Battery management system and method based on current sensor

Abstract

The invention relates to the technical field of battery management, in particular to a battery management system and method based on a current sensor, and the method comprises the steps: obtaining current signal data and a temperature rise curve of the current sensor in a battery operation process; evaluating the thermal stress accumulation risk of the current sensor based on the temperature rise curve of the current sensor; evaluating a potential damage risk of the current sensor under the influence of thermal stress based on the current signal data and in combination with a thermal stress accumulation risk; acquiring battery characteristic parameters and current sensor characteristic parameters, and evaluating the scene precision matching degree of the current sensor and battery operation in combination with the potential damage risk; and judging whether the current sensor is suitable for a corresponding battery operation scene based on a scene precision matching degree evaluation result, and carrying out current sensor maintenance early warning. The thermal stress accumulation risk and the potential damage risk of the current sensor are quantified, and the stability and the safety of the battery management system are improved.

Description

Technical Field

[0001] This invention relates to the field of battery management technology, and in particular to a battery management system and method based on a current sensor. Background Technology

[0002] With the widespread application of new energy batteries in electric vehicles, energy storage systems, and other fields, increasingly higher requirements are being placed on the accuracy and reliability of Battery Management Systems (BMS). As a core measurement element in the BMS, the current sensor is responsible for monitoring and providing feedback on the current state within the BMS, thereby enabling precise control, safety protection, and efficient operation of the BMS.

[0003] Existing technologies for evaluating the operational status of current sensors often rely on static calibration or single current signal monitoring, failing to fully consider the impact of thermal stress on the current sensor in actual operating environments. For example, invention patent application CN117310588A discloses a fault diagnosis method for a current sensor, including the following steps: establishing an equivalent circuit model for battery charging and discharging; obtaining the total internal resistance of the power battery based on the equivalent circuit model; recording the change in total battery voltage when the power battery transitions from a static state to a charging / discharging state, and the charging / discharging circuit current collected by the current sensor; obtaining the instantaneous current of the power battery when it transitions from a static state to a charging / discharging state based on the change in total battery voltage and the total internal resistance of the power battery; setting a diagnostic threshold based on the charging / discharging circuit current; comparing the instantaneous current with the diagnostic threshold; and diagnosing the fault condition of the current sensor based on the comparison result.

[0004] However, current sensors are subject to thermal stress during long-term operation. For example, when a current sensor is subjected to high temperatures or rapid temperature changes for an extended period, the core material will degrade or saturate, leading to increased current measurement deviation and affecting the reliability and safety of the battery management system. At the same time, existing technologies lack a mechanism to match the potential damage risk of the sensor with the accuracy requirements of the battery operating scenario. As a result, in high-precision control or protection scenarios, the current sensor cannot meet the measurement accuracy requirements, increasing the safety risks of the battery management system. Summary of the Invention

[0005] To overcome the defects and shortcomings of existing technologies, this invention provides a battery management system and method based on a current sensor. By quantifying the thermal stress accumulation risk and potential damage risk of the current sensor, and evaluating the scenario accuracy matching degree of the current sensor in combination with the current accuracy requirements of the battery operation scenario, the stability and safety of the battery management system are improved.

[0006] To achieve the above objectives, the present invention adopts the following technical solution: In a first aspect, the present invention provides a battery management method based on a current sensor, comprising: Acquire current signal data and current sensor temperature rise curve during battery operation; The thermal stress accumulation risk of the current sensor is assessed based on the temperature rise curve of the current sensor. The thermal stress accumulation risk includes the thermal shock effect factor and the thermal stress accumulation effect factor. Based on current signal data and combined with thermal stress accumulation risk analysis, the core saturation state of the current sensor is assessed to evaluate the potential damage risk of the current sensor under the influence of thermal stress. By acquiring battery characteristic parameters and current sensor characteristic parameters, and combining them with potential damage risks, the accuracy matching between the current sensor and the battery operating scenario is evaluated. Based on the scene accuracy matching degree evaluation results, determine whether the current sensor is suitable for the corresponding battery operation scene and issue a current sensor maintenance warning.

