A multi-modal based battery state analysis method and system

Abstract

The application discloses a battery state analysis method and system based on multiple modes, which comprises the following steps: acquiring the first electrolyte concentration, the first operating parameter and the first ambient temperature of a battery to be monitored in real time; performing risk level evaluation on the battery to be monitored according to the first operating parameter and the rated operating parameter, and determining the next monitoring cycle adjustment ratio corresponding to the risk level evaluation result; in the case that the monitoring time corresponding to the next monitoring cycle adjustment ratio is reached, acquiring the second electrolyte concentration, the second operating parameter and the second ambient temperature of the battery to be monitored; determining the electrolyte concentration change rate, the operating parameter change rate and the ambient temperature change rate of the battery to be monitored according to the first electrolyte concentration, the first operating parameter, the first ambient temperature, the second electrolyte concentration, the second operating parameter and the second ambient temperature; and performing state analysis on the battery to be monitored based on the multiple parameter change rates, so that the flexibility of battery state monitoring and the accuracy of analysis results can be improved.

Description

Technical Field

[0001] This application belongs to the field of energy storage battery technology, specifically relating to a battery state analysis method and system based on multimodal operation. Background Technology

[0002] With the rapid development of electric vehicles, large-scale energy storage power stations, and portable electronic devices, batteries, as the core component of energy storage and conversion, directly affect the reliability of the entire system due to the stability and safety of their operating status. Timely and accurate analysis of battery status by measuring multimodal parameters such as electrical variables and influencing factors is of paramount importance in battery maintenance.

[0003] In existing technologies, battery state analysis mainly relies on single-parameter monitoring and fixed-period parameter acquisition. This involves periodically collecting operating parameters such as battery voltage, current, and power, comparing the collected parameters with their corresponding maximum values, and determining whether there are any abnormalities in the battery's current operating state. However, existing technologies depend on comparing single-dimensional electrical variable parameter values ​​and can only monitor battery state at fixed time intervals, resulting in inflexible monitoring methods and inaccurate state analysis results for energy storage batteries. Summary of the Invention

[0004] The purpose of this application is to provide a multimodal battery state analysis method and system, which solves the problems of inflexible monitoring methods and inaccurate state analysis results in the prior art. By adjusting the monitoring cycle of the battery under test according to the first operating parameter and the rated operating parameter, and determining the rate of change of multiple parameters of the battery under test in the next monitoring cycle, the state analysis of the battery under test can be performed based on the rate of change of multiple parameters. This achieves the goal of flexibly adjusting the battery state monitoring cycle, which is beneficial to the timeliness of battery fault state alarms. Furthermore, the accuracy of the battery state analysis results is improved through multimodal parameter analysis.

[0005] In a first aspect, embodiments of this application provide a multimodal battery state analysis method, the method comprising:

[0006] The system acquires the first electrolyte concentration, first operating parameters, and first ambient temperature of the battery under monitoring in real time. Based on the first operating parameters and the rated operating parameters, it assesses the risk level of the battery under monitoring and determines the adjustment ratio for the next monitoring cycle corresponding to the risk level assessment results.

[0007] When the monitoring time corresponding to the adjustment ratio of the next monitoring cycle is reached, the second electrolyte concentration, the second operating parameter, and the second ambient temperature of the battery to be monitored are obtained. Based on the first electrolyte concentration, the first operating parameter, the first ambient temperature, the second electrolyte concentration, the second operating parameter, and the second ambient temperature, the change rate of the electrolyte concentration, the change rate of the operating parameter, and the change rate of the ambient temperature of the battery to be monitored are determined.

[0008] Based on the rate of change of ambient temperature, the preset threshold for the rate of change of electrolyte concentration and the preset threshold for the rate of change of operating parameters are adjusted respectively. The state analysis results of the battery to be monitored are determined according to the rate of change of electrolyte concentration, the adjustment results of the preset threshold for the rate of change of electrolyte concentration, the rate of change of operating parameters, and the adjustment results of the preset threshold for the rate of change of operating parameters.

[0009] Furthermore, the first operating parameters include multiple first basic operating parameters and the cumulative number of charging times corresponding to each first basic operating parameter; the number of first electrolyte concentrations is multiple; and the number of first ambient temperatures is multiple.

[0010] The rate of change of electrolyte concentration, the rate of change of operating parameters, and the rate of change of ambient temperature of the battery to be monitored are determined based on the first electrolyte concentration, the first operating parameter, the first ambient temperature, the second electrolyte concentration, the second operating parameter, and the second ambient temperature, including:

[0011] Based on the cumulative number of charging times and the preset baseline number of charging times, multiple first basic operating parameters are filtered to obtain multiple baseline operating parameters, and the operating timestamps corresponding to each baseline operating parameter are determined.

[0012] Determine the electrolyte timestamp corresponding to each first electrolyte concentration and the ambient temperature timestamp corresponding to each first ambient temperature. Based on the running timestamp, electrolyte timestamp, and ambient temperature timestamp, perform baseline electrolyte concentration screening and baseline ambient temperature screening for multiple first electrolyte concentrations and multiple first ambient temperatures, respectively.

[0013] Based on the baseline operating parameters, the baseline electrolyte concentration screening results, the baseline ambient temperature screening results, the second electrolyte concentration, the second operating parameters, and the second ambient temperature, determine the electrolyte concentration change rate, operating parameter change rate, and ambient temperature change rate of the battery to be monitored.

[0014] Furthermore, the reference operating parameters include multiple first battery reference operating parameters and reference battery internal resistance values, and the second operating parameters include multiple second battery basic operating parameters and second battery internal resistance values;

[0015] Based on the baseline operating parameters, the baseline electrolyte concentration screening results, the baseline ambient temperature screening results, the second electrolyte concentration, the second operating parameters, and the second ambient temperature, the electrolyte concentration change rate, operating parameter change rate, and ambient temperature change rate of the battery to be monitored are determined, including:

[0016] The electrolyte concentration baseline value of the battery to be monitored is determined based on multiple baseline electrolyte concentrations in the baseline electrolyte concentration screening results, and the environmental baseline temperature value of the battery to be monitored is determined based on multiple baseline environmental temperatures in the baseline environmental temperature screening results.

[0017] The aging coefficient of the battery to be monitored is determined based on the internal resistance value of the reference battery and the internal resistance value of the second battery. Based on the aging coefficient, multiple reference operating parameters of the first battery and reference values ​​of electrolyte concentration are corrected to obtain multiple theoretical operating parameters and theoretical electrolyte concentration.

[0018] The rate of change of electrolyte concentration, rate of change of operating parameters, and rate of change of ambient temperature of the battery to be monitored are determined based on multiple theoretical operating parameters, theoretical electrolyte concentration, ambient temperature, multiple basic operating parameters of the second battery, second electrolyte concentration, and second ambient temperature.

[0019] Furthermore, the theoretical operating parameters include multiple theoretical voltage values, multiple theoretical current values, and multiple theoretical operating temperature values; the basic operating parameters of the second battery include multiple second voltage values, multiple second current values, and multiple second operating temperature values; and the rate of change of multiple parameters of the battery to be monitored includes the rate of change of electrical variable parameters and the rate of change of temperature gradient.

[0020] Based on multiple theoretical operating parameters, theoretical electrolyte concentration, ambient reference temperature, multiple basic operating parameters of the second battery, second electrolyte concentration, and second ambient temperature, the electrolyte concentration change rate, operating parameter change rate, and ambient temperature change rate of the battery to be monitored are determined, including:

[0021] The correlation between theoretical voltage and current is determined based on multiple theoretical voltage values ​​and multiple theoretical current values, and the theoretical temperature gradient is determined based on multiple theoretical operating temperature values.

[0022] The correlation between the second voltage and the current is determined based on multiple second voltage values ​​and multiple second current values, and the second temperature gradient is determined based on multiple second operating temperature values;

[0023] The rate of change of electrical variable parameters of the battery under monitoring is determined based on the theoretical voltage-current correlation and the second voltage-current correlation, and the rate of change of temperature gradient of the battery under monitoring is determined based on the theoretical temperature gradient and the second temperature gradient.

[0024] Furthermore, the first operating parameters include a first voltage value, a first current value, a first operating temperature value, and a first charging / discharging power, while the rated operating parameters include a rated voltage value, a rated current value, and a rated operating temperature value.

