Storage battery safety control system

Abstract

The invention relates to the technical field of storage batteries, in particular to a storage battery safety control system which comprises a battery state monitoring module, an abnormity analysis module, a charging and discharging adjusting module and an emergency control module, and the working state of a storage battery is continuously monitored based on received battery voltage and current real-time data. According to the invention, the voltage, current and temperature of the battery are monitored in real time and compared with historical data, the deviation value in the charging and discharging process is accurately calculated, the monitoring precision and the response speed are improved, and potential risks such as overcharging and overdischarging are timely prevented and managed by identifying subtle changes in the state of the battery. The system effectively improves the safety and efficiency of battery use, prolongs the service life of the battery, improves the utilization efficiency of energy, can rapidly adjust the output power or cut off power in an emergency through detailed risk assessment and optimization adjustment of the battery working interval, further improves the coping capability of the system for the emergency, and improves the safety and efficiency of the system. And the safety of equipment and a user is ensured.

Description

Technical Field

[0001] The present invention relates to the technical field of storage batteries, and in particular to a storage battery safety control system. Background Art

[0002] The field of battery technology involves devices that store and provide electrical energy. It is widely used in various equipment and systems, such as transportation, renewable energy storage, portable electronic devices, uninterruptible power supplies for data centers, etc. Batteries store and release energy through electrochemical reactions. Types include lead-acid batteries, lithium-ion batteries, nickel-metal hydride batteries, etc. The core content includes battery material selection, structural design, charging and discharging efficiency, safety, life, environmental protection and cost.

[0003] Among them, the battery safety control system is a system designed for the safety and performance optimization of batteries during use. It aims to monitor, manage and protect the operating status of the battery. Its main purpose is to detect battery parameters such as temperature, voltage and current, and prevent overcharging, over-discharging, battery short circuit and overheating, which may potentially cause battery damage or safety accidents, so as to improve the efficiency of battery use, extend its service life, and ensure the safety of equipment and users.

[0004] Existing technologies fail to conduct real-time data comparison and risk prediction, which makes it difficult to accurately determine the immediate status of the battery, resulting in unoptimized battery performance or even premature failure. In addition, traditional systems are inflexible in emergency situations and lack the ability to quickly power off or adjust output power, causing safety incidents in high-risk situations, such as fires or equipment damage caused by battery overheating. These deficiencies can cause serious problems in applications that are highly dependent on batteries. Summary of the invention

[0005] The purpose of the present invention is to solve the shortcomings in the prior art and to propose a battery safety control system.

[0006] In order to achieve the above object, the present invention adopts the following technical solution: a battery safety control system, the system comprising:

[0007] The battery status monitoring module continuously monitors the working status of the battery based on the received real-time data of battery voltage and current, measures the difference between real-time data and historical data, and calculates the deviation value of the battery charging and discharging process in combination with the temperature data collected by the battery temperature sensor to obtain the status deviation index;

[0008] The abnormality analysis module analyzes the battery state deviation index based on the state deviation index, divides the state deviation level by using the safety threshold, and classifies the abnormal data to identify the risk level of the battery during the charging and discharging process and generate a risk level index;

[0009] The charge and discharge regulation module evaluates the charge and discharge speed of the battery based on the risk level index, adjusts the charge and discharge parameters, determines the optimal range of the battery charge and discharge speed, and generates a battery speed regulation processing configuration;

[0010] Based on the battery speed regulation processing configuration, the emergency control module reduces the battery output power or completely cuts off the power to avoid the risk of overload or overheating during battery charging and discharging, and updates the battery safety status in real time to generate a safety regulation response result.

[0011] The present invention is improved in that the step of measuring the difference between the real-time data and the historical data is specifically as follows:

[0012] Based on the received real-time data of battery voltage and current, historical voltage and current data at corresponding time points are integrated to generate real-time and historical data sets;

[0013] Based on the real-time and historical data sets, the working status of the battery is continuously monitored, and the difference between the real-time data set and the historical data set is calculated using the formula:

[0014] ΔGI i =|V real,i -V hist,i |+|I real,i -I hist,i |

[0015] Get the data difference array, where ΔGI i represents the total difference of the ith data point, V real,i and V hist,i is the real-time and historical value of voltage, I real,i and I hist,i Real-time and historical values ​​of current.

