New energy vehicle battery performance detection system based on data acquisition analysis

Abstract

The present application relates to the technical field of battery performance detection, and particularly relates to a new energy automobile battery performance detection system based on data collection and analysis, which comprises a battery information unit, an instantaneous discharge unit, a time period discharge unit, an interactive division unit, a live charging unit, a charge-discharge performance unit and a display feedback unit; the present application analyzes from two angles of discharge performance stability and charging performance stability, and combines the discharge stability performance level and the charging stability index through a progressive way for combined analysis, so as to comprehensively understand the charge-discharge performance stability level of the target battery, and to reasonably manage the target battery; the discharge performance stability level of the target battery is comprehensively divided from two dimensions of instantaneous and time period in the discharge performance stability, and the charging data is subjected to real-time charging performance stability division operation, which is helpful to provide data support for subsequent charge-discharge performance stability analysis of the target battery.

Description

Technical Field

[0001] The present invention relates to the technical field of battery performance detection, and in particular to a new energy vehicle battery performance detection system based on data acquisition and analysis. Background Art

[0002] With the rapid development of electric vehicles and renewable energy, the demand for new energy batteries is increasing. As a key energy storage device, the performance and safety of new energy batteries directly affect the reliable operation of equipment. To ensure the safety, reliability and long life of batteries in use, strict testing is essential. Testing items for new energy batteries can be divided into several categories, mainly including electrical performance testing, safety performance testing, environmental adaptability testing and chemical performance testing.

[0003] However, existing technologies are unable to detect and provide feedback on the charging, discharging, and overall charging and discharging performance stability of new energy vehicle batteries, thereby reducing the rational management of new energy vehicle batteries. Furthermore, existing technologies are unable to comprehensively analyze the discharge performance stability of new energy vehicle batteries from both instantaneous and time-period perspectives, thereby reducing the accuracy of subsequent risk analysis results for the overall charging and discharging performance stability of new energy vehicle batteries.

[0004] In view of the above technical defects, a solution is now proposed. Summary of the Invention

[0005] The object of the present invention is to provide a new energy vehicle battery performance detection system based on data acquisition and analysis to solve the above-mentioned technical defects. The present invention analyzes from the two perspectives of discharge performance stability and charging performance stability, and combines the discharge stability energy level and charging stability index of the discharge in a progressive manner to comprehensively understand the charge and discharge performance stability level of the target battery, so as to rationally manage the target battery. The analysis is performed from the two dimensions of instantaneous and time period in the discharge performance stability, that is, the instantaneous discharge data is subjected to instantaneous discharge performance stability analysis and the time period discharge data is subjected to time period discharge performance stability risk analysis. At the same time, the information is processed in a layer-by-layer progressive manner to comprehensively divide the discharge performance stability level of the target battery, and the discharge performance stability of the target battery is intuitively understood in the form of information feedback, so as to rationally manage the target battery. The charging data is subjected to real-time charging performance stability division operation, so as to understand the charging performance stability level of the target battery from the perspective of charging, and at the same time, it helps to provide data support for the subsequent charge and discharge performance stability analysis of the target battery.

[0006] The object of the present invention can be achieved by the following technical solutions: a new energy vehicle battery performance detection system based on data acquisition and analysis, including a battery information unit, an instantaneous discharge unit, a time period discharge unit, an interactive division unit, a live charging unit, a charge and discharge performance unit, and a display feedback unit;

[0007] The battery information unit is used to collect instantaneous discharge data, period discharge data and charging data of the target battery, and send the instantaneous discharge data, period discharge data and charging data to the instantaneous discharge unit, period discharge unit and live charging unit respectively;

[0008] After receiving the instantaneous discharge data, the instantaneous discharge unit immediately performs a discharge performance stability analysis on the instantaneous discharge data, compares and analyzes the obtained instantaneous imbalance index, and obtains an instantaneous stability signal and an instantaneous risk signal;

