Management system for combined use of multiple battery packs of electric vehicle

Abstract

The invention discloses a management system for combined use of multiple battery packs of an electric vehicle, and relates to the technical field of monitoring analysis, and the system comprises an information collection module which is used for collecting basic information corresponding to each battery pack and load demand information corresponding to the electric vehicle; the power distribution module is used for analyzing the basic information corresponding to each battery pack, determining the operation mode corresponding to each battery pack, and further determining the power distribution information corresponding to each battery pack based on the operation mode and the load demand information corresponding to the electric vehicle; the analysis module is used for analyzing and processing the basic information corresponding to each battery pack, performing safety analysis on each battery pack according to an analysis and processing result, and formulating an early warning management strategy based on a safety analysis result; and the early warning module is used for responding to the early warning management strategy and managing each battery pack based on the early warning management strategy. The effect of improving the overall performance of the electric vehicle is achieved.

Description

Technical Field

[0001] The present application relates to the field of monitoring and analysis technology, and in particular to a management system for the combined use of multiple battery packs in electric vehicles. Background Art

[0002] As electric vehicles become more popular, the performance and management of battery systems become key factors in improving vehicle range and efficiency.

[0003] In the related art, in the management of the combined use of multiple battery packs in electric vehicles, there is a lack of analysis of the remaining power of each battery pack, which makes it impossible 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 tested and analyzed, which makes the battery packs present certain risks during use, which in turn affects the overall performance and user experience of the electric vehicle. There is room for improvement. Summary of the invention

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

[0005] In a first aspect, the present application provides a management system for combined use of multiple battery packs in an electric vehicle, comprising:

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

[0007] A power allocation module, used to analyze the basic information corresponding to each battery pack, confirm the operation mode corresponding to each battery pack, and then confirm the power allocation information corresponding to each battery pack based on the operation mode and the load demand information corresponding to the electric vehicle;

[0008] An analysis module is used to analyze and process the basic information corresponding to each battery pack, perform safety analysis on each battery pack according to the results of the analysis and processing, and formulate an early warning management strategy based on the results of the safety analysis;

[0009] 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.

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

[0011] Preferably, the basic information corresponding to each battery pack is analyzed to determine the operation mode corresponding to each battery pack, specifically including:

[0012] Obtain 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] Compare the remaining power Soci corresponding to each battery pack with the preset threshold interval [S′, S″];

[0014] If the remaining power Soci corresponding to each battery pack exceeds S″, it is determined that the operation mode corresponding to each battery pack is the high-efficiency operation mode;

[0015] If the remaining power Soci corresponding to each battery pack is between [S′, S″], it is determined that the operation mode corresponding to each battery pack is a balanced operation mode;

[0016] If the remaining power Soci corresponding to a battery pack is lower than S′, it is determined that the operation mode corresponding to each battery pack is the performance operation mode.

[0017] Preferably, the power distribution information corresponding to each battery pack is determined based on the operation 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 demand Pload corresponding to the electric vehicle;

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

[0020] When the operation mode corresponding to each battery pack is the balanced operation mode, the formula Confirm the output power Pi corresponding to each battery pack;

[0021] When the operating mode corresponding to each battery pack is the performance operating mode, the formula The output power Pi corresponding to each battery pack is confirmed, wherein 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, and a safety analysis is performed on each battery pack according to the results of the analysis and processing, and an early warning management strategy is formulated based on the results of the safety analysis, specifically including:

[0023] Analyze the risks of potential safety hazards of each battery pack during use. The analysis process is as follows:

[0024] By formula Identify the risk value Riski of potential safety hazards in the use of each battery pack, where i represents the number of each battery pack, i=1,2,3...j; Ti, efi, bji represent the working time, charge and discharge times, and marking times of the i-th battery pack, respectively; T′ represents the preset reference working time; ω1 and ω2 represent the correction coefficients, respectively; a1 and a2 represent the weight coefficients, respectively; and e is a natural constant;

[0025] Compare the risk value Riski of potential safety hazards of each battery pack during use with the preset risk threshold R′;

[0026] If the risk value Riski of safety hazards in the use of each battery pack does not exceed R′, there is no need to conduct safety analysis on each battery pack;

[0027] If there is a risk value Riski>R′ of potential safety hazards in the battery pack during use, a safety analysis is performed on the battery pack.

