Method and device for detecting lithium precipitation of battery, electronic equipment and storage medium

By acquiring the dynamic voltage at the end of battery charging and the static voltage at the end of discharge, the difference in charging and discharging speeds of individual battery cells is identified, and a lithium plating warning signal is generated. This solves the problem of large errors in battery lithium plating detection results and achieves efficient and accurate lithium plating detection.

CN115825770BActive Publication Date: 2025-12-16BEIJING CHJ AUTOMOTIVE TECH CO LTD
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Patent Information

Application Number
CN202111095169.6
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2021-09-17
Publication Date
2025-12-16
Estimated Expiration
2041-09-17

AI Technical Summary

Technical Problem

In existing technologies, the detection results of lithium plating in batteries have large errors, making it impossible to accurately determine whether lithium plating problems exist after the electric vehicle has finished charging.

Method used

By acquiring the dynamic voltage of a battery cell at the end of charging and the static voltage at the end of discharging, the identification information of the battery cell is determined. The difference between charging and discharging speeds is used to identify lithium-plating cells and generate a lithium plating warning signal.

Benefits of technology

It improves the accuracy of lithium plating detection in batteries, shortens the detection time, simplifies the calculation process, and enhances detection efficiency and accuracy.

✦ Generated by Eureka AI based on patent content.

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Abstract

The present disclosure relates to a method and device for detecting lithium precipitation of a battery, an electronic device and a storage medium. The method comprises: determining a first result according to dynamic voltages of all battery cells in the battery at a charging end time under a target state of charge, the first result including identification information of battery cells corresponding to the N largest dynamic voltages, N being a positive integer less than or equal to the number of battery cells; determining a second result according to static voltages of all battery cells after a target state of discharge ends, the second result including identification information of battery cells corresponding to the M smallest static voltages, M being a positive integer less than or equal to the number of battery cells; and determining a battery cell in which lithium precipitation occurs in the battery according to a target result, the target result including at least one second result and a first result corresponding to each second result. The method can improve the accuracy of the detection result of lithium precipitation of the battery.
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Description

TECHNICAL FIELD

[0001] The present disclosure relates to the technical field of automobiles, and particularly relates to a battery lithium precipitation detection method and device, electronic equipment and storage medium. BACKGROUND

[0002] A method for determining whether lithium precipitation exists by using a relaxation curve after charging is proposed for detecting whether lithium precipitation exists in a battery through a cloud platform. However, the data after charging cannot be obtained because the electric vehicle is in a dormant state after charging is completed, and this method cannot be applied in practice. Therefore, in order to realize the detection of battery lithium precipitation in practice, a method for determining whether lithium precipitation exists in a battery by calculating the battery capacity and according to the decrease of the battery capacity is proposed.

[0003] However, the error of the battery capacity estimation is large, resulting in a large error of the lithium precipitation detection result. SUMMARY

[0004] The present disclosure provides a battery lithium precipitation detection method and device, electronic equipment and storage medium, which can improve the accuracy of the battery lithium precipitation detection result.

[0005] In a first aspect, the present disclosure provides a battery lithium precipitation detection method, comprising:

[0006] determining a first result according to the dynamic voltage of all battery cells in the battery at the charging end time in a target charging state, wherein the first result includes the identification information of the battery cell corresponding to the maximum N dynamic voltage, and N is a positive integer less than or equal to the number of battery cells;

[0007] determining a second result according to the static voltage of all battery cells after the target discharge state ends, wherein the second result includes the identification information of the battery cell corresponding to the minimum M static voltage, and M is a positive integer less than or equal to the number of battery cells;

[0008] determining the battery cell in which lithium precipitation occurs in the battery according to a target result, wherein the target result includes at least one second result and the first result corresponding to each second result.

[0009] Optionally, the target charging state is a charging state in which the state of charge of the battery at the charging end time is greater than a first threshold value, and the target discharge state is a discharge state in which the state of charge of the battery at the discharge end time is less than a second threshold value.

[0010] Optionally, the state of charge includes a first state of charge and a second state of charge.

[0011] The method further comprises, before determining the first result according to the dynamic voltage of all the battery cells in the battery at the end time of charging under the target state of charge, the following steps:

[0012] obtaining the state of charge of the battery and the charging and discharging state of the battery;

[0013] determining the target state of charge according to the first state of charge and the charging state of the battery;

[0014] The method further comprises, before determining the second result according to the static voltage of all the battery cells after the end of the target state of discharge, the following steps:

[0015] determining the target state of discharge according to the second state of charge and the discharging state of the battery.

[0016] Optionally, before determining the target state of charge according to the first state of charge and the charging state of the battery, the method further comprises the following steps:

[0017] determining the maximum state of charge among the states of charge of all the battery cells as the first state of charge; and / or,

[0018] Before determining the target state of discharge according to the second state of charge and the discharging state of the battery, the method comprises the following steps:

[0019] determining the minimum state of charge among the states of charge of all the battery cells as the second state of charge.

[0020] Optionally, the target state of discharge and the target state of charge are two adjacent battery operating states.

[0021] Optionally, the target result comprises one second result and a corresponding first result.

[0022] The method further comprises, before determining the battery cell in which lithium precipitation occurs according to the target result, the following steps:

[0023] If the same identification information is included in the first result and the second result in the target result, it is determined that the battery cell corresponding to the same identification information has lithium precipitation, and a corresponding lithium precipitation warning signal is generated, the lithium precipitation warning signal being used to indicate the battery cell in which lithium precipitation occurs.

[0024] Optionally, the target result comprises at least two target sub-results, and each target sub-result comprises one second result and a corresponding first result.

[0025] The method further comprises, before determining the battery cell in which lithium precipitation occurs according to the target result, the following steps:

[0026] If, in two consecutive sets of target sub-results, all the first results and all the second results include the same identification information, then it is determined that the battery cell corresponding to the same identification information has lithium plating, and a corresponding lithium plating warning signal is generated. The lithium plating warning signal is used to indicate the battery cell that has lithium plating.

