module 130, a cell determination module 150, a first parameter determination module 160, a second parameter determination module 170, and a calculation module 180.
The information collection module 120 is configured to collect the cell state information of each cell when the battery pack is in the first preset state.
The capacitance acquisition module 130 is configured to acquire accumulated capacitance data during a process from a first preset state to a second preset state of the battery pack.
The cell determining module 150 is configured to obtain a single cell in the battery pack that satisfies a preset condition when the battery pack is in the second preset state, and take the single cell as a target single cell.
The first parameter determining module 160 is configured to extract, as a first state parameter, monomer state information of the target monomer cell in a first preset state.
The second parameter determining module 170 is configured to obtain, as a second state parameter, the cell state information of the target cell in a second preset state.
The calculation module 180 is configured to calculate SOH of the battery pack according to the first state parameter, the second state parameter, the preset nominal capacity, and the accumulated capacity data.
In one embodiment, in the apparatus, the information acquisition module 120 specifically includes a cell voltage acquisition unit, a cell SOC value determination unit, and a cell charge level determination unit.
The single cell voltage acquisition unit is used for acquiring the open-circuit voltage of each single cell.
The single-cell SOC value determining unit is used for obtaining the SOC value corresponding to the open-circuit voltage of each single cell according to the preset OCV table and taking the SOC value as the SOC correction value of each single cell in the first preset state.
The single cell charge level determining unit is used for determining the charge level of each single cell in a first preset state according to the SOC correction value.
In one embodiment, in the apparatus, the second parameter determining module 170 specifically includes a target cell voltage obtaining unit, a target cell SOC value determining unit, and a target cell charge level determining unit.
The target cell voltage acquisition unit is used for acquiring the open-circuit voltage of the target single cell.
The target cell SOC value determining unit is used for obtaining an SOC value corresponding to the open-circuit voltage of the target cell in a second preset state according to the preset OCV table, and the SOC value is used as an SOC correction value of the target cell in the second preset state.
The target cell charge level determining unit is used for determining the charge level of the target cell in a second preset state according to the SOC correction value of the target cell.
In one embodiment, in the apparatus, the calculation module 180 specifically includes a difference acquisition unit, a difference judgment unit, and a confirmation calculation unit.
The difference value acquisition unit is used for acquiring the level difference value of the charge level of the target single battery cell in the second preset state and the charge level in the first preset state.
The difference judging unit is used for judging whether the grade difference exceeds a preset threshold value.
And the confirmation calculating unit is used for calculating according to the SOC correction value of the target single battery cell in the second preset state, the SOC correction value of the target single battery cell in the first preset state, the preset nominal capacitance and the accumulated capacitance data when the grade difference value exceeds the preset threshold value, so as to obtain the SOH of the battery pack.
In an embodiment, before the information collecting module 120 is configured to collect the monomer state information of each monomer cell when the battery pack is in the first preset state, the apparatus further includes a condition determining module configured to determine whether the battery pack meets the preset OCV correction condition, and when the battery pack meets the preset OCV correction condition, the apparatus goes to the information collecting module 120 to perform collection of the monomer state information of each monomer cell when the battery pack is in the first preset state.
In an embodiment, after the capacitance obtaining module 130 is configured to obtain the accumulated capacitance data of the battery pack in the process from the first preset state to the second preset state, the cell determining module 150 is configured to obtain a single cell in the battery pack that satisfies the preset condition when the battery pack is in the second preset state, and before taking the single cell as the target single cell, the apparatus further includes a condition detecting module configured to determine whether the battery pack satisfies the preset correction condition when the battery pack is in the second preset state, if yes, the apparatus is transferred to the cell determining module 150 to execute obtaining the single cell in the battery pack that satisfies the preset condition when the battery pack is in the second preset state, and taking the single cell as the target single cell.
For specific limitations of the estimation device of the battery pack SOH, reference may be made to the above limitations of the estimation method of the battery pack SOH, and the description thereof will not be repeated. The respective modules in the above-described estimation device of the battery pack SOH may be implemented in whole or in part by software, hardware, and combinations thereof. The above modules may be embedded in hardware or may be independent of a processor in the computer device, or may be stored in software in a memory in the computer device, so that the processor may call and execute operations corresponding to the above modules.