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

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

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

[0031] Compare the power deviation coefficient βi corresponding to each battery pack with the preset deviation threshold β′;

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

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

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

[0035] Wi=(Riski-R′)*ψ1+(βi-β′)*ψ2

[0036] The above formula is used to determine the comprehensive reference coefficient Wi of potential safety hazards of each battery pack during use, where ψ1 and ψ2 represent preset weight coefficients respectively;

[0037] Compare the comprehensive reference coefficient Wi of potential safety hazards of each battery pack during use with the preset comprehensive reference threshold W′;

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

[0039] If the comprehensive reference coefficient Wi>W′ of a potential safety hazard of the battery pack during use exists, 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.

[0040] Preferably, the process of obtaining the marking times specifically includes:

[0041] In the selected time window, the temperature rise curve Temi(t) corresponding to each battery pack is collected in real time;

[0042] By formula Determine the temperature deviation coefficient γi corresponding to each battery pack, where temi(t) represents the preset reference temperature rise curve corresponding to each battery pack, and [t3, t4] represents the selected time window;

[0043] Compare the temperature deviation coefficient γi corresponding to each battery pack with the preset temperature deviation threshold range [γ′,γ″];

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

[0045] If there is a battery pack whose corresponding temperature deviation coefficient γi is between [γ′,γ″], 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] In a second aspect, the present 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 corresponding to each battery pack and load demand information corresponding to the electric vehicle;

[0049] Analyze the basic information corresponding to each battery pack to determine the operation mode corresponding to each battery pack, and then determine the power distribution information corresponding to each battery pack based on the operation mode and the load demand information corresponding to the electric vehicle;

[0050] Analyze and process the basic information corresponding to each battery pack, perform safety analysis on each battery pack based on the results of the analysis and processing, and formulate an early warning management strategy based on the results of the safety analysis;

[0051] Respond to the early warning management strategy and manage each battery pack based on the early warning management strategy.

[0052] In a third aspect, the present application provides a computer-readable storage medium storing instructions, which, when executed on a computer, enables the computer to execute any one of the above-mentioned electric vehicle multi-battery pack combined use management systems.

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

[0054] 1. The present invention provides a management system for the combined use of multiple battery packs in electric vehicles. By collecting and analyzing the basic information corresponding to each battery pack, the operating mode corresponding to each battery pack is confirmed, and then the power allocation information corresponding to each battery pack is confirmed based on the operating mode and the load demand information corresponding to the electric vehicle, so as to effectively optimize the management of battery resources and dynamically adjust the power allocation according to real-time needs, thereby effectively reducing energy waste and the occurrence of unbalanced battery use;

[0055] 2. By analyzing and processing the basic information corresponding to each battery pack, conducting a safety analysis on each battery pack based on the results of the analysis and processing, and formulating an early warning management strategy based on the results of the safety analysis, each battery pack can be effectively tested and analyzed, thereby effectively reducing the risk of safety hazards in the process of combined use of each battery pack, thereby effectively improving the overall performance and user experience of electric vehicles. BRIEF DESCRIPTION OF THE DRAWINGS

[0056] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for describing the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0057] Figure 1 It is a system diagram for the combined use and management of multiple battery packs in an electric vehicle according to an embodiment of the present application.

[0058] Figure 2 It is a flow chart of a method for managing the combined use of multiple battery packs in an electric vehicle according to an embodiment of the present application. DETAILED DESCRIPTION

[0059] The following is combined with Figure 1-2 This application is described in further detail.

[0060] Example 1

[0061] The embodiment of the present application discloses a management system for the combined use of multiple battery packs in an electric vehicle.

[0062] Reference Figure 1 , a management system for combined use of multiple battery packs in electric vehicles, comprising:

[0063] An information collection module is used to collect basic information corresponding to each battery pack and load demand information corresponding to the electric vehicle;

[0064] A power allocation module, used to analyze the basic information corresponding to each battery pack, confirm the operation mode corresponding to each battery pack, and then confirm the power allocation information corresponding to each battery pack based on the operation mode and the load demand information corresponding to the electric vehicle;

[0065] An analysis module is used to analyze and process the basic information corresponding to each battery pack, perform safety analysis on each battery pack according to the results of the analysis and processing, and formulate an early warning management strategy 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 a plurality of switch units and a power regulator, and each switch unit corresponds to a battery pack, and the power regulation module is used to regulate 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 corresponding to each battery pack.

