A battery pack anomaly monitoring method and device, electronic equipment and storage medium

Abstract

The application provides a battery pack anomaly monitoring method and device, electronic equipment and storage medium, the method comprises: obtaining the discharge monitoring data of the battery pack to be measured; extracting the first battery voltage data corresponding to each mileage interval in the discharge monitoring data; for any mileage interval, determining the first battery voltage difference average value of the mileage interval according to the first battery voltage data corresponding to the mileage interval; according to the first battery voltage difference change trend represented by the first battery voltage difference average value of each mileage interval, predicting the first battery voltage difference standard value of the battery pack to be measured in the next mileage interval; according to the size relationship between the actual battery voltage difference of the battery pack to be measured in the next mileage interval and the first battery voltage difference standard value, determining the anomaly monitoring result of the battery pack to be measured. By considering the influence of vehicle mileage on battery voltage difference, the first battery voltage difference standard value of the battery pack to be measured in the current mileage interval is determined, and the accuracy of the finally obtained anomaly monitoring result is ensured.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of safety detection, and particularly relates to a battery pack abnormality monitoring method and device, an electronic device and a storage medium. BACKGROUND

[0002] At present, due to the influence of various factors such as the manufacturing process, materials and user usage habits of the battery pack of an electric vehicle, there is a potential danger in the use of the battery pack. Early identification of battery pack abnormalities can avoid the occurrence of danger or minimize the harm caused by abnormalities. In the use of the battery, the deterioration of consistency can be intuitively reflected by the change of the pressure difference. The continuous use of the battery with a large pressure difference will exacerbate the performance degradation of the entire battery pack.

[0003] In the prior art, the cell pressure difference of the electric vehicle at each time point is determined according to the historical operation data of the electric vehicle, and then the size relationship between the cell pressure difference and the preset cell pressure difference threshold is determined to judge whether the battery pack of the electric vehicle is abnormal.

[0004] However, due to the influence of multiple factors on the cell voltage of the battery pack in the application process, if the battery pack abnormality monitoring is based on the prior art, the accuracy of the final abnormality monitoring result cannot be guaranteed. SUMMARY

[0005] The present application provides a battery pack abnormality monitoring method, device, electronic device and storage medium to solve the defects that the prior art cannot guarantee the accuracy of the final abnormality monitoring result.

[0006] The first aspect of the present application provides a battery pack abnormality monitoring method, comprising:

[0007] obtaining discharge monitoring data of a battery pack to be tested;

[0008] extracting first cell voltage data corresponding to each mileage interval in the discharge monitoring data according to a preset mileage interval;

[0009] For any mileage interval, determining a first cell pressure difference average value of the mileage interval according to the first cell voltage data corresponding to the mileage interval;

[0010] According to the first cell pressure difference change trend represented by the first cell pressure difference average value of each mileage interval, predicting a first cell pressure difference standard value of the next mileage interval of the battery pack to be tested; wherein the next mileage interval is the current mileage interval of the battery pack to be tested;

[0011] According to the size relationship between the actual cell pressure difference of the battery pack to be tested in the next mileage interval and the first cell pressure difference standard value, determining the abnormality monitoring result of the battery pack to be tested.

[0012] Optionally, the method further comprises:

[0013] According to the preset SOC interval, the second cell voltage data corresponding to each SOC interval is extracted from the discharge monitoring data;

[0014] For any SOC interval, the second cell voltage difference average value of the SOC interval is determined according to the second cell voltage data corresponding to the SOC interval;

[0015] According to the second cell voltage difference change trend represented by the second cell voltage difference average values of each SOC interval, the second cell voltage difference standard value of the to-be-tested battery pack in the next SOC interval is predicted; wherein the next SOC interval is the current SOC interval of the to-be-tested battery pack, and each SOC interval belongs to the same discharge cycle.

[0016] Optionally, the abnormal monitoring result of the to-be-tested battery pack is determined according to the size relationship between the actual cell voltage difference of the to-be-tested battery pack in the next mileage interval and the first cell voltage difference standard value, comprising:

[0017] When the actual cell voltage difference of the to-be-tested battery pack in the next mileage interval is greater than the first cell voltage difference standard value and the duration reaches a first preset duration threshold, it is determined whether the actual cell voltage difference exceeds the second cell voltage difference standard value of the to-be-tested battery pack in the next SOC interval;

[0018] If the actual cell voltage difference exceeds the second cell voltage difference standard value of the to-be-tested battery pack in the next SOC interval and the duration reaches a second preset duration threshold, it is determined that the abnormal monitoring result of the to-be-tested battery pack is abnormal.

[0019] Optionally, the method further comprises:

[0020] According to the end value corresponding to the next SOC interval, the second preset duration threshold is determined.

[0021] Optionally, the first cell voltage difference change trend represented by the first cell voltage difference average values of each mileage interval is used to predict the first cell voltage difference standard value of the to-be-tested battery pack in the next mileage interval, comprising:

[0022] According to the first cell voltage difference average values of each mileage interval, the correlation coefficients between adjacent mileage intervals are determined;

[0023] Based on a preset mileage interval interpolation prediction function, the first cell voltage upper limit value of the to-be-tested battery pack in the next mileage interval is predicted according to the correlation coefficients between adjacent mileage intervals and the first maximum cell voltage corresponding to each mileage interval.

[0024] predict, based on the correlation coefficient between each of the adjacent mileage intervals and the first minimum cell voltage corresponding to each of the mileage intervals, a first cell voltage lower limit value of the battery pack to be measured in a next mileage interval according to a preset mileage interval interpolation prediction function;

[0025] determine, according to the first cell voltage upper limit value and the first cell voltage lower limit value of the battery pack to be measured in the next mileage interval, a first cell voltage difference standard value of the battery pack to be measured in the next mileage interval.