According to the estimation device for the SOH of the battery pack, the parameter change of the target single battery core in the battery pack from the first preset state to the second preset state is searched, specifically, the parameter change of the target single battery core meeting the preset condition before charging to after charging or before discharging to after discharging in the battery pack is searched, then the SOH of the battery pack is calculated according to the parameter change of the target single battery core, so that the calculation of the SOH value of the battery pack is more accurate, the more accurate SOH value is obtained, and therefore effective data support can be improved for the performance estimation of the subsequent electric automobile.
In one embodiment, a computer device is provided comprising a memory storing a computer program and a processor that when executing the computer program performs the steps of: acquiring monomer state information of each monomer cell when the battery pack is in a first preset state; acquiring accumulated capacitance data of the battery pack in the process from a first preset state to a second preset state; extracting monomer state information of a target monomer battery cell in a first preset state to serve as a first state parameter; acquiring monomer state information of the target monomer battery cell in a second preset state, and taking the monomer state information as a second state parameter; and calculating according to the first state parameter, the second state parameter, the preset nominal capacitance and the accumulated capacitance data to obtain the SOH of the battery pack.
In one embodiment, the monomer state information includes an SOC correction value and a charge level; the processor when executing the computer program also implements the steps of: obtaining open-circuit voltage of each single cell; acquiring an SOC value corresponding to the open-circuit voltage of each single cell according to a preset OCV table, and taking the SOC value as an SOC correction value of each single cell in a first preset state; and determining the charge level of each single cell in a first preset state according to the SOC correction value.
In one embodiment, the processor when executing the computer program further performs the steps of: collecting the open-circuit voltage of a target single cell; acquiring an SOC value corresponding to the open-circuit voltage of the target single battery cell in a second preset state according to a preset OCV table, and taking the SOC value as an SOC correction value of the target single battery cell in the second preset state; and determining the charge level of the target single battery cell in a second preset state according to the SOC correction value of the target single battery cell.
In one embodiment, the processor when executing the computer program further performs the steps of: acquiring a level difference value of a charge level of the target single battery cell in a second preset state and a charge level of the target single battery cell in a first preset state; judging whether the level difference exceeds a preset threshold value or not; if so, calculating according to the SOC correction value of the target single battery cell in the second preset state, the SOC correction value of the target single battery cell in the first preset state, the preset nominal capacity and the accumulated capacity data to obtain the SOH of the battery pack.
In one embodiment, the processor when executing the computer program further performs the steps of: judging whether the battery pack meets a preset OCV correction condition or not; if yes, the method enters a step of acquiring the monomer state information of each monomer cell when the battery pack is in a first preset state.
In one embodiment, the processor when executing the computer program further performs the steps of: judging whether the battery pack meets a preset correction condition in a second preset state; if yes, a step of obtaining a single battery cell meeting preset conditions in the battery pack in a second preset state and taking the single battery cell as a target single battery cell is entered.
In one embodiment, a computer readable storage medium is provided having a computer program stored thereon, which when executed by a processor, performs the steps of: acquiring monomer state information of each monomer cell when the battery pack is in a first preset state; acquiring accumulated capacitance data of the battery pack in the process from a first preset state to a second preset state; extracting monomer state information of a target monomer battery cell in a first preset state to serve as a first state parameter; acquiring monomer state information of the target monomer battery cell in a second preset state, and taking the monomer state information as a second state parameter; and calculating according to the first state parameter, the second state parameter, the preset nominal capacitance and the accumulated capacitance data to obtain the SOH of the battery pack.
In one embodiment, the monomer state information includes an SOC correction value and a charge level; the computer program when executed by the processor also performs the steps of: obtaining open-circuit voltage of each single cell; acquiring an SOC value corresponding to the open-circuit voltage of each single cell according to a preset OCV table, and taking the SOC value as an SOC correction value of each single cell in a first preset state; and determining the charge level of each single cell in a first preset state according to the SOC correction value.
In one embodiment, the computer program when executed by the processor further performs the steps of: collecting the open-circuit voltage of a target single cell; acquiring an SOC value corresponding to the open-circuit voltage of the target single battery cell in a second preset state according to a preset OCV table, and taking the SOC value as an SOC correction value of the target single battery cell in the second preset state; and determining the charge level of the target single battery cell in a second preset state according to the SOC correction value of the target single battery cell.
In one embodiment, the computer program when executed by the processor further performs the steps of: acquiring a level difference value of a charge level of the target single battery cell in a second preset state and a charge level of the target single battery cell in a first preset state; judging whether the level difference exceeds a preset threshold value or not; if so, calculating according to the SOC correction value of the target single battery cell in the second preset state, the SOC correction value of the target single battery cell in the first preset state, the preset nominal capacity and the accumulated capacity data to obtain the SOH of the battery pack.