[0025] A risk level assessment is conducted on the battery under monitoring based on the first operating parameter and the rated operating parameter, including:

[0026] The voltage deviation rate of the battery to be monitored is determined based on the first voltage value and the rated voltage value; the current deviation rate of the battery to be monitored is determined based on the first current value and the rated current value; and the operating temperature deviation rate of the battery to be monitored is determined based on the first operating temperature value and the rated operating temperature value.

[0027] The risk assessment value of the battery to be monitored is calculated based on the weight of the deviation rate of preset parameters, voltage deviation rate, current deviation rate and operating temperature deviation rate. The risk assessment value is then matched with a preset risk level comparison table to obtain the risk level assessment result of the battery to be monitored.

[0028] Furthermore, the operating temperature deviation rate of the battery to be monitored is determined based on the first operating temperature value and the rated operating temperature value, including:

[0029] The safe operating temperature of the battery to be monitored is determined based on the preset safe temperature ratio and the rated operating temperature, and the width of the high-risk operating temperature range of the battery to be monitored is determined based on the safe operating temperature and the rated operating temperature.

[0030] The operating temperature deviation of the battery to be monitored is calculated based on the first operating temperature value and the safe operating temperature, and the operating temperature deviation rate of the battery to be monitored is determined based on the operating temperature deviation and the width of the high-risk operating temperature range.

[0031] Furthermore, based on the rate of change of ambient temperature, the preset threshold for the rate of change of electrolyte concentration and the preset threshold for the rate of change of operating parameters are adjusted, including:

[0032] Calculate the deviation between the rate of change of ambient temperature and the rate of change of preset benchmark ambient temperature, and determine the electrolyte concentration change rate threshold adjustment coefficient and the operating parameter change rate threshold adjustment coefficient corresponding to the rate of change deviation.

[0033] The preset electrolyte concentration change rate threshold is adjusted based on the electrolyte concentration change rate threshold adjustment coefficient to obtain the preset electrolyte concentration change rate threshold adjustment result. The preset operating parameter change rate threshold is then adjusted based on the operating parameter change rate threshold adjustment coefficient to obtain the preset operating parameter change rate threshold adjustment result.

[0034] Secondly, embodiments of this application provide a multimodal battery state analysis system, the system comprising:

[0035] The monitoring cycle adjustment module is used to acquire the first electrolyte concentration, first operating parameters and first ambient temperature of the battery to be monitored in real time, assess the risk level of the battery to be monitored based on the first operating parameters and the rated operating parameters, and determine the adjustment ratio of the next monitoring cycle corresponding to the risk level assessment result.

[0036] The parameter change rate determination module is used to acquire the second electrolyte concentration, second operating parameters, and second ambient temperature of the battery to be monitored when the monitoring time corresponding to the adjustment ratio of the next monitoring cycle is reached, and to determine the change rate of electrolyte concentration, change rate of operating parameters, and change rate of ambient temperature of the battery to be monitored based on the first electrolyte concentration, first operating parameters, first ambient temperature, second electrolyte concentration, second operating parameters, and second ambient temperature.

[0037] The state analysis module is used to adjust the preset electrolyte concentration change rate threshold and the preset operating parameter change rate threshold based on the ambient temperature change rate. The state analysis results of the battery to be monitored are determined based on the electrolyte concentration change rate, the adjustment results of the preset electrolyte concentration change rate threshold, the operating parameter change rate, and the adjustment results of the preset operating parameter change rate threshold.

[0038] Thirdly, embodiments of this application provide an electronic device including a processor, a memory, and a program or instructions stored in the memory and executable on the processor, wherein the program or instructions, when executed by the processor, implement the steps of the method described in the first aspect.

[0039] Fourthly, embodiments of this application provide a readable storage medium on which a program or instructions are stored, which, when executed by a processor, implement the steps of the method described in the first aspect.

[0040] Fifthly, embodiments of this application also provide a computer program product comprising a computer program stored in a computer-readable storage medium, wherein at least one processor of the device reads from the computer-readable storage medium and executes the computer program, causing the device to perform the method described in the first aspect.

[0041] In this embodiment, the first electrolyte concentration, first operating parameters, and first ambient temperature of the battery under monitoring are acquired in real time. A risk level assessment is performed on the battery under monitoring based on the first operating parameters and rated operating parameters, and an adjustment ratio for the next monitoring cycle corresponding to the risk level assessment result is determined. When the monitoring time corresponding to the adjustment ratio for the next monitoring cycle is reached, the second electrolyte concentration, second operating parameters, and second ambient temperature of the battery under monitoring are acquired. The electrolyte concentration change rate, operating parameter change rate, and ambient temperature change rate of the battery under monitoring are determined based on the first electrolyte concentration, first operating parameters, first ambient temperature, second electrolyte concentration, second operating parameters, and second ambient temperature. A preset electrolyte concentration change rate threshold and a preset operating parameter change rate threshold are adjusted based on the ambient temperature change rate. The state analysis result of the battery under monitoring is determined based on the electrolyte concentration change rate, the adjustment result of the preset electrolyte concentration change rate threshold, the operating parameter change rate, and the adjustment result of the preset operating parameter change rate threshold. The aforementioned multimodal battery state analysis method solves the problems of inflexible monitoring methods and inaccurate state analysis results in existing technologies. By adjusting the monitoring cycle of the battery under test based on the first operating parameter and the rated operating parameter, and determining the rate of change of multiple parameters of the battery under test in the next monitoring cycle, the state analysis of the battery under test can be performed based on the rate of change of multiple parameters. This achieves the goal of flexibly adjusting the battery state monitoring cycle, which is beneficial to the timeliness of battery fault state alarms. Furthermore, the accuracy of the battery state analysis results is improved through multimodal parameter analysis. Attached Figure Description

[0042] Figure 1 This is a flowchart of a multimodal battery state analysis method provided in an embodiment of this application;

[0043] Figure 2 This is a flowchart of determining the rate of change of parameters provided in an embodiment of this application;

[0044] Figure 3 This is a graph showing the change in aging coefficient as a function of internal resistance rate, provided in an embodiment of this application.

[0045] Figure 4 This is a flowchart for assessing the risk level of a battery to be monitored, provided in an embodiment of this application.

[0046] Figure 5 This is a structural block diagram of a multimodal battery state analysis system provided in an embodiment of this application;

[0047] Figure 6 This is a structural block diagram of the electronic device provided in the embodiments of this application. Detailed Implementation

[0048] To make the objectives, technical solutions, and advantages of this application clearer, specific embodiments of this application are described in detail below with reference to the accompanying drawings. It is understood that the specific embodiments described herein are merely for explaining this application and not for limiting it. Furthermore, it should be noted that, for ease of description, only the parts relevant to this application are shown in the drawings, not all of them. Before discussing exemplary embodiments in more detail, it should be mentioned that some exemplary embodiments are described as processes or methods depicted as flowcharts. Although the flowcharts describe operations (or steps) as sequential processes, many of these operations can be performed in parallel, concurrently, or simultaneously. Furthermore, the order of the operations can be rearranged. The process can be terminated when its operation is completed, but may also have additional steps not included in the drawings. The process can correspond to a method, function, procedure, subroutine, subprogram, etc.

[0049] The technical solutions of the embodiments of this application will be clearly described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of this application. All other embodiments obtained by those skilled in the art based on the embodiments of this application are within the scope of protection of this application.

[0050] The terms "first," "second," etc., used in the specification and claims of this application are used to distinguish similar objects and not to describe a specific order or sequence. It should be understood that such use of data can be interchanged where appropriate so that embodiments of this application can be implemented in orders other than those illustrated or described herein, and the objects distinguished by "first," "second," etc., are generally of the same class and the number of objects is not limited; for example, a first object can be one or more. Furthermore, in the specification and claims, "and / or" indicates at least one of the connected objects, and the character " / " generally indicates that the preceding and following objects are in an "or" relationship.