[0027] Optionally, before determining the second result based on the static voltage of all battery cells after the target discharge state ends, the method further includes:

[0028] To obtain the voltage of all individual battery cells at the start of discharge in the next discharge state following the target discharge state,

[0029] or,

[0030] Obtain the voltage of all battery cells at the start of charging in the next charging state of the target discharge state;

[0031] The voltage is determined to be the static voltage.

[0032] Optionally, the time difference between the discharge start time and the discharge end time of the target discharge state is greater than a preset time threshold.

[0033] Alternatively, the time difference between the charging start time and the discharge end time of the target discharge state is greater than the preset time threshold.

[0034] Optionally, the preset time threshold is greater than or equal to 1 hour.

[0035] Optionally, the first threshold is greater than or equal to 80% and less than 100%, and the second threshold is less than or equal to 30% and greater than 0.

[0036] Secondly, this disclosure provides a battery lithium plating detection device, comprising:

[0037] The first determining module is used to determine a first result based on the dynamic voltage of all battery cells in the battery at the end of the charging process under the target charging state. The first result includes the identification information of the battery cells corresponding to the N largest dynamic voltages, where N is a positive integer less than or equal to the number of battery cells. The second determining module is used to determine a second result based on the static voltage of all battery cells after the end of the target discharging state. The second result includes the identification information of the battery cells corresponding to the M smallest static voltages, where M is a positive integer less than or equal to the number of battery cells.

[0038] The second determining module is used to determine, based on the target result, the battery cells in the battery in which lithium plating occurs, wherein the target result includes at least one second result and its corresponding first result.

[0039] In a third aspect, the present disclosure provides a system for detecting lithium precipitation of a battery, comprising:

[0040] a vehicle, wherein the battery comprises a plurality of battery cells;

[0041] a voltage collection module, configured to collect dynamic voltages of all battery cells at the end of charging under a target state of charge, and collect static voltages of all battery cells after the end of discharging under a target state of discharge;

[0042] a cloud platform, configured to receive the dynamic voltages and the static voltages of all battery cells collected by the voltage collection module;

[0043] and any one of the detection devices for lithium precipitation of a battery provided in the second aspect.

[0044] In a fourth aspect, the present disclosure provides an electronic device, comprising a processor configured to execute a computer program stored in a memory, wherein the computer program, when executed by the processor, implements the steps of any one of the methods provided in the first aspect.

[0045] In a fifth aspect, the present disclosure provides a computer-readable storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the steps of any one of the methods provided in the first aspect.

[0046] In the technical solutions provided by the present disclosure, the dynamic voltages of all battery cells in the battery at the end of charging under a target state of charge are used to determine a first result, wherein the first result comprises identification information of battery cells corresponding to the N largest dynamic voltages, N is a positive integer less than or equal to the number of battery cells, the larger the dynamic voltage, the faster the charging speed of the corresponding battery cell, and the more likely the lithium precipitation; the static voltages of all battery cells after the end of discharging under a target state of discharge are used to determine a second result, wherein the second result comprises identification information of battery cells corresponding to the M smallest static voltages, M is a positive integer less than or equal to the number of battery cells, the smaller the static voltage, the faster the discharging speed of the corresponding battery cell, and the more likely the lithium precipitation; the battery cells in the battery that precipitate lithium are determined according to a target result, wherein the target result comprises at least one second result and the first result corresponding to each second result, and the charging speed and the discharging speed of the battery cells are used to determine whether the battery cells precipitate lithium. In summary, the detection result of lithium precipitation is determined based on the detected dynamic voltages and static voltages, without estimation, thereby improving the accuracy of the detection result of lithium precipitation of a battery. BRIEF DESCRIPTION OF DRAWINGS

[0047] The accompanying drawings, which are incorporated into and form a part of the specification, illustrate one embodiment consistent with the present disclosure and, together with the description, serve to explain the principles of the disclosure.

[0048] In order to more clearly illustrate the technical solutions in the embodiments of the present disclosure or the prior art, the drawings needed to be used in the embodiments or prior art description will be briefly introduced as follows. Obviously, those skilled in the art can obtain other drawings according to these drawings without any creative effort.

[0049] Figure 1 A flowchart of a battery lithium precipitation detection method provided by the present disclosure is shown in the figure.

[0050] Figure 2 A flowchart of another battery lithium precipitation detection method provided by the present disclosure is shown in the figure.

[0051] Figure 3 A flowchart of another battery lithium precipitation detection method provided by the present disclosure is shown in the figure.

[0052] Figure 4 A flowchart of another battery lithium precipitation detection method provided by the present disclosure is shown in the figure.

[0053] Figure 5 A flowchart of another battery lithium precipitation detection method provided by the present disclosure is shown in the figure.

[0054] Figure 6 A flowchart of another battery lithium precipitation detection method provided by the present disclosure is shown in the figure.

[0055] Figure 7 A flowchart of another battery lithium precipitation detection method provided by the present disclosure is shown in the figure.

[0056] Figure 8 A flowchart of another battery lithium precipitation detection method provided by the present disclosure is shown in the figure.

[0057] Figure 9 A flowchart of another battery lithium precipitation detection method provided by the present disclosure is shown in the figure.

[0058] Figure 10 A structural diagram of a battery lithium precipitation detection device provided by the present disclosure is shown in the figure.

[0059] Figure 11 A structural diagram of a battery lithium precipitation detection system provided by the present disclosure is shown in the figure. DETAILED DESCRIPTION

[0060] In order to more clearly illustrate the technical solutions in the embodiments of the present disclosure or the prior art, the drawings needed to be used in the embodiments or prior art description will be briefly introduced as follows. Obviously, those skilled in the art can obtain other drawings according to these drawings without any creative effort.

[0061] In the following description, a large number of specific details are set forth in order to facilitate a thorough understanding of the present disclosure, but the present disclosure can also be implemented in other manners different from those described herein; obviously, the embodiments described in the specification are only a part of the embodiments of the present disclosure, and not all the embodiments.

[0062] The technical solution of the present disclosure is applied to a vehicle system, a vehicle in the vehicle system includes a battery, the battery is used to provide energy to the vehicle, the battery includes a plurality of battery monomers, each battery monomer corresponds to an identification information, for example, the identification information can be a cell number, and the driving data of the vehicle and the related parameter values of the battery can be reported to a cloud platform.