[0026] Optionally, the second cell voltage difference changing trend represented by the second cell voltage difference average value of each of the SOC intervals is used to predict a second cell voltage difference standard value of the battery pack to be measured in a next SOC interval, including:

[0027] determine, according to the second cell voltage difference average value of each of the SOC intervals, a correlation coefficient between adjacent SOC intervals;

[0028] predict, based on the correlation coefficient between each of the adjacent SOC intervals and the second maximum cell voltage corresponding to each of the SOC intervals, a second cell voltage upper limit value of the battery pack to be measured in a next SOC interval according to a preset SOC interval interpolation prediction function;

[0029] predict, based on the correlation coefficient between each of the adjacent SOC intervals and the second minimum cell voltage corresponding to each of the SOC intervals, a second cell voltage lower limit value of the battery pack to be measured in a next SOC interval according to a preset SOC interval interpolation prediction function;

[0030] determine, according to the second cell voltage upper limit value and the second cell voltage lower limit value of the battery pack to be measured in the next SOC interval, a second cell voltage difference standard value of the battery pack to be measured in the next SOC interval.

[0031] Optionally, the discharge monitoring data of the battery pack to be measured is obtained, including:

[0032] obtain historical full-amount data of the battery pack to be measured;

[0033] screen the discharge monitoring data from the historical full-amount data according to current information;

[0034] The discharge monitoring data at least includes cell voltage data, SOC data and mileage data of the battery pack to be measured in a discharge state.

[0035] The second aspect of the present application provides a battery pack abnormality monitoring device, including:

[0036] an obtaining module configured to obtain discharge monitoring data of a battery pack to be measured;

[0037] a segmentation module configured to extract, from the discharge monitoring data, first cell voltage data corresponding to each mileage interval according to preset mileage intervals;

[0038] a determination module configured to determine, for any mileage interval, a first cell voltage difference average value of the mileage interval according to first cell voltage data corresponding to the mileage interval;

[0039] a prediction module configured to predict a first cell voltage difference standard value of the battery pack to be tested in a next mileage interval according to a first cell voltage difference change trend represented by first cell voltage difference average values of the mileage intervals; the next mileage interval is a current mileage interval of the battery pack to be tested;

[0040] a monitoring module configured to determine an abnormal monitoring result of the battery pack to be tested according to a size relationship between an actual cell voltage difference of the battery pack to be tested in the next mileage interval and the first cell voltage difference standard value.

[0041] Optionally, the prediction module is further configured to:

[0042] extract, from the discharge monitoring data, second cell voltage data corresponding to each SOC interval according to preset SOC intervals;

[0043] determine, for any SOC interval, a second cell voltage difference average value of the SOC interval according to second cell voltage data corresponding to the SOC interval;

[0044] predict a second cell voltage difference standard value of the battery pack to be tested in a next SOC interval according to a second cell voltage difference change trend represented by second cell voltage difference average values of the SOC intervals; the next SOC interval is a current SOC interval of the battery pack to be tested, and the SOC intervals belong to a same discharge period.

[0045] Optionally, the monitoring module is specifically configured to:

[0046] when the actual cell voltage difference of the battery pack to be tested in the next mileage interval is greater than the first cell voltage difference standard value and a duration reaches a first preset duration threshold, determine whether the actual cell voltage difference exceeds a second cell voltage difference standard value of the battery pack to be tested in the next SOC interval;

[0047] if the actual cell voltage difference exceeds the second cell voltage difference standard value of the battery pack to be tested in the next SOC interval and a duration reaches a second preset duration threshold, determine that the abnormal monitoring result of the battery pack to be tested is abnormal.

[0048] Optionally, the monitoring module is further configured to:

[0049] determine the second preset duration threshold according to an end value corresponding to the next SOC interval.

[0050] Optionally, the prediction module is specifically configured to:

[0051] determine a correlation coefficient between adjacent mileage intervals according to the first average cell voltage difference of each mileage interval;

[0052] predict the upper limit value of the first cell voltage of the battery pack to be tested in the next mileage interval based on a preset mileage interval interpolation prediction function, according to the correlation coefficient between each adjacent mileage interval and the first maximum cell voltage corresponding to each mileage interval;

[0053] predict the lower limit value of the first cell voltage of the battery pack to be tested in the next mileage interval based on a preset mileage interval interpolation prediction function, according to the correlation coefficient between each adjacent mileage interval and the first minimum cell voltage corresponding to each mileage interval;

[0054] determine the first cell voltage difference standard value of the battery pack to be tested in the next mileage interval according to the upper limit value and the lower limit value of the first cell voltage of the battery pack to be tested in the next mileage interval.

[0055] Optionally, the prediction module is specifically configured to:

[0056] determine a correlation coefficient between adjacent SOC intervals according to the second average cell voltage difference of each SOC interval;

[0057] predict the upper limit value of the second cell voltage of the battery pack to be tested in the next SOC interval based on a preset SOC interval interpolation prediction function, according to the correlation coefficient between each adjacent SOC interval and the second maximum cell voltage corresponding to each SOC interval;

[0058] predict the lower limit value of the second cell voltage of the battery pack to be tested in the next SOC interval based on a preset SOC interval interpolation prediction function, according to the correlation coefficient between each adjacent SOC interval and the second minimum cell voltage corresponding to each SOC interval;

[0059] determine the second cell voltage difference standard value of the battery pack to be tested in the next SOC interval according to the upper limit value and the lower limit value of the second cell voltage of the battery pack to be tested in the next SOC interval.

[0060] Optionally, the acquisition module is specifically configured to:

[0061] acquire historical full data of the battery pack to be tested;

[0062] filter the discharge monitoring data from the historical full data according to current information;

[0063] The discharge monitoring data at least includes cell voltage data, SOC data and mileage data of the battery pack to be tested in a discharging state.

[0064] The third aspect of the present application provides an electronic device, comprising: at least one processor and a memory;

[0065] The memory stores computer execution instructions;

[0066] The at least one processor executes the computer execution instructions stored in the memory, so that the at least one processor executes the method as described in the first aspect and various possible designs of the first aspect.

