Method and device for detecting abnormity of single battery system, vehicle and storage medium

Abstract

The invention relates to the technical field of power batteries, in particular to a method and device for detecting battery system single body abnormity, a vehicle and a storage medium. Determining a first maximum voltage difference value by using the voltage of each monomer of the battery system in a first state-of-charge interval of a charging initial state; based on the target charging time corresponding to the first maximum voltage difference value, determining the target lower limit value of the voltage median of each monomer, thereby determining the target discrete monomer in the battery system, and determining the voltage identifier of the lowest monomer in the battery system by using the minimum value of the voltage median of each monomer. And determining an abnormal cell of the battery system according to the voltage identifier of the lowest cell and the target discrete cell. Therefore, the problems that real-time monitoring cannot be carried out in the use process of the battery in the prior art, the operation complexity and the detection cost are increased, and the accuracy and the reliability of single battery detection are reduced are solved.

Description

Technical Field

[0001] The present application relates to the technical field of power batteries, and in particular to a method, device, vehicle and storage medium for detecting abnormalities in a battery system cell. Background Art

[0002] The safety of power batteries has become one of the important factors restricting the development of new energy vehicles. In existing technologies, the battery safety status can be warned by monitoring abnormal conditions in the battery core data. Due to abnormal conditions such as defects in the battery cell process and external abuse, abnormal conditions such as leakage of a single cell may occur inside the battery system. After the battery leaks, the electrolyte leaks into the battery system, which may cause a short circuit in the high and low voltage lines inside the battery system. In severe cases, it may cause a fire in the battery system. It is necessary to detect and warn the leaking battery.

[0003] In the related art, gas is injected into the interior of the battery cell through the injection hole of the battery cell, so that the internal pressure of the battery cell reaches a first preset value. The internal pressure of the battery cell is released through the injection hole, so that the internal pressure of the battery cell drops to atmospheric pressure. The gas leaked from the battery cell is detected and analyzed by a leak detection device to determine the leakage rate of the battery cell.

[0004] However, the related technology requires gas injection and pressure change to detect battery leakage, which is not possible in real time during battery use. It also increases operational complexity and detection costs, and reduces the accuracy and reliability of battery cell detection, which needs to be solved urgently. Summary of the invention

[0005] The present application provides a method, device, vehicle and storage medium for detecting abnormalities in a battery system cell, so as to solve the problems in the related art that real-time monitoring during battery use is impossible, operation complexity and detection cost are increased, and the accuracy and reliability of battery cell detection are reduced.

[0006] The first aspect of the present application provides a method for detecting abnormalities in battery system cells, comprising the following steps: when it is detected that the battery system of a vehicle is in a target charging condition, extracting a first state of charge interval of the battery system in a charging start state; determining a first maximum voltage difference value in the first state of charge interval using the voltage of each cell in the first state of charge interval; determining a target lower limit value of the median voltage of each cell based on a target charging time corresponding to the first maximum voltage difference value, and determining a target discrete cell in the battery system according to the target lower limit value, and determining a voltage identifier of the lowest cell in the battery system using the minimum value of the median voltage of each cell, and determining an abnormal cell in the battery system according to the voltage identifier of the lowest cell and the target discrete cell.

[0007] Optionally, in one embodiment of the present application, the method of determining the first maximum voltage difference value in the first state of charge interval by using the voltage of each cell in the first state of charge interval includes: determining the median voltage of each cell at the target time based on a preset number of data frames; determining the voltage difference value of the battery system at the target time according to the median voltage; and determining the first maximum voltage difference value in the first state of charge interval based on the voltage difference value of the battery system.

[0008] Optionally, in one embodiment of the present application, determining the target lower limit value of the median voltage of each single cell based on the target charging time corresponding to the first maximum voltage difference value includes: determining a second state of charge interval of the battery system at the end of charging; determining a second maximum voltage difference value in the second state of charge interval according to the voltage of each single cell in the second state of charge interval; detecting whether the first maximum voltage difference value is greater than or equal to a first preset threshold, and whether the second maximum voltage difference value is greater than or equal to a second preset threshold, wherein the second preset threshold is greater than the first preset threshold; when detecting that the first maximum voltage difference value is greater than or equal to the first preset threshold, and the second maximum voltage difference value is greater than or equal to the second preset threshold, determining the target lower limit value of the median voltage of each single cell based on the target charging time corresponding to the first maximum voltage difference value.

[0009] Optionally, in one embodiment of the present application, determining the target lower limit value of the median voltage of each monomer based on the target charging time corresponding to the first maximum voltage difference value includes: determining the mean of the median voltage of each monomer at the target charging time based on the target charging time corresponding to the first maximum voltage difference value; determining the standard deviation of the median voltage of each monomer at the target charging time using the mean of the voltage medians; and determining the target lower limit value of the median voltage of each monomer based on the mean of the voltage medians and the standard deviation of the voltage medians.