[0051] Firstly, this solution can be used in scenarios where battery status analysis is performed to ensure safe battery operation, especially in scenarios where timely and accurate status analysis of energy storage batteries is conducted based on multimodal parameters such as electrical variables and influencing factors. By adjusting the monitoring cycle of the battery under monitoring according to the first operating parameter and the rated operating parameter, and determining the rate of change of multiple parameters of the battery under monitoring in the next monitoring cycle, and performing status analysis based on the rate of change of multiple parameters, the battery status monitoring cycle can be flexibly adjusted, which is beneficial to the timeliness of battery fault status alarms. Furthermore, the accuracy of the battery status analysis results is improved through multimodal parameter analysis. Based on the above application scenario, it can be understood that the execution subject of each step in this solution can be a computer device. This computer device refers to any electronic device with data computing, processing, and storage capabilities, such as mobile phones, PCs (Personal Computers), tablet computers, and other terminal devices, or it can be a server or other devices. This application embodiment does not limit this.

[0052] The following description, in conjunction with the accompanying drawings, details a multimodal battery state analysis method and system provided in this application through specific embodiments and application scenarios.

[0053] Figure 1 This is a flowchart of a multimodal battery state analysis method provided in an embodiment of this application. Figure 1 As shown, the specific steps include the following:

[0054] S101, acquire the first electrolyte concentration, first operating parameters and first ambient temperature of the battery to be monitored in real time, assess the risk level of the battery to be monitored based on the first operating parameters and rated operating parameters, and determine the adjustment ratio for the next monitoring cycle corresponding to the risk level assessment result.

[0055] The first electrolyte concentration can be the concentration value of the electrolyte in the battery electrolyte at a certain moment according to the initial data acquisition cycle. Electrolyte concentration is a fundamental indicator for evaluating the chemical reaction activity of the battery and can be measured using an electrolyte concentration meter, density meter, and conductivity meter pre-installed inside the battery under monitoring. The first operating parameter can be data describing the battery's operating state at a certain moment according to the initial data acquisition cycle, such as voltage, current, and remaining charge. The first ambient temperature can be the temperature data of the external environment in which the battery is located at a certain moment according to the initial data acquisition cycle. Risk level assessment can be an operation based on the deviation of operating parameters to determine the current safety risk level of the battery's operation. The adjustment ratio for the next monitoring cycle can be parameters that are dynamically optimized according to the risk level. The adjustment ratio for the next monitoring cycle follows the principle of high-frequency monitoring during high-risk periods and low-frequency monitoring during low-risk periods to balance monitoring accuracy and resource consumption.

[0056] In one embodiment, the deviations of the first electrolyte concentration, the first operating parameter, and the first ambient temperature from the corresponding rated parameters in the rated safe operating range parameter database of the battery under test are calculated. The sum of the deviation calculation results for multiple parameters is then calculated, and this sum is compared with a parameter summation threshold corresponding to a preset risk level to determine the risk level assessment result of the battery under test. The adjustment ratio for the next monitoring cycle is determined based on the correspondence between the risk level assessment result and the monitoring cycle adjustment ratio.

[0057] S102, when the monitoring time corresponding to the adjustment ratio of the next monitoring cycle is reached, the second electrolyte concentration, the second operating parameter and the second ambient temperature of the battery to be monitored are obtained, and the electrolyte concentration change rate, operating parameter change rate and ambient temperature change rate of the battery to be monitored are determined according to the first electrolyte concentration, the first operating parameter and the first ambient temperature, the second electrolyte concentration, the second operating parameter and the second ambient temperature.

[0058] The second electrolyte concentration can be the concentration data of the electrolyte in the battery electrolyte collected at the monitoring time corresponding to the adjustment ratio of the next monitoring cycle. The second operating parameter can be data describing the battery operating status collected at the monitoring time corresponding to the adjustment ratio of the next monitoring cycle. The second ambient temperature can be the temperature data of the environment in which the battery is located collected at the monitoring time corresponding to the adjustment ratio of the next monitoring cycle.

[0059] In one embodiment, the next data acquisition time can be calculated based on the adjustment ratio for the next monitoring cycle. Upon reaching that time, the second electrolyte concentration, second operating parameters, and second ambient temperature are acquired through the sensor interface corresponding to the relevant parameters. The electrolyte concentration change rate is calculated based on the deviation between the second and first electrolyte concentrations and the time interval between the current time and its preceding adjacent acquisition time. The operating parameter change rate is calculated based on the deviation between the second and first operating parameters and the time interval between the current time and its preceding adjacent acquisition time. The ambient temperature change rate is calculated based on the deviation between the second and first ambient temperatures and the time interval between the current time and its preceding adjacent acquisition time.

[0060] S103, based on the rate of change of ambient temperature, adjust the preset electrolyte concentration change rate threshold and the preset operating parameter change rate threshold respectively, and determine the state analysis result of the battery to be monitored according to the electrolyte concentration change rate, the adjustment result of the preset electrolyte concentration change rate threshold, the operating parameter change rate, and the adjustment result of the preset operating parameter change rate threshold.

[0061] The preset electrolyte concentration change rate threshold can be a pre-stored critical value for the electrolyte concentration change rate under safe battery operating conditions. The preset operating parameter change rate threshold can be a pre-stored critical value for the operating parameter change rate under safe battery operating conditions. The state analysis results of the monitored battery can be information describing whether the monitored battery is in a safe operating state.

[0062] In one embodiment, the electrolyte concentration change rate threshold can be corrected based on a pre-set correspondence between the temperature change rate and the electrolyte concentration change rate threshold, and the operating parameter change rate threshold can be corrected based on a pre-set correspondence between the temperature change rate and the operating parameter change rate threshold. The correspondence could be that the faster the ambient temperature changes, the larger the normal fluctuation range of battery parameters, and the faster the electrolyte concentration change rate. This solution corrects the electrolyte concentration threshold or operating parameter threshold by adjusting the temperature change rate, avoiding misjudgments of battery status. The electrolyte concentration change rate is compared with the corrected electrolyte concentration change rate threshold to determine if it falls within the corrected threshold range. Similarly, the operating parameter change rate is compared with the corrected operating parameter change rate threshold to determine if it falls within the corrected operating parameter change rate threshold range. The final state is output based on the combined results of these two comparisons.

[0063] In one embodiment, adjusting a preset electrolyte concentration change rate threshold and a preset operating parameter change rate threshold based on the ambient temperature change rate includes: calculating the deviation between the ambient temperature change rate and a preset baseline ambient temperature change rate, and determining an electrolyte concentration change rate threshold adjustment coefficient and an operating parameter change rate threshold adjustment coefficient corresponding to the change rate deviation; adjusting the preset electrolyte concentration change rate threshold based on the electrolyte concentration change rate threshold adjustment coefficient to obtain a preset electrolyte concentration change rate threshold adjustment result; and adjusting the preset operating parameter change rate threshold based on the operating parameter change rate threshold adjustment coefficient to obtain a preset operating parameter change rate threshold adjustment result.

[0064] The rate of change deviation can be the difference between the actual calculated rate of change of ambient temperature and the preset rate of change of ambient temperature under safe battery operating conditions. The rate of change deviation quantifies the degree to which ambient temperature fluctuations deviate from normal levels. The electrolyte concentration rate of change threshold adjustment coefficient can be a proportional coefficient associated with the rate of change deviation, used to amplify or reduce the preset electrolyte concentration rate of change threshold. The operating parameter rate of change threshold adjustment coefficient can be a proportional coefficient associated with the rate of change deviation, used to amplify or reduce the preset operating parameter rate of change threshold.

[0065] In one embodiment, the difference between the rate of change of ambient temperature and the rate of change of a preset baseline ambient temperature can be calculated to obtain the rate of change deviation. An electrolyte concentration rate of change threshold adjustment coefficient is determined based on the correspondence between the preset rate of change deviation and the electrolyte concentration threshold adjustment coefficient. Similarly, an operating parameter rate of change threshold adjustment coefficient is determined based on the correspondence between the preset rate of change deviation and the operating parameter rate of change threshold adjustment coefficient. The preset electrolyte concentration rate of change threshold is then corrected according to the electrolyte concentration rate of change threshold adjustment coefficient, and the preset operating parameter rate of change threshold is also corrected according to the operating parameter rate of change threshold adjustment coefficient.

[0066] This solution determines the electrolyte concentration change rate threshold adjustment coefficient and the operating parameter change rate threshold adjustment coefficient by calculating the deviation between the rate of change of ambient temperature and the rate of change of a preset benchmark ambient temperature. The corresponding parameter change rate threshold is adjusted according to the threshold adjustment coefficient, which can achieve the purpose of adjusting the battery parameter change rate threshold in combination with the external environment, and is conducive to improving the accuracy of battery status assessment.