[0009] After receiving the period discharge data, the period discharge unit immediately performs period discharge performance stability risk analysis on the period discharge data, compares and analyzes the obtained period out-of-control coefficient, and obtains a period stability signal and a period risk signal;

[0010] The interactive division unit is used to interactively analyze the instantaneous stability signal, the instantaneous risk signal, the period stability signal and the period risk signal to obtain a discharge stability energy level FD;

[0011] The live charging unit receives charging data of the target battery, performs a real-time charging performance stability classification operation on the charging data, compares and analyzes the obtained charging imbalance evaluation index, and obtains a charging stability index CW;

[0012] The charge-discharge performance unit is used to retrieve the discharge stability energy level FD and the charge stability index CW, and perform a progressive evaluation and analysis of the charge-discharge performance stability to obtain the charge-discharge performance index CF.

[0013] Preferably, the discharge performance stability analysis process of the instantaneous discharge unit at the instantaneous point is as follows:

[0014] The new energy vehicle battery performance test period is collected and set as the time threshold. The tested new energy vehicle battery is set as the target battery. The time is divided into i sub-time nodes, where i is a natural number greater than zero. The instantaneous discharge data of the target battery in each sub-time node is obtained. The instantaneous discharge data includes the discharge amount and the discharge current. The number of deviations of the instantaneous discharge data from the set discharge data range is obtained and set as the discharge offset value.

[0015] A rectangular coordinate system is established with the number of sub-time nodes as the X-axis and the discharge offset value as the Y-axis. Drawing points corresponding to the discharge offset value are drawn in the coordinate system, and the connection between each drawing point and the origin is obtained. Then, the angle formed by the connection between each drawing point and the origin and the positive direction of the X-axis is obtained, and the angle is set as the discharge stability angle. The discharge stability angle is then judged. If the discharge stability angle is greater than a preset discharge stability angle threshold, the number of times the discharge stability angle is greater than the preset discharge stability angle threshold is set as the instantaneous imbalance index. The instantaneous imbalance index is compared and analyzed with the preset instantaneous imbalance index threshold recorded and stored internally to obtain an instantaneous stability signal and an instantaneous risk signal.

[0016] Preferably, the periodic discharge performance stability risk analysis process of the periodic discharge unit is as follows:

[0017] Divide the time threshold into g sub-time periods, where g is a natural number greater than zero, obtain the period discharge data of the target battery in each sub-time period, the period discharge data including a discharge capacity characteristic curve and a discharge current characteristic curve, and then obtain the difference between the period discharge data and a preset period discharge characteristic curve, and set it as a period difference index. Then, perform discrimination processing on the period difference index. If the period difference index is greater than a preset period difference index threshold, generate a difference signal. Obtain the number of difference signals generated in each sub-time period and set it as the period evaluation index.

[0018] The time period evaluation index is compared and analyzed with the preset time period evaluation index threshold value recorded and stored internally. If the time period evaluation index is greater than the preset time period evaluation index threshold value, it is judged as "1". If the time period evaluation index is less than or equal to the preset time period evaluation index threshold value, it is judged as "0". The character strings of "1" and "0" are sorted in the order of sub-time periods and set as difference strings. The number of differences between the difference string and the preset standard string is obtained and set as the time period out-of-control coefficient. The time period out-of-control coefficient is compared and analyzed with the preset time period out-of-control coefficient threshold value recorded and stored internally to obtain the time period stability signal and the time period risk signal.

[0019] Preferably, the interactive analysis process of the interactive partitioning unit is as follows:

[0020] If an instantaneous stability signal and a period stability signal are generated, it is determined that the discharge is stable at the first level; if an instantaneous stability signal and a period risk signal, or an instantaneous risk signal and a period stability signal are generated, it is determined that the discharge is stable at the second level. If an instantaneous risk signal and a period risk signal are generated, it is determined that the discharge is stable at the third level, and the first level, second level and third level are set as the discharge stability energy level FD, FD = 1, 2, 3.

