Safety protection control method and system for vehicle-mounted power battery box

Abstract

The invention relates to a safety protection control method and system for a vehicle-mounted power battery box. The method comprises the following steps: acquiring real-time data of the vehicle-mounted power battery box; substituting the real-time data of the vehicle-mounted power battery box into a safety protection model to generate a safety protection scheme of the vehicle-mounted power battery box; according to the safety protection scheme of the vehicle-mounted power battery box, safety protection operation is executed on the vehicle-mounted power battery box, and after the safety protection operation is executed, the step of obtaining the real-time data of the vehicle-mounted power battery box is executed again; and substituting the re-obtained real-time data of the vehicle-mounted power battery box into the safety protection model to obtain an evaluation result of the safety protection scheme, and selectively optimizing the safety protection model according to the evaluation result of the safety protection scheme. The generated safety protection scheme is matched with the actual condition of the vehicle-mounted power battery box, and the safety protection accuracy of the vehicle-mounted power battery box is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of safety protection control of a vehicle-mounted power battery box, and in particular to a safety protection control method and system for a vehicle-mounted power battery box. Background Art

[0002] With the popularity and application of electric vehicles, the safety of vehicle power batteries as the power source and energy storage equipment of electric vehicles has received increasing attention. The battery box is a protective device for the battery, and its status and safety are crucial to the service life and safety of the battery. However, due to the complexity of the internal environment of the battery box and the influence of external factors, the status and safety of the battery box are difficult to monitor and control directly. Therefore, how to achieve safe protection of the battery box, ensure the normal use of the battery box and extend its service life has become an important research topic in the field of vehicle technology.

[0003] In the prior art, the safety protection of battery boxes mainly relies on manual management and regular inspections, lacking real-time data analysis and intelligent control. In addition, due to the complex internal environment of the battery box, the detection and judgment of the battery box status in the prior art has certain inaccuracies and uncertainties, resulting in the inability to fully guarantee the safety protection of the battery box.

[0004] Therefore, there is a need for a method and system that can utilize real-time data and safe operation data, combined with intelligent analysis technology and control systems, to achieve accurate judgment of the battery box status and intelligent safety protection method and system. Summary of the invention

[0005] Based on this, the present invention proposes a safety protection control method and system for a vehicle-mounted power battery box, which solves the technical problem in the prior art that the safety protection of the battery box lacks real-time data analysis and intelligent control, resulting in the inability to fully guarantee the safety protection of the battery box.

[0006] According to a first aspect of the present invention, a safety protection control method for a vehicle-mounted power battery box is provided, the method comprising the following steps:

[0007] Obtain real-time data of the vehicle power battery box;

[0008] Substituting the real-time data of the vehicle-mounted power battery box into the safety protection model, so that the operating state of the vehicle-mounted power battery box is determined according to the real-time data, and the real-time operating data of the vehicle is selectively obtained according to the operating state of the vehicle-mounted power battery box, and then generating a safety protection plan for the vehicle-mounted power battery box according to the real-time data and the selectively obtained real-time operating data of the vehicle, wherein the safety protection plan at least includes a protection combination parameter and an execution duration;

[0009] According to the safety protection scheme of the vehicle-mounted power battery box, perform a safety protection operation on the vehicle-mounted power battery box, and after the safety protection operation is completed, re-execute "obtaining real-time data of the vehicle-mounted power battery box";

[0010] The reacquired real-time data of the vehicle-mounted power battery box is substituted into the safety protection model to obtain the evaluation result of the safety protection scheme, and the safety protection model is selectively optimized according to the evaluation result of the safety protection scheme.

[0011] According to an embodiment of the present invention, a preset battery box history database is stored in the safety protection model. Before substituting the real-time data of the vehicle-mounted power battery box into the safety protection model, the method further trains the safety protection model through the following steps:

[0012] Taking the battery box as a training sample, obtaining multiple sets of training sample sets according to a preset battery box history database, wherein the training sample sets include at least one set of real-time data of the training samples;

[0013] According to each group of training sample sets, determining the running status of the training samples corresponding to each group of training sample sets;

[0014] According to the operating status of the training samples corresponding to each training sample set and the preset battery box history database, the real-time operating data of the vehicle corresponding to each training sample is selectively retrieved;

[0015] Generate multiple sets of protection combination parameters corresponding to each training sample set according to each training sample set and the real-time operation data of the vehicle corresponding to the training sample corresponding to each training sample set;

[0016] According to the multiple groups of protection combination parameters corresponding to each group of training sample sets, the execution time corresponding to each group of protection combination parameters is determined;

[0017] Selecting a set of protection combination parameters and the execution duration corresponding to the protection combination parameters as the security protection scheme corresponding to the training samples, so as to obtain the security protection scheme of the training samples corresponding to each set of training samples;

[0018] According to the safety protection scheme of the training samples corresponding to each group of training sample sets and the preset battery box history database, it is judged whether the scheme generation training is successful, and according to the judgment result, the safety protection model is selectively retrained.

[0019] According to an embodiment of the present invention, the preset battery box history database stores battery boxes with different numbers, historical real-time data of each battery box at different times, historical operating status of each battery box at different times, battery box information, historical real-time operating data of the vehicle selectively obtained, and historical safety protection solutions corresponding to each time;

[0020] The battery box is used as a training sample, and multiple sets of training sample sets are obtained according to a preset battery box history database, wherein the training sample sets include at least one set of real-time data of the training samples including:

[0021] According to a preset battery box history database, a random number of battery boxes with different numbers are randomly selected, and the selected battery boxes are used as training samples;

[0022] Randomly generate a plurality of numbers equal to the number of training samples, randomly match the plurality of numbers with the plurality of training samples, so that each number matches one moment of each training sample, and use the historical real-time data of the selected moment of the training sample as a set of real-time data of the training sample;

[0023] A group of real-time data of the training sample is used as a training sample set corresponding to the training sample, and data information at the time corresponding to the training sample set is marked to obtain multiple groups of training sample sets.

[0024] According to an embodiment of the present invention, the operating state of the training sample includes a normal state, or one or more of a high temperature state, a pressure state, a smoke state, a current fluctuation state, a voltage fluctuation state, and an abnormal vibration state;

[0025] The selectively retrieving the real-time operation data of the vehicle corresponding to each training sample according to the operation status of the training sample corresponding to each training sample set and the preset battery box history database includes:

[0026] According to the operating status of the training samples corresponding to each group of training sample sets and the preset battery box history database, judging whether the state recognition training of the safety protection model is successful;

[0027] If the training is judged to be successful, the battery box information corresponding to each set of training sample sets is retrieved according to each set of training sample sets and a preset battery box history database;

[0028] According to the battery box information corresponding to each training sample set and the running status of the training samples corresponding to each training sample set, it is determined whether the running status of the training samples corresponding to each training sample set is abnormal or normal:

[0029] If it is judged to be an abnormal situation, the real-time operation data of the vehicle corresponding to each training sample is retrieved;

[0030] If it is determined to be a normal situation, the real-time operation data of the vehicle corresponding to each training sample is selectively retrieved according to the operation status of the training samples corresponding to each training sample set.

