A multi-battery pack combined use management system for an electric vehicle

Abstract

The application discloses a kind of electric vehicle multi-cell pack combined use management system, it is related to monitoring analysis technical field, it includes information acquisition module, for gathering the basic information corresponding to each battery pack and the load demand information corresponding to electric vehicle;Power distribution module, for the basic information corresponding to each battery pack is analyzed, the operating mode corresponding to each battery pack is confirmed, and then the power distribution information corresponding to each battery pack is confirmed based on operating mode and the load demand information corresponding to electric vehicle;Analysis module, for the basic information corresponding to each battery pack is analyzed and handled, according to the result of analysis and processing, each battery pack is analyzed safely, and early warning management strategy is formulated based on the result of safety analysis;Early warning module, for responding to early warning management strategy, and each battery pack is managed based on early warning management strategy.The application has the effect of improving the overall performance of electric vehicle.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of monitoring analysis, in particular to a multi-battery pack combined use management system for electric vehicles. BACKGROUND

[0002] With the popularization of electric vehicles, the performance and management of the battery system have become key factors for improving the endurance and efficiency of the vehicle.

[0003] In related technologies, in the management of the combined use of multiple battery packs of electric vehicles, there is a lack of analysis of the remaining power of each battery pack, which leads to the inability to dynamically adjust power distribution according to real-time demand, resulting in energy waste and uneven use of batteries. In addition, each battery pack is not detected and analyzed, so there is a certain risk in the use of the battery pack, which affects the overall performance of the electric vehicle and the user experience, and there is room for improvement. SUMMARY

[0004] In view of the deficiencies of the prior art, the present application provides a multi-battery pack combined use management system for electric vehicles.

[0005] In a first aspect, the present application provides a multi-battery pack combined use management system for electric vehicles, comprising:

[0006] An information collection module for collecting basic information corresponding to each battery pack and load demand information corresponding to the electric vehicle;

[0007] A power distribution module for analyzing the basic information corresponding to each battery pack, confirming the operating mode corresponding to each battery pack, and then confirming the power distribution information corresponding to each battery pack based on the operating mode and the load demand information corresponding to the electric vehicle;

[0008] An analysis module for analyzing and processing the basic information corresponding to each battery pack, performing safety analysis on each battery pack according to the results of the analysis and processing, and formulating a warning management strategy based on the results of the safety analysis;

[0009] A warning module for responding to the warning management strategy and managing each battery pack based on the warning management strategy.

[0010] Preferably, the basic information corresponding to each battery pack includes charge and discharge information, working time information, marking information, electrical information, and remaining power corresponding to each battery pack.

[0011] Preferably, the analysis of the basic information corresponding to each battery pack to confirm the operating mode corresponding to each battery pack specifically includes:

[0012] Obtain the basic information corresponding to each battery pack, and extract the remaining power Soci corresponding to each battery pack from the basic information, where i represents the number corresponding to each battery pack, i = 1, 2, 3...j;

[0013] The remaining power Soci of each battery pack is compared with the preset threshold range [S′,S″].

[0014] If the remaining charge Soci of each battery pack exceeds S″, then the operating mode of each battery pack is determined to be the high-efficiency operating mode.

[0015] If the remaining charge Soci of each battery pack is between [S′, S″], then the operating mode of each battery pack is determined to be the balanced operating mode.

[0016] If the remaining charge Soci of a battery pack is lower than S′, then the operating mode of each battery pack is determined to be the performance operating mode.

[0017] Preferably, the power allocation information for each battery pack is determined based on the operating mode and the load demand information corresponding to the electric vehicle, specifically including:

[0018] Obtain the operating mode corresponding to each battery pack and confirm the load requirement Pload corresponding to the electric vehicle;

[0019] When the operating mode corresponding to each battery pack is the high-efficiency operating mode, then the formula is used. Determine the output power Pi corresponding to each battery pack, where j represents the total number of battery packs;

[0020] When the operating mode corresponding to each battery pack is the balanced operating mode, then the formula is used. Determine the output power Pi corresponding to each battery pack;

[0021] When the operating mode corresponding to each battery pack is the performance operating mode, then the formula is used. The output power Pi corresponding to each battery pack is determined, where Pi-max represents the maximum output power corresponding to each battery pack.