[0063] The state of charge (SOC) in the present disclosure can reflect the remaining capacity of the battery, and the ratio of the remaining capacity of the battery to the capacity when it is fully charged is usually used, SOC=0 indicates that the battery is completely discharged, and SOC=1 indicates that the battery is completely full.

[0064] In the technical solution provided by the present disclosure, the first result is determined according to the dynamic voltage of all battery monomers in the battery at the end of charging under the target charging state, the first result includes the identification information of the battery monomers corresponding to the maximum N dynamic voltages, N is a positive integer less than or equal to the number of battery monomers, the greater the dynamic voltage, the faster the charging speed of the corresponding battery monomer, and the more likely it is to appear lithium precipitation; the second result is determined according to the static voltage of all battery monomers after the target discharge state ends, the second result includes the identification information of the battery monomers corresponding to the minimum M static voltages, M is a positive integer less than or equal to the number of battery monomers, the smaller the static voltage, the faster the discharging speed of the corresponding battery monomer, and the more likely it is to appear lithium precipitation; the battery monomer in the battery that appears lithium precipitation is determined according to the target result, the target result includes at least one second result and the first result corresponding to each second result, which can determine whether the battery monomer appears lithium precipitation according to the charging speed and the discharging speed of the battery monomer, and the detection result of lithium precipitation is determined based on the detected dynamic voltage and static voltage, without estimation, thereby improving the accuracy of the detection result of lithium precipitation of the battery.

[0065] The following gives several specific embodiments to describe the technical solution provided by the present disclosure in detail.

[0066] Figure 1 The flowchart of a battery lithium precipitation detection method provided by the present disclosure is shown as Figure 1 , which includes:

[0067] S101, determining a first result according to the dynamic voltage of all battery monomers in the battery at the end of charging under a target charging state.

[0068] The first result includes identification information of the battery cells corresponding to the N largest dynamic voltages, where N is a positive integer less than or equal to the number of battery cells.

[0069] The battery includes a plurality of battery cells, each battery cell corresponding to an identification information, and the data reported to the cloud platform includes dynamic voltages of all battery cells and identification information corresponding to each dynamic voltage. After determining the target state of charge of the battery, the dynamic voltages of all battery cells at the end of charging at the target state of charge and the identification information corresponding to each dynamic voltage are obtained. All identification information can be arranged in order of the corresponding dynamic voltage from large to small, and the top N identification information in the arrangement result is determined as the first result.

[0070] For example, the identification information can be a cell number, and the battery includes 96 battery cells corresponding to cell numbers CN21561-CN21656. At the end of charging at the target state of charge, the 96 battery cells correspond to 96 dynamic voltages, which are arranged in descending order. The top 5 dynamic voltages in the dynamic voltage arrangement result are selected as the first result.

[0071] If lithium precipitation occurs in a battery cell, the battery capacity of the battery cell decreases. During the target charging process, the time required for the battery cell with lithium precipitation to be fully charged is less, which can be understood as the charging speed of the battery cell with lithium precipitation is faster. Therefore, at the same charging time, the dynamic voltage of the battery cell with lithium precipitation will be higher. In summary, the dynamic voltage of the battery cell corresponding to the identification information in the first result is higher, and the possibility of lithium precipitation is greater.

[0072] S103, determining a second result according to the static voltages of all battery cells after the target discharge state ends.

[0073] The second result includes identification information of the battery cells corresponding to the M smallest static voltages, where M is a positive integer less than or equal to the number of battery cells.

[0074] After the target discharge state ends, the static voltages of all battery cells and the identification information corresponding to each static voltage are obtained. All identification information can be arranged in order of the corresponding static voltage from small to large, and the top M identification information in the arrangement result is determined as the second result.

[0075] For example, based on the above embodiment, after the target discharge state ends, the 96 battery cells correspond to 96 static voltages, which are arranged in ascending order. The top 5 static voltages in the static voltage arrangement result are selected as the second result.

[0076] If lithium precipitation occurs in the battery monomer, in the target discharge process, the time required for complete discharge of the battery monomer with lithium precipitation is less, which can be understood as the discharge speed of the battery monomer with lithium precipitation is faster, so at the same discharge time, the static voltage of the battery monomer with lithium precipitation will be lower. In summary, the static voltage of the battery monomer corresponding to the identification information in the second result is lower, and the possibility of lithium precipitation is greater.

[0077] S105, according to the target result, determine the battery monomer with lithium precipitation in the battery.

[0078] The target result includes at least one second result and its respective first result.

[0079] Optionally, the target result includes one second result and its corresponding first result. As a specific description of one possible implementation of S105, as shown in Figure 2

[0080] S105', if the same identification information is included in the first result and the second result in the target result, it is determined that the battery monomer corresponding to the same identification information has lithium precipitation, and a corresponding lithium precipitation warning signal is generated.

[0081] The lithium precipitation warning signal is used to indicate the battery monomer with lithium precipitation.

[0082] The target result includes one first result and one second result, and the second result corresponds to the first result. The charging speed of the battery monomer corresponding to the N identification information in the first result is faster, and the possibility of lithium precipitation is higher. The discharge speed of the battery monomer corresponding to the M identification information in the second result is faster, and the possibility of lithium precipitation is higher. If the battery monomer with fast charging speed also has fast discharge speed, it is considered that the battery monomer has lithium precipitation. Therefore, based on the first result and the second result, when the same identification information exists in the two results, it is determined that the battery monomer corresponding to the same identification information has lithium precipitation, without the need for a large amount of calculation and estimation, the detection time can be shortened, and the implementation is relatively simple, thereby improving the detection efficiency.

[0083] The lithium precipitation warning signal is generated based on the identification information corresponding to the determined battery monomer with lithium precipitation, so the lithium precipitation warning signal can indicate the identification information corresponding to the battery monomer with lithium precipitation, thereby facilitating the user to locate the battery monomer with lithium precipitation.