[0031] According to an embodiment of the present invention, the security protection model further stores a preset protection strategy database, wherein the preset protection strategy database stores multiple risk levels of different risk types, multiple protection operations corresponding to each risk level, execution parameter ranges corresponding to each protection operation, and estimated adjustment types and estimated adjustment values ​​for each execution parameter range;

[0032] The generating of multiple groups of protection combination parameters corresponding to each training sample set according to each training sample set and the real-time running data of the vehicle corresponding to the training sample corresponding to each training sample set includes:

[0033] Determine at least one type of protection operation required for each group of training sample sets according to the running status of the training samples corresponding to each group of training sample sets, wherein the protection operation types at least include cooling, supporting, ventilating, power off, current limiting, voltage limiting and alarming;

[0034] Determine at least one estimated adjustment type corresponding to each group of training sample sets according to the protection operation type required by each group of training sample sets and a preset protection strategy database;

[0035] Determine the risk type and risk level of each training sample set according to each training sample set and the real-time operation data of the vehicle corresponding to the training sample corresponding to each training sample set;

[0036] According to the risk type and risk level of each group of training sample sets and a preset protection strategy database, multiple groups of protection combination parameters corresponding to each group of training sample sets are generated.

[0037] According to an embodiment of the present invention, determining the execution time corresponding to each set of protection combination parameters according to the multiple sets of protection combination parameters corresponding to each set of training sample sets includes:

[0038] According to each group of training sample sets and a preset battery box history database, determine the data information of the training samples corresponding to each group of training sample sets, wherein the data information at least includes the real-time data, historical operating status and battery box information of the training samples;

[0039] Constructing a simulation scenario corresponding to each set of training sample sets according to the data information of the training samples corresponding to each set of training sample sets;

[0040] Substituting the multiple groups of protection combination parameters corresponding to each group of training sample sets into the simulation scene corresponding to each group of training sample sets for simulation, and obtaining the simulation data of each group of protection combination parameters corresponding to each group of training sample sets;

[0041] According to the simulated data of each group of protection combination parameters corresponding to each group of training sample sets, the execution time corresponding to each group of protection combination parameters is determined.

[0042] According to an embodiment of the present invention, the real-time data of the vehicle-mounted power battery box is substituted into the safety protection model so that the operating state of the vehicle-mounted power battery box is determined according to the real-time data, and the real-time operating data of the vehicle is selectively obtained according to the operating state of the vehicle-mounted power battery box, and then the safety protection scheme of the vehicle-mounted power battery box is generated according to the real-time data and the selectively obtained real-time operating data of the vehicle, including:

[0043] Updating the battery box information of the vehicle-mounted power battery box;

[0044] Determining the operating state of the on-board power battery box according to the real-time data of the on-board power battery box;

[0045] According to the operating state of the on-board power battery box and the battery box information of the on-board power battery box, it is judged whether the operating state of the on-board power battery box is abnormal or normal:

[0046] If it is determined to be an abnormal situation, real-time operation data of the vehicle corresponding to the on-board power battery box is obtained;

[0047] If it is determined to be a normal situation, then according to the operating state of the on-board power battery box, the real-time operating data of the vehicle corresponding to the on-board power battery box is selectively obtained;

[0048] Generate multiple sets of protection combination parameters according to the real-time data of the vehicle-mounted power battery box and the acquired real-time operation data of the vehicle corresponding to the vehicle-mounted power battery box;

[0049] According to multiple groups of protection combination parameters, determine the execution time corresponding to each group of protection combination parameters;

[0050] A set of protection combination parameters and the execution duration corresponding to the protection combination parameters are selected as the safety protection scheme corresponding to the vehicle-mounted power battery box and outputted.

[0051] According to an embodiment of the present invention, determining the execution duration corresponding to each set of protection combination parameters according to the multiple sets of protection combination parameters includes:

[0052] Constructing a simulation scenario corresponding to the on-board power battery box according to the real-time data of the on-board power battery box, the operating status of the on-board power battery box, and the battery box information of the on-board power battery box;

[0053] Substituting multiple sets of protection combination parameters into the simulation scene corresponding to the vehicle-mounted power battery box for simulation, and obtaining simulation data of each set of protection combination parameters;

[0054] According to the simulation data of each set of protection combination parameters, the execution time corresponding to each set of protection combination parameters is determined.

[0055] According to an embodiment of the present invention, the re-acquired real-time data of the vehicle-mounted power battery box is substituted into the safety protection model to obtain the evaluation result of the safety protection scheme, and selectively optimizing the safety protection model according to the evaluation result of the safety protection scheme includes:

[0056] According to the re-acquired real-time data of the on-board power battery box, obtaining a real-time score corresponding to the re-acquired real-time data of the on-board power battery box;

[0057] According to the simulation data corresponding to the protection combination parameters in the safety protection scheme of the vehicle-mounted power battery box, obtaining the simulation score corresponding to the protection combination parameters in the safety protection scheme of the vehicle-mounted power battery box;

[0058] According to the comparison result of the real-time score and the simulation score, an evaluation result of the security protection scheme is obtained, wherein the evaluation result at least includes an adjustment result and an adjustment redundancy value;

[0059] If the adjustment result is successful, and the adjustment redundancy value exceeds the adjustment redundancy value threshold corresponding to the battery box information of the on-board power battery box, it is determined that the safety protection model does not need to be optimized;

[0060] Otherwise, it is determined that the security protection model needs to be optimized.

[0061] According to a first aspect of the present invention, a safety protection control system for a vehicle-mounted power battery box is provided, the system comprising a collection device, a safety protection model, a protection execution device and a control device, the collection device being used to obtain data information of the vehicle-mounted power battery box and the vehicle corresponding to the vehicle-mounted power battery box, the safety protection model storing a preset battery box history database and a preset protection strategy database, the protection execution device being used to execute various protection operations, the control device comprising a processor and a memory, the memory being suitable for storing multiple program codes, the program codes being suitable for being loaded and run by the processor to execute the safety protection control method for the vehicle-mounted power battery box described in any one of the technical solutions of the above-mentioned technical solution of the safety protection control method for the vehicle-mounted power battery box.

