Safety early warning method and system for multi-parameter fusion of energy storage cabinet
By constructing component operating intervals and similar intervals on a time axis in the energy storage cabinet, determining the farthest similarity point and the farthest time interval, and calculating the attenuation coefficient, a multi-parameter fusion safety early warning for the energy storage cabinet is realized, improving the accuracy of the early warning system and the precision of data analysis.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- ZHEJIANG SENCHU ENERGY GROUP CO LTD
- Filing Date
- 2026-04-10
- Publication Date
- 2026-05-12
- Estimated Expiration
- Not applicable · inactive patent
AI Technical Summary
Existing multi-parameter fusion early warning methods for energy storage cabinets have difficulty distinguishing between normal health status drift and abnormal status during long-term use, resulting in poor early warning effects.
By constructing the component operation interval and similar interval on the time axis, determining the farthest similarity point and the farthest time interval, calculating the attenuation coefficient of individual units and the whole, using multi-dimensional detection parameters to perform parameter deviation analysis, and outputting safety warning signals.
This improves the early warning effect of the energy storage cabinet early warning system, enabling accurate identification of the aging and degradation degree of the battery pack, reducing misjudgments, and improving the accuracy of data analysis.
Smart Images
Figure CN122017652A_ABST
Abstract
Description
Technical Field
[0001] This application relates to the field of energy storage equipment safety technology, and in particular to a safety early warning method and system for energy storage cabinets that integrates multiple parameters. Background Technology
[0002] As the core carrier of electrochemical energy storage systems, the operational safety of energy storage cabinets directly affects the stability of the entire energy storage power station and the safety of personnel and equipment. With the continuous improvement of lithium battery energy density, the risk of thermal runaway is becoming increasingly prominent. Traditional single-parameter threshold alarm methods, due to their delayed response and susceptibility to operational interference, are no longer sufficient to meet the needs of early warning. Therefore, current technologies are gradually developing towards multi-parameter fusion analysis. This involves deploying various sensors such as voltage, current, temperature, gas, smoke, and sound waves to collect multi-dimensional data on electricity, heat, gas, and sound, and then using data fusion algorithms to comprehensively evaluate the operational status of the energy storage cabinet.
[0003] In existing multi-parameter fusion early warning methods, a common technical approach is to compare the real-time collected multi-dimensional feature parameters with the multi-parameter benchmark model established by the energy storage cabinet under historical healthy operating conditions, and to determine whether there is an anomaly by calculating the degree of deviation between the real-time data and the health benchmark.
[0004] In the aforementioned technologies, during long-term cyclic charging and discharging, energy storage cabinets inevitably experience phenomena such as natural aging of batteries, increased internal resistance, capacity decay, and consistency drift. These changes are normal health state evolutions rather than sudden failures. If the initial or fixed historical health state is still used as the comparison benchmark, as the energy storage cabinet is used for a longer period of time, normal health state drift will be misjudged as abnormal, resulting in poor early warning effect of the early warning system, and there is still room for improvement. Summary of the Invention
[0005] To improve the early warning effect of energy storage cabinet early warning system, this application provides a safety early warning method and system for energy storage cabinet multi-parameter fusion.
[0006] Firstly, this application provides a safety early warning method for energy storage cabinets that integrates multiple parameters, employing the following technical solution: A safety early warning method for energy storage cabinets based on multi-parameter fusion includes: Obtain multi-dimensional detection parameters of the battery pack, component operating conditions, and component runtime; Construct a component running interval with the current time point as the end point and a width equal to the component's running length on a preset timeline, as well as a similar interval with a preset width equal to the similar duration; Within the similar interval, the farthest similar point and the farthest interval are determined in the component operation interval based on the component operation conditions at each time point, and the point before matching attenuation and the point after matching attenuation are determined based on the maximum farthest interval. The individual cell attenuation coefficient is determined by calculating the multidimensional detection parameters at the point before and after the matched attenuation. At the point before the matching decay, a similar interval is reconstructed to update the point before and after the matching decay, until the time interval between the point before the matching decay and the beginning point of the component's running interval is less than the preset initial time, at which point the update of the point before the matching decay stops. The overall attenuation coefficient is determined by calculating the attenuation coefficient of each individual component, and the initial detection parameters corresponding to the current component operating conditions are determined based on the preset initial matching relationship. The predicted detection parameters are determined by calculating based on the initial detection parameters and the overall attenuation coefficient, and the parameter deviation distance is determined by calculating based on the predicted detection parameters and the current multidimensional detection parameters. A safety warning signal is output when the parameter deviation distance exceeds the preset allowable deviation distance.