[0022] Preferably, the basic information corresponding to each battery pack is analyzed and processed, a safety analysis is performed on each battery pack based on the analysis results, and an early warning management strategy is formulated based on the results of the safety analysis, specifically including:

[0023] The risk analysis of potential safety hazards in each battery pack during use is as follows:

[0024] Through formula Risk values ​​Riski, which indicate potential safety hazards during the use of each battery pack, are identified. Here, i represents the number of each battery pack, i = 1, 2, 3, ..., j; Ti, efi, and bji represent the working time, number of charge / discharge cycles, and number of marking cycles for the i-th battery pack, respectively; T′ represents the preset reference working time; ω1 and ω2 represent correction coefficients; a1 and a2 represent weighting coefficients; and e is a natural constant.

[0025] The risk value Riski for potential safety hazards in each battery pack during use is compared with the preset risk threshold R′.

[0026] If the risk value Riski for any of the battery packs does not exceed R′ during use, then there is no need to perform a safety analysis on each battery pack.

[0027] If the risk value Riski > R′ indicates a potential safety hazard during the use of the battery pack, then a safety analysis will be performed on the battery pack.

[0028] Preferably, the process of performing a safety analysis on the battery pack specifically includes:

[0029] Within a preset time period, acquire the electrical information corresponding to each battery pack, and extract the output voltage Vi and output current Ii corresponding to each battery pack from the electrical information;

[0030] Through formula The power deviation coefficient βi corresponding to each battery pack is determined, where pi′ represents the reference output power corresponding to the i-th battery pack, and [t1,t2] represents the preset time period;

[0031] The power deviation coefficient βi corresponding to each battery pack is compared with the preset deviation threshold β′.

[0032] If the power deviation coefficients of each battery pack do not exceed β′, then there is no need to formulate an early warning management strategy.

[0033] If there exists a power deviation coefficient βi > β′ corresponding to the battery pack, then an early warning management strategy is formulated for the battery pack.

[0034] Preferably, the process of developing an early warning management strategy includes:

[0035] Wi=(Riski-R′)*ψ1+(βi-β′)*ψ2

[0036] The comprehensive reference coefficient Wi for potential safety hazards of each battery pack during use is determined by the above formula, where ψ1 and ψ2 are the preset weighting coefficients.

[0037] The comprehensive reference coefficient Wi for safety hazards that occur in each battery pack during use is compared with the preset comprehensive reference threshold W′.

[0038] If the comprehensive reference coefficient Wi≤W′ indicates a potential safety hazard during battery pack use, then the battery pack needs to be monitored in real time.

[0039] If the comprehensive reference coefficient Wi > W′ indicates a potential safety hazard during battery pack use, an alarm signal should be output for the battery pack, and the battery pack should be adjusted based on a preset management method.

[0040] Preferably, the process of obtaining the number of marks specifically includes:

[0041] Within the selected time window, the temperature rise curve Temi(t) of each battery pack is collected in real time.

[0042] Through formula The temperature deviation coefficient γi corresponding to each battery pack is identified, where temi(t) represents the preset reference temperature rise curve corresponding to each battery pack, and [t3,t4] represents the selected time window.

[0043] The temperature deviation coefficient γi corresponding to each battery pack is compared with the preset temperature deviation threshold range [γ′,γ″].

[0044] If there is a temperature deviation coefficient γi < γ′ corresponding to the battery pack, then there is no need to mark the battery pack.

[0045] If the temperature deviation coefficient γi corresponding to the battery pack is between [γ′, γ″], then the battery pack needs to be marked once;

[0046] If there is a temperature deviation coefficient γi > γ″ corresponding to the battery pack, the battery pack needs to be marked once, and a warning message needs to be output to the management personnel.

[0047] Secondly, this application provides a method for managing the combined use of multiple battery packs in an electric vehicle, comprising the following steps:

[0048] Collect basic information for each battery pack and load demand information for the electric vehicle;

[0049] The basic information corresponding to each battery pack is analyzed to determine the operating mode of each battery pack, and then the power distribution information corresponding to each battery pack is determined based on the operating mode and the load demand information of the electric vehicle.

[0050] The basic information corresponding to each battery pack is analyzed and processed. Based on the results of the analysis and processing, a safety analysis is performed on each battery pack, and an early warning management strategy is formulated based on the results of the safety analysis.

