Battery safety monitoring method and system based on dynamic compensation

Abstract

The present invention provides a battery safety monitoring method and system based on dynamic compensation, which relates to the field of data monitoring technology. The method comprises: dynamically monitoring and sensing a target battery through a nondestructive testing module and a multi-intelligent sensor embedded in the target battery to obtain a target dynamic characteristic parameter, generating a battery safety compensation constraint with a second state characteristic parameter in the target dynamic characteristic parameter, dynamically compensating a first target dynamic safety index obtained by weighting a target battery safety state characteristic parameter in the target dynamic characteristic parameter to obtain a compensated second target dynamic safety index, and weighting the target factory safety index and the second target dynamic safety index to obtain a target safety monitoring result of the target battery. The present invention solves the technical problem in the prior art that the battery safety monitoring result is inaccurate, resulting in low battery safety, and realizes rational monitoring of battery safety based on dynamic compensation, thereby improving battery safety.

Description

Technical Field

[0001] The present invention relates to the technical field of data monitoring, and in particular to a battery safety monitoring method and system based on dynamic compensation. Background Art

[0002] With the development of the battery monitoring field, battery safety issues are becoming more and more important, and battery monitoring has gradually become the focus of attention. To solve the problems in battery use, it is necessary to manage from a system perspective, which will be more helpful for the use of batteries and the safety of power supply. Traditional battery management systems usually use cables to connect, and viewing battery data usually requires connecting the instrument to the battery. Therefore, there are problems such as line aging and inconvenient information acquisition. In addition, the results of battery safety monitoring in the existing technology are inaccurate, resulting in technical problems such as low battery safety. Rational monitoring of battery safety based on dynamic compensation is realized to improve battery safety. Summary of the invention

[0003] The present application provides a battery safety monitoring method and system based on dynamic compensation, which is used to solve the technical problem in the prior art that the battery safety monitoring results are inaccurate, resulting in low battery safety.

[0004] In view of the above problems, the present application provides a battery safety monitoring method and system based on dynamic compensation.

[0005] In a first aspect, the present application provides a battery safety monitoring method based on dynamic compensation, the method comprising: obtaining a target factory safety index by analyzing target factory characteristic parameters obtained by performing production factory inspection on a target battery at the production end based on a preset factory inspection scheme; obtaining target dynamic characteristic parameters of the target battery, the target dynamic characteristic parameters being obtained by dynamically monitoring and sensing the target battery through a nondestructive testing module and a multi-intelligent sensor embedded in the target battery; obtaining a first target dynamic safety index by weighting target battery safety state characteristic parameters in the target dynamic characteristic parameters; dynamically compensating the first target dynamic safety index by generating a battery safety compensation constraint using a second state characteristic parameter in the target dynamic characteristic parameter to obtain a compensated second target dynamic safety index, the second state characteristic parameter being a parameter after removing the target battery safety state characteristic parameter from the target dynamic characteristic parameter; weighting the target factory safety index and the second target dynamic safety index to obtain a target safety monitoring result of the target battery.

[0006] In a second aspect, the present application provides a battery safety monitoring system based on dynamic compensation, the system comprising: a production factory inspection module, the production factory inspection module is used to obtain a target factory safety index by analyzing the target factory characteristic parameters obtained by performing production factory inspection on the target battery at the production end based on a preset factory inspection scheme; a dynamic monitoring perception module, the dynamic monitoring perception module is used to obtain the target dynamic characteristic parameters of the target battery, the target dynamic characteristic parameters are obtained by dynamically monitoring and sensing the target battery through a non-destructive testing module and a multi-intelligent sensor embedded in the target battery; an index acquisition module, the index acquisition module is used to obtain a first target dynamic safety index by weighting the target battery safety state characteristic parameters in the target dynamic characteristic parameters; a dynamic compensation module, the dynamic compensation module is used to generate a battery safety compensation constraint with a second state characteristic parameter in the target dynamic characteristic parameter to dynamically compensate the first target dynamic safety index to obtain a compensated second target dynamic safety index, the second state characteristic parameter refers to a parameter after the target battery safety state characteristic parameter is removed from the target dynamic characteristic parameter; a safety monitoring module, the safety monitoring module is used to weight the target factory safety index and the second target dynamic safety index to obtain a target safety monitoring result of the target battery.

[0007] One or more technical solutions provided in this application have at least the following technical effects or advantages:

[0008] The battery safety monitoring method and system based on dynamic compensation provided in the present application relate to the field of data monitoring technology, solve the technical problem in the prior art that the battery safety monitoring results are inaccurate, resulting in low battery safety, and realize rational monitoring of battery safety based on dynamic compensation, thereby improving battery safety. BRIEF DESCRIPTION OF THE DRAWINGS

[0009] Figure 1 A flow chart of a battery safety monitoring method based on dynamic compensation is provided for this application;

[0010] Figure 2 A flow chart of a nondestructive testing module and multiple intelligent sensors in a battery safety monitoring method based on dynamic compensation is provided for this application;

[0011] Figure 3 A schematic diagram of a process for correcting a target safety monitoring result in a battery safety monitoring method based on dynamic compensation is provided for this application;

[0012] Figure 4 A structural schematic diagram of a battery safety monitoring system based on dynamic compensation is provided for this application.