[0016] The present invention is improved in that the step of obtaining the state deviation indicator is specifically as follows:

[0017] Based on the temperature data collected by the battery temperature sensor, the deviation value during the battery charging and discharging process is calculated using the formula:

[0018]

[0019] Obtain the deviation value of the battery state Deviation, where ΔV is the voltage deviation, ΔI is the current deviation, T represents the current temperature data of the battery, and β is the weight coefficient of the temperature influence;

[0020] According to the deviation value of the battery state, it is evaluated whether the battery state exceeds a normal operation threshold value to obtain a state deviation index.

[0021] The present invention is improved in that the steps of dividing the state deviation levels are specifically as follows:

[0022] Based on the state shift index, calculate the mean value and standard deviation, including the central trend and fluctuation of the shift index, to obtain statistical analysis results;

[0023] Based on the statistical analysis results, the formula is adopted:

[0024] Threshold=Y μ +Y k ·Y σ

[0025] Calculate the safety threshold Threshold and dynamically adjust the threshold to match the differentiated operating conditions, where Y μ is the average value of the deviation index, Y σ is the standard deviation, Y k It is a safety factor determined based on the variability of battery performance;

[0026] Based on the safety threshold, the state deviation index is divided into multiple levels, including normal, warning and danger, to obtain a state level division result.

[0027] The present invention is improved in that the steps of obtaining the risk level indicator are specifically as follows:

[0028] According to the divided state deviation levels, a corresponding risk indicator is assigned to each level, normal is marked as low risk, warning is marked as medium risk, and danger is marked as high risk, so as to obtain preliminary risk marking data;

[0029] The preliminary risk marker data is analyzed to determine risk level indicators based on the frequency and severity of each risk level.

[0030] The present invention is improved in that the evaluation step of the charging and discharging speed of the battery is specifically as follows:

[0031] Based on the risk level indicator, collecting battery charging and discharging data for each risk level, including charging time, discharging rate and battery capacity, to obtain a performance data set;

[0032] Based on the performance data set, the formula is adopted:

[0033]

[0034] Calculate the average charge and discharge rate SV adjusted , where SV i Represents the charge and discharge speed under multiple risk levels, SR i Represents the weight coefficient corresponding to the risk level;

[0035] According to the average charge and discharge speed, whether the current operating conditions are met is evaluated to obtain a charge and discharge speed evaluation result.

[0036] The present invention is improved in that the steps of obtaining the battery speed regulation processing configuration are specifically as follows:

[0037] Based on the charge and discharge speed evaluation results, determine the charge and discharge parameters that need to be adjusted, including the upper limit of the charging current, the discharge speed, and the charging cycle, analyze the potential impact of the parameters on the battery performance and life, and obtain the parameter adjustment demand analysis results;

[0038] Based on the parameter adjustment demand analysis results, the optimal range of battery charging and discharging speed is determined using the formula:

[0039]

[0040] Get the optimal value P of the adjusted charging and discharging parameters optimal , where P min and P max are the minimum and maximum allowable values ​​of the charge and discharge parameters, P i represents the i-th recommended parameter value, and n is the number of recommended values;

[0041] The adjusted optimal values ​​of the charging and discharging parameters are applied to test and verify the effectiveness of the new parameters to obtain a battery speed regulation processing configuration.