[0051] The system responds to the warning management strategy and manages each battery pack based on the warning management strategy.

[0052] Thirdly, this application provides a computer-readable storage medium storing instructions that, when executed on a computer, cause the computer to perform any of the above-described electric vehicle multi-battery pack combined use management systems.

[0053] In summary, this application includes at least one of the following beneficial technical effects:

[0054] 1. This invention provides a management system for the combined use of multiple battery packs in electric vehicles. By collecting and analyzing the basic information of each battery pack, the operating mode of each battery pack is determined. Then, based on the operating mode and the load demand information of the electric vehicle, the power allocation information of each battery pack is determined. This effectively optimizes the management of battery resources and dynamically adjusts the power allocation according to real-time demand, thereby effectively reducing energy waste and uneven battery use.

[0055] 2. By analyzing and processing the basic information of each battery pack, a safety analysis is performed on each battery pack based on the analysis results, and an early warning management strategy is formulated based on the results of the safety analysis. This effectively detects and analyzes each battery pack, thereby effectively reducing the occurrence of safety hazards during the combined use of battery packs, and thus effectively improving the overall performance and user experience of electric vehicles. Attached Figure Description

[0056] To more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0057] Figure 1 This is a schematic diagram of a system for managing the combined use of multiple battery packs in an electric vehicle, as described in this application.

[0058] Figure 2 This is a flowchart illustrating the method for managing the combined use of multiple battery packs in an electric vehicle according to an embodiment of this application. Detailed Implementation

[0059] The following is in conjunction with the appendix Figures 1-2 This application will be described in further detail.

[0060] Example 1

[0061] This application discloses a management system for the combined use of multiple battery packs in electric vehicles.

[0062] Reference Figure 1 A multi-battery pack combined use management system for electric vehicles, comprising:

[0063] The information acquisition module is used to collect basic information of each battery pack and load demand information of the electric vehicle.

[0064] The power distribution module is used to analyze the basic information of each battery pack, determine the operating mode of each battery pack, and then determine the power distribution information of each battery pack based on the operating mode and the load demand information of the electric vehicle.

[0065] The analysis module is used to analyze and process the basic information corresponding to each battery pack, perform safety analysis on each battery pack based on the analysis results, and formulate early warning management strategies based on the results of the safety analysis.

[0066] The early warning module is used to respond to the early warning management strategy and manage each battery pack based on the early warning management strategy.

[0067] Specifically, the power distribution module includes multiple switching units and a power regulator, with each switching unit corresponding to a battery pack. The power regulation module is used to adjust the output power of each battery pack.

[0068] Furthermore, the basic information corresponding to each battery pack includes the remaining power, output current, output voltage, and temperature value of each battery pack.

[0069] It should be noted that the basic information of each battery pack is analyzed to determine the corresponding operating mode of each battery pack, specifically including:

[0070] Obtain the basic information corresponding to each battery pack, and extract the remaining power Soci corresponding to each battery pack from the basic information, where i represents the number corresponding to each battery pack, i = 1, 2, 3...j;

[0071] The remaining power Soci of each battery pack is compared with the preset threshold range [S′,S″].

[0072] If the remaining charge Soci of each battery pack exceeds S″, then the operating mode of each battery pack is determined to be the high-efficiency operating mode.

[0073] If the remaining charge Soci of each battery pack is between [S′, S″], then the operating mode of each battery pack is determined to be the balanced operating mode.

[0074] If the remaining charge Soci of a battery pack is lower than S′, then the operating mode of each battery pack is determined to be the performance operating mode.

[0075] Specifically, in this embodiment, the remaining power and load demand information of each battery pack are monitored in real time, and the operation module is dynamically adjusted according to the changes in the remaining power and load demand information of each battery pack. The preset threshold range is 40%-80%. If the remaining power Soci of each battery pack exceeds 80%, the operation mode of each battery pack is determined to be the high-efficiency operation mode. Before determining the operation mode of each battery pack to be the balanced operation mode, the number of battery packs with remaining power between 40% and 80% needs to be obtained. If the ratio of the number of battery packs to the total number of battery packs exceeds the preset ratio, the operation mode of each battery pack is further confirmed to be the balanced operation mode by judging whether the remaining power Soci of each battery pack is between [S′, S″]. If the remaining power Soci of a battery pack is less than 40%, the operation mode of each battery pack is determined to be the performance operation mode. If the load demand information of the electric vehicle exceeds the supply capacity of the current operation mode, the operation mode is automatically switched to the performance operation mode.