[0010] Optionally, in one embodiment of the present application, after determining the target abnormal cell of the battery system according to the voltage identifier of the lowest cell and the target discrete cell, it also includes: determining the risk level of the battery system using the first maximum pressure difference value; generating a safety warning report of the battery system according to the vehicle number, the target charging time, the voltage identifier of the lowest cell, the first maximum pressure difference value and the risk level; sending the safety warning report to a preset terminal to display the safety warning report on the preset terminal.

[0011] A second aspect of the present application provides an apparatus for detecting abnormalities in battery system cells, comprising: an extraction module, for extracting a first state of charge interval of the battery system in a charging start state when it is detected that the battery system of a vehicle is in a target charging condition; a determination module, for determining a first maximum voltage difference value in the first state of charge interval using the voltage of each cell in the first state of charge interval; a detection module, for determining a target lower limit value of the median voltage of each cell based on a target charging time corresponding to the first maximum voltage difference value, and determining a target discrete cell in the battery system according to the target lower limit value, and determining a voltage identifier of the lowest cell in the battery system using the minimum value of the median voltage of each cell, and determining an abnormal cell in the battery system according to the voltage identifier of the lowest cell and the target discrete cell.

[0012] Optionally, in one embodiment of the present application, the determination module includes: a first determination unit, used to determine the median voltage of each cell at the target time based on a preset data frame; a second determination unit, used to determine the voltage difference of the battery system at the target time according to the median voltage; and a third determination unit, used to determine the first maximum voltage difference value in the first state of charge interval based on the voltage difference of the battery system.

[0013] Optionally, in one embodiment of the present application, the detection module includes: a fourth determination unit, used to determine a second state of charge interval of the battery system at the end of charging; a fifth determination unit, used to determine a second maximum voltage difference value in the second state of charge interval according to the voltage of each cell in the second state of charge interval; a detection unit, used to detect whether the first maximum voltage difference value is greater than or equal to a first preset threshold, and whether the second maximum voltage difference value is greater than or equal to a second preset threshold, wherein the second preset threshold is greater than the first preset threshold; a processing unit, used to determine the target lower limit value of the median voltage of each cell based on the target charging time corresponding to the first maximum voltage difference value when detecting that the first maximum voltage difference value is greater than or equal to the first preset threshold, and the second maximum voltage difference value is greater than or equal to the second preset threshold.

[0014] Optionally, in one embodiment of the present application, the processing unit includes: a first determination subunit, used to determine the mean of the median voltage of each monomer at the target charging time based on the target charging time corresponding to the first maximum voltage difference value; a second determination subunit, used to determine the standard deviation of the median voltage of each monomer at the target charging time using the mean of the voltage medians; and a third determination subunit, used to determine the target lower limit value of the median voltage of each monomer based on the mean of the voltage medians and the standard deviation of the voltage medians.

[0015] Optionally, in one embodiment of the present application, the device of the embodiment of the present application also includes: a determination module, which is used to determine the risk level of the battery system using the first maximum voltage difference value after determining the target abnormal cell of the battery system according to the voltage identifier of the lowest cell and the target discrete cell; a generation module, which is used to generate a safety warning report of the battery system according to the vehicle number, the target charging time, the voltage identifier of the lowest cell, the first maximum voltage difference value and the risk level after determining the target abnormal cell of the battery system according to the voltage identifier of the lowest cell and the target discrete cell; and a sending module, which is used to send the safety warning report to a preset terminal after determining the target abnormal cell of the battery system according to the voltage identifier of the lowest cell and the target discrete cell, so as to display the safety warning report on the preset terminal.

[0016] A third aspect of the present application provides a vehicle, comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the method for detecting abnormalities in battery system cells as described in the above embodiment.

[0017] A fourth aspect of the present application provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, which, when executed by a processor, implements the above method for detecting abnormalities in a battery system cell.

[0018] A fifth aspect of the present application provides a computer program product, including a computer program, which, when executed, is used to implement the above method for detecting abnormalities in battery system cells.

[0019] In the embodiment of the present application, when it is detected that the battery system of the vehicle is in the target charging condition, the voltage of each cell in the first state of charge interval of the battery system in the charging start state is used to determine the first maximum voltage difference value, and based on the target charging time corresponding to the first maximum voltage difference value, the target lower limit value of the median voltage of each cell is determined, thereby determining the target discrete cell in the battery system, and using the minimum value of the median voltage of each cell to determine the voltage identifier of the lowest cell in the battery system, and then determining the abnormal cell of the battery system according to the voltage identifier of the lowest cell and the target discrete cell, effectively improving the accuracy and reliability of battery cell detection. Thus, the problems in the related art that the battery cannot be monitored in real time during use, the operation complexity and detection cost are increased, and the accuracy and reliability of battery cell detection are reduced are solved.

