New energy battery health state monitoring method and system based on big data analysis

Abstract

The invention relates to the technical field of new energy automobile batteries, and particularly discloses a new energy battery health state monitoring method and system based on big data analysis, and the method comprises the steps: collecting historical performance parameters of a battery to which a new energy automobile belongs, and carrying out the big data analysis of a performance comprehensive evaluation value of the battery to which the new energy automobile belongs; therefore, the performance reference set of the battery to which the new energy automobile belongs is obtained through matching, a scientific data basis is provided for continuously monitoring the performance of the battery to which the new energy automobile belongs, and the performance stability index of the battery to which the new energy automobile belongs is evaluated by monitoring the actual operation condition of the new energy automobile. Therefore, the performance reference set of the battery to which the new energy automobile belongs is updated in time, the health state of the new energy battery can be continuously and accurately fed back, the safety and stability of the battery to which the new energy automobile belongs and even the running of the new energy automobile are powerfully guaranteed, and a solid guarantee is provided for safe running of the new energy automobile.

Description

Technical Field

[0001] The present invention relates to the technical field of new energy vehicle batteries, and specifically to a new energy battery health status monitoring method and system based on big data analysis. Background Art

[0002] With the rapid development of the new energy vehicle industry, the performance of new energy batteries, as its core components, directly affects the vehicle's range, power output and safety. Problems such as capacity attenuation, increased internal resistance, overheating and overcharging will not only reduce battery performance, but may also cause safety accidents. However, with the vigorous development of big data technology, big data technology can extract characteristic parameters related to battery health status from a large amount of test or actual vehicle operation data, and then through data analysis, achieve accurate estimation of battery health status.

[0003] For example, the invention patent with announcement number CN117741446B relates to the technical field of new energy vehicle batteries, and specifically announces a method and system for evaluating the health status of new energy vehicle batteries. The method includes: extracting charging segment data of original data; analyzing and calculating the true value of the battery capacity, specifically including: calculating the current capacity corresponding to each charging segment data, thereby calculating SOH as a label; using the local outlier factor algorithm, box plot principle or 3σ principle to eliminate outliers for the label capacity; analyzing and selecting features that are highly correlated with the battery health status SOH; inputting the selected feature data into a machine learning model for training; extracting the corresponding features of the vehicle to be predicted, and inputting them into the trained model for capacity prediction.

[0004] For example, the invention patent with announcement number CN116252682B announces a method and system for determining the health of a new energy vehicle power battery, which belongs to the field of power battery health management technology. It carries out two active control charging stages, analyzes the open circuit voltage based on the monitoring data of the active control charging stage, and obtains the charge based on the open circuit voltage table lookup, thereby improving the accuracy of the charge obtained, and thus improving the accuracy of the health calculated based on the parameter.

[0005] However, in the process of implementing the embodiments of the present application, it was found that the above-mentioned technology has at least the following technical problems: in the current technology for monitoring the health status of new energy vehicle batteries, the monitoring data only stays at the original record level, so that these data cannot be converted into practical improvement measures or management guidelines, and thus cannot fully enable the battery optimization and management process. Summary of the invention

[0006] In view of the deficiencies in the prior art, the present invention provides a new energy battery health status monitoring method and system based on big data analysis, which can effectively solve the problems involved in the above-mentioned background technology.

[0007] To achieve the above objectives, the present invention is implemented through the following technical solutions: The first aspect of the present invention provides a new energy battery health status monitoring method based on big data analysis, including:.

[0008] As a further method, the matching obtains a performance reference set of the battery belonging to the new energy vehicle. The specific matching process is: matching the comprehensive performance evaluation value of the battery belonging to the new energy vehicle with the performance reference set corresponding to each comprehensive performance evaluation value interval stored in the vehicle database, thereby obtaining the performance reference set of the battery belonging to the new energy vehicle.

[0009] As a further method, the performance stability index of the battery belonging to the new energy vehicle is comprehensively evaluated, and the specific evaluation process is: by combining the actual operating parameters of the battery belonging to the new energy vehicle, the performance reference set of the battery belonging to the new energy vehicle and the determination method of the first performance stability index of the battery belonging to the new energy vehicle, the first performance stability index of the battery belonging to the new energy vehicle is obtained; by combining the actual operating parameters of the battery belonging to the new energy vehicle, the performance reference set of the battery belonging to the new energy vehicle and the determination method of the second performance stability index of the battery belonging to the new energy vehicle, the second performance stability index of the battery belonging to the new energy vehicle is obtained; by combining the actual operating parameters of the battery belonging to the new energy vehicle, the performance reference set of the battery belonging to the new energy vehicle and the determination method of the third performance stability index of the battery belonging to the new energy vehicle, the third performance stability index of the battery belonging to the new energy vehicle is obtained; the first performance stability index of the battery belonging to the new energy vehicle, the second performance stability index of the battery belonging to the new energy vehicle and the third performance stability index of the battery belonging to the new energy vehicle are comprehensively considered to obtain the evaluation method of the performance stability index of the battery belonging to the new energy vehicle.

[0010] As a further method, the feedback on the health status of the new energy battery is specifically analyzed as follows: the feedback on the health status of the new energy battery is specifically fed back as follows: the first performance stability index of the battery belonging to the new energy vehicle is compared with the first performance stability threshold. If the first performance stability index of the battery belonging to the new energy vehicle is less than or equal to the first performance stability threshold, the first performance stability index of the battery belonging to the new energy vehicle is matched with the first adjustment set corresponding to each first performance stability index interval stored in the vehicle database, thereby obtaining and executing the first adjustment set of the battery belonging to the new energy vehicle, and updating the first performance stability index of the battery belonging to the new energy vehicle after the execution is completed; the second performance stability index of the battery belonging to the new energy vehicle is compared with the second performance stability threshold. If the second performance stability index of the battery belonging to the new energy vehicle is less than or equal to the second performance stability threshold, then The second performance stability index of the battery belonging to the new energy vehicle is matched with the second adjustment set corresponding to each second performance stability index interval stored in the vehicle database, thereby obtaining and executing the second adjustment set of the battery belonging to the new energy vehicle, and updating the second performance stability index of the battery belonging to the new energy vehicle after execution; the third performance stability index of the battery belonging to the new energy vehicle is compared with the third performance stability threshold value, if the third performance stability index of the battery belonging to the new energy vehicle is less than or equal to the third performance stability threshold value, then the third performance stability index of the battery belonging to the new energy vehicle is matched with the third adjustment set corresponding to each third performance stability index interval stored in the vehicle database, thereby obtaining and executing the third adjustment set of the battery belonging to the new energy vehicle, and updating the third performance stability index of the battery belonging to the new energy vehicle after execution, thereby completing the feedback on the health status of the new energy battery.

[0011] As a further method, the performance reference set of the battery belonging to the new energy vehicle is updated, and the specific updating process is: collecting parameters corresponding to the adjustment parts of the parameter set in the first adjustment set, the second adjustment set and the third adjustment set of the battery belonging to the new energy vehicle, marking them as the updated parameter set of the battery belonging to the new energy vehicle, and updating the performance reference set of the battery belonging to the new energy vehicle according to the updated parameter set of the battery belonging to the new energy vehicle.

[0012] The second aspect of the present invention provides a system for applying a new energy battery health status monitoring method based on big data analysis, characterized in that it includes:

[0013] Compared with the prior art, the embodiments of the present invention have at least the following advantages or beneficial effects:

[0014] (1) The present invention provides a new energy battery health status monitoring method and system based on big data analysis. By collecting historical performance parameters of batteries belonging to new energy vehicles and analyzing the comprehensive performance evaluation values ​​of batteries belonging to new energy vehicles through big data, a performance reference set of batteries belonging to new energy vehicles is obtained, thereby providing a scientific data basis for continuously monitoring the performance of batteries belonging to new energy vehicles. By monitoring the actual operation of new energy vehicles, the performance stability index of batteries belonging to new energy vehicles is evaluated, and the performance reference set of batteries belonging to new energy vehicles is updated in a timely manner. In this way, accurate feedback on the health status of new energy batteries can be continuously provided, which effectively ensures the safety and stability of batteries belonging to new energy vehicles and even the operation of new energy vehicles, and provides a solid guarantee for the safe driving of new energy vehicles.

