Intelligent battery repair system and method

Abstract

The application relates to the field of storage battery repair, and discloses a storage battery intelligent repair system and method, which comprises the following steps: acquiring actual voltage values of each battery unit in a target storage battery in real time; comparing the actual voltage values of each battery unit with preset reference voltages; marking the battery units exceeding the reference voltages according to comparison results, arranging the battery units according to the difference between the actual voltage values and the reference voltage values from large to small, connecting an equalizer to the high battery unit in the first place and the low battery unit with the minimum actual voltage value to perform voltage equalization; acquiring voltage parameters, temperature parameters, resistance parameters and equalization current parameters of the two battery units in the voltage equalization process in real time, obtaining a repair index by processing the total time consumption after completing the equalization voltage once; analyzing the repair index to obtain an abnormal coefficient; judging whether the equalization current parameter is abnormal according to the abnormal coefficient; and adjusting the equalization current parameter if the equalization current parameter is abnormal.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of battery repair, in particular to a battery intelligent repair system and method. BACKGROUND

[0002] The battery capacity and performance will be reduced due to improper use, in order to prolong the service life of the battery, the battery needs to be repaired, and the object of the battery repair is the lead-acid battery. Regular activation repair of lead-acid battery can help prolong its life, improve its performance, and reduce the need to replace the battery.

[0003] The existing battery repair methods are various, one of the commonly used methods is voltage equalization method, the voltage equalizer is connected with the battery, and each battery unit is charged and discharged to balance the voltage, but in the actual operation process, since the repair personnel does not consider that the connection between the battery units exists resistance or looseness, which will hinder the flow of current and cause voltage imbalance, and the artificial inspection of the connection problem has the problems of low efficiency and easy omission. SUMMARY

[0004] The purpose of the present application is to provide a battery intelligent repair system and method to solve the above technical problems.

[0005] The purpose of the present application can be achieved by the following technical solutions:

[0006] A battery intelligent repair method, comprising:

[0007] S1: Real-time acquisition of actual voltage value of each battery unit in target battery;

[0008] S2: Comparing the actual voltage value of each battery unit with the preset reference voltage;

[0009] S3: According to the comparison result, the battery unit exceeding the preset reference voltage is obtained and marked, and the marked battery unit is arranged according to the difference between the actual voltage value and the reference voltage value from large to small, wherein the high battery unit in the first place and the low battery unit with the minimum actual voltage value are connected with the equalizer for voltage equalization;

[0010] S4: Real-time acquisition of voltage parameters, temperature parameters, resistance parameters, equalization current parameters and total time consumption after completing the equalization voltage of two battery units in the voltage equalization process;

[0011] S5: Processing the voltage parameters, temperature parameters and total time consumption after completing the equalization voltage to obtain a repair index, analyzing the repair index to obtain an abnormal coefficient, judging whether the equalization current parameter is abnormal according to the abnormal coefficient, and adjusting the equalization current parameter if it is abnormal;

[0012] S6: Obtain the resistance parameter change curve over time and compare it with the resistance parameter change curve predicted based on historical data. Calculate the deviation value and determine whether there is a connection problem in the battery cell based on the deviation value. If there is, stop adjusting the equalization current parameter; otherwise, perform the equalization current adjustment normally.

[0013] As a further technical solution, the method for obtaining the anomaly coefficient is as follows:

[0014] Through the formula: The anomaly coefficient φ is calculated; where δ i K is the preset proportionality coefficient. i Let n be the repair index for the i-th time to complete the equalization voltage, and n be the current number of battery repairs.

[0015] in,

[0016] In the formula, χ is a dimensionless coefficient, t0 and t1 are the start and end times, respectively, and ψ i1 (t), ψ i2 (t) represents the curves of real-time voltage parameters of high-voltage and low-voltage battery cells as a function of time during the voltage equalization process, respectively. i10 (t), ψ i20 (t) represents the curves of standard voltage parameters of high-voltage and low-voltage battery cells as a function of time during the voltage equalization process, where α and β are weighting coefficients, and T is the time. i T0 represents the total time taken after completing the voltage equalization process, while T0 represents the standard time taken after completing one voltage equalization process. This time is determined based on a combination of historical and experimental data.