[0007] Furthermore, the assessment of the thermal stress accumulation risk of the current sensor includes: The temperature gradient of the current sensor is extracted based on the temperature rise curve of the current sensor, and the thermal shock effect factor is calculated to characterize the impact of rapid temperature changes on the current sensor. The thermal stress accumulation effect factor is calculated based on the temperature rise curve of the current sensor and the material degradation rate function, which is used to characterize the long-term degradation degree of the sensor under high temperature. The material degradation rate function is the Arrhenius function. The thermal stress accumulation risk coefficient of the current sensor is obtained by weighted summation of the thermal shock effect factor and the thermal stress accumulation effect factor, which is used to characterize the thermal stress accumulation risk of the current sensor.

[0008] Furthermore, the formula for calculating the thermal stress accumulation effect factor is as follows: ; In the formula This represents the activation energy of the magnetic core material in a current sensor. Represents the molar gas constant. express The absolute temperature of the current sensor at any given time. Indicates the duration of the monitoring period. This represents the thermal stress accumulation effect factor.

[0009] Furthermore, the assessment of the potential damage risk of the current sensor under thermal stress includes: Acquire current signal data during battery operation and the thermal stress accumulation risk coefficient of the current sensor, and construct a thermal stress penalty factor: ; In the formula This represents the cumulative risk coefficient of thermal stress. Indicates the cumulative risk weight of thermal stress. Indicates the thermal stress penalty factor; The core saturation current threshold of the current sensor is obtained and corrected by the thermal stress penalty factor to obtain the corrected core saturation current threshold. The monitoring period is divided into monitoring windows, and the proportion of the current peak value exceeding the corrected core saturation current threshold within the monitoring window is used as the core oversaturation factor. The maximum core oversaturation factor for each monitoring window is determined as follows: ; In the formula express Current signal data at time t, This indicates the corrected core saturation current threshold. Indicates the maximum core oversaturation factor; The average value of the maximum core supersaturation factor of all monitoring windows within the monitoring period is used as the potential damage risk coefficient to characterize the potential damage risk of the current sensor under the influence of thermal stress.

[0010] Furthermore, the assessment of the accuracy matching between the current sensor and the battery operating scenario includes: Obtain battery characteristic parameters and current sensor characteristic parameters, and obtain the potential damage risk coefficient of the current sensor; Based on battery characteristic parameters, the current accuracy requirement value corresponding to different battery operating scenarios is extracted, and the maximum current accuracy requirement value is used as the current accuracy requirement threshold. The battery operating scenarios include SOC estimation scenario, SOH estimation scenario, fast charging control scenario, and overcurrent protection scenario. The initial current accuracy value of the current sensor is extracted based on the characteristic parameters of the current sensor, and the estimated current accuracy value of the current sensor under the influence of potential damage risk is determined by combining the potential damage risk coefficient. The cosine similarity between the estimated current accuracy value and the current accuracy requirement threshold is used as the scenario accuracy matching coefficient to characterize the degree of scenario accuracy matching between the current sensor and the battery operation.

[0011] Furthermore, the provision for providing maintenance warnings for the current sensor includes: Obtain the scene accuracy matching coefficient between the current sensor and the battery operation. When the scene accuracy matching coefficient is less than the preset scene accuracy matching threshold, issue a current sensor maintenance warning; when the scene accuracy matching coefficient is greater than or equal to the preset scene accuracy matching threshold, do not issue a current sensor maintenance warning.

[0012] Secondly, the present invention provides a battery management system based on a current sensor, comprising: The data acquisition module is used to acquire current signal data and current sensor temperature rise curves during battery operation. The thermal stress accumulation risk assessment module is used to assess the thermal stress accumulation risk of the current sensor based on the temperature rise curve of the current sensor. The thermal stress accumulation risk includes the thermal shock effect factor and the thermal stress accumulation effect factor. The potential damage risk assessment module is used to assess the potential damage risk of the current sensor under the influence of thermal stress based on the magnetic core saturation state of the current sensor and combined with thermal stress accumulation risk analysis. The scenario accuracy matching module is used to acquire battery characteristic parameters and current sensor characteristic parameters, and combine them with potential damage risks to evaluate the scenario accuracy matching degree between the current sensor and the battery operation. The maintenance early warning module is used to determine whether the current sensor is suitable for the corresponding battery operating scenario based on the scenario accuracy matching degree evaluation results and to issue a maintenance early warning for the current sensor.

[0013] Thirdly, the present invention provides an electronic device, comprising: a processor and a memory, wherein the memory stores a computer program that can be called by the processor, and the processor executes a battery management method based on a current sensor by calling the computer program stored in the memory.

[0014] Fourthly, the present invention provides a computer-readable storage medium storing instructions that, when executed on a computer, cause the computer to perform a battery management method based on a current sensor.