[0021] Preferably, the real-time charging performance stabilization division operation process of the live charging unit is as follows:

[0022] The charging data of the target battery within the time threshold is acquired in real time, the charging data including the effective charging span value, the temperature fluctuation index and the charging loss value. The effective charging span value, the temperature fluctuation index and the charging loss value are labeled as CK, WF and CS respectively. The charging performance stability coefficient C is obtained according to the formula, and the charging performance stability coefficient C is compared and analyzed with the preset charging performance stability coefficient threshold recorded and stored internally. If the charging performance stability coefficient is greater than the preset charging performance stability coefficient threshold, a charging imbalance signal is generated, and the total duration of the charging imbalance signal generation is acquired and set as the charging imbalance evaluation index. The charging imbalance evaluation index is compared and analyzed with the preset E1 and E2 recorded and stored internally, and E1 is less than E2. The first level charging stability, the second level charging stability and the third level charging stability are obtained, and the first level charging stability, the second level charging stability and the third level charging stability are set as the charging stability index CW, where CW=1, 2, and 3.

[0023] Preferably, the charging efficiency span value represents the portion where the actual charging efficiency is lower than the preset charging efficiency; the temperature fluctuation index represents the portion where the actual charging temperature value of the target battery exceeds the preset standard temperature value; and the charging loss value represents the actual loss of the internal resistance of the target battery.

[0024] Preferably, the charging and discharging performance stable progressive evaluation and analysis process of the charging and discharging performance unit is as follows:

[0025] The current discharge stability energy level FD and charge stability index CW of the target battery are obtained, and the discharge stability energy level FD and the charge stability index CW are substituted into the formula to obtain the charge and discharge performance evaluation coefficient W. The charge and discharge performance evaluation coefficient W is compared and analyzed with the preset charge and discharge performance evaluation coefficient range stored internally to obtain the first-level charge and discharge state, the second-level charge and discharge state, and the third-level charge and discharge state. The first-level charge and discharge state, the second-level charge and discharge state, and the third-level charge and discharge state are set as the charge and discharge performance index CF, CF = 1, 2, 3.

[0026] The beneficial effects of the present invention are as follows:

[0027] (1) The present invention analyzes the discharge performance stability and charging performance stability from two perspectives, and combines the discharge stability energy level and the charging stability index in a progressive manner to comprehensively understand the charge and discharge performance stability level of the target battery, so as to rationally manage the target battery;

[0028] (2) The present invention analyzes the discharge performance stability from two dimensions, instantaneous and time period, i.e., the instantaneous discharge data is analyzed for the discharge performance stability at the instantaneous point and the time period discharge data is analyzed for the time period discharge performance stability risk. At the same time, the information is processed in a layered and progressive manner so as to comprehensively classify the discharge performance stability level of the target battery. The discharge performance stability of the target battery is intuitively understood through information feedback so as to rationally manage the target battery. The charging data is subjected to a real-time charging performance stability classification operation so as to understand the charging performance stability level of the target battery from the perspective of charging, and at the same time, it helps to provide data support for the subsequent charge and discharge performance stability analysis of the target battery. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] The present invention will be further described below with reference to the accompanying drawings;

[0030] Figure 1 It is a flow chart of the system of the present invention;

[0031] Figure 2 This is a reference diagram for local analysis of Example 1 of the present invention. DETAILED DESCRIPTION

[0032] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0033] Example 1:

[0034] See also Figures 1 to 2 As shown, the present invention is a new energy vehicle battery performance detection system based on data acquisition and analysis, including a battery information unit, an instantaneous discharge unit, a period discharge unit, an interactive division unit, a live charging unit, a charge and discharge performance unit, and a display feedback unit. The battery information unit is unidirectionally connected to the instantaneous discharge unit, the period discharge unit, and the live charging unit. The instantaneous discharge unit and the period discharge unit are unidirectionally connected to the interactive division unit. The interactive division unit and the live charging unit are unidirectionally connected to the charge and discharge performance unit and the display feedback unit. The charge and discharge performance unit is unidirectionally connected to the display feedback unit.

