Battery pack energy-saving optimization method and system

Abstract

The invention provides a battery pack energy-saving optimization method and system, and the method comprises the steps: obtaining battery pack structure data, a charging and discharging mode and current battery state information of a battery pack, and constructing a battery pack charging and discharging model of the battery pack based on the battery pack structure data and the charging and discharging mode of the battery pack; generating battery simulation parameters of the battery pack, and performing simulation processing on the battery pack charging and discharging model to obtain battery pack simulation data corresponding to each charging and discharging simulation strategy; and based on battery pack simulation data corresponding to each charging and discharging simulation strategy, analyzing a target charging and discharging mode of the battery pack and an energy-saving control strategy of the battery pack, and adjusting an operation mode of the battery pack according to the target charging and discharging mode of the battery pack and the energy-saving control strategy of the battery pack. And completing an energy-saving optimization task of the battery pack. By adopting the scheme, the energy-saving optimization universality effect of different battery packs can be improved.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent battery pack energy-saving optimization, and in particular to a battery pack energy-saving optimization method and system. Background Art

[0002] Energy saving of battery packs is one of the important ways to improve battery endurance, battery life, and optimize battery stability. Therefore, how to improve the energy saving effect of battery packs is the current research focus.

[0003] Traditional methods of saving energy for battery packs often improve the energy-saving effect of battery packs by increasing the charging efficiency of the battery and reducing the self-discharge rate of the battery. However, the above method not only requires adjustments to the battery hardware, but also requires a complex battery management and control system to achieve the above technical effects, resulting in poor universality of energy-saving optimization for different battery packs. Summary of the invention

[0004] The main purpose of the present invention is to provide a battery pack energy-saving optimization method and system, aiming to solve the problem that the prior art not only requires adjustment of the battery hardware, but also requires a complex battery management and control system to achieve the above-mentioned technical effects, resulting in poor universality of energy-saving optimization for different battery packs.

[0005] To achieve the above object, the present invention provides a battery pack energy-saving optimization method, the method comprising:

[0006] Acquire battery pack structure data of a battery pack, a charge and discharge method of the battery pack, and current battery status information of the battery pack, and construct a battery pack charge and discharge model of the battery pack based on the battery pack structure data of the battery pack and the charge and discharge method of the battery pack;

[0007] Generate battery simulation parameters of the battery pack based on current battery status information of the battery pack, and simulate the battery pack charge and discharge model based on the battery simulation parameters and the charge and discharge simulation strategy to obtain battery pack simulation data corresponding to each charge and discharge simulation strategy;

[0008] Based on the battery pack simulation data corresponding to each of the charging and discharging simulation strategies, the target charging and discharging mode of the battery pack and the energy-saving control strategy of the battery pack are analyzed, and the target charging and discharging mode of the battery pack and the energy-saving control strategy of the battery pack are used to adjust the operating mode of the battery pack to complete the energy-saving optimization task of the battery pack.

[0009] Optionally, constructing a battery pack charge and discharge model of the battery pack based on the battery pack structure data of the battery pack and the charge and discharge mode of the battery pack includes:

[0010] Based on the structural model of the battery pack, a three-dimensional structural model of the battery pack is constructed through a structural modeling model, and based on the charging and discharging mode of the battery pack, a charging and discharging current transmission strategy of the battery pack is identified;

[0011] Based on the charge and discharge current transmission strategy, identifying the charge and discharge current transmission process of the battery pack, the charge and discharge transmission frequency of the battery pack, and the single charge and discharge amplitude value of the battery pack, and based on the charge and discharge current transmission process, generating charge and discharge process parameters through a model parameter generation program;

[0012] Based on the charge and discharge transmission frequency, the charge and discharge transmission frequency parameter is generated by the model parameter generation program, and based on the single charge and discharge amplitude value, the single charge and discharge amplitude parameter is generated by the model parameter generation program;

[0013] The charge and discharge process parameters, the charge and discharge transmission frequency parameters, and the single charge and discharge amplitude parameters are added to the three-dimensional structure model through a simulation modeling program to obtain a battery pack charge and discharge model of the battery pack.

[0014] Optionally, the generating the battery simulation parameters of the battery pack based on the current battery status information of the battery pack includes:

[0015] Based on the current battery status information of the battery pack, identifying the current status value of each status type of the battery pack;

[0016] In the simulation database, the battery simulation type corresponding to each state type is identified, and based on the battery simulation parameter type corresponding to each state type, the current state value of each state type is converted into a battery simulation parameter of each battery simulation parameter type.