[0015] Compared with the prior art, the present invention has the following advantages and beneficial effects: This invention quantifies the risk of thermal stress accumulation and potential damage to the current sensor by comprehensively analyzing the temperature rise curve, core saturation state, and current signal of the current sensor. It also assesses the accuracy matching degree of the sensor to the current sensor in the battery operation scenario, thereby realizing dynamic health monitoring and maintenance early warning of the current sensor. While effectively improving the accuracy of current measurement, it reduces the potential damage risk of the current sensor caused by thermal stress or overload, ensuring the safety and stability of the battery management system. Attached Figure Description

[0016] Other features, objects, and advantages of the invention will become more apparent from the following detailed description of non-limiting embodiments with reference to the accompanying drawings: Figure 1 This is a schematic flowchart of a battery management method based on a current sensor provided in an embodiment of the present invention; Figure 2This is a schematic diagram of the structure of a battery management system based on a current sensor provided in an embodiment of the present invention; Figure 3 This is a schematic diagram of the structure of the electronic device provided in an embodiment of the present invention. Detailed Implementation

[0017] The technical solution of the present invention will be described in detail below with reference to the accompanying drawings and specific embodiments. It should be understood that the embodiments of the present invention and the specific features in the embodiments are detailed descriptions of the technical solution of the present invention, rather than limitations thereof. In the absence of conflict, the embodiments of the present invention and the technical features in the embodiments can be combined with each other.

[0018] Please see Figure 1 , Figure 1 This is a schematic diagram of the overall process of the battery management method based on a current sensor provided in an embodiment of the present invention, which specifically includes the following steps: S100: Acquire current signal data and current sensor temperature rise curve during battery operation; S200. The thermal stress accumulation risk of the current sensor is evaluated based on the temperature rise curve of the current sensor. The thermal stress accumulation risk includes the thermal shock effect factor and the thermal stress accumulation effect factor. The thermal stress accumulation risk of a current sensor refers to the potential performance degradation and damage caused by the thermal load and its cumulative effect due to temperature changes during battery operation. Thermal stress accumulation risk mainly includes two core aspects: thermal shock effect and thermal stress accumulation effect. Thermal shock effect originates from rapid temperature changes; for example, high-current charging and discharging of the battery causes a sharp temperature gradient inside the sensor. Differences in the thermal expansion coefficients of different materials can generate instantaneous mechanical stress, potentially leading to micro-cracks in the magnetic core, aging of the coil insulation, or fatigue at solder joints, directly affecting the mechanical integrity and short-term stability of the current sensor. Thermal stress accumulation effect focuses on the continuous degradation of materials under long-term high-temperature environments. For example, when a current sensor operates at sustained high temperatures, the permeability of its magnetic core material will decrease, and the coil resistance will drift. This degradation follows the Arrhenius model, meaning that rising temperatures exponentially accelerate the material aging process, leading to a permanent decrease in the accuracy and a shortened lifespan of the current sensor. The assessment of the thermal stress accumulation risk of a current sensor includes: The temperature gradient of the current sensor is extracted based on its temperature rise curve, and the thermal shock effect factor is calculated to characterize the impact of rapid temperature changes on the current sensor. The formula for calculating the thermal shock effect factor is as follows: ; In the formula express Temperature of the current sensor at any given time. This represents the instantaneous rate of temperature change, describing how quickly the temperature of the current sensor changes at a given moment. The absolute value of the rate of temperature change is used to represent the thermal shock stress, regardless of whether the temperature rises or falls rapidly. Therefore, the absolute value is used to represent the impact intensity. This represents the maximum allowable rate of temperature change of the magnetic core material of the current sensor. Using this maximum rate of temperature change as a reference value, the actual temperature change is normalized, dimensionless effects are eliminated, and the thermal shock effect factor becomes dimensionless. Indicates the duration of the monitoring period. This indicates the accumulation of instantaneous thermal shock effects over the entire monitoring period. The rapid temperature changes experienced by the current sensor throughout the operating cycle generate accumulated thermal stress. The integral sums the shock effects at each moment to reflect the overall cumulative intensity of thermal shock, and then the average thermal shock effect per unit time is obtained through homogenization. Indicates the thermal shock effect factor; The thermal stress accumulation effect factor is calculated based on the temperature rise curve of the current sensor and the material degradation rate function, which is used to characterize the long-term degradation degree of the sensor under high temperature. The material degradation rate function is the Arrhenius function. The thermal stress accumulation risk coefficient of the current sensor is obtained by weighted summation of the thermal shock effect factor and the thermal stress accumulation effect factor, which is used to characterize the thermal stress accumulation risk of the current sensor. The formula for calculating the thermal stress accumulation effect factor is: ; In the formula This represents the activation energy of the magnetic core material in a current sensor. Represents the molar gas constant. express The absolute temperature of the current sensor at any given time. Indicates the duration of the monitoring period. This represents the thermal stress accumulation effect factor.