[0020] Additional aspects and advantages of the present application will be given in part in the description below, and in part will become apparent from the description below, or will be learned through the practice of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] The above and / or additional aspects and advantages of the present application will become apparent and easily understood from the following description of the embodiments in conjunction with the accompanying drawings, in which:

[0022] Figure 1 A flowchart of a method for detecting abnormality of a battery system cell provided according to an embodiment of the present application;

[0023] Figure 2 A logic diagram for detecting abnormality of a single cell in a battery system according to a specific embodiment of the present application;

[0024] Figure 3 A schematic diagram of voltage data characteristics of a leaking battery according to a specific embodiment of the present application;

[0025] Figure 4 A schematic diagram of the structure of a device for detecting abnormality of a single cell in a battery system provided according to an embodiment of the present application;

[0026] Figure 5 It is a schematic diagram of the structure of a vehicle provided according to an embodiment of the present application. DETAILED DESCRIPTION

[0027] Embodiments of the present application are described in detail below, and examples of the embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to be used to explain the present application, and should not be construed as limiting the present application.

[0028] The following describes the method, device, vehicle and storage medium for detecting abnormality of a battery system cell according to an embodiment of the present application with reference to the accompanying drawings. In view of the problems that the related technologies mentioned in the above background technology cannot monitor in real time during the use of the battery, increase the complexity of operation and detection cost, and reduce the accuracy and reliability of battery cell detection, the present application provides a method for detecting abnormality of a battery system cell, in which, when it is detected that the battery system of the vehicle is in the target charging condition, the voltage of each cell in the first state of charge interval of the battery system in the charging start state is used to determine the first maximum voltage difference value, and based on the target charging time corresponding to the first maximum voltage difference value, the target lower limit value of the median voltage of each cell is determined, thereby determining the target discrete cell in the battery system, and using the minimum value of the median voltage of each cell to determine the voltage mark of the lowest cell in the battery system, and then determining the abnormal cell of the battery system according to the voltage mark of the lowest cell and the target discrete cell, effectively improving the accuracy and reliability of battery cell detection. Thus, the problems that the related technologies cannot monitor in real time during the use of the battery, increase the complexity of operation and detection cost, and reduce the accuracy and reliability of battery cell detection are solved.

[0029] Specifically, Figure 1 A flowchart of a method for detecting abnormality of a single cell in a battery system provided in an embodiment of the present application.

[0030] like Figure 1 As shown, the method for detecting abnormality of a battery system monomer includes the following steps:

[0031] In step S101 , when it is detected that the battery system of the vehicle is in a target charging condition, a first state of charge interval of the battery system in a charging start state is extracted.

[0032] In the embodiment of the present application, the target charging condition is a condition in which the vehicle is in a slow charging state or a fast charging state; the first state of charge interval is a low state of charge interval.

[0033] It is understandable that the embodiment of the present application can extract the first state of charge interval of the battery system in the charging start state when the battery system of the vehicle is detected to be in the target charging condition, for example, in combination with Figure 2 and Figure 3 As shown, the low SOC interval of the battery system in the initial state of charging is extracted, for example, the interval of 0<=SOC<=20% can be selected as the feature recognition interval, which effectively improves the executability of battery cell abnormality detection.

[0034] It should be noted that after a single cell leaks, its capacity will change and the single cell capacity will be greatly attenuated. In a lower SOC range, its voltage is at a low level in the battery system and is out of the average system voltage level. Therefore, the embodiment of the present application can diagnose abnormal cells in the battery system by detecting abnormal capacity of the single cell.

[0035] In step S102 , a first maximum voltage difference value in the first state of charge interval is determined using the voltage of each cell in the first state of charge interval.

[0036] It can be understood that the embodiment of the present application can use the voltage of each cell in the first state of charge interval to determine the first maximum voltage difference value in the first state of charge interval. For example, according to the above steps, the 0<=SOC<=20% interval segment can be selected to extract the voltage of each cell in this interval segment, which effectively improves the comprehensiveness of data acquisition.

[0037] Among them, in one embodiment of the present application, the voltage of each single cell in the first state of charge interval is used to determine the first maximum voltage difference value in the first state of charge interval, including: based on a preset number of data frames, determining the median voltage of each single cell at the target time; determining the voltage difference value of the battery system at the target time according to the median voltage; based on the voltage difference value of the battery system, determining the first maximum voltage difference value in the first state of charge interval.

[0038] For example, Figure 2 As shown, the embodiment of the present application can calculate the median of the voltage in 5 data frames for all cell voltages in the low SOC range, and calculate the median voltage V of each cell i at time t with time as the dimension and every 5 data frames as a window. i_t_m , where the window sliding step is 1 data frame.