[0017] Optionally, before simulating the battery pack charge and discharge model based on the battery simulation parameters and the charge and discharge simulation strategy to obtain battery pack simulation data corresponding to each charge and discharge simulation strategy, the method further includes:

[0018] Acquire various energy-saving influencing factor types of the battery pack during the charging and discharging process, and identify current battery specification information of the battery pack based on the current battery state of the battery pack;

[0019] Based on the current battery specification information of the battery pack, generating an influencing factor range of each energy-saving influencing factor type, and based on the influencing factor range of each energy-saving influencing factor type, generating each sub-charging and discharging simulation strategy through the principle of single variable method;

[0020] All sub-charge and discharge simulation strategies are used as the charge and discharge simulation strategy of the battery pack charge and discharge model.

[0021] Optionally, the battery pack charge and discharge model is simulated based on the battery simulation parameters and the charge and discharge simulation strategy to obtain battery pack simulation data corresponding to each charge and discharge simulation strategy, including:

[0022] Based on the battery simulation parameters and each sub-charge and discharge simulation strategy, the charge and discharge operation process of the battery pack is simulated through the battery pack charge and discharge model to obtain the simulated energy consumption information of the battery pack and the simulated state data of each state type of the battery pack;

[0023] The simulation energy consumption information corresponding to each charge and discharge simulation strategy and the simulation state data of each state type corresponding to each charge and discharge simulation strategy are used as the battery pack simulation data corresponding to each charge and discharge simulation strategy.

[0024] Optionally, the analyzing the target charging and discharging mode of the battery pack and the energy-saving control strategy of the battery pack based on the battery pack simulation data corresponding to each of the charging and discharging simulation strategies includes:

[0025] Based on the simulated energy consumption information corresponding to each charge and discharge simulation strategy and the simulated state data corresponding to each charge and discharge simulation strategy, generate the simulated energy consumption distribution information corresponding to each energy-saving influencing factor type and the simulated state change distribution information of each state type corresponding to each energy-saving influencing factor type;

[0026] Based on the simulated energy consumption distribution information corresponding to each energy-saving influencing factor type, identifying the target influencing factor value of each energy-saving influencing factor type corresponding to the optimal energy consumption information, and based on the target influencing factor value of each energy-saving influencing factor type, adjusting the charging and discharging mode of the battery pack to obtain the target charging and discharging mode of the battery pack;

[0027] Based on the simulated state change distribution information of each state type corresponding to each energy-saving influencing factor type, identifying the corresponding relationship between the influencing factor change value of each energy-saving influencing factor type and the state change value of each state type;

[0028] Based on the corresponding relationship between the influence factor value of each energy-saving influence factor type and the state value of each state type, the influence factor value adjustment range of each energy-saving influence factor type corresponding to the target state change value range of each state type is identified, and the influence factor value adjustment range of each energy-saving influence factor type is used as the energy-saving control strategy of the battery pack.

[0029] In addition, to achieve the above-mentioned purpose, the present invention also provides a battery pack energy-saving optimization system, the battery pack energy-saving optimization system comprising:

[0030] an acquisition module, used to acquire battery pack structure data of a battery pack, a charge and discharge method of the battery pack, and current battery status information of the battery pack, and construct a battery pack charge and discharge model of the battery pack based on the battery pack structure data of the battery pack and the charge and discharge method of the battery pack;

[0031] A simulation module, used to generate battery simulation parameters of the battery pack based on current battery status information of the battery pack, and simulate the battery pack charge and discharge model based on the battery simulation parameters and the charge and discharge simulation strategy to obtain battery pack simulation data corresponding to each charge and discharge simulation strategy;

[0032] The analysis module is used to analyze the target charging and discharging mode of the battery pack and the energy-saving control strategy of the battery pack based on the battery pack simulation data corresponding to each of the charging and discharging simulation strategies, and adjust the battery pack operation mode according to the target charging and discharging mode of the battery pack and the energy-saving control strategy of the battery pack to complete the energy-saving optimization task of the battery pack.