[0015] (2) The present invention obtains the performance stability index of the battery belonging to the new energy vehicle by combining the first performance stability index of the battery belonging to the new energy vehicle, the second performance stability index of the battery belonging to the new energy vehicle, and the third performance stability index of the battery belonging to the new energy vehicle through comprehensive analysis. Therefore, the comprehensive performance stability of the battery belonging to the new energy vehicle can be analyzed and reflected from multiple aspects. Compared with the evaluation of a single dimension, the multi-dimensional analysis can effectively reduce the risk of misjudgment caused by one-sided information or data deviation, making the evaluation result more objective, accurate and comprehensive. This not only improves the accuracy of the performance stability evaluation of the battery belonging to the new energy vehicle, but also provides a more reliable scientific basis for the reference parameter update management and maintenance of the battery of the new energy vehicle.

[0016] (3) The present invention compares the performance stability index of the battery of the new energy vehicle with the historical performance stability index, thereby providing a data prerequisite for updating the performance reference set of the new energy battery, improving the accuracy of the health status feedback of the battery of the new energy vehicle, and enabling continuous monitoring to be established on the basis of accurate reference data, thereby greatly improving the real-time and reliability of the health status monitoring of the battery of the new energy vehicle. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] The present invention is further described using the accompanying drawings, but the embodiments in the accompanying drawings do not constitute any limitation to the present invention. A person skilled in the art can obtain other drawings based on the following drawings without creative work.

[0018] Figure 1 The figure is a schematic flow chart of the method steps of the present invention.

[0019] Figure 2 It is a schematic diagram of system module connection of the present invention.

[0020] Figure 3 It is a schematic diagram of the temperature change curve involved in the present invention.

[0021] Figure numerals: 1, sample temperature point; 2, initial temperature point; 3, final temperature point. DETAILED DESCRIPTION

[0022] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0023] Reference Figure 1 As shown, the first aspect of the present invention provides a new energy battery health status monitoring method based on big data analysis, including: S1. Collecting historical performance parameters of batteries belonging to new energy vehicles, and analyzing the comprehensive performance evaluation value of batteries belonging to new energy vehicles through big data analysis.

[0024] The historical performance parameters of the batteries of the above-mentioned new energy vehicles include the maximum battery capacity, the rated battery capacity, the average discharge current, the average charging current and the average battery internal resistance. In addition to being applied to the above-mentioned parameters, this example can also be applied to other parameters.

[0025] Specifically, the big data analyzes the comprehensive performance evaluation value of the battery of the new energy vehicle, and the specific analysis process is as follows:

[0026] The maximum battery capacity of the battery belonging to the new energy vehicle within the historical inspection cycle and the rated battery capacity of the battery belonging to the new energy vehicle are extracted from the historical performance parameters of the battery belonging to the new energy vehicle, and the battery maximum capacity is ratioed with the battery rated capacity to obtain the capacity retention rate of the battery belonging to the new energy vehicle within the historical inspection cycle; the above-mentioned historical inspection cycle refers to the time period of the most recent quality inspection in history of the new energy vehicle, and the parameters of the battery belonging to the new energy vehicle within the historical inspection cycle are the parameters recorded in the most recent quality inspection of the battery belonging to the new energy vehicle; the maximum battery capacity of the battery belonging to the new energy vehicle within the historical inspection cycle can be obtained by testing the capacity test method, specifically: the battery state is set to a fully charged state, and a predetermined discharge condition is applied to the battery, such as constant current discharge, and the discharge time and voltage change of the battery are recorded, and then the maximum capacity of the battery is calculated according to the maximum battery capacity = discharge current × discharge time, and this capacity value represents the maximum available capacity of the battery in the current state; the rated battery capacity of the battery belonging to the new energy vehicle is extracted from the specification manual of the battery belonging to the new energy vehicle.

[0027] The average discharge current of the battery belonging to the new energy vehicle during the historical detection period and the average charging current of the battery belonging to the new energy vehicle during the historical detection period are extracted from the historical performance parameters of the battery belonging to the new energy vehicle, and are ratioed with the battery rated capacity of the battery belonging to the new energy vehicle to obtain the discharge rate of the battery belonging to the new energy vehicle during the historical detection period and the charging rate of the battery belonging to the new energy vehicle during the historical detection period; the average discharge current of the battery belonging to the new energy vehicle during the historical detection period is measured by a battery comprehensive tester (such as Huipu) to obtain the real-time discharge current of the battery belonging to the new energy vehicle during the historical detection period, and the average discharge current is obtained by averaging; the average charging current of the battery belonging to the new energy vehicle during the historical detection period is consistent with the method of obtaining the average discharge current.

[0028] The average battery internal resistance of the battery of the new energy vehicle during the historical detection period is extracted from the historical performance parameters of the battery of the new energy vehicle, which can be measured by a battery internal resistance sensor. The battery internal resistance sensor can monitor the internal resistance change of the battery in real time and is connected to the battery management system (BMS) of the vehicle. The battery internal resistance sensor transmits the internal resistance data to the battery management system for further processing and analysis, such as averaging, to obtain the average battery internal resistance.

[0029] Thus, the comprehensive performance evaluation value of the battery of the new energy vehicle is analyzed by big data. In this embodiment, the comprehensive performance evaluation value of the battery of the new energy vehicle is obtained by comprehensive analysis of the capacity retention rate, discharge rate, charge rate and average battery internal resistance of the battery of the new energy vehicle in the historical detection cycle, and is used to determine the value of the comprehensive performance of the battery of the new energy vehicle in the historical detection cycle. The specific analysis method is as follows:

[0030]

[0031] CRN is the capacity retention rate of the battery belonging to new energy vehicles during the historical inspection cycle. It refers to the percentage value obtained by comparing the maximum capacity of the battery after being fully charged with the rated capacity of the battery after multiple charge and discharge cycles.

[0032] DRE is the discharge rate of the battery of a new energy vehicle during the historical inspection cycle, which indicates the ratio of the battery discharge current to the rated capacity of the battery. Specifically, the discharge rate is based on the rated capacity of the battery (usually expressed in ampere-hours) to measure the battery's ability to discharge current within a certain period of time.

[0033] CRE is the charging rate of the battery of new energy vehicles during the historical inspection cycle, which indicates the ratio of the battery charging current to the rated capacity of the battery. The charging rate is also based on the rated capacity of the battery to measure the battery's ability to accept current within a certain period of time.

[0034] RAY is the average battery internal resistance of the battery of new energy vehicles during the historical detection cycle. It refers to the average value of the internal resistance exhibited by the battery during charging or discharging during the historical detection cycle. Battery internal resistance is an important parameter of battery performance, which reflects the resistance of the electrochemical reaction inside the battery and the difficulty of electron flow.

[0035] e is a natural constant, A1 is an influence factor corresponding to the unit value of the capacity retention rate preset in the automobile database, and represents the influence degree of the unit value of the capacity retention rate on the comprehensive performance evaluation value of the battery of the new energy vehicle. When used, the influence factor corresponding to the unit value of the capacity retention rate can be directly obtained from the automobile database, and the corresponding relationship can be a preset mapping relationship. For example, the capacity retention rate and the influence factor corresponding to the unit value of the capacity retention rate preset in the automobile database form a mapping set, and the real-time capacity retention rate is input into the mapping set to obtain the influence factor corresponding to the unit value of the capacity retention rate. The mapping relationship can be one-to-one or many-to-one. In this example, its value range is [0, 1].

[0036] A2 is the influence factor corresponding to the discharge rate unit value preset in the automobile database, which represents the influence degree of the discharge rate unit value on the comprehensive performance evaluation value of the battery belonging to the new energy vehicle. When used, the influence factor corresponding to the discharge rate unit value can be directly obtained from the automobile database, and the corresponding relationship can be a preset mapping relationship. For example, the discharge rate and the influence factor corresponding to the discharge rate unit value preset in the automobile database form a mapping set, and the real-time discharge rate is input into the mapping set to obtain the influence factor corresponding to the discharge rate unit value. The mapping relationship can be one-to-one or many-to-one. In this example, its value range is [0, 1].

[0037] A3 is the influence factor corresponding to the charging rate unit value preset in the automobile database, which represents the influence degree of the charging rate unit value on the comprehensive performance evaluation value of the battery belonging to the new energy vehicle. When used, the influence factor corresponding to the charging rate unit value can be directly obtained from the automobile database, and the corresponding relationship can be a pre-set mapping relationship. For example, the charging rate and the influence factor corresponding to the charging rate unit value preset in the automobile database form a mapping set, and the real-time charging rate is input into the mapping set to obtain the influence factor corresponding to the charging rate unit value. The mapping relationship can be one-to-one or many-to-one. In this example, its value range is [0, 1].