[0084] ​In the embodiment, the same identification information is determined to correspond to the lithium precipitation of the battery monomer by including at least one second result and the respective first result corresponding thereto in the target result, without a large amount of calculation and estimation, the detection time can be shortened, the implementation is relatively simple, and thus the detection efficiency can be improved. The lithium precipitation warning signal is used to indicate the battery monomer with lithium precipitation, and the user can conveniently locate the battery monomer with lithium precipitation.

[0085] Optionally, the target result includes at least two groups of target sub-results, and each target sub-result includes a second result and the corresponding first result. As a specific description of another possible implementation manner of S105, as shown in Figure 3

[0086] S105”, if the same identification information is included in all the first results and all the second results in the two groups of target sub-results, the same identification information is determined to correspond to the battery monomer with lithium precipitation, and the corresponding lithium precipitation warning signal is generated.

[0087] The lithium precipitation warning signal is used to indicate the battery monomer with lithium precipitation.

[0088] For example, the target result includes two groups of target sub-results, and each target sub-result includes a second result and the corresponding first result. The charging speed of the battery monomer corresponding to the N identification information in the first result is relatively fast, and the possibility of lithium precipitation is relatively high. The discharging speed of the battery monomer corresponding to the M identification information in the second result is relatively fast, and the possibility of lithium precipitation is relatively high. If the charging speed of the battery monomer with fast charging speed is relatively fast in a group of target sub-results, it is considered that the battery monomer is likely to have lithium precipitation, and needs to be further verified, so the adjacent target sub-result can be used for verification. In other embodiments, the target result can also include more than two groups of target sub-results, and the embodiment does not make specific limitations.

[0089] If the identification information corresponding to the battery monomer with lithium precipitation determined in the previous group of sub-results is included in the adjacent target sub-result, the identification information is determined to correspond to the battery monomer with lithium precipitation; if the identification information corresponding to the battery monomer with lithium precipitation determined in the previous group of sub-results is not included in the adjacent target sub-result, the identification information is determined not to have lithium precipitation, which can avoid the influence of incidental errors on the detection result, and thus the accuracy of the detection result can be improved.

[0090] The lithium precipitation warning signal is generated based on the identification information corresponding to the battery monomer with lithium precipitation, and thus the lithium precipitation warning signal can indicate the identification information corresponding to the battery monomer with lithium precipitation, so that the user can conveniently locate the battery monomer with lithium precipitation.​

[0091] In the embodiment, by including at least two groups of target sub-results in the target result, including a second result and its corresponding first result in the target sub-result, if the same identification information is included in all first results and all second results in two consecutive groups of target sub-results, it is determined that the battery monomer corresponding to the same identification information appears lithium precipitation, which can avoid the influence of incidental errors on the detection result, thereby improving the accuracy of the detection result; by generating a corresponding lithium precipitation warning signal, the lithium precipitation warning signal is used to indicate the battery monomer that appears lithium precipitation, which facilitates the user to locate the battery monomer that appears lithium precipitation.

[0092] Based on the above embodiment, optionally, the target charging state is a charging state in which the state of charge of the battery at the end of charging is greater than a first threshold value, and the target discharging state is a discharging state in which the state of charge of the battery at the end of discharging is less than a second threshold value.

[0093] Since the higher the state of charge of the battery during charging, the greater the difference between the dynamic voltage of the battery monomer that appears lithium precipitation and the normal battery monomer, therefore, by determining the charging state corresponding to the state of charge of the battery at the end of charging being greater than the first threshold value in all charging states as the target charging state, the battery monomer that appears lithium precipitation and the normal battery monomer can be more accurately distinguished, so that the first result has higher accuracy.

[0094] Since the lower the state of charge of the battery during discharging, the greater the difference between the static voltage of the battery monomer that appears lithium precipitation and the normal battery monomer, therefore, by determining the discharging state corresponding to the state of charge of the battery at the end of discharging being less than the second threshold value in all discharging states as the target charging state, the battery monomer that appears lithium precipitation and the normal battery monomer can be more accurately distinguished, so that the second result has higher accuracy.

[0095] In the embodiment, by determining the target charging state as a charging state in which the state of charge of the battery at the end of charging is greater than a first threshold value, and the target discharging state as a discharging state in which the state of charge of the battery at the end of discharging is less than a second threshold value, the battery monomer that appears lithium precipitation and the normal battery monomer can be accurately distinguished, so that the first result and the second result have higher accuracy, thereby improving the accuracy of the detection result.

[0096] Based on the above embodiment, optionally, the target discharging state and the target charging state are two adjacent battery operating states.

[0097] For example, the target discharge state can be the next working state of the battery after the target charge state or the previous working state of the battery before the target charge state, and the target discharge state can be determined according to the target charge state, the next working state of the battery after the target charge state, and the previous working state of the battery before the target charge state. For example, if the next working state of the battery after the target charge state or the previous working state of the battery before the target charge state is a discharge state, the discharge state is the target discharge state; if the next working state of the battery after the target charge state is a charge state and the previous working state of the battery before the target charge state is a charge state, there is no target discharge state. That is, the working state adjacent to the target discharge state can be the target charge state or can not be the target charge state, and the target discharge state corresponds to at least part of the target charge state one by one.

[0098] In the embodiment, since the target discharge state and the target charge state are two adjacent working states of the battery, the first result and the second result are obtained based on a shorter time, that is, the target result can be obtained in a shorter time, and the target result can more accurately reflect the performance of the battery monomer, thereby improving the accuracy of the detection result.

[0099] Figure 4 A flowchart of another battery lithium precipitation detection method provided by the present disclosure is shown in Figure 4 For Figure 1 Based on the embodiment shown in the figure, before S101 is performed, the method further includes:

[0100] S201, obtaining the state of charge of the battery and the charge and discharge state of the battery.

[0101] The charge state of the battery and the working state of the battery are uploaded to a cloud platform, wherein the working state of the battery can include a charge state and a discharge state, the charge state of the battery can be reported to the cloud platform by a battery management system, and the discharge state of the battery can be reported to the cloud platform by the battery management system or determined by the driving state of the vehicle reported to the cloud platform. When the vehicle is in a driving state, energy needs to be provided by the battery, so at this time, the battery is in a discharge state. Therefore, when the vehicle is in a driving state, the corresponding battery is in a discharge state. The driving state of the vehicle can be determined by the driving speed of the vehicle collected by a body stability system or the driving speed of the vehicle collected by a speed sensor, and the embodiment does not make a specific limitation.