[0019] S300: Based on current signal data and combined with thermal stress accumulation risk analysis, assess the core saturation state of the current sensor and evaluate the potential damage risk of the current sensor under the influence of thermal stress. The saturation state of a current sensor's magnetic core refers to the situation where, when the current in the current sensor is too large, the magnetic flux density of the core material approaches or reaches the material's saturation magnetic flux density. This causes the core to lose its linear magnetization characteristics, resulting in a deviation between the sensor's output signal and the actual current. Specifically, when the actual current exceeds the core's saturation current threshold, the sensor's measurement performance will drastically decrease, exhibiting significant distortion or even measurement failure. In battery management, the battery's operating current fluctuates significantly under scenarios such as fast charging and overcurrent protection. When the current signal exceeds the core's saturation current threshold, the current sensor's output will deviate from the true current value, potentially even causing the overcurrent protection function to fail. This can be addressed by extracting the current signal exceeding the saturation threshold. The value is used to construct a core oversaturation factor by calculating its proportion, and the maximum degree of oversaturation is further determined to quantitatively assess the severity of the core entering the nonlinear region. Meanwhile, thermal stress is a significant accelerating factor affecting the core saturation state. When a current sensor is exposed to high temperatures for extended periods or experiences frequent temperature abrupt changes, its core and insulation materials degrade, leading to a decrease in the core saturation current threshold, meaning saturation is triggered at lower current levels. By introducing a thermal stress accumulation risk coefficient and constructing a thermal stress penalty factor, the thermal stress effect is coupled with the core oversaturation degree, thereby establishing a potential damage risk assessment model that better reflects actual operating conditions. The assessment of the potential damage risk of the current sensor under thermal stress includes: Acquire current signal data during battery operation and the thermal stress accumulation risk coefficient of the current sensor, and construct a thermal stress penalty factor: ; In the formula This represents the cumulative risk coefficient of thermal stress. This represents the cumulative risk weight of thermal stress, due to As thermal stress accumulates, it will continue to increase, but physically, the effect of thermal penalty cannot be amplified indefinitely. Therefore, the hyperbolic tangent function is used to transform what might otherwise be unbounded... Mapped to a finite interval, in embodiments of the present invention, The output range is This indicates that the heat penalty effect varies with... It increases but tends towards saturation, rather than growing indefinitely. Indicates the thermal stress penalty factor; The core saturation current threshold of the current sensor is obtained and corrected by a thermal stress penalty factor to obtain the corrected core saturation current threshold. In the formula This indicates the core saturation current threshold of the current sensor; The monitoring period is divided into monitoring windows, and the proportion of the current peak value exceeding the corrected core saturation current threshold within the monitoring window is used as the core oversaturation factor. The maximum core oversaturation factor for each monitoring window is determined as follows: ; In the formula express Current signal data at time t, This indicates the corrected core saturation current threshold. This represents the difference between the actual current and the corrected core saturation current threshold. When the difference is greater than 0, it indicates that the actual current has exceeded the corrected core saturation current threshold, and the core has reached an oversaturated state. When the difference is less than or equal to 0, it indicates that the saturation point has not been exceeded, and the core is operating in a safe region. This indicates the proportion exceeding the saturation point, used to quantify the degree of oversaturation. To make the output results more consistent with reality, a forced output is performed when the magnetic core of the current sensor is not oversaturated. When the magnetic core enters the supersaturation region, a specific supersaturation factor is output. Indicates the maximum core oversaturation factor; The average value of the maximum core supersaturation factor of all monitoring windows within the monitoring period is used as the potential damage risk coefficient to characterize the potential damage risk of the current sensor under the influence of thermal stress.