[0042] The present invention is improved in that the step of obtaining the security regulation response result is specifically as follows:

[0043] Based on the battery speed control processing configuration, the key performance indicators of the battery are monitored in real time, and the data is analyzed in real time to determine whether it is close to or exceeds the safety threshold, and the battery performance record is obtained;

[0044] Based on the battery performance record, evaluate whether the battery needs to perform safety regulation, using the formula:

[0045]

[0046] Get the adjustment factor AF to determine the degree of power adjustment, where PB current Indicates the current output power of the battery, PB safe is the safe power threshold, PB max is the maximum output power designed for the battery;

[0047] A safety process is executed according to the adjustment factor, including power adjustment or complete power off, and the safety status of the battery is updated to obtain a safety regulation response result.

[0048] Compared with the prior art, the advantages and positive effects of the present invention are:

[0049] In the present invention, by real-time monitoring of battery voltage, current and temperature and comparing them with historical data, the deviation value in the charging and discharging process is accurately calculated, thereby improving the monitoring accuracy and response speed. By identifying subtle changes in the battery status, potential risks such as overcharging and over-discharging are timely prevented and managed, thereby effectively improving the safety and efficiency of battery use. Through detailed risk assessment and optimization and adjustment of the battery working range, the system extends the battery life and improves the energy utilization efficiency. In an emergency, the output power can be quickly adjusted or the power can be cut off, further improving the system's ability to respond to emergencies and ensuring the safety of equipment and users. BRIEF DESCRIPTION OF THE DRAWINGS

[0050] Figure 1 is a system flow chart of the present invention;

[0051] Figure 2 A flow chart of measuring the difference between real-time data and historical data in the present invention;

[0052] Figure 3 This is a flow chart for obtaining the state deviation indicator in the present invention;

[0053] Figure 4 It is a flow chart of the classification of state deviation levels in the present invention;

[0054] Figure 5 This is a flow chart for obtaining the risk level indicator in the present invention;

[0055] Figure 6 is a flow chart for evaluating the charging and discharging speed of the storage battery in the present invention;

[0056] Figure 7 A flowchart for obtaining the battery speed regulation processing configuration in the present invention;

[0057] Figure 8 The present invention is a flowchart for obtaining the safety control response results. DETAILED DESCRIPTION

[0058] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0059] In the description of the present invention, it should be understood that the terms "length", "width", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside", etc., indicating positions or positional relationships, are based on the positions or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as limiting the present invention. In addition, in the description of the present invention, the meaning of "multiple" is two or more, unless otherwise clearly and specifically defined.

[0060] Example

[0061] See also Figure 1 The present invention provides a technical solution: a battery safety control system comprising:

[0062] The battery status monitoring module continuously monitors the working status of the battery based on the received real-time data of battery voltage and current, measures the difference between real-time data and historical data, and calculates the deviation value of the battery charging and discharging process in combination with the temperature data collected by the battery temperature sensor to obtain the status deviation index;

[0063] The abnormal analysis module analyzes the battery state deviation index based on the state deviation index, divides the state deviation level using the safety threshold, and classifies the abnormal data to identify the risk level of the battery during the charging and discharging process and generate the risk level index;

[0064] The charge and discharge regulation module evaluates the charge and discharge speed of the battery based on the risk level index, adjusts the charge and discharge parameters, and determines the optimal range of the battery charge and discharge speed to ensure the maximization of battery performance and life, and generates the battery speed regulation processing configuration;

[0065] The emergency control module reduces the battery output power or completely cuts off the power based on the battery speed control processing configuration to avoid the risk of overload or overheating during battery charging and discharging. It also updates the battery safety status in real time and generates a safety control response result.

[0066] State deviation indicators include voltage difference, current difference, and temperature deviation. Risk level indicators include deviation level, abnormality type, and risk rating. The battery speed regulation processing configuration is specifically charging parameters, discharging parameters, and performance adjustment standards. The safety regulation response results include output power adjustment, power-off process, and safety status feedback information.