[0067] The technical solution provided in this application embodiment acquires the first electrolyte concentration, first operating parameters, and first ambient temperature of the battery under monitoring in real time. Based on the first operating parameters and rated operating parameters, a risk level assessment is performed on the battery under monitoring, and an adjustment ratio for the next monitoring cycle corresponding to the risk level assessment result is determined. When the monitoring time corresponding to the adjustment ratio for the next monitoring cycle is reached, the second electrolyte concentration, second operating parameters, and second ambient temperature of the battery under monitoring are acquired. Based on the first electrolyte concentration, first operating parameters, first ambient temperature, second electrolyte concentration, second operating parameters, and second ambient temperature, the electrolyte concentration change rate, operating parameter change rate, and ambient temperature change rate of the battery under monitoring are determined. Based on the ambient temperature change rate, preset electrolyte concentration change rate thresholds and preset operating parameter change rate thresholds are adjusted respectively. The state analysis result of the battery under monitoring is determined based on the electrolyte concentration change rate, the adjustment result of the preset electrolyte concentration change rate thresholds, the operating parameter change rate, and the adjustment result of the preset operating parameter change rate thresholds. The aforementioned multimodal battery state analysis method solves the problems of inflexible monitoring methods and inaccurate state analysis results in existing technologies. By adjusting the monitoring cycle of the battery under test based on the first operating parameter and the rated operating parameter, and determining the rate of change of multiple parameters of the battery under test in the next monitoring cycle, the state analysis of the battery under test can be performed based on the rate of change of multiple parameters. This achieves the goal of flexibly adjusting the battery state monitoring cycle, which is beneficial to the timeliness of battery fault state alarms. Furthermore, the accuracy of the battery state analysis results is improved through multimodal parameter analysis.

[0068] Figure 2 This is a flowchart illustrating the determination of the rate of change of parameters provided in an embodiment of this application. For example... Figure 2 As shown, the first operating parameters include multiple first basic operating parameters and the cumulative number of charging times corresponding to each first basic operating parameter. The number of first electrolyte concentrations is also multiple, as is the number of first ambient temperatures. Specifically, the process includes the following steps:

[0069] S201, based on the cumulative number of charging times and the preset baseline number of charging times, multiple first basic operating parameters are filtered to obtain multiple baseline operating parameters, and the operating timestamp corresponding to each baseline operating parameter is determined.

[0070] The cumulative number of charges can be the number of times the battery under test has been charged from the time it leaves the factory to the current time. The cumulative number of charges corresponding to each first basic operating parameter can be the number of times the battery under test has been charged at the time it is operating according to each first basic operating parameter. The preset benchmark number of charges can be the maximum number of charges that the battery can be charged when it is in a stable performance stage or a non-aging stage. The benchmark operating parameters can be the basic operating parameters of the battery under test when it is in a stable performance stage and is not aging. The operating timestamp can be the specific time information when each benchmark operating parameter is collected.

[0071] In one embodiment, a preset baseline number of charging cycles can be used as a filtering condition. Multiple first basic operating parameters are filtered based on the cumulative number of charging cycles corresponding to each first basic operating parameter. The first basic operating parameters before reaching the preset baseline number of charging cycles are used as the baseline operating parameters, and the operating timestamps corresponding to each baseline operating parameter are read.

[0072] S202, determine the electrolyte timestamp corresponding to each first electrolyte concentration and the ambient temperature timestamp corresponding to each first ambient temperature, and perform benchmark electrolyte concentration screening and benchmark ambient temperature screening for multiple first electrolyte concentrations and multiple first ambient temperatures based on the running timestamp, electrolyte timestamp and ambient temperature timestamp respectively.

[0073] The electrolyte timestamp can be the specific time information when each first electrolyte concentration was collected. The ambient temperature timestamp can be the specific time information when each first ambient temperature was collected. The reference electrolyte concentration can be the electrolyte concentration data whose timestamp coincides with or precedes the operating timestamp of the reference operating parameters, selected from multiple first electrolyte concentrations. The reference ambient temperature can be the ambient temperature data whose timestamp coincides with or precedes the operating timestamp of the reference operating parameters, selected from multiple first ambient temperatures. Both the reference electrolyte concentration and the reference ambient temperature are parameters collected from the battery under monitoring during a safe and stable operating phase, taking into account the battery itself and its surrounding environment.

[0074] In one embodiment, the electrolyte timestamp corresponding to each first electrolyte concentration can be read, and the first electrolyte concentration whose timestamp coincides with or is earlier than the running timestamp can be selected as the reference electrolyte concentration based on the running timestamp. Similarly, the electrolyte timestamp corresponding to each first ambient temperature can be read, and the first ambient temperature whose timestamp coincides with or is earlier than the running timestamp can be selected as the reference ambient temperature based on the running timestamp.

[0075] S203, based on the baseline operating parameters, the baseline electrolyte concentration screening results, the baseline ambient temperature screening results, the second electrolyte concentration, the second operating parameters, and the second ambient temperature, determine the electrolyte concentration change rate, operating parameter change rate, and ambient temperature change rate of the battery to be monitored.

[0076] In one embodiment, the baseline operating parameters, the baseline electrolyte concentration screening results, and the baseline ambient temperature screening results can be used as the standard values ​​of the corresponding parameters, respectively. The differences between the second electrolyte concentration, the second operating parameters, and the second ambient temperature and the corresponding standard values ​​of the parameters are calculated, and the ratio of each difference to the corresponding standard value of the parameter is calculated to obtain the electrolyte concentration change rate, operating parameter change rate, and ambient temperature change rate of the battery to be monitored.

[0077] In one embodiment, the reference operating parameters include multiple first battery reference operating parameters and reference battery internal resistance values, and the second operating parameters include multiple second battery basic operating parameters and second battery internal resistance values. Determining the electrolyte concentration change rate, operating parameter change rate, and ambient temperature change rate of the battery to be monitored based on the reference operating parameters, reference electrolyte concentration screening results, reference ambient temperature screening results, second electrolyte concentration, second operating parameters, and second ambient temperature includes: determining a reference electrolyte concentration value for the battery to be monitored based on multiple reference electrolyte concentrations in the reference electrolyte concentration screening results, and determining an ambient reference temperature value for the battery to be monitored based on multiple reference ambient temperatures in the reference ambient temperature screening results; determining the aging coefficient of the battery to be monitored based on the reference battery internal resistance value and the second battery internal resistance value, and correcting the multiple first battery reference operating parameters and electrolyte concentration reference values ​​based on the aging coefficient to obtain multiple theoretical operating parameters and theoretical electrolyte concentrations; and determining the electrolyte concentration change rate, operating parameter change rate, and ambient temperature change rate of the battery to be monitored based on the multiple theoretical operating parameters, theoretical electrolyte concentration, ambient reference temperature value, multiple second battery basic operating parameters, second electrolyte concentration, and second ambient temperature.

[0078] The first battery reference operating parameter can be a parameter used to describe the operating state of the battery under test. The reference battery internal resistance value can be the internal resistance value describing the battery under test when it is in a safe operating state or a non-aged state. The second battery reference operating parameter can be a parameter used to describe the operating state of the battery under test at its current aging level. The second battery internal resistance value can be the internal resistance value of the battery under test at its current aging level. Since the battery internal resistance directly reflects the degree of battery aging, and battery aging leads to an increase in internal resistance, it is necessary to obtain the second battery internal resistance at the current moment to improve the accuracy of the analysis results of the operating state of the battery under test at the current moment. The electrolyte concentration reference value can be the average value of the reference electrolyte concentration screening results. The environmental reference temperature value can be the average value of the reference environmental temperature screening results. The aging coefficient can be data used to quantify the degree of battery aging. The theoretical operating parameter can be the parameter obtained by correcting the first battery reference operating parameter with the aging coefficient.

[0079] In one embodiment, the average value of multiple reference electrolyte concentrations can be calculated to obtain a reference electrolyte concentration value, and the average value of multiple reference ambient temperatures can be calculated to obtain an ambient reference temperature value. The change in internal resistance between the reference battery's internal resistance value and the internal resistance value of the second battery monitored at the current moment is calculated, and the ratio of the change in internal resistance to the reference battery's internal resistance value is calculated to obtain the internal resistance change rate. The aging coefficient of the battery to be monitored is determined based on the correspondence between the internal resistance change rate and the aging coefficient.