[0069] It should be noted that the basic information corresponding to each battery pack is analyzed to confirm the operation mode corresponding to each battery pack, including:

[0070] Obtain 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] Compare the remaining power Soci corresponding to each battery pack with the preset threshold interval [S′, S″];

[0072] If the remaining power Soci corresponding to each battery pack exceeds S″, it is determined that the operation mode corresponding to each battery pack is the high-efficiency operation mode;

[0073] If the remaining power Soci corresponding to each battery pack is between [S′, S″], it is determined that the operation mode corresponding to each battery pack is a balanced operation mode;

[0074] If the remaining power Soci corresponding to a battery pack is lower than S′, it is determined that the operation mode corresponding to each battery pack is the performance operation mode.

[0075] Specifically, in the embodiment of the present application, the remaining power and load demand information corresponding to 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 corresponding to each battery pack, and the preset threshold interval is 40%-80%. If the remaining power Soci corresponding to each battery pack exceeds 80%, the operation mode corresponding to each battery pack is determined to be the high-efficiency operation mode. Before determining that the operation mode corresponding to each battery pack is the balanced operation mode, it is necessary to obtain the number of battery packs with a remaining power between 40% and 80%. If the ratio of the above number of battery packs to the total number of battery packs exceeds the preset ratio, it is further determined whether the remaining power Soci corresponding to each battery pack is between [S′, S″], and then confirm that the operation mode corresponding to each battery pack is the balanced operation mode. If there is a battery pack with a remaining power Soci lower than 40%, it is determined that the operation mode corresponding to each battery pack is the performance operation mode. If the load demand information corresponding to the electric vehicle exceeds the supply capacity of the current operation mode, it automatically switches to the performance operation mode.

[0076] Specifically, by dividing different operating modes according to the remaining power of each battery pack, optimal management of battery resources can be achieved. The above method can dynamically adjust the battery usage strategy under different driving conditions, ensure maximum endurance in the high-efficiency operating mode, maintain a balance between performance and efficiency in the balanced operating mode, and provide necessary power output in the performance operating mode, which not only improves the overall energy efficiency and responsiveness of the electric vehicle, but also extends the battery life.

[0077] It should be noted that the power distribution information corresponding to each battery pack is determined based on the operation 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 demand Pload corresponding to the electric vehicle;

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

[0080] When the operation mode corresponding to each battery pack is the balanced operation mode, the formula Confirm the output power Pi corresponding to each battery pack;

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

[0082] Specifically, confirming the power distribution information of each battery pack based on the high-efficiency operation mode, balanced operation mode, performance operation mode and load demand information of the electric vehicle can significantly optimize the overall performance and energy efficiency management of the electric vehicle. First, in the high-efficiency operation mode, by intelligently allocating power, the battery pack can operate in the optimal efficiency range, maximize the cruising range and reduce unnecessary energy loss. Secondly, in the balanced operation mode, it can achieve the best balance between performance and efficiency to ensure that the vehicle can provide stable performance output under various driving conditions while extending battery life. In addition, in the performance operation mode, it can dynamically adjust power distribution to meet high load demands, provide strong power output and excellent acceleration performance. The above power distribution strategy based on operation mode and demand not only improves the responsiveness and driving experience of electric vehicles, but also reduces the battery aging rate by optimizing battery use, thereby reducing long-term use costs.

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

[0084] Analyze the risks of potential safety hazards of each battery pack during use. The analysis process is as follows:

[0085] By formula Identify the risk value Riski of potential safety hazards in the use of each battery pack, where i represents the number of each battery pack, i=1,2,3...j; Ti, efi, bji represent the working time, charge and discharge times, and marking times of the i-th battery pack, respectively; T′ represents the preset reference working time; ω1 and ω2 represent the correction coefficients, respectively; a1 and a2 represent the weight coefficients, respectively; and e is a natural constant;

[0086] Specifically, the number of charge and discharge times corresponding to each battery pack can be obtained through the battery management system, and in the embodiment of the present application, as the number of charge and discharge times increases, the capacity of the battery will gradually decrease, resulting in a decrease in battery life, and frequent charge and discharge will increase the internal resistance of the battery, affecting the charge and discharge efficiency and battery performance, thereby increasing the risk value of safety hazards in the battery pack during use;

[0087] Compare the risk value Riski of potential safety hazards of each battery pack during use with the preset risk threshold R′;

[0088] If the risk value Riski of safety hazards in the use of each battery pack does not exceed R′, there is no need to conduct safety analysis on each battery pack;

[0089] If there is a risk value Riski>R′ of potential safety hazards in the battery pack during use, a safety analysis is performed on the battery pack.