[0007] Optionally, after determining the furthest time interval, the safety early warning method for energy storage cabinets based on multi-parameter fusion also includes: Define the maximum distance between intervals as the single-time upper limit, and construct the single-time unit interval based on the single-time upper limit and the preset single-time unit duration. Determine whether there exists a maximum interval of time other than the maximum duration of a single interval within a single unit interval; If there is no furthest interval other than the maximum duration of a single unit interval, then the point before and after the matching attenuation is determined based on the maximum duration of a single unit interval. If there is a furthest interval in a single unit interval other than the maximum duration of a single time, then the individual unit attenuation coefficient is determined based on each furthest interval in the single unit interval. The attenuation coefficient of each individual cell is calculated and analyzed to determine the reasonable attenuation coefficient. The point before and after the matching attenuation is determined based on the furthest time interval between the largest reasonable attenuation coefficients.
[0008] Optionally, the steps for calculating and analyzing the attenuation coefficient of each individual cell to determine a reasonable attenuation coefficient include: The unit attenuation coefficient is determined by calculation based on the individual unit attenuation coefficient and the corresponding farthest interval time. Construct an internal attenuation interval based on the maximum and minimum unit attenuation coefficients, and randomly generate a simulated unit coefficient within the internal attenuation interval. The simulated representative coefficient is determined by calculation based on the simulated unit coefficient and all unit attenuation coefficients, and the simulated unit coefficient with the largest simulated representative coefficient is defined as the effective representative coefficient. The appropriate attenuation coefficient is determined by calculating the effective representative coefficient and the unit attenuation coefficient.
[0009] Optionally, after the individual cell attenuation coefficient is determined, the multi-parameter fusion safety early warning method for energy storage cabinets also includes: The unit attenuation coefficient of the determined single-unit attenuation coefficient is defined as the unit compensation coefficient. The attenuation compensation duration is determined based on the endpoints of similar intervals and the matching attenuation endpoints, and the attenuation compensation coefficient is calculated based on the attenuation compensation duration and the unit compensation coefficient. The attenuation coefficient of a single unit is corrected and updated based on the attenuation compensation coefficient and the attenuation coefficient of the single unit.
[0010] Optionally, after constructing in similar intervals, the safety early warning method for energy storage cabinets through multi-parameter fusion also includes: Determine if a furthest similarity point exists; If a farthest similarity point exists, then the farthest time interval is determined based on the farthest similarity point; If there is no farthest similar point, then the component operation condition of the back end point of the current near interval is defined as a special operation condition; An exploration interval is constructed based on the endpoints of the current similar intervals and the front points of the component's operating interval. Within the exploration interval, the similarity of operating conditions is determined based on the component's operating conditions and special operating conditions at each time point. The comparison interval is determined based on each time point and the endpoint of the current similar interval, and the reference suitability is determined based on the comparison interval and the similarity of working conditions. The time point corresponding to the highest reference suitability is determined as the farthest similarity point to determine the farthest time interval.
[0011] Optionally, after the reference suitability is determined, the multi-parameter fusion safety early warning method for energy storage cabinets also includes: Determine if there are at least two reference time points with the same and highest suitability. If there are no at least two time points with the same and highest reference fit, then the time point corresponding to the highest reference fit is determined as the farthest similarity point. If there are at least two time points with the same and highest reference fit, then the time point corresponding to the highest reference fit is determined as the candidate similarity point. The component operation conditions of the candidate similar points are defined as candidate relative operation conditions, and the farthest interval time is determined within the exploration interval based on the candidate relative operation conditions. The candidate similar point corresponding to the largest farthest interval time is determined as the farthest similar point.