[0038] A4 is the influence factor corresponding to the average battery internal resistance unit value preset in the automobile database, which represents the influence degree of the average battery internal resistance unit value on the comprehensive performance evaluation value of the battery belonging to the new energy vehicle. When used, the influence factor corresponding to the average battery internal resistance unit value can be directly obtained from the automobile database, and the corresponding relationship can be a preset mapping relationship. For example, the average battery internal resistance and the influence factor corresponding to the average battery internal resistance unit value preset in the automobile database form a mapping set, and the real-time average battery internal resistance is input into the mapping set to obtain the influence factor corresponding to the average battery internal resistance unit value. The mapping relationship can be one-to-one or many-to-one. In this example, its value range is [0, 1].

[0039] Among them, TOL is the comprehensive performance evaluation value of the battery belonging to new energy vehicles, and the capacity retention rate is a measure of the battery's ability to maintain its initial capacity during long-term use. When the battery discharge or charge rate is abnormal, more heat and stress will be generated inside the battery. These factors will accelerate the chemical aging and physical wear of the battery, resulting in a decrease in the capacity retention rate. Secondly, abnormal discharge rate or charge rate will cause violent electrochemical reactions and physical changes inside the battery. These changes will further increase the internal resistance of the battery. The internal resistance of the battery is the internal resistance to the current of the battery. It directly affects the charging and discharging efficiency and performance of the battery. With the use and aging of the battery, the internal resistance will gradually increase, and abnormal discharge rate and charge rate will aggravate this process. The increase in internal resistance means that the battery needs to consume more energy to overcome internal obstacles during the charging and discharging process, thereby reducing the efficiency and performance of the battery. Therefore, the above parameters jointly reflect the comprehensive performance of the battery and provide a scientific data basis for the health status monitoring of new energy batteries.

[0040] S2. The comprehensive performance evaluation value of the battery belonging to the new energy vehicle is matched to obtain the performance reference set of the battery belonging to the new energy vehicle. At the same time, by monitoring the actual operation of the new energy vehicle, the actual operation parameters of the battery belonging to the new energy vehicle are obtained, and the first performance stability index of the battery belonging to the new energy vehicle, the second performance stability index of the battery belonging to the new energy vehicle and the third performance stability index of the battery belonging to the new energy vehicle are determined. Thus, the health status of the new energy battery is fed back, and the performance stability index of the battery belonging to the new energy vehicle is comprehensively evaluated.

[0041] The actual operating parameters of the battery of the above-mentioned new energy vehicle include: discharge capacity, average battery internal resistance, average discharge current, average discharge voltage and temperature change curve. In addition to being applied to the above-mentioned parameters, this example can also be used for other parameters.

[0042] In a specific embodiment, the present invention combines the first performance stability index of the battery belonging to the new energy vehicle, the second performance stability index of the battery belonging to the new energy vehicle, and the third performance stability index of the battery belonging to the new energy vehicle to obtain a performance stability index of the battery belonging to the new energy vehicle through comprehensive analysis. The comprehensive performance stability of the battery belonging to the new energy vehicle can be analyzed and reflected from multiple aspects. Compared with a single-dimensional evaluation, the multi-dimensional analysis can effectively reduce the risk of misjudgment caused by one-sided information or data deviation, making the evaluation results more objective, accurate and comprehensive. This not only improves the accuracy of the performance stability evaluation of the battery belonging to the new energy vehicle, but also provides a more reliable scientific basis for the reference parameter update management and maintenance of the battery of the new energy vehicle.

[0043] Specifically, the matching obtains the performance reference set of the battery of the new energy vehicle, and the specific matching process is:

[0044] The comprehensive performance evaluation value of the battery belonging to the new energy vehicle is matched with the performance reference set corresponding to each comprehensive performance evaluation value interval stored in the automobile database, thereby obtaining the performance reference set of the battery belonging to the new energy vehicle; the specific corresponding rules and corresponding values ​​of the performance reference set corresponding to the above-mentioned comprehensive performance evaluation value interval are formulated by the vehicle manager based on the data provided by the manufacturer of the new energy vehicle, industry standards and actual operating experience, and the parameters in the performance reference set will be used as a benchmark for evaluating the performance of the battery belonging to the new energy vehicle; in an example embodiment, assuming that the comprehensive performance evaluation value of the battery belonging to the new energy vehicle is 131.7%, in the comprehensive performance evaluation value interval [130%, 135%] stored in the automobile database, the performance reference set corresponding to the comprehensive performance evaluation value interval [130%, 135%] includes: if the new energy vehicle is in a stationary state, the discharge power reference value of the battery belonging to the new energy vehicle during the operation monitoring cycle is 5 kWh, the average battery internal resistance limit value of the battery belonging to the new energy vehicle during the operation monitoring cycle is 55 milliohms, and the reference average discharge current of the battery belonging to the new energy vehicle during the operation monitoring cycle is 50 milliamperes, the reference average discharge voltage of the battery belonging to the new energy vehicle during the operation monitoring cycle is 325 volts, the reference average temperature value of the battery belonging to the new energy vehicle during the operation monitoring cycle is the ambient temperature (assuming that the ambient temperature of the battery is 25 degrees Celsius, the reference average temperature value is 25 degrees Celsius), and the reference temperature growth rate of the battery belonging to the new energy vehicle during the operation monitoring cycle is 0.1 degrees Celsius per hour; if the average vehicle speed of the battery belonging to the new energy vehicle during the operation monitoring cycle is 50 kilometers per hour to 55 kilometers per hour, the reference value of the discharge capacity of the battery belonging to the new energy vehicle during the operation monitoring cycle is 2000 kWh, the average battery internal resistance limit value of the battery belonging to the new energy vehicle during the operation monitoring cycle is 60 milliohms, the reference average discharge current of the battery belonging to the new energy vehicle during the operation monitoring cycle is 200 amperes, the reference average discharge voltage of the battery belonging to the new energy vehicle during the operation monitoring cycle is 315 amperes, the reference average temperature value of the battery belonging to the new energy vehicle during the operation monitoring cycle is 35 degrees Celsius, and the reference temperature growth rate of the battery belonging to the new energy vehicle during the operation monitoring cycle is 0.3 degrees Celsius per minute.

[0045] It should be explained that a performance reference set in the present embodiment only gives reference values ​​under two operating conditions. In actual use, the operating conditions of new energy vehicles contained in the performance reference set are more comprehensive, such as a set of reference values ​​corresponding to 10 average vehicle speed intervals.

[0046] Specifically, the first performance stability index of the battery of the new energy vehicle is determined by:

[0047] The discharge power of the battery belonging to the new energy vehicle during the operation monitoring cycle and the average battery internal resistance of the battery belonging to the new energy vehicle during the operation monitoring cycle are extracted from the actual operation parameters of the battery belonging to the new energy vehicle; the above-mentioned operation monitoring cycle refers to the time period for monitoring the actual operation of the battery belonging to the new energy vehicle, and its specific duration is determined by the equipment operation and maintenance administrator; the discharge power of the battery belonging to the new energy vehicle during the operation monitoring cycle is extracted from the power usage data recorded in the battery management system (BMS); the average battery internal resistance of the battery belonging to the new energy vehicle during the operation monitoring cycle is consistent with the method of obtaining the average battery internal resistance of the battery belonging to the new energy vehicle in the historical detection cycle.

[0048] At the same time, the discharge power reference value of the battery belonging to the new energy vehicle in the operation monitoring cycle and the average battery internal resistance limit value of the battery belonging to the new energy vehicle in the operation monitoring cycle are extracted from the performance reference set of the battery belonging to the new energy vehicle, thereby combining the comprehensive performance evaluation value of the battery belonging to the new energy vehicle to obtain a determination method for the first performance stability index of the battery belonging to the new energy vehicle. In this embodiment, the first performance stability index of the battery belonging to the new energy vehicle is obtained by comprehensive analysis of the comprehensive performance evaluation value of the battery belonging to the new energy vehicle, the discharge power of the battery belonging to the new energy vehicle in the operation monitoring cycle, the average battery internal resistance, the discharge power reference value and the average battery internal resistance limit value, and is used to determine the overall performance stability of the battery belonging to the new energy vehicle. The specific determination method is as follows:

[0049]

[0050] TOL is a comprehensive performance evaluation value of batteries used in new energy vehicles. It is obtained through a comprehensive analysis of the capacity retention rate, discharge rate, charge rate and average battery internal resistance of batteries used in new energy vehicles during the historical inspection cycle. It is a numerical value used to determine the comprehensive performance of batteries used in new energy vehicles during the historical inspection cycle.