[0033] Optionally, the acquisition module is specifically used to:

[0034] Based on the structural model of the battery pack, a three-dimensional structural model of the battery pack is constructed through a structural modeling model, and based on the charging and discharging mode of the battery pack, a charging and discharging current transmission strategy of the battery pack is identified;

[0035] Based on the charge and discharge current transmission strategy, identifying the charge and discharge current transmission process of the battery pack, the charge and discharge transmission frequency of the battery pack, and the single charge and discharge amplitude value of the battery pack, and based on the charge and discharge current transmission process, generating charge and discharge process parameters through a model parameter generation program;

[0036] Based on the charge and discharge transmission frequency, the charge and discharge transmission frequency parameter is generated by the model parameter generation program, and based on the single charge and discharge amplitude value, the single charge and discharge amplitude parameter is generated by the model parameter generation program;

[0037] The charge and discharge process parameters, the charge and discharge transmission frequency parameters, and the single charge and discharge amplitude parameters are added to the three-dimensional structure model through a simulation modeling program to obtain a battery pack charge and discharge model of the battery pack.

[0038] Optionally, the simulation module is specifically used for:

[0039] Based on the current battery status information of the battery pack, identifying the current status value of each status type of the battery pack;

[0040] In the simulation database, the battery simulation type corresponding to each state type is identified, and based on the battery simulation parameter type corresponding to each state type, the current state value of each state type is converted into a battery simulation parameter of each battery simulation parameter type.

[0041] Optionally, the system further includes:

[0042] an identification module, used to obtain the types of various energy-saving influencing factors of the battery pack during the charging and discharging process, and identify the current battery specification information of the battery pack based on the current battery state of the battery pack;

[0043] A generating module, for generating an influencing factor range of each energy-saving influencing factor type based on current battery specification information of the battery pack, and generating each sub-charging and discharging simulation strategy based on the influencing factor range of each energy-saving influencing factor type by a single variable method principle;

[0044] The determination module is used to use all sub-charge and discharge simulation strategies as the charge and discharge simulation strategy of the battery pack charge and discharge model.

[0045] Optionally, the simulation module is specifically used for:

[0046] Based on the battery simulation parameters and each sub-charge and discharge simulation strategy, the charge and discharge operation process of the battery pack is simulated through the battery pack charge and discharge model to obtain the simulated energy consumption information of the battery pack and the simulated state data of each state type of the battery pack;

[0047] The simulation energy consumption information corresponding to each charge and discharge simulation strategy and the simulation state data of each state type corresponding to each charge and discharge simulation strategy are used as the battery pack simulation data corresponding to each charge and discharge simulation strategy.

[0048] Optionally, the analysis module is specifically used to:

[0049] Based on the simulated energy consumption information corresponding to each charge and discharge simulation strategy and the simulated state data corresponding to each charge and discharge simulation strategy, generate the simulated energy consumption distribution information corresponding to each energy-saving influencing factor type and the simulated state change distribution information of each state type corresponding to each energy-saving influencing factor type;

[0050] Based on the simulated energy consumption distribution information corresponding to each energy-saving influencing factor type, identifying the target influencing factor value of each energy-saving influencing factor type corresponding to the optimal energy consumption information, and based on the target influencing factor value of each energy-saving influencing factor type, adjusting the charging and discharging mode of the battery pack to obtain the target charging and discharging mode of the battery pack;

[0051] Based on the simulated state change distribution information of each state type corresponding to each energy-saving influencing factor type, identifying the corresponding relationship between the influencing factor change value of each energy-saving influencing factor type and the state change value of each state type;

[0052] Based on the corresponding relationship between the influence factor value of each energy-saving influence factor type and the state value of each state type, the influence factor value adjustment range of each energy-saving influence factor type corresponding to the target state change value range of each state type is identified, and the influence factor value adjustment range of each energy-saving influence factor type is used as the energy-saving control strategy of the battery pack.

[0053] In a third aspect, the present application provides a computer device, wherein the computer device comprises a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the steps of any one of the methods in the first aspect are implemented.

[0054] In a fourth aspect, the present application provides a computer-readable storage medium having a computer program stored thereon, wherein when the computer program is executed by a processor, the steps of any one of the methods in the first aspect are implemented.

[0055] In a fifth aspect, the present application provides a computer program product. The computer program product includes a computer program, and when the computer program is executed by a processor, the steps of any one of the methods in the first aspect are implemented.