[0035] The battery information unit is used to collect instantaneous discharge data, period discharge data, and charging data of the target battery, and send the instantaneous discharge data, period discharge data, and charging data to the instantaneous discharge unit, period discharge unit, and live charging unit, respectively. After receiving the instantaneous discharge data, the instantaneous discharge unit immediately performs an instantaneous discharge performance stability analysis on the instantaneous discharge data, that is, analyzes the discharge performance stability risk of the target battery from an instantaneous perspective, so as to provide data support for subsequent analysis. The specific instantaneous discharge performance stability analysis process is as follows:

[0036] A new energy vehicle battery performance test period is collected and set as a time threshold, the tested new energy vehicle battery is set as a target battery, the time is divided into i sub-time nodes, i is a natural number greater than zero, and instantaneous discharge data of the target battery in each sub-time node is obtained, the instantaneous discharge data including discharge capacity, discharge current, etc., and then the number of times the instantaneous discharge data deviates from the set discharge data range is obtained, and the number of times the instantaneous discharge data deviates from the set discharge data range is set as a discharge offset value;

[0037] A rectangular coordinate system is established with the number of sub-time nodes as the X-axis and the discharge offset value as the Y-axis. Drawing points corresponding to the discharge offset value are plotted in the coordinate system, and the line between each drawing point and the origin is obtained. Furthermore, the angle formed between the line between each drawing point and the origin and the positive direction of the X-axis is obtained. The angle formed between the line between each drawing point and the origin and the positive direction of the X-axis is set as the discharge stability angle. The discharge stability angle is then discriminated. If the discharge stability angle is greater than a preset discharge stability angle threshold, the number of times the discharge stability angle is greater than the preset discharge stability angle threshold is set as the instantaneous imbalance index. It should be noted that the larger the value of the instantaneous imbalance index, the greater the risk of abnormal instantaneous discharge performance of the target battery.

[0038] Compare and analyze the instantaneous imbalance index with the preset instantaneous imbalance index threshold stored internally:

[0039] If the instantaneous imbalance index is less than or equal to the preset instantaneous imbalance index threshold, an instantaneous stability signal is generated;

[0040] If the instantaneous imbalance index is greater than a preset instantaneous imbalance index threshold, an instantaneous risk signal is generated;

[0041] After receiving the period discharge data, the period discharge unit immediately performs period discharge performance stability risk analysis on the period discharge data, that is, analyzes the discharge performance stability risk of the target battery from the perspective of time period. The specific period discharge performance stability risk analysis process is as follows:

[0042] The time threshold is divided into g sub-time periods, where g is a natural number greater than zero. The period discharge data of the target battery in each sub-time period is obtained. The period discharge data includes a discharge capacity characteristic curve, a discharge current characteristic curve, etc. The difference value between the period discharge data and a preset period discharge characteristic curve is then obtained and set as a period difference index. The period difference index is then subjected to discrimination processing. If the period difference index is greater than a preset period difference index threshold, a difference signal is generated. The number of difference signals generated in each sub-time period is obtained and set as a period evaluation index. It should be noted that the generation of a difference signal indicates that there is a parameter in the period discharge data in the sub-time period whose period difference index is greater than the preset period difference index threshold.

[0043] The period evaluation index is compared and analyzed with the preset period evaluation index threshold value recorded and stored internally. If the period evaluation index is greater than the preset period evaluation index threshold value, it is judged as "1". If the period evaluation index is less than or equal to the preset period evaluation index threshold value, it is judged as "0". The character strings of "1" and "0" are sorted in the order of sub-time periods and set as the difference string. The number of differences between the difference string and the preset standard string is obtained and set as the period runaway coefficient. It should be noted that the period runaway coefficient is an influencing parameter that reflects the periodic discharge stability of the target battery. The larger the value of the period runaway coefficient, the greater the discharge risk of the target battery.