[0051] TD is the discharge capacity of the battery of a new energy vehicle during the operation monitoring cycle, which refers to the total amount of electricity released by the battery of a new energy vehicle during the operation monitoring cycle.

[0052] RAY Δ It is the average battery internal resistance of the battery belonging to the new energy vehicle during the operation monitoring cycle, which refers to the average value of the battery internal resistance of the battery belonging to the new energy vehicle during the operation monitoring cycle.

[0053] ΔTD is a reference value for the discharge power of a battery belonging to a new energy vehicle during an operation monitoring cycle, and represents a reference value for analyzing the discharge power of a battery belonging to a new energy vehicle during an operation monitoring cycle.

[0054] RAY JIt is the limit value of the average battery internal resistance of the battery belonging to the new energy vehicle during the operation monitoring cycle, which indicates the maximum value of the average battery internal resistance of the battery belonging to the new energy vehicle during the operation monitoring cycle.

[0055] e is a natural constant, and F is a weight factor corresponding to a comprehensive performance evaluation value preset in a car database, indicating the proportion of the comprehensive performance evaluation value to the first performance stability index of the battery to which the new energy vehicle belongs. When in use, the weight factor corresponding to the comprehensive performance evaluation value can be directly obtained from the car database, and the corresponding relationship can be a preset mapping relationship. For example, the capacity retention rate, discharge rate, charge rate, and average battery internal resistance form a mapping set with the weight factor corresponding to the comprehensive performance evaluation value preset in the car database. The real-time capacity retention rate, discharge rate, charge rate, and average battery internal resistance are input into the mapping set to obtain the weight factor corresponding to the comprehensive performance evaluation value. The mapping relationship can be one-to-one or many-to-one. In this example, its value range is [0, 1].

[0056] Among them, SIP First It is the first performance stability index of batteries for new energy vehicles. With the continuous use and gradual aging of the battery, its internal resistance inevitably shows an increasing trend. This change profoundly affects the charging and discharging performance and efficiency of the battery. Specifically, the discharge capacity of the battery deviates significantly from the reference value, which directly reflects the attenuation of the battery's energy output capacity. In this context, combined with the comprehensive performance evaluation value of the battery for new energy vehicles, it can more comprehensively and deeply evaluate the stability of the battery in its own performance, and provide strong support for the healthy management and maintenance of the battery.

[0057] Specifically, the second performance stability index of the battery of the new energy vehicle is determined by:

[0058] The average discharge current of the battery belonging to the new energy vehicle during the operation monitoring cycle and the average discharge voltage of the battery belonging to the new energy vehicle during the operation monitoring cycle are extracted from the actual operating parameters of the battery belonging to the new energy vehicle; the average discharge current of the battery belonging to the new energy vehicle during the operation monitoring cycle and the average discharge voltage of the battery belonging to the new energy vehicle during the operation monitoring cycle are extracted from the data recorded by the battery management system (BMS).

[0059] At the same time, the reference average discharge current of the battery belonging to the new energy vehicle in the operation monitoring cycle and the reference average discharge voltage of the battery belonging to the new energy vehicle in the operation monitoring cycle are extracted from the performance reference set of the battery belonging to the new energy vehicle, thereby comprehensively analyzing the comprehensive performance evaluation value of the battery belonging to the new energy vehicle to obtain a method for determining the second performance stability index of the battery belonging to the new energy vehicle. In this embodiment, the second performance stability index of the battery belonging to the new energy vehicle is obtained by comprehensively analyzing the comprehensive performance evaluation value of the battery belonging to the new energy vehicle, the average discharge current, the average discharge voltage, the reference average discharge current and the reference average discharge voltage of the battery belonging to the new energy vehicle in the operation monitoring cycle, and is used to determine the value of the circuit operation stability of the battery belonging to the new energy vehicle. The specific determination method is as follows:

[0060]

[0061] TOL is the comprehensive performance evaluation value of the battery belonging to new energy vehicles, and CT is the average discharge current of the battery belonging to new energy vehicles during the operation monitoring cycle. It refers to the average value of the current during the battery discharge process of the battery belonging to the new energy vehicle during the operation monitoring cycle. This parameter is one of the important indicators for evaluating battery performance, endurance and battery management system (BMS) efficiency.

[0062] VG is the average discharge voltage of the battery belonging to the new energy vehicle during the operation monitoring cycle, which refers to the average value of the voltage during the battery discharge process of the battery belonging to the new energy vehicle during the operation monitoring cycle. This parameter reflects the energy output capacity and stability of the battery during the discharge process.

[0063] ΔCT is a reference average discharge current of a battery belonging to a new energy vehicle during an operation monitoring cycle, and represents a reference value for analyzing an average discharge current of a battery belonging to a new energy vehicle during an operation monitoring cycle.

[0064] ΔVG is the reference average discharge voltage of the battery of the new energy vehicle during the operation monitoring cycle, which represents the reference value for analyzing the average discharge voltage of the battery of the new energy vehicle during the operation monitoring cycle.

[0065] e is a natural constant, and F is a weight factor corresponding to the comprehensive performance evaluation value preset in the automobile database, which indicates the proportion of the comprehensive performance evaluation value to the second performance stability index of the battery of the new energy vehicle.

[0066] It needs to be explained that the proportion of the comprehensive performance evaluation value in the first performance stability index of the battery belonging to new energy vehicles, the proportion of the comprehensive performance evaluation value in the second performance stability index of the battery belonging to new energy vehicles, and the proportion of the comprehensive performance evaluation value in the third performance stability index of the battery belonging to new energy vehicles are equal. Therefore, the weight factor corresponding to the same comprehensive performance evaluation value can be used for data analysis.

[0067] Among them, SIP Second It is the second performance stability index of the battery of new energy vehicles. When the average discharge current of the battery deviates significantly from its reference average discharge current, it usually indicates that there may be abnormal conditions such as short circuit or open circuit in the battery circuit. Such abnormal conditions will cause the average discharge voltage of the battery to deviate significantly from its reference average discharge voltage. On this basis, combined with the comprehensive performance evaluation value of the battery carried by new energy vehicles, the circuit stability of the new energy vehicle battery, that is, the second performance stability, can be comprehensively and accurately evaluated. The correlation between the various parameters provides an important basis for judging the health status of the battery circuit.

[0068] Specifically, the third performance stability index of the battery of the new energy vehicle is determined by:

[0069] A temperature change curve of the battery of the new energy vehicle during the operation monitoring cycle is extracted from the actual operation parameters of the battery of the new energy vehicle, and the temperature value of each sample temperature point is located and obtained from the temperature change curve, and the average temperature value of the battery of the new energy vehicle during the operation monitoring cycle is obtained by average processing; the temperature change curve of the battery of the new energy vehicle during the operation monitoring cycle refers to the data recorded by each temperature sensor installed on the battery of the new energy vehicle collected in real time by the battery management system (BMS), and the data recorded by each temperature sensor at a certain operation monitoring time point is averaged to obtain the average temperature of the temperature sensor at the operation monitoring time point, and the average temperature is marked as the temperature value at the operation monitoring time point, thereby obtaining the temperature value data of each operation monitoring time point in the operation monitoring cycle, and then using MATLAB (matrix laboratory software) to denoise the temperature value of each operation monitoring time point and draw it into a smooth curve, that is, to obtain the temperature change curve. In an exemplary embodiment, the temperature change curve is as follows Figure 3 As shown, the horizontal axis is the operation monitoring time point in minutes, and the vertical axis is the temperature value in degrees Celsius. It clearly shows the temperature change of the battery belonging to the new energy vehicle during the operation monitoring cycle, among which the sample temperature point 1 is a point randomly arranged on the temperature change curve.

[0070] The temperature value of the initial temperature point and the temperature value of the last temperature point are located and obtained from the temperature change curve, and data processing is performed to obtain the temperature growth rate of the battery belonging to the new energy vehicle during the operation monitoring cycle; the above-mentioned temperature growth rate, the specific data processing process is: difference processing and absolute value processing of the temperature value of the last temperature point 3 and the temperature value of the initial temperature point 2, difference processing of the operation monitoring time point of the last temperature point 3 and the operation monitoring time point of the initial temperature point 2, and finally ratio processing of the result of the temperature value difference processing and the result of the operation monitoring time point difference processing, thereby obtaining the temperature growth rate.