[0067] The fourth aspect of the present application provides a computer readable storage medium, the computer readable storage medium stores computer execution instructions, when the processor executes the computer execution instructions, the method as described in the first aspect and various possible designs of the first aspect is realized.

[0068] The technical solution of the present application has the following advantages:

[0069] The present application provides a battery pack abnormality monitoring method and device, an electronic device and a storage medium, the method comprising: obtaining discharge monitoring data of a battery pack to be tested; extracting first cell voltage data corresponding to each mileage interval in the discharge monitoring data according to a preset mileage interval; for any mileage interval, determining a first cell voltage difference average value of the mileage interval according to the first cell voltage data corresponding to the mileage interval; predicting a first cell voltage difference standard value of the next mileage interval of the battery pack to be tested according to a first cell voltage difference change trend represented by the first cell voltage difference average values of the mileage intervals; wherein the next mileage interval is the current mileage interval of the battery pack to be tested; determining an abnormality monitoring result of the battery pack to be tested according to a size relationship between an actual cell voltage difference of the battery pack to be tested in the next mileage interval and the first cell voltage difference standard value. The method provided by the above solution determines the first cell voltage difference standard value of the battery pack to be tested in the current mileage interval by considering the influence of vehicle mileage on cell voltage difference, and then determines the abnormality monitoring result of the battery pack to be tested, thereby ensuring the accuracy of the finally obtained abnormality monitoring result. BRIEF DESCRIPTION OF DRAWINGS

[0070] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the drawings needed in the embodiment or prior art description will be briefly introduced below. Obviously, the drawings in the following description are some embodiments of the present application, and other drawings can also be obtained by those skilled in the art based on these drawings.

[0071] Figure 1A structural schematic diagram of a battery pack abnormality monitoring system based on which the embodiments of the present application are implemented;

[0072] Figure 2 A flowchart of a battery pack abnormality monitoring method provided by the embodiments of the present application;

[0073] Figure 3 A structural schematic diagram of a battery pack abnormality monitoring device provided by the embodiments of the present application;

[0074] Figure 4 A structural schematic diagram of an electronic device provided by the embodiments of the present application.

[0075] The specific embodiments of the present application have been shown through the above-described drawings, and will be described in more detail hereinafter. These drawings and the written description are not intended to restrict the scope of the present disclosure concept in any way, but to illustrate the concept of the present application to those skilled in the art by referring to specific embodiments. DETAILED DESCRIPTION

[0076] In order to make the objectives, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are some but not all of the embodiments of the present application. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative work fall within the scope of protection of the present application.

[0077] In addition, the terms "first", "second", and the like are only for descriptive purposes, and cannot be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. In the description of the following embodiments, the meaning of "a plurality of" is two or more, unless otherwise explicitly and specifically limited.

[0078] In the prior art, the cell voltage difference of an electric vehicle at each time point is usually determined according to the historical operation data of the electric vehicle, and then it is determined whether the battery pack of the electric vehicle is abnormal according to the size relationship between the cell voltage difference and a preset cell voltage difference threshold. However, since the cell voltage of the battery pack is affected by multiple factors during application, if the battery pack abnormality monitoring is performed based on the prior art, the accuracy of the final abnormality monitoring result cannot be guaranteed. Moreover, the prior art is usually offline detection, and there is a large time difference between the detection result and the actual time of abnormality, which cannot realize real-time detection and diagnosis of the battery pack. Especially for non-continuous and sudden abnormalities, it cannot be detected at the first time, so that the best opportunity to handle the abnormality is missed.

[0079] To solve the above problems, the battery pack abnormality monitoring method, device, electronic device and storage medium provided in the embodiments of the present application, the method comprises: obtaining discharge monitoring data of a battery pack to be tested; extracting first cell voltage data corresponding to each mileage interval in the discharge monitoring data according to a preset mileage interval; for any mileage interval, determining a first cell voltage difference average value of the mileage interval according to the first cell voltage data corresponding to the mileage interval; predicting a first cell voltage difference standard value of the battery pack to be tested in a next mileage interval according to a first cell voltage difference change trend represented by the first cell voltage difference average values of the mileage intervals; wherein the next mileage interval is a current mileage interval of the battery pack to be tested; determining an abnormality monitoring result of the battery pack to be tested according to a size relationship between an actual cell voltage difference of the battery pack to be tested in the next mileage interval and the first cell voltage difference standard value. The method provided in the above scheme considers the influence of vehicle mileage on cell voltage difference, determines the first cell voltage difference standard value of the battery pack to be tested in the current mileage interval, and then determines the abnormality monitoring result of the battery pack to be tested, thereby ensuring the accuracy of the finally obtained abnormality monitoring result.

[0080] The following specific embodiments can be combined with each other, and the same or similar concepts or processes can not be described again in some embodiments. The embodiments of the present application will be described below with reference to the accompanying drawings.

[0081] Firstly, the structure of the battery pack abnormality monitoring system based on the present application is described:

[0082] The battery pack abnormality monitoring method, device, electronic device and storage medium provided in the embodiments of the present application are suitable for cell voltage difference abnormality monitoring of a vehicle-mounted battery pack. As shown in Figure 1 The structure schematic diagram of the battery pack abnormality monitoring system based on the embodiments of the present application mainly comprises a battery pack to be tested, a data acquisition device and a battery pack abnormality monitoring device for abnormality monitoring of the battery pack to be tested. Specifically, the discharge monitoring data of the battery pack to be tested can be acquired based on the data acquisition device, and then the acquired data is sent to the battery pack abnormality monitoring device, and the device performs cell voltage difference abnormality monitoring on the battery pack to be tested according to the obtained data.

[0083] The embodiments of the present application provide a battery pack abnormality monitoring method for cell voltage difference abnormality monitoring of a vehicle-mounted battery pack. The execution subject of the embodiments of the present application is an electronic device, such as a server, a desktop computer, a notebook computer, a tablet computer and other electronic devices that can be used for cell voltage difference abnormality monitoring of a vehicle-mounted battery pack.