[0013] Explanation of the accompanying drawings: production and delivery inspection module 1, dynamic monitoring and perception module 2, index acquisition module 3, dynamic compensation module 4, safety monitoring module 5. DETAILED DESCRIPTION

[0014] The present application provides a battery safety monitoring method and system based on dynamic compensation, so as to solve the technical problem in the prior art that the battery safety monitoring results are inaccurate, resulting in low battery safety.

[0015] Embodiment 1

[0016] like Figure 1 As shown, an embodiment of the present application provides a battery safety monitoring method based on dynamic compensation, the method comprising:

[0017] Step A100: Analyzing target factory characteristic parameters obtained by performing factory inspection on the target battery at the production end based on a preset factory inspection scheme to obtain a target factory safety index;

[0018] In the present application, the battery safety monitoring method based on dynamic compensation provided in the embodiment of the present application is applied to a battery safety monitoring system based on dynamic compensation. In order to ensure the safety of the target battery in use, it is necessary to detect the initial safety of the battery when it leaves the factory. Therefore, it is first necessary to analyze the battery safety performance of the target battery at the production end according to the preset factory monitoring scheme in the battery production plant. The production end can be a battery production monomer, a battery production module, etc., and the target battery is subjected to factory inspection based on the preset factory monitoring scheme, which means that the battery capacity, internal resistance and self-discharge rate of the target battery are inspected at the factory, so as to inspect the target battery according to the detection data. The defects are analyzed to determine the target factory characteristic parameters. Furthermore, the factory safety index of the target battery is obtained according to the stability of the battery defect parameters in the target factory characteristic parameters of the target battery. The stability of the battery defect parameters refers to whether the value of the defect parameter detected by the target battery before leaving the factory is less than the battery danger threshold. If it is less, the target battery is regarded as a safe battery that meets the factory standards. Therefore, the difference between the battery defect parameter and the battery danger threshold is used as the target factory safety index. The larger the difference, the higher the target factory safety index. This serves as an important reference for the later implementation of safety monitoring of the target battery based on dynamic compensation.

[0019] Step A200: Acquire target dynamic characteristic parameters of the target battery, wherein the target dynamic characteristic parameters are obtained by dynamically monitoring and sensing the target battery through a nondestructive testing module and a multi-intelligent sensor embedded in the target battery;

[0020] Furthermore, if Figure 2 As shown, step A200 of the present application also includes:

[0021] Step A210: obtaining target voltage information of the target battery through the voltage sensor, obtaining target current information of the target battery through the current sensor, obtaining target real-time capacity of the target battery through the capacity sensor, and obtaining target charge and discharge information of the target battery through the charge and discharge detector;

[0022] Step A220: The target voltage information, the target current information, the target real-time capacity, the target charge and discharge information and the target battery safety state characteristic parameters together constitute the target dynamic characteristic parameters.

[0023] In the present application, in order to improve the efficiency of monitoring battery safety, it is necessary to obtain the target dynamic characteristic parameters of the target battery, and the target dynamic characteristic parameters are obtained by dynamically monitoring and sensing the target battery through a nondestructive testing module and a multi-intelligent sensor embedded in the target battery. The nondestructive testing module is communicated with a battery safety monitoring system based on dynamic compensation. The nondestructive testing module is used to collect the dynamic parameters of the target battery, and the nondestructive testing module includes a voltage sensor, a current sensor, a capacity sensor and a charge and discharge detector. Further, the voltage sensor uses the piezoelectric effect of the material to sense and detect the voltage of the target battery during use, and obtain the target voltage information of the target battery. Since the current will generate a magnetic field, the magnetic field of the battery current of the target battery during use is measured by the current sensor, and the target current information of the target battery is obtained after sensing and detecting. The density of the electrolyte of the target battery is detected by the capacity sensor to determine the target real-time capacity of the target battery. The target electrode of the target battery is charged and discharged under constant current conditions by the charge and discharge detector, and the change law of its potential over time is recorded, so as to study the charge and discharge performance of the electrode of the target battery, calculate the actual specific capacity of the target battery, and thereby determine the target charge and discharge information of the target battery.

[0024] Furthermore, the safety status of the target battery is intelligently sensed and evaluated through multiple intelligent sensors embedded in the target battery. Finally, the characteristic parameters of the target battery safety status and the target voltage information, target current information, target real-time capacity, and target charge and discharge information detected by the non-destructive testing module are determined based on the sensing evaluation results to perceive the battery safety information. The perceived numbers are fitted with statistical algorithms to form target dynamic characteristic parameters, thereby ensuring the safety monitoring of the target battery based on dynamic compensation.