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

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

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

[0093] Compare the power deviation coefficient βi corresponding to each battery pack with the preset deviation threshold β′;

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

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

[0096] Furthermore, the process of developing an early warning management strategy includes:

[0097] Wi=(Riski-R′)*ψ1+(βi-β′)*ψ2

[0098] The above formula is used to determine the comprehensive reference coefficient Wi of potential safety hazards of each battery pack during use, where ψ1 and ψ2 represent preset weight coefficients respectively;

[0099] Compare the comprehensive reference coefficient Wi of potential safety hazards of each battery pack during use with the preset comprehensive reference threshold W′;

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

[0101] If the comprehensive reference coefficient Wi>W′ of a potential safety hazard of the battery pack during use exists, 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.

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

[0103] In the selected time window, the temperature rise curve Temi(t) corresponding to each battery pack is collected in real time;

[0104] By formula Determine the temperature deviation coefficient γi corresponding to each battery pack, where temi(t) represents the preset reference temperature rise curve corresponding to each battery pack, and [t3, t4] represents the selected time window;

[0105] Compare the temperature deviation coefficient γi corresponding to each battery pack with the preset temperature deviation threshold range [γ′,γ″];

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

[0107] If there is a battery pack whose corresponding temperature deviation coefficient γi is between [γ′,γ″], 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] The embodiment of the present 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 comprises the following steps:

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

[0113] Analyze the basic information corresponding to each battery pack to determine the operation mode corresponding to each battery pack, and then determine the power distribution information corresponding to each battery pack based on the operation mode and the load demand information corresponding to the electric vehicle;

[0114] Analyze and process the basic information corresponding to each battery pack, perform safety analysis on each battery pack based on the results of the analysis and processing, and formulate an early warning management strategy based on the results of the safety analysis;

[0115] Respond to the early warning management strategy and manage each battery pack based on the early warning management strategy.

[0116] The above contents are merely examples and explanations of the concept of the present invention. Those skilled in the art may make various modifications or additions to the specific embodiments described or replace them in a similar manner. 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, the description with reference to the terms "one embodiment", "example", "specific example", etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any one or more embodiments or examples in a suitable manner.

[0118] The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to specific implementation methods. Obviously, many modifications and changes can be made according to the content of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that those skilled in the art can understand and use the present invention well.

Claims

1. A management system for the combined use of multiple battery packs in electric vehicles, characterized in that: include: An information collection module is used to collect basic information corresponding to each battery pack and load demand information corresponding to the electric vehicle; A power allocation module, used to analyze the basic information corresponding to each battery pack, confirm the operation mode corresponding to each battery pack, and then confirm the power allocation information corresponding to each battery pack based on the operation mode and the load demand information corresponding to the electric vehicle; An analysis module is used to analyze and process the basic information corresponding to each battery pack, perform safety analysis on each battery pack according to the results of the analysis and processing, and formulate an early warning management strategy based on the results of the safety analysis; 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 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.

3. The electric vehicle multi-battery pack combined use management system according to claim 2, characterized in that: Analyze the basic information of each battery pack and identify the operation mode of each battery pack, including: Obtain 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; Compare the remaining power Soci corresponding to each battery pack with the preset threshold interval [S′, S″]; If the remaining power Soci corresponding to each battery pack exceeds S″, it is determined that the operation mode corresponding to each battery pack is the high-efficiency operation mode; If the remaining power Soci corresponding to each battery pack is between [S′, S″], then the operation mode corresponding to each battery pack is determined to be a balanced operation mode; If the remaining power Soci corresponding to a battery pack is lower than S′, it is determined that the operation mode corresponding to each battery pack is the performance operation mode.

4. The electric vehicle multi-battery pack combined use management system according to claim 3, characterized in that: Based on the operation mode and the load demand information corresponding to the electric vehicle, power distribution information corresponding to each battery pack is determined, specifically including: Obtain the operating mode corresponding to each battery pack and confirm the load demand Pload corresponding to the electric vehicle; When the operation mode corresponding to each battery pack is the high-efficiency operation mode, the formula Determine the output power Pi corresponding to each battery pack, where j represents the total number of battery packs; When the operation mode corresponding to each battery pack is the balanced operation mode, the formula Confirm the output power Pi corresponding to each battery pack; When the operating mode corresponding to each battery pack is the performance operating mode, the formula The output power Pi corresponding to each battery pack is confirmed, wherein Pi-max represents the maximum output power corresponding to each battery pack.