[0067] See also Figure 2 ,The steps to measure the difference between real-time data and historical data are as follows:

[0068] Based on the received real-time data of battery voltage and current, historical voltage and current data at corresponding time points are integrated to generate real-time and historical data sets;

[0069] The voltage and current values ​​are measured by the sensor in real time and matched with the records in the historical database through the timestamp. The call of historical data depends on the data interface. The historical records of battery voltage and current are retrieved within the specified time range. After the real-time data and historical data are paired according to the time point, a real-time and historical data set based on time is generated. The process includes data collection, time point alignment, database query result matching and data integration.

[0070] Based on the real-time and historical data sets, the working status of the battery is continuously monitored, and the difference between the real-time data set and the historical data set is calculated using the formula:

[0071] ΔGI i =|V real,i -V hist,i |+|I real,i -I hist,i |

[0072] Get the data difference array, where ΔGI i represents the total difference of the ith data point, V real,i and V hist,i is the real-time and historical value of voltage, I real,i and I hist,i Real-time and historical values ​​of current;

[0073] At a certain moment, the real-time voltage and current of the battery are V real,i =12.5V and I real,i =5.2A, the historical data corresponds to V hist,i =12.0V and I hist,i =5.0A, then the process of calculating the difference is as follows:

[0074] ΔGI i =|12.5-12.0|+|5.2-5.0|=0.5+0.2=0.7

[0075] The results show that at the moment of monitoring, the battery voltage and current have a slight increase compared to the historical records, indicating that the battery is experiencing a higher load or a change in the state of charge. The difference value helps to further analyze the battery's charge and discharge cycle and health status.

[0076] See also Figure 3 , the specific steps for obtaining the state deviation indicator are:

[0077] Based on the temperature data collected by the battery temperature sensor, the deviation value during the battery charging and discharging process is calculated using the formula:

[0078]

[0079] The deviation value of the battery state is obtained, where ΔV is the voltage deviation, which represents the difference between the real-time voltage and the historical voltage, and is calculated as ΔV = V real -V hist , ΔI is the current deviation, which indicates the difference between the real-time current and the historical current, ΔI=I real -I hist , T represents the current temperature data of the battery, β is the weight coefficient of temperature influence, and 1+βT is the response degree of the correction deviation value to temperature sensitivity by combining the temperature value and the weight coefficient;

[0080] By integrating the effects of voltage, current and temperature, the stability and safety of the battery under various working conditions are evaluated, especially under extreme temperature conditions. The following data are collected: voltage deviation ΔV = 0.1V, current deviation ΔI = 0.05A, current temperature T = 35°C, temperature weight coefficient β = 0.01, and substitute into the formula for calculation:

[0081]

[0082] The result shows that under the current conditions, the battery's state offset value is 0.13, which is a low value, indicating that the battery performs stably in the current working state without obvious performance degradation or signs of risk.

[0083] According to the deviation value of the battery state, assess whether the battery state exceeds the normal operation threshold value, and obtain a state deviation indicator;

[0084] The deviation value is compared with the set operating threshold (0.5). The threshold can be obtained through historical data analysis and equipment parameter setting to ensure that it can reflect the healthy status range of the battery under normal charging and discharging conditions. When performing the comparison, the current deviation value is extracted and compared with the threshold one by one. For results exceeding the threshold, the specific value and degree of deviation are recorded, the deviation value is marked as an abnormal data point, the proportion of abnormal data points is calculated, and the distribution of abnormal data points is analyzed, so as to further evaluate the health status of the entire battery state, and it can be clear whether the battery is within the normal operating range, and the state deviation index is obtained.

[0085] See also Figure 4 , the specific steps for dividing the state deviation level are:

[0086] Based on the state deviation index, the mean value and standard deviation are calculated, including the central trend and fluctuation of the deviation index, to obtain the statistical analysis results;

[0087] First, the historical and current records of all state deviation indicators are collected, the data is arranged as a time series, and the average value of the indicator is calculated to determine the central trend of the data. The average value is obtained by accumulating all deviation indicators and dividing by the total number of data points. Then the standard deviation is calculated to measure the volatility of the data. The calculation process of the standard deviation includes subtracting the average value from each deviation indicator, squaring the results and summing them, dividing them by the total number of data points, and finally taking the square root. The statistics reflect the performance fluctuations and overall health status of the battery under different operating conditions, and generate statistical analysis results.