[0102] The state of charge includes a first state of charge and a second state of charge. When the battery is in a charging state, the state of charge reported to the cloud platform is the first state of charge. All charging states of the battery and the first state of charge of the battery at the end of charging in all charging states are reported to the cloud platform. When the battery is in a discharging state, the state of charge reported to the cloud platform is the second state of charge. All discharging states of the battery and the second state of charge of the battery at the end of discharging in all discharging states are reported to the cloud platform.

[0103] S203, determining the target charging state according to the first state of charge and the charging state of the battery.

[0104] If the first state of charge of the battery at the end of charging is greater than a first threshold value, the corresponding charging state is determined as the target charging state. In the charging process, the higher the first state of charge of the battery, the greater the difference in dynamic voltage between the battery cell with lithium precipitation and the normal battery cell. In this way, the battery cell with lithium precipitation and the normal battery cell can be more accurately distinguished, and the first result has higher accuracy.

[0105] Correspondingly, before S103 is performed, as shown in Figure 4 , it further includes:

[0106] S205, determining the target discharging state according to the second state of charge and the discharging state of the battery.

[0107] If the second state of charge of the battery at the end of discharging is less than a second threshold value, the corresponding discharging state is determined as the target discharging state. In the discharging process, the lower the second state of charge of the battery, the greater the difference in static voltage between the battery cell with lithium precipitation and the normal battery cell. In this way, the battery cell with lithium precipitation and the normal battery cell can be more accurately distinguished, and the second result has higher accuracy.

[0108] It should be noted that S201-S205 can be performed once, thereby determining a plurality of target charging states and a plurality of target discharging states. Based on the plurality of target charging states and the plurality of target discharging states, S101-S105 is repeatedly performed, and the target result including the plurality of first results and the second results can be obtained. Alternatively, S201-S205 can also be performed multiple times. Each time S201-S205 is performed, one target state and one discharging state are determined. Based on the one target state and the one discharging state, S101-S105 is performed once to obtain a target result including one first result and one second result. In this way, S201-S205 and S101-S105 are repeatedly performed to obtain a target result including a plurality of first results and second results. The number of times that S201-S205 is performed in this embodiment is not specifically limited.

[0109] Based on the above embodiments, optionally, the first threshold is greater than or equal to 80% and less than 100%, and the second threshold is less than or equal to 30% and greater than 0.

[0110] In the target charging process, if the first state of charge of the battery is greater than or equal to 80%, the difference in dynamic voltage between the battery cell that occurs lithium precipitation and the normal battery cell can be sufficiently pulled apart, ensuring that the difference in dynamic voltage between the battery cell that occurs lithium precipitation and the normal battery cell is large enough, so that the identification information in the first result can be accurately obtained, improving the accuracy of the first result. In addition, if the first state of charge of the battery is greater than or equal to 100%, the problem of overcharging the battery cell that occurs lithium precipitation caused by the first threshold being too large can be prevented, thereby avoiding further damage to the battery cell that occurs lithium precipitation caused by overcharging. In summary, by setting the first threshold to be greater than or equal to 80% and less than 100%, the accuracy of the first result can be improved, and the damage to the battery cell caused by overcharging can be avoided.

[0111] In the target discharging process, if the state of charge of the battery is less than or equal to 30%, the difference in static voltage between the battery cell that occurs lithium precipitation and the normal battery cell can be sufficiently pulled apart, ensuring that the difference in static voltage between the battery cell that occurs lithium precipitation and the normal battery cell is large enough, so that the identification information in the second result can be accurately obtained, improving the accuracy of the second result. In addition, if the second state of charge of the battery is greater than 0, the problem of over-discharging the battery cell that occurs lithium precipitation caused by the second threshold being too small can be prevented, thereby avoiding further damage to the battery cell that occurs lithium precipitation caused by over-discharging. In summary, by setting the second threshold to be less than or equal to 30% and greater than 0, the accuracy of the second result can be improved, and the damage to the battery cell caused by over-discharging can be avoided.

[0112] In this embodiment, by setting the first threshold to be greater than or equal to 80% and less than 100%, the accuracy of the first result can be improved, and the damage to the battery cell caused by overcharging can be avoided; by setting the second threshold to be less than or equal to 30% and greater than 0, the accuracy of the second result can be improved, and the damage to the battery cell caused by over-discharging can be avoided.

[0113] Figure 5 A flowchart of another battery lithium precipitation detection method provided by the present disclosure is shown in FIG. 8, Figure 5 Based on the embodiments shown in FIG. 8, before S203 is performed, the method further includes: Figure 4 Based on the embodiments shown in FIG. 8, before S203 is performed, the method further includes:

[0114] S202, determining the maximum state of charge among the states of charge of all the battery cells as the first state of charge.

[0115] Collect the state of charge of all battery monomers, and determine the maximum state of charge of all battery monomers as the first state of charge during the charging process, and report to the cloud platform. Since the charge capacity of the battery monomer that appears lithium precipitation is small, under the same charging condition, the state of charge of the battery monomer that appears lithium precipitation may be higher than that of the normal battery monomer, so that the maximum state of charge is taken as the first state of charge of the battery, which can avoid overcharging of the battery monomer that appears lithium precipitation, and prevent further damage to the battery monomer caused by overcharging.

[0116] In the embodiment, by determining the maximum state of charge of all battery monomers as the first state of charge, overcharging of the battery monomer that appears lithium precipitation can be avoided, and damage to the battery monomer caused by overcharging can be prevented.

[0117] Figure 6 A flowchart of another battery lithium precipitation detection method provided by the present disclosure is shown in Figure 6 For Figure 4 On the basis of the embodiment shown in the figure, before S205 is executed, it further includes:

[0118] S204, determining the minimum state of charge of all battery monomers as the second state of charge.