[0025] Step A300: Obtaining a first target dynamic safety index by weighting the target battery safety state characteristic parameters in the target dynamic characteristic parameters;

[0026] Furthermore, if Figure 2As shown, step A200 of the present application also includes:

[0027] Step A310: dynamically monitoring the target temperature parameter of the target battery through the fiber Bragg grating sensor, dynamically monitoring the target pressure parameter of the target battery through the thin film pressure sensor, dynamically monitoring the target gas parameter of the target battery through the gas detection sensor, and dynamically monitoring the target potential parameter of the target battery through the implantable potential sensor;

[0028] Step A320: The target temperature parameter, the target pressure parameter, the target gas parameter and the target potential parameter together constitute the target battery safety state characteristic parameter.

[0029] In the present application, the target dynamic characteristic parameters of the target battery obtained as above are taken as the basis, and the target dynamic characteristic parameters are weighted according to the degree of influence on the safety of the target battery, which means that the higher the degree of influence on the safety of the target battery, the higher the corresponding weight. On this basis, the target battery is dynamically monitored by a multi-intelligent sensor embedded in the target battery to obtain the target battery safety status characteristic parameters. The multi-intelligent sensor is communicatively connected with the target battery, and the multi-intelligent sensor is used to collect the safety status characteristic parameters of the target battery. The multi-intelligent sensor includes a fiber Bragg grating sensor, a thin film pressure sensor, a gas detection sensor, and an implantable potential sensor. Furthermore, the target temperature parameter of the target battery is obtained by dynamic monitoring by the fiber Bragg grating sensor.

[0030] The temperature of the target battery is detected by a thin film pressure sensor to dynamically measure the resistance change on the thermal resistor in the target battery to obtain the target pressure parameter of the target battery. The catalyst coated on the electrode surface of the target battery, i.e., platinum or gold, is dynamically measured by a gas detection sensor. When the analysis gas penetrates into the electrolyte through the thin film, an oxidation or reduction reaction occurs on the catalyst surface to release electrons. The current generated between the electrode of the measured target battery and the counting electrode is proportional to the concentration, thereby obtaining the gas concentration value of the target battery, and determining the target gas parameter of the target battery according to the gas concentration value obtained by dynamic monitoring. The electromotive force of the target battery is dynamically measured by an implantable potential sensor to obtain its relative value, and the target potential parameter of the target battery is determined according to the relative value of the electromotive force. Finally, the target temperature parameter, target pressure parameter, target gas parameter, and target potential parameter detected by dynamic sensing by multiple intelligent sensors are dynamically serialized in descending order according to the weighted target dynamic characteristic parameters according to the weights. According to the dynamic serialization processing, the target battery safety state characteristic parameter that is in the first order in the target battery safety state characteristic parameter in real time is output as the first target dynamic safety index, which lays a solid foundation for the subsequent realization of safety monitoring of the target battery based on dynamic compensation.

[0031] Step A400: generating a battery safety compensation constraint by using a second state characteristic parameter in the target dynamic characteristic parameter to dynamically compensate the first target dynamic safety index to obtain a compensated second target dynamic safety index, wherein the second state characteristic parameter refers to a parameter obtained by removing the target battery safety state characteristic parameter from the target dynamic characteristic parameter;

[0032] Furthermore, step A400 of the present application also includes:

[0033] Step A410: Obtaining the target initial capacity of the target battery from the target factory characteristic parameters;

[0034] Step A420: Introduce a preset battery safety cycle life assessment scheme to analyze the target initial capacity, the target real-time capacity, and the target number of charge and discharge cycles in the target charge and discharge information to obtain a target health index. The preset battery safety cycle life assessment scheme is expressed as follows:

[0035]

[0036] Among them, λ soh refers to the target health index, Q on , Q in They refer to the target real-time capacity and the target initial capacity respectively, and N soh Refers to the remaining safe charge and discharge cycle number of the target battery, N e refers to the preset charge and discharge failure threshold of the target battery, n refers to the target number of charge and discharge cycles, α and β are the first weight coefficient and the second weight coefficient respectively, and α+β=1;

[0037] Step A430: Add the target health index to the battery safety compensation constraint.

[0038] Furthermore, step A430 of the present application includes:

[0039] Step A431: performing weighted calculation on the overvoltage frequency and overvoltage amplitude of the target battery obtained by analyzing the target voltage information to obtain a first target index;

[0040] Step A432: performing weighted calculation on the overcurrent frequency and overcurrent amplitude of the target battery obtained by analyzing the target current information to obtain a second target index;

[0041] Step A433: performing weighted calculation on the over-discharge frequency and over-discharge amplitude of the target battery obtained by analyzing the target charge and discharge information to obtain a third target index;

[0042] Step A434: Add the first target index, the second target index, and the third target index to the battery safety compensation constraint.

