Lithium ion battery operation state evaluation system based on lithium ion battery operation data

Abstract

The invention discloses a lithium ion battery operation state evaluation system based on lithium ion battery operation data, which relates to the technical field of battery state evaluation and comprises a lithium ion battery end, a data acquisition module, a data processing module, a feature extraction module and a state evaluation module. The lithium ion battery end is configured with a lithium ion battery and is started to operate, the data acquisition module acquires battery operation data of the lithium ion battery in real time, the data processing module processes the battery operation data to generate normalized operation data of the lithium ion battery, and the feature extraction module extracts effective features of the normalized operation data to obtain a feature extraction result; the method comprises the steps that a state evaluation module obtains a characteristic data set of each lithium ion battery, weight calculation is carried out according to the characteristic data sets to obtain a battery operation characteristic coefficient of each lithium ion battery, and finally, the state evaluation module evaluates the operation state of the lithium ion batteries in real time according to the battery operation characteristic coefficients of the lithium ion batteries. And executing different processing measures according to the evaluation result.

Description

Technical Field

[0001] The present invention relates to the technical field of battery status evaluation, in particular to a lithium ion battery operating status evaluation system based on lithium ion battery operating data. Background Art

[0002] At present, lithium-ion batteries have been widely used in various electronic devices, electric vehicles and other fields. However, during long-term use, lithium-ion batteries are prone to performance degradation and shortened life, which poses a safety hazard to users. In order to ensure the safe and stable operation of lithium-ion batteries, it is necessary to monitor and evaluate the battery operating status in real time.

[0003] The existing lithium-ion battery status assessment methods mainly rely on manual experience, which has the problems of inaccurate assessment results and poor real-time performance. Therefore, it is of great significance to study a lithium-ion battery operating status assessment system based on lithium-ion battery operating data. Summary of the invention

[0004] In order to solve the above problems, an object of the present invention is to provide a lithium ion battery operating state evaluation system based on lithium ion battery operating data.

[0005] The object of the present invention can be achieved by the following technical solutions: A lithium-ion battery operation status evaluation system based on lithium-ion battery operation data includes a lithium-ion battery terminal, and the lithium-ion battery terminal is communicatively connected to a data acquisition module, a data processing module, a feature extraction module, and a status evaluation module;

[0006] The lithium-ion battery terminal is used to configure the lithium-ion battery and start the operation of the lithium-ion battery;

[0007] The data acquisition module is used to collect battery operation data corresponding to the lithium-ion battery in real time;

[0008] The data processing module is used to process the battery operation data of the lithium-ion battery, thereby generating normalized operation data corresponding to the lithium-ion battery;

[0009] The feature extraction module is used to perform effective feature extraction on the normalized operation data of the lithium-ion battery, obtain a feature data set of each lithium-ion battery, perform weight calculation according to the feature data set, and then obtain a battery operation feature coefficient corresponding to each lithium-ion battery;

[0010] The state evaluation module is used to evaluate the operating state of the lithium-ion battery in real time according to the battery operating characteristic coefficient corresponding to the lithium-ion battery, and to execute different processing measures according to the evaluation result.

[0011] Furthermore, the process of configuring the lithium-ion battery at the lithium-ion battery end and starting the operation of the lithium-ion battery includes:

[0012] The lithium-ion battery terminal stores a number of lithium-ion batteries, which are numbered and recorded as i, i=1, 2, 3, ..., n, where n is a natural number greater than 0. Starting from number i=1, the operating parameters of each lithium-ion battery are configured in order from small to large values ​​of i. The operating parameters include operating time, starting voltage, starting current, number of charge and discharge cycles, operating temperature, charge and discharge protection voltage, and static internal resistance;

[0013] Check whether each lithium-ion battery has physical damage. If not, connect the lithium-ion battery to the device that needs to be powered. When the positive and negative poles of the lithium-ion battery are connected correctly, the lithium-ion battery starts running according to the configured operating parameters, and the device that needs to be powered is successfully powered on. If yes, replace the lithium-ion battery with physical damage.