[0076] Specifically, different operating modes can be divided according to the remaining power of each battery pack, which can optimize the management of battery resources. The above method can dynamically adjust the battery usage strategy under different driving conditions, ensuring maximum range in high-efficiency operating mode, maintaining a balance between performance and efficiency in balanced operating mode, and providing the necessary power output in performance operating mode. This not only improves the overall energy efficiency and responsiveness of electric vehicles, but also extends the battery life.

[0077] It should be noted that the power allocation information for each battery pack is determined based on the operating mode and the load demand information corresponding to the electric vehicle, specifically including:

[0078] Obtain the operating mode corresponding to each battery pack and confirm the load requirement Pload corresponding to the electric vehicle;

[0079] When the operating mode corresponding to each battery pack is the high-efficiency operating mode, then the formula is used. Determine the output power Pi corresponding to each battery pack, where j represents the total number of battery packs;

[0080] When the operating mode corresponding to each battery pack is the balanced operating mode, then the formula is used. Determine the output power Pi corresponding to each battery pack;

[0081] When the operating mode corresponding to each battery pack is the performance operating mode, then the formula is used. The output power Pi corresponding to each battery pack is determined, where Pi-max represents the maximum output power corresponding to each battery pack.

[0082] Specifically, determining the power allocation information for each battery pack based on efficient operating mode, balanced operating mode, performance operating mode, and the load demand information of the electric vehicle can significantly optimize the overall performance and energy efficiency management of the electric vehicle. First, in efficient operating mode, through intelligent power allocation, the battery pack can operate within its optimal efficiency range, maximizing driving range and reducing unnecessary energy loss. Second, in balanced operating mode, an optimal balance between performance and efficiency can be achieved, ensuring that the vehicle can provide stable performance output under various driving conditions while extending battery life. Furthermore, in performance operating mode, power allocation can be dynamically adjusted to meet high load demands, providing strong power output and excellent acceleration performance. The aforementioned power allocation strategy based on operating mode and demand not only improves the responsiveness and driving experience of the electric vehicle but also reduces battery aging by optimizing battery usage, thereby lowering long-term operating costs.

[0083] It should be noted that the basic information corresponding to each battery pack is analyzed and processed. Based on the results of the analysis and processing, a safety analysis is performed on each battery pack, and an early warning management strategy is formulated based on the results of the safety analysis. Specifically, this includes:

[0084] The risk analysis of potential safety hazards in each battery pack during use is as follows:

[0085] Through formula Risk values ​​Riski, which indicate potential safety hazards during the use of each battery pack, are identified. Here, i represents the number of each battery pack, i = 1, 2, 3, ..., j; Ti, efi, and bji represent the working time, number of charge / discharge cycles, and number of marking cycles for the i-th battery pack, respectively; T′ represents the preset reference working time; ω1 and ω2 represent correction coefficients; a1 and a2 represent weighting coefficients; and e is a natural constant.

[0086] Specifically, the number of charge and discharge cycles for each battery pack can be obtained through the battery management system. In this embodiment, as the number of charge and discharge cycles increases, the battery capacity will gradually decrease, resulting in a decrease in battery life. Furthermore, frequent charge and discharge cycles will increase the battery's internal resistance, affecting charge and discharge efficiency and battery performance, thereby increasing the risk of safety hazards during battery pack use.

[0087] The risk value Riski for potential safety hazards in each battery pack during use is compared with the preset risk threshold R′.

[0088] If the risk value Riski for any of the battery packs does not exceed R′ during use, then there is no need to perform a safety analysis on each battery pack.

[0089] If the risk value Riski > R′ indicates a potential safety hazard during the use of the battery pack, then a safety analysis will be performed on the battery pack.

[0090] It should be noted that the process of conducting a safety analysis of the battery pack specifically includes:

[0091] Within a preset time period, acquire the electrical information corresponding to each battery pack, and extract the output voltage Vi and output current Ii corresponding to each battery pack from the electrical information;

[0092] Through formula The power deviation coefficient βi corresponding to each battery pack is determined, where pi′ represents the reference output power corresponding to the i-th battery pack, and [t1,t2] represents the preset time period;

[0093] The power deviation coefficient βi corresponding to each battery pack is compared with the preset deviation threshold β′.