[0043] In the present application, in order to improve the accuracy of the safety detection of the target battery, it is necessary to extract the second state characteristic parameter from the target dynamic safety index. The second state characteristic parameter refers to the parameter after the target battery safety state characteristic parameter is removed from the target dynamic characteristic parameter. At the same time, in order to dynamically compensate the first target dynamic safety index, the battery safety compensation constraint is first generated by the second state characteristic parameter, which means extracting the target initial capacity of the target battery from the target factory characteristic parameter. Further, a preset battery safety cycle life evaluation scheme is introduced to analyze the target initial capacity, target real-time capacity and target charge and discharge cycle number of the target battery at the time of leaving the factory, and obtain the target health index. The preset battery safety cycle life evaluation scheme is expressed as follows:

[0044]

[0045] Among them, λ soh refers to the target health index, Q on , Q in They refer to the target real-time capacity and the target initial capacity respectively, and N soh Refers to the remaining safe charge and discharge cycle number of the target battery, N e refers to the preset charge and discharge failure threshold of the target battery, n refers to the target number of charge and discharge cycles, α and β are the first weight coefficient and the second weight coefficient respectively, and α+β=1;

[0046] It means that first, according to the real-time capacity of the target battery and the target number of charge and discharge cycles in the target charge and discharge information, the real-time capacity of the target battery and the target number of charge and discharge cycles in the target charge and discharge information are weighted respectively, and the higher the degree of influence, the greater the weight coefficient is, and further, according to the assigned weight coefficient, the ratio of the target real-time capacity and the target initial capacity, the remaining number of charge and discharge safety cycles of the target battery, and the ratio of the preset charge and discharge failure threshold of the target battery are multiplied to obtain the target health index of the target battery, so as to judge the safety of the target battery according to the numerical value of the target health index of the target battery, and at the same time, the obtained target health index is used as reference data within the battery safety compensation constraint.

[0047] Furthermore, in order to ensure the accuracy of the battery safety compensation constraint, it is necessary to perform corresponding weighting on the voltage, current, and charge and discharge in the target battery, which means first performing a voltage numerical analysis on the target voltage information to obtain the overvoltage frequency and overvoltage amplitude of the target battery. The overvoltage frequency refers to the number of times the voltage exceeds the maximum limit voltage allowed by the target battery power supply per unit time, and the overvoltage amplitude refers to the voltage exceeding the maximum limit voltage allowed by the target battery power supply per unit time. The overvoltage frequency and overvoltage amplitude of the target battery are further weighted. The weighted calculation needs to be based on a large amount of data aggregation and accurate determination of the weights before performing targeted calculations. For example, the weight ratio of the overvoltage frequency and overvoltage amplitude of the target battery can be the first influence coefficient: the second influence coefficient is 4:6, then the influence parameters after the weighted calculation process are the first influence parameter*0.4, the second influence parameter*0.6, and the first target index is obtained according to the weighted calculation result, and then the overcurrent frequency and overcurrent amplitude of the target battery are obtained by performing a current numerical analysis on the target current information. The overcurrent frequency refers to the number of conversions of the alternating current per unit time. The overcurrent amplitude refers to the current value of each alternating current conversion per unit time. According to the above logic, the overcurrent frequency and the overcurrent amplitude are weightedly calculated to obtain the second target index. Finally, the target charge and discharge information is charged and discharged to obtain the over-discharge frequency and over-discharge amplitude of the target battery. The over-discharge frequency refers to the number of times the target battery exceeds the maximum limit speed during the charging and discharging process per unit time. The over-discharge amplitude refers to the value of the change speed of the target battery exceeding the maximum limit speed during the charging and discharging process. According to the above logic, the over-discharge frequency and the over-discharge amplitude are weightedly calculated to obtain the third target index. Finally, the first target index, the second target index and the third target index are added to the battery safety compensation constraint with the target health index to improve the compensation constraint. According to the battery safety compensation constraint, the target battery health state, the dynamic voltage data, the dynamic current data, and the dynamic charge and discharge data of the target battery in the first target dynamic safety index are compensated, and the compensated data is output as the second target dynamic safety index, so as to realize the safety monitoring of the target battery based on dynamic compensation with the role of constraint limitation.

[0048] Step A500: weighting the target factory safety index and the second target dynamic safety index to obtain a target safety monitoring result of the target battery.