[0014] Furthermore, the process of the data acquisition module collecting the battery operation data corresponding to the lithium-ion battery in real time includes:

[0015] The data acquisition module is provided with a plurality of data acquisition nodes, each of which collects battery operation data corresponding to a lithium-ion battery. The data acquisition nodes are provided with different node states, including normal operation state, abnormal operation state and standby state.

[0016] When the data collection node is in normal operation, the battery operation data of the lithium-ion battery is collected in real time. The battery operation data includes the operation voltage, operation current, number of charging cycles, number of discharging cycles, operation temperature and working time.

[0017] When a data acquisition node is in an abnormal operating state, the self-check program corresponding to the data acquisition node itself is started to obtain the internal operating data of the data acquisition node. The self-check program locates the specific inspection items of the abnormality of the current data acquisition node based on the internal operating data, and repairs it by the set correction program. If the repair cannot be completed, the node state of the current data acquisition node is converted to standby state, and remote maintenance is performed by data security personnel.

[0018] Furthermore, the data processing module processes the battery operation data of the lithium-ion battery to generate normalized operation data corresponding to the lithium-ion battery, including:

[0019] The data processing module processes the battery operation data corresponding to the lithium-ion battery, including noise filtering, data verification and data normalization. The battery operation data is subjected to noise filtering to convert the battery operation data into low-noise data, the low-noise data is subjected to data verification to convert the low-noise data into normalized data, the normalized data is subjected to data normalization to convert the normalized data into normalized operation data.

[0020] Furthermore, the process of normalizing the normalized data includes:

[0021] The operating voltage, operating current and operating temperature in the normalized data are classified as target data, and the number of charging cycles, the number of discharging cycles and the working time in the normalized data are classified as non-target data; the numerical values ​​of the operating voltage, the operating current and the operating temperature in the target data are recorded as V, A and C respectively, the maximum value and the minimum value of the operating voltage are recorded as V-max and V-min respectively, the maximum value and the minimum value of the operating current are recorded as A-max and A-min respectively, and the maximum value and the minimum value of the operating temperature are recorded as C-max and C-min respectively;

[0022] Then, the values ​​of the operating voltage, operating current and operating temperature in the target data are mapped to values ​​between [0, 1], and the values ​​of the operating voltage, operating current and operating temperature between [0, 1] are recorded as X1, X2 and X3 respectively;

[0023] X1, X2 and X3 are represented as follows:

[0024]

[0025]

[0026] No operations are performed on non-target data;

[0027] When all target data have been normalized, normalized operating data corresponding to the lithium-ion battery is generated.

[0028] Furthermore, the feature extraction module performs effective feature extraction on the normalized operating data of the lithium-ion battery, and the process of obtaining the feature data set of each lithium-ion battery includes:

[0029] Setting different characteristic value extraction intervals of normalized operating data of the lithium-ion battery, the characteristic value extraction intervals including a voltage effective characteristic value interval corresponding to the operating voltage, a current effective characteristic value interval corresponding to the operating current, and a temperature effective characteristic value interval corresponding to the operating temperature;

[0030] The voltage effective characteristic value interval, current effective characteristic value interval and temperature effective characteristic value interval are denoted as Ω-v, Ω-a and Ω-c respectively. For each lithium-ion battery, all operating voltages, operating currents and operating temperatures of X1∈Ω-v, X2∈Ω-a and X3∈Ω-c are extracted as effective analysis data, and the effective analysis data of their respective operating voltages, operating currents and operating temperatures are integrated as the characteristic data set of each lithium-ion battery.