[0017] As a further technical solution, the process of determining whether the balancing current parameters are abnormal based on the anomaly coefficient is as follows:

[0018] Compare the calculated anomaly coefficient φ with the preset anomaly coefficient threshold φ0;

[0019] If φ>φ0, then the current equalization current parameters are considered normal.

[0020] If φ < φ0, then the current equalization current parameter is considered abnormal.

[0021] As a further technical solution, when the current equalization current parameter is determined to be abnormal, the method for obtaining the deviation value is as follows:

[0022] Through the formula: The deviation value υ is calculated.

[0023] Where Δι0 is the reference resistance parameter value during the time period t0 to t1, ι ij(t) is a real-time resistance parameter change curve over time, i0(t) is a resistance parameter change curve over time predicted according to historical data, and M is the number of ti~ti+1 sub-periods equally divided from t0~t1.

[0024] As a further technical solution, the process of judging whether the battery unit has a connection problem is:

[0025] The calculated deviation value υ is compared with the preset deviation interval [υ l , υ h ];

[0026] If υ>υ h , it is judged that the battery unit connection is abnormal;

[0027] If υ∈[υ l , υ h ], the battery unit connection state is further analyzed;

[0028] If υ<υ l , it is judged that the battery unit connection is normal.

[0029] As a further technical solution, the process of further analyzing the battery unit connection state is:

[0030] The temperature difference Θ is calculated by the formula:

[0031] ; wherein T 1max , T 2max , …, T Mmax are the maximum values of the temperature parameters in ti~ti+1 sub-periods, is the temperature mean value;

[0032] The calculated temperature difference Θ is compared with the temperature warning value Θ0;

[0033] If Θ≥Θ0, it is judged that the battery unit temperature is abnormal;

[0034] Otherwise, it is judged that the battery unit temperature is normal.

[0035] As a further technical solution, the process of further analyzing the battery unit connection state further includes:

[0036] The battery unit satisfying υ∈[υ l , υ h ] and Θ≥Θ0 is judged to be connected abnormally;

[0037] The battery unit only satisfying υ∈[υ l , υ h ] is judged to be connected normally.

[0038] An intelligent battery repair system comprises:

[0039] A battery data acquisition module is configured to acquire actual voltage values of each battery cell in a target battery in real time.

[0040] A repair analysis module is configured to compare the actual voltage values of each battery cell with preset reference voltages.

[0041] A repair execution module is configured to acquire battery cells exceeding the preset reference voltages and mark the battery cells according to the comparison results, arrange the marked battery cells in descending order according to the difference between the actual voltage values and the reference voltage values, and connect the first high battery cell and the last low battery cell in the order to an equalizer for voltage equalization.

[0042] A repair monitoring module is configured to acquire voltage parameters, temperature parameters, resistance parameters, equalization current parameters, and total time consumption after completing voltage equalization of two battery cells in real time during the voltage equalization process.

[0043] A repair adjustment module is configured to obtain a repair index by processing the voltage parameters, the temperature parameters, and the total time consumption after completing voltage equalization, obtain an abnormality coefficient by analyzing the repair index, determine whether the equalization current parameters are abnormal according to the abnormality coefficient, and adjust the equalization current parameters if the equalization current parameters are abnormal.

[0044] A correction analysis module is configured to acquire a change curve of the resistance parameters over time, compare the change curve with a change curve of the resistance parameters over time predicted according to historical data, calculate a deviation value, determine whether the battery cells have connection problems according to the deviation value, stop adjusting the equalization current parameters if the battery cells have connection problems, and otherwise normally execute the adjustment of the equalization current.