[0049] In the present application, in order to better monitor the safety of the target battery more accurately, the influence coefficient of the target battery safety is first weighted according to the target factory safety index and the second target dynamic safety index. The influence coefficient of the target factory safety index and the second target dynamic safety index on the target battery safety is directly proportional to the weight distribution, that is, the higher the influence coefficient, the higher the corresponding weight ratio. Therefore, based on the weight ratio, the battery capacity internal resistance and self-discharge rate of the target battery in the target factory safety index and the target battery health status in the second target dynamic safety index, the dynamic voltage data, dynamic current data, and dynamic charge and discharge data of the target battery are respectively used to perform multi-data angle monitoring of the target battery in real time. The multi-angle monitoring results of the target battery are integrated and summarized as the target safety monitoring results of the target battery to monitor the safety of the target battery more comprehensively, so as to serve as reference data for the later safety monitoring of the target battery based on dynamic compensation.

[0050] Furthermore, if Figure 3 As shown, step A600 of the present application also includes:

[0051] Step A610: Analyze and obtain a target application safety index based on target application characteristic parameters obtained by dynamically monitoring the actual application carrier of the target battery;

[0052] Step A620: wherein the target application characteristic parameters include carrier operating condition data and carrier maintenance data, and the carrier operating condition data is data obtained by the application monitoring module from monitoring the actual application carrier under different operating conditions;

[0053] Step A630: Correct the target security monitoring result based on the target application security index.

[0054] Furthermore, step A610 of the present application includes:

[0055] Step A611: obtaining the speed sequence of the actual application carrier operating under different working conditions through the speed sensor in the application monitoring module;

[0056] Step A612: extracting the fastest speed in the speed sequence, analyzing the speed sequence and calculating an average acceleration, wherein both the fastest speed and the average acceleration are used to evaluate the power performance of the target battery on the actual application carrier;

[0057] Step A613: obtaining the vibration time sequence of the actual application carrier operating under different working conditions through the vibration sensor in the application monitoring module;

[0058] Step A614: extracting the maximum vibration in the vibration time series, analyzing the vibration time series and calculating the average vibration amplitude, wherein the maximum vibration and the average vibration amplitude are both used to evaluate the dynamic stability of the target battery on the actual application carrier;

[0059] Step A615: taking the maximum speed, the average acceleration, the maximum vibration and the average vibration amplitude as the target application characteristic parameters.

[0060] In the present application, in order to make the target safety monitoring result of the target battery accurate, it is necessary to judge the target safety monitoring result. If the target safety monitoring result does not match the actual state of the target battery, it is necessary to correct the target safety monitoring result. First, the target application characteristic parameters obtained by dynamic application monitoring of the actual application carrier of the target battery refer to speed sensing performed by the speed sensor in the application monitoring module, wherein the application monitoring module is connected to the system communication, and the speed sensor in the application monitoring module is used to perform speed sensing and acquisition of the speed timing of the actual application carrier operating under different working conditions, and the acquired speed timing is serialized in descending order, and the speed timing of the first sequence in the speed timing is extracted as the final speed timing. Fast speed, and at the same time analyze the speed sequence and calculate the average acceleration, which means that the difference between the terminal speed and the initial speed is divided by the time used as the average acceleration. The power performance of the target battery on the actual application carrier is evaluated based on the fastest speed and the average acceleration, which means that the acceleration capability of the actual application carrier is represented by the fastest speed and the average acceleration. The higher the acceleration capability, the higher the power performance. Furthermore, vibration sensing is performed through the vibration sensor in the application monitoring module, wherein the application monitoring module is connected to the system communication, and the vibration sensor in the application monitoring module is used to perform vibration sensing and acquisition of the vibration sequence of the actual application carrier operating under different working conditions, and the acquired vibration sequence is serialized in descending order. Processing, extracting the first-order vibration sequence in the vibration sequence as the maximum vibration, analyzing the vibration sequence and calculating the average vibration amplitude, which means adding all the amplitudes in the vibration sequence and dividing by the number of vibrations as the average vibration amplitude, based on the maximum vibration and average vibration amplitude, both are used to evaluate the power stability of the target battery on the actual application carrier, which means judging whether the actual application carrier can return to the original state after a period of time by the maximum vibration and average vibration amplitude to determine the power stability, if it can return to the original state, the power stability is good, and finally the fastest speed, average acceleration, maximum vibration and average vibration amplitude are used as target application characteristic parameters to determine the target application safety index according to the safety threshold. Its safety threshold can be defined according to the battery charging demand data and battery maintenance data when the target battery is used, wherein the target application characteristic parameters include carrier operating condition data and carrier maintenance data, and the carrier operating condition data is data obtained by the application monitoring module from monitoring the actual application carrier under different operating conditions. For example, the carrier operating condition data can be based on the fastest speed, the slowest speed, the equipment operation condition per unit acceleration, the target battery capacity test condition, the target battery internal resistance test condition, the target battery cycle life test condition, the target battery temperature test condition, etc., thereby reflecting the energy supply and power condition of the target battery, and the carrier maintenance data can be the target battery operation and maintenance data, the target battery fault repair data, etc.On this basis, the target application safety index is used to correct the power performance and power stability of the battery carrier in the target safety monitoring results, thereby improving the accuracy of safety monitoring of the target battery based on dynamic compensation in the later stage.