[0031] Furthermore, the process of performing weight calculation according to the characteristic data set to obtain the battery operation characteristic coefficient corresponding to each lithium-ion battery includes:

[0032] The total amount of data in the characteristic data set corresponding to the lithium-ion battery numbered i is recorded as D[i], and the amount of data of the operating voltage, operating current, and operating temperature in the characteristic data set corresponding to the lithium-ion battery numbered i is counted and recorded as d[i]-v, d[i]-a, and d[i]-c, respectively;

[0033] Obtain the respective weights of the operating voltage, operating current and operating temperature, denoted as qz1, qz2 and qz3, qz1 = d[i]-v / D[i], qz2 = d[i]-a / D[i], qz3 = d[i]-c / D[i], obtain the comprehensive weighting coefficients corresponding to the operating voltage, operating current and operating temperature of each lithium-ion battery, and denote the comprehensive weighting coefficient corresponding to the lithium-ion battery numbered i as τ[i];

[0034] τ[i]=(X1[i]`×qz1+X2[i]`×qz2+X3[i]`×qz3);

[0035] Wherein, X1[i]`, X2[i]` and X3[i]` are respectively the average values ​​of the operating voltage corresponding value X1, the operating current corresponding value X2 and the operating temperature corresponding value X3 of the lithium-ion battery numbered i at several times, and the comprehensive weighted coefficient of each lithium-ion battery is used as the battery operation characteristic coefficient corresponding to the lithium-ion battery.

[0036] Furthermore, the state evaluation module evaluates the operation state of the lithium-ion battery in real time according to the battery operation characteristic coefficient corresponding to the lithium-ion battery, and executes different treatment measures according to the evaluation result, including:

[0037] The value range of the battery operation characteristic coefficient corresponding to lithium-ion batteries is (0, 1);

[0038] Set the coefficient determination intervals corresponding to the abnormal operation state and the normal operation state of the lithium-ion battery, and record the coefficient determination interval corresponding to the abnormal operation state of the lithium-ion battery as Ω 正常 , the coefficient judgment interval corresponding to the normal operation of the lithium-ion battery is recorded as Ω 正常 , where Ω 正常 The value range of Ω is [0.6, 1), 异常 The value range of is (0, 0.6);

[0039] When τ[i]∈Ω 正常 When the operating status of the lithium-ion battery with the corresponding number is evaluated as normal operating status, no treatment measures are performed;

[0040] When τ[i]∈Ω 异常 When the operating status of the lithium-ion battery with the corresponding number is evaluated as an abnormal operating status, the corresponding processing measures are: cut off the power supply between the current lithium-ion battery and the equipment it powers, and arrange relevant maintenance personnel to inspect the lithium-ion battery.

[0041] Compared with the prior art, the beneficial effects of the present invention are as follows: the data acquisition module collects the battery operation data corresponding to the lithium-ion battery in real time, and the data processing module processes the different aspects of the battery operation data of each lithium-ion battery to generate the normalized operation data of the lithium-ion battery, the feature extraction module extracts the effective data part in the normalized operation data to generate the feature data set corresponding to the lithium-ion battery, and the battery operation characteristic coefficient corresponding to the lithium-ion battery is obtained according to the feature data set. Finally, the state evaluation module evaluates the operation state of the lithium-ion battery in real time according to the battery operation characteristic coefficient, and promptly finds the lithium-ion battery in an abnormal operation state, and the relevant maintenance personnel execute treatment measures for the lithium-ion battery in the abnormal operation state, which effectively improves the accuracy and real-time degree of the lithium-ion battery operation state evaluation, and ensures the safe and stable operation of the lithium-ion battery. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] Figure 1 It is a schematic diagram of the present invention. DETAILED DESCRIPTION

[0043] like Figure 1 As shown, a lithium-ion battery operation status evaluation system based on lithium-ion battery operation data includes a lithium-ion battery terminal, and the lithium-ion battery terminal is communicatively connected to a data acquisition module, a data processing module, a feature extraction module, and a status evaluation module;

[0044] The lithium-ion battery terminal is used to configure the lithium-ion battery and start the operation of the lithium-ion battery;

[0045] The data acquisition module is used to collect battery operation data corresponding to the lithium-ion battery in real time;

[0046] The data processing module is used to process the battery operation data of the lithium-ion battery, thereby generating normalized operation data corresponding to the lithium-ion battery;

[0047] The feature extraction module is used to perform effective feature extraction on the normalized operation data of the lithium-ion battery, obtain a feature data set of each lithium-ion battery, perform weight calculation according to the feature data set, and then obtain a battery operation feature coefficient corresponding to each lithium-ion battery;

[0048] The state evaluation module is used to evaluate the operating state of the lithium-ion battery in real time according to the battery operating characteristic coefficient corresponding to the lithium-ion battery, and to execute different processing measures according to the evaluation result.