[0056] The present invention provides a battery pack energy-saving optimization method and system, the method comprising: obtaining battery pack structure data of the battery pack, the charge and discharge mode of the battery pack, and the current battery status information of the battery pack, and constructing a battery pack charge and discharge model of the battery pack based on the battery pack structure data of the battery pack and the charge and discharge mode of the battery pack; generating battery simulation parameters of the battery pack based on the current battery status information of the battery pack, and simulating the battery pack charge and discharge model based on the battery simulation parameters and the charge and discharge simulation strategy to obtain battery pack simulation data corresponding to each charge and discharge simulation strategy; analyzing the target charge and discharge mode of the battery pack and the energy-saving control strategy of the battery pack based on the battery pack simulation data corresponding to each charge and discharge simulation strategy, and adjusting the battery pack operation mode according to the target charge and discharge mode of the battery pack and the energy-saving control strategy of the battery pack to complete the energy-saving optimization task of the battery pack. This solution uses modeling and simulation to identify the target charging and discharging methods corresponding to different battery packs under different current battery status information, as well as the energy-saving control strategy of the battery pack, so that there is no need for hardware improvement or complex control system control. It can generate the optimal energy-saving effect of each battery pack under current conditions, greatly reducing the control cost. The generated energy-saving control strategy can control the battery pack to be in a stable state during the charging and discharging process while saving energy, so as to avoid damage to the life of the battery pack due to frequent charging and discharging, thereby improving the life value of the battery pack, thereby comprehensively improving the universal effect of energy-saving optimization for different battery packs. BRIEF DESCRIPTION OF THE DRAWINGS

[0057] In order to more clearly illustrate the scheme in the present application, a brief introduction is given below to the drawings required for use in the description of the embodiments of the present application. Obviously, the drawings described below are some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0058] Figure 1 is a flow chart of a battery pack energy-saving optimization method provided by an embodiment of the present invention;

[0059] Figure 2 is a structural schematic diagram of a battery pack energy-saving optimization system provided by an embodiment of the present invention;

[0060] Figure 3 An internal structure diagram of a computer device provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0061] The battery pack energy-saving optimization method provided by the embodiment of the present invention is applied to the battery pack energy-saving optimization system. Unless otherwise defined, all technical and scientific terms used in this document have the same meaning as those generally understood by technicians in the technical field of this application; the terms used in the specification of the application herein are only for the purpose of describing specific embodiments and are not intended to limit this application; the terms "including" and "having" in the specification and claims of this application and the above-mentioned drawings and any variations thereof are intended to cover non-exclusive inclusions. The terms "first", "second", etc. in the specification and claims of this application or the above-mentioned drawings are used to distinguish different objects, not to describe a specific order.

[0062] Reference to "embodiments" herein means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present application. The appearance of the phrase in various locations in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0063] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the accompanying drawings.

[0064] The battery pack energy-saving optimization method provided in the embodiment of the present application can be applied to the application environment of intelligent battery pack energy-saving optimization. The method can be applied to a terminal, a server, or a system including a terminal and a server, and is implemented through the interaction between the terminal and the server. Among them, the terminal can be, but is not limited to, various personal computers, laptops, smart phones, tablet computers, etc. Among them, the terminal identifies the target charging and discharging methods corresponding to different battery packs under different current battery status information and the energy-saving control strategy of the battery pack by modeling and simulation, so that there is no need for hardware improvement or complex control system control, so that the optimal energy-saving effect of the battery pack under the current conditions can be generated for each battery pack, which greatly reduces the control cost, and the generated energy-saving control strategy can control the battery pack in a stable state during the charging and discharging process while saving energy, so as to avoid frequent charging and discharging to damage the life of the battery pack, thereby improving the life value of the battery pack, thereby comprehensively improving the universality of energy-saving optimization for different battery packs.

[0065] In one embodiment, Figure 1 As shown, a battery pack energy saving optimization method is provided, which is described by taking the method applied to a terminal as an example, and includes the following steps:

[0066] Step S101, obtaining battery pack structure data of the battery pack, the charge and discharge method of the battery pack, and current battery status information of the battery pack, and constructing a battery pack charge and discharge model of the battery pack based on the battery pack structure data of the battery pack and the charge and discharge method of the battery pack.

