Multi-dimensional comprehensive safety evaluation method and related device for energy storage power station

Abstract

The application discloses a kind of multi-dimension comprehensive safety evaluation method and related device of energy storage power station, belong to energy-saving, environmental protection, green and other electric power application field.The method comprises: extracting temperature difference, pressure difference and insulation characteristics by the safety evaluation data collected;Respectively according to temperature difference, pressure difference and insulation characteristics, calculate temperature difference, pressure difference and insulation safety score;According to the weight evaluation data collected, calculate the weight corresponding to temperature difference, pressure difference and insulation safety score;According to temperature difference safety score, pressure difference safety score, insulation safety score and the corresponding weight of each, calculate comprehensive safety index;According to comprehensive safety index, trigger corresponding risk early warning and disposal action.Adopting the present application can significantly improve the operation safety of the method or device for directly converting chemical energy into electrical energy, provide a solid safety guarantee for electric vehicle energy storage device manufacturing, new energy vehicle manufacturing and electric traction system, and is an important technical support in the field of new energy vehicle device and accessory manufacturing.

Description

Technical Field

[0001] This invention relates to the field of safe operation and maintenance technology for electrochemical energy storage systems, and more specifically, to a multi-dimensional comprehensive safety assessment method and related devices for energy storage power stations. Background Technology

[0002] Electrochemical energy storage power stations, with lithium-ion batteries at their core, are a typical example of methods or devices for directly converting chemical energy into electrical energy. They have been widely applied in power grid frequency regulation, peak shaving, and renewable energy consumption scenarios, and are a key component in building an energy-saving, environmentally friendly, and green power system. However, during long-term charging and discharging, the electrochemical parameters of batteries gradually deteriorate, easily leading to safety accidents such as thermal runaway. This poses a serious challenge to the full life-cycle management of batteries in fields such as electric vehicle energy storage device manufacturing and new energy vehicle manufacturing. Currently, the safety assessment methods for energy storage power stations have the following shortcomings: (1) Single evaluation dimension: Most systems only set threshold alarms based on a single indicator such as temperature or voltage, which cannot capture the deterioration process of multiple parameters coupled together. Temperature abnormality is often just a symptom, and insulation degradation or consistency deterioration may also lead to serious accidents. This limitation is particularly prominent in high dynamic load scenarios such as electric traction and electric vehicles and automotive motors, automotive electric drives, etc.

[0003] (2) The insulation resistance value assessment is rough: the insulation test is mostly based on absolute value comparison, without considering the asymmetry of the positive and negative electrode insulation and the influence of the relative humidity of the environment on the surface leakage current. Furthermore, it is not effectively integrated with the cell consistency index, making it difficult to meet the high-precision safety monitoring requirements of battery cells in the manufacturing of new energy vehicle devices and accessories.

[0004] (3) Fixed and rigid weights: Fixed weights cannot adapt to changes in the dominant risk factors throughout the battery life cycle, different operating conditions and environmental conditions, resulting in delayed assessments or false alarms, and lack of adaptive capabilities for the complex operating environment of electric vehicles.

[0005] (4) Lack of early warning linkage: The early warning signal only serves as a reminder and has not formed an adaptive linkage control with the thermal management, balancing system, power limiting and fire protection system. The response is not timely and cannot effectively ensure the stable operation of energy-saving, environmental protection and green power systems. Summary of the Invention

[0006] In view of the above-mentioned problems in the existing technology, the purpose of this invention is to provide a multi-dimensional comprehensive safety assessment method and related device for energy storage power stations. The use of this invention can significantly improve the operational safety of electrochemical energy storage power stations.

[0007] To solve the above problems, the technical solution adopted by the present invention is as follows: The first aspect of this invention provides a multi-dimensional comprehensive safety assessment method for energy storage power stations, the method comprising: Collect safety assessment data and weighted assessment data. The safety assessment data includes the temperature of all individual cells in the battery cluster, the voltage of all individual cells in the battery cluster, the current charge and discharge current, the average estimated internal resistance of the cluster, the ambient relative humidity, the insulation resistance of the DC bus positive terminal to ground and the insulation resistance of the negative terminal to ground. The weighted assessment data includes the ambient temperature, the ambient relative humidity, the charge and discharge rate and the battery health status. Temperature difference characteristics are extracted based on the temperature of all individual cells in the battery cluster; voltage difference characteristics are extracted based on the voltage of all individual cells in the battery cluster, the current charging and discharging current, and the average estimated internal resistance within the cluster; insulation characteristics are extracted based on the ambient relative humidity, the insulation resistance of the DC bus positive terminal to ground, and the insulation resistance of the DC bus negative terminal to ground. A temperature difference safety score is calculated based on the temperature difference characteristics, a pressure difference safety score is calculated based on the pressure difference characteristics, and an insulation safety score is calculated based on the insulation characteristics. The weights corresponding to the temperature difference safety score, the pressure difference safety score, and the insulation safety score are calculated based on the ambient temperature, ambient relative humidity, charge / discharge rate, and battery health status. A comprehensive safety index is calculated based on the temperature difference safety score and its corresponding weight, the pressure difference safety score and its corresponding weight, and the insulation safety score and its corresponding weight. The corresponding risk warning and response actions are triggered based on the comprehensive safety index.

[0008] In some examples, the temperature difference features include maximum temperature difference, temperature dispersion, and temperature difference change rate. Extracting temperature difference features based on the temperatures of all individual cells within the battery cluster includes: The maximum temperature difference is calculated based on the maximum and minimum temperatures of the individual cells. The temperature dispersion is calculated based on the average temperature of all individual cells in the battery cluster and the temperature of each individual cell. The rate of change of temperature difference is obtained by performing a univariate linear regression on temperature and time within a first fixed time window based on the temperatures of all individual cells in the battery cluster.

[0009] In some examples, the differential pressure characteristics include the maximum equivalent static differential pressure and the rate of change of differential pressure. Extracting the differential pressure characteristics based on the voltages of all individual cells within the battery cluster, the current charge / discharge current, and the estimated average internal resistance within the cluster includes: The equivalent resting voltage of each individual cell is calculated based on the voltage of all individual cells in the battery cluster, the current charge / discharge current, and the average estimated internal resistance of the cluster. The maximum equivalent static voltage difference is calculated based on the maximum and minimum equivalent static voltages of the individual cells. The rate of change of the voltage difference is obtained by performing a univariate linear regression on voltage and time within a second fixed time window based on the equivalent static voltages of all individual cells in the battery cluster.