[0088] Based on the statistical analysis results, the formula is used:

[0089] Threshold=Y μ +Y k ·Y σ

[0090] Calculate the safety threshold Threshold and dynamically adjust the threshold to match the differentiated operating conditions, where Y μ is the average value of the deviation index, Y σ is the standard deviation, Y k It is a safety factor determined based on the variability of battery performance;

[0091] The average value of the battery status deviation indicator Y μ =0.05, standard deviation Y σ =0.02, safety factor Y k =3, substitute the data into the formula and calculate:

[0092] Threshold=0.05+3·0.02=0.11

[0093] The results show that under the current battery performance and operating conditions, the safety threshold is set at 0.11, meaning that any state excursion indicator above this value will be considered a high-risk state and require further monitoring or intervention.

[0094] Based on the safety threshold, the state deviation indicators are divided into multiple levels, including normal, warning and dangerous, and the state level division results are obtained;

[0095] Through conditional judgment, the deviation index is compared with the safety threshold, and all indicators below the threshold are classified as normal level. Then, the indicators greater than the normal threshold and lower than the warning threshold are judged and classified as warning level. Finally, the indicators exceeding the warning threshold are marked as dangerous level. In this process, the safety threshold is derived from the mean and standard deviation in the statistical analysis results. The classification operation uses fixed logical conditions to ensure the consistency of the judgment process, and the status level division results are obtained. Normal is less than 0.05, indicating that the battery performance is basically in the best state without significant deviation; warning is greater than 0.05 and less than or equal to 0.11, indicating that the battery begins to have slight performance fluctuations, but has not reached a dangerous level. At this stage, additional monitoring and maintenance are required to prevent further degradation; danger is greater than 0.11, indicating that the battery performance has seriously deviated from normal working conditions and there is a high risk. Immediate measures are required, including battery repair or replacement, to ensure safety and functional recovery.

[0096] See also Figure 5 , the specific steps for obtaining the risk level indicator are:

[0097] According to the divided status deviation levels, the corresponding risk indicators are assigned to each level, with normal marked as low risk, warning marked as medium risk, and danger marked as high risk, to obtain preliminary risk marking data;

[0098] First, determine the classification criteria for status deviation levels, including normal, warning and dangerous levels. Use the deviation range values ​​corresponding to the levels as a reference to define risk indicators as low risk, medium risk and high risk, respectively. By querying and counting the actual performance of batteries in different deviation ranges in historical data, clarify the specific risk definition of each level. Then, associate the divided deviation levels with risk levels to obtain a corresponding relationship matrix, which includes each status deviation level and its corresponding risk indicator. Finally, assign clear risk tag data to each status deviation level.

[0099] Analyze the preliminary risk marker data and determine the risk level indicators based on the frequency and severity of each risk level;

[0100] Statistics are collected for the frequency of each risk level, and the frequency distribution of each level in different operating time periods is recorded. At the same time, the severity of different levels is analyzed, and the battery status data in the historical data is used to quantify the severity, determine the consequences and duration of medium and high risks, and combine the comprehensive results of frequency statistics and severity. A weighted calculation method is used to superimpose the impact values ​​of each risk level to generate a corresponding risk score, which is used as the basis for determining the risk level indicator.

[0101] See also Figure 6, the evaluation steps of the battery charging and discharging speed are as follows:

[0102] Based on the risk level indicators, the battery charging and discharging data for each risk level is collected, including charging time, discharge rate and battery capacity, to obtain a performance data set;

[0103] First, the charging and discharging test conditions are divided according to different risk levels, including setting different working currents and load conditions, and recording the charging time, discharge rate and capacity change of the battery at each level. The data is recorded during the test process, and a data group is established for the charging and discharging performance under each test condition. The data is structured to clarify the specific charging and discharging behavior characteristics corresponding to each risk level. Finally, it is organized into a performance data set for subsequent analysis of the charging and discharging speed evaluation.