[0084] As shown in Figure 2 The flowchart of the battery pack abnormality monitoring method provided in the embodiments of the present application is shown, and the method comprises:

[0085] Step 201, obtaining discharge monitoring data of the battery pack to be tested.

[0086] It should be noted that the discharge monitoring data is the working condition monitoring data of the battery pack to be tested in the discharge state, that is, the battery working condition monitoring data of the electric vehicle carrying the battery pack to be tested in the driving process.

[0087] Specifically, in an embodiment, historical full data of the battery pack to be tested can be obtained; and the discharge monitoring data is filtered from the historical full data according to the current information.

[0088] The discharge monitoring data at least includes cell voltage data, SOC data and mileage data of the battery pack to be tested in the discharge state.

[0089] Specifically, it can be determined that the data with the output current value belonging to the interval [0A, 15A] is the working condition monitoring data of the battery to be tested in the discharge state.

[0090] Step 202, according to the preset mileage interval, extracting the first cell voltage data corresponding to each mileage interval in the discharge monitoring data.

[0091] It should be noted that as the mileage of the vehicle increases, the battery pack carried by the vehicle will also age to a certain extent, so the mileage of the vehicle can be used as an important influencing factor of the differential pressure abnormality of the battery pack, and then the discharge monitoring data of the battery pack to be tested is analyzed. The preset mileage interval can be set to 10km, 20km, etc.

[0092] Step 203, for any mileage interval, determining the first cell pressure difference average value of the mileage interval according to the first cell voltage data corresponding to the mileage interval.

[0093] The cell pressure difference mainly refers to the difference between the highest cell voltage and the lowest cell voltage in the battery pack to be tested.

[0094] Specifically, for any mileage interval, the cell pressure difference corresponding to each time point in the mileage interval can be determined according to the first cell voltage data, and then the first cell pressure difference average value of the mileage interval is determined. The highest cell voltage and the lowest cell voltage corresponding to each time point in the mileage interval can also be determined according to the first cell voltage data, and then the highest cell voltage average value and the lowest cell voltage average value of the battery pack to be tested in the mileage interval are determined, and the first cell pressure difference average value of the mileage interval is obtained by calculating the difference between the highest cell voltage average value and the lowest cell voltage average value.

[0095] Step 204, according to the first cell pressure difference change trend represented by the first cell pressure difference average value of each mileage interval, predicting the first cell pressure difference standard value of the battery pack to be tested in the next mileage interval.

[0096] wherein the next mileage interval is a current mileage interval of the battery pack to be tested.

[0097] Specifically, a linear function between the first cell voltage difference average value and the mileage interval can be fitted according to the first cell voltage difference average value of each mileage interval, so as to represent the first cell voltage difference change trend, and thus the first cell voltage difference standard value of the battery pack to be tested in the next mileage interval can be predicted based on the linear function, and the first cell voltage difference standard value can be the predicted first cell voltage difference average value of the next mileage interval.

[0098] In step 205, an abnormality monitoring result of the battery pack to be tested is determined according to a size relationship between an actual cell voltage difference of the battery pack to be tested in the next mileage interval and the first cell voltage difference standard value.

[0099] Specifically, when the actual cell voltage difference of the battery pack to be tested in the next mileage interval is greater than the preset first cell voltage difference standard value and the duration reaches a first preset duration threshold, it is determined that the abnormality monitoring result of the battery pack to be tested is abnormal, otherwise, it is normal.

[0100] On the basis of the above-mentioned embodiments, in order to further improve the accuracy of the abnormality monitoring result, as a kind of implementable mode, in an embodiment, the method further comprises:

[0101] In step 301, the second cell voltage data corresponding to each SOC interval is extracted from the discharge monitoring data according to a preset SOC interval.

[0102] In step 302, for any SOC interval, the second cell voltage difference average value of the SOC interval is determined according to the second cell voltage data corresponding to the SOC interval.

[0103] In step 303, the second cell voltage difference standard value of the battery pack to be tested in the next SOC interval is predicted according to the second cell voltage difference change trend represented by the second cell voltage difference average value of each SOC interval.

[0104] wherein the next SOC interval is a current SOC interval of the battery pack to be tested, each SOC interval belongs to the same discharge period, and the battery pack to be tested ends charging and enters a new discharge period, and the discharge period ends when the battery pack to be tested enters charging state again. The preset SOC interval can be set to 10%, 20%, etc.

[0105] It should be noted that, since the SOC of the battery continuously changes during discharging, the cell voltage difference at different SOC has certain difference, and therefore the SOC can be used as another important influencing factor of the battery pack voltage difference abnormality, which is conducive to improving the accuracy of the finally obtained abnormality monitoring result.

[0106] Specifically, for any SOC interval, the second cell voltage difference average value of the SOC interval can be determined according to the second cell voltage data, and then a linear function between the second cell voltage difference average value and the SOC interval can be fitted to represent the second cell voltage difference change trend, so that the second cell voltage difference standard value of the next SOC interval of the to-be-tested battery pack can be predicted based on the linear function, and the second cell voltage difference standard value can be the predicted second cell voltage difference average value of the next SOC interval.

[0107] Further, in an embodiment, when the actual cell voltage difference of the to-be-tested battery pack in the next mileage interval is greater than the first cell voltage difference standard value and the duration reaches the first preset duration threshold, it can be determined whether the actual cell voltage difference exceeds the second cell voltage difference standard value of the to-be-tested battery pack in the next SOC interval; if the actual cell voltage difference exceeds the second cell voltage difference standard value of the to-be-tested battery pack in the next SOC interval and the duration reaches the second preset duration threshold, it is determined that the abnormal monitoring result of the to-be-tested battery pack is abnormal, so as to consider the influence of the two important factors of vehicle mileage and SOC on the cell voltage difference at the same time, and improve the reliability of the finally obtained abnormal monitoring result.

