New energy automobile battery performance detection system based on data acquisition and analysis
Through the new energy vehicle battery performance detection system based on data acquisition and analysis, the battery performance is analyzed from the perspectives of discharge and charging, and the problem of the existing technology being unable to detect the stable level of battery performance is solved, and a comprehensive evaluation and reasonable management of battery performance is achieved. .
Patent Information
- Application Number
- CN202411598421.9
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-11-11
- Publication Date
- 2025-02-14
- Estimated Expiration
- 2044-11-11
AI Technical Summary
The prior art cannot effectively detect the comprehensive performance stability level of charging, discharging and charging and discharging of new energy vehicle batteries, resulting in a decrease in the accuracy of improper management and stable risk analysis.
The battery performance detection system of new energy vehicles based on data acquisition and analysis is used to analyze from the perspectives of stable discharge performance and stable charge performance. The charging and discharge performance stability level is carried out through a progressive combination of the discharge stability performance level and the charging stability index. comprehensive assessment.
A comprehensive understanding of the stable charging and discharging performance levels of new energy vehicles has been achieved, rational management is supported, and the accuracy of risk analysis of the stability of the comprehensive charging and discharging performance has been improved.
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Figure CN119438936A_ABST
Abstract
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 the equipment. In order to ensure the safety, reliability and long life of the battery in use, strict testing is essential. The testing items of 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, in the prior art, it is impossible to detect and feedback the charging, discharging and charging and discharging comprehensive performance stability level of new energy vehicle batteries, thereby reducing the rational management of new energy vehicle batteries, and it is impossible to comprehensively analyze the discharge performance stability level of new energy vehicle batteries from both instantaneous and time period perspectives, thereby reducing the accuracy of subsequent new energy vehicle battery charging and discharging comprehensive performance stability risk analysis results;
[0004] In view of the above technical defects, a solution is now proposed. Summary of the invention
[0005] The purpose 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 the charging stability index of the discharge in a progressive manner, so as to comprehensively understand the charging and discharging performance stability level of the target battery, so as to rationally manage the target battery, and analyzes from the two dimensions of instantaneous and time period in the discharge performance stability, that is, the instantaneous discharge data is analyzed for the instantaneous point discharge performance stability 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 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 by information feedback, so as to rationally manage the target battery, and the charging data is divided into real-time charging performance stability operations, so as to understand the charging performance stability level of the target battery from the perspective of charging, and at the same time, it is helpful to provide data support for the subsequent charging and discharging 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 collection and analysis includes 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, the period discharge unit and the real-time 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 a 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 the discharge stability energy level FD;
[0011] The live charging unit receives the 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 charge-discharge performance stability progressive evaluation analysis to obtain a charge-discharge performance index CF.
[0013] Preferably, the instantaneous point discharge performance stability analysis process of the instantaneous discharge unit is as follows:
[0014] The new energy vehicle battery performance detection period is collected and set as the time threshold, the detected new energy vehicle battery is set as the target battery, the time is divided into i sub-time nodes, i is a natural number greater than zero, and 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, and then the number of instantaneous discharge data deviating from the set discharge data range is obtained, and it is 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, and the drawing points corresponding to the discharge offset value are drawn in the coordinate system, and the connecting line between each drawing point and the origin is obtained, and then the angle formed by the connecting line between each drawing point and the origin and the positive direction of the X-axis is obtained, and it is set as the discharge stability angle, and the discharge stability angle is discriminated. If the discharge stability angle is greater than the preset discharge stability angle threshold, the number corresponding to the discharge stability angle greater than the preset discharge stability angle threshold is set as the instantaneous imbalance index, and 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] The time threshold is divided into g sub-time periods, where g is a natural number greater than zero, and the time period discharge data of the target battery in each sub-time period is obtained, the time period discharge data includes a discharge capacity characteristic curve and a discharge current characteristic curve, and then the difference value between the time period discharge data and the preset time period discharge characteristic curve is obtained, and it is set as the time period difference index, and the time period difference index is discriminated and processed. If the time period difference index is greater than the preset time period difference index threshold, a difference signal is generated, and the number of difference signals generated in each sub-time period is obtained, and it is set as the time 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 stable signal and a period stable signal are generated, it is judged as the first-level discharge stability; if an instantaneous stable signal and a period risk signal, or an instantaneous risk signal and a period stable signal are generated, it is judged as the second-level discharge stability. If an instantaneous risk signal and a period risk signal are generated, it is judged as the third-level discharge stability. 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.