[0104] Based on the performance data set, the formula is adopted:

[0105]

[0106] Calculate the average charge and discharge rate SV adjusted , where SV i Represents the charge and discharge speed under multiple risk levels, SR i Represents the weight coefficient corresponding to the risk level;

[0107] There are three different risk levels with the following charge and discharge speeds SV 1 =0.1, SV 2 =0.2, SV 3 =0.3 and the corresponding weight coefficient SR 1 =1, SR 2 =2, SR 3 =3, substitute it into the formula to calculate:

[0108]

[0109] The results show that after taking into account the weights of each risk level, the adjusted average charge and discharge speed is 0.233, and the speed will be used to assess whether the battery meets the requirements of the current operating conditions.

[0110] According to the average charge and discharge speed, whether the current operating conditions are met is evaluated to obtain a charge and discharge speed evaluation result;

[0111] The average charge and discharge speed is compared with the recommended speed in the current operating conditions. The recommended speed range is confirmed by retrieving the battery specification data provided by the manufacturer. The source of the speed deviation is then analyzed. Combined with the actual operating conditions recorded previously, it is identified whether there are external factors that affect the speed, such as ambient temperature or overload behavior. Finally, the speed status is classified according to the comparison results. If it exceeds the recommended range, it is marked as requiring adjustment, forming a charge and discharge speed evaluation result.

[0112] See also Figure 7 , the specific steps for obtaining the battery speed control processing configuration are:

[0113] Based on the charge and discharge speed evaluation results, determine the charge and discharge parameters that need to be adjusted, including the upper limit of the charge current, the discharge speed, and the charge cycle, analyze the potential impact of the parameters on the battery performance and life, and obtain the parameter adjustment demand analysis results;

[0114] The actual charging and discharging data under different working conditions are recorded separately, and the dimensions of the data are unified through the normalization method. Then, the potential impact of each parameter on battery performance and life is analyzed, and the correlation between charging current and temperature change, discharge speed and battery load is calculated. Finally, the analysis results are combined to generate parameter adjustment demand analysis results.

[0115] Based on the parameter adjustment demand analysis results, the optimal range of battery charging and discharging speed is determined using the formula:

[0116]

[0117] Get the optimal value P of the adjusted charging and discharging parameters optimal , where P min and P max are the minimum and maximum allowable values ​​of the charge and discharge parameters, P i represents the i-th recommended parameter value, n is the number of recommended values, It is the arithmetic mean of all recommended charge and discharge parameters. Max ensures that the parameter will not be lower than the minimum value P min , min ensures that the parameter will not exceed the maximum value P max ;

[0118] There are three recommended parameter values ​​for P 1 =0.8, P 2 =0.85, P 3 =0.9, minimum allowable value P min =0.75, maximum allowable value P max =0.95, substitute into the formula for calculation:

[0119]

[0120] P optimal=min(max(0.75,0.85),0.95)

[0121] P optimal =min(0.85,0.95)=0.85

[0122] The results show that the adjusted optimal charge and discharge parameter value is 0.85, which is suitable for the current operating conditions and provides the best performance and long life for the battery.

[0123] Apply the adjusted optimal values ​​of charge and discharge parameters, test and verify the effectiveness of the new parameters, ensure that the battery meets the expected performance standards under the new operating conditions, and obtain the battery speed regulation processing configuration;

[0124] The adjusted optimal values ​​of charging and discharging parameters are applied, and multiple rounds of verification are carried out by setting up a standardized test environment, including simulating the charging and discharging processes under high temperature, low temperature and normal temperature conditions, monitoring the battery voltage, current and temperature changes, and recording the battery charging time, discharge rate and capacity loss in different test stages. The effectiveness of the new parameter configuration is judged by comparing the test data with the expected performance goals, and the test results are summarized to obtain the battery speed regulation processing configuration to ensure that the new parameters meet the actual operating requirements and operate stably.