[0067] In this embodiment, the terminal performs a three-dimensional scanning process on the battery pack through a three-dimensional scanning device carrying infrared scanning technology to obtain the battery pack structure data of the battery pack, and in the battery pack database, queries the historical charge and discharge information of the battery pack to obtain the charge and discharge mode of the battery pack. Among them, the charge and discharge mode includes the charging mode, discharge mode, charging frequency, discharge frequency, charging rate, room charge rate, charging current fluctuation range, and discharge current fluctuation range of the battery pack. Then, the terminal obtains the current battery status information of the battery pack, wherein the current battery status information of the battery pack includes but is not limited to the current capacity value, the current saturated capacity value, the current battery temperature value, and the current battery voltage value. Finally, the terminal constructs a battery pack charge and discharge model of the battery pack based on the battery pack structure data of the battery pack and the charge and discharge mode of the battery pack, wherein the method for constructing the battery pack charge and discharge model is a method of model construction through a finite element modeling strategy. The specific construction process will be described in detail later.

[0068] Step S102, based on the current battery status information of the battery pack, generate battery simulation parameters of the battery pack, and based on the battery simulation parameters and the charge and discharge simulation strategy, simulate the battery pack charge and discharge model to obtain battery pack simulation data corresponding to each charge and discharge simulation strategy.

[0069] In this embodiment, the terminal converts the current battery status information of the battery pack into the battery simulation parameters of the battery pack through the data parameter conversion program in the COMSOL Multiphysics software. Then, based on the battery simulation parameters and the charge and discharge simulation strategy, the terminal simulates the charge and discharge model of the battery pack to obtain the battery pack simulation data corresponding to each charge and discharge simulation strategy. Among them, the charge and discharge simulation strategy is the influencing factor value of different energy-saving influencing factor types, and each charge and discharge simulation strategy is obtained by permutation and combination of the single variable method, wherein the energy-saving influencing factor type is the influencing factor type that affects energy consumption during the charge and discharge process, and the energy-saving influencing factor type includes but is not limited to the charge and discharge frequency type, charge and discharge rate type, charge and discharge voltage type, charge and discharge power type and other types. The specific simulation process will be described in detail later.

[0070] Step S103, based on the battery pack simulation data corresponding to each charge and discharge simulation strategy, analyze the target charge and discharge mode of the battery pack and the energy-saving control strategy of the battery pack, and adjust the battery pack operation mode according to the target charge and discharge mode of the battery pack and the energy-saving control strategy of the battery pack to complete the energy-saving optimization task of the battery pack.

[0071] In this embodiment, the terminal analyzes the target charging and discharging mode of the battery pack and the energy-saving control strategy of the battery pack based on the battery pack simulation data corresponding to each charging and discharging simulation strategy, and adjusts the battery pack operation mode according to the target charging and discharging mode of the battery pack and the energy-saving control strategy of the battery pack to complete the energy-saving optimization task of the battery pack. Among them, the energy-saving control strategy is to stabilize the control range of the influencing factor value of each energy-saving influencing factor type in the state value range of each battery state type. The specific analysis process will be described in detail later.

[0072] Based on the above scheme, through modeling and simulation, the target charging and discharging methods corresponding to different battery packs under different current battery status information and the energy-saving control strategy of the battery pack are identified, so that there is no need for hardware improvement or complex control system control, so that for each battery pack, the optimal energy-saving effect of the battery pack under current conditions can be generated, which greatly reduces the control cost. Moreover, the generated energy-saving control strategy can control the battery pack to be in a stable state during the charging and discharging process while saving energy, so as to avoid frequent charging and discharging. The damage to the life of the battery pack, thereby improving the life value of the battery pack, thereby comprehensively improving the universality of energy-saving optimization for different battery packs.

[0073] Optionally, based on the battery pack structure data of the battery pack and the charge and discharge mode of the battery pack, a battery pack charge and discharge model of the battery pack is constructed, including: based on the structural model of the battery pack, through a structural modeling model, a three-dimensional structural model of the battery pack is constructed, and based on the charge and discharge mode of the battery pack, the charge and discharge current transmission strategy of the battery pack is identified; based on the charge and discharge current transmission strategy, the charge and discharge current transmission process of the battery pack, the charge and discharge transmission frequency of the battery pack, and the single charge and discharge amplitude value of the battery pack are identified, and based on the charge and discharge current transmission process, the charge and discharge process parameters are generated through a model parameter generation program; based on the charge and discharge transmission frequency, the charge and discharge transmission frequency parameters are generated through a model parameter generation program, and based on the single charge and discharge amplitude value, the single charge and discharge amplitude parameters are generated through a model parameter generation program; the charge and discharge process parameters, the charge and discharge transmission frequency parameters, and the single charge and discharge amplitude parameters are added to the three-dimensional structural model through a simulation modeling program to obtain the battery pack charge and discharge model of the battery pack.