[0039] Among them, the median voltage V i_t_m The calculation method is as follows:

[0040] V i_t_m = median(V i_t_m ,V i_t+1_m ,V i_t+2_m ,V i_t+3_m ,V i_t+4_m )

[0041] Among them, V i_t_m is the median voltage of monomer i at time t, mV; V i_t+1_m is the median voltage of monomer i at time t+1, mV.

[0042] Then according to the median voltage V i_t_m Calculate the battery system voltage difference at time t, that is, the voltage difference V diff_t :

[0043] V diff_t =max(V i_t_m )-min(V i_t_m ),i=1~n

[0044] Among them, V diff_t is the battery system voltage difference at time t, mV; V i_t_m is the median voltage of cell i at time t, mV; n is the total number of cells in the battery system.

[0045] Next, according to the battery system voltage difference V at all times diff_t , calculate the maximum pressure difference value V in the low SOC interval diff_max_l :

[0046] V diff_max_l =max(V diff_t ),t=1~m

[0047] Among them, V diff_max_l is the maximum voltage difference in the low SOC range, mV; V diff_t is the battery system voltage difference at time t, mV; m is the total number of data frames in the low SOC range.

[0048] In step S103, based on the target charging time corresponding to the first maximum voltage difference value, the target lower limit value of the median voltage of each cell is determined, and the target discrete cell in the battery system is determined according to the target lower limit value, and the voltage identifier of the lowest cell in the battery system is determined using the minimum value of the median voltage of each cell, and the abnormal cell of the battery system is determined according to the voltage identifier of the lowest cell and the target discrete cell.

[0049] It is understandable that the embodiment of the present application may be based on the target charging time corresponding to the first maximum voltage difference value, for example, Figure 2 As shown, in the embodiment of the present application, the low SOC segment characteristic value V diff_max_l When the target charging time corresponding to the time is t_warn, outlier detection can be performed on each monomer at time t_warn to determine the lower limit value LCL of the median voltage of each monomer. Then, the median voltage V of each monomer at time t_warn can be determined. i_t_m Whether it exceeds the lower limit, that is, V i_t_m <=LCL, record the monomer number exceeding the lower limit, recorded as v_sol_num_i,

[0050] Next, the embodiment of the present application can also calculate the minimum value of the median voltage of all cells at the moment t_warn, and determine the voltage identifier of the minimum value, that is, the voltage number, recorded as the lowest cell v_min_num, and determine whether the lowest cell voltage number is in the discrete cell list identified above. When v_min_num is in (v_sol_num_i, i=1~n), it is recorded as a warning cell, that is, the warning cell is v_min_num; in the embodiment of the present application, the warning cell is an abnormal cell. Therefore, the embodiment of the present application can determine the capacity state of the leaking battery based on the matching of the outlier cell in the low SOC segment with the lowest cell number, and then can issue a warning when the battery cell leaks, effectively improving the safety and reliability of the vehicle.

[0051] Among them, in one embodiment of the present application, based on the target charging time corresponding to the first maximum voltage difference value, the target lower limit value of the median voltage of each single cell is determined, including: determining a second state of charge interval of the battery system at the end of charging; determining the second maximum voltage difference value in the second state of charge interval according to the voltage of each single cell in the second state of charge interval; detecting whether the first maximum voltage difference value is greater than or equal to a first preset threshold value, and whether the second maximum voltage difference value is greater than or equal to a second preset threshold value, wherein the second preset threshold value is greater than the first preset threshold value; when it is detected that the first maximum voltage difference value is greater than or equal to the first preset threshold value, and the second maximum voltage difference value is greater than or equal to the second preset threshold value, determining the target lower limit value of the median voltage of each single cell based on the target charging time corresponding to the first maximum voltage difference value.

[0052] In the embodiment of the present application, the second state of charge interval is a high state of charge interval in the same charging process as the first state of charge interval.

[0053] For example, combined with Figure 2 and Figure 3 As shown, the embodiment of the present application can determine the high state of charge interval of the battery system in the end-of-charging state, such as selecting the 80%<=SOC<=100% interval, and determining the second maximum voltage difference value in the high state of charge interval according to the voltage of each cell in the high state of charge interval, wherein the maximum voltage difference value V in the high SOC interval is diff_max_h The calculation method and the maximum pressure difference value V in the low SOC range diff_max_l Similar, except that V i_t_m The calculation method is as follows: when calculating in the low SOC interval, the median is calculated using the current data frame and the 4 frames after the frame; when calculating in the high SOC interval, the median is calculated using the current data frame and the 5 frames before the frame. Other calculation methods are the same.

[0054] Next, the embodiment of the present application can splice the low SOC segment and high SOC segment features of the same charging process: extract the low SOC segment feature value V of the same charging process diff_max_l and high SOC segment characteristic value V diff_max_h , as the target eigenvalue, and record the obtained V diff_max_1 The time when the value is t_warn.