[0010] In some examples, the insulation characteristics include parallel equivalent insulation resistance, and the ambient relative humidity, DC bus positive-to-ground insulation resistance, and negative-to-ground insulation resistance include: The original parallel equivalent insulation resistance value is determined based on the ratio of the product of the insulation resistance of the positive pole to ground and the insulation resistance of the negative pole to ground of the DC bus to the sum of the insulation resistance of the positive pole to ground and the insulation resistance of the negative pole to ground of the DC bus. Calculate the humidity compensation factor based on the ambient relative humidity and the reference humidity; The corrected parallel equivalent insulation resistance value is calculated based on the humidity compensation factor and the original parallel equivalent insulation resistance value.

[0011] In some examples, calculating the temperature difference safety score based on the temperature difference characteristics includes: The maximum temperature difference, the temperature dispersion, and the temperature difference change rate are respectively substituted into the first scoring function to calculate the static temperature difference amplitude score, the temperature dispersion score, and the temperature difference change rate score. The temperature difference safety score is calculated based on the static temperature difference amplitude score and its corresponding weight, the temperature dispersion score and its corresponding weight, and the temperature difference change rate score and its corresponding weight. The calculation of the differential pressure safety score based on the differential pressure characteristics includes: Substitute the maximum equivalent static pressure difference and the pressure difference change rate into the first scoring function to calculate the static pressure difference amplitude score and the pressure difference change rate score. The differential pressure safety score is calculated based on the static differential pressure amplitude score and the weight corresponding to the static differential pressure amplitude score, the differential pressure change rate score and the weight corresponding to the differential pressure change rate score; The calculation of the insulation safety score based on the insulation characteristics includes: Substituting the parallel equivalent insulation resistance value into the second scoring function yields the insulation safety score; The first scoring function is: , The second scoring function is: , in, For the maximum temperature difference hour, Preset temperature difference safety threshold , The preset temperature difference limit danger threshold , The preset temperature difference attenuation coefficient , Preset temperature difference shape index , Scoring the static temperature difference amplitude ; Temperature dispersion hour, Preset discreteness safety threshold , The preset dispersion limit danger threshold , The preset dispersion attenuation coefficient , The preset discrete shape index , Scoring the rate of change of temperature difference ; The absolute value of the rate of change of temperature difference hour, The preset safety threshold for the rate of temperature change. , The preset temperature difference change rate limit danger threshold , The preset temperature difference change rate attenuation coefficient , The preset temperature difference change rate shape index , Scoring the rate of change of temperature difference ; For the maximum equivalent static pressure difference hour, The preset equivalent differential pressure safety threshold , The preset equivalent differential pressure limit danger threshold , The preset differential pressure attenuation coefficient , Preset differential pressure shape index , Scoring of static differential pressure amplitude ; The absolute value of the rate of change of pressure difference hour, The preset safety threshold for differential pressure change rate , The preset differential pressure change rate limit danger threshold , The preset differential pressure change rate attenuation coefficient , The preset differential pressure change rate shape index , Scoring the rate of change of pressure difference ; Parallel equivalent insulation resistance hour, The preset insulation safety threshold , Preset insulation limit danger threshold , The preset insulation attenuation coefficient , Preset insulation shape index , Insulation safety rating .

[0012] In some examples, calculating the weights corresponding to the temperature difference safety score, the pressure difference safety score, and the insulation safety score based on the ambient temperature, ambient relative humidity, charge / discharge rate, and battery health status includes: Obtain the weights corresponding to the temperature difference safety score, the pressure difference safety score, and the insulation safety score under normal operating conditions; If the ambient temperature increases and the charge / discharge rate increases, then the weight corresponding to the temperature difference safety score is increased, and the weight corresponding to the pressure difference safety score and the weight corresponding to the insulation safety score are decreased. If the relative humidity of the environment increases, the weight corresponding to the insulation safety score will be increased. If the battery health status decreases, the weight corresponding to the differential pressure safety score is increased.

[0013] In some examples, the calculation of the comprehensive safety index based on the temperature difference safety score and its corresponding weight, the pressure difference safety score and its corresponding weight, and the insulation safety score and its corresponding weight includes: Obtain the continuous degradation timer corresponding to the temperature difference safety score, the continuous degradation timer corresponding to the pressure difference safety score, and the continuous degradation timer corresponding to the insulation safety score; The time accumulation penalty factor is calculated based on the preset time constant, preset control penalty speed, preset penalty lower limit, continuous degradation timer corresponding to the temperature difference safety score, continuous degradation timer corresponding to the pressure difference safety score, and continuous degradation timer corresponding to the insulation safety score. The comprehensive safety index is calculated based on the temperature difference safety score and its corresponding weight, the pressure difference safety score and its corresponding weight, the insulation safety score and its corresponding weight, and the cumulative penalty factor.

[0014] A second aspect of this invention provides a multi-dimensional comprehensive safety assessment device for energy storage power stations, the device comprising: The data acquisition unit is used to collect safety assessment data and weight assessment data. The safety assessment data includes the temperature of all individual cells in the battery cluster, the voltage of all individual cells in the battery cluster, the current charging and discharging current, the average estimated internal resistance in the cluster, the ambient relative humidity, the insulation resistance of the DC bus positive terminal to ground and the insulation resistance of the negative terminal to ground. The weight assessment data includes the ambient temperature, the ambient relative humidity, the charge and discharge rate and the battery health status. The feature extraction unit is used to extract temperature difference features based on the temperature of all individual cells in the battery cluster, extract voltage difference features based on the voltage of all individual cells in the battery cluster, the current charging and discharging current, and the average estimated internal resistance in the cluster, and extract insulation features based on the ambient relative humidity, the insulation resistance of the DC bus positive terminal to ground, and the insulation resistance of the DC bus negative terminal to ground. A safety score calculation unit is used to calculate a temperature difference safety score based on the temperature difference characteristics, a pressure difference safety score based on the pressure difference characteristics, and an insulation safety score based on the insulation characteristics. The weighting calculation unit is used to calculate the weights corresponding to the temperature difference safety score, the pressure difference safety score, and the insulation safety score based on the ambient temperature, ambient relative humidity, charge / discharge rate, and battery health status. The safety index calculation unit is used to calculate a comprehensive safety index based on the temperature difference safety score and the weight corresponding to the temperature difference safety score, the pressure difference safety score and the weight corresponding to the pressure difference safety score, and the insulation safety score and the weight corresponding to the insulation safety score. The early warning and response triggering unit is used to trigger corresponding risk warnings and response actions based on the comprehensive safety index.