[0074] In this embodiment, the terminal constructs a three-dimensional structural model of the battery pack through a structural modeling model based on the structural model of the battery pack, and identifies the charge and discharge current transmission strategy of the battery pack based on the charge and discharge mode of the battery pack. Then, based on the charge and discharge current transmission strategy, the terminal identifies the charge and discharge current transmission process of the battery pack, the charge and discharge transmission frequency of the battery pack, and the single charge and discharge amplitude value of the battery pack, and generates the charge and discharge process parameters through a model parameter generation program based on the charge and discharge current transmission process.

[0075] The terminal generates a charge and discharge transmission frequency parameter through a model parameter generation program based on the charge and discharge transmission frequency, and generates a single charge and discharge amplitude parameter through a model parameter generation program based on the single charge and discharge amplitude value. Finally, the terminal adds the charge and discharge process parameters, the charge and discharge transmission frequency parameters, and the single charge and discharge amplitude parameters to the three-dimensional structure model through a simulation modeling program to obtain a battery pack charge and discharge model of the battery pack. The simulation modeling program is a simulation modeling program in COMSOL Multiphysics software.

[0076] Based on the above scheme, by identifying the charging and discharging process parameters, charging and discharging transmission frequency parameters, and single charging and discharging amplitude parameters, as well as the three-dimensional structure model, a battery pack charging and discharging model of the battery pack is constructed, thereby improving the authenticity and accuracy of the constructed battery pack charging and discharging model.

[0077] Optionally, based on the current battery status information of the battery pack, battery simulation parameters of the battery pack are generated, including: based on the current battery status information of the battery pack, identifying the current status value of each status type of the battery pack; in a simulation database, identifying the battery simulation type corresponding to each status type, and based on the battery simulation parameter type corresponding to each status type, converting the current status value of each status type into battery simulation parameters of each battery simulation parameter type.

[0078] In this embodiment, the terminal identifies the current state value of each state type of the battery pack based on the current battery state information of the battery pack, wherein each state type includes but is not limited to a capacity type, a saturated capacity type, a battery temperature type, and a battery voltage type.

[0079] In the simulation database, the terminal identifies the battery simulation type corresponding to each state type, and based on the battery simulation parameter type corresponding to each state type, converts the current state value of each state type into the battery simulation parameter of each battery simulation parameter type. The simulation database stores the correspondence between each state type and the battery simulation type, and also includes the conversion correspondence between the state value of each state type and the battery simulation parameter of the battery simulation type. Based on the above correspondence, the terminal identifies the current state value of each state type and the corresponding battery simulation parameter of each battery simulation parameter type.

[0080] Based on the above solution, the battery simulation parameters of each battery simulation parameter type are identified by state type, thereby improving the accuracy and comprehensiveness of parameter identification.

[0081] Optionally, based on the battery simulation parameters and the charge and discharge simulation strategy, the battery pack charge and discharge model is simulated to obtain the battery pack simulation data corresponding to each charge and discharge simulation strategy, and also includes: obtaining the types of energy-saving influencing factors of the battery pack during the charge and discharge process, and identifying the current battery specification information of the battery pack based on the current battery state of the battery pack; generating the influencing factor range of each energy-saving influencing factor type based on the current battery specification information of the battery pack, and generating each sub-charge and discharge simulation strategy based on the influencing factor range of each energy-saving influencing factor type through the single variable method principle; and using all the sub-charge and discharge simulation strategies as the charge and discharge simulation strategy of the battery pack charge and discharge model.

[0082] In this embodiment, the terminal obtains the types of energy-saving influencing factors of the battery pack during the charging and discharging process, and identifies the current battery specification information of the battery pack based on the current battery state of the battery pack. The current battery specification parameters include the influence factor value limits of each type of energy-saving influencing factor of the battery pack during the charging and discharging process of the battery pack. The battery specification parameters are the current battery hardware data obtained by real-time monitoring of the battery pack, and based on the current battery state of the battery pack and the current battery hardware data, the current battery specification information of the battery pack is identified by querying the battery pack specification change information of the battery pack.