[0055] In addition, the high and low SOC characteristic values ​​must meet the following conditions:

[0056] Condition 1: Low SOC segment characteristic value V diff_max_l is greater than or equal to the set threshold a (e.g., 150mv), that is, V diff_max_l > = a;

[0057] Condition 2: High SOC segment characteristic value V diff_max_h Greater than or equal to V diff_max_l x times, that is, V diff_max_h >=V diff_max_l *x.

[0058] Optionally, in one embodiment of the present application, based on the target charging time corresponding to the first maximum voltage difference value, a target lower limit value of the median voltage of each cell is determined, including: based on the target charging time corresponding to the first maximum voltage difference value, determining the mean of the median voltage of each cell at the target charging time; using the mean of the voltage medians to determine the standard deviation of the median voltage of each cell at the target charging time; determining the target lower limit value of the median voltage of each cell according to the mean of the voltage medians and the standard deviation of the voltage medians.

[0059] For example, the embodiment of the present application can perform low SOC discrete monomer identification. When the above detection conditions exist, that is, when the high and low SOC characteristic values ​​meet the conditions, the V can be obtained in the low SOC interval. diff_max_1 All monomers at time t_warn are detected as outliers:

[0060] First, calculate the mean value V of the median voltage of all monomers at time t_warn t_warn_avg :

[0061] V t_warn_avg =avg(V i_t_warn_m ),i=1~n

[0062] Among them, V t_warn_avg is the median mean of the voltage of all monomers at time t_warn, mV; V i_t_warn_m is the median voltage V of cell i at time t_warn i_t_m , mV; n is the total number of cells in the battery system.

[0063] Next, calculate the standard deviation V of the median voltage of all cells at time t_warn t_warn_std :

[0064]

[0065] Among them, V t_warn_std is the standard deviation of the median voltage of all monomers, mV; V i_t_warn_m is the median voltage V of cell i at time t_warn i_t_m , mV; V t_warn_avg is the median voltage mean of all cells at time t_warn, mV; n is the total number of cells in the battery system.

[0066] Finally, calculate the lower limit LCL of the median voltage of all monomers at time t_warn:

[0067] LCL=V t_warn_avg -3*V t_warn_std

[0068] Among them, V t_warn_avg is the mean of the median voltages of all cells at time t_warn; V t_warn_std is the standard deviation of the median voltage of all cells.

[0069] Optionally, in one embodiment of the present application, after determining the target abnormal cell of the battery system according to the voltage identifier of the lowest cell and the target discrete cell, it also includes: determining the risk level of the battery system using the first maximum voltage difference value; generating a safety warning report of the battery system according to the vehicle number, target charging time, the voltage identifier of the lowest cell, the first maximum voltage difference value and the risk level; sending the safety warning report to a preset terminal to display the safety warning report on the preset terminal.

[0070] For example, Figure 2 As shown, the embodiment of the present application can extract the warning charging records that meet the above detection conditions according to the above calculation results, and record the vehicle number, warning time t_warn, warning unit number v_min_num, warning characteristic value V diff_max_l In addition, the warning characteristic value V of the above calculation results can also be used diff_max_l Divide the severity level, Table 1 is the risk level classification table, the specific Table 1 is as follows:

[0071] Table 1

[0072] id <![CDATA[V diffmaxl ]]> Risk Level 1 <![CDATA[V diff_max_l >300]]> high 2 <![CDATA[200<V diffmaxl <=300]]> middle 3 <＝200 Low

[0073] Next, the embodiment of the present application can organize the above warning information to output the vehicle number, warning time t_warn, warning unit number v_min_num, warning characteristic value Vdiff_max_l The system generates a safety warning report for the battery system based on the risk level and sends it to the user’s mobile phone and the maintenance department’s computer. The safety warning report can be displayed on the mobile phone and computer so that relevant technicians can promptly understand the abnormal information of the battery cells in the system, thereby improving the interactivity and intelligence of the vehicle.

[0074] According to the method for detecting abnormality of battery system cells proposed in the embodiment of the present application, when it is detected that the battery system of the vehicle is in the target charging condition, the first maximum voltage difference value can be determined by using the voltage of each cell in the first state of charge interval of the battery system in the charging start state, and based on the target charging time corresponding to the first maximum voltage difference value, the target lower limit value of the median voltage of each cell is determined, thereby determining the target discrete cell in the battery system, and using the minimum value of the median voltage of each cell to determine the voltage identifier of the lowest cell in the battery system, and then determining the abnormal cell of the battery system according to the voltage identifier of the lowest cell and the target discrete cell, effectively improving the accuracy and reliability of battery cell detection. Thus, the problems in the related art that it is impossible to monitor in real time during battery use, and that the operation complexity and detection cost are increased, and the accuracy and reliability of battery cell detection are reduced are solved.

[0075] Next, a device for detecting abnormality of a single cell in a battery system according to an embodiment of the present application will be described with reference to the accompanying drawings.