[0062] It can be seen from the above technical solutions that the safety protection control method for a vehicle-mounted power battery box provided by the present invention has the following beneficial effects:

[0063] The present invention provides a safety protection control method for a vehicle-mounted power battery box. By substituting the acquired real-time data of the vehicle-mounted power battery box into a safety protection model, the operating status of the vehicle-mounted power battery box is determined according to the real-time data, thereby realizing confirmation of the status of the vehicle-mounted power battery box, so as to facilitate a more accurate subsequent assessment of the safety issues of the vehicle-mounted power battery box, and selectively acquiring the real-time operating data of the vehicle according to the operating status of the vehicle-mounted power battery box, thereby avoiding data redundancy and waste of resources, and then generating a safety protection plan for the vehicle-mounted power battery box according to the real-time data and the selectively acquired real-time operating data of the vehicle, thereby realizing matching the generated safety protection plan with the actual situation of the vehicle-mounted power battery box, thereby improving the accuracy of the safety protection of the vehicle-mounted power battery box; executing the method A safety protection plan is developed, and after execution, the real-time data of the on-board power battery is reacquired, and the reacquired real-time data is substituted into the safety protection model to obtain the evaluation result of the safety protection plan, thereby realizing automatic inspection and evaluation of the generated safety protection plan to improve the accuracy of the model so that it can better adapt to various situations of the on-board power battery box, and according to the evaluation result, the safety protection model is selectively optimized to realize self-inspection of the safety protection model, so as to take appropriate safety protection measures for the on-board power battery box more quickly and effectively, thereby improving the intelligent protection capability of the on-board power battery box, and avoiding the technical problem that the safety protection of the battery box cannot be fully guaranteed due to the lack of real-time data analysis and intelligent control for the safety protection of the battery box in the prior art. BRIEF DESCRIPTION OF THE DRAWINGS

[0064] The disclosure of the present invention will become more easily understood with reference to the accompanying drawings. It is easy for those skilled in the art to understand that these drawings are only for illustrative purposes and are not intended to limit the scope of protection of the present invention. In addition, similar numbers in the figures are used to represent similar components, among which:

[0065] Figure 1 This is a schematic flow chart of the main steps of a safety protection control method for a vehicle-mounted power battery box according to an embodiment of the present invention;

[0066] Figure 2 It is a flowchart of the main steps of training a safety protection model of a safety protection control method for a vehicle-mounted power battery box according to one embodiment of the present invention;

[0067] Figure 3 It is a schematic diagram of the main structural block diagram of a safety protection control system for a vehicle-mounted power battery box according to an embodiment of the present invention.

[0068] List of reference numerals:

[0069] 300: safety protection control system; 301: control device; 3011: processor; 3012: memory; 3013: program code; 302: safety protection model; 3021: battery box history database; 3022: protection strategy database; 303: acquisition device; 304: protection execution device. DETAILED DESCRIPTION

[0070] Some embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are only used to explain the technical principles of the present invention and are not intended to limit the protection scope of the present invention.

[0071] In the description of the present invention, "module" and "processor" may include hardware, software or a combination of the two. A module may include hardware circuits, various suitable sensors, communication ports, and memories, and may also include software parts, such as program codes, or a combination of software and hardware. The processor may be a central processing unit, a microprocessor, an image processor, a digital signal processor, or any other suitable processor. The processor has data and / or signal processing functions. The processor may be implemented in software, hardware, or a combination of the two. Non-temporary computer-readable storage media include any suitable medium that can store program codes, such as a magnetic disk, a hard disk, an optical disk, a flash memory, a read-only memory, a random access memory, and the like. The term "A and / or B" means all possible combinations of A and B, such as only A, only B, or A and B. The term "at least one A or B" or "at least one of A and B" has a similar meaning to "A and / or B", and may include only A, only B, or A and B. The singular terms "one" and "the" may also include plural forms.

[0072] See attached Figure 1 , Figure 1 1 is a schematic flow chart of the main steps of a safety protection control method for a vehicle-mounted power battery box according to an embodiment of the present invention. Figure 1 As shown, a safety protection control method for a vehicle-mounted power battery box in an embodiment of the present invention mainly includes the following steps S101 to S104.

[0073] Step S101: Acquire real-time data of the vehicle-mounted power battery box;

[0074] Step S102: Substituting the real-time data of the vehicle-mounted power battery box into the safety protection model, so that the operating state of the vehicle-mounted power battery box is determined according to the real-time data, and the real-time operating data of the vehicle is selectively obtained according to the operating state of the vehicle-mounted power battery box, and then generating a safety protection plan for the vehicle-mounted power battery box according to the real-time data and the selectively obtained real-time operating data of the vehicle, wherein the safety protection plan at least includes a protection combination parameter and an execution duration;

[0075] like Figure 2 As shown, further, a preset battery box history database is stored in the safety protection model. Before substituting the real-time data of the vehicle power battery box into the safety protection model, the method further trains the safety protection model through the following steps:

[0076] Taking the battery box as a training sample, obtaining multiple sets of training sample sets according to a preset battery box history database, wherein the training sample sets include at least one set of real-time data of the training samples;

[0077] According to each group of training sample sets, determining the running status of the training samples corresponding to each group of training sample sets;

[0078] According to the operating status of the training samples corresponding to each training sample set and the preset battery box history database, the real-time operating data of the vehicle corresponding to each training sample is selectively retrieved;

[0079] Generate multiple sets of protection combination parameters corresponding to each training sample set according to each training sample set and the real-time operation data of the vehicle corresponding to the training sample corresponding to each training sample set;

[0080] According to the multiple groups of protection combination parameters corresponding to each group of training sample sets, the execution time corresponding to each group of protection combination parameters is determined;

[0081] Selecting a set of protection combination parameters and the execution duration corresponding to the protection combination parameters as the security protection scheme corresponding to the training samples, so as to obtain the security protection scheme of the training samples corresponding to each set of training samples;

[0082] According to the safety protection scheme of the training samples corresponding to each group of training sample sets and the preset battery box history database, it is judged whether the scheme generation training is successful, and according to the judgment result, the safety protection model is selectively retrained.

[0083] Specifically, the preset battery box history database stores battery boxes with different numbers, historical real-time data of each battery box at different times, historical operating status of each battery box at different times, battery box information, selectively obtains historical real-time operating data of the vehicle, and historical safety protection plans corresponding to each time; and the battery box information includes the battery box's usage time, materials used, composition structure, current loss rate, and damage status;

[0084] The battery box is used as a training sample, and multiple sets of training sample sets are obtained according to a preset battery box history database, wherein the training sample sets include at least one set of real-time data of the training samples including:

[0085] According to a preset battery box history database, a random number of battery boxes with different numbers are randomly selected, and the selected battery boxes are used as training samples;

[0086] Randomly generate a plurality of numbers equal to the number of training samples, randomly match the plurality of numbers with the plurality of training samples, so that each number matches one moment of each training sample, and use the historical real-time data of the selected moment of the training sample as a set of real-time data of the training sample;

[0087] A group of real-time data of the training sample is used as a training sample set corresponding to the training sample, and data information at the time corresponding to the training sample set is marked to obtain multiple groups of training sample sets.

[0088] Specifically, the method for determining the operating status of the training samples corresponding to each group of training sample sets may adopt a trained neural network model or a trained machine learning technology. The selection of the method for determining the operating status of the training samples corresponding to each group of training sample sets here is only an exemplary description. In actual testing, those skilled in the art may make a selection according to actual needs, as long as it is possible to determine the operating status of the training samples corresponding to each group of training sample sets through each group of training sample sets. No further details will be given here.