[0108] Specifically, in an embodiment, since the stability of the cell voltage difference of the battery pack under different SOC intervals will have certain differences, in order to further improve the accuracy of the abnormal monitoring result, the second preset duration threshold can be determined according to the end value corresponding to the next SOC interval.

[0109] For example, when the to-be-tested battery is in a discharging state, if the actual cell voltage difference in the next mileage interval (current mileage interval) is greater than the corresponding first cell voltage difference standard value and lasts for 5 frames (the duration reaches the first preset duration threshold), it is further determined whether the actual cell voltage difference exceeds the second cell voltage difference standard value of the to-be-tested battery pack in the next SOC interval (current SOC interval). If the current SOC interval is [20%, 40%], when the actual cell voltage difference exceeds the second cell voltage difference standard value and lasts for 2 frames, it is determined that the abnormal monitoring result of the to-be-tested battery pack is abnormal; if the current SOC interval is [40%, 60%], when the actual cell voltage difference exceeds the second cell voltage difference standard value and lasts for 5 frames, it is determined that the abnormal monitoring result of the to-be-tested battery pack is abnormal; if the current SOC interval is [60%, 90%], when the actual cell voltage difference exceeds the second cell voltage difference standard value and lasts for 2 frames, it is determined that the abnormal monitoring result of the to-be-tested battery pack is abnormal.

[0110] Wherein, there is a corresponding relationship between the frame and the duration, for example, the time interval of each frame of working condition monitoring message is 1s, so 5 frames last for 5 seconds.

[0111] On the basis of the above-mentioned embodiments, in order to ensure the accuracy of the prediction result of the standard value of the first cell pressure difference, and further ensure the accuracy of the abnormal monitoring result, according to the first cell pressure difference change trend represented by the first cell pressure difference average value of each mileage interval, the standard value of the first cell pressure difference of the to-be-tested battery pack in the next mileage interval is predicted, comprising:

[0112] Step 2041, according to the first cell pressure difference average value of each mileage interval, determining the correlation coefficient between adjacent mileage intervals;

[0113] Step 2042, based on the preset mileage interval interpolation prediction function, according to the correlation coefficient between each adjacent mileage interval and the first maximum cell voltage corresponding to each mileage interval, predicting the upper limit value of the first cell voltage of the to-be-tested battery pack in the next mileage interval;

[0114] Step 2043, based on the preset mileage interval interpolation prediction function, according to the correlation coefficient between each adjacent mileage interval and the first minimum cell voltage corresponding to each mileage interval, predicting the lower limit value of the first cell voltage of the to-be-tested battery pack in the next mileage interval;

[0115] Step 2044, according to the upper limit value and the lower limit value of the first cell voltage of the to-be-tested battery pack in the next mileage interval, determining the standard value of the first cell pressure difference of the to-be-tested battery pack in the next mileage interval.

[0116] Specifically, the correlation coefficient between each adjacent mileage interval can be determined according to the following expression:

[0117]

[0118] Wherein, f j (x) is the Lagrange basic polynomial, x i represents the i-th mileage interval, x j represents the j-th mileage interval, and k represents the number of currently accumulated mileage intervals. For example:

[0119] Further, the following preset mileage interval interpolation prediction function can be obtained:

[0120] P(x1)=V max0 *f0(x)+V max1 *f1(x)+…

[0121] P(x2)=V min0 *f0(x)+V min1 *f1(x)+…

[0122] Wherein, V max0the first maximum cell voltage difference of the 0th (first) mileage interval, V max1 the first maximum cell voltage difference of the 1st mileage interval, V min0 the first minimum cell voltage difference of the 0th (first) mileage interval, V min1 the first minimum cell voltage difference of the 1st mileage interval, f0(x) represents the correlation coefficient between the 0th mileage interval and the 1st mileage interval, f1(x) represents the correlation coefficient between the 1st mileage interval and the 2nd mileage interval, and so on.

[0123] Specifically, the function image of the preset mileage interval interpolation prediction function can be drawn with the mileage interval ordinal number as the horizontal coordinate and the first maximum cell voltage or the first minimum cell voltage as the vertical coordinate, and then the upper limit value and the lower limit value of the first cell voltage of the test battery pack in the next mileage interval are predicted, and then the first cell voltage difference standard value of the test battery pack in the next mileage interval is determined according to the difference between the upper limit value and the lower limit value of the first cell voltage.

[0124] Specifically, in an embodiment, the correlation coefficient between adjacent SOC intervals can also be determined according to the second cell voltage difference average value of each SOC interval; the second cell voltage upper limit value of the test battery pack in the next SOC interval is predicted based on the preset SOC interval interpolation prediction function, according to the correlation coefficient between each adjacent SOC interval and the second maximum cell voltage corresponding to each SOC interval; the second cell voltage lower limit value of the test battery pack in the next SOC interval is predicted based on the preset SOC interval interpolation prediction function, according to the correlation coefficient between each adjacent SOC interval and the second minimum cell voltage corresponding to each SOC interval; and the second cell voltage difference standard value of the test battery pack in the next SOC interval is determined according to the second cell voltage difference upper limit value and the second cell voltage difference lower limit value of the test battery pack in the next SOC interval.

[0125] Wherein, the specific prediction principle of the second cell voltage difference standard value of the next SOC interval is the same as the prediction principle of the first cell voltage difference standard value of the next mileage interval provided by the above-mentioned embodiment, which will not be repeated here.