[0071] At the same time, the reference average temperature value of the battery belonging to the new energy vehicle in the operation monitoring cycle and the reference temperature growth rate of the battery belonging to the new energy vehicle in the operation monitoring cycle are extracted from the performance reference set of the battery belonging to the new energy vehicle, thereby combining the comprehensive performance evaluation value of the battery belonging to the new energy vehicle to obtain a determination method for the third performance stability index of the battery belonging to the new energy vehicle. In this embodiment, the third performance stability index of the battery belonging to the new energy vehicle is obtained by comprehensively analyzing the comprehensive performance evaluation value of the battery belonging to the new energy vehicle, the average temperature value of the battery belonging to the new energy vehicle in the operation monitoring cycle, the temperature growth rate, the reference average temperature value and the reference temperature growth rate, and is used to determine the value of the stability of the thermal management performance of the battery belonging to the new energy vehicle. The specific determination method is as follows:

[0072]

[0073] TOL is the comprehensive performance evaluation value of the battery belonging to the new energy vehicle, and AM is the average temperature value of the battery belonging to the new energy vehicle during the operation monitoring cycle, which refers to the average temperature of the battery belonging to the new energy vehicle during the operation monitoring cycle.

[0074] AP is the temperature growth rate of the battery belonging to the new energy vehicle during the operation monitoring cycle, which refers to the rate at which the temperature of the battery belonging to the new energy vehicle rises or falls during the operation monitoring cycle.

[0075] ΔAM is the reference average temperature value of the battery belonging to the new energy vehicle during the operation monitoring cycle, which represents the reference value for analyzing the average temperature value of the battery belonging to the new energy vehicle during the operation monitoring cycle.

[0076] ΔAP is the reference temperature growth rate of the battery of the new energy vehicle during the operation monitoring cycle, which represents the reference value for analyzing the temperature growth rate of the battery of the new energy vehicle during the operation monitoring cycle.

[0077] F is the weight factor corresponding to the comprehensive performance evaluation value preset in the automobile database, which indicates the proportion of the comprehensive performance evaluation value to the third performance stability index of the battery of the new energy vehicle.

[0078] Among them, SIP Third It is the third performance stability index of the battery belonging to new energy vehicles. The average temperature value deviates greatly from the reference average temperature value, indicating that the thermal management performance of the battery belonging to new energy vehicles is low, and the battery temperature cannot be effectively managed, which causes the temperature growth rate to deviate from the reference temperature growth rate, resulting in the battery temperature cannot be effectively managed, which makes the battery have potential safety hazards in operation. At the same time, combined with the comprehensive performance evaluation value of the battery belonging to new energy vehicles, the stability of the battery belonging to new energy vehicles in thermal management can be comprehensively evaluated, that is, the third performance stability of the battery belonging to new energy vehicles.

[0079] Specifically, the feedback of the health status of the new energy battery is performed in the following steps: comparing the first performance stability index of the battery belonging to the new energy vehicle with the first performance stability threshold; if the first performance stability index of the battery belonging to the new energy vehicle is less than or equal to the first performance stability threshold, matching the first performance stability index of the battery belonging to the new energy vehicle with the first adjustment set corresponding to each first performance stability index interval stored in the vehicle database, thereby obtaining and executing the first adjustment set of the battery belonging to the new energy vehicle, and updating the first performance stability index of the battery belonging to the new energy vehicle after the execution is completed; the first performance stability threshold represents the minimum value of the reasonable range of the first performance stability index of the battery belonging to the new energy vehicle, which is extracted from the vehicle database; in an example embodiment, assuming that the first performance stability index of the battery belonging to the new energy vehicle is C, which is less than the first performance stability threshold, and the first performance stability index interval [C stored in the vehicle database -3, C+3], the first adjustment set corresponding to the first performance stability index interval [C-3, C+3] includes: adjustment part: adjusting the output power of the motor to 0.8 times of the original output power to reduce the instantaneous high-load discharge of the battery, automatically adjusting the discharge voltage to 0.85 times of the original discharge voltage, and adjusting the speed of the cooling fan to 1350 rpm; parameter set adjustment part: when the average vehicle speed of the battery belonging to the new energy vehicle during the operation monitoring period is 50 kilometers per hour to 55 kilometers per hour, the reference value of the discharge power of the battery belonging to the new energy vehicle during the operation monitoring period is 1900 kWh, and the average battery internal resistance limit value of the battery belonging to the new energy vehicle during the operation monitoring period is 65 milliohms, thereby obtaining the first adjustment set of the battery belonging to the new energy vehicle, and the new energy vehicle can automatically execute the first adjustment set; if the first performance stability index of the battery belonging to the new energy vehicle is greater than the first performance stability threshold, there is no need to match and execute the first adjustment set.

[0080] The second performance stability index of the battery belonging to the new energy vehicle is compared with the second performance stability threshold. If the second performance stability index of the battery belonging to the new energy vehicle is less than or equal to the second performance stability threshold, the second performance stability index of the battery belonging to the new energy vehicle is matched with the second adjustment set corresponding to each second performance stability index interval stored in the vehicle database, thereby obtaining and executing the second adjustment set of the battery belonging to the new energy vehicle, and updating the second performance stability index of the battery belonging to the new energy vehicle after the execution is completed; the above-mentioned second performance stability threshold represents the minimum value of the reasonable range of the second performance stability index of the battery belonging to the new energy vehicle, which is extracted from the vehicle database; in an example embodiment, it is assumed that the second performance stability index of the battery belonging to the new energy vehicle is R, which is less than the second performance stability threshold, and in the second performance stability index interval [R-1, R+1] stored in the vehicle database, the second performance stability index interval [R-1, R+1] The corresponding second adjustment set includes: adjustment part: triggering the diagnostic program of the new energy vehicle, automatically isolating the faulty circuit, adjusting the circuit parameters to the preset limit values ​​(such as adjusting the voltage to the preset limit values), and increasing the circulation rate of the coolant to 1.35 times the original circulation rate of the coolant; parameter set adjustment part: when the average vehicle speed of the battery belonging to the new energy vehicle during the operation monitoring cycle is 50 kilometers per hour to 55 kilometers per hour, the reference average discharge current of the battery belonging to the new energy vehicle during the operation monitoring cycle is 189 amperes, and the reference average discharge voltage of the battery belonging to the new energy vehicle during the operation monitoring cycle is 320 amperes; thereby obtaining the second adjustment set of the battery belonging to the new energy vehicle, the new energy vehicle can automatically execute the second adjustment set, thereby ensuring the safe and stable operation of the battery belonging to the new energy vehicle; if the second performance stability index of the battery belonging to the new energy vehicle is greater than the second performance stability threshold, there is no need to match and execute the second adjustment set.

[0081] The third performance stability index of the battery of the new energy vehicle is compared with the third performance stability threshold. If the third performance stability index of the battery of the new energy vehicle is less than or equal to the third performance stability threshold, the third performance stability index of the battery of the new energy vehicle is matched with the third adjustment set corresponding to each third performance stability index interval stored in the vehicle database, thereby obtaining and executing the third adjustment set of the battery of the new energy vehicle, and updating the third performance stability index of the battery of the new energy vehicle after the execution is completed, thereby completing the feedback of the health status of the new energy battery; the third performance stability threshold represents the minimum value of the reasonable range of the third performance stability index of the battery of the new energy vehicle, which is extracted from the vehicle database; in an example embodiment, assuming that the third performance stability index of the battery of the new energy vehicle is T, the third performance stability index interval [T-0.5, T+0. 5], the third adjustment set corresponding to the third performance stability index interval [T-0.5, T+0.5] includes: adjustment part: increasing the fan speed to 2500 rpm, increasing the circulation rate of the coolant to 1.8 times the original circulation rate of the coolant, parameter set adjustment part: when the average vehicle speed of the battery of the new energy vehicle during the operation monitoring period is 50 kilometers per hour to 55 kilometers per hour, the reference average temperature value of the battery of the new energy vehicle during the operation monitoring period is 32 degrees Celsius, and the reference temperature growth rate of the battery of the new energy vehicle during the operation monitoring period is 0.2 degrees Celsius per minute; thereby, the third adjustment set of the battery of the new energy vehicle is obtained, and the new energy vehicle can automatically execute the third adjustment set, thereby ensuring the safe and stable operation of the battery of the new energy vehicle. If the third performance stability index of the battery of the new energy vehicle is greater than the third performance stability threshold, there is no need to match and execute the third adjustment set.