[0020] S400: Acquire battery characteristic parameters and current sensor characteristic parameters, and combine them with potential damage risks to evaluate the accuracy matching between the current sensor and the battery operating scenario. The core purpose of evaluating the accuracy matching between current sensors and battery operating scenarios is to ensure that current sensors can meet the corresponding accuracy requirements under different battery operating scenarios. Battery management systems have different accuracy requirements for current measurement in key application scenarios such as SOC (State of Charge) estimation, SOH (State of Health) estimation, fast charging control, and overcurrent protection. For example, SOC estimation requires long-term accumulation of current integrals, requiring current sensors with high zero-point stability; SOH estimation requires detecting minute current changes, requiring current sensors with high resolution; while fast charging control and overcurrent protection emphasize the accurate capture of large current surges by the current sensor. If the accuracy of the current sensor is insufficient to meet these requirements... Failing to meet scenario requirements will directly lead to deviations in battery management algorithms and even trigger battery system safety risks. In this process, the initial current accuracy of the current sensor can only reflect its ideal performance at the time of manufacture. However, in actual operation, its accuracy will gradually decay due to factors such as thermal stress, magnetic core saturation, and material aging. Therefore, introducing a potential damage risk coefficient to correct for the accuracy degradation of the current sensor under long-term operation or harsh conditions can yield a more realistic estimated current accuracy value. By comparing the estimated accuracy value with the current accuracy requirements under different battery operating scenarios, the adaptability of the sensor in a specific scenario is quantitatively reflected. The evaluation of the accuracy matching degree between the current sensor and the battery operating scenario includes: Obtain battery characteristic parameters and current sensor characteristic parameters, and obtain the potential damage risk coefficient of the current sensor; Based on battery characteristic parameters, the current accuracy requirement value corresponding to different battery operating scenarios is extracted, and the maximum current accuracy requirement value is used as the current accuracy requirement threshold. The battery operating scenarios include SOC estimation scenario, SOH estimation scenario, fast charging control scenario, and overcurrent protection scenario. The initial current accuracy value of the current sensor is extracted based on its characteristic parameters, and the estimated current accuracy value of the current sensor under the influence of potential damage risk is determined by combining the potential damage risk coefficient. The estimated current accuracy value... In the formula This indicates the initial current accuracy value. Indicates the potential damage risk coefficient; The cosine similarity between the estimated current accuracy value and the current accuracy requirement threshold is used as the scenario accuracy matching coefficient to characterize the degree of scenario accuracy matching between the current sensor and the battery operation.

[0021] S500: Based on the scene accuracy matching degree evaluation results, determine whether the current sensor is suitable for the corresponding battery operation scene and provide current sensor maintenance warning. By evaluating the accuracy matching between the current sensor and the battery operating scenario, potential hazards can be detected in a timely manner when sensor performance gradually degrades or environmental conditions become incompatible. This avoids problems such as estimation distortion or overcurrent protection failure due to decreased measurement accuracy. When the scenario accuracy matching coefficient falls below a threshold, a maintenance warning is triggered in a timely manner, thereby effectively reducing the safety risks caused by sensor failure. The current sensor maintenance warning includes: Obtain the scene accuracy matching coefficient between the current sensor and the battery operation. When the scene accuracy matching coefficient is less than the preset scene accuracy matching threshold, issue a current sensor maintenance warning; when the scene accuracy matching coefficient is greater than or equal to the preset scene accuracy matching threshold, do not issue a current sensor maintenance warning.

[0022] In this embodiment of the invention, the determination of parameters such as weighted weights, thermal stress cumulative risk weights, and preset scenario accuracy matching thresholds can be achieved by: constructing a dataset by acquiring current signal data, current sensor temperature rise curves, battery characteristic parameters, and current sensor characteristic parameters; substituting these into the dataset to calculate the thermal stress cumulative risk coefficient and scenario accuracy matching coefficient; simultaneously obtaining expert judgments on the degree of thermal stress cumulative risk and scenario accuracy matching; importing the calculated thermal stress cumulative risk coefficient, scenario accuracy matching coefficient, and judgment results into fitting software; and outputting the weighted weights, thermal stress cumulative risk weights, and preset scenario accuracy matching thresholds that meet the maximum judgment accuracy.