[0045] The present application has the following advantages:

[0046] The present application has the following advantages:

[0047] In order to prevent the phenomenon that the balanced voltage still exists imbalance in the process of balancing voltage, therefore, the repair index is obtained by processing the voltage parameter, temperature parameter and total time consumption after the current balanced voltage is completed, the abnormal coefficient is obtained by analyzing the repair index, whether the balancing current parameter is abnormal is judged according to the abnormal coefficient, if abnormal, the balancing current parameter is adjusted; subsequently, the resistance parameter change curve with time is obtained, and compared with the resistance parameter change curve with time predicted according to historical data, the deviation value is calculated and obtained, whether the battery unit exists connection problem is judged according to the deviation value, if existing, the adjustment of the balancing current parameter is stopped, otherwise, the adjustment of the balancing current is normally executed, so that the potential risk is found in time in the process of balancing voltage, the balancing current parameter is dynamically adjusted, so as to achieve the expected balancing voltage effect, and the phenomenon that the balanced voltage still exists imbalance due to connection problem can be found in advance. BRIEF DESCRIPTION OF DRAWINGS

[0048] The application will be further described below in conjunction with the accompanying drawings.

[0049] Figure 1 The method steps of the application. DETAILED DESCRIPTION

[0050] The technical solutions in the embodiments of the application will be clearly and completely described below with reference to the drawings in the embodiments of the application. Obviously, the described embodiments are only part of the embodiments of the application, rather than all the embodiments of the application. Based on the embodiments in the application, all other embodiments obtained by those skilled in the art without creative labor fall within the protection scope of the application.

[0051] Please refer to Figure 1 The application is an intelligent repair method for a storage battery, which comprises:

[0052] S1: Real-time acquisition of actual voltage values of each battery unit in a target storage battery;

[0053] S2: Comparison of the actual voltage values of each battery unit with preset reference voltages;

[0054] S3: Acquisition of battery units exceeding the preset reference voltages according to the comparison results and marking, and arrangement of the marked battery units according to the difference between the actual voltage values and the reference voltage values from large to small, wherein the high battery unit in the first place and the low battery unit with the minimum actual voltage value are connected with a balancer for voltage balancing;

[0055] S4: Real-time acquisition of voltage parameters, temperature parameters, resistance parameters, balancing current parameters and total time consumption after completing a balanced voltage of two battery units in the process of voltage balancing;

[0056] S5: obtaining a repair index by processing the voltage parameter, the temperature parameter and the total time consumption after the current balancing voltage is completed, obtaining an abnormality coefficient by analyzing the repair index, judging whether the balancing current parameter is abnormal according to the abnormality coefficient, and adjusting the balancing current parameter if it is abnormal;

[0057] S6: obtaining a change curve of the resistance parameter over time, comparing the change curve with a change curve of the resistance parameter over time predicted according to historical data, calculating a deviation value, judging whether the battery unit has a connection problem according to the deviation value, stopping adjusting the balancing current parameter if there is a connection problem, and otherwise normally executing the adjustment of the balancing current.

[0058] In the embodiment, the battery units in the storage battery are detected, and the actual voltage value detected is compared with the preset reference voltage. If there is an exceeding case, it indicates that the battery needs to be balanced and repaired. When more than one battery unit exceeds the reference voltage, the difference between the actual voltage value and the reference voltage value is arranged from large to small, and the high battery unit in the first place and the low battery unit with the minimum actual voltage value are the balancing objects. In the balancing voltage process, in order to prevent the phenomenon that the voltage after balancing is still unbalanced, a repair index is obtained by processing the voltage parameter, the temperature parameter and the total time consumption after the current balancing voltage is completed. An abnormality coefficient is obtained by analyzing the repair index. Whether the balancing current parameter is abnormal is judged according to the abnormality coefficient. If it is abnormal, the balancing current parameter is adjusted. Then, a change curve of the resistance parameter over time is obtained, and the change curve is compared with a change curve of the resistance parameter over time predicted according to historical data. A deviation value is calculated. Whether the battery unit has a connection problem is judged according to the deviation value. If there is a connection problem, the adjustment of the balancing current parameter is stopped. Otherwise, the adjustment of the balancing current is normally executed. Thus, potential risks are found in time in the balancing voltage process, the balancing current parameter is dynamically adjusted, the expected balancing voltage effect is achieved, and the phenomenon that the voltage after balancing is still unbalanced due to a connection problem can be found in advance.