[0061] In summary, the battery safety monitoring method based on dynamic compensation provided in the embodiment of the present application includes at least the following technical effects, which realizes rational monitoring of battery safety based on dynamic compensation and improves battery safety.

[0062] Embodiment 2

[0063] Based on the same inventive concept as the battery safety monitoring method based on dynamic compensation in the aforementioned embodiment, Figure 4 As shown, the present application provides a battery safety monitoring system based on dynamic compensation, the system comprising:

[0064] A production factory inspection module 1, the production factory inspection module 1 is used to obtain a target factory safety index by analyzing target factory characteristic parameters obtained by performing production factory inspection on the target battery at the production end based on a preset factory inspection scheme;

[0065] A dynamic monitoring and sensing module 2, which is used to obtain target dynamic characteristic parameters of the target battery, wherein the target dynamic characteristic parameters are obtained by dynamically monitoring and sensing the target battery through a nondestructive testing module and a multi-intelligent sensor embedded in the target battery;

[0066] An index acquisition module 3, the index acquisition module 3 is used to obtain a first target dynamic safety index by weighting a target battery safety state characteristic parameter in the target dynamic characteristic parameter;

[0067] A dynamic compensation module 4, the dynamic compensation module 4 is used to generate a battery safety compensation constraint by using a second state characteristic parameter in the target dynamic characteristic parameter to dynamically compensate the first target dynamic safety index to obtain a compensated second target dynamic safety index, wherein the second state characteristic parameter refers to a parameter after the target battery safety state characteristic parameter is removed from the target dynamic characteristic parameter;

[0068] The safety monitoring module 5 is used to weight the target factory safety index and the second target dynamic safety index to obtain the target safety monitoring result of the target battery.

[0069] Furthermore, the system also includes:

[0070] A dynamic application monitoring module, the dynamic application monitoring module is used to analyze and obtain a target application safety index based on target application characteristic parameters obtained by dynamically monitoring an actual application carrier of the target battery;

[0071] A monitoring module, wherein the target application characteristic parameters include carrier operating condition data and carrier maintenance data, and the carrier operating condition data is data obtained by the application monitoring module from monitoring the actual application carrier under different operating conditions;

[0072] A correction module is used to correct the target security monitoring result based on the target application security index.

[0073] Furthermore, the system also includes:

[0074] A first timing acquisition module, the first timing acquisition module is used to obtain the speed timing of the actual application carrier operating under different working conditions through the speed sensor in the application monitoring module;

[0075] A first calculation module, the first calculation module is used to extract the fastest speed in the speed sequence, analyze the speed sequence and calculate an average acceleration, the fastest speed and the average acceleration are both used to evaluate the power performance of the target battery on the actual application carrier;

[0076] A second timing acquisition module, the second timing acquisition module is used to obtain the vibration timing of the actual application carrier operating under different working conditions through the vibration sensor in the application monitoring module;

[0077] An evaluation module, the evaluation module is used to extract the maximum vibration in the vibration time series, analyze the vibration time series and calculate the average vibration amplitude, the maximum vibration and the average vibration amplitude are both used to evaluate the dynamic stability of the target battery on the actual application carrier;

[0078] A first parameter acquisition module is used to use the maximum speed, the average acceleration, the maximum vibration and the average vibration amplitude as the target application characteristic parameters.

[0079] Furthermore, the system also includes:

[0080] A second parameter acquisition module, the second parameter acquisition module is used to dynamically monitor the target temperature parameter of the target battery through the fiber Bragg grating sensor, dynamically monitor the target pressure parameter of the target battery through the thin film pressure sensor, dynamically monitor the target gas parameter of the target battery through the gas detection sensor, and dynamically monitor the target potential parameter of the target battery through the implantable potential sensor;

[0081] A third parameter acquisition module, wherein the third parameter acquisition module is used for the target temperature parameter, the target pressure parameter, the target gas parameter and the target potential parameter to together form the target battery safety state characteristic parameter.

[0082] Furthermore, the system also includes:

[0083] A detection module, the detection module is used to obtain the target voltage information of the target battery through the voltage sensor, obtain the target current information of the target battery through the current sensor, obtain the target real-time capacity of the target battery through the capacity sensor, and obtain the target charge and discharge information of the target battery through the charge and discharge detector;

[0084] A fourth parameter acquisition module, wherein the fourth parameter acquisition module is used for the target voltage information, the target current information, the target real-time capacity, the target charge and discharge information and the target battery safety state characteristic parameter to jointly form the target dynamic characteristic parameter.