[0044] Compare and analyze the time period out-of-control coefficient with the preset time period out-of-control coefficient threshold stored internally:

[0045] If the period out-of-control coefficient is less than or equal to the preset period out-of-control coefficient threshold, a period stability signal is generated;

[0046] If the period out-of-control coefficient is greater than the preset period out-of-control coefficient threshold, a period risk signal is generated;

[0047] The interactive classification unit is used to interactively analyze the instantaneous stability signal, instantaneous risk signal, period stability signal, and period risk signal. That is, the information is processed in a layer-by-layer progressive manner to comprehensively classify the discharge performance stability level of the target battery. The discharge performance stability of the target battery is intuitively understood through information feedback, so as to rationally manage the target battery. The specific interactive analysis process is as follows:

[0048] If an instantaneous stable signal and a period stable signal are generated, it is determined that the discharge is stable at the first level;

[0049] If an instantaneous stability signal and a period risk signal, or an instantaneous risk signal and a period stability signal are generated, it is determined to be a secondary discharge stability;

[0050] If the instantaneous risk signal and the period risk signal are generated, it is determined that the discharge is in the third stable state, wherein the discharge stable performance corresponding to the first, second and third stable states is sequentially reduced, and the first, second and third stable states are set as the discharge stable performance level FD, FD = 1, 2, 3, that is, the discharge stable performance level FD = 1 indicates the first stable state, the discharge stable performance level FD = 2 indicates the second stable state, and the discharge stable performance level FD = 3 indicates the third stable state. The discharge stable performance level FD is sent to the display feedback unit, and the display feedback unit displays the preset warning words corresponding to the discharge stable performance level FD after receiving the discharge stable performance level FD, so that the discharge performance stability of the target battery can be intuitively understood, and the target battery can be reasonably managed.

[0051] Embodiment two:

[0052] The live charging unit receives the charging data of the target battery and performs real-time charging performance stability division operation on the charging data, so that the charging performance stability level of the target battery can be understood from the perspective of charging. The specific real-time charging performance stability division operation process is as follows:

[0053] The charging data of the target battery within the time threshold is obtained in real time, and the charging data includes the charging efficiency span value, the temperature floating index and the charging loss value. The charging efficiency span value, the temperature floating index and the charging loss value are labeled as CK, WF and CS respectively. The charging performance stability coefficient is obtained according to the formula C = (CK × a1 + WF × a2 + CS × a3) × a4, wherein a1, a2 and a3 are preset proportional factor coefficients of the charging efficiency span value CK, the temperature floating index WF and the charging loss value CS, respectively. The proportional factor coefficients are used to correct the deviation of each parameter in the formula calculation process, so that the calculation result is more accurate. a4 is a preset error correction factor coefficient, a1, a2, a3 and a4 are all greater than zero, and C is the charging performance stability coefficient. The charging performance stability coefficient C is compared and analyzed with the preset charging performance stability coefficient threshold recorded and stored therein. If the charging performance stability coefficient is greater than the preset charging performance stability coefficient threshold, a charging imbalance signal is generated. The total duration of the generated charging imbalance signal is obtained and set as the charging imbalance evaluation index. The charging imbalance evaluation index is compared and analyzed with the preset E1 and E2 recorded and stored therein, and E1 < E2.

[0054] If the charging imbalance evaluation index < E1, it is determined that the charging is in the first stable state.

[0055] If E1 ≤ the charging imbalance evaluation index ≤ E2, it is determined that the charging is in the second stable state.