[0015] A third aspect of the present invention provides an electronic device, including: a processor and a memory; The processor is connected to a memory, wherein the memory is used to store computer programs and the processor is used to invoke the computer programs to execute the method as described in the first aspect of the embodiments of the present invention.

[0016] A fourth aspect of the present invention provides a computer-readable storage medium storing a computer program, the computer program including program instructions, which, when executed by a processor, perform the method as described in the first aspect of the present invention.

[0017] Compared with the prior art, the beneficial effects of the present invention are as follows: (1) Existing technologies rely solely on single threshold alarms for temperature or voltage. This application extracts temperature difference characteristics based on the temperature of all individual cells within the battery cluster, voltage difference characteristics based on the voltage of all individual cells within the battery cluster, current charging / discharging current, and estimated average internal resistance within the cluster, and insulation characteristics based on ambient relative humidity, DC bus positive-to-ground insulation resistance, and negative-to-ground insulation resistance. Simultaneously, it incorporates temperature difference characteristics, voltage difference characteristics, and insulation characteristics into the evaluation system in parallel, enabling the capture of the chain-coupled degradation process of "insulation degradation leading to localized heating → temperature difference expansion → polarization intensification → voltage difference deterioration." This multi-dimensional monitoring mechanism is particularly important for identifying battery-induced faults under complex operating conditions such as electric vehicles, automotive motors, and automotive electric drives, significantly improving the ability to identify early warning signs of accidents.

[0018] (2) Existing insulation testing methods mostly compare absolute values, ignoring the effects of asymmetry and humidity. This application extracts insulation characteristics based on ambient relative humidity, DC bus positive-to-ground insulation resistance, and negative-to-ground insulation resistance. It can compensate for and correct surface leakage current caused by humidity, thereby accurately identifying "unipolar insulation degradation" or "false insulation alarms caused by humid environments". When calculating the comprehensive safety index, it is coupled with the characteristics of pressure difference and temperature difference to reflect the deteriorating relationship between insulation degradation and cell consistency, effectively solving the problem of insufficient insulation monitoring accuracy in the battery management system of new energy vehicle devices.

[0019] (3) The fixed weights in the existing technology cannot adapt to changes in operating conditions and aging stages. This application calculates the weights corresponding to the temperature difference, pressure difference, and insulation scores in real time based on ambient temperature, relative humidity, charge / discharge rate, and battery health status, instead of fixed weights. This dynamic weighting mechanism can adapt to the battery operating conditions and aging scenarios caused by the changing operating environment in the manufacturing of new energy vehicles and electric traction systems, so that the comprehensive safety index is always driven by the most dominant risk factors at present, which can reduce the false alarm and missed alarm rates.

[0020] (4) Existing early warning systems only provide a notification. This application triggers different levels of risk warnings and response actions based on a comprehensive safety index, enabling differentiated measures to be taken according to the current actual risk level, avoiding excessive intervention or insufficient response caused by a "one-size-fits-all" approach. This not only ensures the system safety of methods or devices used to directly convert chemical energy into electrical energy, but also takes into account the availability of energy storage power stations.

[0021] (5) In the existing technology, multiple parameters are presented independently, making it difficult for operation and maintenance personnel to make a comprehensive judgment. This application obtains a single comprehensive safety index by weighted integration of temperature difference score, pressure difference score and insulation score. The index has a continuous range of values, which can intuitively reflect the current overall safety level of the energy storage power station. It is easy to set a unified risk level threshold and easy to connect to the dispatch automation system or digital twin platform to achieve standardized management, providing strong support for the intelligent operation and maintenance of electric vehicle energy storage device manufacturing.

[0022] In summary, this invention, through multi-dimensional feature fusion and dynamic evaluation, can significantly improve the operational safety of electrochemical energy storage power stations, and comprehensively serve electric vehicles and other energy-saving, environmentally friendly, and green power application fields. Attached Figure Description

[0023] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0024] Figure 1 A flowchart illustrating a multi-dimensional comprehensive safety assessment method for an energy storage power station according to an embodiment of this application is shown. Figure 2 This invention provides a schematic diagram of the structure of a multi-dimensional comprehensive safety assessment device for an energy storage power station according to an embodiment of this application. Figure 3 A schematic diagram of the structure of a computer device provided in one embodiment of this application is shown. Detailed Implementation

[0025] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of this application.

[0026] Please refer to Figure 1 This document illustrates a flowchart of a multi-dimensional comprehensive safety assessment method for an energy storage power station according to an embodiment of this application. The method includes the following steps: Step 101: Collect safety assessment data and weight assessment data. The safety assessment data includes the temperature of all individual cells in the battery cluster, the voltage of all individual cells in the battery cluster, the current charge and discharge current, the average estimated internal resistance of the cluster, the ambient relative humidity, the insulation resistance of the DC bus positive terminal to ground and the insulation resistance of the negative terminal to ground. The weight assessment data includes the ambient temperature, the ambient relative humidity, the charge and discharge rate and the battery health status.

[0027] The safety assessment data consists of raw parameters that directly reflect the current safety status of the battery, used to calculate risk scores across three dimensions: temperature difference, pressure difference, and insulation. The weighted assessment data reflects the battery's operating environment, operating conditions, and degree of aging, and is used to dynamically adjust the proportion of these three scores in the final comprehensive index.

[0028] The battery cluster includes the following parameters: Temperature of all individual cells (each cell's temperature value); Voltage of all individual cells (each cell's terminal voltage); Current charge / discharge current (the total cluster current) (represented by positive and negative signs, e.g., positive for discharging, negative for charging); Estimated average internal resistance (average DC internal resistance estimated in real-time using voltage / current response); Relative humidity (percentage of humidity in the environment surrounding the battery cluster); DC bus positive-to-ground insulation resistance (equivalent resistance between the positive terminal and grounding point); and DC bus negative-to-ground insulation resistance (equivalent resistance between the negative terminal and grounding point).