[0126] It should be noted that the present application adopts Lagrange interpolation method to predict the second cell voltage difference standard value of the next SOC interval and the first cell voltage difference standard value of the next mileage interval. The prediction function (preset mileage interval interpolation prediction function) has unstable characteristics in prediction value with the increase of the number of working condition monitoring data message frames, and the value of the interpolation polynomial may suddenly appear a large deviation, and the corresponding polynomial needs to be recalculated every time the number of interpolations increases. Therefore, the expression is written as: The barycentric weight is defined as: The expression can be simplified as: f(x)=(x-x0)(x-x1)...(x-x k ), that is Based on n fixed points in the rectangular coordinate system, Lagrange interpolation can be calculated simply and quickly with O(n 2 ) complexity. When the number of interpolation points increases by one, divide each w j by (x j -x k+1 ) to get new barycentric weights w k+1 . When the number of interpolation points tends to infinity, the maximum deviation tends to zero, and excellent numerical stability can be achieved. Using the barycentric interpolation polynomial, the internal relationship and regularity of the battery voltage, mileage, and SOC data characteristics can be obtained. Therefore, the preset mileage interval interpolation prediction function P(x1) can be expressed as:

[0127] Further, after obtaining the abnormal monitoring result of the to-be-tested battery pack, the abnormal monitoring result is output, and information corresponding to the to-be-tested battery pack, such as the vehicle model, the battery cell material, the battery cell capacity, the battery cell supplier, the battery string and parallel connection, and the algorithm scenario, is output, so as to reflect the influence relationship between the first battery cell pressure difference standard value and / or the second battery cell pressure difference standard value and the vehicle model, the battery cell material, the battery cell capacity, the battery cell supplier, the battery string and parallel connection, and the algorithm scenario.

[0128] The battery pack abnormal monitoring method provided by the embodiments of the present application obtains the discharge monitoring data of the to-be-tested battery pack; extracts the first battery cell voltage data corresponding to each mileage interval in the discharge monitoring data according to a preset mileage interval; for any mileage interval, determines the first battery cell pressure difference average value of the mileage interval according to the first battery cell voltage data corresponding to the mileage interval; predicts the first battery cell pressure difference standard value of the to-be-tested battery pack in the next mileage interval according to the first battery cell pressure difference change trend represented by the first battery cell pressure difference average values of the mileage intervals; wherein the next mileage interval is the current mileage interval of the to-be-tested battery pack; and determines the abnormal monitoring result of the to-be-tested battery pack according to the size relationship between the actual battery cell pressure difference and the first battery cell pressure difference standard value of the to-be-tested battery pack in the next mileage interval. The method provided by the above scheme considers the influence of vehicle mileage on battery cell pressure difference, determines the first battery cell pressure difference standard value of the to-be-tested battery pack in the current mileage interval, and then determines the abnormal monitoring result of the to-be-tested battery pack, thereby ensuring the accuracy of the finally obtained abnormal monitoring result. Furthermore, the influence of the SOC interval on the battery cell pressure difference of the to-be-tested battery pack is further combined to determine the abnormal monitoring result of the to-be-tested battery pack, thereby further improving the accuracy of the abnormal monitoring result.

[0129] The embodiment of the present application provides a battery pack abnormality monitoring device for executing the battery pack abnormality monitoring method provided by the above embodiment.

[0130] As shown in Figure 3 The battery pack abnormality monitoring device 30 provided by the embodiment of the present application includes an acquisition module 301, a segmentation module 302, a determination module 303, a prediction module 304 and a monitoring module 305.

[0131] The acquisition module is configured to acquire discharge monitoring data of a battery pack to be tested; the segmentation module is configured to extract, according to a preset mileage interval, first cell voltage data corresponding to each mileage interval in the discharge monitoring data; the determination module is configured to determine, for any mileage interval, a first cell voltage difference average value of the mileage interval according to the first cell voltage data corresponding to the mileage interval; the prediction module is configured to predict a first cell voltage difference standard value of a next mileage interval of the battery pack to be tested according to a first cell voltage difference change trend represented by the first cell voltage difference average values of the mileage intervals; and the monitoring module is configured to determine an abnormality monitoring result of the battery pack to be tested according to a size relationship between an actual cell voltage difference of the battery pack to be tested in the next mileage interval and the first cell voltage difference standard value.

[0132] Specifically, in an embodiment, the prediction module is further configured to:

[0133] extract, according to a preset SOC interval, second cell voltage data corresponding to each SOC interval in the discharge monitoring data;

[0134] determine, for any SOC interval, a second cell voltage difference average value of the SOC interval according to the second cell voltage data corresponding to the SOC interval;

[0135] predict a second cell voltage difference standard value of a next SOC interval of the battery pack to be tested according to a second cell voltage difference change trend represented by the second cell voltage difference average values of the SOC intervals; and the next SOC interval is a current SOC interval of the battery pack to be tested, and the SOC intervals belong to a same discharge period.

[0136] Specifically, in an embodiment, the monitoring module is specifically configured to:

[0137] when the actual cell voltage difference of the battery pack to be tested in the next mileage interval is greater than the first cell voltage difference standard value and a duration reaches a first preset duration threshold, determine whether the actual cell voltage difference exceeds a second cell voltage difference standard value of the battery pack to be tested in the next SOC interval;

[0138] If the actual cell pressure difference exceeds the second cell pressure difference standard value of the next SOC interval of the to-be-tested battery pack and the duration reaches the second preset duration threshold, it is determined that the abnormality monitoring result of the to-be-tested battery pack is abnormal.

[0139] Specifically, in an embodiment, the monitoring module is further configured to:

[0140] According to the end value corresponding to the next SOC interval, determine the second preset duration threshold.

[0141] Specifically, in an embodiment, the prediction module is specifically configured to:

[0142] According to the first cell pressure difference average value of each mileage interval, determine the correlation coefficient between adjacent mileage intervals;

[0143] Based on the preset mileage interval interpolation prediction function, according to the correlation coefficient between each adjacent mileage interval and the first maximum cell voltage corresponding to each mileage interval, predict the upper limit value of the first cell voltage of the to-be-tested battery pack in the next mileage interval;

[0144] Based on the preset mileage interval interpolation prediction function, according to the correlation coefficient between each adjacent mileage interval and the first minimum cell voltage corresponding to each mileage interval, predict the lower limit value of the first cell voltage of the to-be-tested battery pack in the next mileage interval;

[0145] According to the upper limit value and the lower limit value of the first cell voltage of the to-be-tested battery pack in the next mileage interval, determine the first cell pressure difference standard value of the to-be-tested battery pack in the next mileage interval.