[0056] If the charging imbalance evaluation index is greater than E2, it is determined that the charging is in the third stable state, wherein the greater the charging stable performance abnormal risk corresponding to the first, second and third charging stable states is, the first, second and third charging stable states are set as the charging stable index CW, CW=1, 2, 3, that is, the charging stable index CW=1 indicates the first charging stable state, the charging stable index CW=2 indicates the second charging stable state, and the charging stable index CW=3 indicates the third charging stable state, the charging stable index CW is sent to the display feedback unit, and after receiving the charging stable index CW, the display feedback unit immediately displays the preset warning words corresponding to the charging stable index CW, so that the charging stable performance of the target battery can be intuitively understood, and the target battery can be reasonably managed;

[0057] In the embodiment of the application, the charging efficiency span value represents the part of the actual charging efficiency that is lower than the preset charging efficiency, and it should be noted that the charging efficiency span value is an influence parameter reflecting the charging stable performance;

[0058] In the embodiment of the application, the temperature floating index represents the part of the actual charging temperature value of the target battery that exceeds the preset standard temperature value, and it should be noted that the greater the value of the temperature floating index is, the greater the characteristic feedback of the abnormal risk of the charging stable performance of the target battery is;

[0059] In the embodiment of the application, the charging loss value represents the actual loss amount of the internal resistance of the target battery, and it should be noted that the greater the value of the charging loss value is, the greater the abnormal risk of the charging stable performance of the target battery is;

[0060] The charge-discharge performance unit is used to call the discharge stable performance level FD and the charging stable index CW, and perform charge-discharge performance stable progressive evaluation analysis to understand the charge-discharge performance stable state of the target battery, and the specific charge-discharge performance stable progressive evaluation analysis process is as follows:

[0061] The current discharge stable performance level FD and the charging stable index CW of the target battery are obtained, and the discharge stable performance level FD and the charging stable index CW are substituted into the formula to obtain the charge-discharge performance evaluation coefficient W, wherein f1 and f2 are preset weight factor coefficients of the discharge stable performance level FD and the charging stable index CW respectively, f3 is a preset fault tolerance factor coefficient, f1, f2 and f3 are greater than zero, and W is the charge-discharge performance evaluation coefficient, and the charge-discharge performance evaluation coefficient W is compared and analyzed with the preset charge-discharge performance evaluation coefficient range recorded and stored therein:

[0062] If the charge-discharge performance evaluation coefficient W is greater than the maximum value in the preset charge-discharge performance evaluation coefficient range, it is determined that the charge is in the first state;

[0063] If the charge-discharge performance evaluation coefficient W belongs to the preset charge-discharge performance evaluation coefficient range, it is determined as a charge-discharge secondary state;

[0064] If the charge-discharge performance evaluation coefficient W is less than the minimum value in the preset charge-discharge performance evaluation coefficient range, it is determined as a charge-discharge tertiary state, wherein the charge-discharge primary state, the charge-discharge secondary state and the charge-discharge tertiary state correspond to the charge-discharge performance stability risks in turn, the charge-discharge primary state, the charge-discharge secondary state and the charge-discharge tertiary state are set as the charge-discharge performance indexes CF, CF = 1, 2, 3, that is, the charge-discharge performance index CF = 1 indicates the charge-discharge primary state, the charge-discharge performance index CF = 2 indicates the charge-discharge secondary state, and the charge-discharge performance index CF = 3 indicates the charge-discharge tertiary state, the charge-discharge performance index CF is sent to the display feedback unit, after receiving the charge-discharge performance index CF, the display feedback unit immediately displays the preset warning words corresponding to the charge-discharge performance index CF, so as to intuitively understand the charge-discharge performance stability of the target battery, and to reasonably manage the target battery;

[0065] In summary, the application analyzes from two aspects of discharge performance stability and charge performance stability, and analyzes the discharge stability performance level FD and the charge stability index CW in a progressive manner, so as to comprehensively understand the charge-discharge performance stability level of the target battery, and to reasonably manage the target battery, and analyzes from two dimensions of instantaneous and time period in the discharge performance stability, that is, analyzes the instantaneous discharge performance stability of the instantaneous discharge data and analyzes the time period discharge performance stability risk of the time period discharge data, and processes the information in a progressive manner, so as to comprehensively divide the discharge performance stability level of the target battery, and intuitively understands the discharge performance stability of the target battery through information feedback, so as to reasonably manage the target battery, and performs real-time charge performance stability division operation on the charge data, so as to understand the charge performance stability level of the target battery from the charge perspective, and to provide data support for subsequent charge-discharge performance stability analysis of the target battery.