[0049] It should be further explained that, in a specific implementation process, the process of configuring a lithium-ion battery at the lithium-ion battery end and starting the operation of the lithium-ion battery includes:

[0050] The lithium-ion battery terminal stores a number of lithium-ion batteries, and the number of lithium-ion batteries is numbered, and the number is recorded as i, then i=1, 2, 3, ..., n, where n is a natural number greater than 0;

[0051] Starting from number i=1, the operating parameters of each lithium-ion battery are configured in order from small to large values ​​of i, and the operating parameters include operating time, starting voltage, starting current, number of charge and discharge cycles, operating temperature, charge and discharge protection voltage, and static internal resistance;

[0052] Check whether each lithium-ion battery has physical damage. If not, connect the lithium-ion battery to the device that needs to be powered. When the positive and negative poles of the lithium-ion battery are connected correctly, the lithium-ion battery starts running according to the configured operating parameters, and the device that needs to be powered is successfully powered on. If yes, replace the lithium-ion battery with physical damage. Physical damage includes bulging, leakage, and deformation.

[0053] It should be further explained that, in the specific implementation process, the process of the data acquisition module collecting the battery operation data corresponding to the lithium-ion battery in real time includes:

[0054] The data acquisition module is provided with a plurality of data acquisition nodes, and the data acquisition module communicates and interacts with the lithium-ion battery end. Each data acquisition node is used to collect battery operation data corresponding to a lithium-ion battery, and the data acquisition node is provided with different node states;

[0055] The node status includes a normal operating state, an abnormal operating state and a standby state;

[0056] When the data acquisition node is in normal operation, the data acquisition node collects the battery operation data of the lithium-ion battery in real time. The battery operation data includes the operation voltage, operation current, number of charging cycles, number of discharging cycles, operation temperature and working time;

[0057] When the data collection node is in an abnormal operation state, the self-check program corresponding to the data collection node is started, and the self-check program obtains the internal operation data of the data collection node, and the internal operation data includes the collection rate, collection capacity and collection log of the data collection node;

[0058] The collection log records all the corresponding collection operations when the current data collection node collects battery operation data. The self-check program locates the specific inspection items of the current data collection node that are abnormal based on the internal operation data and repairs them.

[0059] The details are as follows:

[0060] When the acquisition rate is lower than the preset rate range, the acquisition rate of the current data acquisition node is located as an abnormal inspection item, and the acquisition rate of the current data acquisition node is adjusted by the set correction program;

[0061] When the collection capacity of battery operation data within a unit collection time exceeds the preset capacity threshold, the collection capacity of the current data collection node is located as an abnormal inspection item, and the correction program adjusts the data capacity of the battery operation data collected by the data collection node within a unit time;

[0062] If the correction program cannot complete the repair of the data collection node, or the collection log records a pre-defined collection operation in violation of regulations, the node state of the current data collection node will be converted to a standby state and remotely repaired by data security personnel.

[0063] It should be further explained that, in a specific implementation process, the data processing module processes the battery operation data of the lithium-ion battery, and then generates the normalized operation data corresponding to the lithium-ion battery, including:

[0064] The data processing module receives the battery operation data corresponding to the lithium-ion battery and processes the battery operation data. The processing of the battery operation data includes noise filtering, data verification and data normalization.