In one embodiment, the computer program when executed by the processor further performs the steps of: judging whether the battery pack meets a preset OCV correction condition or not; if yes, the method enters a step of acquiring the monomer state information of each monomer cell when the battery pack is in a first preset state.
In one embodiment, the computer program when executed by the processor further performs the steps of: judging whether the battery pack meets a preset correction condition in a second preset state; if yes, a step of obtaining a single battery cell meeting preset conditions in the battery pack in a second preset state and taking the single battery cell as a target single battery cell is entered.
In order to more fully explain the present application, as shown in fig. 6, a flowchart of a method for estimating the SOH of the battery pack in the discharging mode is provided.
In fig. 6, it is first necessary to determine whether the battery pack satisfies the 0CV correction, wherein the OCV correction is an open circuit voltage correction, and the OCV table is a relationship between the open circuit voltage after the cell is left to stand for 2 hours (calibration value) and the remaining capacity of the cell. If the OCV correction is satisfied, a subsequent step can be performed, and if the OCV correction is not satisfied, the SOH calculation flow is directly ended.
After the OCV correction is satisfied, the SOC0i of each cell can be calculated. The open circuit voltage of each battery cell can be collected according to the BMS system, and then the SOC value of each battery cell is obtained by correcting according to the open circuit voltage corresponding to the OCV table, and SOC0i represents the SOC value of the ith single battery cell, for example, the SOC value of the first single battery cell is SOC01.
Then, the State of charge State0i of each cell is obtained from the SOC 0i. When the SOC of the battery cell is less than or equal to 20%, the State of charge State of the battery cell is defined as a low State of charge; when the SOC of the battery cell is more than or equal to 80%, the State of charge State of the battery cell is a high State of charge; when the SOC of the battery cell is between 20% and 80%, the State of charge State of the battery cell is a medium State of charge. For example, the first single cell SOC01 is 0.2, its State of charge State01 is low.
Then, the discharge of the battery pack is started, and the accumulated discharge amount data Cdischg of the battery pack is obtained in this process.
Then, whether the battery pack meets the OCV correction condition or the full-discharge correction condition needs to be judged, if yes, the follow-up steps can be carried out, and if not, the SOH calculation flow is directly ended. The full discharge correction means that when the battery cell voltage reaches the lower limit of the battery cell voltage, the SOC of the battery pack is directly corrected to 0%.
Then, if the battery pack satisfies the full-charge correction condition, the SOC value of the lowest voltage cell (indicated by SOClow1 later) is 0%, and if the battery pack satisfies the OCV correction, the corresponding correction value is obtained as SOClow by presetting an OCV table according to the voltage of the lowest voltage cell.
Thereafter, the state of charge Statelow1 of the lowest voltage cell is determined according to SOClow of the lowest voltage cell, for example, the state of charge Statelow1 of the lowest voltage cell may be a low state of charge.
Then, the state of charge Statelow of the lowest-voltage single cell before discharging and the state of SOC SOClow0 before discharging are checked.
And then judging whether the state of charge Statelow before discharging and the state of charge Statelow1 after discharging of the single battery cell with the lowest voltage meet the condition that the high state of charge jumps to the low state of charge, if so, carrying out the subsequent steps, and if not, directly ending the SOH calculation flow. In the whole discharging process, due to the problems of current sampling precision and the like, the accumulated discharging capacity Cdischg has a certain calculating error, and in order to reduce the influence of the accumulated discharging capacity Cdischg on SOH calculation, a limit of state jump is added. The span of discharge from high state of charge to low state of charge may reduce the impact of accumulated discharge Cdischg on SOH calculation.
Finally, SOH of the battery pack is calculated according to a calculation formula,Wherein Cfresh is the fresh capacity, i.e., the nominal capacity of the battery when it is shipped from the factory.
As shown in fig. 7, a flowchart of a method for estimating the SOH of the battery pack in the charge mode is provided.
In fig. 7, it is first necessary to determine whether the battery pack satisfies the 0CV correction, wherein the OCV correction is an open circuit voltage correction, and the OCV table is a relationship between the open circuit voltage after the cell is left to stand for 2 hours (calibration value) and the remaining capacity of the cell. If the OCV correction is satisfied, a subsequent step can be performed, and if the OCV correction is not satisfied, the SOH calculation flow is directly ended.