[0089] Specifically, the operating state of the training sample includes a normal state, or one or more of a high temperature state, a pressure state, a smoke state, a current fluctuation state, a voltage fluctuation state, and an abnormal vibration state;

[0090] The selectively retrieving the real-time operation data of the vehicle corresponding to each training sample according to the operation status of the training sample corresponding to each training sample set and the preset battery box history database includes:

[0091] According to the operating status of the training samples corresponding to each group of training sample sets and the preset battery box history database, judging whether the state recognition training of the safety protection model is successful;

[0092] If the training is judged to be successful, the battery box information corresponding to each set of training sample sets is retrieved according to each set of training sample sets and a preset battery box history database;

[0093] According to the battery box information corresponding to each training sample set and the running status of the training samples corresponding to each training sample set, it is determined whether the running status of the training samples corresponding to each training sample set is abnormal or normal:

[0094] If it is judged to be an abnormal situation, the real-time operation data of the vehicle corresponding to each training sample is retrieved;

[0095] If it is determined to be a normal situation, the real-time operation data of the vehicle corresponding to each training sample is selectively retrieved according to the operation status of the training samples corresponding to each training sample set.

[0096] Specifically, judging whether the state recognition training of the safety protection model is successful according to the running state of the training samples corresponding to each group of training sample sets and the preset battery box history database includes:

[0097] According to each set of training sample sets and a preset battery box history database, the historical operating status corresponding to the time corresponding to the training sample of each set of training sample sets is retrieved;

[0098] If the historical operating state corresponding to the moment corresponding to the training sample of the training sample set is inconsistent with the operating state of the training sample corresponding to the training sample set, it is determined that the training result of the state recognition training is a training failure, and the safety protection model is retrained;

[0099] If the historical operating status corresponding to the moment corresponding to the training sample of the training sample set is consistent with the operating status of the training sample corresponding to the training sample set, the training result of the state recognition training is judged to be successful, and the real-time operating data of the vehicle corresponding to each training sample is selectively retrieved according to the operating status of the training samples corresponding to each group of training sample sets and the preset battery box history database.

[0100] Specifically, judging whether the running state of the training samples corresponding to each training sample set is abnormal or normal according to the battery box information corresponding to each training sample set and the running state of the training samples corresponding to each training sample set includes:

[0101] According to the battery box information corresponding to each group of training sample sets, a parameter range of at least one type of abnormality corresponding to each group of training sample sets is obtained;

[0102] Determine the corrected running state of the training samples corresponding to each training sample set according to each training sample set and the parameter range of at least one abnormal type corresponding to each training sample set;

[0103] If the corrected running state of the training sample corresponding to the training sample set is a normal state, then determining that the running state of the training sample corresponding to the training sample set is a normal state;

[0104] Otherwise, it is determined that the running state of the training sample corresponding to the training sample set is abnormal.

[0105] Specifically, selectively retrieving the real-time operation data of the vehicle corresponding to each training sample according to the operation status of the training sample corresponding to each training sample set includes:

[0106] If the running state of the training sample is normal, the real-time running data of the vehicle corresponding to each training sample is not retrieved;

[0107] If the operating state of the training sample is any one or more of a high temperature state, a pressure state, a smoke state, a current fluctuation state, a voltage fluctuation state and an abnormal vibration state, the real-time operating data of the vehicle corresponding to each training sample is retrieved.

[0108] Specifically, the security protection model also stores a preset protection strategy database, which stores multiple risk levels of different risk types, multiple protection operations corresponding to each risk level, execution parameter ranges corresponding to each protection operation, and estimated adjustment types and estimated adjustment values ​​for each execution parameter range;

[0109] The generating of multiple groups of protection combination parameters corresponding to each training sample set according to each training sample set and the real-time running data of the vehicle corresponding to the training sample corresponding to each training sample set includes:

[0110] Determine at least one type of protection operation required for each group of training sample sets according to the running status of the training samples corresponding to each group of training sample sets, wherein the protection operation types at least include cooling, supporting, ventilating, power off, current limiting, voltage limiting and alarming;

[0111] Determine at least one estimated adjustment type corresponding to each group of training sample sets according to the protection operation type required by each group of training sample sets and a preset protection strategy database;

[0112] Determine the risk type and risk level of each training sample set according to each training sample set and the real-time operation data of the vehicle corresponding to the training sample corresponding to each training sample set;

[0113] According to the risk type and risk level of each group of training sample sets and a preset protection strategy database, multiple groups of protection combination parameters corresponding to each group of training sample sets are generated.

[0114] Specifically, the method for generating multiple groups of protection combination parameters corresponding to each group of training sample sets can adopt a trained neural network model or a trained machine learning technology. The selection of the method for generating multiple groups of protection combination parameters corresponding to each group of training sample sets here is only an exemplary description. In actual testing, technical personnel in this field can make a selection according to actual needs, as long as it can be achieved through the risk type and risk level of each group of training sample sets and the preset protection strategy database to generate multiple groups of protection combination parameters corresponding to each group of training sample sets, it will not be repeated here.

[0115] Specifically, determining the execution time corresponding to each set of protection combination parameters according to the multiple sets of protection combination parameters corresponding to each set of training sample sets includes:

[0116] According to each group of training sample sets and a preset battery box history database, determine the data information of the training samples corresponding to each group of training sample sets, wherein the data information at least includes the real-time data, historical operating status and battery box information of the training samples;

[0117] Constructing a simulation scenario corresponding to each set of training sample sets according to the data information of the training samples corresponding to each set of training sample sets;

[0118] Substituting the multiple groups of protection combination parameters corresponding to each group of training sample sets into the simulation scene corresponding to each group of training sample sets for simulation, and obtaining the simulation data of each group of protection combination parameters corresponding to each group of training sample sets;

[0119] According to the simulated data of each group of protection combination parameters corresponding to each group of training sample sets, the execution time corresponding to each group of protection combination parameters is determined.

[0120] Specifically, determining the execution time corresponding to each set of protection combination parameters according to the simulated data of each set of protection combination parameters corresponding to each set of training sample sets includes:

[0121] According to the simulation data of each group of protection combination parameters corresponding to each group of training sample sets, the time when the abnormal situation of the training sample set corresponding to each group of protection combination parameters is eliminated is determined, and the time required to reach the time when the abnormal situation of the training sample set corresponding to the protection combination parameters is eliminated is used as the execution duration corresponding to the protection combination parameters, so as to obtain the execution duration corresponding to each group of protection combination parameters.