[0076] Figure 4 It is a block diagram of a device for detecting abnormality of a single cell in a battery system according to an embodiment of the present application.

[0077] like Figure 4 As shown, the device 10 for detecting abnormality of a single cell in a battery system includes: an extraction module 100 , a determination module 200 and a detection module 300 .

[0078] Specifically, the extraction module 100 is used to extract the first state of charge interval of the battery system in the charging start state when it is detected that the battery system of the vehicle is in the target charging condition.

[0079] The determination module 200 is configured to determine a first maximum voltage difference value in the first state of charge interval by using the voltage of each cell in the first state of charge interval.

[0080] The detection module 300 is used to determine the target lower limit value of the median voltage of each cell based on the target charging time corresponding to the first maximum voltage difference value, and determine the target discrete cell in the battery system according to the target lower limit value, and use the minimum value of the median voltage of each cell to determine the voltage identifier of the lowest cell in the battery system, and determine the abnormal cell of the battery system according to the voltage identifier of the lowest cell and the target discrete cell.

[0081] Optionally, in one embodiment of the present application, the determination module 200 includes: a first determination unit, a second determination unit and a third determination unit.

[0082] The first determination unit is used to determine the median voltage of each cell at a target time based on a preset number of data frames.

[0083] The second determining unit is used to determine the voltage difference of the battery system at a target time according to the voltage median.

[0084] The third determining unit is configured to determine a first maximum voltage difference value in a first state of charge interval based on the voltage difference value of the battery system.

[0085] Optionally, in one embodiment of the present application, the detection module includes: a fourth determination unit, a fifth determination unit, a detection unit and a processing unit.

[0086] The fourth determination unit is used to determine a second state of charge interval of the battery system in a charging end state.

[0087] The fifth determining unit is configured to determine a second maximum voltage difference value in the second state of charge interval according to the voltage of each cell in the second state of charge interval.

[0088] The detection unit is used to detect whether the first maximum pressure difference value is greater than or equal to a first preset threshold value, and whether the second maximum pressure difference value is greater than or equal to a second preset threshold value, wherein the second preset threshold value is greater than the first preset threshold value.

[0089] The processing unit is used to determine the target lower limit value of the median voltage of each cell based on the target charging time corresponding to the first maximum voltage difference value when it is detected that the first maximum voltage difference value is greater than or equal to the first preset threshold value and the second maximum voltage difference value is greater than or equal to the second preset threshold value.

[0090] Optionally, in one embodiment of the present application, the processing unit includes: a first determining subunit, a second determining subunit and a third determining subunit.

[0091] The first determining subunit is used to determine the average of the median voltage of each cell at the target charging time based on the target charging time corresponding to the first maximum voltage difference value.

[0092] The second determination subunit is used to determine the standard deviation of the median voltage of each cell at the target charging time by using the mean of the median voltage.

[0093] The third determination subunit is used to determine the target lower limit value of the median voltage of each monomer according to the mean value of the median voltage and the standard deviation of the median voltage.

[0094] Optionally, in one embodiment of the present application, the device 10 of the embodiment of the present application further includes: a determination module, a generation module and a sending module.

[0095] The determination module is used to determine the risk level of the battery system using the first maximum voltage difference value after determining the target abnormal cell of the battery system according to the voltage identifier of the lowest cell and the target discrete cell.

[0096] A generation module is used to generate a safety warning report of the battery system according to the vehicle number, target charging time, the voltage identifier of the lowest cell, the first maximum voltage difference value and the risk level after determining the target abnormal cell of the battery system according to the voltage identifier of the lowest cell and the target discrete cell.

[0097] The sending module is used to send a safety warning report to a preset terminal after determining the target abnormal cell of the battery system according to the voltage identifier of the lowest cell and the target discrete cell, so as to display the safety warning report on the preset terminal.

[0098] It should be noted that the above explanation of the embodiment of the method for detecting abnormality of a single cell in a battery system is also applicable to the device for detecting abnormality of a single cell in a battery system of this embodiment, and will not be repeated here.

[0099] According to the device for detecting abnormality of battery system cells proposed in the embodiment of the present application, when it is detected that the battery system of the vehicle is in the target charging condition, the first maximum voltage difference value can be determined by using the voltage of each cell in the first state of charge interval of the battery system in the charging start state, and the target lower limit value of the median voltage of each cell can be determined based on the target charging time corresponding to the first maximum voltage difference value, thereby determining the target discrete cell in the battery system, and using the minimum value of the median voltage of each cell to determine the voltage mark of the lowest cell in the battery system, and then determining the abnormal cell of the battery system according to the voltage mark of the lowest cell and the target discrete cell, effectively improving the accuracy and reliability of battery cell detection. Thus, the problems in the related art that it is impossible to monitor the battery in real time during use, and the operation complexity and detection cost are increased, and the accuracy and reliability of battery cell detection are reduced are solved.