[0059] The method for obtaining the abnormality coefficient is:

[0060] The abnormality coefficient φ is calculated by the formula: The abnormality coefficient φ is calculated by the formula: i K is a preset proportion coefficient, K i φi is the repair index of the i th time when the balancing voltage is completed, and n is the number of times of repair of the current storage battery;

[0061] wherein,

[0062] wherein χ is a dimensionless coefficient, t0 and t1 are the start time and the end time respectively, and ψ i1 (t) and ψ i2(t) are respectively the real-time voltage parameter curves of the high battery cell and the low battery cell in the equalization voltage process with time, ψ i1 (t) are respectively the real-time voltage parameter curves of the high battery cell and the low battery cell in the equalization voltage process with time, ψ i2 (t) are respectively the standard voltage parameter curves of the high battery cell and the low battery cell in the equalization voltage process with time, and α and β are weight coefficients, T i is the total time consumption after the current equalization voltage is completed, and T0 is the standard time consumption after the equalization voltage is completed once, which is determined based on historical data and experimental data.

[0063] The process of judging whether the equalization current parameter is abnormal according to the abnormality coefficient is as follows:

[0064] The calculated abnormality coefficient φ is compared with a preset abnormality coefficient threshold φ0.

[0065] If φ>φ0, it is judged that the current equalization current parameter is normal.

[0066] If φ<φ0, it is judged that the current equalization current parameter is abnormal.

[0067] In this embodiment, a method for obtaining an abnormality coefficient is provided, specifically, first, the temperature parameter K is obtained, and then the formula is substituted to calculate the abnormality coefficient φ. Obviously, the greater the difference between |ψ i1 (t) and ψ i1 (t) and |ψ i2 (t) and ψ i20 (t) is, the greater K i is, The greater the ratio of K i is, the greater the influence of temperature on K i is, and vice versa. Thus, a correlation model of the temperature parameter, the voltage parameters of the two battery cells and the total time consumption is established to more accurately reflect the deviation of voltage equalization and improve the judgment accuracy. In addition, the equalization current can be adjusted according to the abnormality coefficient to improve the efficiency of equalization voltage repair.

[0068] When it is judged that the current equalization current parameter is abnormal, the method for obtaining the deviation value is as follows:

[0069] The deviation value υ is calculated by the formula:

[0070] wherein, ι0 is the reference resistance parameter value in the period of t0-t1, ι ij (t) is the real-time resistance parameter curve with time, ι0(t) is the resistance parameter curve with time predicted according to historical data, and M is the number of dividing the period of t0-t1 into ti-ti+1 sub-periods.

[0071] The process of judging whether the battery unit has a connection problem is as follows:

[0072] The deviation value υ obtained by calculation is compared with the preset deviation interval [υ l , υ h ];

[0073] If υ>υ h , it is judged that the battery unit has a connection problem;

[0074] If υ∈[υ l , υ h ], the connection state of the battery unit is further analyzed;

[0075] If υ<υ l , it is judged that the battery unit has a normal connection.

[0076] The process of further analyzing the connection state of the battery unit is as follows:

[0077] The temperature difference value Θ is obtained by the formula:

[0078] Wherein, T 1ma , T 2max ,..., and T Mmax are the maximum values of the temperature parameters in ti~ti+1 minute periods, respectively, and T l is the average temperature.

[0079] The temperature difference value Θ obtained by calculation is compared with the temperature warning value Θ0;

[0080] If Θ≥Θ0, it is judged that the temperature of the battery unit is abnormal;

[0081] Otherwise, it is judged that the temperature of the battery unit is normal.