[0065] Performing noise filtering on battery operation data to convert the battery operation data into low-noise data, performing data verification on the low-noise data to convert the low-noise data into normalized data, performing data normalization on the normalized data to convert the normalized data into normalized operation data;

[0066] The contents of noise filtering are as follows: the battery operation data is divided into several noise-removed data segments, the noise value of each noise-removed data segment is obtained, a noise threshold is set, all noise-removed data segments whose noise values ​​exceed the noise threshold are filtered out, and all noise-removed data segments whose noise values ​​do not exceed the noise threshold are retained and integrated as low-noise data;

[0067] The contents of data verification are as follows: set the traversal step length, divide the low-noise data into several data segments to be verified according to the step length of the traversal step length, verify in turn whether each data segment to be verified has errors in data format and data content, correct the data segments to be verified with errors, and do not perform any operations on the data segments to be verified without errors, and then convert the low-noise data into normalized data after completing the traversal of all the data segments to be verified;

[0068] The operating voltage, operating current and operating temperature in the normalized data are classified as target data that need to be normalized, and the number of charging cycles, the number of discharging cycles and the working time in the normalized data are classified as non-target data that do not need to be normalized;

[0069] The target data is normalized. The contents of data normalization are as follows:

[0070] The numerical values ​​of the operating voltage, operating current and operating temperature in the target data are recorded as V, A and C respectively, the maximum value and minimum value of the operating voltage are recorded as V-max and V-min respectively, the maximum value and minimum value of the operating current are recorded as A-max and A-min respectively, and the maximum value and minimum value of the operating temperature are recorded as C-max and C-min respectively;

[0071] Then, the values ​​of the operating voltage, operating current and operating temperature in the target data are mapped to values ​​between [0, 1], and the values ​​of the operating voltage, operating current and operating temperature between [0, 1] are recorded as X1, X2 and X3 respectively;

[0072]

[0073]

[0074] No operations are performed on non-target data;

[0075] When all target data have been normalized, normalized operating data corresponding to the lithium-ion battery is generated.

[0076] It should be further explained that, in the specific implementation process, the feature extraction module performs effective feature extraction on the normalized operation data of the lithium-ion battery, and the process of obtaining the feature data set of each lithium-ion battery includes:

[0077] The feature extraction module sets different feature value extraction intervals corresponding to the normalized operating data of the lithium-ion battery, the feature value extraction intervals including a voltage effective feature value interval corresponding to the operating voltage of the lithium-ion battery, a current effective feature value interval corresponding to the operating current of the lithium-ion battery, and a temperature effective feature value interval corresponding to the operating temperature of the lithium-ion battery;

[0078] The voltage effective characteristic value interval, current effective characteristic value interval and temperature effective characteristic value interval are denoted as Ω-v, Ω-a and Ω-c respectively. For each lithium-ion battery, all operating voltages, operating currents and operating temperatures of X1∈Ω-v, X2∈Ω-a and X3∈Ω-c are extracted as effective analysis data, and the effective analysis data of their respective operating voltages, operating currents and operating temperatures are integrated as the characteristic data set of each lithium-ion battery.

[0079] It should be noted that the value range of Ω-v is (0.4, 0.8), and X1∈Ω-v means: extract the value X1 obtained after normalizing the operating voltage data, and retain the values ​​of X1 greater than 0.4 and X1 less than 0.8 as the effective value of the operating voltage analysis. The value range of Ω-a is (0.2, 0.75), and X2∈Ω-a means: extract the value X2 obtained after normalizing the operating voltage data, and retain the values ​​of X2 greater than 0.2 and X2 less than 0.75 as the operating current The effective value of the analysis, the value range of Ω-c is (0.3, 0.6), and X3∈Ω-c means: the value X3 obtained after normalizing the operating temperature data is extracted, and the values ​​of X3 greater than 0.3 and X3 less than 0.6 are retained as the effective values ​​of the operating temperature analysis, while the values ​​corresponding to the operating voltage, operating current and operating temperature outside Ω-v, Ω-a and Ω-c are extreme values, which have a negative impact on their respective data analysis. Not retaining this part of the data optimizes the efficiency of subsequent data analysis to a certain extent.