5. The electric vehicle multi-battery pack combined use management system according to claim 2, characterized in that: Analyze and process the basic information corresponding to each battery pack, conduct safety analysis on each battery pack based on the results of the analysis and processing, and formulate early warning management strategies based on the results of the safety analysis, including: Analyze the risks of potential safety hazards of each battery pack during use. The analysis process is as follows: By formula Identify the risk value Riski of potential safety hazards in the use of each battery pack, where i represents the number of each battery pack, i=1,2,3...j; Ti, efi, bji represent the working time, charge and discharge times, and marking times of the i-th battery pack, respectively; T′ represents the preset reference working time; ω1 and ω2 represent the correction coefficients, respectively; a1 and a2 represent the weight coefficients, respectively; and e is a natural constant; Compare the risk value Riski of potential safety hazards of each battery pack during use with the preset risk threshold R′; If the risk value Riski of safety hazards in the use of each battery pack does not exceed R′, there is no need to conduct safety analysis on each battery pack; If there is a risk value Riski>R′ of potential safety hazards in the battery pack during use, a safety analysis is performed on the battery pack.

6. The electric vehicle multi-battery pack combined use management system according to claim 5, characterized in that: The process of safety analysis of battery packs includes: Within a preset time period, electrical information corresponding to each battery pack is obtained, and output voltage Vi and output current Ii corresponding to each battery pack are extracted from the electrical information; By formula Determine the power deviation coefficient βi corresponding to each battery pack, where pi′ represents the reference output power corresponding to the i-th battery pack, and [t1, t2] represents the preset time period; Compare the power deviation coefficient βi corresponding to each battery pack with the preset deviation threshold β′; If the power deviation coefficients corresponding to each battery pack do not exceed β′, there is no need to formulate an early warning management strategy; If there is a power deviation coefficient βi>β′ corresponding to the battery pack, an early warning management strategy is formulated for the battery pack.

7. The electric vehicle multi-battery pack combined use management system according to claim 6, characterized in that: The process of developing an early warning management strategy includes: Wi=(Riski-R′)*ψ1+(βi-β′)*ψ2 The above formula is used to determine the comprehensive reference coefficient Wi of potential safety hazards of each battery pack during use, where ψ1 and ψ2 represent preset weight coefficients respectively; Compare the comprehensive reference coefficient Wi of potential safety hazards of each battery pack during use with the preset comprehensive reference threshold W′; If there is a comprehensive reference coefficient Wi≤W′ of a potential safety hazard in the battery pack during use, the battery pack needs to be monitored in real time; If the comprehensive reference coefficient Wi>W′ of a potential safety hazard of the battery pack during use exists, 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.

8. The electric vehicle multi-battery pack combined use management system according to claim 5, characterized in that: The process of obtaining the number of markings includes: In the selected time window, the temperature rise curve Temi(t) corresponding to each battery pack is collected in real time; By formula Determine the temperature deviation coefficient γi corresponding to each battery pack, where temi(t) represents the preset reference temperature rise curve corresponding to each battery pack, and [t3, t4] represents the selected time window; Compare the temperature deviation coefficient γi corresponding to each battery pack with the preset temperature deviation threshold range [γ′,γ″]; If there is a temperature deviation coefficient γi<γ′ corresponding to the battery pack, there is no need to mark the battery pack; If there is a battery pack whose corresponding temperature deviation coefficient γi is between [γ′,γ″], 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.

9. A method for managing the combined use of multiple battery packs in an electric vehicle, applied to a management system for the combined use of multiple battery packs in an electric vehicle as claimed in any one of claims 1 to 8, characterized in that: The following steps are involved: Collect basic information corresponding to each battery pack and load demand information corresponding to the electric vehicle; Analyze the basic information corresponding to each battery pack to determine the operation mode corresponding to each battery pack, and then determine the power distribution information corresponding to each battery pack based on the operation mode and the load demand information corresponding to the electric vehicle; Analyze and process the basic information corresponding to each battery pack, perform safety analysis on each battery pack based on the results of the analysis and processing, and formulate an early warning management strategy based on the results of the safety analysis; Respond to the early warning management strategy and manage each battery pack based on the early warning management strategy.

10. A computer-readable storage medium, characterized in that: Instructions are stored, and when the instructions are run on a computer, the computer is caused to execute an electric vehicle multi-battery pack combined use management system as claimed in any one of claims 1 to 8.

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