[0023] Please see Figure 2 , Figure 2 This is a schematic diagram of the structure of a battery management system based on a current sensor provided in an embodiment of the present invention, including: The data acquisition module 210 is used to acquire current signal data and current sensor temperature rise curve during battery operation. The thermal stress accumulation risk assessment module 220 is used to assess the thermal stress accumulation risk of the current sensor based on the temperature rise curve of the current sensor. The thermal stress accumulation risk includes the thermal shock effect factor and the thermal stress accumulation effect factor. The potential damage risk assessment module 230 is used to assess the potential damage risk of the current sensor under the influence of thermal stress based on the magnetic core saturation state of the current sensor and combined with thermal stress accumulation risk analysis. The scene accuracy matching module 240 is used to acquire battery characteristic parameters and current sensor characteristic parameters, and combine them with potential damage risks to evaluate the scene accuracy matching degree between the current sensor and the battery operation. The maintenance early warning module 250 is used to determine whether the current sensor is suitable for the corresponding battery operating scenario based on the scenario accuracy matching degree evaluation result and to issue a maintenance early warning for the current sensor.

[0024] In this embodiment of the invention, the thermal stress accumulation risk assessment module 220 is used to assess the thermal stress accumulation risk of the current sensor based on the temperature rise curve of the current sensor, including: The temperature gradient of the current sensor is extracted based on the temperature rise curve of the current sensor, and the thermal shock effect factor is calculated to characterize the impact of rapid temperature changes on the current sensor. The thermal stress accumulation effect factor is calculated based on the temperature rise curve of the current sensor and the material degradation rate function, which is used to characterize the long-term degradation degree of the sensor under high temperature. The material degradation rate function is the Arrhenius function. The thermal stress accumulation risk coefficient of the current sensor is obtained by weighted summation of the thermal shock effect factor and the thermal stress accumulation effect factor, which is used to characterize the thermal stress accumulation risk of the current sensor.

[0025] In this embodiment of the invention, the potential damage risk assessment module 230 is used to assess the potential damage risk of the current sensor under the influence of thermal stress based on current signal data and combined with thermal stress accumulation risk analysis of the magnetic core saturation state of the current sensor, including: Acquire current signal data during battery operation and thermal stress accumulation risk coefficient of current sensor, and construct thermal stress penalty factor; The core saturation current threshold of the current sensor is obtained and corrected by the thermal stress penalty factor to obtain the corrected core saturation current threshold. The monitoring period is divided into monitoring windows, and the proportion of the current peak value exceeding the corrected core saturation current threshold within the monitoring window is used as the core oversaturation factor. The maximum core oversaturation factor for each monitoring window is determined. The average value of the maximum core supersaturation factor of all monitoring windows within the monitoring period is used as the potential damage risk coefficient to characterize the potential damage risk of the current sensor under the influence of thermal stress.

[0026] In this embodiment of the invention, the scene accuracy matching module 240 is used to acquire battery characteristic parameters and current sensor characteristic parameters, and in conjunction with potential damage risks, to evaluate the scene accuracy matching degree between the current sensor and the battery operation, including: Obtain battery characteristic parameters and current sensor characteristic parameters, and obtain the potential damage risk coefficient of the current sensor; Based on battery characteristic parameters, the current accuracy requirement value corresponding to different battery operating scenarios is extracted, and the maximum current accuracy requirement value is used as the current accuracy requirement threshold. The battery operating scenarios include SOC estimation scenario, SOH estimation scenario, fast charging control scenario, and overcurrent protection scenario. The initial current accuracy value of the current sensor is extracted based on the characteristic parameters of the current sensor, and the estimated current accuracy value of the current sensor under the influence of potential damage risk is determined by combining the potential damage risk coefficient. The cosine similarity between the estimated current accuracy value and the current accuracy requirement threshold is used as the scenario accuracy matching coefficient to characterize the degree of scenario accuracy matching between the current sensor and the battery operation.

[0027] In this embodiment of the invention, the maintenance early warning module 250 is used to determine whether the current sensor is suitable for the corresponding battery operating scenario based on the scenario accuracy matching degree evaluation result and to issue a current sensor maintenance early warning, including: Obtain the scene accuracy matching coefficient between the current sensor and the battery operation. When the scene accuracy matching coefficient is less than the preset scene accuracy matching threshold, issue a current sensor maintenance warning; when the scene accuracy matching coefficient is greater than or equal to the preset scene accuracy matching threshold, do not issue a current sensor maintenance warning.

[0028] The parameters and steps for implementing the corresponding functions of each unit module in the current sensor-based battery management system of the present invention described above can be referred to the parameters and steps in the embodiments of the current sensor-based battery management method described above, and will not be repeated here.