[0080] It should be further explained that, in the specific implementation process, the process of performing weight calculation according to the characteristic data set to obtain the battery operation characteristic coefficient corresponding to each lithium-ion battery includes:

[0081] Obtain a feature data set corresponding to each lithium-ion battery, record the total data volume of the feature data set corresponding to the lithium-ion battery numbered i as D[i], count the data volumes corresponding to the operating voltage, operating current, and operating temperature in the feature data set corresponding to the lithium-ion battery numbered i, and record them as d[i]-v, d[i]-a, and d[i]-c, respectively;

[0082] Then, the weights of the operating voltage, operating current and operating temperature are obtained, and the weights of the operating voltage, operating current and operating temperature are recorded as qz1, qz2 and qz3 respectively, qz1 = d[i]-v / D[i], qz2 = d[i]-a / D[i], qz3 = d[i]-c / D[i];

[0083] Then, the comprehensive weighting coefficients corresponding to the operating voltage, operating current and operating temperature of each lithium-ion battery are obtained, and the comprehensive weighting coefficient corresponding to the lithium-ion battery numbered i is recorded as τ[i], then τ[i] is expressed as follows:

[0084] τ[i]=(X1[i]`×qz1+X2[i]`×qz2+X3[i]`×qz3);

[0085] Wherein, X1[i]` is the average value of the operating voltage corresponding to the value X1 of the lithium-ion battery numbered i at several times, X2[i]` is the average value of the operating current corresponding to the value X2 of the lithium-ion battery numbered i at several times, and X3[i]` is the average value of the operating temperature corresponding to the value X3 of the lithium-ion battery numbered i at several times;

[0086] The comprehensive weighted coefficient corresponding to each lithium-ion battery is used as the battery operation characteristic coefficient corresponding to the lithium-ion battery.

[0087] It should be further explained that, in the specific implementation process, the state evaluation module evaluates the operating state of the lithium-ion battery in real time according to the battery operating characteristic coefficient corresponding to the lithium-ion battery, and executes different treatment measures according to the evaluation results, including:

[0088] The value range of the battery operation characteristic coefficient corresponding to the lithium-ion battery is (0, 1);

[0089] Set the coefficient determination intervals corresponding to the abnormal operation state and the normal operation state of the lithium-ion battery, and record the coefficient determination interval corresponding to the abnormal operation state of the lithium-ion battery as Ω 正常 , the coefficient judgment interval corresponding to the normal operation of the lithium-ion battery is recorded as Ω 正常 , where Ω 正常 The value range of Ω is [0.6, 1), 异常 The value range of is (0, 0.6);

[0090] When τ[i]∈Ω 正常 When the operating status of the lithium-ion battery with the corresponding number is evaluated as normal operating status, no treatment measures are performed;

[0091] When τ[i]∈Ω 异常 When the operating status of the lithium-ion battery with the corresponding number is evaluated as an abnormal operating status, the corresponding processing measures are: cut off the power supply between the current lithium-ion battery and the equipment it powers, and arrange relevant maintenance personnel to inspect the lithium-ion battery.

[0092] The above formulas are all calculated by removing dimensions and taking numerical values. The formula is a formula that is closest to the actual situation obtained by collecting a large amount of data and performing software simulation. The preset parameters and preset thresholds in the formula are set by technical personnel in this field according to actual conditions or obtained by simulating a large amount of data.

[0093] The above embodiments are only used to illustrate the technical method of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical method of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical method of the present invention.

Claims

1. A lithium-ion battery operating status evaluation system based on lithium-ion battery operating data, comprising a lithium-ion battery terminal, characterized in that: The lithium-ion battery terminal is communicatively connected to a data acquisition module, a data processing module, a feature extraction module and a state evaluation module; The lithium-ion battery terminal is used to configure the lithium-ion battery and start the operation of the lithium-ion battery; The data acquisition module is used to collect battery operation data corresponding to the lithium-ion battery in real time; The data processing module is used to process the battery operation data of the lithium-ion battery, thereby generating normalized operation data corresponding to the lithium-ion battery; The feature extraction module is used to perform effective feature extraction on the normalized operation data of the lithium-ion battery, obtain a feature data set of each lithium-ion battery, perform weight calculation according to the feature data set, and then obtain a battery operation feature coefficient corresponding to each lithium-ion battery; The state evaluation module is used to evaluate the operating state of the lithium-ion battery in real time according to the battery operating characteristic coefficient corresponding to the lithium-ion battery, and to execute different processing measures according to the evaluation result.