[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, and the charging data includes 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 value recorded and stored internally. If the charging performance stability coefficient is greater than the preset charging performance stability coefficient threshold value, a charging imbalance signal is generated, and the total duration of the charging imbalance signal generation is acquired, and it is set as the charging imbalance evaluation index, and the charging imbalance evaluation index is compared and analyzed with the preset E1 and E2 recorded and stored internally, E1<E2, and the charging primary stability, the charging secondary stability and the charging tertiary stability are obtained, and the charging primary stability, the charging secondary stability and the charging tertiary stability are set as the charging stability index CW, CW=1, 2, 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, and the charge and discharge performance evaluation coefficient W is compared and analyzed with the preset charge and discharge performance evaluation coefficient range recorded and 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, and 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 charge performance stability from two perspectives, and combines the discharge stability energy level and the charge stability index in a progressive manner, so as 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, namely, the instantaneous and time period dimensions, 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 progressive manner to comprehensively classify the discharge performance stability level of the target battery. The discharge performance stability of the target battery can be intuitively understood through information feedback to rationally manage the target battery. The charging data is divided into real-time charging performance stability operations to understand the charging performance stability level of the target battery from the perspective of charging. At the same time, it helps to provide data support for the subsequent charging and discharging performance stability analysis of the target battery. BRIEF DESCRIPTION OF THE DRAWINGS
[0029] The present invention will be further described below in conjunction with the accompanying drawings;
[0030] Figure 1 It is a flowchart of the system of the present invention;
[0031] Figure 2 It is a local analysis reference diagram of the first embodiment of the present invention. DETAILED DESCRIPTION
[0032] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. 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 creative work are within the scope of protection of the present invention.
[0033] Embodiment 1:
[0034] See also Figure 1 to Figure 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 time 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 connected to the instantaneous discharge unit, the time period discharge unit and the live charging unit in a one-way communication manner, the instantaneous discharge unit and the time period discharge unit are connected to the interactive division unit in a one-way communication manner, the interactive division unit and the live charging unit are connected to the charge and discharge performance unit and the display feedback unit in a one-way communication manner, and the charge and discharge performance unit is connected to the display feedback unit in a one-way communication manner;
[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, the period discharge unit and the real-time 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, 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] The new energy vehicle battery performance detection period is collected and set as the time threshold, the detected new energy vehicle battery is set as the target battery, the time is divided into i sub-time nodes, i is a natural number greater than zero, and the instantaneous discharge data of the target battery in each sub-time node is obtained. The instantaneous discharge data includes the discharge amount, the discharge current, etc., and then the number of instantaneous discharge data deviations from the set discharge data range is obtained, and the number of instantaneous discharge data deviations from the set discharge data range is set as the 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, and a drawing point corresponding to the discharge offset value is drawn in the coordinate system, and a line between each drawing point and the origin is obtained, and then an angle formed by the line between each drawing point and the origin and the positive direction of the X-axis is obtained, and the angle formed by the line between each drawing point and the origin and the positive direction of the X-axis is set as the discharge stability angle, and the discharge stability angle is judged. If the discharge stability angle is greater than a preset discharge stability angle threshold, the number of discharge stability angles 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 value stored in the internal data entry:
[0039] If the instantaneous imbalance index is less than or equal to a 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 the 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, and the time period discharge data of the target battery in each sub-time period is obtained, and the time period discharge data includes a discharge capacity characteristic curve, a discharge current characteristic curve, etc., and then the difference value between the time period discharge data and the preset time period discharge characteristic curve is obtained, and it is set as the time period difference index, and the time period difference index is discriminated and processed. If the time period difference index is greater than the preset time period difference index threshold, a difference signal is generated, and the number of difference signals generated in each sub-time period is obtained, and it is set as the time period evaluation index. It should be noted that the generation of a difference signal indicates that there is a time period difference index of a parameter in the time period discharge data in the sub-time period that is greater than the preset time 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 it is set as the period out-of-control coefficient. It should be noted that the period out-of-control coefficient is an influencing parameter reflecting the periodic discharge stability of the target battery. The larger the value of the period out-of-control 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 value stored in the internal storage:
[0045] If the time period out-of-control coefficient is less than or equal to the preset time period out-of-control coefficient threshold, a time period stability signal is generated;
[0046] If the time period out-of-control coefficient is greater than the preset time period out-of-control coefficient threshold, a time period risk signal is generated;
[0047] 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, that is, to process the information in a progressive manner so as to comprehensively divide the discharge performance stability level of the target battery, and to intuitively understand the discharge performance stability of the target battery 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 discharge secondary stability;
[0050] If an instantaneous risk signal and a period risk signal are generated, it is determined to be a three-level discharge stability, wherein the discharge stability performance corresponding to the first-level discharge stability, the second-level discharge stability and the third-level discharge stability decreases in sequence, 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, that is, the discharge stability energy level FD=1, which indicates the first-level discharge stability, the discharge stability energy level FD=2, which indicates the second-level discharge stability, and the discharge stability energy level FD=3, which indicates the third-level discharge stability. The discharge stability energy level FD is sent to the display feedback unit, and after receiving the discharge stability energy level FD, the display feedback unit immediately displays the preset warning text corresponding to the discharge stability energy level FD, so as to intuitively understand the discharge performance stability of the target battery, so as to rationally manage the target battery.