[0122] Specifically, the simulation technology for constructing the simulation scene corresponding to each group of training sample sets adopts the simulation technology in the prior art. The selection of the simulation technology for constructing the simulation scene corresponding to each group of training sample sets here is only an exemplary description. In actual testing, technical personnel in this field can make a selection according to actual needs, as long as it is possible to construct the simulation scene corresponding to each group of training sample sets through the data information of the training samples corresponding to each group of training sample sets, and no further details will be given here.

[0123] Specifically, the selecting a set of protection combination parameters and the execution duration corresponding to the protection combination parameters as the security protection scheme corresponding to the training sample is obtained by the following steps:

[0124] According to the simulated data of each group of protection combination parameters corresponding to each group of training sample sets, the simulation score and simulation result of each group of protection combination parameters are obtained;

[0125] According to the simulation results of each group of protection combination parameters corresponding to each group of training sample sets, multiple groups of protection combination parameters corresponding to each group of training sample sets are screened to obtain multiple groups of protection combination parameters corresponding to each group of training sample sets after screening;

[0126] According to the simulation scores of the multiple groups of protection combination parameters corresponding to each group of training sample sets after screening, a group of protection combination parameters with the simulation scores is selected as the protection combination parameters corresponding to the training sample set;

[0127] The protection combination parameters corresponding to the training sample set and the execution time corresponding to the protection combination parameters are used as the security protection scheme corresponding to the training sample.

[0128] Specifically, obtaining the simulation score and simulation result of each set of protection combination parameters according to the simulation data of each set of protection combination parameters corresponding to each set of training sample sets includes:

[0129] According to the simulation data of each group of protection combination parameters corresponding to each group of training sample sets and the training sample sets, the simulation adjustment values ​​corresponding to each adjustment type corresponding to each group of protection combination parameters corresponding to each group of training sample sets are obtained;

[0130] According to the simulated adjustment values ​​corresponding to the various adjustment types corresponding to each set of protection combination parameters corresponding to each set of training sample sets, the simulated score of each set of protection combination parameters is obtained by the following formula:

[0131] The simulation score of the protection combination parameter = (the sum of the simulated adjustment value corresponding to any adjustment type * the preset weight value corresponding to the adjustment type) + the score corresponding to the execution duration * the preset weight value of the execution score.

[0132] In the above embodiment, in model training, multiple sets of training sample sets are obtained through the battery box historical database, and random acquisition of training sample sets is realized to ensure that the model can accurately process data when processing new data, and the operation status of the training samples of each training sample set is determined through multiple sets of training sample sets, and then the corresponding real-time operation data is selectively retrieved in combination with the battery box historical database, and the selective automatic retrieval of real-time operation data is realized, and multiple sets of protection combination parameters corresponding to each training sample set are generated through the real-time operation data and its training sample set, and the automatic generation of protection combination parameters is realized, and then the execution time of each set of protection combination parameters is determined, and a set of protection combination parameters and their execution time are selected as the safety protection scheme of the training sample, and the automatic screening of the safety protection scheme of the training sample is realized to select the safety protection strategy that matches the training sample and is the best, and then according to the safety protection scheme and the battery box historical database, it is judged whether the scheme generation training is successful, and the training results of the scheme generation training are automatically checked, and then the safety protection model is selectively retrained, so that the safety protection model can continue to improve, thereby improving the accuracy of the safety protection model for the generated safety protection scheme.

[0133] Specifically, the real-time data of the vehicle-mounted power battery box is substituted into the safety protection model, so that the operating state of the vehicle-mounted power battery box is determined according to the real-time data, and the real-time operating data of the vehicle is selectively obtained according to the operating state of the vehicle-mounted power battery box, and then the safety protection scheme of the vehicle-mounted power battery box is generated according to the real-time data and the selectively obtained real-time operating data of the vehicle, including:

[0134] Updating the battery box information of the vehicle-mounted power battery box;

[0135] Determining the operating state of the on-board power battery box according to the real-time data of the on-board power battery box;

[0136] According to the operating state of the on-board power battery box and the battery box information of the on-board power battery box, it is judged whether the operating state of the on-board power battery box is abnormal or normal:

[0137] If it is determined to be an abnormal situation, real-time operation data of the vehicle corresponding to the on-board power battery box is obtained;

[0138] If it is determined to be a normal situation, then according to the operating state of the on-board power battery box, the real-time operating data of the vehicle corresponding to the on-board power battery box is selectively obtained;

[0139] If the real-time operation data of the vehicle corresponding to the on-board power battery box is not obtained, the safety protection plan for the on-board power battery box is not generated;

[0140] If the real-time operating data of the vehicle corresponding to the on-board power battery box is obtained, a plurality of sets of protection combination parameters are generated according to the real-time data of the on-board power battery box and the obtained real-time operating data of the vehicle corresponding to the on-board power battery box;

[0141] According to multiple groups of protection combination parameters, determine the execution time corresponding to each group of protection combination parameters;

[0142] A set of protection combination parameters and the execution duration corresponding to the protection combination parameters are selected as the safety protection scheme corresponding to the vehicle-mounted power battery box and outputted.

[0143] Specifically, determining the execution time corresponding to each set of protection combination parameters according to the multiple sets of protection combination parameters includes:

[0144] Constructing a simulation scenario corresponding to the on-board power battery box according to the real-time data of the on-board power battery box, the operating status of the on-board power battery box, and the battery box information of the on-board power battery box;

[0145] Substituting multiple sets of protection combination parameters into the simulation scene corresponding to the vehicle-mounted power battery box for simulation, and obtaining simulation data of each set of protection combination parameters;

[0146] According to the simulation data of each set of protection combination parameters, the execution time corresponding to each set of protection combination parameters is determined.

[0147] In the above embodiment, in the model processing, after the battery box information of the vehicle-mounted power battery box is updated, its operating status is determined through the real-time data of the vehicle-mounted power battery box, and then combined with the battery box information of the vehicle-mounted power battery box and its operating status, it is judged whether the operating status of the battery box is abnormal or normal. When it is judged to be an abnormal situation, the real-time operating data of the vehicle corresponding to the battery box is obtained, or, when it is judged to be a normal situation, the real-time operating data of the vehicle corresponding to the battery box is selectively obtained according to its operating status, thereby realizing the selective acquisition of real-time operating data, and the real-time operating data of the vehicle corresponding to the battery box and its real-time data are obtained. , generate multiple groups of protection combination parameters, analyze and set multiple groups of protection combination parameters through the actual data of the battery and its vehicle, so as to ensure that the battery can get effective safety protection under any group of protection combination parameters, and then determine the execution time of each group of protection combination parameters, and select a group of protection combination parameters and their execution time as the safety protection plan of the battery box and output it, so as to realize automatic screening of protection combination parameters, so as to select the optimal safety protection plan that matches the real-time data of the battery pack, and realize intelligent monitoring and safety protection management of the on-board power battery pack in the vehicle through analysis of real-time data, so as to ensure that the driver can use the vehicle safely.