[0012] Secondly, this application provides a multi-parameter fusion safety early warning system for energy storage cabinets, which adopts the following technical solution: A multi-parameter fusion safety early warning system for energy storage cabinets includes: The acquisition module is used to acquire multi-dimensional detection parameters of the battery pack, component operating conditions, and component runtime. The processing module, connected to the acquisition and judgment modules, is used for information storage and processing; The judgment module, connected to the acquisition and processing modules, is used for judging information. The processing module constructs a component running interval with the current time point as the end point and a width equal to the component's running length, as well as a similar interval with a preset width equal to the similar duration on a preset time axis; The processing module determines the farthest similarity point and the farthest interval in the component operation range based on the component operation conditions at each time point within the similar range, and determines the point before matching attenuation and the point after matching attenuation based on the maximum farthest interval. The processing module calculates and determines the single-cell attenuation coefficient based on the multi-dimensional detection parameters of the matching attenuation point before and after the matching attenuation point. The processing module reconstructs a similar interval at the point before the matching decay to update the point before and after the matching decay, until the time interval between the point before the matching decay and the front end of the component's running interval is less than the preset initial time, at which point the update of the point before the matching decay stops. The processing module calculates the overall attenuation coefficient based on the attenuation coefficients of all individual components, and determines the initial detection parameters corresponding to the current component operating conditions based on the preset initial matching relationship. The processing module calculates the predicted detection parameters based on the initial detection parameters and the overall attenuation coefficient, and calculates the parameter deviation distance based on the predicted detection parameters and the current multidimensional detection parameters. When the judgment module determines that the parameter deviation distance is greater than the preset permissible deviation distance, the processing module outputs a safety warning signal.
[0013] In summary, this application includes at least one of the following beneficial technical effects: During the use of battery packs, the degree of aging and degradation can be determined based on the changes in multi-dimensional parameters under the same working conditions. This allows for the determination of standard multi-dimensional parameters, which in turn enables early warning of safety conditions through multi-dimensional parameter comparison, thereby improving the early warning effect of the energy storage cabinet early warning system. In the process of determining the degree of aging and degradation, aging compensation can be performed in some cases, thereby improving the accuracy of data analysis. Attached Figure Description
[0014] Figure 1 This is a flowchart of a safety early warning method for energy storage cabinets that integrates multiple parameters.
[0015] Figure 2 This is a flowchart of a multi-parameter fusion safety early warning method for energy storage cabinets. Detailed Implementation
[0016] To make the purpose, technical solution, and advantages of this application clearer, the following is combined with Figures 1-2 The present application will be further described in detail below with reference to embodiments. It should be understood that the specific embodiments described herein are for illustrative purposes only and are not intended to limit the scope of the application.
[0017] The embodiments of this application will now be described in further detail with reference to the accompanying drawings.
[0018] This application discloses a multi-parameter fusion safety early warning method for energy storage cabinets, referring to... Figure 1 The method flow of the multi-parameter fusion safety early warning method for energy storage cabinets includes the following steps: Step S100: Obtain the multi-dimensional detection parameters of the battery pack, the operating conditions of the components, and the running time of the components.
[0019] Multidimensional detection parameters are the real-time feature vector parameters being monitored, such as voltage, temperature, temperature rise rate, internal resistance, etc., which can be determined by sensors installed in each energy storage cabinet; module operating conditions refer to the current operating conditions of the battery pack, including storage efficiency, etc.; module running time refers to the total time since the battery pack was put into use.
[0020] Step S101: Construct a component running interval with the current time point as the end point and a width equal to the component running time on the preset time axis, as well as a similar interval with a preset width equal to the similar time.
[0021] The time axis is a coordinate axis formed by combining various time points. This coordinate axis points from the time points that have been passed to the time points that have not yet been reached. The direction of the time points that have been passed is defined as forward. The similar duration is the maximum interval between two time points that are allowed when the equipment aging and degradation are considered to be similar, as set by the staff. The component operation range and similar interval are constructed to facilitate data collection and analysis.
[0022] Step S102: Within the similar interval, determine the farthest similar point and the farthest interval in the component operation interval based on the component operation conditions at each time point, and determine the point before matching attenuation and the point after matching attenuation based on the maximum farthest interval.
[0023] The farthest similarity point is the time point in the component's operating range that is the same as the operating condition of a component in a similar range and is farthest from the current time point. The farthest interval is the distance between the farthest similarity point and the current time point. Therefore, each operating condition of a component in a similar range corresponds to a farthest interval. The largest farthest interval indicates that the battery pack aging and degradation can be determined based on the corresponding time point. Therefore, this situation is used to analyze the aging situation. The point before degradation is the point with the largest farthest interval in the component's operating range, and the point after degradation is the point with the largest farthest interval in the similar range.