[0051] Embodiment 2:
[0052] The live charging unit receives the charging data of the target battery and performs a real-time charging performance stability classification operation on the charging data, so as to understand the charging performance stability level of the target battery from the perspective of charging. The specific real-time charging performance stability classification operation process is as follows:
[0053] The charging data of the target battery within the time threshold is obtained in real time. The charging data includes 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 is obtained according to the formula C=(CK×a1+WF×a2+CS×a3)×a4, wherein a1, a2 and a3 are the preset proportional factor coefficients of the effective charging span value CK, the temperature fluctuation index WF and the charging loss value CS respectively. The proportional factor coefficient is used to correct the deviation of various parameters in the formula calculation process. Thereby, the calculation result is more accurate, a4 is the preset error correction factor coefficient, a1, a2, a3 and a4 are all greater than zero, 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 value recorded and stored internally, if the charging performance stability coefficient is greater than the preset charging performance stability coefficient threshold value, a charging imbalance signal is generated, the total duration of the generation of the charging imbalance signal is obtained, and it is 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, E1<E2:
[0054] If the charging imbalance assessment index is less than E1, it is judged as charging level 1 stability;
[0055] If E1≤Charging imbalance assessment index≤E2, it is judged as charging level 2 stability;
[0056] If the charging imbalance assessment index is greater than E2, it is determined to be charging level 3 stability, wherein the greater the abnormal risk of charging stability performance corresponding to charging level 1 stability, charging level 2 stability and charging level 3 stability, the charging stability index CW is set as charging stability index CW=1, 2, 3, that is, charging stability index CW=1, which indicates charging level 1 stability, charging stability index CW=2, which indicates charging level 2 stability, charging stability index CW=3, which indicates charging level 3 stability, and the charging stability index CW is sent to the display feedback unit. After receiving the charging stability index CW, the display feedback unit immediately displays the preset warning text corresponding to the charging stability index CW, so as to intuitively understand the charging stability performance of the target battery, so as to rationally manage the target battery;
[0057] In the embodiment of the present invention, the effective charging span value indicates the portion where the actual charging efficiency is lower than the preset charging efficiency. It should be noted that the effective charging span value is an influencing parameter reflecting the charging stability performance;
[0058] In the embodiment of the present invention, the temperature fluctuation index indicates the portion of the actual charging temperature value of the target battery that exceeds the preset standard temperature value. It should be noted that the larger the value of the temperature fluctuation index table is, the greater the risk of abnormal charging stability performance of the target battery indicated by the characteristic feedback is;
[0059] In the embodiment of the present invention, the charging loss value represents the actual loss of the internal resistance of the target battery. It should be noted that the larger the value of the charging loss value is, the greater the risk of abnormal charging stability performance of the target battery is.