[0148] Step S103: according to the safety protection scheme of the vehicle-mounted power battery box, perform a safety protection operation on the vehicle-mounted power battery box, and after the safety protection operation is completed, re-execute "obtaining real-time data of the vehicle-mounted power battery box";

[0149] Step S104: Substitute the re-acquired real-time data of the vehicle-mounted power battery box into the safety protection model to obtain the evaluation result of the safety protection scheme, and selectively optimize the safety protection model according to the evaluation result of the safety protection scheme.

[0150] Specifically, the reacquired real-time data of the vehicle-mounted power battery box is substituted into the safety protection model to obtain the evaluation result of the safety protection scheme, and selectively optimizing the safety protection model according to the evaluation result of the safety protection scheme includes:

[0151] According to the re-acquired real-time data of the on-board power battery box, obtaining a real-time score corresponding to the re-acquired real-time data of the on-board power battery box;

[0152] According to the simulation data corresponding to the protection combination parameters in the safety protection scheme of the vehicle-mounted power battery box, obtaining the simulation score corresponding to the protection combination parameters in the safety protection scheme of the vehicle-mounted power battery box;

[0153] According to the comparison result of the real-time score and the simulation score, an evaluation result of the security protection scheme is obtained, wherein the evaluation result at least includes an adjustment result and an adjustment redundancy value;

[0154] If the adjustment result is successful, and the adjustment redundancy value exceeds the adjustment redundancy value threshold corresponding to the battery box information of the on-board power battery box, it is determined that the safety protection model does not need to be optimized;

[0155] Otherwise, it is determined that the security protection model needs to be optimized.

[0156] Specifically, the step of obtaining the real-time score corresponding to the real-time data of the vehicle-mounted power battery box that is reacquired includes:

[0157] According to the real-time data of the vehicle-mounted power battery box that has been reacquired and the real-time data of the vehicle-mounted power battery box that has been acquired previously, the adjustment values ​​corresponding to the various adjustment types corresponding to the protection combination scheme corresponding to the vehicle-mounted power battery box are obtained;

[0158] According to the adjustment values ​​corresponding to the various adjustment types corresponding to the protection combination scheme corresponding to the on-board power battery box, the real-time score corresponding to the re-acquired real-time data of the on-board power battery box is obtained by the following formula:

[0159] The real-time score corresponding to the real-time data of the vehicle-mounted power battery box that is re-acquired = (the adjustment value corresponding to any adjustment type * the sum of the weight values ​​corresponding to the preset adjustment type) + the score corresponding to the execution time * the weight value of the preset execution score.

[0160] Specifically, the method for obtaining the simulation score is consistent with the method for obtaining the real-time score.

[0161] Based on the above steps S101 to S104, by substituting the acquired real-time data of the vehicle-mounted power battery box into the safety protection model, the operating status of the vehicle-mounted power battery box is determined according to the real-time data, thereby realizing the confirmation of the status of the vehicle-mounted power battery box, so as to facilitate a more accurate subsequent assessment of the safety issues of the vehicle-mounted power battery box, and selectively acquiring the real-time operating data of the vehicle according to the operating status of the vehicle-mounted power battery box, thereby avoiding data redundancy and waste of resources, and then generating a safety protection plan for the vehicle-mounted power battery box according to the real-time data and the selectively acquired real-time operating data of the vehicle, thereby realizing the matching of the generated safety protection plan with the actual situation of the vehicle-mounted power battery box, thereby improving the accuracy of the safety protection of the vehicle-mounted power battery box; executing the safety protection The scheme is generated, and after the execution is completed, the real-time data of the on-board power battery is re-acquired, and the re-acquired real-time data is substituted into the safety protection model to obtain the evaluation result of the safety protection scheme, thereby realizing automatic inspection and evaluation of the generated safety protection scheme to improve the accuracy of the model so that it can better adapt to various situations of the on-board power battery box, and according to the evaluation result, the safety protection model is selectively optimized to realize self-inspection of the safety protection model, so as to take appropriate safety protection measures for the on-board power battery box more quickly and effectively, thereby improving the intelligent protection capability of the on-board power battery box, and avoiding the technical problem that the safety protection of the battery box cannot be fully guaranteed due to the lack of real-time data analysis and intelligent control for the safety protection of the battery box in the prior art.

[0162] It should be pointed out that although the various steps in the above embodiments are described in a specific order, those skilled in the art can understand that in order to achieve the effects of the present invention, different steps do not have to be performed in such an order. They can be performed simultaneously (in parallel) or in other orders. These changes are within the scope of protection of the present invention.

[0163] Furthermore, the present invention also provides a safety protection control system for a vehicle-mounted power battery box.

[0164] See attached Figure 3 , Figure 3 1 is a main structural block diagram of a safety protection control system for a vehicle-mounted power battery box according to an embodiment of the present invention. Figure 3As shown, a safety protection control system 300 for a vehicle-mounted power battery box in an embodiment of the present invention mainly includes a plurality of acquisition devices 303 with different acquisition data types, a safety protection model 302, a protection execution device 304 and a control device 301, wherein the acquisition device 303 is used to obtain data information of a vehicle-mounted power battery box and a corresponding vehicle of the vehicle-mounted power battery box, the safety protection model 302 stores a preset battery box history database 3021 and a preset protection strategy database 3022, the protection execution device 304 is used to perform various protection operations, and the control device 301 includes a processor 3011 and a memory 3012, the memory 3012 can be configured to store a program code 3013 for executing a safety protection control method for a vehicle-mounted power battery box in the above method embodiment, and the processor 3011 can be configured to execute the program code 3013 in the memory 3012, the program code 3013 includes but is not limited to executing the program code 3013 for executing the safety protection control method for a vehicle-mounted power battery box in the above method embodiment. For ease of explanation, only the part related to the embodiment of the present invention is shown, and for specific technical details not disclosed, please refer to the method part of the embodiment of the present invention. The control device 301 may be a control device including various electronic devices.

[0165] Specifically, the preset battery box history database 3021 stores battery boxes with different numbers, historical real-time data of each battery box at different times, historical operating status of each battery box at different times, battery box information, selectively obtained historical real-time operating data of the vehicle, and historical safety protection plans corresponding to each time; and the battery box information includes the battery box's usage time, materials used, composition structure, current loss rate, and damage status;

[0166] The preset protection strategy database 3022 stores multiple risk levels of different risk types, multiple protection operations corresponding to each risk level, execution parameter ranges corresponding to each protection operation, estimated adjustment types and estimated adjustment values ​​for each execution parameter range.

[0167] Specifically, the collection device 303 can be various sensor devices of different collection types, or it can be a monitoring device that is communicatively connected to the vehicle and the on-board power battery box. The selection of the collection device 303 here is only an exemplary description. In actual testing, technical personnel in this field can make a selection according to actual needs, as long as it is possible to obtain data information of the on-board power battery box and the vehicle corresponding to the on-board power battery box through the collection device 303, and no further details will be given here.