[0085] Furthermore, the system also includes:

[0086] A capacity acquisition module, the capacity acquisition module is used to acquire the target initial capacity of the target battery from the target factory characteristic parameters;

[0087] A formula module is used to introduce a preset battery safety cycle life assessment scheme to analyze the target initial capacity, the target real-time capacity and the target number of charge and discharge cycles in the target charge and discharge information to obtain a target health index. The preset battery safety cycle life assessment scheme is expressed as follows:

[0088]

[0089] Among them, λ soh refers to the target health index, Q on , Q in They refer to the target real-time capacity and the target initial capacity respectively, and N soh Refers to the remaining safe charge and discharge cycle number of the target battery, N e refers to the preset charge and discharge failure threshold of the target battery, n refers to the target number of charge and discharge cycles, α and β are the first weight coefficient and the second weight coefficient respectively, and α+β=1;

[0090] A first adding module is used to add the target health index to the battery safety compensation constraint.

[0091] Furthermore, the system also includes:

[0092] A second calculation module, the second calculation module is used to perform weighted calculation on the overvoltage frequency and overvoltage amplitude of the target battery obtained by analyzing the target voltage information to obtain a first target index;

[0093] A third calculation module, the third calculation module is used to perform weighted calculation on the overcurrent frequency and overcurrent amplitude of the target battery obtained by analyzing the target current information to obtain a second target index;

[0094] a fourth calculation module, the fourth calculation module being used to perform weighted calculation on the over-discharge frequency and over-discharge amplitude of the target battery obtained by analyzing the target charge and discharge information, so as to obtain a third target index;

[0095] A second adding module is used to add the first target index, the second target index and the third target index to the battery safety compensation constraint.

[0096] Through the above-mentioned detailed description of the battery safety monitoring method based on dynamic compensation in this specification, those skilled in the art can clearly understand the battery safety monitoring system based on dynamic compensation in this embodiment. For the device disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant parts can be referred to the method part description.

[0097] The above description of the disclosed embodiments enables those skilled in the art to implement or use the present application. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present application. Therefore, the present application will not be limited to the embodiments shown herein, but will conform to the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A battery safety monitoring method based on dynamic compensation, characterized in that: The method comprises: The target factory safety index is obtained by analyzing the target factory characteristic parameters obtained by performing factory inspection on the target battery at the production end based on the preset factory inspection scheme; Acquire target dynamic characteristic parameters of the target battery, where the target dynamic characteristic parameters are obtained by dynamically monitoring and sensing the target battery through a nondestructive testing module and a multi-intelligent sensor embedded in the target battery; Obtaining a first target dynamic safety index by weighting a target battery safety state characteristic parameter in the target dynamic characteristic parameter; Generating a battery safety compensation constraint by using a second state characteristic parameter in the target dynamic characteristic parameter to dynamically compensate the first target dynamic safety index to obtain a compensated second target dynamic safety index, wherein the second state characteristic parameter refers to a parameter obtained by removing the target battery safety state characteristic parameter from the target dynamic characteristic parameter; Weighting the target factory safety index and the second target dynamic safety index to obtain a target safety monitoring result of the target battery; The step of generating a battery safety compensation constraint by using the second state characteristic parameter in the target dynamic characteristic parameter to dynamically compensate the first target dynamic safety index includes: Acquire a target initial capacity of the target battery from the target factory characteristic parameters; A preset battery safety cycle life assessment scheme is introduced to analyze the target initial capacity, the target real-time capacity and the target number of charge and discharge cycles in the target charge and discharge information to obtain a target health index. The preset battery safety cycle life assessment scheme is expressed as follows: ； in, refers to the target health index, respectively refer to the target real-time capacity and the target initial capacity, refers to the remaining safe charge and discharge cycle number of the target battery, refers to the preset charge and discharge failure threshold of the target battery, n refers to the target number of charge and discharge cycles, are the first weight coefficient and the second weight coefficient respectively, and ; The target health index is added to the battery safety compensation constraint.

2. The method according to claim 1, characterized in that: The method is applied to a battery safety monitoring system based on dynamic compensation, the system is communicatively connected with an application monitoring module, and the method further includes: Analyze and obtain a target application safety index based on target application characteristic parameters obtained by dynamic application monitoring of an actual application carrier of the target battery; The target application characteristic parameters include carrier operating condition data and carrier maintenance data, and the carrier operating condition data is data obtained by the application monitoring module from monitoring the actual application carrier under different operating conditions; The target safety monitoring result is corrected based on the target application safety index.