[0125] See also Figure 8 , the specific steps for obtaining the security control response results are:

[0126] Based on the battery speed control processing configuration, the key performance indicators of the battery, including output power, temperature and current status, are monitored in real time. The data is analyzed in real time to determine whether it is close to or exceeds the safety threshold and obtain the battery performance record;

[0127] Collect data such as the battery's output power, temperature, and current status, classify the data and process them one by one. First, filter the power data and mark the abnormal points that exceed the historical power peak as potential risk points. Secondly, compare the temperature data with the safe temperature threshold, identify points that exceed the temperature range, and record the abnormal situation. At the same time, calculate the instantaneous change rate of the current data and analyze whether it exceeds the preset range. Combine all monitoring data and analysis results to generate a battery performance record.

[0128] Based on the battery performance record, evaluate whether the battery needs to perform safety regulation, using the formula:

[0129]

[0130] Get the adjustment factor AF to determine the degree of power adjustment, where PB current Indicates the current output power of the battery, PB safe is the safe power threshold, PB max is the maximum output power designed for the battery;

[0131] Current output power PB current =150W, safe power threshold PB safe =100W, maximum output power PB max = 200 watts, substitute into the formula to calculate:

[0132]

[0133] This result shows that the current battery output power exceeds the safety threshold and a power adjustment of 0.25, or 25%, is required to ensure that the battery operates within a safe range.

[0134] Execute the safety process according to the adjustment factor, including power adjustment or complete power off, and update the safety status of the battery to obtain the safety regulation response result;

[0135] The safety process is executed according to the adjustment factor to gradually reduce the output power to a safe range. At the same time, the current power, temperature and current are resampled to confirm the adjustment effect. If the power reduction still cannot eliminate the safety risk, the power-off protection process is triggered to completely cut off the battery output. At the same time, the current battery status including power adjustment range, power-off trigger time, temperature and current status data is recorded, and the information is updated to the battery safety record to obtain the safety control response result.

[0136] The above are only preferred embodiments of the present invention and are not intended to limit the present invention in other forms. Any technician familiar with the profession may use the technical contents disclosed above to change or modify them into equivalent embodiments with equivalent changes and apply them to other fields. However, any simple modification, equivalent change and modification made to the above embodiments based on the technical essence of the present invention without departing from the technical solution of the present invention still falls within the protection scope of the technical solution of the present invention.

Claims

1. A battery safety control system, characterized in that: The system comprises: The battery status monitoring module continuously monitors the working status of the battery based on the received real-time data of battery voltage and current, measures the difference between real-time data and historical data, and calculates the deviation value of the battery charging and discharging process in combination with the temperature data collected by the battery temperature sensor to obtain the status deviation index; The abnormality analysis module analyzes the battery state deviation index based on the state deviation index, divides the state deviation level by using the safety threshold, and classifies the abnormal data to identify the risk level of the battery during the charging and discharging process and generate a risk level index; The charge and discharge regulation module evaluates the charge and discharge speed of the battery based on the risk level index, adjusts the charge and discharge parameters, determines the optimal range of the battery charge and discharge speed, and generates a battery speed regulation processing configuration; Based on the battery speed regulation processing configuration, the emergency control module reduces the battery output power or completely cuts off the power to avoid the risk of overload or overheating during battery charging and discharging, and updates the battery safety status in real time to generate a safety regulation response result.

2. The battery safety control system according to claim 1, characterized in that: The steps of measuring the difference between real-time data and historical data are specifically as follows: Based on the received real-time data of battery voltage and current, historical voltage and current data at corresponding time points are integrated to generate real-time and historical data sets; Based on the real-time and historical data sets, the working status of the battery is continuously monitored, and the difference between the real-time data set and the historical data set is calculated using the formula: ΔGI i =|V real,i -V hist,i |+|I real,i -I hist,i | Get the data difference array, where ΔGI i represents the total difference of the ith data point, V real,i and V hist,i is the real-time and historical value of voltage, I real,i and I hist,i Real-time and historical values ​​of current.