[0066] The size of the threshold is set for comparison, and the size of the threshold depends on the number of sample data and the base number set by the person skilled in the art for each group of sample data.

[0067] The above formulas are obtained by collecting a large amount of data and performing software simulation, and a formula close to the actual value is selected. The coefficients in the formula are set by those skilled in the art according to actual conditions. The above is only a preferred specific implementation method of the present invention, but the protection scope of the present invention is not limited to this. Any technician familiar with this technical field, within the technical scope disclosed by the present invention, can make equivalent replacements or changes based on the technical solution and inventive concept of the present invention, which should be covered by the protection scope of the present invention.

Claims

1. The new energy vehicle battery performance detection system based on data acquisition and analysis is characterized by: It includes a battery information unit, an instantaneous discharge unit, a period discharge unit, an interactive division unit, a live charging unit, a charge and discharge performance unit, and a display feedback unit; The battery information unit is used to collect instantaneous discharge data, period discharge data and charging data of the target battery, and send the instantaneous discharge data, period discharge data and charging data to the instantaneous discharge unit, period discharge unit and live charging unit respectively; After receiving the instantaneous discharge data, the instantaneous discharge unit immediately performs a discharge performance stability analysis on the instantaneous discharge data, compares and analyzes the obtained instantaneous imbalance index, and obtains an instantaneous stability signal and an instantaneous risk signal; After receiving the period discharge data, the period discharge unit immediately performs period discharge performance stability risk analysis on the period discharge data, compares and analyzes the obtained period out-of-control coefficient, and obtains a period stability signal and a period risk signal; The interactive division unit is used to interactively analyze the instantaneous stability signal, the instantaneous risk signal, the period stability signal and the period risk signal to obtain a discharge stability energy level FD; The live charging unit receives charging data of the target battery, performs a real-time charging performance stability classification operation on the charging data, compares and analyzes the obtained charging imbalance evaluation index, and obtains a charging stability index CW; The charge-discharge performance unit is used to retrieve the discharge stability energy level FD and the charge stability index CW, and perform a progressive evaluation and analysis of the charge-discharge performance stability to obtain the charge-discharge performance index CF.

2. The new energy vehicle battery performance detection system based on data acquisition and analysis according to claim 1 is characterized in that: The discharge performance stability analysis process of the instantaneous discharge unit at the instantaneous point is as follows: The new energy vehicle battery performance test period is collected and set as the time threshold. The tested new energy vehicle battery is set as the target battery. The time is divided into i sub-time nodes, where i is a natural number greater than zero. The instantaneous discharge data of the target battery in each sub-time node is obtained. The instantaneous discharge data includes the discharge amount and the discharge current. The number of deviations of the instantaneous discharge data from the set discharge data range is obtained and set as the discharge offset value. A rectangular coordinate system is established with the number of sub-time nodes as the X-axis and the discharge offset value as the Y-axis. Drawing points corresponding to the discharge offset value are drawn in the coordinate system, and the connection between each drawing point and the origin is obtained. Then, the angle formed by the connection between each drawing point and the origin and the positive direction of the X-axis is obtained, and the angle is set as the discharge stability angle. The discharge stability angle is then judged. If the discharge stability angle is greater than a preset discharge stability angle threshold, the number of times the discharge stability angle is greater than the preset discharge stability angle threshold is set as the instantaneous imbalance index. The instantaneous imbalance index is compared and analyzed with the preset instantaneous imbalance index threshold recorded and stored internally to obtain an instantaneous stability signal and an instantaneous risk signal.