[0082] The process of further analyzing the connection state of the battery unit also includes:

[0083] The battery unit that satisfies υ∈[υ l , υ h ] and Θ≥Θ0 is judged to have a connection problem;

[0084] The battery unit that only satisfies υ∈[υ l , υ h ] is judged to have a normal connection.

[0085] In this embodiment, a method for judging whether a battery unit has a connection problem is provided. Specifically, the deviation value υ is obtained by the formula The deviation value υ obtained by calculation is compared with the preset deviation interval [υ l , υ h ]; if υ>υ hIf υ∈[υ l , υ h ], further analysis is made on the connection state of the battery unit; if υ<υ l , it is determined that the connection of the battery unit is normal; then, in combination with the temperature change, the temperature difference Θ is calculated by the formula: If υ∈[υ l , υ h ] and Θ≥Θ0, the battery unit is determined to be connected abnormally; if only υ∈[υ l , υ h ], the battery unit is determined to be connected normally; thus, the condition in the interval can be combined with the temperature change to make a second determination, so as to accurately adjust the equalization current parameter, and in the presence of a connection problem, the equalization voltage process is stopped to manually detect the connection condition, so as to prevent dangerous consequences caused by invalid adjustment of the equalization current parameter.

[0086] An intelligent battery repair system, comprising:

[0087] a battery data acquisition module for acquiring actual voltage values of each battery unit in a target battery in real time;

[0088] a repair analysis module for comparing the actual voltage values of each battery unit with a preset reference voltage;

[0089] a repair execution module for obtaining and marking the battery units exceeding the preset reference voltage according to the comparison result, and arranging the marked battery units in descending order according to the difference between the actual voltage value and the reference voltage value, wherein the high battery unit in the first place and the low battery unit with the minimum actual voltage value are connected to an equalizer for voltage equalization;

[0090] a repair monitoring module for acquiring voltage parameters, temperature parameters, resistance parameters, equalization current parameters of two battery units in the voltage equalization process, and total time consumption after completion of one equalization voltage;

[0091] a repair adjustment module for processing the voltage parameters, temperature parameters and total time consumption after completion of the equalization voltage to obtain a repair index, analyzing the repair index to obtain an abnormality coefficient, judging whether the equalization current parameter is abnormal according to the abnormality coefficient, and adjusting the equalization current parameter if it is abnormal;

[0092] a correction analysis module for acquiring a change curve of the resistance parameter with time, comparing it with a change curve of the resistance parameter with time predicted according to historical data, calculating a deviation value, and judging whether the battery unit has a connection problem according to the deviation value; if it has, the adjustment of the equalization current parameter is stopped; otherwise, the adjustment of the equalization current is normally performed.

[0093] The above has been described in detail one embodiment of the present application, but the content is only the preferred embodiment of the present application, cannot be considered for limiting the scope of the present application. Any equivalent changes and improvements made in the scope of the present application, should still belong to the scope of the present application.