[0024] Step S103: Calculate and determine the single-cell attenuation coefficient based on the multi-dimensional detection parameters of the matching attenuation point before and after the matching attenuation point.
[0025] The single-cell degradation coefficient is the battery pack aging degradation value obtained from two data performances of the battery pack under the same operating conditions. Determining the aging status of the battery pack based on two sets of multi-dimensional detection parameters is a conventional technical method for those skilled in the art, and will not be elaborated here.
[0026] Step S104: Reconstruct a similar interval at the point before the matching decay to update the point before and after the matching decay, until the time interval between the point before the matching decay and the front end of the component running interval is less than the preset initial time, then stop updating the point before the matching decay.
[0027] The initial duration is the maximum allowable interval when the matching attenuation point determined by the staff is close to the time when the battery pack was first put into use. By continuously updating the similar interval to update the matching attenuation point and the matching attenuation point, the usage of the battery pack throughout its entire service life can be analyzed to determine the specific aging status.
[0028] Step S105: Calculate the overall attenuation coefficient based on the attenuation coefficients of all individual components, and determine the initial detection parameters corresponding to the current component operating conditions based on the preset initial matching relationship.
[0029] The overall attenuation coefficient is the sum of the attenuation coefficients of all individual cells, which reflects the aging and attenuation status of the current battery pack. The initial detection parameters are the multi-dimensional detection parameters that the battery pack will present under the current module operating conditions when it is first put into use and has not yet aged. The initial detection parameters are different for different module operating conditions. The initial matching relationship between the two is determined by the staff through multiple tests in advance, which will not be elaborated here.
[0030] Step S106: Calculate the predicted detection parameters based on the initial detection parameters and the overall attenuation coefficient, and calculate the parameter deviation distance based on the predicted detection parameters and the current multidimensional detection parameters.
[0031] The predicted detection parameters are the most standard multidimensional detection parameters that the battery pack should exhibit under normal use under the influence of the overall attenuation coefficient, based on the initial detection parameters. The parameter deviation distance is the deviation value between the predicted detection parameters and the current multidimensional detection parameters, and the Euclidean distance between the two can be calculated.
[0032] Step S107: Output a safety warning signal when the parameter deviation distance is greater than the preset permissible deviation distance.
[0033] The permissible deviation distance is the minimum parameter deviation distance that must be reached when the deviation of the data set by the staff is too large, i.e., when there is a safety problem with the battery pack. When the parameter deviation distance is greater than the permissible deviation distance, it indicates that there is a safety abnormality in the battery pack. At this time, a safety warning signal is output to identify the situation, thereby realizing the safety monitoring of the energy storage cabinet.
[0034] After determining the furthest time interval, the safety early warning method for energy storage cabinets based on multi-parameter fusion also includes: Step S200: Define the maximum farthest interval as the single upper limit duration, and construct a single unit interval based on the single upper limit duration and the preset single unit duration.
[0035] Define a single-time upper limit duration to identify the maximum traceable interval duration. The single-time unit duration is the maximum allowable difference between two durations that are relatively similar, as set by the staff. The value obtained by subtracting the single-time unit duration from the single-time upper limit duration is used as the lower endpoint. The single-time unit interval can be constructed with the single-time upper limit duration as the upper endpoint. At this time, the values in the single-time unit interval are all close to the single-time upper limit duration.
[0036] Step S201: Determine whether there is a maximum interval other than the maximum duration of a single interval within a single unit interval.
[0037] The purpose of this judgment is to determine whether there are other data that can be used for common reference, thereby reducing interference caused by the uniqueness of the data.
[0038] Step S2011: If there is no longest interval other than the single upper limit duration within a single unit interval, then determine the matching attenuation before point and the matching attenuation after point based on the single upper limit duration.
[0039] If there is no longest interval other than the maximum duration of a single interval within a single unit interval, it means that there is no other data for reference, and normal data analysis can be performed in this case.
[0040] Step S2012: If there is a furthest interval in a single unit interval other than the maximum duration of a single time, then determine the individual unit attenuation coefficient based on each furthest interval in the single unit interval.
[0041] When there is a maximum time interval other than the maximum duration of a single unit interval, it indicates that there are multiple data that can be referenced together. In this case, the individual attenuation coefficient that can be determined under each condition can be used for subsequent analysis.