[0168] Specifically, the protection execution device 304 can be a cooling device, a ventilation device, or an intelligent processing device in the prior art. The selection of the protection execution device 304 here is only an exemplary description. In actual testing, technical personnel in this field can make a selection according to actual needs. As long as various protection operations can be performed through the protection execution device 304, it will not be repeated here.

[0169] In one implementation, the description of the specific implementation functions may refer to steps S101 to S104.

[0170] The above-mentioned vehicle-mounted power battery box safety protection control system 300 is used to execute Figure 1 The embodiment of the safety protection control method for the vehicle-mounted power battery box shown in the figure has similar technical principles, technical problems solved and technical effects produced. Technicians in this technical field can clearly understand that for the convenience and conciseness of description, the specific working process and related instructions of the safety protection control system 300 of the vehicle-mounted power battery box can refer to the contents described in the embodiment of the safety protection control method for the vehicle-mounted power battery box, which will not be repeated here.

[0171] It is understood by those skilled in the art that the present invention implements all or part of the processes in the method of the above embodiment, and can also be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a computer-readable storage medium, and when the computer program is executed by the processor 3011, the steps of each of the above method embodiments can be implemented. Among them, the computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or some intermediate form. The computer-readable storage medium may include: any entity or device, medium, U disk, mobile hard disk, disk, optical disk, computer memory, read-only memory, random access memory, electric carrier signal, telecommunication signal and software distribution medium that can carry the computer program code. It should be noted that the content contained in the computer-readable storage medium can be appropriately increased or decreased according to the requirements of legislation and patent practice in the jurisdiction. For example, in some jurisdictions, according to legislation and patent practice, the computer-readable storage medium does not include electric carrier signal and telecommunication signal.

[0172] Furthermore, the safety protection control system 300 of the vehicle-mounted power battery box of the present invention also includes a computer-readable storage medium. In a computer-readable storage medium embodiment according to the present invention, the computer-readable storage medium can be configured to store a program code 3013 for executing the safety protection control method of the vehicle-mounted power battery box of the above-mentioned method embodiment, and the program code 3013 can be loaded and run by the processor 3011 to implement the above-mentioned safety protection control method of the vehicle-mounted power battery box. For ease of explanation, only the parts related to the embodiment of the present invention are shown. For specific technical details not disclosed, please refer to the method part of the embodiment of the present invention. The computer-readable storage medium can be a memory device formed by various electronic devices. Optionally, the computer-readable storage medium in the embodiment of the present invention is a non-temporary computer-readable storage medium.

[0173] Further, it should be understood that since the setting of each module is only for illustrating the functional units of the device of the present invention, the physical devices corresponding to these modules may be the processor 3011 itself, or a part of the software, a part of the hardware, or a part of the combination of software and hardware in the processor 3011. Therefore, the number of each module in the figure is only schematic.

[0174] Those skilled in the art will appreciate that the modules in the device can be adaptively split or merged. Such splitting or merging of specific modules will not cause the technical solution to deviate from the principle of the present invention, and therefore, the technical solutions after splitting or merging will fall within the protection scope of the present invention.

[0175] So far, the technical solutions of the present invention have been described in conjunction with the preferred embodiments shown in the accompanying drawings. However, it is easy for those skilled in the art to understand that the protection scope of the present invention is obviously not limited to these specific embodiments. Without departing from the principle of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will fall within the protection scope of the present invention.

Claims

1. A safety protection control method for a vehicle-mounted power battery box, characterized in that: The method comprises the following steps: Obtain real-time data of the vehicle power battery box; Substituting the real-time data of the vehicle-mounted power battery box into the safety protection model, so that the operating state of the vehicle-mounted power battery box is determined according to the real-time data, and the real-time operating data of the vehicle is selectively obtained according to the operating state of the vehicle-mounted power battery box, and then generating a safety protection plan for the vehicle-mounted power battery box according to the real-time data and the selectively obtained real-time operating data of the vehicle, wherein the safety protection plan at least includes a protection combination parameter and an execution duration; According to the safety protection scheme of the vehicle-mounted power battery box, perform safety protection operations on the vehicle-mounted power battery box, and after the safety protection operations are completed, re-execute "obtaining real-time data of the vehicle-mounted power battery box"; The reacquired real-time data of the vehicle-mounted power battery box is substituted into the safety protection model to obtain the evaluation result of the safety protection scheme, and the safety protection model is selectively optimized according to the evaluation result of the safety protection scheme.

2. A safety protection control method for a vehicle-mounted power battery box according to claim 1, characterized in that: The safety protection model stores a preset battery box history database. Before substituting the real-time data of the vehicle-mounted power battery box into the safety protection model, the method further trains the safety protection model through the following steps: Taking the battery box as a training sample, obtaining multiple sets of training sample sets according to a preset battery box history database, wherein the training sample sets include at least one set of real-time data of the training samples; According to each group of training sample sets, determining the running status of the training samples corresponding to each group of training sample sets; According to the operating status of the training samples corresponding to each training sample set and the preset battery box history database, the real-time operating data of the vehicle corresponding to each training sample is selectively retrieved; Generate multiple sets of protection combination parameters corresponding to each training sample set according to each training sample set and the real-time operation data of the vehicle corresponding to the training sample corresponding to each training sample set; According to the multiple groups of protection combination parameters corresponding to each group of training sample sets, the execution time corresponding to each group of protection combination parameters is determined; Selecting a set of protection combination parameters and the execution duration corresponding to the protection combination parameters as the security protection scheme corresponding to the training samples, so as to obtain the security protection scheme of the training samples corresponding to each set of training samples; According to the safety protection scheme of the training samples corresponding to each group of training sample sets and the preset battery box history database, it is judged whether the scheme generation training is successful, and according to the judgment result, the safety protection model is selectively retrained.

3. A safety protection control method for a vehicle-mounted power battery box according to claim 2, characterized in that: The preset battery box history database stores battery boxes with different numbers, historical real-time data of each battery box at different times, historical operating status of each battery box at different times, battery box information, historical real-time operating data of the vehicle selectively obtained, and historical safety protection plans corresponding to each time; The battery box is used as a training sample, and multiple sets of training sample sets are obtained according to a preset battery box history database, wherein the training sample sets include at least one set of real-time data of the training samples including: According to a preset battery box history database, a random number of battery boxes with different numbers are randomly selected, and the selected battery boxes are used as training samples; Randomly generate a plurality of numbers equal to the number of training samples, randomly match the plurality of numbers with the plurality of training samples, so that each number matches one moment of each training sample, and use the historical real-time data of the selected moment of the training sample as a set of real-time data of the training sample; A group of real-time data of the training sample is used as a training sample set corresponding to the training sample, and data information at the time corresponding to the training sample set is marked to obtain multiple groups of training sample sets.