[0029] Among them, ambient temperature refers to the external ambient temperature of the battery cluster, charge / discharge rate is the ratio of current to rated capacity, and battery health status is the percentage of current capacity / internal resistance relative to a new battery.

[0030] The above parameters can be obtained from the Battery Management System (BMS) or through other means, which are not limited here. The Battery Management System (BMS) is an electronic system responsible for real-time monitoring, protection, and management of batteries (especially lithium-ion battery packs).

[0031] Step 102: Extract temperature difference characteristics based on the temperature of all individual cells in the battery cluster; extract voltage difference characteristics based on the voltage of all individual cells in the battery cluster, the current charging and discharging current, and the average estimated internal resistance within the cluster; and extract insulation characteristics based on the ambient relative humidity, the insulation resistance of the DC bus positive terminal to ground, and the insulation resistance of the DC bus negative terminal to ground.

[0032] Specifically, the temperature difference characteristics include maximum temperature difference, temperature dispersion, and temperature difference change rate. Extracting the temperature difference characteristics based on the temperatures of all individual cells within the battery cluster includes: The maximum temperature difference is calculated based on the maximum and minimum temperatures of the individual cells. The temperature dispersion is calculated based on the average temperature of all individual cells in the battery cluster and the temperature of each individual cell. The rate of change of temperature difference is obtained by performing a univariate linear regression on temperature and time within a first fixed time window based on the temperatures of all individual cells in the battery cluster.

[0033] For example, the maximum temperature difference: ,in, Let be the temperature of the i-th individual cell within the battery cluster.

[0034] Temperature dispersion (standard deviation): ,in The average temperature of all individual cells within the battery cluster is denoted as , and n is the number of individual cells within the battery cluster.

[0035] Rate of change of temperature difference: ,in, For the first fixed time window Temperature difference within, first fixed time window It is preset, for example, it can be set to 60~300 seconds.

[0036] Specifically, the pressure difference characteristics include the maximum equivalent static pressure difference and the rate of change of pressure difference. The step of extracting the pressure difference characteristics based on the voltages of all individual cells within the battery cluster, the current charge / discharge current, and the estimated average internal resistance within the cluster includes: The equivalent resting voltage of each individual cell is calculated based on the voltage of all individual cells in the battery cluster, the current charge / discharge current, and the average estimated internal resistance of the cluster. The maximum equivalent static voltage difference is calculated based on the maximum and minimum equivalent static voltages of the individual cells. The rate of change of the voltage difference is obtained by performing a univariate linear regression on voltage and time within a second fixed time window based on the equivalent static voltages of all individual cells in the battery cluster.

[0037] For example, the equivalent resting voltage of a single battery cell: ,in, The voltage of the i-th individual cell within the battery cluster, This is the current charging / discharging current. Estimate the average internal resistance within the cluster corresponding to the i-th individual cell.

[0038] Maximum equivalent static pressure difference: .

[0039] Pressure differential change rate: The calculation method is the same as that for the rate of change of temperature difference. For the second fixed time window Temperature difference within, second fixed time window For a pre-set second fixed time window For example, 120 to 600 seconds can be selected.

[0040] Specifically, the insulation characteristics include parallel equivalent insulation resistance, and the ambient relative humidity, DC bus positive-to-ground insulation resistance, and negative-to-ground insulation resistance include: The original parallel equivalent insulation resistance value is determined based on the ratio of the product of the insulation resistance of the positive pole to ground and the insulation resistance of the negative pole to ground of the DC bus to the sum of the insulation resistance of the positive pole to ground and the insulation resistance of the negative pole to ground of the DC bus. Calculate the humidity compensation factor based on the ambient relative humidity and the reference humidity; The corrected parallel equivalent insulation resistance value is calculated based on the humidity compensation factor and the original parallel equivalent insulation resistance value.

[0041] Exemplary, original parallel equivalent insulation resistance values: ,in, The insulation resistance between the positive terminal of the DC bus and ground. It is the insulation resistance between the negative terminal of the DC bus and ground.

[0042] Humidity compensation factor: ,in, To compensate for the strength coefficient, As the baseline humidity, This refers to the relative humidity of the environment.

[0043] Corrected equivalent insulation resistance in parallel: .

[0044] As can be seen from the embodiments of this application, the temperature difference assessment includes three sub-dimensions: amplitude, dispersion, and rate of change, while the pressure difference assessment includes amplitude and rate of change, which can simultaneously capture three risk modes: static deviation, uneven distribution, and rapid deterioration.

[0045] It can also be seen that, in the embodiments of this application, during the differential pressure feature extraction process, the equivalent static differential pressure is estimated by internal resistance compensation to eliminate the interference of charging and discharging conditions on consistency evaluation; during the insulation resistance feature extraction process, a humidity compensation factor is introduced to improve the accuracy of insulation evaluation under high humidity conditions.

[0046] Step 103: Calculate the temperature difference safety score based on the temperature difference characteristics, calculate the pressure difference safety score based on the pressure difference characteristics, and calculate the insulation safety score based on the insulation characteristics.

[0047] The first scoring function is: , The second scoring function is: .

[0048] Specifically, the calculation of the temperature difference safety score based on the temperature difference characteristics includes: The maximum temperature difference, the temperature dispersion, and the temperature difference change rate are respectively substituted into the first scoring function to calculate the static temperature difference amplitude score, the temperature dispersion score, and the temperature difference change rate score. The temperature difference safety score is calculated based on the static temperature difference amplitude score and its corresponding weight, the temperature dispersion score and its corresponding weight, and the temperature difference change rate score and its corresponding weight.

[0049] in, For the maximum temperature difference hour, Preset temperature difference safety threshold , The preset temperature difference limit danger threshold , The preset temperature difference attenuation coefficient , Preset temperature difference shape index , Scoring the static temperature difference amplitude ;therefore: .

[0050] in, Temperature dispersion hour, Preset discreteness safety threshold , The preset dispersion limit danger threshold , The preset dispersion attenuation coefficient , The preset discrete shape index , Scoring the rate of change of temperature difference ;therefore: .