[0094] If the power deviation coefficients of each battery pack do not exceed β′, then there is no need to formulate an early warning management strategy.

[0095] If there exists a power deviation coefficient βi > β′ corresponding to the battery pack, then an early warning management strategy is formulated for the battery pack.

[0096] Furthermore, the process of developing early warning management strategies specifically includes:

[0097] Wi=(Riski-R′)*ψ1+(βi-β′)*ψ2

[0098] The comprehensive reference coefficient Wi for potential safety hazards of each battery pack during use is determined by the above formula, where ψ1 and ψ2 are the preset weighting coefficients.

[0099] The comprehensive reference coefficient Wi for safety hazards that occur in each battery pack during use is compared with the preset comprehensive reference threshold W′.

[0100] If the comprehensive reference coefficient Wi≤W′ indicates a potential safety hazard during battery pack use, then the battery pack needs to be monitored in real time.

[0101] If the comprehensive reference coefficient Wi > W′ indicates a potential safety hazard during battery pack use, an alarm signal should be output for the battery pack, and the battery pack should be adjusted based on a preset management method.

[0102] Furthermore, the process of obtaining the number of markers specifically includes:

[0103] Within the selected time window, the temperature rise curve Temi(t) of each battery pack is collected in real time.

[0104] Through formula The temperature deviation coefficient γi corresponding to each battery pack is identified, where temi(t) represents the preset reference temperature rise curve corresponding to each battery pack, and [t3,t4] represents the selected time window.

[0105] The temperature deviation coefficient γi corresponding to each battery pack is compared with the preset temperature deviation threshold range [γ′,γ″].

[0106] If there is a temperature deviation coefficient γi < γ′ corresponding to the battery pack, then there is no need to mark the battery pack.

[0107] If the temperature deviation coefficient γi corresponding to the battery pack is between [γ′, γ″], then the battery pack needs to be marked once;

[0108] If there is a temperature deviation coefficient γi > γ″ corresponding to the battery pack, the battery pack needs to be marked once, and a warning message needs to be output to the management personnel.

[0109] Example 2

[0110] This application also discloses a method for managing the combined use of multiple battery packs in an electric vehicle.

[0111] Reference Figure 2 A method for managing the combined use of multiple battery packs in an electric vehicle includes the following steps:

[0112] Collect basic information for each battery pack and load demand information for the electric vehicle;

[0113] The basic information corresponding to each battery pack is analyzed to determine the operating mode of each battery pack, and then the power distribution information corresponding to each battery pack is determined based on the operating mode and the load demand information of the electric vehicle.

[0114] The basic information corresponding to each battery pack is analyzed and processed. Based on the results of the analysis and processing, a safety analysis is performed on each battery pack, and an early warning management strategy is formulated based on the results of the safety analysis.

[0115] The system responds to the warning management strategy and manages each battery pack based on the warning management strategy.

[0116] The above content is merely an example and illustration of the concept of the present invention. Those skilled in the art can make various modifications or additions to the specific embodiments described or use similar methods to replace them, as long as they do not deviate from the concept of the invention, they should all fall within the protection scope of the present invention.

[0117] In the description of this specification, references to terms such as "an embodiment," "example," "specific example," etc., indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of the invention. In this specification, illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples.

[0118] The preferred embodiments of the present invention disclosed above are merely illustrative of the invention. These preferred embodiments do not exhaustively describe all details, nor do they limit the invention to any specific implementation. Clearly, many modifications and variations can be made based on the content of this specification. This specification selects and specifically describes these embodiments to better explain the principles and practical applications of the invention, thereby enabling those skilled in the art to better understand and utilize the invention.