[0083] Based on the current battery specification information of the battery pack, the terminal generates the influencing factor range of each energy-saving influencing factor type, and based on the influencing factor range of each energy-saving influencing factor type, generates each sub-charge and discharge simulation strategy through the principle of single variable method. Among them, each sub-charge and discharge simulation strategy includes the energy-saving influencing factor value of different energy-saving influencing factor types. Finally, the terminal uses all sub-charge and discharge simulation strategies as the charge and discharge simulation strategy of the battery pack charge and discharge model.

[0084] Based on the above scheme, by identifying the current battery specification information of the battery pack, the influencing factor range of each energy-saving influencing factor type is identified, so as to generate the sub-charge and discharge simulation strategy corresponding to the battery pack, thereby improving the simulation authenticity, simulation reality, and simulation accuracy of the charge and discharge simulation strategy.

[0085] Optionally, based on the battery simulation parameters and the charge and discharge simulation strategy, the battery pack charge and discharge model is simulated to obtain battery pack simulation data corresponding to each charge and discharge simulation strategy, including: based on the battery simulation parameters and each sub-charge and discharge simulation strategy, the charge and discharge operation process of the battery pack is simulated through the battery pack charge and discharge model to obtain the simulated energy consumption information of the battery pack and the simulation status data of each state type of the battery pack; the simulated energy consumption information corresponding to each charge and discharge simulation strategy and the simulation status data of each state type corresponding to each charge and discharge simulation strategy are used as the battery pack simulation data corresponding to each charge and discharge simulation strategy.

[0086] In this embodiment, the terminal simulates the charging and discharging operation process of the battery pack through the battery pack charging and discharging model based on the battery simulation parameters and each sub-charging and discharging simulation strategy, and obtains the simulated energy consumption information of the battery pack and the simulated state data of each state type of the battery pack. Among them, the simulated energy consumption information is the energy consumption value of executing the charging and discharging operation process, and the simulated state data of each state type is the simulated state value of each state type obtained by simulation.

[0087] Afterwards, the terminal uses the simulation energy consumption information corresponding to each charge and discharge simulation strategy and the simulation state data of each state type corresponding to each charge and discharge simulation strategy as the battery pack simulation data corresponding to each charge and discharge simulation strategy.

[0088] Based on the above solution, by splitting and identifying the simulation energy consumption information corresponding to each charge and discharge simulation strategy and the simulation state data of each state type corresponding to each charge and discharge simulation strategy, the comprehensiveness of the recognition of the battery pack simulation data is improved.

[0089] Optionally, based on the battery pack simulation data corresponding to each charge and discharge simulation strategy, the target charge and discharge mode of the battery pack and the energy-saving control strategy of the battery pack are analyzed, including: based on the simulation energy consumption information corresponding to each charge and discharge simulation strategy and the simulation state data corresponding to each charge and discharge simulation strategy, the simulation energy consumption distribution information corresponding to each energy-saving influence factor type and the simulation state change distribution information of each state type corresponding to each energy-saving influence factor type are generated; based on the simulation energy consumption distribution information corresponding to each energy-saving influence factor type, the target influence factor value of each energy-saving influence factor type corresponding to the optimal energy consumption information is identified, and based on the target influence factor value of each energy-saving influence factor type, the charge and discharge mode of the battery pack is adjusted to obtain the target charge and discharge mode of the battery pack; based on the simulation state change distribution information of each state type corresponding to each energy-saving influence factor type, the corresponding relationship between the influence factor change value of each energy-saving influence factor type and the state change value of each state type is identified; based on the change corresponding relationship between the influence factor value of each energy-saving influence factor type and the state value of each state type, the influence factor value adjustment range of each energy-saving influence factor type corresponding to the target state change value range of each state type is identified, and the influence factor value adjustment range of each energy-saving influence factor type is used as the energy-saving control strategy of the battery pack.

[0090] In this embodiment, the terminal generates the simulated energy consumption distribution information corresponding to each energy-saving influencing factor type and the simulated state change distribution information of each state type corresponding to each energy-saving influencing factor type based on the simulated energy consumption information corresponding to each charge-discharge simulation strategy and the simulated state data corresponding to each charge-discharge simulation strategy. Among them, the simulated energy consumption distribution information is the distribution information of the change amount of the simulated energy consumption information corresponding to the change amount of the influencing factor value of each energy-saving influencing factor type. Similarly, the simulated state change distribution information is the change distribution information of the simulated state values ​​of each state type distributed and sorted according to the change amount of the influencing factor value of each energy-saving influencing factor type.