[0029] Please refer to Figure 3 The present invention also provides an electronic device 300, including a memory 310, a processor 320, and a communication bus 330; the memory 310 and the processor 320 are connected via the communication bus 330. The memory 310 stores a battery management method based on a current sensor, which can be loaded and executed by the processor 320 as provided in the above embodiments.

[0030] The memory 310 can be used to store instructions, programs, code, code sets, or instruction sets. The memory 310 may include a program storage area and a data storage area. The program storage area may store instructions for implementing an operating system, instructions for at least one function, and instructions for implementing the current sensor-based battery management method provided in the above embodiments, etc. The data storage area may store data involved in the current sensor-based battery management method provided in the above embodiments, etc.

[0031] Processor 320 may include one or more processing cores. Processor 320 executes instructions, programs, code sets, or instruction sets stored in memory 310, and calls data stored in memory 310 to perform various functions and process data according to the present invention. Processor 320 may be at least one of the following: Application Specific Integrated Circuit (ASIC), Digital Signal Processor (DSP), Digital Signal Processing Device (DSPD), Programmable Logic Device (PLD), Field Programmable Gate Array (FPGA), Central Processing Unit (CPU), Controller, Microcontroller, and Microprocessor. It is understood that, for different devices, the electronic devices used to implement the functions of processor 320 may also be other types, and the embodiments of the present invention do not specifically limit this.

[0032] The communication bus 330 may include a path for transmitting information between the aforementioned components. The communication bus 330 may be a PCI (Peripheral Component Interconnect) bus or an EISA (Extended Industry Standard Architecture) bus, etc. The communication bus 330 can be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 3 The symbol is represented by a single double arrow, but this does not mean that there is only one bus or one type of bus.

[0033] This invention provides a computer-readable storage medium storing a computer program that can be loaded by a processor and executed as described in the above embodiments, which is a battery management method based on a current sensor.

[0034] In this embodiment of the invention, the computer-readable storage medium can be a tangible device that holds and stores instructions used by an instruction execution device. The computer-readable storage medium can be, but is not limited to, an electrical storage device, a magnetic storage device, an optical storage device, an electromagnetic storage device, a semiconductor storage device, or any combination thereof. Specifically, the computer-readable storage medium can be a portable computer disk, a hard disk, a USB flash drive, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), lectern random access memory (SRAM), portable compact disc read-only memory (CD-ROM), digital multifunction disc (DVD), memory stick, floppy disk, optical disk, magnetic disk, mechanical encoding device, or any combination thereof.

[0035] The terms “comprising,” “including,” or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article, or apparatus.

[0036] The above description is merely a preferred embodiment of the present invention and an explanation of the technical principles employed. Those skilled in the art should understand that the scope of this application is not limited to the technical solutions formed by specific combinations of the above-described technical features, but should also cover other technical solutions formed by arbitrary combinations of the above-described technical features or their equivalents without departing from the foregoing concept. For example, technical solutions formed by substituting the above-described features with (but not limited to) technical features with similar functions claimed in this invention.

Claims

1. A battery management method based on a current sensor, characterized in that, include: Acquire current signal data and current sensor temperature rise curve during battery operation; The thermal stress accumulation risk of the current sensor is assessed based on the temperature rise curve of the current sensor. The thermal stress accumulation risk includes the thermal shock effect factor and the thermal stress accumulation effect factor. Based on current signal data and combined with thermal stress accumulation risk analysis, the core saturation state of the current sensor is assessed to evaluate the potential damage risk of the current sensor under the influence of thermal stress. By acquiring battery characteristic parameters and current sensor characteristic parameters, and combining them with potential damage risks, the accuracy matching between the current sensor and the battery operating scenario is evaluated. Based on the scene accuracy matching degree evaluation results, determine whether the current sensor is suitable for the corresponding battery operation scene and issue a current sensor maintenance warning.

2. The battery management method based on a current sensor according to claim 1, characterized in that, The assessment of the thermal stress accumulation risk of the current sensor includes: The temperature gradient of the current sensor is extracted based on the temperature rise curve of the current sensor, and the thermal shock effect factor is calculated to characterize the impact of rapid temperature changes on the current sensor. The thermal stress accumulation effect factor is calculated based on the temperature rise curve of the current sensor and the material degradation rate function, which is used to characterize the long-term degradation degree of the sensor under high temperature. The material degradation rate function is the Arrhenius function. The thermal stress accumulation risk coefficient of the current sensor is obtained by weighted summation of the thermal shock effect factor and the thermal stress accumulation effect factor, which is used to characterize the thermal stress accumulation risk of the current sensor.