2. The lithium-ion battery operating status evaluation system based on lithium-ion battery operating data according to claim 1, characterized in that: The process of configuring a lithium-ion battery at the lithium-ion battery end and starting the operation of the lithium-ion battery includes: The lithium-ion battery terminal stores a number of lithium-ion batteries, which are numbered and recorded as i, i=1, 2, 3, ..., n, where n is a natural number greater than 0. Starting from number i=1, the operating parameters of each lithium-ion battery are configured in order from small to large values ​​of i. The operating parameters include operating time, starting voltage, starting current, number of charge and discharge cycles, operating temperature, charge and discharge protection voltage, and static internal resistance; Check whether each lithium-ion battery has physical damage. If not, connect the lithium-ion battery to the device that needs to be powered. When the positive and negative poles of the lithium-ion battery are connected correctly, the lithium-ion battery starts running according to the configured operating parameters, and the device that needs to be powered is successfully powered on. If yes, replace the lithium-ion battery with physical damage.

3. The lithium-ion battery operating status evaluation system based on lithium-ion battery operating data according to claim 2, characterized in that: The process of real-time acquisition of battery operation data corresponding to lithium-ion batteries by the data acquisition module includes: The data acquisition module is provided with a plurality of data acquisition nodes, each of which collects battery operation data corresponding to a lithium-ion battery. The data acquisition nodes are provided with different node states, including normal operation state, abnormal operation state and standby state. When the data collection node is in normal operation, the battery operation data of the lithium-ion battery is collected in real time. The battery operation data includes the operation voltage, operation current, number of charging cycles, number of discharging cycles, operation temperature and working time. When a data acquisition node is in an abnormal operating state, the self-check program corresponding to the data acquisition node itself is started to obtain the internal operating data of the data acquisition node. The self-check program locates the specific inspection items of the abnormality of the current data acquisition node based on the internal operating data, and repairs it by the set correction program. If the repair cannot be completed, the node state of the current data acquisition node is converted to standby state, and remote maintenance is performed by data security personnel.

4. The lithium-ion battery operating status evaluation system based on lithium-ion battery operating data according to claim 3, characterized in that: The data processing module processes the battery operation data of the lithium-ion battery to generate normalized operation data corresponding to the lithium-ion battery, including: The data processing module processes the battery operation data corresponding to the lithium-ion battery, including noise filtering, data verification and data normalization. The battery operation data is subjected to noise filtering to convert the battery operation data into low-noise data, the low-noise data is subjected to data verification to convert the low-noise data into normalized data, the normalized data is subjected to data normalization to convert the normalized data into normalized operation data.

5. The lithium-ion battery operating status evaluation system based on lithium-ion battery operating data according to claim 4, characterized in that: The process of normalizing data includes: The operating voltage, operating current and operating temperature in the normalized data are classified as target data, and the number of charging cycles, the number of discharging cycles and the working time in the normalized data are classified as non-target data; the numerical values ​​of the operating voltage, the operating current and the operating temperature in the target data are recorded as V, A and C respectively, the maximum value and the minimum value of the operating voltage are recorded as V-max and V-min respectively, the maximum value and the minimum value of the operating current are recorded as A-max and A-min respectively, and the maximum value and the minimum value of the operating temperature are recorded as C-max and C-min respectively; Then, the values ​​of the operating voltage, operating current and operating temperature in the target data are mapped to values ​​between [0, 1], and the values ​​of the operating voltage, operating current and operating temperature between [0, 1] are recorded as X1, X2 and X3 respectively; X1, X2 and X3 are represented as follows: No operations are performed on non-target data; When all target data have been normalized, normalized operating data corresponding to the lithium-ion battery is generated.