[0100] Figure 5 A schematic diagram of the structure of a vehicle provided in an embodiment of the present application. The vehicle may include:

[0101] A memory 501 , a processor 502 , and a computer program stored in the memory 501 and executable on the processor 502 .

[0102] When the processor 502 executes the program, the method for detecting abnormality of a single cell in a battery system provided in the above embodiment is implemented.

[0103] Furthermore, the vehicle also includes:

[0104] The communication interface 503 is used for communication between the memory 501 and the processor 502 .

[0105] The memory 501 is used to store computer programs that can be executed on the processor 502 .

[0106] The memory 501 may include a high-speed RAM memory, and may also include a non-volatile memory (non-volatile memory), such as at least one disk memory.

[0107] If the memory 501, the processor 502 and the communication interface 503 are implemented independently, the communication interface 503, the memory 501 and the processor 502 can be connected to each other through a bus and communicate with each other. The bus can be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus or an Extended Industry Standard Architecture (EISA) bus. The bus can be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 5 Only one thick line is used in the diagram, but this does not mean that there is only one bus or only one type of bus.

[0108] Optionally, in a specific implementation, if the memory 501, the processor 502 and the communication interface 503 are integrated on a chip, the memory 501, the processor 502 and the communication interface 503 can communicate with each other through an internal interface.

[0109] The processor 502 may be a central processing unit (CPU), or an application specific integrated circuit (ASIC), or one or more integrated circuits configured to implement the embodiments of the present application.

[0110] This embodiment also provides a computer-readable storage medium on which a computer program is stored. When the program is executed by a processor, the method for detecting abnormality of a single cell in a battery system as described above is implemented.

[0111] This embodiment also provides a computer program product, including a computer program. When the computer program is executed, it is used to implement the above method for detecting abnormality of a single cell in a battery system.

[0112] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present application. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or N embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine the different embodiments or examples described in this specification and the features of the different embodiments or examples, without contradiction.

[0113] In addition, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Therefore, a feature defined as "first" or "second" may explicitly or implicitly include at least one of the features. In the description of this application, "N" means at least two, such as two, three, etc., unless otherwise clearly and specifically defined.

[0114] Any process or method description in a flowchart or otherwise described herein may be understood to represent a module, fragment or portion of code comprising one or N executable instructions for implementing the steps of a custom logical function or process, and the scope of the preferred embodiments of the present application includes alternative implementations in which functions may not be performed in the order shown or discussed, including performing functions in a substantially simultaneous manner or in reverse order depending on the functions involved, which should be understood by technicians in the technical field to which the embodiments of the present application belong.

[0115] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as an ordered list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by an instruction execution system, device or apparatus (such as a computer-based system, a system including a processor, or other system that can fetch instructions from an instruction execution system, device or apparatus and execute instructions), or in combination with these instruction execution systems, devices or apparatuses. For the purpose of this specification, "computer-readable medium" can be any device that can contain, store, communicate, propagate or transmit a program for use by an instruction execution system, device or apparatus, or in combination with these instruction execution systems, devices or apparatuses. More specific examples of computer-readable media (a non-exhaustive list) include the following: an electrical connection with one or N wirings (electronic devices), a portable computer disk box (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), a fiber optic device, and a portable compact disk read-only memory (CDROM). In addition, the computer-readable medium may even be paper or other suitable medium on which the program is printed, since the program may be obtained electronically by optically scanning the paper or other medium and then editing, interpreting or processing in other suitable ways as necessary and then storing it in a computer memory.

[0116] It should be understood that the various parts of the present application can be implemented by hardware, software, firmware or a combination thereof. In the above embodiment, the N steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, it can be implemented by any one or a combination of the following technologies known in the art: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0117] A person skilled in the art may understand that all or part of the steps in the method for implementing the above-mentioned embodiment may be completed by instructing related hardware through a program, and the program may be stored in a computer-readable storage medium, which, when executed, includes one or a combination of the steps of the method embodiment.

[0118] In addition, each functional unit in each embodiment of the present application may be integrated into a processing module, or each unit may exist physically separately, or two or more units may be integrated into one module. The above-mentioned integrated module may be implemented in the form of hardware or in the form of a software functional module. If the integrated module is implemented in the form of a software functional module and sold or used as an independent product, it may also be stored in a computer-readable storage medium.

[0119] The storage medium mentioned above may be a read-only memory, a magnetic disk or an optical disk, etc. Although the embodiments of the present application have been shown and described above, it can be understood that the above embodiments are exemplary and cannot be understood as limiting the present application. A person of ordinary skill in the art may change, modify, replace and modify the above embodiments within the scope of the present application.