[0080] Figure 3 This is a graph showing the change in aging coefficient as a function of the rate of change in internal resistance, provided in an embodiment of this application. Figure 3 As shown, the horizontal axis represents the aging coefficient of the battery under test, which typically ranges from 0 to 1, where 0 represents a brand-new state and 1 represents a failed state. The vertical axis represents the rate of change of the battery's internal resistance, calculated based on the internal resistance values ​​of the baseline and the second battery. The rate of change of internal resistance is positively correlated with the aging coefficient, reflecting the aging coefficient of the battery under test at its current stage. The rate of change of the battery's internal resistance directly reflects the degree of degradation of the battery's internal resistance compared to its manufacturing stage. In the low aging stage (0-0.2), the battery's internal resistance is highly consistent with its manufacturing state, and the rate of change is small. In the moderate aging stage (0.2-0.6), the battery performance is basically stable, representing normal aging, and the rate of change of internal resistance increases. This increase mainly comes from the initial formation of the SEI film. In the high aging stage (0.6-1), internal aging intensifies, the separator ages and breaks down, and dendrites grow, resulting in a sharp and unstable increase in internal resistance, with a faster rate of change.

[0081] The theoretical operating parameters can be obtained by multiplying the aging coefficient by the baseline operating parameters of the first battery, and the theoretical electrolyte concentration can be obtained by multiplying the aging coefficient by the baseline electrolyte concentration. The difference between the theoretical operating parameters and the baseline operating parameters of the second battery is calculated, along with the time stamp difference between the theoretical operating parameters and the baseline operating parameters. The rate of change of the operating parameters is determined by the absolute value of the ratio of the operating parameter difference to the timestamp difference. Similarly, the rate of change of electrolyte concentration is calculated based on the second electrolyte concentration, the theoretical electrolyte concentration, and the timestamps corresponding to each concentration parameter. The rate of change of temperature is calculated based on the second ambient temperature, the ambient temperature environment, and the timestamps corresponding to each ambient temperature parameter.

[0082] This method determines the aging coefficient of the battery under test by the battery's internal resistance value. Based on the aging coefficient, the baseline operating parameters, electrolyte concentration baseline value, and ambient temperature baseline value are corrected respectively. The electrolyte concentration change rate, operating parameter change rate, and ambient temperature change rate of the battery under test are determined according to the baseline value correction results. This can improve the accuracy of the battery aging coefficient calculation and is beneficial to the accuracy of the baseline value correction results.

[0083] In one embodiment, the theoretical operating parameters include multiple theoretical voltage values, multiple theoretical current values, and multiple theoretical operating temperature values; the basic operating parameters of the second battery include multiple second voltage values, multiple second current values, and multiple second operating temperature values; and the multiple parameter change rates of the battery under test include the change rate of electrical variable parameters and the change rate of temperature gradient. Determining the change rate of electrolyte concentration, the change rate of operating parameters, and the change rate of ambient temperature of the battery under test based on multiple theoretical operating parameters, theoretical electrolyte concentration, ambient reference temperature value, multiple basic operating parameters of the second battery, second electrolyte concentration, and second ambient temperature includes: determining the correlation between theoretical voltage and current based on multiple theoretical voltage values ​​and multiple theoretical current values, and determining the theoretical temperature gradient based on multiple theoretical operating temperature values; determining the correlation between second voltage and current based on multiple second voltage values ​​and multiple second current values, and determining the second temperature gradient based on multiple second operating temperature values; determining the change rate of electrical variable parameters of the battery under test based on the correlation between theoretical voltage and current and the correlation between second voltage and current, and determining the change rate of temperature gradient of the battery under test based on the theoretical temperature gradient and the second temperature gradient.

[0084] Among these, the rate of change of electrical variable parameters can be a parameter describing the stability of the battery's electrical performance correlation. The rate of change of temperature gradient can be a parameter describing the change in the uniformity of the internal temperature distribution of the battery. The theoretical voltage-current correlation can be the degree of correlation of the battery's electrical performance under normal aging conditions and without faults. The theoretical temperature gradient can be the rate of temperature change of the battery under normal aging conditions and without faults. The second voltage-current correlation can be the degree of correlation of the battery's actual electrical performance at the current moment. The second temperature gradient can be the actual rate of temperature change of the battery at the current moment.

[0085] In one embodiment, the theoretical voltage-current correlation can be calculated using the Pearson correlation coefficient algorithm, multiple theoretical voltage values, and multiple theoretical current values. A second voltage-current correlation can be calculated using the same algorithm, multiple second voltage values, and multiple second current values. The correlation difference between the theoretical voltage-current correlation and the second voltage-current correlation is calculated, and the ratio of this correlation difference to the theoretical voltage-current correlation yields the rate of change of the electrical variable parameter. The theoretical temperature difference is calculated based on the theoretical operating temperature values ​​at the start and end timestamps from among multiple theoretical operating temperature values. The duration is determined based on the timestamp difference between the start and end timestamps, and the ratio of this theoretical temperature difference to the duration yields the theoretical temperature gradient. Similarly, the second temperature gradient is calculated. The gradient difference between the theoretical and second temperature gradients is calculated, and the absolute value of the ratio of this gradient difference to the theoretical temperature gradient yields the rate of change of the temperature gradient of the monitored battery.

[0086] This scheme determines the rate of change of electrical variable parameters and the rate of change of temperature gradient of the battery under monitoring by determining the theoretical voltage-current correlation, theoretical temperature gradient, second voltage-current correlation, and second temperature gradient. This achieves the purpose of calculating the correlation and rate of change of multimodal parameters of the battery under monitoring, thus improving the comprehensiveness of battery status assessment.

[0087] The technical solution provided in this application embodiment obtains multiple benchmark operating parameters by filtering parameters based on the cumulative number of charging times and the preset benchmark number of charging times. Based on the operating timestamps corresponding to the benchmark operating parameters, benchmark electrolyte concentration and benchmark ambient temperature are filtered to determine the electrolyte concentration change rate, operating parameter change rate, and ambient temperature change rate of the battery to be monitored. This achieves the purpose of filtering parameters under stable battery conditions to calculate parameter change rates, thus improving the accuracy of parameter change rate calculation.

[0088] Figure 4 This is a flowchart illustrating the assessment of the risk level of a battery to be monitored, provided in an embodiment of this application. For example... Figure 4As shown, the first operating parameters include a first voltage value, a first current value, a first operating temperature value, and a first charging / discharging power. The rated operating parameters include a rated voltage value, a rated current value, and a rated operating temperature value. Specifically, the process includes the following steps:

[0089] S401, determine the voltage deviation rate of the battery to be monitored based on the first voltage value and the rated voltage value, determine the current deviation rate of the battery to be monitored based on the first current value and the rated current value, and determine the operating temperature deviation rate of the battery to be monitored based on the first operating temperature value and the rated operating temperature value.

[0090] The first voltage value can be the real-time terminal voltage of the battery at a specific moment, collected according to the initial data acquisition cycle. The rated voltage value is the standard operating voltage set by the battery at the factory. The first current value can be the real-time charging and discharging current of the battery at a specific moment, collected according to the initial data acquisition cycle. The rated current value can be the standard operating current for safe charging and discharging of the battery as designed. The first operating temperature value can be the real-time internal or surface temperature of the battery at a specific moment, collected according to the initial data acquisition cycle. The rated operating temperature value can be the battery's permissible normal operating temperature range. The deviation rate can be the degree of deviation of the first operating parameter from the rated parameter.

[0091] In one embodiment, the difference between each parameter value in the first parameter value and its corresponding rated parameter value can be calculated, and the absolute value of the ratio of each difference to the corresponding rated parameter value can be calculated to obtain the corresponding deviation rate of each parameter. The corresponding deviation rate of each parameter includes the voltage deviation rate, current deviation rate, and operating temperature deviation rate of the battery to be monitored.

[0092] In one embodiment, determining the operating temperature deviation rate of the battery to be monitored based on a first operating temperature value and a rated operating temperature value includes: determining the safe operating temperature of the battery to be monitored based on a preset safe temperature ratio and a rated operating temperature, and determining the width of the high-risk operating temperature range of the battery to be monitored based on the safe operating temperature and the rated operating temperature; calculating the operating temperature deviation of the battery to be monitored based on the first operating temperature value and the safe operating temperature, and determining the operating temperature deviation rate of the battery to be monitored based on the operating temperature deviation and the width of the high-risk operating temperature range.