[0119] During discharging, the minimum state of charge of all battery monomers is determined as the second state of charge, and is reported to the cloud platform. Since the charge capacity of the battery monomer that appears lithium precipitation is small, under the same discharging condition, the state of charge of the battery monomer that appears lithium precipitation may be lower than that of the normal battery monomer, so that the minimum state of charge is taken as the second state of charge of the battery, which can avoid over-discharging of the battery monomer that appears lithium precipitation, and prevent further damage to the battery monomer caused by over-discharging.

[0120] In the embodiment, by determining the minimum state of charge of all battery monomers as the second state of charge, over-discharging of the battery monomer that appears lithium precipitation can be avoided, and damage to the battery monomer caused by over-discharging can be prevented.

[0121] Figure 7 A flowchart of another battery lithium precipitation detection method provided by the present disclosure is shown in Figure 7 For Figure 4 On the basis of the embodiment shown in the figure, before S203 is executed, it further includes:

[0122] S202, determining the maximum state of charge of all battery monomers as the first state of charge.

[0123] Before S205 is executed, it further includes:

[0124] S204, determining the minimum state of charge of all battery monomers as the second state of charge.

[0125] In this embodiment, by determining the maximum state of charge among the states of charge of all battery monomers as the first state of charge, overcharging of the battery monomers that cause lithium precipitation can be avoided, and damage to the battery monomers caused by overcharging can be prevented. By determining the minimum state of charge among the states of charge of all battery monomers as the second state of charge, overdischarging of the battery monomers that cause lithium precipitation can be avoided, and damage to the battery monomers caused by overdischarging can be prevented.

[0126] Figure 8 A flowchart of another battery lithium precipitation detection method provided by the present disclosure is shown in FIG. 6. Figure 8 Based on the embodiment shown in FIG. 5, before S103 is performed, the method further includes: Figure 1 Based on the embodiment shown in FIG. 5, before S103 is performed, the method further includes:

[0127] S1021, obtaining the voltage of all battery monomers at the discharge start time in the next discharge state of the target discharge state.

[0128] The next battery working state of the target discharge state can be a battery discharge state or a battery charging state. If the next battery working state is a battery discharge state, it means that the vehicle is driven again after the vehicle trip ends. At this time, the dynamic voltage of all battery monomers at the discharge start time in the next discharge state is reported, so that the dynamic voltage of all battery monomers at the discharge start time in the next discharge state of the target discharge state can be obtained.

[0129] S1022, determining that the voltage is the static voltage.

[0130] The static voltage of the battery monomer refers to the voltage measured when the battery monomer is neither charged nor discharged. However, when the battery monomer is neither charged nor discharged, it cannot provide energy to the vehicle, and the vehicle cannot report the static voltage to the cloud platform. Since there is no energy loss between the target discharge state and the next discharge state, the dynamic voltage at the discharge start time in the next discharge state after the target discharge state ends can be used as the static voltage of the battery monomer after the target discharge state ends, which can more accurately reflect the static voltage of the battery monomer, improve the accuracy of the static voltage, and improve the accuracy of the second result, thereby improving the accuracy of the detection result.

[0131] In the embodiment, the voltage is determined as the static voltage by acquiring the voltage of all the battery cells at the discharge starting moment in the next discharge state of the target discharge state, and the battery does not have energy loss between the target discharge state and the next discharge state. The dynamic voltage at the discharge starting moment of the next discharge state of the target discharge state can accurately reflect the static voltage of the battery cell after the end of the target discharge state, the accuracy of the static voltage is improved, the accuracy of the second result is improved, and the accuracy of the detection result is improved.

[0132] Based on the above embodiment, optionally, the time difference between the discharge starting moment and the discharge ending moment of the target discharge state is greater than a preset time threshold.

[0133] The discharge starting moment of the next battery discharge state of the target discharge state and the discharge ending moment of the target discharge state have a time difference, that is, the next discharge state of the target discharge state and the target discharge state have a certain battery static time. When the static time is greater than the preset time threshold, it is considered that the battery static time is relatively long, the internal voltage of the battery tends to be stable, the dynamic voltage at the discharge starting moment is close to the real static voltage after the end of the target discharge state, the accuracy of the static voltage is improved, the accuracy of the second result is improved, and the accuracy of the detection result is improved.

[0134] Figure 9 A flowchart of another battery lithium precipitation detection method provided by the present disclosure is shown in Figure 9 Based on the embodiment shown in Figure 1 Before S103 is executed, the method further includes:

[0135] S1021', acquiring the voltage of all the battery cells at the charge starting moment in the next charge state of the target discharge state.

[0136] If the next battery working state is the battery charging state, it indicates that the vehicle driving is ended and the battery is charged. At this time, the dynamic voltage of all the battery cells at the charge starting moment in the next charge state is reported, so that the dynamic voltage of all the battery cells at the charge starting moment in the next charge state of the target discharge state is acquired.

[0137] S1022, determining that the voltage is the static voltage.

[0138] Since there is no energy loss between the target discharge state and the next charging state of the battery, the dynamic voltage at the charging start time of the next charging state after the end of the target discharge state can be used as the static voltage of the battery cell after the end of the target discharge state, which can more accurately reflect the static voltage of the battery cell, improve the accuracy of the static voltage, improve the accuracy of the second result, and thus improve the accuracy of the detection result.

[0139] In this embodiment, by obtaining the voltage of all battery cells at the charging start time in the next charging state of the target discharge state, the voltage is determined as the static voltage. Since there is no energy loss between the target discharge state and the next charging state of the battery, the dynamic voltage at the charging start time of the next charging state after the end of the target discharge state can more accurately reflect the static voltage of the battery cell after the end of the target discharge state, improve the accuracy of the static voltage, improve the accuracy of the second result, and thus improve the accuracy of the detection result.

[0140] Based on the above embodiment, optionally, the time difference between the charging start time and the discharge end time of the target discharge state is greater than a preset time threshold.