[0042] Step S202: Calculate and analyze the attenuation coefficient of each individual cell to determine the reasonable attenuation coefficient, and determine the matching attenuation pre-attenuation point and matching attenuation post-attenuation point based on the farthest interval between the largest reasonable attenuation coefficients.
[0043] The attenuation reasonable coefficient is a parameter value that reflects whether the determined single-cell attenuation coefficient can reflect the actual aging and attenuation of the battery pack. The larger the value, the more reasonable the determined single-cell attenuation coefficient is. For the specific determination method, please refer to steps S300-S303. At this time, the matching attenuation pre-point and matching attenuation post-point can be determined based on the farthest interval of the maximum attenuation reasonable coefficient, which improves the accuracy of data analysis.
[0044] The steps for determining a reasonable attenuation coefficient based on the attenuation coefficient of each individual cell include: Step S300: Calculate and determine the unit attenuation coefficient based on the individual unit attenuation coefficient and the corresponding farthest interval time.
[0045] The unit attenuation coefficient is the coefficient of aging attenuation per unit time, which is determined by dividing the individual unit attenuation coefficient by the corresponding farthest interval time.
[0046] Step S301: Construct an internal attenuation interval based on the largest and smallest unit attenuation coefficients, and randomly generate a simulated unit coefficient within the internal attenuation interval.
[0047] The attenuation inner range is a numerical range formed by the largest and smallest unit attenuation coefficients as its two endpoints. The numerical values can be analyzed by randomly determining the simulated unit coefficients.
[0048] Step S302: Calculate and determine the simulated representative coefficient based on the simulated unit coefficient and all unit attenuation coefficients, and define the simulated unit coefficient with the largest simulated representative coefficient as the effective representative coefficient.
[0049] The simulated representative coefficient, or simulated unit coefficient, represents the feasibility parameter of all other unit attenuation coefficients. The larger the value, the more feasible it is. It is determined by averaging the absolute values of the differences between the simulated unit coefficient and the unit attenuation coefficient and then taking the reciprocal. The largest simulated representative coefficient indicates that the corresponding simulated unit coefficient best reflects the aging of the battery pack. Therefore, an effective representative coefficient is defined to facilitate subsequent analysis.
[0050] Step S303: Calculate and determine the reasonable attenuation coefficient based on the effective representative coefficient and the unit attenuation coefficient.
[0051] At this point, the closer the unit attenuation coefficient is to the effective representative coefficient, the more reasonable the corresponding value is, and the larger the corresponding reasonable attenuation coefficient is.
[0052] After the individual cell attenuation coefficient is determined, the multi-parameter fusion safety early warning method for energy storage cabinets also includes: Step S400: Define the unit attenuation coefficient of the determined unit attenuation coefficient as the unit compensation coefficient.
[0053] A unit compensation coefficient is defined to identify and distinguish different unit attenuation coefficients, facilitating subsequent analysis.
[0054] Step S401: Determine the attenuation compensation duration based on the end points of the similar intervals and the matching attenuation end points, and calculate the attenuation compensation coefficient based on the attenuation compensation duration and the unit compensation coefficient.
[0055] The attenuation compensation duration is the time interval between the end point of the similar interval and the end point of the matched attenuation. In other words, the aging of the equipment is not taken into account within this duration, and further analysis is required. The attenuation compensation coefficient is the parameter value that adjusts the determined individual attenuation coefficient. It is determined by multiplying the attenuation compensation duration by the unit compensation coefficient.
[0056] Step S402: Calculate and update the individual unit attenuation coefficient based on the attenuation compensation coefficient and the individual unit attenuation coefficient.
[0057] By adding the attenuation compensation coefficient to the individual cell attenuation coefficient, the individual cell attenuation coefficient can be updated and determined, thereby taking into account the aging attenuation during the attenuation compensation period and improving the accuracy of data analysis.
[0058] After constructing in similar intervals, the safety early warning method for energy storage cabinets based on multi-parameter fusion also includes: Step S500: Determine if there is a farthest similar point.
[0059] The purpose of this assessment is to determine whether data from previous tests under similar operating conditions can be used to analyze the aging of the battery pack.
[0060] Step S5001: If there is a farthest similar point, then determine the farthest time interval based on the farthest similar point.