4. A safety protection control method for a vehicle-mounted power battery box according to claim 3, characterized in that: The running state of the training sample includes a normal state, or one or more of a high temperature state, a pressure state, a smoke state, a current fluctuation state, a voltage fluctuation state, and an abnormal vibration state; The selectively retrieving the real-time operation data of the vehicle corresponding to each training sample according to the operation status of the training sample corresponding to each training sample set and the preset battery box history database includes: According to the operating status of the training samples corresponding to each group of training sample sets and the preset battery box history database, judging whether the state recognition training of the safety protection model is successful; If the training is judged to be successful, the battery box information corresponding to each set of training sample sets is retrieved according to each set of training sample sets and a preset battery box history database; According to the battery box information corresponding to each training sample set and the running status of the training samples corresponding to each training sample set, it is determined whether the running status of the training samples corresponding to each training sample set is abnormal or normal: If it is judged to be an abnormal situation, the real-time operation data of the vehicle corresponding to each training sample is retrieved; If it is determined to be a normal situation, the real-time operation data of the vehicle corresponding to each training sample is selectively retrieved according to the operation status of the training samples corresponding to each training sample set.

5. A safety protection control method for a vehicle-mounted power battery box according to claim 4, characterized in that: The security protection model also stores a preset protection strategy database, which stores multiple risk levels of different risk types, multiple protection operations corresponding to each risk level, execution parameter ranges corresponding to each protection operation, and estimated adjustment types and estimated adjustment values ​​for each execution parameter range; The generating of multiple groups of protection combination parameters corresponding to each training sample set according to each training sample set and the real-time running data of the vehicle corresponding to the training sample corresponding to each training sample set includes: Determine at least one type of protection operation required for each group of training sample sets according to the running status of the training samples corresponding to each group of training sample sets, wherein the protection operation types at least include cooling, supporting, ventilating, power off, current limiting, voltage limiting and alarming; Determine at least one estimated adjustment type corresponding to each group of training sample sets according to the protection operation type required by each group of training sample sets and a preset protection strategy database; Determine the risk type and risk level of each training sample set according to each training sample set and the real-time operation data of the vehicle corresponding to the training sample corresponding to each training sample set; According to the risk type and risk level of each group of training sample sets and a preset protection strategy database, multiple groups of protection combination parameters corresponding to each group of training sample sets are generated.

6. A safety protection control method for a vehicle-mounted power battery box according to claim 5, characterized in that: Determining the execution time corresponding to each set of protection combination parameters according to the multiple sets of protection combination parameters corresponding to each set of training sample sets includes: According to each group of training sample sets and a preset battery box history database, determine the data information of the training samples corresponding to each group of training sample sets, wherein the data information at least includes the real-time data, historical operating status and battery box information of the training samples; Constructing a simulation scenario corresponding to each set of training sample sets according to the data information of the training samples corresponding to each set of training sample sets; Substituting the multiple groups of protection combination parameters corresponding to each group of training sample sets into the simulation scene corresponding to each group of training sample sets for simulation, and obtaining the simulation data of each group of protection combination parameters corresponding to each group of training sample sets; According to the simulated data of each group of protection combination parameters corresponding to each group of training sample sets, the execution time corresponding to each group of protection combination parameters is determined.

7. A safety protection control method for a vehicle-mounted power battery box according to claim 6, characterized in that: Substituting the real-time data of the vehicle-mounted power battery box into the safety protection model, so that the operating state of the vehicle-mounted power battery box is determined according to the real-time data, and the real-time operating data of the vehicle is selectively obtained according to the operating state of the vehicle-mounted power battery box, and then generating the safety protection plan of the vehicle-mounted power battery box according to the real-time data and the selectively obtained real-time operating data of the vehicle includes: Updating the battery box information of the vehicle-mounted power battery box; Determining the operating state of the on-board power battery box according to the real-time data of the on-board power battery box; According to the operating state of the on-board power battery box and the battery box information of the on-board power battery box, it is judged whether the operating state of the on-board power battery box is abnormal or normal: If it is determined to be an abnormal situation, real-time operation data of the vehicle corresponding to the on-board power battery box is obtained; If it is determined to be a normal situation, then according to the operating state of the on-board power battery box, the real-time operating data of the vehicle corresponding to the on-board power battery box is selectively obtained; Generate multiple sets of protection combination parameters according to the real-time data of the vehicle-mounted power battery box and the acquired real-time operation data of the vehicle corresponding to the vehicle-mounted power battery box; According to multiple groups of protection combination parameters, determine the execution time corresponding to each group of protection combination parameters; A set of protection combination parameters and the execution duration corresponding to the protection combination parameters are selected as the safety protection scheme corresponding to the vehicle-mounted power battery box and outputted.

8. A safety protection control method for a vehicle-mounted power battery box according to claim 7, characterized in that: Determining the execution time corresponding to each set of protection combination parameters according to the multiple sets of protection combination parameters includes: Constructing a simulation scenario corresponding to the on-board power battery box according to the real-time data of the on-board power battery box, the operating status of the on-board power battery box, and the battery box information of the on-board power battery box; Substituting multiple sets of protection combination parameters into the simulation scene corresponding to the vehicle-mounted power battery box for simulation, and obtaining simulation data of each set of protection combination parameters; According to the simulation data of each set of protection combination parameters, the execution time corresponding to each set of protection combination parameters is determined.

9. A safety protection control method for a vehicle-mounted power battery box according to claim 8, characterized in that: Substituting the reacquired real-time data of the vehicle-mounted power battery box into the safety protection model to obtain the evaluation result of the safety protection scheme, and selectively optimizing the safety protection model according to the evaluation result of the safety protection scheme includes: According to the re-acquired real-time data of the on-board power battery box, obtaining a real-time score corresponding to the re-acquired real-time data of the on-board power battery box; According to the simulation data corresponding to the protection combination parameters in the safety protection scheme of the vehicle-mounted power battery box, obtaining the simulation score corresponding to the protection combination parameters in the safety protection scheme of the vehicle-mounted power battery box; According to the comparison result of the real-time score and the simulation score, an evaluation result of the security protection scheme is obtained, wherein the evaluation result at least includes an adjustment result and an adjustment redundancy value; If the adjustment result is successful, and the adjustment redundancy value exceeds the adjustment redundancy value threshold corresponding to the battery box information of the on-board power battery box, it is determined that the safety protection model does not need to be optimized; Otherwise, it is determined that the security protection model needs to be optimized.

10. A safety protection control system for a vehicle-mounted power battery box, characterized in that: The system includes a collection device, a safety protection model, a protection execution device and a control device. The collection device is used to obtain data information of a vehicle-mounted power battery box and the vehicle corresponding to the vehicle-mounted power battery box. The safety protection model stores a preset battery box history database and a preset protection strategy database. The protection execution device is used to perform various protection operations. The control device includes a processor and a memory. The memory is suitable for storing multiple program codes. The program code is suitable for being loaded and run by the processor to execute the safety protection control method for the vehicle-mounted power battery box described in any one of claims 1 to 9.

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