Claims

1. A management system for the combined use of multiple battery packs in an electric vehicle, characterized in that, include: The information acquisition module is used to collect basic information of each battery pack and load demand information of the electric vehicle. The basic information corresponding to each battery pack includes charging and discharging information, working duration information, marking information, electrical information and remaining power for each battery pack; The power distribution module is used to analyze the basic information corresponding to each battery pack, determine the operating mode corresponding to each battery pack, and then determine the power distribution information corresponding to each battery pack based on the operating mode and the load demand information corresponding to the electric vehicle. The analysis module is used to analyze and process the basic information corresponding to each battery pack, perform safety analysis on each battery pack based on the analysis results, and formulate early warning management strategies based on the results of the safety analysis. The basic information corresponding to each battery pack is analyzed and processed. Based on the analysis results, a safety analysis is performed on each battery pack, and an early warning management strategy is formulated based on the results of the safety analysis. Specifically, this includes: The risk analysis of potential safety hazards in each battery pack during use is as follows: Through formula The risk value (Risk) for potential safety hazards during the use of each battery pack was identified. i Where i represents the number corresponding to each battery pack, i = 1, 2, 3, ..., j; T i ef i bj i Let T' represent the working time, number of charge / discharge cycles, and number of marking cycles corresponding to the i-th battery pack, respectively; T' represent the preset reference working time; ω1 and ω2 represent the correction coefficients, respectively; a1 and a2 represent the weighting coefficients, respectively; and e is the natural constant. Risk values ​​for potential safety hazards that may occur during the use of each battery pack i Compare with the preset risk threshold R′; Risk value if safety hazards arise during the use of each battery pack i If none of them exceed R′, then there is no need to perform a safety analysis on each battery pack; Risk value if there is a potential safety hazard during battery pack use i If >R′, then a safety analysis is performed on the battery pack; The process of performing a safety analysis on a battery pack specifically includes: Within a preset time period, acquire electrical information corresponding to each battery pack, and extract the output voltage V corresponding to each battery pack from the electrical information. i and output current I i ; Through formula The power deviation coefficient β corresponding to each battery pack was identified. i , where p i ' represents the reference output power corresponding to the i-th battery pack, and [t1,t2] represents the preset time period; The power deviation coefficient β corresponding to each battery pack i Compare with the preset deviation threshold β′; If the power deviation coefficients of each battery pack do not exceed β′, then there is no need to formulate an early warning management strategy. If there exists a power deviation coefficient β corresponding to the battery pack i If the value is greater than β′, then an early warning management strategy is formulated for the battery pack. The early warning module is used to respond to the early warning management strategy and manage each battery pack based on the early warning management strategy.

2. The electric vehicle multi-battery pack combined use management system according to claim 1, characterized in that, The basic information of each battery pack is analyzed to determine the corresponding operating mode, including: Obtain the basic information corresponding to each battery pack, and extract the remaining power Soc corresponding to each battery pack from the basic information. i Where i represents the number corresponding to each battery pack, i = 1, 2, 3, ..., j; The remaining power Soc corresponding to each battery pack i Compare with the preset threshold interval [S′,S″]; If the remaining power Soc corresponding to each battery pack i If all exceed S″, then the operating mode corresponding to each battery pack is determined to be the high-efficiency operating mode; If the remaining power Soc corresponding to each battery pack i When all values ​​are between [S′, S″], the operating mode of each battery pack is determined to be the balanced operating mode. If there is a remaining charge (Soc) corresponding to the battery pack i If the value is below S′, then the operating mode corresponding to each battery pack is determined to be the performance operating mode.

3. The electric vehicle multi-battery pack combined use management system according to claim 2, characterized in that, Based on the operating mode and the load demand information corresponding to the electric vehicle, the power allocation information corresponding to each battery pack is determined, specifically including: Obtain the operating mode corresponding to each battery pack and confirm the load requirement P of the electric vehicle. load ; When the operating mode corresponding to each battery pack is the high-efficiency operating mode, then the formula is used. Confirm the output power P corresponding to each battery pack i , where j represents the total number of battery packs; When the operating mode corresponding to each battery pack is the balanced operating mode, then the formula is used. Confirm the output power P corresponding to each battery pack i ; When the operating mode corresponding to each battery pack is the performance operating mode, then the formula is used. Confirm the output power P corresponding to each battery pack i , where P i-max This represents the maximum output power corresponding to each battery pack.