6. The lithium-ion battery operating status evaluation system based on lithium-ion battery operating data according to claim 5, characterized in that: The feature extraction module performs effective feature extraction on the normalized operating data of the lithium-ion battery. The process of obtaining the feature data set of each lithium-ion battery includes: Setting different characteristic value extraction intervals of normalized operating data of the lithium-ion battery, the characteristic value extraction intervals including a voltage effective characteristic value interval corresponding to the operating voltage, a current effective characteristic value interval corresponding to the operating current, and a temperature effective characteristic value interval corresponding to the operating temperature; The voltage effective characteristic value interval, current effective characteristic value interval and temperature effective characteristic value interval are denoted as Ω-v, Ω-a and Ω-c respectively. For each lithium-ion battery, all operating voltages, operating currents and operating temperatures of X1∈Ω-v, X2∈Ω-a and X3∈Ω-c are extracted as effective analysis data, and the effective analysis data of their respective operating voltages, operating currents and operating temperatures are integrated as the characteristic data set of each lithium-ion battery.

7. The lithium-ion battery operating status evaluation system based on lithium-ion battery operating data according to claim 6, characterized in that: The process of calculating the weights according to the characteristic data set and then obtaining the battery operation characteristic coefficient corresponding to each lithium-ion battery includes: The total amount of data in the characteristic data set corresponding to the lithium-ion battery numbered i is recorded as D[i], and the amount of data of the operating voltage, operating current, and operating temperature in the characteristic data set corresponding to the lithium-ion battery numbered i is counted and recorded as d[i]-v, d[i]-a, and d[i]-c, respectively; Obtain the respective weights of the operating voltage, operating current and operating temperature, denoted as qz1, qz2 and qz3, qz1 = d[i]-v / D[i], qz2 = d[i]-a / D[i], qz3 = d[i]-c / D[i], obtain the comprehensive weighting coefficients corresponding to the operating voltage, operating current and operating temperature of each lithium-ion battery, and denote the comprehensive weighting coefficient corresponding to the lithium-ion battery numbered i as τ[i]; τ[i]=(X1[i]`×qz1+X2[i]`×qz2+X3[i]`×qz3); Wherein, X1[i]`, X2[i]` and X3[i]` are respectively the average values ​​of the operating voltage corresponding value X1, the operating current corresponding value X2 and the operating temperature corresponding value X3 of the lithium-ion battery numbered i at several times, and the comprehensive weighted coefficient of each lithium-ion battery is used as the battery operation characteristic coefficient corresponding to the lithium-ion battery.

8. The lithium-ion battery operating status evaluation system based on lithium-ion battery operating data according to claim 7, characterized in that: The state assessment module assesses the operating state of the lithium-ion battery in real time according to the battery operating characteristic coefficient corresponding to the lithium-ion battery, and executes different treatment measures according to the assessment results, including: The value range of the battery operation characteristic coefficient corresponding to lithium-ion batteries is (0, 1); Set the coefficient determination intervals corresponding to the abnormal operation state and the normal operation state of the lithium-ion battery, and record the coefficient determination interval corresponding to the abnormal operation state of the lithium-ion battery as Ω 异常 , the coefficient judgment interval corresponding to the normal operation of the lithium-ion battery is recorded as Ω 正常 , where Ω 正常 The value range of Ω is [0.6, 1), 异常 The value range of is (0, 0.6); When τ[i]∈Ω 正常 When the operating status of the lithium-ion battery with the corresponding number is evaluated as normal operating status, no treatment measures are performed; When τ[i]∈Ω 异常 When the operating status of the lithium-ion battery with the corresponding number is evaluated as an abnormal operating status, the corresponding processing measures are: cut off the power supply between the current lithium-ion battery and the equipment it powers, and arrange relevant maintenance personnel to inspect the lithium-ion battery.

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