3. The method according to claim 2, characterized in that: The target application characteristic parameters obtained by dynamic application monitoring of the actual application carrier of the target battery are analyzed to obtain the target application safety index, including: Obtaining the speed sequence of the actual application carrier operating under different working conditions through the speed sensor in the application monitoring module; Extracting the fastest speed in the speed sequence, analyzing the speed sequence and calculating an average acceleration, wherein both the fastest speed and the average acceleration are used to evaluate the power performance of the target battery on the actual application carrier; Obtaining the vibration time sequence of the actual application carrier operating under different working conditions through the vibration sensor in the application monitoring module; Extracting the maximum vibration in the vibration time series, analyzing the vibration time series and calculating an average vibration amplitude, wherein both the maximum vibration and the average vibration amplitude are used to evaluate the dynamic stability of the target battery on the actual application carrier; The maximum speed, the average acceleration, the maximum vibration and the average vibration amplitude are used as the target application characteristic parameters.

4. The method according to claim 1, characterized in that: The multi-intelligent sensor includes a fiber Bragg grating sensor, a thin film pressure sensor, a gas detection sensor, and an implantable potential sensor. Before obtaining the first target dynamic safety index by weighting the target battery safety state characteristic parameter in the target dynamic characteristic parameter, the method includes: The target temperature parameter of the target battery is obtained by dynamic monitoring of the fiber Bragg grating sensor, the target pressure parameter of the target battery is obtained by dynamic monitoring of the thin film pressure sensor, the target gas parameter of the target battery is obtained by dynamic monitoring of the gas detection sensor, and the target potential parameter of the target battery is obtained by dynamic monitoring of the implantable potential sensor; The target temperature parameter, the target pressure parameter, the target gas parameter and the target potential parameter together constitute the target battery safety state characteristic parameter.

5. The method according to claim 4, characterized in that: The nondestructive testing module includes a voltage sensor, a current sensor, a capacity sensor, and a charge and discharge detector. The method further includes: The target voltage information of the target battery is obtained by detecting with the voltage sensor, the target current information of the target battery is obtained by detecting with the current sensor, the target real-time capacity of the target battery is obtained by detecting with the capacity sensor, and the target charge and discharge information of the target battery is obtained by detecting with the charge and discharge detector; The target voltage information, the target current information, the target real-time capacity, the target charge and discharge information and the target battery safety state characteristic parameters together constitute the target dynamic characteristic parameters.

6. The method according to claim 5, characterized in that The step of generating a battery safety compensation constraint by using the second state characteristic parameter in the target dynamic characteristic parameter to dynamically compensate the first target dynamic safety index further includes: Performing weighted calculation on the overvoltage frequency and overvoltage amplitude of the target battery obtained by analyzing the target voltage information to obtain a first target index; Performing weighted calculation on the overcurrent frequency and overcurrent amplitude of the target battery obtained by analyzing the target current information to obtain a second target index; Performing weighted calculation on the over-discharge frequency and over-discharge amplitude of the target battery obtained by analyzing the target charge and discharge information to obtain a third target index; The first target index, the second target index, and the third target index are added to the battery safety compensation constraint.

7. A battery safety monitoring system based on dynamic compensation, characterized in that: The system comprises: A production factory inspection module, which is used to obtain a target factory safety index by analyzing target factory characteristic parameters obtained by performing production factory inspection on the target battery at the production end based on a preset factory inspection scheme; A dynamic monitoring and sensing module, which is used to obtain target dynamic characteristic parameters of the target battery, wherein the target dynamic characteristic parameters are obtained by dynamically monitoring and sensing the target battery through a nondestructive testing module and a multi-intelligent sensor embedded in the target battery; An index acquisition module, the index acquisition module is used to obtain a first target dynamic safety index by weighting a target battery safety state characteristic parameter in the target dynamic characteristic parameter; A dynamic compensation module, the dynamic compensation module is used to generate a battery safety compensation constraint by using a second state characteristic parameter in the target dynamic characteristic parameter to dynamically compensate the first target dynamic safety index to obtain a compensated second target dynamic safety index, wherein the second state characteristic parameter refers to a parameter obtained by removing the target battery safety state characteristic parameter from the target dynamic characteristic parameter; A safety monitoring module, the safety monitoring module is used to weight the target factory safety index and the second target dynamic safety index to obtain a target safety monitoring result of the target battery; A capacity acquisition module, the capacity acquisition module is used to acquire the target initial capacity of the target battery from the target factory characteristic parameters; A formula module is used to introduce a preset battery safety cycle life assessment scheme to analyze the target initial capacity, the target real-time capacity, and the target number of charge and discharge cycles in the target charge and discharge information to obtain a target health index. The preset battery safety cycle life assessment scheme is expressed as follows: ； in, refers to the target health index, respectively refer to the target real-time capacity and the target initial capacity, refers to the remaining safe charge and discharge cycle number of the target battery, refers to the preset charge and discharge failure threshold of the target battery, refers to the target number of charge and discharge cycles, are the first weight coefficient and the second weight coefficient respectively, and ; A first adding module, wherein the first adding module is used to add the target health index to the battery safety compensation constraint.

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