[0060] The charge and discharge performance unit is used to retrieve the discharge stability energy level FD and the charge stability index CW, and to perform a charge and discharge performance stability progressive evaluation and analysis to understand the charge and discharge performance stability of the target battery. The specific charge and discharge performance stability progressive evaluation and analysis process is as follows:
[0061] Get the current discharge stability energy level FD and charge stability index CW of the target battery, and substitute the discharge stability energy level FD and charge stability index CW into the formula The charge and discharge performance evaluation coefficient is obtained, where f1 and f2 are respectively the preset weight factor coefficients of the discharge stability energy level FD and the charge stability index CW, f3 is the preset fault tolerance factor coefficient, f1, f2 and f3 are all greater than zero, W is the charge and discharge performance evaluation coefficient, and the charge and discharge performance evaluation coefficient W is compared and analyzed with the preset charge and discharge performance evaluation coefficient range stored internally:
[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 to be the first-level charge-discharge state;
[0063] If the charge-discharge performance evaluation coefficient W falls within the preset charge-discharge performance evaluation coefficient range, it is determined to be a secondary charge-discharge state;
[0064] If the charge and discharge performance evaluation coefficient W is less than the minimum value in the preset charge and discharge performance evaluation coefficient range, it is determined to be a three-level charge and discharge state, wherein the charge and discharge performance stability risks corresponding to the first-level charge and discharge state, the second-level charge and discharge state, and the third-level charge and discharge state increase in sequence, and 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, that is, the charge and discharge performance index CF=1 indicates the first-level charge and discharge state, the charge and discharge performance index CF=2 indicates the second-level charge and discharge state, and the charge and discharge performance index CF=3 indicates the third-level charge and discharge state, and the charge and discharge performance index CF is sent to the display feedback unit. After receiving the charge and discharge performance index CF, the display feedback unit immediately displays the preset warning text corresponding to the charge and discharge performance index CF, so as to intuitively understand the charge and discharge performance stability of the target battery, so as to rationally manage the target battery;
[0065] In summary, the present invention analyzes from two perspectives of discharge performance stability and charging performance stability, and combines the discharge stability energy level FD and the charging stability index CW in a progressive manner, so as to comprehensively understand the charging and discharging performance stability level of the target battery, so as to rationally manage the target battery, and analyzes from two dimensions of instantaneous and time period in the discharge performance stability, that is, the instantaneous discharge data is analyzed for the discharge performance stability of 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 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 by information feedback, so as to rationally manage the target battery, and the charging data is divided into real-time charging performance stability operations, so as to understand the charging performance stability level of the target battery from the perspective of charging, and at the same time, it is helpful to provide data support for the subsequent charging and discharging performance stability analysis of the target battery.
[0066] The threshold is set to facilitate comparison. The size of the threshold depends on the amount of sample data and the number of bases set by technicians in this field for each group of sample data; as long as it does not affect the proportional relationship between the parameter and the quantized value.
[0067] The above formulas are obtained by collecting a large amount of data for software simulation and selecting a formula that is close to the actual value. The coefficients in the formula are set by technical personnel in this field according to actual conditions. The above is only a preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited to this. Any technical personnel familiar with the technical field within the technical scope disclosed by the present invention, according to the technical solution and the inventive concept of the present invention, make equivalent replacement or change, which should be covered within the protection scope of the present invention.
Claims
1. A new energy vehicle battery performance detection system based on data collection and analysis, characterized in that: It includes 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; 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, the period discharge unit and the real-time 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 a 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 the discharge stability energy level FD; The live charging unit receives the 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 charge-discharge performance stability progressive evaluation analysis to obtain a 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 detection period is collected and set as the time threshold, the detected new energy vehicle battery is set as the target battery, the time is divided into i sub-time nodes, i is a natural number greater than zero, and 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, and then the number of instantaneous discharge data deviating from the set discharge data range is obtained, and it is 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, and the drawing points corresponding to the discharge offset value are drawn in the coordinate system, and the connecting line between each drawing point and the origin is obtained, and then the angle formed by the connecting line between each drawing point and the origin and the positive direction of the X-axis is obtained, and it is set as the discharge stability angle, and the discharge stability angle is discriminated. If the discharge stability angle is greater than the preset discharge stability angle threshold, the number corresponding to the discharge stability angle greater than the preset discharge stability angle threshold is set as the instantaneous imbalance index, and 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: The time threshold is divided into g sub-time periods, where g is a natural number greater than zero, and the time period discharge data of the target battery in each sub-time period is obtained, the time period discharge data includes a discharge capacity characteristic curve and a discharge current characteristic curve, and then the difference value between the time period discharge data and the preset time period discharge characteristic curve is obtained, and it is set as the time period difference index, and the time period difference index is discriminated and processed. If the time period difference index is greater than the preset time period difference index threshold, a difference signal is generated, and the number of difference signals generated in each sub-time period is obtained, and it is set as the time period evaluation index; 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.
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 judged as the first-level discharge stability; if an instantaneous stable signal and a period risk signal, or an instantaneous risk signal and a period stable signal are generated, it is judged as the second-level discharge stability. If an instantaneous risk signal and a period risk signal are generated, it is judged as the third-level discharge stability. 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 obtained in real time, and the charging data includes 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 value recorded and stored internally. If the charging performance stability coefficient is greater than the preset charging performance stability coefficient threshold value, a charging imbalance signal is generated, and the total duration of the charging imbalance signal generation is obtained, and it is set as the charging imbalance evaluation index, and the charging imbalance evaluation index is compared and analyzed with the preset E1 and E2 recorded and stored internally, E1<E2, and the charging primary stability, charging secondary stability and charging tertiary stability are obtained, and the charging primary stability, charging secondary stability and charging tertiary stability are set as the charging stability index CW, CW=1, 2, 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, and 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, and 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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