[0082] It should be noted that the corresponding rules and data of the first adjustment set corresponding to each first performance stability index interval, the second adjustment set corresponding to each second performance stability index interval, and the third adjustment set corresponding to each third performance stability index interval are all formulated by automotive diagnostic engineers. Through experimental tests and the use of big data and artificial intelligence technologies, they have conducted in-depth data analysis and mining on a large number of new energy vehicles and corresponding batteries, and discovered the patterns and trends of battery performance changes, thereby formulating the above corresponding rules and data. Therefore, the data in the adjustment set is relatively comprehensive and scientific. After executing the data in the adjustment set, it can be guaranteed that the first performance stability index of the battery belonging to the new energy vehicle, the second performance stability index of the battery belonging to the new energy vehicle, and the third performance stability index of the battery belonging to the new energy vehicle are greater than the corresponding thresholds, and the safe and stable operation of the battery belonging to the new energy vehicle and the new energy vehicle is guaranteed.

[0083] Specifically, the comprehensive evaluation of the performance stability index of the battery of the new energy vehicle is as follows:

[0084] By integrating the updated first performance stability index of the battery belonging to the new energy vehicle, the updated second performance stability index of the battery belonging to the new energy vehicle and the updated third performance stability index of the battery belonging to the new energy vehicle, an evaluation method for the performance stability index of the battery belonging to the new energy vehicle is obtained.

[0085] The performance stability index of the battery of the new energy vehicle, in this embodiment, is obtained by comprehensive analysis of the updated first performance stability index of the battery of the new energy vehicle, the updated second performance stability index of the battery of the new energy vehicle, and the updated third performance stability index of the battery of the new energy vehicle, and is used to determine the value of the comprehensive performance stability of the battery of the new energy vehicle during the operation monitoring cycle. The specific evaluation method is:

[0086]

[0087] SIP First It is the updated first performance stability index of batteries belonging to new energy vehicles. It is obtained by comprehensive analysis of the comprehensive performance evaluation value of batteries belonging to new energy vehicles, the discharge capacity of batteries belonging to new energy vehicles during the operation monitoring cycle, the average battery internal resistance, the discharge capacity reference value and the average battery internal resistance limit value. It is a numerical value used to determine the overall performance stability of batteries belonging to new energy vehicles.

[0088] SIP Second It is an updated second performance stability index for batteries belonging to new energy vehicles. It is obtained by comprehensively analyzing the comprehensive performance evaluation value of the battery belonging to the new energy vehicle, the average discharge current, average discharge voltage, reference average discharge current and reference average discharge voltage of the battery belonging to the new energy vehicle during the operation monitoring cycle. It is a numerical value used to determine the circuit operation stability of the battery belonging to the new energy vehicle.

[0089] SIP Third It is an updated third performance stability index for batteries belonging to new energy vehicles. It is obtained by comprehensively analyzing the comprehensive performance evaluation value of the battery belonging to new energy vehicles, the average temperature value, temperature growth rate, reference average temperature value and reference temperature growth rate of the battery belonging to new energy vehicles during the operation monitoring period. It is a numerical value used to determine the stability of the thermal management performance of batteries belonging to new energy vehicles.

[0090] e is a natural constant, R1 is a weight factor corresponding to the updated first performance stability index preset in the automobile database, indicating the proportion of the updated first performance stability index to the performance stability index of the battery to which the new energy vehicle belongs. The weight factor corresponding to the updated first performance stability index can be directly obtained from the automobile database when in use, and the corresponding relationship can be a preset mapping relationship. For example, the discharge power, the average battery internal resistance, the discharge power reference value, and the average battery internal resistance boundary value form a mapping set with the weight factor corresponding to the updated first performance stability index preset in the automobile database. The real-time discharge power, the average battery internal resistance, the discharge power reference value, and the average battery internal resistance boundary value are input into the mapping set to obtain the weight factor corresponding to the updated first performance stability index. The mapping relationship can be one-to-one or many-to-one. In this example, its value range is [0, 1].

[0091] R2 is the weight factor corresponding to the updated second performance stability index preset in the automobile database, which represents the proportion of the updated second performance stability index to the performance stability index of the battery to which the new energy vehicle belongs. When in use, the weight factor corresponding to the updated second performance stability index can be directly obtained from the automobile database, and the corresponding relationship can be a preset mapping relationship. For example, the average discharge current, the average discharge voltage, the reference average discharge current and the reference average discharge voltage form a mapping set with the weight factor corresponding to the updated second performance stability index preset in the automobile database. The real-time average discharge current, the average discharge voltage, the reference average discharge current and the reference average discharge voltage are input into the mapping set to obtain the weight factor corresponding to the updated second performance stability index. The mapping relationship can be one-to-one or many-to-one. In this example, its value range is [0, 1].

[0092] R3 is the weight factor corresponding to the updated third performance stability index preset in the automobile database, which represents the proportion of the updated third performance stability index to the performance stability index of the battery to which the new energy vehicle belongs. When in use, the weight factor corresponding to the updated third performance stability index can be directly obtained from the automobile database, and the corresponding relationship can be a pre-set mapping relationship. For example, the average temperature value, the temperature growth rate, the reference average temperature value, and the reference temperature growth rate form a mapping set with the weight factor corresponding to the updated third performance stability index preset in the automobile database. The real-time average temperature value, the temperature growth rate, the reference average temperature value, and the reference temperature growth rate are input into the mapping set to obtain the weight factor corresponding to the updated third performance stability index. The mapping relationship can be one-to-one or many-to-one. In this example, its value range is [0, 1].

[0093] Among them, SIP is the performance stability index of the battery belonging to the new energy vehicle. When the third performance stability index is updated, that is, the thermal management stability is low, this clearly indicates that there are significant defects in the thermal management system of the battery. These defects may cause the battery to overheat or have abnormal temperature during operation, which not only constitutes a potential safety hazard, but may also have a direct negative impact on the stability of the battery circuit. Specifically, the instability of thermal management will cause the battery circuit stability index, that is, the second performance stability index, to decrease. The performance of the electronic components in the circuit may be damaged, further aggravating the instability of the battery circuit. What is more serious is that the reduction in the stability of the battery circuit will in turn affect the stability of the thermal management, forming A vicious cycle. At the same time, the reduction in battery circuit stability will cause a chain reaction on updating the first performance stability index, that is, the stability of the overall battery performance, resulting in a decline in the overall battery performance, which means that the performance of the battery itself is expected to be unable to meet the use requirements and needs to be repaired or replaced. Therefore, a comprehensive analysis of the comprehensive performance stability of new energy vehicle batteries from the three interdependent and mutually influential aspects of battery thermal management stability, circuit stability and overall performance stability can provide a comprehensive and in-depth perspective to accurately evaluate the performance stability of the battery after adjustment, so as to determine whether to update the performance reference set of new energy batteries, so that the continuous monitoring of new energy batteries is based on reliable reference data.

[0094] In this exemplary embodiment, the performance stability index of the battery of the new energy vehicle and its corresponding parameter change table are shown in Table 1:

[0095] Table 1 Performance stability index of batteries for new energy vehicles and changes in their corresponding parameters

[0096]

[0097]

[0098] In this example embodiment, the value of the weight factor corresponding to the weight factor corresponding to the update of the first performance stability index is set to 0.95, the value of the weight factor corresponding to the update of the second performance stability index is set to 0.86, and the value of the weight factor corresponding to the update of the third performance stability index is set to 0.7. It can be seen from Table 1 that when the updating of the first performance stability index is on an increasing trend, the updating of the second performance stability index and the updating of the third performance stability index are all on an increasing trend, specifically, the updating of the first performance stability index increases from 352% to 412%, the updating of the second performance stability index increases from 287% to 330%, and the updating of the third performance stability index increases from 277% to 310%. At the same time, the updating of the first performance stability index, the updating of the second performance stability index and the updating of the third performance stability index are positively correlated with the performance stability index, that is, the performance stability index is also on an increasing trend, increasing from 296% to 308%.

[0099] S3. Compare the performance stability index of the battery belonging to the new energy vehicle with the historical performance stability index. If the performance stability index of the battery belonging to the new energy vehicle is greater than the historical performance stability index, update the performance reference set of the battery belonging to the new energy vehicle.