3. The battery management method based on a current sensor according to claim 2, characterized in that, The formula for calculating the thermal stress accumulation effect factor is as follows: ； In the formula This represents the activation energy of the magnetic core material in a current sensor. Represents the molar gas constant. express The absolute temperature of the current sensor at any given time. Indicates the duration of the monitoring period. This represents the thermal stress accumulation effect factor.

4. The battery management method based on a current sensor according to claim 1, characterized in that, The assessment of the potential damage risk of the current sensor under thermal stress includes: Acquire current signal data during battery operation and the thermal stress accumulation risk coefficient of the current sensor, and construct a thermal stress penalty factor: ； In the formula This represents the cumulative risk coefficient of thermal stress. Indicates the cumulative risk weight of thermal stress. Indicates the thermal stress penalty factor; The core saturation current threshold of the current sensor is obtained and corrected by the thermal stress penalty factor to obtain the corrected core saturation current threshold. The monitoring period is divided into monitoring windows, and the proportion of the current peak value exceeding the corrected core saturation current threshold within the monitoring window is used as the core oversaturation factor. The maximum core oversaturation factor for each monitoring window is determined as follows: ； In the formula express Current signal data at time t, This indicates the corrected core saturation current threshold. Indicates the maximum core oversaturation factor; The average value of the maximum core supersaturation factor of all monitoring windows within the monitoring period is used as the potential damage risk coefficient to characterize the potential damage risk of the current sensor under the influence of thermal stress.

5. The battery management method based on a current sensor according to claim 1, characterized in that, The assessment of the accuracy matching between the current sensor and the battery operation scenario includes: Obtain battery characteristic parameters and current sensor characteristic parameters, and obtain the potential damage risk coefficient of the current sensor; Based on battery characteristic parameters, the current accuracy requirement value corresponding to different battery operating scenarios is extracted, and the maximum current accuracy requirement value is used as the current accuracy requirement threshold. The battery operating scenarios include SOC estimation scenario, SOH estimation scenario, fast charging control scenario, and overcurrent protection scenario. The initial current accuracy value of the current sensor is extracted based on the characteristic parameters of the current sensor, and the estimated current accuracy value of the current sensor under the influence of potential damage risk is determined by combining the potential damage risk coefficient. The cosine similarity between the estimated current accuracy value and the current accuracy requirement threshold is used as the scenario accuracy matching coefficient to characterize the degree of scenario accuracy matching between the current sensor and the battery operation.

6. The battery management method based on a current sensor according to claim 1, characterized in that, The aforementioned maintenance early warning for the current sensor includes: Obtain the scene accuracy matching coefficient between the current sensor and the battery operation. When the scene accuracy matching coefficient is less than the preset scene accuracy matching threshold, issue a current sensor maintenance warning; when the scene accuracy matching coefficient is greater than or equal to the preset scene accuracy matching threshold, do not issue a current sensor maintenance warning.

7. A battery management system based on a current sensor, used to implement the battery management method based on a current sensor according to any one of claims 1-6, characterized in that, The system includes: The data acquisition module is used to acquire current signal data and current sensor temperature rise curves during battery operation. The thermal stress accumulation risk assessment module is used to assess the thermal stress accumulation risk of the current sensor based on the temperature rise curve of the current sensor. The thermal stress accumulation risk includes the thermal shock effect factor and the thermal stress accumulation effect factor. The potential damage risk assessment module is used to assess the potential damage risk of the current sensor under the influence of thermal stress based on the magnetic core saturation state of the current sensor and combined with thermal stress accumulation risk analysis. The scenario accuracy matching module is used to acquire battery characteristic parameters and current sensor characteristic parameters, and combine them with potential damage risks to evaluate the scenario accuracy matching degree between the current sensor and the battery operation. The maintenance early warning module is used to determine whether the current sensor is suitable for the corresponding battery operating scenario based on the scenario accuracy matching degree evaluation results and to issue a maintenance early warning for the current sensor.

8. An electronic device, comprising: A processor and a memory, wherein the memory stores a computer program that can be called by the processor; characterized in that the processor executes the battery management method based on a current sensor as described in any one of claims 1-6 by calling the computer program stored in the memory.

9. A computer-readable storage medium, characterized in that, The device stores instructions that, when executed on a computer, cause the computer to perform the battery management method based on a current sensor as described in any one of claims 1-6.

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