[0141] There is a time difference between the charging start time of the next charging state of the battery in the target discharge state and the discharge end time of the target discharge state, that is, there is a certain battery standing time between the next charging state of the target discharge state and the target discharge state. When the standing time is greater than the preset time threshold, it is considered that the battery standing time is relatively long, the internal voltage of the battery tends to be stable, the dynamic voltage at the charging start time can be more close to the real static voltage after the end of the target discharge state, the accuracy of the static voltage can be improved, the accuracy of the second result can be improved, and thus the accuracy of the detection result can be improved.

[0142] Based on the above embodiment, optionally, the preset time threshold is greater than or equal to 1 hour.

[0143] For example, if the preset time threshold is greater than or equal to 1 hour, the standing time of the battery after the end of the target discharge state is long enough, the internal voltage of the battery has been stabilized, the accuracy of the static voltage can be ensured, and thus the accuracy of the detection result can be ensured.

[0144] The present disclosure also provides a battery lithium precipitation detection device, Figure 10 A structural schematic diagram of a battery lithium precipitation detection device provided by the present disclosure is shown in Figure 10 As shown in the figure, the battery lithium precipitation detection device 100 comprises:

[0145] The first determining module 110 is configured to determine a first result according to dynamic voltages of all battery cells in the battery at a charging end time point of a target charging state, the first result including identification information of battery cells corresponding to N maximum dynamic voltages, N being a positive integer less than or equal to a number of the battery cells; and determine a second result according to static voltages of the all battery cells after a target discharging state ends, the second result including identification information of battery cells corresponding to M minimum static voltages, M being a positive integer less than or equal to the number of the battery cells.

[0146] The second determining module 120 is configured to determine a battery cell in which lithium precipitation occurs in the battery according to a target result, the target result including at least one second result and a first result corresponding to the second result.

[0147] Optionally, the target charging state is a charging state in which a state of charge of the battery at the charging end time point is greater than a first threshold value, and the target discharging state is a discharging state in which a state of charge of the battery at a discharging end time point is less than a second threshold value.

[0148] Optionally, the state of charge includes a first state of charge and a second state of charge.

[0149] The first determining module 110 is further configured to acquire a state of charge of the battery and charging and discharging states of the battery; determine the target charging state according to the first state of charge and the charging state of the battery; and determine the target discharging state according to the second state of charge and the discharging state of the battery.

[0150] Optionally, the first determining module 110 is further configured to determine a maximum state of charge in states of charge of the all battery cells as the first state of charge.

[0151] And / or, the first determining module 110 is further configured to determine a minimum state of charge in the states of charge of the all battery cells as the second state of charge.

[0152] Optionally, the target discharging state and the target charging state are two adjacent battery operating states.

[0153] Optionally, the target result includes one second result and a first result corresponding to the second result.

[0154] The second determining module 120 is further configured to, if the first result and the second result in the target result include same identification information, determine that a battery cell corresponding to the same identification information has lithium precipitation, and generate a corresponding lithium precipitation warning signal, the lithium precipitation warning signal being used to indicate the battery cell in which lithium precipitation occurs.

[0155] Optionally, the target result includes at least two groups of target sub-results, and each target sub-result includes the second result and the corresponding first result.

[0156] The second determining module 120 is further configured to determine that lithium precipitation occurs in the battery monomer corresponding to the same identification information if the same identification information is included in all the first results and all the second results in two consecutive groups of target sub-results, and generate a corresponding lithium precipitation warning signal, where the lithium precipitation warning signal is used to indicate the battery monomer in which lithium precipitation occurs.

[0157] Optionally, the first determining module 110 is further configured to obtain the voltage of all the battery monomers at a discharge start time in a next discharge state of the target discharge state, or obtain the voltage of all the battery monomers at a charge start time in a next charge state of the target discharge state; and determine the voltage as the static voltage.

[0158] Optionally, a time difference between the discharge start time and a discharge end time of the target discharge state is greater than a preset time threshold, or a time difference between the charge start time and the discharge end time of the target discharge state is greater than the preset time threshold.

[0159] Optionally, the preset time threshold is greater than or equal to 1 hour.

[0160] Optionally, the first threshold is greater than or equal to 80% and less than 100%, and the second threshold is less than or equal to 30% and greater than 0.

[0161] The battery lithium precipitation detection device provided in the embodiment is used to execute the steps of the method embodiment, and has similar implementation principles and technical effects, which will not be described here.

[0162] The disclosure also provides a battery lithium precipitation detection system, Figure 11 A structural diagram of the battery lithium precipitation detection system provided in the disclosure is shown in FIG. 2. Figure 11 As shown in FIG. 2, the battery lithium precipitation detection system 200 includes:

[0163] The vehicle 210 includes the battery 211, and the battery 211 includes a plurality of battery monomers 211a.

[0164] The voltage acquisition module 220 is electrically connected to all the battery monomers 211a, and can acquire the dynamic voltage of all the battery monomers 211a at a charge end time in a target charge state and the static voltage of all the battery monomers 211a after a target discharge state ends.

[0165] The cloud platform 230 is in communication connection with the voltage acquisition module 220, and the voltage acquisition module 220 can report the dynamic voltage and static voltage of all the battery monomers 211a collected to the cloud platform 230.

[0166] The battery lithium precipitation detection device 100 is in communication connection with the cloud platform 230, and the battery lithium precipitation detection device 100 performs the steps of any one of the method embodiments according to the dynamic voltage and static voltage of all the battery monomers 211a received by the cloud platform 230.

[0167] Figure 11 Only two battery monomers 211a are exemplarily shown in the battery 211, and in actual application, the number of battery monomers can be flexibly set according to actual needs, and the embodiment does not make specific limitation thereto.

[0168] The present disclosure also provides an electronic device, comprising: a processor, the processor is used for executing the computer program stored in the memory, the computer program is executed by the processor to realize the steps of the above method embodiments.

[0169] The present disclosure also provides an electronic device, comprising: a processor, the processor is used for executing the computer program stored in the memory, the computer program is executed by the processor to realize the steps of the above method embodiments.

[0170] The present disclosure also provides an electronic device, comprising: a processor, the processor is used for executing the computer program stored in the memory, the computer program is executed by the processor to realize the steps of the above method embodiments.