[0051] in, The absolute value of the rate of change of temperature difference hour, The preset safety threshold for the rate of temperature change. , The preset temperature difference change rate limit danger threshold , The preset temperature difference change rate attenuation coefficient , The preset temperature difference change rate shape index , Scoring the rate of change of temperature difference ;therefore: 。

[0052] The temperature difference safety score is a weighted composite of the above three components: , in, , , , They are respectively , , The corresponding weights, and their specific values, need to be adjusted based on the actual thermal characteristics of the battery cell. If the result calculated for any component is less than 10, then... Take the smaller value directly, and do not calculate according to the above formula.

[0053] Specifically, the calculation of the differential pressure safety score based on the differential pressure characteristics includes: Substitute the maximum equivalent static pressure difference and the pressure difference change rate into the first scoring function to calculate the static pressure difference amplitude score and the pressure difference change rate score. The differential pressure safety score is calculated based on the static differential pressure amplitude score and its corresponding weight, the differential pressure change rate score and its corresponding weight.

[0054] in, For the maximum equivalent static pressure difference hour, The preset equivalent differential pressure safety threshold , The preset equivalent differential pressure limit danger threshold , The preset differential pressure attenuation coefficient , Preset differential pressure shape index , Scoring of static differential pressure amplitude ;therefore: .

[0055] in, The absolute value of the rate of change of pressure difference hour, The preset safety threshold for differential pressure change rate , The preset differential pressure change rate limit danger threshold , The preset differential pressure change rate attenuation coefficient , The preset differential pressure change rate shape index , Scoring the rate of change of pressure difference ;therefore: .

[0056] The differential pressure safety score is a weighted composite of the two components mentioned above: in, , , They are respectively , The corresponding weights, and their specific values, need to be adjusted based on the actual thermal characteristics of the battery cell. If the result calculated for any component is less than 10, then... Take the smaller value directly, and do not calculate according to the above formula.

[0057] Specifically, calculating the insulation safety score based on the insulation characteristics includes: Substituting the parallel equivalent insulation resistance value into the second scoring function yields the insulation safety score.

[0058] in, Parallel equivalent insulation resistance hour, The preset insulation safety threshold , Preset insulation limit danger threshold , The preset insulation attenuation coefficient , Preset insulation shape index , Insulation safety rating .therefore: 。

[0059] As can be seen, in the embodiments of this application, the temperature difference, pressure difference and insulation resistance are all scored using an exponential decay function, and a shape index is introduced, which can truly reflect the physical characteristics that the risk increases sharply as the parameter gets closer to the danger boundary, thus solving the problem of insufficient discrimination of linear scoring.

[0060] Step 104: Calculate the weights corresponding to the temperature difference safety score, the pressure difference safety score, and the insulation safety score based on the ambient temperature, ambient relative humidity, charge / discharge rate, and battery health status.

[0061] Specifically, the step of calculating the weights corresponding to the temperature difference safety score, the pressure difference safety score, and the insulation safety score based on the ambient temperature, ambient relative humidity, charge / discharge rate, and battery health status includes: Obtain the weights corresponding to the temperature difference safety score, the pressure difference safety score, and the insulation safety score under normal operating conditions; If the ambient temperature increases and the charge / discharge rate increases, then the weight corresponding to the temperature difference safety score is increased, and the weight corresponding to the pressure difference safety score and the weight corresponding to the insulation safety score are decreased. If the relative humidity of the environment increases, the weight corresponding to the insulation safety score will be increased. If the battery health status decreases, the weight corresponding to the differential pressure safety score is increased.

[0062] For example, a temperature difference safety score can be given under normal operating conditions. Corresponding weights Differential pressure safety score Corresponding weights and insulation safety rating Corresponding weights Set an initial value, for example Then perform conditional judgment: If the ambient temperature increases and the charge / discharge rate increases, then increase , reduce and ; If the relative humidity of the environment increases, then increase ; If the battery health deteriorates, increase .

[0063] The aforementioned increases or decreases can be proportional, or they can occur after exceeding a certain threshold. For example, as the State of Health (SOH) of the battery decreases, the increase can be proportional. Alternatively, it can be that only after SOH is below 80% should the concentration be increased. The increase in value remains constant. No specific restrictions are imposed here.

[0064] As can be seen from the embodiments of this application, the weights of each dimension are adjusted in real time based on fuzzy inference, so that the security assessment always focuses on the current dominant risk, effectively reducing the false alarm rate and the false negative rate.

[0065] Step 105: Calculate the comprehensive safety index based on the temperature difference safety score and its corresponding weight, the pressure difference safety score and its corresponding weight, and the insulation safety score and its corresponding weight.

[0066] Specifically, the step of calculating the comprehensive safety index based on the temperature difference safety score and its corresponding weight, the pressure difference safety score and its corresponding weight, and the insulation safety score and its corresponding weight includes: Obtain the continuous degradation timer corresponding to the temperature difference safety score, the continuous degradation timer corresponding to the pressure difference safety score, and the continuous degradation timer corresponding to the insulation safety score; The time accumulation penalty factor is calculated based on the preset time constant, preset control penalty speed, preset penalty lower limit, continuous degradation timer corresponding to the temperature difference safety score, continuous degradation timer corresponding to the pressure difference safety score, and continuous degradation timer corresponding to the insulation safety score. The comprehensive safety index is calculated based on the temperature difference safety score and its corresponding weight, the pressure difference safety score and its corresponding weight, the insulation safety score and its corresponding weight, and the cumulative penalty factor.

[0067] For example, define a continuous degradation timer. ,in, Represents dimensions, , respectively representing the temperature dimension Voltage dimension and insulation dimension When a certain dimension is rated continuously below the threshold (For example, at 60 points) the timer increments, and once it recovers to above that level... + Hysteresis value (e.g., 65 minutes), timer is reset to zero.

[0068] Time-cumulative penalty factor: , in, The preset lower limit of punishment, The preset time constant, This is a preset penalty rate. When no dimension continues to deteriorate... .

[0069] Overall safety index: , Ultimately, S is truncated within the interval [0, 100].

[0070] As can be seen, in the embodiments of this application, the design of a penalty factor based on the duration of continuous degradation can identify slowly drifting "latent" risks and prevent long-term sub-health conditions from going undetected.

[0071] Step 106: Trigger the corresponding risk warning and response actions based on the comprehensive safety index.

[0072] For example, a mapping table of five levels of comprehensive safety risk index, safety level, warning color and response action level can be established.