Claims

1. A method for detecting abnormality of a battery system monomer, characterized in that: The following steps are involved: When it is detected that the battery system of the vehicle is in the target charging condition, extracting a first state of charge interval of the battery system in the charging start state; Determine a first maximum voltage difference value in the first state of charge interval by using the voltage of each cell in the first state of charge interval; Based on the target charging time corresponding to the first maximum voltage difference value, the target lower limit value of the median voltage of each cell is determined, and the target discrete cell in the battery system is determined according to the target lower limit value, and the voltage identifier of the lowest cell in the battery system is determined using the minimum value of the median voltage of each cell, and the abnormal cell of the battery system is determined according to the voltage identifier of the lowest cell and the target discrete cell.

2. The method according to claim 1, characterized in that The method of determining a first maximum voltage difference value in the first state of charge interval by using the voltage of each cell in the first state of charge interval includes: Based on a preset number of data frames, determining a median voltage of each cell at a target time; Determining a voltage difference of the battery system at the target time according to the voltage median; Based on the voltage difference of the battery system, a first maximum voltage difference value in the first state of charge interval is determined.

3. The method according to claim 1, characterized in that The determining, based on the target charging time corresponding to the first maximum voltage difference value, a target lower limit value of the median voltage of each cell includes: Determining a second state of charge interval of the battery system in a charging end state; determining a second maximum voltage difference value in the second state of charge interval according to the voltage of each cell in the second state of charge interval; Detecting whether the first maximum pressure difference value is greater than or equal to a first preset threshold, and whether the second maximum pressure difference value is greater than or equal to a second preset threshold, wherein the second preset threshold is greater than the first preset threshold; When it is detected that the first maximum voltage difference value is greater than or equal to the first preset threshold value, and the second maximum voltage difference value is greater than or equal to the second preset threshold value, the target lower limit value of the median voltage of each cell is determined based on the target charging time corresponding to the first maximum voltage difference value.

4. The method according to claim 3, characterized in that The determining the target lower limit value of the median voltage of each cell based on the target charging time corresponding to the first maximum voltage difference value includes: Determining, based on a target charging time corresponding to the first maximum voltage difference value, an average of the median voltages of each cell at the target charging time; Determine the standard deviation of the median voltage of each cell at the target charging time using the mean of the median voltage; The target lower limit value of the median voltage of each cell is determined according to the mean of the median voltage and the standard deviation of the median voltage.

5. The method according to claim 1, characterized in that After determining the target abnormal cell of the battery system according to the voltage identifier of the lowest cell and the target discrete cell, the method further includes: determining a risk level of the battery system using the first maximum pressure difference value; generating a safety warning report of the battery system according to the vehicle number, the target charging time, the voltage identifier of the lowest cell, the first maximum voltage difference value and the risk level; The security warning report is sent to a preset terminal to display the security warning report on the preset terminal.

6. A device for detecting abnormality of a battery system monomer, characterized in that: include: An extraction module, configured to extract a first state of charge interval of the battery system in a charging start state when detecting that the battery system of the vehicle is in a target charging condition; a determination module, configured to determine a first maximum voltage difference value in the first state of charge interval by using the voltage of each cell in the first state of charge interval; A detection module is used to determine a target lower limit value of the median voltage of each cell based on the target charging time corresponding to the first maximum voltage difference value, and determine a target discrete cell in the battery system according to the target lower limit value, and determine a voltage identifier of the lowest cell in the battery system using the minimum value of the median voltage of each cell, and determine an abnormal cell in the battery system according to the voltage identifier of the lowest cell and the target discrete cell.

7. The device according to claim 6, characterized in that The determination module comprises: A first determining unit, configured to determine a median voltage of each cell at a target time based on a preset number of data frames; A second determining unit, configured to determine a voltage difference of the battery system at the target time according to the voltage median; The third determining unit is configured to determine a first maximum voltage difference value in the first state of charge interval based on the voltage difference value of the battery system.

8. The device according to claim 6, characterized in that The detection module comprises: A fourth determining unit, configured to determine a second state of charge interval of the battery system in a charging end state; a fifth determining unit, configured to determine a second maximum voltage difference value in the second state of charge interval according to the voltage of each cell in the second state of charge interval; a detection unit, configured to detect whether the first maximum pressure difference value is greater than or equal to a first preset threshold value, and whether the second maximum pressure difference value is greater than or equal to a second preset threshold value, wherein the second preset threshold value is greater than the first preset threshold value; A processing unit, for determining the target lower limit value of the median voltage of each cell based on the target charging time corresponding to the first maximum voltage difference value, when detecting that the first maximum voltage difference value is greater than or equal to the first preset threshold value and the second maximum voltage difference value is greater than or equal to the second preset threshold value.

9. A vehicle, characterized in that: include: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the method for detecting abnormality of a single cell in a battery system as described in any one of claims 1 to 5.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: The program is executed by a processor to implement the method for detecting abnormality of a single cell in a battery system as described in any one of claims 1 to 5.

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