[0146] Specifically, in an embodiment, the prediction module is specifically configured to:

[0147] According to the second cell pressure difference average value of each SOC interval, determine the correlation coefficient between adjacent SOC intervals;

[0148] Based on the preset SOC interval interpolation prediction function, according to the correlation coefficient between each adjacent SOC interval and the second maximum cell voltage corresponding to each SOC interval, predict the upper limit value of the second cell voltage of the to-be-tested battery pack in the next SOC interval;

[0149] Based on the preset SOC interval interpolation prediction function, according to the correlation coefficient between each adjacent SOC interval and the second minimum cell voltage corresponding to each SOC interval, predict the lower limit value of the second cell voltage of the to-be-tested battery pack in the next SOC interval;

[0150] According to the upper limit value and the lower limit value of the second cell voltage of the to-be-tested battery pack in the next SOC interval, determine the second cell pressure difference standard value of the to-be-tested battery pack in the next SOC interval.

[0151] Specifically, in an embodiment, the obtaining module, specifically for:

[0152] obtaining historical full data of the battery pack to be tested;

[0153] filtering discharge monitoring data from the historical full data according to the current information;

[0154] The discharge monitoring data at least includes cell voltage data, SOC data and mileage data of the battery pack to be tested in a discharge state.

[0155] As for the battery pack abnormality monitoring device in the embodiment, the specific manner in which each module performs operations has been described in detail in the embodiment related to the method, and will not be described in detail here.

[0156] The battery pack abnormality monitoring device provided by the embodiment of the present application is used to execute the battery pack abnormality monitoring method provided by the above-mentioned embodiment, and the implementation manner and principle are the same, and will not be described again.

[0157] The embodiment of the present application provides an electronic device for executing the battery pack abnormality monitoring method provided by the above-mentioned embodiment.

[0158] As Figure 4 shown, it is a structure schematic diagram of the electronic device provided by the embodiment of the present application. The electronic device 40 comprises at least one processor 41 and a memory 42.

[0159] The memory stores computer execution instructions; the at least one processor executes the computer execution instructions stored in the memory, so that the at least one processor executes the battery pack abnormality monitoring method provided by the above-mentioned embodiment.

[0160] The electronic device provided by the embodiment of the present application is used to execute the battery pack abnormality monitoring method provided by the above-mentioned embodiment, and the implementation manner and principle are the same, and will not be described again.

[0161] The embodiment of the present application provides a computer readable storage medium, and the computer readable storage medium stores computer execution instructions. When the processor executes the computer execution instructions, the battery pack abnormality monitoring method provided by any one of the above-mentioned embodiments is realized.

[0162] The storage medium containing computer executable instructions of the embodiment of the present application can be used to store the computer execution instructions of the battery pack abnormality monitoring method provided in the above-mentioned embodiment, and the implementation manner and principle are the same, and will not be described again.

[0163] In several embodiments provided in the present application, it should be understood that the disclosed apparatus and method can be implemented by other manners. For example, the apparatus embodiments described above are merely illustrative, for example, the division of units is merely a logical function division, and actual implementation can have another division manner, for example, a plurality of units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the coupling or direct coupling or communication connection between the units shown or discussed can be indirect coupling or communication connection through some interfaces, apparatuses or units, and can be electrical, mechanical or other forms.

[0164] The units described as separate components can or can not be physically separate, and the components shown as units can or can not be physical units, i.e., can be located in one place or can be distributed to a plurality of network units. Part or all of the units can be selected according to actual needs to achieve the purpose of the embodiment.

[0165] In addition, the functional units in each embodiment of the present application can be integrated in one processing unit, or each unit can be physically present separately, or two or more units can be integrated in one unit. The integrated unit can be realized in the form of hardware or in the form of hardware plus software functional unit.

[0166] The integrated unit realized in the form of software functional unit can be stored in a computer readable storage medium. The software functional unit is stored in a storage medium, including a plurality of instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) or a processor to execute part of the steps of the method of each embodiment of the present application. The storage medium described above includes a U disk, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, and various program code storage media.

[0167] Those skilled in the art can clearly understand that, for the convenience and brevity of description, only the division of the above functional modules is taken as an example, and in actual application, the above functions can be completed by different functional modules according to needs, i.e., the internal structure of the apparatus is divided into different functional modules to complete all or part of the functions described above. The specific working process of the apparatus described above can refer to the corresponding process in the foregoing method embodiments, which will not be described here.

[0168] Finally, it should be noted that: the above embodiments are only used to illustrate the technical solutions of the present application, but not to limit them; although the present application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that: it can still modify the technical solutions recorded in the foregoing embodiments, or make equivalent replacement to part or all of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the scope of the technical solutions of the embodiments of the present application.