[0073] Furthermore, to prevent the overall score from being overshadowed by compensation from other high-scoring dimensions, a hard fallback can be set for a single dimension, for example: If the security score in any dimension is less than the first index threshold, for example Regardless of overall A certain amount will directly trigger a red alert; if the safety score in any dimension is less than the second index threshold, for example... And comprehensive The yellow zone has been upgraded to an orange alert.

[0074] As can be seen from the embodiments of this application, the single-dimensional hard fallback mechanism ensures that a sharp deterioration of any single indicator can immediately trigger the highest level of response; the hierarchical linkage control realizes the full-chain automated handling from cooling adjustment to emergency shutdown.

[0075] Furthermore, the warning status must meet the conditions for multiple consecutive sampling periods (e.g., 3 periods) before outputting to avoid instantaneous interference. When the status recovers, it must remain above the recovery threshold for multiple consecutive periods before the warning is lifted to prevent oscillations.

[0076] It can be seen that, compared with the prior art, the beneficial effects of the present invention are as follows: (1) Existing technologies rely solely on single threshold alarms of temperature or voltage. This application extracts temperature difference characteristics based on the temperature of all individual cells within the battery cluster, extracts voltage difference characteristics based on the voltage of all individual cells within the battery cluster, the current charging and discharging current, and the estimated average internal resistance within the cluster, and extracts insulation characteristics based on ambient relative humidity, DC bus positive-to-ground insulation resistance, and negative-to-ground insulation resistance. Simultaneously, it incorporates temperature difference characteristics, voltage difference characteristics, and insulation characteristics into the evaluation system in parallel, which can capture the chain-coupled deterioration process of "insulation degradation leading to local heating → temperature difference expansion → polarization intensification → voltage difference deterioration", significantly improving the ability to identify accident precursors.

[0077] (2) Existing insulation testing methods mostly compare absolute values, ignoring the effects of asymmetry and humidity. This application extracts insulation characteristics based on ambient relative humidity, DC bus positive-to-ground insulation resistance, and negative-to-ground insulation resistance. It can compensate for and correct surface leakage current caused by humidity, thereby accurately identifying "unipolar insulation degradation" or "false insulation alarms caused by humid environments". When calculating the comprehensive safety index, it is coupled with the characteristics of pressure difference and temperature difference to reflect the deteriorating relationship between insulation degradation and cell consistency.

[0078] (3) The fixed weights in the existing technology cannot adapt to changes in operating conditions and aging stages. This application calculates the weights corresponding to the temperature difference, pressure difference, and insulation scores in real time based on ambient temperature, relative humidity, charge / discharge rate, and battery health status, instead of fixed weights. The dynamic weights ensure that the comprehensive safety index is always driven by the most dominant risk factor at present, which can reduce the false alarm and missed alarm rates.

[0079] (4) Existing early warnings are only at the notification level. This application triggers different levels of risk warnings and response actions based on the comprehensive safety index, and can take differentiated measures according to the current actual risk level, avoiding excessive intervention or insufficient response caused by a "one-size-fits-all" approach. This ensures both system safety and the availability of energy storage power stations.

[0080] (5) In the prior art, multiple parameters are presented independently, making it difficult for operation and maintenance personnel to make a comprehensive judgment. This application obtains a single comprehensive safety index by weighted integration of temperature difference score, pressure difference score and insulation score. The index has a continuous range of values, which can intuitively reflect the current overall safety level of the energy storage power station. It is easy to set a unified risk level threshold and is also easy to connect to the dispatch automation system or digital twin platform to achieve standardized management.

[0081] In summary, this invention can significantly improve the operational safety of electrochemical energy storage power stations.

[0082] Figure 2 A schematic diagram of a multi-dimensional comprehensive safety assessment device for an energy storage power station according to an embodiment of this application is shown. The device includes: The data acquisition unit 201 is used to collect safety assessment data and weight assessment data. The safety assessment data includes the temperature of all individual cells in the battery cluster, the voltage of all individual cells in the battery cluster, the current charging and discharging current, the average estimated internal resistance in the cluster, the ambient relative humidity, the insulation resistance of the DC bus positive terminal to ground and the insulation resistance of the negative terminal to ground. The weight assessment data includes the ambient temperature, the ambient relative humidity, the charge and discharge rate and the battery health status. Feature extraction unit 202 is used to extract temperature difference features based on the temperature of all individual cells in the battery cluster, extract voltage difference features based on the voltage of all individual cells in the battery cluster, the current charging and discharging current and the average estimated internal resistance in the cluster, and extract insulation features based on the ambient relative humidity, the insulation resistance of the DC bus positive terminal to ground and the insulation resistance of the negative terminal to ground. The safety score calculation unit 203 is used to calculate the temperature difference safety score based on the temperature difference characteristics, the pressure difference safety score based on the pressure difference characteristics, and the insulation safety score based on the insulation characteristics. The weight calculation unit 204 is used to calculate the weights corresponding to the temperature difference safety score, the pressure difference safety score, and the insulation safety score based on the ambient temperature, ambient relative humidity, charge / discharge rate, and battery health status. The safety index calculation unit 205 is used to calculate a comprehensive safety index based on the temperature difference safety score and the weight corresponding to the temperature difference safety score, the pressure difference safety score and the weight corresponding to the pressure difference safety score, and the insulation safety score and the weight corresponding to the insulation safety score. The early warning and response triggering unit 206 is used to trigger corresponding risk early warning and response actions based on the comprehensive safety index.

[0083] Figure 3 The diagram illustrates the structure of a computer device provided in one embodiment of this application, including a memory and a processor. The memory stores a computer program, and the processor executes the computer program to implement the functions of the computer system of the multi-dimensional comprehensive safety assessment method for energy storage power stations in any of the above embodiments.

[0084] This application also provides a computer-readable storage medium storing a computer program thereon, which, when executed by a computer, causes the computer to perform the functions of the computer system of the multi-dimensional comprehensive safety assessment method for energy storage power stations in any of the above embodiments.

[0085] This application also provides a computer program product containing instructions that, when executed by a computer, cause the computer to perform the functions of the computer system of the multi-dimensional comprehensive safety assessment method for energy storage power stations in any of the above embodiments.

[0086] It is understood that the specific examples in this application are only intended to help those skilled in the art better understand the implementation methods of this application, and are not intended to limit the scope of the invention.