[0093] The preset safe temperature ratio can be the minimum safe distance that the safe temperature must maintain from the rated temperature. The rated operating temperature can be the standard operating temperature designed for the battery under test at the factory. The safe operating temperature can be the critical temperature at which the battery can operate safely. The high-risk operating temperature range width can be the absolute difference between the rated operating temperature and the safe operating temperature. The narrower the high-risk operating temperature range width, the faster the deviation rate increases when the temperature approaches the rated value, and the more sensitive the battery under test is to temperature changes.

[0094] In one embodiment, the safe operating temperature can be obtained by multiplying a preset safe operating temperature ratio by the rated operating temperature, and the width of the high-risk operating temperature range can be obtained by calculating the absolute value of the difference between the rated operating temperature and the safe operating temperature. The operating temperature deviation is obtained by calculating the difference between the first operating temperature value and the safe operating temperature, and the operating temperature deviation rate is obtained by calculating the ratio of the operating temperature deviation to the width of the high-risk operating temperature range.

[0095] This solution determines the safe operating temperature of the battery to be monitored based on a preset safe temperature ratio and the rated operating temperature. It also determines the width of the high-risk operating temperature range of the battery to be monitored based on the safe operating temperature and the rated operating temperature. Finally, it determines the operating temperature deviation rate of the battery to be monitored based on the operating temperature deviation and the width of the high-risk operating temperature range. This can improve the accuracy of the battery operating temperature deviation rate calculation results, making the temperature risk assessment results more accurate.

[0096] S402 calculates the risk assessment value of the battery to be monitored based on the influence weight of the preset parameter deviation rate, voltage deviation rate, current deviation rate and operating temperature deviation rate, and matches the risk assessment value with the preset risk level comparison table to obtain the risk level assessment result of the battery to be monitored.

[0097] The preset parameter deviation rate impact weight can be a pre-set weighting coefficient used to measure the impact of voltage deviation rate, current deviation rate, and operating temperature deviation rate on battery risk. The preset risk level comparison table can be a pre-stored table showing the correspondence between risk assessment value ranges and risk levels.

[0098] In one embodiment, the deviation rate weights corresponding to voltage deviation rate, current deviation rate, and operating temperature deviation rate in the preset parameter deviation rate influence weights are read to calculate the weighted sum of parameter deviation rates, thereby obtaining the risk assessment value of the battery to be monitored. The risk assessment value of the battery to be monitored is then compared with the risk assessment value range corresponding to the preset risk level comparison table to determine the risk level assessment result of the battery to be monitored.

[0099] The technical solution provided in this application, by calculating the deviation rate between parameters and rated values, and performing risk assessment on the battery under monitoring based on the influence weight of the preset parameter deviation rate and the deviation rate, can achieve the purpose of assessing battery risk based on multimodal parameters, thereby improving the comprehensiveness of the battery status risk assessment.

[0100] Figure 5 This is a structural block diagram of a multimodal battery state analysis system provided in an embodiment of this application. Figure 5 As shown, it specifically includes the following:

[0101] The monitoring cycle adjustment module 501 is used to acquire the first electrolyte concentration, first operating parameters and first ambient temperature of the battery to be monitored in real time, assess the risk level of the battery to be monitored based on the first operating parameters and the rated operating parameters, and determine the adjustment ratio of the next monitoring cycle corresponding to the risk level assessment result.

[0102] The parameter change rate determination module 502 is used to acquire the second electrolyte concentration, second operating parameters, and second ambient temperature of the battery to be monitored when the monitoring time corresponding to the adjustment ratio of the next monitoring cycle is reached, and to determine the electrolyte concentration change rate, operating parameter change rate, and ambient temperature change rate of the battery to be monitored based on the first electrolyte concentration, first operating parameters, first ambient temperature, second electrolyte concentration, second operating parameters, and second ambient temperature.

[0103] The state analysis module 503 is used to adjust the preset electrolyte concentration change rate threshold and the preset operating parameter change rate threshold based on the ambient temperature change rate, and to determine the state analysis results of the battery to be monitored based on the electrolyte concentration change rate, the adjustment results of the preset electrolyte concentration change rate threshold, the operating parameter change rate, and the adjustment results of the preset operating parameter change rate threshold.

[0104] Furthermore, the first operating parameters include multiple first basic operating parameters and the cumulative number of charging times corresponding to each first basic operating parameter; the number of first electrolyte concentrations is multiple; and the number of first ambient temperatures is multiple.

[0105] The parameter change rate determination module 502 is specifically used for:

[0106] Based on the cumulative number of charging times and the preset baseline number of charging times, multiple first basic operating parameters are filtered to obtain multiple baseline operating parameters, and the operating timestamps corresponding to each baseline operating parameter are determined.

[0107] Determine the electrolyte timestamp corresponding to each first electrolyte concentration and the ambient temperature timestamp corresponding to each first ambient temperature. Based on the running timestamp, electrolyte timestamp, and ambient temperature timestamp, perform baseline electrolyte concentration screening and baseline ambient temperature screening for multiple first electrolyte concentrations and multiple first ambient temperatures, respectively.

[0108] Based on the baseline operating parameters, the baseline electrolyte concentration screening results, the baseline ambient temperature screening results, the second electrolyte concentration, the second operating parameters, and the second ambient temperature, determine the electrolyte concentration change rate, operating parameter change rate, and ambient temperature change rate of the battery to be monitored.

[0109] Furthermore, the reference operating parameters include multiple first battery reference operating parameters and reference battery internal resistance values, and the second operating parameters include multiple second battery basic operating parameters and second battery internal resistance values;

[0110] The parameter change rate determination module 502 is specifically used for:

[0111] The electrolyte concentration baseline value of the battery to be monitored is determined based on multiple baseline electrolyte concentrations in the baseline electrolyte concentration screening results, and the environmental baseline temperature value of the battery to be monitored is determined based on multiple baseline environmental temperatures in the baseline environmental temperature screening results.

[0112] The aging coefficient of the battery to be monitored is determined based on the internal resistance value of the reference battery and the internal resistance value of the second battery. Based on the aging coefficient, multiple reference operating parameters of the first battery and reference values ​​of electrolyte concentration are corrected to obtain multiple theoretical operating parameters and theoretical electrolyte concentration.

[0113] The rate of change of electrolyte concentration, rate of change of operating parameters, and rate of change of ambient temperature of the battery to be monitored are determined based on multiple theoretical operating parameters, theoretical electrolyte concentration, ambient temperature, multiple basic operating parameters of the second battery, second electrolyte concentration, and second ambient temperature.

[0114] Furthermore, the theoretical operating parameters include multiple theoretical voltage values, multiple theoretical current values, and multiple theoretical operating temperature values; the basic operating parameters of the second battery include multiple second voltage values, multiple second current values, and multiple second operating temperature values; and the rate of change of multiple parameters of the battery to be monitored includes the rate of change of electrical variable parameters and the rate of change of temperature gradient.

[0115] The parameter change rate determination module 502 is specifically used for:

[0116] The correlation between theoretical voltage and current is determined based on multiple theoretical voltage values ​​and multiple theoretical current values, and the theoretical temperature gradient is determined based on multiple theoretical operating temperature values.

[0117] The correlation between the second voltage and the current is determined based on multiple second voltage values ​​and multiple second current values, and the second temperature gradient is determined based on multiple second operating temperature values;

[0118] The rate of change of electrical variable parameters of the battery under monitoring is determined based on the theoretical voltage-current correlation and the second voltage-current correlation, and the rate of change of temperature gradient of the battery under monitoring is determined based on the theoretical temperature gradient and the second temperature gradient.

[0119] Furthermore, the first operating parameters include a first voltage value, a first current value, a first operating temperature value, and a first charging / discharging power, while the rated operating parameters include a rated voltage value, a rated current value, and a rated operating temperature value.

[0120] The monitoring cycle adjustment module 501 is specifically used for:

[0121] The voltage deviation rate of the battery to be monitored is determined based on the first voltage value and the rated voltage value; the current deviation rate of the battery to be monitored is determined based on the first current value and the rated current value; and the operating temperature deviation rate of the battery to be monitored is determined based on the first operating temperature value and the rated operating temperature value.