3. The new energy vehicle battery performance detection system based on data acquisition and analysis according to claim 1 is characterized in that: The periodic discharge performance stability risk analysis process of the periodic discharge unit is as follows: Divide the time threshold into g sub-time periods, where g is a natural number greater than zero, obtain the period discharge data of the target battery in each sub-time period, the period discharge data including a discharge capacity characteristic curve and a discharge current characteristic curve, and then obtain the difference between the period discharge data and a preset period discharge characteristic curve, and set it as a period difference index. Then, perform discrimination processing on the period difference index. If the period difference index is greater than a preset period difference index threshold, generate a difference signal. Obtain the number of difference signals generated in each sub-time period and set it as the period evaluation index. The period evaluation index is compared and analyzed with the preset period evaluation index threshold value recorded and stored internally. If the period evaluation index is greater than the preset period evaluation index threshold value, it is judged as "1". If the period evaluation index is less than or equal to the preset period evaluation index threshold value, it is judged as "0". The character strings of "1" and "0" are sorted in the order of sub-time periods and set as the difference string. The number of differences between the difference string and the preset standard string is obtained and set as the period out-of-control coefficient. The period out-of-control coefficient is compared and analyzed with the preset period out-of-control coefficient threshold value recorded and stored internally to obtain the period stability signal and the period risk signal.

4. The new energy vehicle battery performance detection system based on data acquisition and analysis according to claim 1 is characterized in that: The interactive analysis process of the interactive partitioning unit is as follows: If an instantaneous stable signal and a period stable signal are generated, it is determined to be a first-level discharge stable state; if an instantaneous stable signal and a period risk signal, or an instantaneous risk signal and a period stable signal are generated, it is determined to be a second-level discharge stable state; if an instantaneous risk signal and a period risk signal are generated, it is determined to be a third-level discharge stable state, and the first-level discharge stability, the second-level discharge stability and the third-level discharge stability are set as the discharge stability energy level FD, FD=1, 2, 3.

5. The new energy vehicle battery performance detection system based on data acquisition and analysis according to claim 1 is characterized in that: The real-time charging performance stabilization division operation process of the live charging unit is as follows: The charging data of the target battery within the time threshold is acquired in real time. The charging data includes a charge-effective span value, a temperature fluctuation index, and a charge loss value. The charge-effective span value, the temperature fluctuation index, and the charge loss value are labeled CK, WF, and CS, respectively. The charging performance stability coefficient C is obtained according to the formula. The charging performance stability coefficient C is compared and analyzed with a preset charging performance stability coefficient threshold that is internally recorded and stored. If the charging performance stability coefficient is greater than the preset charging performance stability coefficient threshold, a charging imbalance signal is generated. The total duration of the charging imbalance signal generation is acquired and set as a charging imbalance evaluation index. The charging imbalance evaluation index is compared and analyzed with preset values ​​E1 and E2 that are internally recorded and stored. If E1 is less than E2, the judgment results of the first-level charging stability, the second-level charging stability, and the third-level charging stability are obtained. The first-level charging stability, the second-level charging stability, and the third-level charging stability are set as the charging stability index CW, where CW=1, 2, or 3.

6. The new energy vehicle battery performance detection system based on data acquisition and analysis according to claim 5 is characterized in that: The charging efficiency span value represents the portion where the actual charging efficiency is lower than the preset charging efficiency; the temperature fluctuation index represents the portion where the actual charging temperature value of the target battery exceeds the preset standard temperature value; and the charging loss value represents the actual loss of the internal resistance of the target battery.

7. The new energy vehicle battery performance detection system based on data acquisition and analysis according to claim 1 is characterized in that: The charging and discharging performance stable progressive evaluation and analysis process of the charging and discharging performance unit is as follows: The current discharge stability energy level FD and charge stability index CW of the target battery are obtained, and the discharge stability energy level FD and the charge stability index CW are substituted into the formula to obtain the charge and discharge performance evaluation coefficient W. The charge and discharge performance evaluation coefficient W is compared and analyzed with the preset charge and discharge performance evaluation coefficient range stored internally to obtain the judgment results of the first-level charge and discharge state, the second-level charge and discharge state, and the third-level charge and discharge state. The first-level charge and discharge state, the second-level charge and discharge state, and the third-level charge and discharge state are set as the charge and discharge performance index CF, CF=1, 2, 3.

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