[0100] The above-mentioned historical performance stability index refers to the maximum value of the performance stability index of the battery belonging to the new energy vehicle during the historical detection process, which is extracted from the automobile database.

[0101] Specifically, the performance reference set of the battery of the new energy vehicle is updated, and the specific updating process is as follows:

[0102] Parameters corresponding to the adjustment parts of the parameter sets in the first adjustment set, the second adjustment set and the third adjustment set of the battery belonging to the new energy vehicle are collected, marked as the updated parameter set of the battery belonging to the new energy vehicle, and the performance reference set of the battery belonging to the new energy vehicle is updated according to the updated parameter set of the battery belonging to the new energy vehicle; in an example embodiment, it is assumed that the first adjustment set, the second adjustment set and the third adjustment set of the battery belonging to the new energy vehicle are all executed, and the parameters corresponding to the adjustment part of the parameter set in the first adjustment set are: when the average vehicle speed of the battery belonging to the new energy vehicle during the operation monitoring cycle is 50 kilometers per hour to 55 kilometers per hour, the discharge power reference value of the battery belonging to the new energy vehicle during the operation monitoring cycle is 1900 kWh, and the average battery internal resistance limit value of the battery belonging to the new energy vehicle during the operation monitoring cycle is 65 milliohms; the parameters corresponding to the adjustment part of the parameter set in the second adjustment set are: when the average vehicle speed of the battery belonging to the new energy vehicle during the operation monitoring cycle is 50 kilometers per hour to 55 kilometers per hour, the new energy vehicle The reference average discharge current of the battery during the operation monitoring cycle is 189 amperes, and the reference average discharge voltage of the battery of the new energy vehicle during the operation monitoring cycle is 320 amperes. The parameters corresponding to the adjustment part of the parameter set in the third adjustment set are: when the average vehicle speed of the battery of the new energy vehicle during the operation monitoring cycle is 50 kilometers per hour to 55 kilometers per hour, the reference average temperature value of the battery of the new energy vehicle during the operation monitoring cycle is 32 degrees Celsius, and the reference temperature growth rate of the battery of the new energy vehicle during the operation monitoring cycle is 0.2 degrees Celsius per minute. Therefore, the parameters corresponding to the average vehicle speed of the battery of the new energy vehicle during the operation monitoring cycle of 50 kilometers per hour to 55 kilometers per hour in the performance reference set corresponding to the comprehensive performance evaluation value of the battery of the new energy vehicle are updated and replaced; if the performance stability index of the battery of the new energy vehicle is less than or equal to the historical performance stability index, the performance reference set of the battery of the new energy vehicle will not be updated, and the performance of the battery of the new energy vehicle will be continuously monitored.

[0103] In a specific embodiment, the present invention compares the performance stability index of the battery belonging to the new energy vehicle with the historical performance stability index, provides a data prerequisite for updating the performance reference set of the new energy battery, improves the accuracy of the health status feedback of the battery belonging to the new energy vehicle, and enables continuous monitoring to be based on accurate reference data, thereby greatly improving the real-time and reliability of the health status monitoring of the battery of the new energy vehicle.

[0104] In a specific embodiment, the present invention provides a new energy battery health status monitoring method and system based on big data analysis, which collects historical performance parameters of batteries belonging to new energy vehicles and analyzes the comprehensive performance evaluation values ​​of batteries belonging to new energy vehicles through big data, thereby matching and obtaining a performance reference set of batteries belonging to new energy vehicles, providing a scientific data basis for continuously monitoring the performance of batteries belonging to new energy vehicles, thereby monitoring the actual operation of new energy vehicles and evaluating the performance stability index of batteries belonging to new energy vehicles, thereby timely updating the performance reference set of batteries belonging to new energy vehicles, thereby continuously and accurately feeding back the health status of new energy batteries, effectively ensuring the safety and stability of batteries belonging to new energy vehicles and even the operation of new energy vehicles, and providing a solid guarantee for the safe driving of new energy vehicles.

[0105] Reference Figure 2 As shown, the second aspect of the present invention provides a system for applying a new energy battery health status monitoring method based on big data analysis, including: a historical performance evaluation module, an actual operation monitoring module and a health status feedback module.

[0106] The second aspect of the present invention provides a system for applying a new energy battery health status monitoring method based on big data analysis, which also includes a car database, which is used to store the influencing factor corresponding to the unit value of the capacity retention rate, the influencing factor corresponding to the unit value of the discharge rate, the influencing factor corresponding to the unit value of the charging rate, the influencing factor corresponding to the unit value of the average battery internal resistance, the performance reference set corresponding to each performance comprehensive evaluation value interval, the weight factor corresponding to the first performance stability index, the weight factor corresponding to the second performance stability index, the weight factor corresponding to the third performance stability index, the weight factor corresponding to the comprehensive performance evaluation value, the first adjustment set corresponding to each first performance stability index interval, the second adjustment set corresponding to each second performance stability index interval, the third adjustment set corresponding to each third performance stability index interval, the first performance stability threshold, the second performance stability threshold, the third performance stability threshold and the historical performance stability index.

[0107] The historical performance evaluation module is connected to the actual operation monitoring module, the actual operation monitoring module is connected to the health status feedback module, and the historical performance evaluation module, the actual operation monitoring module and the health status feedback module are all connected to the automobile database.

[0108] The historical performance evaluation module is used to collect historical performance parameters of batteries belonging to new energy vehicles and to analyze the comprehensive performance evaluation values ​​of batteries belonging to new energy vehicles through big data.

[0109] The actual operation monitoring module is used to match the performance reference set of the battery belonging to the new energy vehicle through the comprehensive performance evaluation value of the battery belonging to the new energy vehicle, and at the same time obtain the actual operation parameters of the battery belonging to the new energy vehicle by monitoring the actual operation of the new energy vehicle, determine the first performance stability index of the battery belonging to the new energy vehicle, the second performance stability index of the battery belonging to the new energy vehicle, and the third performance stability index of the battery belonging to the new energy vehicle, thereby providing feedback on the health status of the new energy battery and comprehensively evaluating the performance stability index of the battery belonging to the new energy vehicle.

[0110] The health status feedback module is used to compare the performance stability index of the battery belonging to the new energy vehicle with the historical performance stability index. If the performance stability index of the battery belonging to the new energy vehicle is greater than the historical performance stability index, the performance reference set of the battery belonging to the new energy vehicle is updated.

[0111] The above contents are merely examples and explanations of the structure of the present invention. The technicians in this technical field may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the structure of the invention or exceed the scope defined by the present invention, they should all fall within the protection scope of the present invention.

Claims

1. A new energy battery health status monitoring method based on big data analysis, characterized in that: include: S1. Collect historical performance parameters of batteries for new energy vehicles, and use big data to analyze the comprehensive performance evaluation values ​​of batteries for new energy vehicles; S2. The performance reference set of the battery belonging to the new energy vehicle is matched through the comprehensive performance evaluation value of the battery belonging to the new energy vehicle. At the same time, the actual operation parameters of the battery belonging to the new energy vehicle are obtained by monitoring the actual operation of the new energy vehicle, and the first performance stability index of the battery belonging to the new energy vehicle, the second performance stability index of the battery belonging to the new energy vehicle, and the third performance stability index of the battery belonging to the new energy vehicle are determined. Thus, the health status of the new energy battery is fed back, and the performance stability index of the battery belonging to the new energy vehicle is comprehensively evaluated; S3. Compare the performance stability index of the battery belonging to the new energy vehicle with the historical performance stability index. If the performance stability index of the battery belonging to the new energy vehicle is greater than the historical performance stability index, update the performance reference set of the battery belonging to the new energy vehicle.

2. The new energy battery health status monitoring method based on big data analysis according to claim 1 is characterized by: The big data analysis of the comprehensive performance evaluation value of the battery of the new energy vehicle is as follows: Extract the maximum battery capacity of the battery belonging to the new energy vehicle in the historical detection period and the battery rated capacity of the battery belonging to the new energy vehicle from the historical performance parameters of the battery belonging to the new energy vehicle, perform ratio processing on the maximum battery capacity and the battery rated capacity, and obtain the capacity retention rate of the battery belonging to the new energy vehicle in the historical detection period; Extracting the average discharge current of the battery belonging to the new energy vehicle in the historical detection period and the average charging current of the battery belonging to the new energy vehicle in the historical detection period from the historical performance parameters of the battery belonging to the new energy vehicle, and performing ratio processing with the battery rated capacity of the battery belonging to the new energy vehicle, respectively, to obtain the discharge rate of the battery belonging to the new energy vehicle in the historical detection period and the charging rate of the battery belonging to the new energy vehicle in the historical detection period; The average battery internal resistance of the battery belonging to the new energy vehicle during the historical inspection period is extracted from the historical performance parameters of the battery belonging to the new energy vehicle, and then the comprehensive performance evaluation value of the battery belonging to the new energy vehicle is analyzed through big data.