3. The battery safety control system according to claim 1, characterized in that: The steps for obtaining the state deviation indicator are specifically as follows: Based on the temperature data collected by the battery temperature sensor, the deviation value during the battery charging and discharging process is calculated using the formula: Obtain the deviation value of the battery state Deviation, where ΔV is the voltage deviation, ΔI is the current deviation, T represents the current temperature data of the battery, and β is the weight coefficient of the temperature influence; According to the deviation value of the battery state, it is evaluated whether the battery state exceeds a normal operation threshold value to obtain a state deviation index.

4. The battery safety control system according to claim 1, characterized in that: The steps of dividing the state deviation level are specifically as follows: Based on the state shift index, calculate the mean value and standard deviation, including the central trend and fluctuation of the shift index, to obtain statistical analysis results; Based on the statistical analysis results, the formula is adopted: Threshold=Y μ +Y k ·Y σ Calculate the safety threshold Threshold and dynamically adjust the threshold to match the differentiated operating conditions, where Y μ is the average value of the deviation index, Y σ is the standard deviation, Y k It is a safety factor determined based on the variability of battery performance; Based on the safety threshold, the state deviation index is divided into multiple levels, including normal, warning and danger, to obtain a state level division result.

5. The battery safety control system according to claim 1, characterized in that: The steps for obtaining the risk level indicator are specifically as follows: According to the divided state deviation levels, a corresponding risk indicator is assigned to each level, normal is marked as low risk, warning is marked as medium risk, and danger is marked as high risk, so as to obtain preliminary risk marking data; The preliminary risk marker data is analyzed to determine risk level indicators based on the frequency and severity of each risk level.

6. The battery safety control system according to claim 1, characterized in that: The evaluation steps of the charging and discharging speed of the battery are specifically as follows: Based on the risk level indicator, collecting battery charging and discharging data for each risk level, including charging time, discharging rate and battery capacity, to obtain a performance data set; Based on the performance data set, the formula is adopted: Calculate the average charge and discharge rate SV adjusted , where SV i Represents the charging and discharging speed under multiple risk levels, SR i Represents the weight coefficient corresponding to the risk level; According to the average charge and discharge speed, whether the current operating conditions are met is evaluated to obtain a charge and discharge speed evaluation result.

7. The battery safety control system according to claim 1, characterized in that: The steps for obtaining the battery speed regulation processing configuration are specifically as follows: Based on the charge and discharge speed evaluation results, determine the charge and discharge parameters that need to be adjusted, including the upper limit of the charging current, the discharge speed, and the charging cycle, analyze the potential impact of the parameters on the battery performance and life, and obtain the parameter adjustment demand analysis results; Based on the parameter adjustment demand analysis results, the optimal range of battery charging and discharging speed is determined using the formula: Get the optimal value P of the adjusted charge and discharge parameters optimal , where P min and P max are the minimum and maximum allowable values ​​of the charge and discharge parameters, P i represents the i-th recommended parameter value, and n is the number of recommended values; The adjusted optimal values ​​of the charging and discharging parameters are applied to test and verify the effectiveness of the new parameters to obtain a battery speed regulation processing configuration.

8. The battery safety control system according to claim 1, characterized in that: The steps for obtaining the security control response result are specifically as follows: Based on the battery speed control processing configuration, the key performance indicators of the battery are monitored in real time, and the data is analyzed in real time to determine whether it is close to or exceeds the safety threshold, and the battery performance record is obtained; Based on the battery performance record, evaluate whether the battery needs to perform safety regulation, using the formula: Get the adjustment factor AF to determine the degree of power adjustment, where PB current Indicates the current output power of the battery, PB safe is the safe power threshold, PB max is the maximum output power designed for the battery; A safety process is executed according to the adjustment factor, including power adjustment or complete power off, and the safety status of the battery is updated to obtain a safety regulation response result.

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