4. The electric vehicle multi-battery pack combined use management system according to claim 1, characterized in that, The process of developing an early warning management strategy specifically includes: W i =(Risk i -R′)*ψ1+(β i -β′)*ψ2 The above formula is used to determine the comprehensive reference coefficient W for potential safety hazards of each battery pack during use. i , where ψ1 and ψ2 represent the preset weight coefficients; The comprehensive reference coefficient W for safety hazards that may occur during the use of each battery pack. i Compare with the preset comprehensive reference threshold W′; If there are potential safety hazards in the battery pack during use, a comprehensive reference factor W is required. i When W' is less than or equal to W', the battery pack needs to be monitored in real time. If there are potential safety hazards in the battery pack during use, a comprehensive reference factor W is required. i When the value is greater than W′, an alarm signal needs to be output for the battery pack, and the battery pack needs to be adjusted based on a preset management method.

5. The electric vehicle multi-battery pack combined use management system according to claim 1, characterized in that, The process of obtaining the number of markers specifically includes: Within the selected time window, the temperature rise curves (Tem) of each battery pack are collected in real time. i (t); Through formula The temperature deviation coefficient γi corresponding to each battery pack was identified, where tem i (t) represents the preset reference temperature rise curve for each battery pack, and [t3,t4] represents the selected time window; The temperature deviation coefficient γi corresponding to each battery pack is compared with the preset temperature deviation threshold range [γ′,γ″]. If there is a temperature deviation coefficient γi < γ′ corresponding to the battery pack, then there is no need to mark the battery pack. If the temperature deviation coefficient γi corresponding to the battery pack is between [γ′, γ″], then the battery pack needs to be marked once; If there is a temperature deviation coefficient γi > γ″ corresponding to the battery pack, the battery pack needs to be marked once, and a warning message needs to be output to the management personnel.

6. A method for managing the combined use of multiple battery packs in an electric vehicle, applied to the management system for the combined use of multiple battery packs in an electric vehicle as described in any one of claims 1-5, characterized in that, Includes the following steps: Collect basic information for each battery pack and load demand information for the electric vehicle; The basic information corresponding to each battery pack includes charging and discharging information, working duration information, marking information, electrical information and remaining power for each battery pack; The basic information corresponding to each battery pack is analyzed to determine the operating mode of each battery pack, and then the power distribution information corresponding to each battery pack is determined based on the operating mode and the load demand information of the electric vehicle. The basic information corresponding to each battery pack is analyzed and processed. Based on the results of the analysis and processing, a safety analysis is performed on each battery pack, and an early warning management strategy is formulated based on the results of the safety analysis. The basic information corresponding to each battery pack is analyzed and processed. Based on the analysis results, a safety analysis is performed on each battery pack, and an early warning management strategy is formulated based on the results of the safety analysis. Specifically, this includes: The risk analysis of potential safety hazards in each battery pack during use is as follows: Through formula The risk value (Risk) for potential safety hazards during the use of each battery pack was identified. i Where i represents the number corresponding to each battery pack, i = 1, 2, 3, ..., j; T i ef i bj i Let T' represent the working time, number of charge / discharge cycles, and number of marking cycles corresponding to the i-th battery pack, respectively; T' represent the preset reference working time; ω1 and ω2 represent the correction coefficients, respectively; a1 and a2 represent the weighting coefficients, respectively; and e is the natural constant. Risk values ​​for potential safety hazards that may occur during the use of each battery pack i Compare with the preset risk threshold R′; Risk value if safety hazards arise during the use of each battery pack i If none of them exceed R′, then there is no need to perform a safety analysis on each battery pack; Risk value if there is a potential safety hazard during battery pack use i If >R′, then a safety analysis is performed on the battery pack; The process of performing a safety analysis on a battery pack specifically includes: Within a preset time period, acquire electrical information corresponding to each battery pack, and extract the output voltage V corresponding to each battery pack from the electrical information. i and output current I i ; Through formula The power deviation coefficient β corresponding to each battery pack was identified. i , where p i ' represents the reference output power corresponding to the i-th battery pack, and [t1,t2] represents the preset time period; The power deviation coefficient β corresponding to each battery pack i Compare with the preset deviation threshold β′; If the power deviation coefficients of each battery pack do not exceed β′, then there is no need to formulate an early warning management strategy. If there exists a power deviation coefficient β corresponding to the battery pack i If the value is greater than β′, then an early warning management strategy is formulated for the battery pack. The system responds to the warning management strategy and manages each battery pack based on the warning management strategy.

7. A computer-readable storage medium, characterized in that: The system stores instructions that, when executed on a computer, cause the computer to perform a multi-battery pack combined use management system for electric vehicles as described in any one of claims 1 to 5.

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