After the OCV correction is satisfied, the SOC0i of each cell can be calculated. The open circuit voltage of each battery cell can be collected according to the BMS system, and then the SOC value of each battery cell is obtained by correcting according to the open circuit voltage corresponding to the OCV table, and SOC0i represents the SOC value of the ith single battery cell, for example, the SOC value of the first single battery cell is SOC01.
Then, the State of charge State0i of each cell is obtained from the SOC 0i. When the SOC of the battery cell is less than or equal to 20%, the State of charge State of the battery cell is defined as a low State of charge; when the SOC of the battery cell is more than or equal to 80%, the State of charge State of the battery cell is a high State of charge; when the SOC of the battery cell is between 20% and 80%, the State of charge State of the battery cell is a medium State of charge. For example, the first single cell SOC01 is 0.8, and its State of charge State01 is high.
Then, the charging of the battery pack is started, and the accumulated charge amount data Cchg of the battery pack is obtained in this process.
Then, whether the battery pack meets the OCV correction condition or the full charge correction condition needs to be judged, if yes, the follow-up steps can be carried out, and if not, the SOH calculation flow is directly ended. The full charge correction is to directly correct the SOC of the battery pack to 100% when the highest single cell voltage reaches the upper limit of the cell voltage during charging.
Then, if the battery pack meets the full charge correction condition, the SOC value of the cell with the highest voltage (indicated by SOChigh1 in the following) is 100%, and if the battery pack meets the OCV correction, the corresponding correction value is obtained as SOChigh by presetting an OCV table according to the voltage of the cell with the highest voltage.
Thereafter, the state of charge STATEHIGH of the highest voltage cell is determined according to SOChigh of the highest voltage cell, for example, the state of charge STATEHIGH of the highest voltage cell may be a high state of charge.
Then, the state of charge STATEHIGH of the highest-voltage single cell before charging and the state of SOC SOChigh before charging are checked again.
And then judging whether the state of charge STATEHIGH before the charging of the single battery cell with the highest voltage and the state of charge STATEHIGH1 after the charging meet the condition that the state of charge jumps from a low state of charge to a high state of charge, if so, carrying out the subsequent steps, and if not, directly ending the SOH calculation flow. In the whole charging process, due to the problems of current sampling precision and the like, the accumulated charging capacity Cchg has a certain calculation error, and in order to reduce the influence of the accumulated charging amount Cchg on SOH calculation, a limit of state jump is added. The span of charging from a low state of charge to a high state of charge may reduce the impact of the accumulated charge Cchg on SOH calculation.
Finally, SOH of the battery pack is calculated according to a calculation formula,Wherein Cfresh is the fresh capacity, i.e., the nominal capacity of the battery when it is shipped from the factory.
The technical features of the above embodiments may be arbitrarily combined, and all possible combinations of the technical features in the above embodiments are not described for brevity of description, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the description.
The above examples illustrate only a few embodiments of the application, which are described in detail and are not to be construed as limiting the scope of the application. It should be noted that it will be apparent to those skilled in the art that several variations and modifications can be made without departing from the spirit of the application, which are all within the scope of the application. Accordingly, the scope of protection of the present application is to be determined by the appended claims.

Claims (10)

1. A method of estimating SOH of a battery pack, the method comprising the steps of:
Obtaining open-circuit voltage of each single cell;
acquiring an SOC value corresponding to the open-circuit voltage of each single battery cell according to a preset OCV table, and taking the SOC value as an SOC correction value of each single battery cell in a first preset state;
according to the SOC correction value, determining the charge level of each single cell in a first preset state;
Acquiring accumulated capacitance data of a battery pack in the process from a first preset state to a second preset state, wherein the first preset state is a state before discharging the battery pack, the second preset state is a state after discharging the battery pack, or the first preset state is a state before charging the battery pack, and the second preset state is a state after charging the battery pack;
Acquiring a single cell which meets preset conditions in a battery pack in a second preset state, taking the single cell as a target single cell, wherein the preset conditions are the minimum single cell voltage when the second preset state is a battery pack discharging state, the preset conditions are the maximum single cell voltage when the second preset state is a battery pack charging state, and the target single cell is the single cell with the worst consistency;
extracting monomer state information of the target single battery cell in a first preset state to serve as a first state parameter;
collecting the open-circuit voltage of a target single cell;
Acquiring an SOC value corresponding to the open-circuit voltage of the target single battery cell in a second preset state according to the preset OCV table, and taking the SOC value as an SOC correction value of the target single battery cell in the second preset state;
Determining the charge level of the target single battery cell in a second preset state according to the SOC correction value of the target single battery cell;
Acquiring a level difference value of the charge level of the target single battery cell in a second preset state and the charge level of the target single battery cell in a first preset state;
Judging whether the grade difference value exceeds a preset threshold value or not;
If yes, calculating according to the SOC correction value of the target single battery cell in the second preset state, the SOC correction value of the target single battery cell in the first preset state, the preset nominal capacitance and the accumulated capacitance data, and calculating according to a calculation formula:
；
and obtaining the SOH of the battery pack, wherein Cdischg in the formula represents accumulated capacitance data, SOClow1 represents a second state parameter of the target single battery cell in a second preset state, SOClow0 represents a first state parameter of the target single battery cell in a first preset state, and Cfresh represents a preset nominal capacitance.