Claims

1. A battery pack abnormality monitoring method characterized by comprising: The method comprises: obtaining discharge monitoring data of a battery pack to be tested; extracting first cell voltage data corresponding to each mileage interval from the discharge monitoring data according to preset mileage intervals; for any mileage interval, determining a first cell voltage difference average value of the mileage interval according to the first cell voltage data corresponding to the mileage interval; predicting a first cell voltage difference standard value of the battery pack to be tested in a next mileage interval according to a first cell voltage difference change trend represented by the first cell voltage difference average values of the mileage intervals, wherein the next mileage interval is a current mileage interval of the battery pack to be tested; determining an abnormal monitoring result of the battery pack to be tested according to a size relationship between an actual cell voltage difference of the battery pack to be tested in the next mileage interval and the first cell voltage difference standard value; the method further comprises: determining a correlation coefficient between adjacent mileage intervals according to the first cell voltage difference average values of the mileage intervals; predicting an upper limit value of the first cell voltage of the battery pack to be tested in the next mileage interval according to the correlation coefficient between the adjacent mileage intervals and the first maximum cell voltage corresponding to each mileage interval based on a preset mileage interval interpolation prediction function; predicting a lower limit value of the first cell voltage of the battery pack to be tested in the next mileage interval according to the correlation coefficient between the adjacent mileage intervals and the first minimum cell voltage corresponding to each mileage interval based on the preset mileage interval interpolation prediction function; determining the first cell voltage difference standard value of the battery pack to be tested in the next mileage interval according to the upper limit value and the lower limit value of the first cell voltage of the battery pack to be tested in the next mileage interval; the method further comprises: extracting second cell voltage data corresponding to each SOC interval from the discharge monitoring data according to preset SOC intervals; for any SOC interval, determining a second cell voltage difference average value of the SOC interval according to the second cell voltage data corresponding to the SOC interval; predicting a second cell voltage difference standard value of the battery pack to be tested in a next SOC interval according to a second cell voltage difference change trend represented by the second cell voltage difference average values of the SOC intervals, wherein the next SOC interval is a current SOC interval of the battery pack to be tested, and each SOC interval belongs to the same discharge period; the method further comprises: when the actual cell voltage difference of the battery pack to be tested in the next mileage interval is greater than the first cell voltage difference standard value and the duration reaches a first preset duration threshold, determining whether the actual cell voltage difference exceeds the second cell voltage difference standard value of the battery pack to be tested in the next SOC interval. If the actual cell voltage difference exceeds the second cell voltage difference standard value of the to-be-tested battery pack in the next SOC interval and the duration reaches a second preset duration threshold, it is determined that the abnormal monitoring result of the to-be-tested battery pack is abnormal.

2. The method of claim 1, wherein, Also includes: According to the end value corresponding to the next SOC interval, determine the second preset duration threshold.

3. The method of claim 1, wherein, The second cell voltage difference change trend represented by the second cell voltage difference average value of each SOC interval is used to predict the second cell voltage difference standard value of the to-be-tested battery pack in the next SOC interval, including: According to the correlation coefficient between adjacent SOC intervals, determine the correlation coefficient between adjacent SOC intervals according to the second cell voltage difference average value of each SOC interval; Based on the preset SOC interval interpolation prediction function, according to the correlation coefficient between each adjacent SOC interval and the second maximum cell voltage corresponding to each SOC interval, predict the upper limit value of the second cell voltage of the to-be-tested battery pack in the next SOC interval; Based on the preset SOC interval interpolation prediction function, according to the correlation coefficient between each adjacent SOC interval and the second minimum cell voltage corresponding to each SOC interval, predict the lower limit value of the second cell voltage of the to-be-tested battery pack in the next SOC interval; According to the upper limit value and the lower limit value of the second cell voltage of the to-be-tested battery pack in the next SOC interval, determine the second cell voltage difference standard value of the to-be-tested battery pack in the next SOC interval.

4. The method of claim 1, wherein, The acquisition of the discharge monitoring data of the to-be-tested battery pack includes: Acquire the historical full data of the to-be-tested battery pack; According to the current information, filter the discharge monitoring data in the historical full data; Wherein, the discharge monitoring data at least includes the cell voltage data, SOC data and mileage data of the to-be-tested battery pack in the discharge state.

5. A battery pack abnormality monitoring apparatus characterized by comprising: Includes: An acquisition module is configured to acquire discharge monitoring data of a to-be-tested battery pack. A segmentation module is configured to extract, according to a preset mileage interval, first cell voltage data corresponding to each mileage interval from the discharge monitoring data. A determination module is configured to determine, for any mileage interval, a first cell voltage difference average value of the mileage interval according to first cell voltage data corresponding to the mileage interval. A prediction module is configured to predict a first cell voltage difference standard value of a next mileage interval of the to-be-tested battery pack according to a first cell voltage difference change trend represented by first cell voltage difference average values of each mileage interval, wherein the next mileage interval is a current mileage interval of the to-be-tested battery pack. A monitoring module is configured to determine an abnormal monitoring result of the to-be-tested battery pack according to a size relationship between an actual cell voltage difference of the to-be-tested battery pack in the next mileage interval and the first cell voltage difference standard value. The prediction module is specifically configured to: Determine a correlation coefficient between adjacent mileage intervals according to the first cell voltage difference average value of each mileage interval. Based on a preset mileage interval interpolation prediction function, predict a first cell voltage upper limit value of the to-be-tested battery pack in the next mileage interval according to the correlation coefficient between each adjacent mileage interval and a first maximum cell voltage corresponding to each mileage interval. The prediction module is further configured to: extract, according to a preset SOC interval, second battery cell voltage data corresponding to each SOC interval in the discharge monitoring data; for any SOC interval, determine a second battery cell voltage difference average value of the SOC interval according to second battery cell voltage data corresponding to the SOC interval; predict a second battery cell voltage difference standard value of the battery pack to be tested in a next SOC interval according to a second battery cell voltage difference change trend represented by the second battery cell voltage difference average values of the SOC intervals, wherein the next SOC interval is a current SOC interval of the battery pack to be tested, and each of the SOC intervals belongs to a same discharge cycle; the monitoring module is specifically configured to: when the actual battery cell voltage difference of the battery pack to be tested in the next mileage interval is greater than the first battery cell voltage difference standard value and the duration reaches a first preset duration threshold, determine whether the actual battery cell voltage difference exceeds the second battery cell voltage difference standard value of the battery pack to be tested in the next SOC interval; if the actual battery cell voltage difference exceeds the second battery cell voltage difference standard value of the battery pack to be tested in the next SOC interval and the duration reaches a second preset duration threshold, determine that the abnormal monitoring result of the battery pack to be tested is abnormal. comprise: at least one processor and a memory; 6. An electronic device, comprising: the memory stores computer execution instructions; the at least one processor executes the computer execution instructions stored in the memory, so that the at least one processor executes the method of any one of claims 1 to 4. The computer readable storage medium stores computer execution instructions, and when the processor executes the computer execution instructions, the method of any one of claims 1 to 4 is realized. ​ 7. A computer-readable storage medium, characterized in that, ​

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