[0122] The risk assessment value of the battery to be monitored is calculated based on the weight of the deviation rate of preset parameters, voltage deviation rate, current deviation rate and operating temperature deviation rate. The risk assessment value is then matched with a preset risk level comparison table to obtain the risk level assessment result of the battery to be monitored.

[0123] Furthermore, the monitoring cycle adjustment module 501 is specifically used for:

[0124] The safe operating temperature of the battery to be monitored is determined based on the preset safe temperature ratio and the rated operating temperature, and the width of the high-risk operating temperature range of the battery to be monitored is determined based on the safe operating temperature and the rated operating temperature.

[0125] The operating temperature deviation of the battery to be monitored is calculated based on the first operating temperature value and the safe operating temperature, and the operating temperature deviation rate of the battery to be monitored is determined based on the operating temperature deviation and the width of the high-risk operating temperature range.

[0126] Furthermore, the state analysis module 503 is specifically used for:

[0127] Calculate the deviation between the rate of change of ambient temperature and the rate of change of preset benchmark ambient temperature, and determine the electrolyte concentration change rate threshold adjustment coefficient and the operating parameter change rate threshold adjustment coefficient corresponding to the rate of change deviation.

[0128] The preset electrolyte concentration change rate threshold is adjusted based on the electrolyte concentration change rate threshold adjustment coefficient to obtain the preset electrolyte concentration change rate threshold adjustment result. The preset operating parameter change rate threshold is then adjusted based on the operating parameter change rate threshold adjustment coefficient to obtain the preset operating parameter change rate threshold adjustment result.

[0129] The technical solution provided in this application includes a monitoring cycle adjustment module, which is used to acquire the first electrolyte concentration, first operating parameters, and first ambient temperature of the battery under monitoring in real time, assess the risk level of the battery under monitoring based on the first operating parameters and rated operating parameters, and determine the adjustment ratio of the next monitoring cycle corresponding to the risk level assessment result; a parameter change rate determination module, which is used to acquire the second electrolyte concentration, second operating parameters, and second ambient temperature of the battery under monitoring when the monitoring time corresponding to the adjustment ratio of the next monitoring cycle is reached, and determine the electrolyte concentration change rate, operating parameter change rate, and ambient temperature change rate of the battery under monitoring based on the first electrolyte concentration, first operating parameters, first ambient temperature, second electrolyte concentration, second operating parameters, and second ambient temperature; and a state analysis module, which is used to adjust the preset electrolyte concentration change rate threshold and the preset operating parameter change rate threshold based on the ambient temperature change rate, and determine the state analysis result of the battery under monitoring based on the electrolyte concentration change rate, the adjustment result of the preset electrolyte concentration change rate threshold, the operating parameter change rate, and the adjustment result of the preset operating parameter change rate threshold. The aforementioned multimodal battery state analysis system solves the problems of inflexible monitoring methods and inaccurate state analysis results in existing technologies. By adjusting the monitoring cycle of the battery under test based on the first operating parameter and the rated operating parameter, and determining the rate of change of multiple parameters of the battery under test in the next monitoring cycle, the system performs state analysis on the battery under test based on the rate of change of multiple parameters. This achieves the goal of flexibly adjusting the battery state monitoring cycle, which is beneficial to the timeliness of battery fault state alarms. Furthermore, the accuracy of the battery state analysis results is improved through multimodal parameter analysis.

[0130] The multimodal battery state analysis system described in this application can be configured in a device, or in a component, integrated circuit, or chip within a terminal. The device can be a mobile electronic device or a non-mobile electronic device. For example, mobile electronic devices can be mobile phones, tablets, laptops, PDAs, in-vehicle electronic devices, wearable devices, ultra-mobile personal computers (UMPCs), netbooks, or personal digital assistants (PDAs), etc., while non-mobile electronic devices can be servers, network-attached storage (NAS), personal computers (PCs), televisions (TVs), ATMs, or self-service machines, etc. This application does not impose specific limitations.

[0131] The multimodal battery state analysis system in this application embodiment can be an operating system. This operating system can be Android, iOS, or other possible operating systems; this application embodiment does not specifically limit it.

[0132] The battery state analysis system based on multimodal operation provided in this application can realize the various processes implemented in the above-described method embodiments. To avoid repetition, these processes will not be described again here.

[0133] like Figure 6 As shown, this application embodiment also provides an electronic device 600, including a processor 601, a memory 602, and a program or instructions stored in the memory 602 and executable on the processor 601. When the program or instructions are executed by the processor 601, they implement the various processes of the above-described embodiment of a multimodal battery state analysis method and achieve the same technical effect. To avoid repetition, they will not be described again here.

[0134] It should be noted that the electronic devices in the embodiments of this application include the mobile electronic devices and non-mobile electronic devices described above.

[0135] This application also provides a readable storage medium storing a program or instructions. When the program or instructions are executed by a processor, they implement the various processes of the above-described embodiment of a multimodal battery state analysis method and achieve the same technical effect. To avoid repetition, they will not be described again here.

[0136] The processor is the processor in the electronic device described in the above embodiments. The readable storage medium includes computer-readable storage media, such as computer read-only memory (ROM), random access memory (RAM), magnetic disk, or optical disk.

[0137] This application also provides a program product including program code. When the program product is run on a computer device, the program code causes the computer device to perform the steps of the methods described above according to various exemplary embodiments of this application. For example, the computer device can execute a multimodal battery state analysis method described in the embodiments of this application. The program product can be implemented using any combination of one or more readable media.

[0138] It should be noted that, in this document, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or system that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or system. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or system that includes that element. Furthermore, it should be noted that the scope of the methods and systems in the embodiments of this application is not limited to performing functions in the order shown or discussed, but may also include performing functions substantially simultaneously or in the reverse order, depending on the functions involved. For example, the described methods may be performed in a different order than described, and various steps may be added, omitted, or combined. Additionally, features described with reference to certain examples may be combined in other examples.

[0139] Through the above description of the embodiments, those skilled in the art can clearly understand that the methods of the above embodiments can be implemented by means of software plus necessary general-purpose hardware platforms. Of course, they can also be implemented by hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, can be embodied in the form of a computer software product. This computer software product is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk) and includes several instructions to cause a terminal (which may be a mobile phone, computer, server, or network device, etc.) to execute the methods described in the various embodiments of this application.

[0140] The embodiments of this application have been described above with reference to the accompanying drawings. However, this application is not limited to the specific embodiments described above. The specific embodiments described above are merely illustrative and not restrictive. Those skilled in the art can make many other forms under the guidance of this application without departing from the spirit and scope of the claims, and all of these forms are within the protection scope of this application.

[0141] The above description is merely a preferred embodiment and the technical principles employed in this application. This application is not limited to the specific embodiments described herein, and various obvious changes, readjustments, and substitutions that can be made by those skilled in the art will not depart from the scope of protection of this application. Therefore, although this application has been described in detail through the above embodiments, this application is not limited to the above embodiments, and may include more other equivalent embodiments without departing from the concept of this application, the scope of which is determined by the scope of the claims.

Claims

1. A multimodal battery state analysis method, characterized in that, The method includes: The system acquires the first electrolyte concentration, first operating parameters, and first ambient temperature of the battery under monitoring in real time. Based on the first operating parameters and rated operating parameters, the system assesses the risk level of the battery under monitoring and determines the adjustment ratio for the next monitoring cycle corresponding to the risk level assessment result. The first operating parameters include multiple first basic operating parameters and the cumulative number of charging times corresponding to each first basic operating parameter. The system has multiple first electrolyte concentrations and multiple first ambient temperatures. When the monitoring time corresponding to the adjustment ratio of the next monitoring cycle is reached, the second electrolyte concentration, second operating parameters, and second ambient temperature of the battery to be monitored are obtained. The multiple first basic operating parameters are filtered according to the cumulative number of charging times and the preset benchmark charging times to obtain multiple benchmark operating parameters. The operating timestamp corresponding to each benchmark operating parameter is determined, the electrolyte timestamp corresponding to each first electrolyte concentration and the ambient temperature timestamp corresponding to each first ambient temperature are determined. The multiple first electrolyte concentrations and multiple first ambient temperatures are filtered according to the operating timestamp, the electrolyte timestamp and the ambient temperature timestamp respectively for benchmark electrolyte concentration and benchmark ambient temperature. The electrolyte concentration change rate, operating parameter change rate and ambient temperature change rate of the battery to be monitored are determined according to the benchmark operating parameters, the benchmark electrolyte concentration screening result, the benchmark ambient temperature screening result, the second electrolyte concentration, the second operating parameters and the second ambient temperature. Based on the ambient temperature change rate, the preset electrolyte concentration change rate threshold and the preset operating parameter change rate threshold are adjusted respectively. The state analysis result of the battery to be monitored is determined according to the electrolyte concentration change rate, the preset electrolyte concentration change rate threshold adjustment result, the operating parameter change rate and the preset operating parameter change rate threshold adjustment result.