2. The method of claim 1, wherein the monomer status information includes an SOC correction value.
3. The method of claim 1, wherein before collecting the cell state information of each cell in the first preset state of the battery pack, further comprising the steps of:
Judging whether the battery pack meets a preset OCV correction condition or not;
If yes, the method enters a step of acquiring the monomer state information of each monomer cell when the battery pack is in a first preset state.
4. The method according to claim 1, wherein after the acquiring the accumulated capacitance data of the battery pack from the first preset state to the second preset state, acquiring the single cell in the battery pack, which meets the preset condition in the second preset state, and taking the single cell as the target single cell, the method further comprises the following steps:
judging whether the battery pack meets a preset correction condition in a second preset state;
if yes, a step of obtaining a single battery cell meeting preset conditions in the battery pack in a second preset state and taking the single battery cell as a target single battery cell is carried out.
5. An estimation apparatus of a battery pack SOH, the apparatus comprising:
the information acquisition module is used for acquiring the open-circuit voltage of each single cell; acquiring an SOC value corresponding to the open-circuit voltage of each single battery cell according to a preset OCV table, and taking the SOC value as an SOC correction value of each single battery cell in a first preset state; according to the SOC correction value, determining the charge level of each single cell in a first preset state;
the electric capacity acquisition module is used for acquiring accumulated electric capacity data of the battery pack in the process from the first preset state to the second preset state;
The battery cell determining module is used for obtaining a single battery cell which meets preset conditions in the battery pack when the battery pack is in a second preset state, wherein the single battery cell is used as a target single battery cell, the preset conditions are the minimum single voltage when the second preset state is a battery pack discharging state, and the preset conditions are the maximum single voltage when the second preset state is a battery pack charging state;
The first parameter determining module is used for extracting monomer state information of the target single battery cell in a first preset state and taking the monomer state information as a first state parameter;
The second parameter determining module is used for collecting the open-circuit voltage of the target single battery cell; acquiring an SOC value corresponding to the open-circuit voltage of the target single battery cell in a second preset state according to the preset OCV table, and taking the SOC value as an SOC correction value of the target single battery cell in the second preset state; determining the charge level of the target single battery cell in a second preset state according to the SOC correction value of the target single battery cell;
The calculation module is used for obtaining a grade difference value of the charge grade of the target single battery cell in the second preset state and the charge grade in the first preset state; judging whether the grade difference value exceeds a preset threshold value or not; if yes, calculating according to the SOC correction value of the target single battery cell in the second preset state, the SOC correction value of the target single battery cell in the first preset state, the preset nominal capacitance and the accumulated capacitance data, and calculating according to a calculation formula:
；
and obtaining the SOH of the battery pack, wherein Cdischg in the formula represents accumulated capacitance data, SOClow1 represents a second state parameter of the target single battery cell in a second preset state, SOClow0 represents a first state parameter of the target single battery cell in a first preset state, and Cfresh represents a preset nominal capacitance.
6. The apparatus of claim 5, wherein the monomer status information includes an SOC correction value.
7. The apparatus of claim 5, further comprising a condition judgment module configured to: judging whether the battery pack meets a preset OCV correction condition or not; if yes, the step of the information acquisition module executing the step of acquiring the monomer state information of each monomer cell when the battery pack is in the first preset state is transferred to.
8. The apparatus of claim 5, further comprising a condition detection module to: judging whether the battery pack meets a preset correction condition in a second preset state;
If yes, the step of transferring to the battery cell determining module to execute the step of acquiring the single battery cell meeting the preset condition in the battery pack when the battery pack is in the second preset state, and taking the single battery cell as the target single battery cell.
9. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor implements the steps of the method of any of claims 1 to 4 when the computer program is executed.
10. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the method of any of claims 1 to 4.
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