[0061] When the furthest similarity point exists, it means that the battery pack aging condition can be analyzed by determining the data of the same working conditions ahead. In this case, it is normal to determine the furthest similarity point.
[0062] Step S5002: If there is no farthest similar point, then define the component operation condition of the current near interval back end point as a special operation condition.
[0063] When there is no farthest similarity point, it means that it is impossible to analyze the aging of the battery pack by determining the data of the same operating conditions ahead. Therefore, the operating condition of the component in this case is defined as a special operating condition for identification, which will facilitate subsequent analysis.
[0064] Step S501: Construct an exploration interval based on the endpoints of the current similar intervals and the front points of the component's operating interval, and determine the similarity of operating conditions within the exploration interval based on the component's operating conditions and special operating conditions at each time point.
[0065] Constructing an exploration interval allows for the identification of time intervals that can be traced back, facilitating subsequent analysis. The similarity of operating conditions reflects the similarity of operating conditions at two points in time. It can be determined by constructing corresponding feature vectors based on the operating conditions of components and then calculating the similarity of operating conditions using Euclidean distance. The smaller the Euclidean distance, the greater the similarity of the corresponding operating conditions.
[0066] Step S502: Determine the comparison interval based on each time point and the endpoint of the current similar interval, and determine the reference suitability based on the comparison interval and the similarity of working conditions.
[0067] The comparison interval is the time interval between each time point and the end point of the current similar interval. The reference suitability reflects the appropriate value for aging and decay of the corresponding time point. The larger the value, the more suitable it is. It is determined by dividing the operating condition similarity and the comparison interval by the comparison interval after unifying the dimensions according to the preset fixed parameters.
[0068] Step S503: Determine the time point corresponding to the highest reference suitability as the farthest similarity point to determine the farthest time interval.
[0069] At this point, the furthest similarity point is determined by using the time point corresponding to the highest reference suitability, which can effectively analyze the aging and degradation of the battery pack.
[0070] After the reference suitability is determined, the multi-parameter fusion safety early warning method for energy storage cabinets also includes: Step S600: Determine whether there are at least two reference goodness points with the same maximum goodness.
[0071] The purpose of this judgment is to determine whether there are multiple time points that meet the requirements, so as to identify the farthest similar point.
[0072] Step S6001: If there are no at least two time points with the same and highest reference fit, then the time point corresponding to the highest reference fit is determined as the farthest similarity point.
[0073] If there are no at least two reference points with the same and highest similarity, it means that there is only one time point that meets the requirements. In this case, it can be determined as the farthest similarity point.
[0074] Step S6002: If there are at least two time points with the same and highest reference fit, then the time point corresponding to the highest reference fit is determined as the candidate similarity point.
[0075] When there are at least two time points with the same and highest reference fitness, it indicates that there are multiple time points that meet the requirements, and therefore they are defined as candidate similarity points for subsequent analysis.
[0076] Step S601: Define the component operation condition of the candidate similar point as the candidate relative operation condition, and determine the farthest interval time within the exploration interval based on the candidate relative operation condition, and determine the candidate similar point corresponding to the largest farthest interval time as the farthest similar point.
[0077] Define alternative relative operating conditions to identify and distinguish the operating conditions of components with alternative similar points. At this time, the aging and decay time period that can be determined can be analyzed using the alternative relative operating conditions. The alternative similar point corresponding to the longest distance between these two points is the one that is convenient for subsequent data analysis, so it can be defined as the longest similar point.