[0087] It is understood that in the various embodiments of this application, the sequence number of each process does not imply the order of execution. The execution order of each process should be determined by its function and internal logic, and should not limit the implementation process of the embodiments of this application in any way.

[0088] It is understood that the various implementation methods described in this application can be implemented individually or in combination, and the implementation methods in this application are not limited in this respect.

[0089] Unless otherwise stated, all technical and scientific terms used in the embodiments of this application have the same meaning as commonly understood by one of ordinary skill in the art. The terminology used in this application is for the purpose of describing particular embodiments only and is not intended to limit the scope of this application. The term "and / or" as used in this application includes any and all combinations of one or more of the associated listed items. The singular forms "a," "the," and "the" as used in the embodiments of this application and the appended claims are also intended to include the plural forms unless the context clearly indicates otherwise.

[0090] It is understood that the processor in the embodiments of this application can be an integrated circuit chip with signal processing capabilities. During implementation, each step of the above method embodiments can be completed by the integrated logic circuits in the processor's hardware or by instructions in software form. The processor can be a general-purpose processor, a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field-programmable gate array (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, or discrete hardware components. It can implement or execute the methods, steps, and logic block diagrams disclosed in the embodiments of this application. The general-purpose processor can be a microprocessor or any conventional processor. The steps of the methods disclosed in the embodiments of this application can be directly embodied in the execution of a hardware decoding processor, or executed by a combination of hardware and software modules in the decoding processor. The software modules can be located in random access memory, flash memory, read-only memory, programmable read-only memory, electrically erasable programmable memory, registers, or other mature storage media in the art. This storage medium is located in memory; the processor reads information from the memory and, in conjunction with its hardware, completes the steps of the above method.

[0091] It is understood that the memory in the embodiments of this application may be volatile memory or non-volatile memory, or may include both volatile and non-volatile memory. Specifically, non-volatile memory may be read-only memory (ROM), programmable read-only memory (PROM), erasable programmable read-only memory (EPROM), electrically erasable programmable read-only memory (EEPROM), or flash memory. Volatile memory may be random access memory (RAM). It should be noted that the memory in the systems and methods described herein is intended to include, but is not limited to, these and any other suitable types of memory.

[0092] Those skilled in the art will recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0093] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working processes of the systems, devices, and units described above can be referred to the corresponding processes in the aforementioned method implementations, and will not be repeated here.

[0094] In the several embodiments provided in this application, it should be understood that the disclosed systems, apparatuses, and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the mutual coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection between apparatuses or units may be electrical, mechanical, or other forms.

[0095] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment, depending on actual needs.

[0096] In addition, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit.

[0097] If a function is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods of various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0098] The above are merely specific embodiments of this application, but the scope of protection of this invention is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the technical scope disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this invention should be determined by the scope of the claims.

Claims

1. A multi-dimensional comprehensive safety assessment method for energy storage power stations, characterized in that, The method includes: Collect safety assessment data and weighted assessment data. The safety assessment data includes the temperature of all individual cells in the battery cluster, the voltage of all individual cells in the battery cluster, the current charge and discharge current, the average estimated internal resistance of the cluster, the ambient relative humidity, the insulation resistance of the DC bus positive terminal to ground and the insulation resistance of the negative terminal to ground. The weighted assessment data includes the ambient temperature, the ambient relative humidity, the charge and discharge rate and the battery health status. Temperature difference characteristics are extracted based on the temperature of all individual cells in the battery cluster; voltage difference characteristics are extracted based on the voltage of all individual cells in the battery cluster, the current charging and discharging current, and the average estimated internal resistance within the cluster; insulation characteristics are extracted based on the ambient relative humidity, the insulation resistance of the DC bus positive terminal to ground, and the insulation resistance of the DC bus negative terminal to ground. A temperature difference safety score is calculated based on the temperature difference characteristics, a pressure difference safety score is calculated based on the pressure difference characteristics, and an insulation safety score is calculated based on the insulation characteristics. The weights corresponding to the temperature difference safety score, the pressure difference safety score, and the insulation safety score are calculated based on the ambient temperature, ambient relative humidity, charge / discharge rate, and battery health status. A comprehensive safety index is calculated based on the temperature difference safety score and its corresponding weight, the pressure difference safety score and its corresponding weight, and the insulation safety score and its corresponding weight. The corresponding risk warning and response actions are triggered based on the comprehensive safety index.

2. The method according to claim 1, characterized in that, The temperature difference characteristics include maximum temperature difference, temperature dispersion, and temperature difference change rate. Extracting temperature difference characteristics based on the temperatures of all individual cells within the battery cluster includes: The maximum temperature difference is calculated based on the maximum and minimum temperatures of the individual cells. The temperature dispersion is calculated based on the average temperature of all individual cells in the battery cluster and the temperature of each individual cell. The rate of change of temperature difference is obtained by performing a univariate linear regression on temperature and time within a first fixed time window based on the temperatures of all individual cells in the battery cluster.

3. The method according to claim 2, characterized in that, The pressure difference characteristics include the maximum equivalent static pressure difference and the rate of change of pressure difference. Extracting the pressure difference characteristics based on the voltages of all individual cells within the battery cluster, the current charge / discharge current, and the estimated average internal resistance within the cluster includes: The equivalent resting voltage of each individual cell is calculated based on the voltage of all individual cells in the battery cluster, the current charge / discharge current, and the average estimated internal resistance of the cluster. The maximum equivalent static voltage difference is calculated based on the maximum and minimum equivalent static voltages of the individual cells. The rate of change of the voltage difference is obtained by performing a univariate linear regression on voltage and time within a second fixed time window based on the equivalent static voltages of all individual cells in the battery cluster.

4. The method according to claim 3, characterized in that, The insulation characteristics include parallel equivalent insulation resistance, and the ambient relative humidity, DC bus positive-to-ground insulation resistance, and negative-to-ground insulation resistance include: The original parallel equivalent insulation resistance value is determined based on the ratio of the product of the insulation resistance of the positive pole to ground and the insulation resistance of the negative pole to ground of the DC bus to the sum of the insulation resistance of the positive pole to ground and the insulation resistance of the negative pole to ground of the DC bus. Calculate the humidity compensation factor based on the ambient relative humidity and the reference humidity; The corrected parallel equivalent insulation resistance value is calculated based on the humidity compensation factor and the original parallel equivalent insulation resistance value.