2. The battery state analysis method based on multimodal characteristics according to claim 1, characterized in that, The reference operating parameters include multiple first battery reference operating parameters and reference battery internal resistance values, and the second operating parameters include multiple second battery basic operating parameters and second battery internal resistance values. The step of determining the electrolyte concentration change rate, operating parameter change rate, and ambient temperature change rate of the battery to be monitored based on the benchmark operating parameters, benchmark electrolyte concentration screening results, benchmark ambient temperature screening results, second electrolyte concentration, second operating parameters, and second ambient temperature includes: The electrolyte concentration baseline value of the battery to be monitored is determined based on multiple baseline electrolyte concentrations in the baseline electrolyte concentration screening results, and the environmental baseline temperature value of the battery to be monitored is determined based on multiple baseline environmental temperatures in the baseline environmental temperature screening results. The aging coefficient of the battery to be monitored is determined based on the internal resistance value of the reference battery and the internal resistance value of the second battery. Based on the aging coefficient, the reference operating parameters of the multiple first batteries and the reference electrolyte concentration are corrected respectively to obtain multiple theoretical operating parameters and theoretical electrolyte concentration. The electrolyte concentration change rate, operating parameter change rate, and ambient temperature change rate of the battery to be monitored are determined based on the multiple theoretical operating parameters, the theoretical electrolyte concentration, the ambient reference temperature value, the multiple second battery basic operating parameters, the second electrolyte concentration, and the second ambient temperature.

3. The battery state analysis method based on multimodal characteristics according to claim 2, characterized in that, The theoretical operating parameters include multiple theoretical voltage values, multiple theoretical current values, and multiple theoretical operating temperature values. The basic operating parameters of the second battery include multiple second voltage values, multiple second current values, and multiple second operating temperature values. The rate of change of multiple parameters of the battery to be monitored includes the rate of change of electrical variable parameters and the rate of change of temperature gradient. The step of determining the electrolyte concentration change rate, operating parameter change rate, and ambient temperature change rate of the battery under monitoring based on the plurality of theoretical operating parameters, the theoretical electrolyte concentration, the ambient reference temperature value, the plurality of second battery basic operating parameters, the second electrolyte concentration, and the second ambient temperature includes: The theoretical voltage and current correlation is determined based on the plurality of theoretical voltage values ​​and the plurality of theoretical current values, and the theoretical temperature gradient is determined based on the plurality of theoretical operating temperature values; The second voltage-current correlation is determined based on the plurality of second voltage values ​​and the plurality of second current values, and the second temperature gradient is determined based on the plurality of second operating temperature values; The rate of change of the electrical variable parameters of the battery under monitoring is determined based on the theoretical voltage-current correlation and the second voltage-current correlation, and the rate of change of the temperature gradient of the battery under monitoring is determined based on the theoretical temperature gradient and the second temperature gradient.

4. The battery state analysis method based on multimodal characteristics according to claim 1, characterized in that, The first operating parameters include a first voltage value, a first current value, a first operating temperature value, and a first charging / discharging power; the rated operating parameters include a rated voltage value, a rated current value, and a rated operating temperature value. The risk level assessment of the battery to be monitored based on the first operating parameters and the rated operating parameters includes: The voltage deviation rate of the battery to be monitored is determined based on the first voltage value and the rated voltage value; the current deviation rate of the battery to be monitored is determined based on the first current value and the rated current value; and the operating temperature deviation rate of the battery to be monitored is determined based on the first operating temperature value and the rated operating temperature value. The risk assessment value of the battery under monitoring is calculated based on the influence weight of the preset parameter deviation rate, the voltage deviation rate, the current deviation rate, and the operating temperature deviation rate. The risk assessment value is then matched with a preset risk level comparison table to obtain the risk level assessment result of the battery under monitoring.

5. The battery state analysis method based on multimodal characteristics according to claim 4, characterized in that, The step of determining the operating temperature deviation rate of the battery to be monitored based on the first operating temperature value and the rated operating temperature value includes: The safe operating temperature of the battery to be monitored is determined based on a preset safe temperature ratio and the rated operating temperature, and the width of the high-risk operating temperature range of the battery to be monitored is determined based on the safe operating temperature and the rated operating temperature. The operating temperature deviation of the battery under monitoring is calculated based on the first operating temperature value and the safe operating temperature, and the operating temperature deviation rate of the battery under monitoring is determined based on the operating temperature deviation and the width of the high-risk operating temperature range.

6. The battery state analysis method based on multimodal characteristics according to claim 1, characterized in that, The adjustment of the preset electrolyte concentration change rate threshold and the preset operating parameter change rate threshold based on the ambient temperature change rate includes: Calculate the deviation between the rate of change of ambient temperature and the rate of change of a preset benchmark ambient temperature, and determine the electrolyte concentration change rate threshold adjustment coefficient and the operating parameter change rate threshold adjustment coefficient corresponding to the rate of change deviation; The preset electrolyte concentration change rate threshold is adjusted based on the electrolyte concentration change rate threshold adjustment coefficient to obtain the preset electrolyte concentration change rate threshold adjustment result. The preset operating parameter change rate threshold is then adjusted based on the operating parameter change rate threshold adjustment coefficient to obtain the preset operating parameter change rate threshold adjustment result.

7. A multimodal battery state analysis system, characterized in that, The system includes: The monitoring cycle adjustment module is used to acquire the first electrolyte concentration, first operating parameters, and first ambient temperature of the battery under monitoring in real time, assess the risk level of the battery under monitoring based on the first operating parameters and rated operating parameters, and determine the adjustment ratio of the next monitoring cycle corresponding to the risk level assessment result. The first operating parameters include multiple first basic operating parameters and the cumulative number of charging times corresponding to each first basic operating parameter. The number of first electrolyte concentrations is multiple, and the number of first ambient temperatures is multiple. The parameter change rate determination module is used to acquire the second electrolyte concentration, second operating parameters, and second ambient temperature of the battery to be monitored when the monitoring time corresponding to the adjustment ratio of the next monitoring cycle is reached; to filter the multiple first basic operating parameters according to the cumulative number of charging times and the preset benchmark charging times to obtain multiple benchmark operating parameters; to determine the operating timestamp corresponding to each benchmark operating parameter; to determine the electrolyte timestamp corresponding to each first electrolyte concentration and the ambient temperature timestamp corresponding to each first ambient temperature; to perform benchmark electrolyte concentration filtering and benchmark ambient temperature filtering on the multiple first electrolyte concentrations and multiple first ambient temperatures according to the operating timestamp, the electrolyte timestamp, and the ambient temperature timestamp; and to determine the electrolyte concentration change rate, operating parameter change rate, and ambient temperature change rate of the battery to be monitored according to the benchmark operating parameters, the benchmark electrolyte concentration filtering results, the benchmark ambient temperature filtering results, the second electrolyte concentration, the second operating parameters, and the second ambient temperature. The state analysis module is used to adjust the preset electrolyte concentration change rate threshold and the preset operating parameter change rate threshold based on the ambient temperature change rate, and to determine the state analysis result of the battery to be monitored based on the electrolyte concentration change rate, the adjustment result of the preset electrolyte concentration change rate threshold, the operating parameter change rate, and the adjustment result of the preset operating parameter change rate threshold.

8. An electronic device, characterized in that, It includes a processor, a memory, and a program or instructions stored in the memory and running on the processor, wherein when the program or instructions are executed by the processor, they implement the steps of the multimodal battery state analysis method as described in any one of claims 1-6.

9. A readable storage medium, characterized in that, The readable storage medium stores a program or instructions that, when executed by a processor, implement the steps of the multimodal battery state analysis method as described in any one of claims 1-6.

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