[0078] Reference Figure 2 Based on the same inventive concept, embodiments of the present invention provide a multi-parameter fusion safety early warning system for energy storage cabinets, comprising: The acquisition module is used to acquire multi-dimensional detection parameters of the battery pack, component operating conditions, and component runtime. The processing module, connected to the acquisition and judgment modules, is used for information storage and processing; The judgment module, connected to the acquisition and processing modules, is used for judging information. The processing module constructs a component running interval with the current time point as the end point and a width equal to the component's running length, as well as a similar interval with a preset width equal to the similar duration on a preset time axis; The processing module determines the farthest similarity point and the farthest interval in the component operation range based on the component operation conditions at each time point within the similar range, and determines the point before matching attenuation and the point after matching attenuation based on the maximum farthest interval. The processing module calculates and determines the single-cell attenuation coefficient based on the multi-dimensional detection parameters of the matching attenuation point before and after the matching attenuation point. The processing module reconstructs a similar interval at the point before the matching decay to update the point before and after the matching decay, until the time interval between the point before the matching decay and the front end of the component's running interval is less than the preset initial time, at which point the update of the point before the matching decay stops. The processing module calculates the overall attenuation coefficient based on the attenuation coefficients of all individual components, and determines the initial detection parameters corresponding to the current component operating conditions based on the preset initial matching relationship. The processing module calculates the predicted detection parameters based on the initial detection parameters and the overall attenuation coefficient, and calculates the parameter deviation distance based on the predicted detection parameters and the current multidimensional detection parameters. When the judgment module determines that the parameter deviation distance is greater than the preset permissible deviation distance, the processing module outputs a safety warning signal; The common situation analysis module is used to analyze and process situations where multiple situations coexist. The attenuation reasonable coefficient determination module is used to calculate and determine the attenuation reasonable coefficient; The single-unit attenuation coefficient update module is used to update the determined single-unit attenuation coefficient. The farthest similarity point classification module is used to handle cases where the farthest similarity point cannot be determined. The time point filtering module is used to filter multiple time points that meet the requirements.
[0079] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the above-described division of functional modules is used as an example. In practical applications, the above functions can be assigned to different functional modules as needed, that is, the internal structure of the device can be divided into different functional modules to complete all or part of the functions described above. The specific working process of the system, device, and unit described above can be referred to the corresponding process in the foregoing method embodiments, and will not be repeated here.
Claims
1. A safety early warning method for energy storage cabinets based on multi-parameter fusion, characterized in that, include: Obtain multi-dimensional detection parameters of the battery pack, component operating conditions, and component runtime; Construct a component running interval with the current time point as the end point and a width equal to the component's running length on a preset timeline, as well as a similar interval with a preset width equal to the similar duration; Within the similar interval, the farthest similar point and the farthest interval are determined in the component operation interval based on the component operation conditions at each time point, and the point before matching attenuation and the point after matching attenuation are determined based on the maximum farthest interval. The individual cell attenuation coefficient is determined by calculating the multidimensional detection parameters at the point before and after the matched attenuation. At the point before the matching decay, a similar interval is reconstructed to update the point before and after the matching decay, until the time interval between the point before the matching decay and the beginning point of the component's running interval is less than the preset initial time, at which point the update of the point before the matching decay stops. The overall attenuation coefficient is determined by calculating the attenuation coefficient of each individual component, and the initial detection parameters corresponding to the current component operating conditions are determined based on the preset initial matching relationship. The predicted detection parameters are determined by calculating based on the initial detection parameters and the overall attenuation coefficient, and the parameter deviation distance is determined by calculating based on the predicted detection parameters and the current multidimensional detection parameters. A safety warning signal is output when the parameter deviation distance exceeds the preset allowable deviation distance.
2. The safety early warning method for multi-parameter fusion of energy storage cabinets according to claim 1, characterized in that, After determining the furthest time interval, the safety early warning method for energy storage cabinets based on multi-parameter fusion also includes: Define the maximum distance between intervals as the single-time upper limit, and construct the single-time unit interval based on the single-time upper limit and the preset single-time unit duration. Determine whether there exists a maximum interval of time other than the maximum duration of a single interval within a single unit interval; If there is no furthest interval other than the maximum duration of a single unit interval, then the point before and after the matching attenuation is determined based on the maximum duration of a single unit interval. If there is a furthest interval in a single unit interval other than the maximum duration of a single time, then the individual unit attenuation coefficient is determined based on each furthest interval in the single unit interval. The attenuation coefficient of each individual cell is calculated and analyzed to determine the reasonable attenuation coefficient. The point before and after the matching attenuation is determined based on the furthest time interval between the largest reasonable attenuation coefficients.
3. The safety early warning method for multi-parameter fusion of energy storage cabinets according to claim 2, characterized in that, The steps for determining a reasonable attenuation coefficient based on the attenuation coefficient of each individual cell include: The unit attenuation coefficient is determined by calculation based on the individual unit attenuation coefficient and the corresponding farthest interval time. Construct an internal attenuation interval based on the maximum and minimum unit attenuation coefficients, and randomly generate a simulated unit coefficient within the internal attenuation interval. The simulated representative coefficient is determined by calculation based on the simulated unit coefficient and all unit attenuation coefficients, and the simulated unit coefficient with the largest simulated representative coefficient is defined as the effective representative coefficient. The appropriate attenuation coefficient is determined by calculating the effective representative coefficient and the unit attenuation coefficient.