3. The new energy battery health status monitoring method based on big data analysis according to claim 2 is characterized in that: The matching obtains the performance reference set of the battery of the new energy vehicle, and the specific matching process is as follows: The comprehensive performance evaluation value of the battery belonging to the new energy vehicle is matched with the performance reference set corresponding to each comprehensive performance evaluation value interval stored in the vehicle database, thereby obtaining the performance reference set of the battery belonging to the new energy vehicle.

4. The new energy battery health status monitoring method based on big data analysis according to claim 1 is characterized in that: The first performance stability index of the battery of the new energy vehicle is specifically determined as follows: Extracting the discharge power of the battery belonging to the new energy vehicle during the operation monitoring cycle and the average battery internal resistance of the battery belonging to the new energy vehicle during the operation monitoring cycle from the actual operation parameters of the battery belonging to the new energy vehicle; At the same time, the discharge power reference value of the battery belonging to the new energy vehicle during the operation monitoring cycle and the average battery internal resistance limit value of the battery belonging to the new energy vehicle during the operation monitoring cycle are extracted from the performance reference set of the battery belonging to the new energy vehicle. Based on this, the comprehensive performance evaluation value of the battery belonging to the new energy vehicle is combined to obtain a method for determining the first performance stability index of the battery belonging to the new energy vehicle.

5. The new energy battery health status monitoring method based on big data analysis according to claim 1 is characterized in that: The specific determination process of the second performance stability index of the battery of the new energy vehicle is as follows: Extracting the average discharge current of the battery belonging to the new energy vehicle during the operation monitoring cycle and the average discharge voltage of the battery belonging to the new energy vehicle during the operation monitoring cycle from the actual operation parameters of the battery belonging to the new energy vehicle; At the same time, the reference average discharge current of the battery belonging to the new energy vehicle during the operation monitoring cycle and the reference average discharge voltage of the battery belonging to the new energy vehicle during the operation monitoring cycle are extracted from the performance reference set of the battery belonging to the new energy vehicle. Based on this, the comprehensive performance evaluation value of the battery belonging to the new energy vehicle is combined to obtain a method for determining the second performance stability index of the battery belonging to the new energy vehicle.

6. The new energy battery health status monitoring method based on big data analysis according to claim 1 is characterized by: The specific determination process of the third performance stability index of the battery of the new energy vehicle is as follows: Extracting the temperature change curve of the battery of the new energy vehicle during the operation monitoring cycle from the actual operation parameters of the battery of the new energy vehicle, locating and obtaining the temperature value of each sample temperature point on the temperature change curve, and performing mean processing to obtain the average temperature value of the battery of the new energy vehicle during the operation monitoring cycle; Locate and obtain the temperature value of the initial temperature point and the temperature value of the final temperature point on the temperature change curve, and perform data processing to obtain the temperature growth rate of the battery of the new energy vehicle during the operation monitoring cycle; At the same time, the reference average temperature value of the battery belonging to the new energy vehicle during the operation monitoring cycle and the reference temperature growth rate of the battery belonging to the new energy vehicle during the operation monitoring cycle are extracted from the performance reference set of the battery belonging to the new energy vehicle. Based on this, the comprehensive performance evaluation value of the battery belonging to the new energy vehicle is combined to obtain a method for determining the third performance stability index of the battery belonging to the new energy vehicle.

7. The new energy battery health status monitoring method based on big data analysis according to claim 1 is characterized by: The specific feedback process of the health status of the new energy battery is as follows: Compare the first performance stability index of the battery belonging to the new energy vehicle with the first performance stability threshold value. If the first performance stability index of the battery belonging to the new energy vehicle is less than or equal to the first performance stability threshold value, match the first performance stability index of the battery belonging to the new energy vehicle with the first adjustment set corresponding to each first performance stability index interval stored in the vehicle database, thereby obtaining and executing the first adjustment set of the battery belonging to the new energy vehicle. After the execution is completed, the first performance stability index of the battery belonging to the new energy vehicle is updated and marked as the updated first performance stability index of the battery belonging to the new energy vehicle; Compare the second performance stability index of the battery belonging to the new energy vehicle with the second performance stability threshold value. If the second performance stability index of the battery belonging to the new energy vehicle is less than or equal to the second performance stability threshold value, match the second performance stability index of the battery belonging to the new energy vehicle with the second adjustment set corresponding to each second performance stability index interval stored in the vehicle database, thereby obtaining and executing the second adjustment set of the battery belonging to the new energy vehicle. After the execution is completed, the second performance stability index of the battery belonging to the new energy vehicle is updated and marked as the updated second performance stability index of the battery belonging to the new energy vehicle; The third performance stability index of the battery belonging to the new energy vehicle is compared with the third performance stability threshold. If the third performance stability index of the battery belonging to the new energy vehicle is less than or equal to the third performance stability threshold, the third performance stability index of the battery belonging to the new energy vehicle is matched with the third adjustment set corresponding to each third performance stability index interval stored in the vehicle database, thereby obtaining and executing the third adjustment set of the battery belonging to the new energy vehicle. After the execution is completed, the third performance stability index of the battery belonging to the new energy vehicle is updated and marked as the updated third performance stability index of the battery belonging to the new energy vehicle, thereby completing the feedback on the health status of the new energy battery.

8. The new energy battery health status monitoring method based on big data analysis according to claim 1 is characterized by: The comprehensive evaluation of the performance stability index of the battery of the new energy vehicle is as follows: The evaluation method of the performance stability index of the battery of new energy vehicles is obtained by combining the updated first performance stability index of the battery of new energy vehicles, the updated second performance stability index of the battery of new energy vehicles, and the updated third performance stability index of the battery of new energy vehicles. The specific evaluation method is: Among them, SIP is the performance stability index of the battery of new energy vehicles. First The first performance stability index for batteries in new energy vehicles, SIP Second The updated second performance stability index, SIP, for batteries in new energy vehicles Third is the updated third performance stability index of the battery belonging to the new energy vehicle, e is a natural constant, R1 is the weight factor corresponding to the updated first performance stability index preset in the automobile database, R2 is the weight factor corresponding to the updated second performance stability index preset in the automobile database, and R3 is the weight factor corresponding to the updated third performance stability index preset in the automobile database.

9. The new energy battery health status monitoring method based on big data analysis according to claim 1 is characterized by: The performance reference set of the battery of the new energy vehicle is updated, and the specific updating process is as follows: Parameters corresponding to the adjustment parts of the parameter sets in the first adjustment set, the second adjustment set and the third adjustment set of the battery belonging to the new energy vehicle are collected, marked as the updated parameter set of the battery belonging to the new energy vehicle, and the performance reference set of the battery belonging to the new energy vehicle is updated according to the updated parameter set of the battery belonging to the new energy vehicle.

10. A system using the new energy battery health status monitoring method based on big data analysis as described in any one of claims 1 to 9, characterized in that: include: The historical performance evaluation module is used to collect historical performance parameters of batteries for new energy vehicles and analyze the comprehensive performance evaluation values ​​of batteries for new energy vehicles using big data; The actual operation monitoring module is used to match the performance reference set of the battery belonging to the new energy vehicle through the comprehensive performance evaluation value of the battery belonging to the new energy vehicle, and at the same time, by monitoring the actual operation of the new energy vehicle, obtain the actual operation parameters of the battery belonging to the new energy vehicle, determine the first performance stability index of the battery belonging to the new energy vehicle, the second performance stability index of the battery belonging to the new energy vehicle, and the third performance stability index of the battery belonging to the new energy vehicle, thereby providing feedback on the health status of the new energy battery and comprehensively evaluating the performance stability index of the battery belonging to the new energy vehicle; The health status feedback module is used to compare the performance stability index of the battery belonging to the new energy vehicle with the historical performance stability index. If the performance stability index of the battery belonging to the new energy vehicle is greater than the historical performance stability index, the performance reference set of the battery belonging to the new energy vehicle is updated.

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