Claims

1. A method for intelligent repair of a battery, characterized in that, include: S1: Real-time acquisition of the actual voltage value of each battery cell in the target battery; S2: Compare the actual voltage value of each battery cell with the preset reference voltage; S3: Based on the comparison results, identify and mark the battery cells that exceed the preset reference voltage. Arrange the marked battery cells in descending order of the difference between the actual voltage value and the reference voltage value. Connect the highest-ranked high-voltage battery cell and the lowest-ranked low-voltage battery cell to the equalizer for voltage equalization. S4: Real-time acquisition of voltage parameters, temperature parameters, resistance parameters, equalization current parameters of the two battery cells during the voltage equalization process, as well as the total time taken to complete one voltage equalization cycle; S5: Process the voltage parameters, temperature parameters, and the total time taken after the current voltage equalization is completed to obtain the repair index. Analyze the repair index to obtain the abnormality coefficient. Determine whether the equalization current parameter is abnormal based on the abnormality coefficient. If it is abnormal, adjust the equalization current parameter. S6: Obtain the resistance parameter change curve over time and compare it with the resistance parameter change curve predicted based on historical data. Calculate the deviation value and determine whether there is a connection problem in the battery cell based on the deviation value. If there is, stop adjusting the equalization current parameter; otherwise, perform the equalization current adjustment normally. The method for obtaining the anomaly coefficient is as follows: The abnormality coefficient is calculated by the formula: ; wherein is a preset proportion coefficient, is the i-th repair index of the equalized voltage, is the current repair number of the storage battery;​ wherein ; In the formula is a dimensionless coefficient, are the start time and the end time, respectively, , are the real-time voltage parameter-time curves of the high battery unit and the low battery unit in the equalization voltage process, respectively, , are the standard voltage parameter-time curves of the high battery unit and the low battery unit in the equalization voltage process, respectively, , is a weight coefficient, is the total time consumed after the current equalization voltage is completed, is the standard time consumed after one equalization voltage is completed, which is determined based on historical data and experimental data. The process of determining whether the equalization current parameters are abnormal based on the anomaly coefficient is as follows: The abnormality coefficient obtained by calculation is compared with a preset abnormality coefficient threshold value performed;​ like If so, then the current equalization current parameters are considered normal; like If so, the current equalization current parameter is determined to be abnormal; When the current equalization current parameter is determined to be abnormal, the method for obtaining the deviation value is as follows: Through the formula: Calculate the deviation value ; in, for ~ Reference resistance parameter values ​​within the time period, This is a curve showing the change of real-time resistance parameters over time. This is a curve showing the change of resistance parameters over time, predicted based on historical data. To be ~ The number of time periods that can be divided into equal segments; The process for determining whether there is a connection problem in the battery cell is as follows: The calculated deviation value Deviation range from the preset calibration Comparison; like If so, it is determined that the battery cell connection is abnormal; like Then, the connection status of the battery cells will be further analyzed; like If so, it can be determined that the battery cell connection is normal.

2. The intelligent battery repair method according to claim 1, characterized in that, The process of further analyzing the battery cell connection status is as follows: Through the formula: ; Calculate the temperature difference value ;in, , ... These represent the maximum temperature parameters for each time period. This is the average temperature. The temperature difference will be calculated. Temperature warning value Perform a comparison; like ≥ If so, the battery cell temperature is determined to be abnormal; Otherwise, the battery cell temperature is considered normal.

3. The intelligent battery repair method according to claim 2, characterized in that, Further analysis of the battery cell connection status also includes: Will satisfy and ≥ The battery cell was found to have an abnormal connection. Will only satisfy The battery cell connection is normal.

4. A battery intelligent repair system, wherein the system uses the battery intelligent repair method according to any one of claims 1-3, characterized in that, include: The battery data acquisition module is used to acquire the actual voltage value of each battery cell in the target battery in real time. The repair analysis module is used to compare the actual voltage value of each battery cell with a preset reference voltage. The repair execution module is used to obtain and mark battery cells that exceed the preset reference voltage based on the comparison results. The marked battery cells are arranged in descending order of the difference between the actual voltage value and the reference voltage value. The high battery cell ranked first and the low battery cell with the smallest actual voltage value are connected to the equalizer for voltage equalization. The repair monitoring module is used to obtain the voltage parameters, temperature parameters, resistance parameters, equalization current parameters of the two battery cells in real time during the voltage equalization process, as well as the total time taken to complete one voltage equalization. The repair and adjustment module is used to process voltage parameters, temperature parameters, and the total time taken after the current voltage equalization is completed to obtain a repair index. The repair index is analyzed to obtain an anomaly coefficient. Based on the anomaly coefficient, it is determined whether the equalization current parameter is abnormal. If it is abnormal, the equalization current parameter is adjusted. The calibration analysis module is used to obtain the resistance parameter change curve over time and compare it with the resistance parameter change curve predicted based on historical data. The deviation value is calculated and the deviation value is used to determine whether there is a connection problem in the battery cell. If there is, the adjustment of the equalization current parameter is stopped; otherwise, the adjustment of the equalization current is performed normally.

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