5. The method according to claim 4, characterized in that, The calculation of the temperature difference safety score based on the temperature difference characteristics includes: The maximum temperature difference, the temperature dispersion, and the temperature difference change rate are respectively substituted into the first scoring function to calculate the static temperature difference amplitude score, the temperature dispersion score, and the temperature difference change rate score. The temperature difference safety score is calculated based on the static temperature difference amplitude score and its corresponding weight, the temperature dispersion score and its corresponding weight, and the temperature difference change rate score and its corresponding weight. The calculation of the differential pressure safety score based on the differential pressure characteristics includes: Substitute the maximum equivalent static pressure difference and the pressure difference change rate into the first scoring function to calculate the static pressure difference amplitude score and the pressure difference change rate score. The differential pressure safety score is calculated based on the static differential pressure amplitude score and the weight corresponding to the static differential pressure amplitude score, the differential pressure change rate score and the weight corresponding to the differential pressure change rate score; The calculation of the insulation safety score based on the insulation characteristics includes: Substituting the parallel equivalent insulation resistance value into the second scoring function yields the insulation safety score; The first scoring function is: ， The second scoring function is: ， in, For the maximum temperature difference hour, Preset temperature difference safety threshold , The preset temperature difference limit danger threshold , The preset temperature difference attenuation coefficient , Preset temperature difference shape index , Scoring the static temperature difference amplitude ; Temperature dispersion hour, Preset discreteness safety threshold , The preset dispersion limit danger threshold , The preset dispersion attenuation coefficient , The preset discrete shape index , Scoring the rate of change of temperature difference ; The absolute value of the rate of change of temperature difference hour, The preset safety threshold for the rate of temperature change. , The preset temperature difference change rate limit danger threshold , The preset temperature difference change rate attenuation coefficient , The preset temperature difference change rate shape index , Scoring the rate of change of temperature difference ; For the maximum equivalent static pressure difference hour, The preset equivalent differential pressure safety threshold , The preset equivalent differential pressure limit danger threshold , The preset differential pressure attenuation coefficient , Preset differential pressure shape index , Scoring of static differential pressure amplitude ; The absolute value of the rate of change of pressure difference hour, The preset safety threshold for differential pressure change rate , The preset differential pressure change rate limit danger threshold , The preset differential pressure change rate attenuation coefficient , The preset differential pressure change rate shape index , Scoring the rate of change of pressure difference ; Parallel equivalent insulation resistance hour, The preset insulation safety threshold , Preset insulation limit danger threshold , The preset insulation attenuation coefficient , Preset insulation shape index , Insulation safety rating .

6. A method according to claim 1, characterized in that, The calculation of the weights corresponding to the temperature difference safety score, the pressure difference safety score, and the insulation safety score based on the ambient temperature, relative humidity, charge / discharge rate, and battery health status includes: Obtain the weights corresponding to the temperature difference safety score, the pressure difference safety score, and the insulation safety score under normal operating conditions; If the ambient temperature increases and the charge / discharge rate increases, then the weight corresponding to the temperature difference safety score is increased, and the weight corresponding to the pressure difference safety score and the weight corresponding to the insulation safety score are decreased. If the relative humidity of the environment increases, the weight corresponding to the insulation safety score will be increased. If the battery health status decreases, the weight corresponding to the differential pressure safety score is increased.

7. The method according to claim 1, characterized in that, The calculation of the comprehensive safety index based on the temperature difference safety score and its corresponding weight, the pressure difference safety score and its corresponding weight, and the insulation safety score and its corresponding weight includes: Obtain the continuous degradation timer corresponding to the temperature difference safety score, the continuous degradation timer corresponding to the pressure difference safety score, and the continuous degradation timer corresponding to the insulation safety score; The time accumulation penalty factor is calculated based on the preset time constant, preset control penalty speed, preset penalty lower limit, continuous degradation timer corresponding to the temperature difference safety score, continuous degradation timer corresponding to the pressure difference safety score, and continuous degradation timer corresponding to the insulation safety score. The comprehensive safety index is calculated based on the temperature difference safety score and its corresponding weight, the pressure difference safety score and its corresponding weight, the insulation safety score and its corresponding weight, and the cumulative penalty factor.

8. A multi-dimensional comprehensive safety assessment device for energy storage power stations, characterized in that, The device includes: The data acquisition unit is used to collect safety assessment data and weight assessment data. The safety assessment data includes the temperature of all individual cells in the battery cluster, the voltage of all individual cells in the battery cluster, the current charging and discharging current, the average estimated internal resistance in the cluster, the ambient relative humidity, the insulation resistance of the DC bus positive terminal to ground and the insulation resistance of the negative terminal to ground. The weight assessment data includes the ambient temperature, the ambient relative humidity, the charge and discharge rate and the battery health status. The feature extraction unit is used to extract temperature difference features based on the temperature of all individual cells in the battery cluster, extract voltage difference features based on the voltage of all individual cells in the battery cluster, the current charging and discharging current, and the average estimated internal resistance in the cluster, and extract insulation features based on the ambient relative humidity, the insulation resistance of the DC bus positive terminal to ground, and the insulation resistance of the DC bus negative terminal to ground. A safety score calculation unit is used to calculate a temperature difference safety score based on the temperature difference characteristics, a pressure difference safety score based on the pressure difference characteristics, and an insulation safety score based on the insulation characteristics. The weighting calculation unit is used to calculate the weights corresponding to the temperature difference safety score, the pressure difference safety score, and the insulation safety score based on the ambient temperature, ambient relative humidity, charge / discharge rate, and battery health status. The safety index calculation unit is used to calculate a comprehensive safety index based on the temperature difference safety score and the weight corresponding to the temperature difference safety score, the pressure difference safety score and the weight corresponding to the pressure difference safety score, and the insulation safety score and the weight corresponding to the insulation safety score. The early warning and response triggering unit is used to trigger corresponding risk warnings and response actions based on the comprehensive safety index.

9. An electronic device, characterized in that, include: Processor and memory; The processor is connected to a memory, wherein the memory is used to store a computer program, and the processor is used to invoke the computer program to perform the method as described in any one of claims 1-7.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program, the computer program including program instructions that, when executed by a processor, perform the method as described in any one of claims 1-7.

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