4. The safety early warning method for multi-parameter fusion of energy storage cabinets according to claim 3, characterized in that, After the individual cell attenuation coefficient is determined, the multi-parameter fusion safety early warning method for energy storage cabinets also includes: The unit attenuation coefficient of the determined single-unit attenuation coefficient is defined as the unit compensation coefficient. The attenuation compensation duration is determined based on the endpoints of similar intervals and the matching attenuation endpoints, and the attenuation compensation coefficient is calculated based on the attenuation compensation duration and the unit compensation coefficient. The attenuation coefficient of a single unit is corrected and updated based on the attenuation compensation coefficient and the attenuation coefficient of the single unit.
5. The safety early warning method for multi-parameter fusion of energy storage cabinets according to claim 1, characterized in that, After constructing in similar intervals, the safety early warning method for energy storage cabinets based on multi-parameter fusion also includes: Determine if a furthest similarity point exists; If a farthest similarity point exists, then the farthest time interval is determined based on the farthest similarity point; If there is no farthest similar point, then the component operation condition of the back end point of the current near interval is defined as a special operation condition; An exploration interval is constructed based on the endpoints of the current similar intervals and the front points of the component's operating interval. Within the exploration interval, the similarity of operating conditions is determined based on the component's operating conditions and special operating conditions at each time point. The comparison interval is determined based on each time point and the endpoint of the current similar interval, and the reference suitability is determined based on the comparison interval and the similarity of working conditions. The time point corresponding to the highest reference suitability is determined as the farthest similarity point to determine the farthest time interval.
6. The safety early warning method for multi-parameter fusion of energy storage cabinets according to claim 5, characterized in that, After the reference suitability is determined, the multi-parameter fusion safety early warning method for energy storage cabinets also includes: Determine if there are at least two reference time points with the same and highest suitability. If there are no at least two time points with the same and highest reference fit, then the time point corresponding to the highest reference fit is determined as the farthest similarity point. If there are at least two time points with the same and highest reference fit, then the time point corresponding to the highest reference fit is determined as the candidate similarity point. The component operation conditions of the candidate similar points are defined as candidate relative operation conditions, and the farthest interval time is determined within the exploration interval based on the candidate relative operation conditions. The candidate similar point corresponding to the largest farthest interval time is determined as the farthest similar point.
7. A multi-parameter fusion safety early warning system for energy storage cabinets, used to implement the multi-parameter fusion safety early warning method for energy storage cabinets as described in any one of claims 1-6, characterized in that, include: The acquisition module is used to acquire multi-dimensional detection parameters of the battery pack, component operating conditions, and component runtime. The processing module, connected to the acquisition and judgment modules, is used for information storage and processing; The judgment module, connected to the acquisition and processing modules, is used for judging information. The processing module constructs a component running interval with the current time point as the end point and a width equal to the component's running length, as well as a similar interval with a preset width equal to the similar duration on a preset time axis; The processing module determines the farthest similarity point and the farthest interval in the component operation range based on the component operation conditions at each time point within the similar range, and determines the point before matching attenuation and the point after matching attenuation based on the maximum farthest interval. The processing module calculates and determines the single-cell attenuation coefficient based on the multi-dimensional detection parameters of the matching attenuation point before and after the matching attenuation point. The processing module reconstructs a similar interval at the point before the matching decay to update the point before and after the matching decay, until the time interval between the point before the matching decay and the front end of the component's running interval is less than the preset initial time, at which point the update of the point before the matching decay stops. The processing module calculates the overall attenuation coefficient based on the attenuation coefficients of all individual components, and determines the initial detection parameters corresponding to the current component operating conditions based on the preset initial matching relationship. The processing module calculates the predicted detection parameters based on the initial detection parameters and the overall attenuation coefficient, and calculates the parameter deviation distance based on the predicted detection parameters and the current multidimensional detection parameters. When the judgment module determines that the parameter deviation distance is greater than the preset permissible deviation distance, the processing module outputs a safety warning signal.