[0171] It should be noted that, in this paper, relationship terms such as "first" and "second" are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between the entities or operations. Moreover, the term "include", "contain" or any other variant thereof is intended to cover non-exclusive inclusion, so that the process, method, article or device including a series of elements not only includes those elements, but also includes other elements not explicitly listed or inherent to such process, method, article or device. Without more limitation, the element defined by the statement "including a" does not exclude the presence of another identical element in the process, method, article or device including the element.

[0172] The foregoing is merely illustrative of the various implementations of the present disclosure and the general principles thereof. Numerous modifications can be made to these illustrations, and equivalents can be substituted therefor, without departing from the scope of the present disclosure. The specific embodiments commensurate with the specific application are intended to be illustrative only and not limiting of the scope of the application as set forth in the following claims.

Claims

1. A method for detecting lithium plating in batteries, characterized in that, The method comprises the following steps: determining a first result according to dynamic voltages of all battery cells in the battery at the end of charging in a target charging state, the first result including identification information of battery cells corresponding to the maximum N dynamic voltages, N being a positive integer less than or equal to the number of battery cells; determining a second result according to static voltages of all battery cells after the end of a target discharging state, the second result including identification information of battery cells corresponding to the minimum M static voltages, M being a positive integer less than or equal to the number of battery cells; determining a battery cell in the battery in which lithium precipitation occurs according to a target result, the target result including at least one second result and the first result corresponding to the second result; when the target result includes at least two target sub-results, each target sub-result including a second result and the first result corresponding to the second result, the determination of the battery cell in which lithium precipitation occurs according to the target result comprises: if the same identification information is included in all the first results and all the second results in two consecutive target sub-results, it is determined that the battery cell corresponding to the identification information has lithium precipitation, and a lithium precipitation warning signal is generated to indicate the battery cell in which lithium precipitation occurs; if the identification information corresponding to the battery cell in which lithium precipitation occurs is not included in the current target sub-result, it is determined that the battery cell corresponding to the identification information does not have lithium precipitation.

2. The method of claim 1, wherein, The target charging state is a charging state in which the state of charge of the battery at the end of charging is greater than a first threshold value, and the target discharging state is a discharging state in which the state of charge of the battery at the end of discharging is less than a second threshold value.

3. The method of claim 2, wherein, The state of charge includes a first state of charge and a second state of charge. Before determining the first result according to the dynamic voltages of all battery cells in the battery at the end of charging in the target charging state, the method further comprises: obtaining the state of charge of the battery and the charging and discharging state of the battery; determining the target charging state according to the first state of charge and the charging state of the battery. Before determining the second result according to the static voltages of all battery cells after the end of the target discharging state, the method further comprises: determining the target discharging state according to the second state of charge and the discharging state of the battery.

4. The method of claim 3, wherein, Before determining the target charging state according to the first state of charge and the charging state of the battery, the method further comprises: determining the maximum state of charge in the states of charge of all battery cells as the first state of charge; and / or Before determining the target discharging state according to the second state of charge and the discharging state of the battery, the method further comprises: determining the minimum state of charge in the states of charge of all battery cells as the second state of charge.

5. The method according to any one of claims 1 to 4, characterized in that, The target discharging state and the target charging state are two adjacent battery operating states.

6. The method according to any one of claims 1 to 4, characterized in that, The target result includes one second result and the first result corresponding to the second result. The determination of the battery cell in which lithium precipitation occurs according to the target result comprises: If the same identification information is included in the first result and the second result in the target result, it is determined that the battery monomer corresponding to the same identification information has lithium precipitation, and a corresponding lithium precipitation warning signal is generated, which is used to indicate the battery monomer with lithium precipitation.

7. The method according to any one of claims 1 to 4, characterized in that, Before determining the second result according to the static voltage of all battery monomers after the target discharge state ends, the method further includes: acquiring the voltage of all battery monomers at a discharge starting time in a next discharge state of the target discharge state, or acquiring the voltage of all battery monomers at a charge starting time in a next charge state of the target discharge state; determining the voltage as the static voltage.

8. The method of claim 7, wherein, The time difference between the discharge starting time and the discharge ending time of the target discharge state is greater than a preset time threshold, or the time difference between the charge starting time and the discharge ending time of the target discharge state is greater than the preset time threshold.

9. The method of claim 8, wherein, The preset time threshold is greater than or equal to 1 hour.

10. The method of claim 2, wherein, The first threshold is greater than or equal to 80% and less than 100%, and the second threshold is less than or equal to 30% and greater than 0. 11.A device for detecting lithium plating of a battery, characterized by The method includes: a first determining module, configured to determine a first result according to the dynamic voltage of all battery monomers in the battery at a charge ending time in a target charge state, the first result including the identification information of the battery monomer corresponding to the maximum N dynamic voltages, N being a positive integer less than or equal to the number of battery monomers; and determine a second result according to the static voltage of all battery monomers after the target discharge state ends, the second result including the identification information of the battery monomer corresponding to the minimum M static voltages, M being a positive integer less than or equal to the number of battery monomers; a second determining module, configured to determine the battery monomer with lithium precipitation in the battery according to a target result, the target result including at least one second result and the first result corresponding thereto; When the target result includes at least two target sub-results, and each target sub-result includes one second result and the first result corresponding thereto, the second determining module is specifically configured to determine that the battery monomer corresponding to the same identification information has lithium precipitation and generate a corresponding lithium precipitation warning signal if the same identification information is included in all first results and all second results in the two target sub-results in succession, the lithium precipitation warning signal being used to indicate the battery monomer with lithium precipitation. If the target sub-result of the current group does not include the identification information of the battery monomer with lithium precipitation determined in the target sub-result of the previous group in the two target sub-results in succession, it is determined that the battery monomer corresponding to the identification information does not have lithium precipitation.

12. An electronic device, comprising: The method includes: a processor, configured to execute a computer program stored in a memory, the computer program being executed by the processor to implement the steps of the method of any one of claims 1-10.

13. A computer readable storage medium having stored thereon a computer program, characterized in that The computer program is executed by the processor to implement the steps of the method of any one of claims 1-10.

Citation Information

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