[0091] Then, the terminal identifies the target influencing factor value of each energy-saving influencing factor type corresponding to the optimal energy consumption information based on the simulated energy consumption distribution information corresponding to each energy-saving influencing factor type, and adjusts the charging and discharging mode of the battery pack based on the target influencing factor value of each energy-saving influencing factor type to obtain the target charging and discharging mode of the battery pack. The target influencing factor value is the target influencing factor value of each energy-saving influencing factor type corresponding to the minimum simulated energy consumption information within the current charging and discharging demand range of the battery pack.

[0092] The terminal identifies the influence factor change value of each energy-saving influence factor type and the corresponding relationship between the state change value of each state type based on the simulated state change distribution information of each state type corresponding to each energy-saving influence factor type. Then, based on the influence factor value of each energy-saving influence factor type and the change corresponding relationship between the state value of each state type, the terminal identifies the influence factor value adjustment range of each energy-saving influence factor type corresponding to the target state change value range of each state type, and uses the influence factor value adjustment range of each energy-saving influence factor type as the energy-saving control strategy of the battery pack. The target state change value range of each state type is a state change value range preset in the terminal under the condition of ensuring that the battery pack remains in a stable state and has a low energy consumption state.

[0093] Based on the above scheme, the generated energy-saving control strategy can save energy while controlling the battery pack to be in a stable state during the charging and discharging process to avoid frequent charging and discharging that damages the life of the battery pack, thereby increasing the life value of the battery pack and comprehensively improving the universal effect of energy-saving optimization for different battery packs.

[0094] It should be understood that, although the various steps in the flowcharts involved in the above-mentioned embodiments are displayed in sequence according to the indication of the arrows, these steps are not necessarily executed in sequence according to the order indicated by the arrows. Unless there is a clear explanation in this article, the execution of these steps does not have a strict order restriction, and these steps can be executed in other orders. Moreover, at least a part of the steps in the flowcharts involved in the above-mentioned embodiments can include multiple steps or multiple stages, and these steps or stages are not necessarily executed at the same time, but can be executed at different times, and the execution order of these steps or stages is not necessarily to be carried out in sequence, but can be executed in turn or alternately with other steps or at least a part of the steps or stages in other steps.

[0095] Based on the same inventive concept, the embodiment of the present application also provides a battery pack energy-saving optimization system for implementing the battery pack energy-saving optimization method involved above. The implementation scheme for solving the problem provided by the system is similar to the implementation scheme recorded in the above method, so the specific limitations in one or more battery pack energy-saving optimization system embodiments provided below can refer to the limitations of the battery pack energy-saving optimization method above, and will not be repeated here.

[0096] Further references Figure 2 , as a response to the above Figure 1 To implement the method shown, the present application provides an embodiment of a battery pack energy-saving optimization system 200, which includes an acquisition module 210, a simulation module 220 and an analysis module 230, wherein:

[0097] An acquisition module 210, configured to acquire battery pack structure data of a battery pack, a charge and discharge method of the battery pack, and current battery status information of the battery pack, and construct a battery pack charge and discharge model of the battery pack based on the battery pack structure data of the battery pack and the charge and discharge method of the battery pack;

[0098] The simulation module 220 is used to generate battery simulation parameters of the battery pack based on the current battery status information of the battery pack, and simulate the battery pack charge and discharge model based on the battery simulation parameters and the charge and discharge simulation strategy to obtain battery pack simulation data corresponding to each charge and discharge simulation strategy;

[0099] The analysis module 230 is used to analyze the target charging and discharging mode of the battery pack and the energy-saving control strategy of the battery pack based on the battery pack simulation data corresponding to each of the charging and discharging simulation strategies, and adjust the battery pack operation mode according to the target charging and discharging mode of the battery pack and the energy-saving control strategy of the battery pack to complete the energy-saving optimization task of the battery pack.

[0100] Optionally, the acquisition module 210 is specifically configured to:

[0101] Based on the structural model of the battery pack, a three-dimensional structural model of the battery pack is constructed through a structural modeling model, and based on the charging and discharging mode of the battery pack, a charging and discharging current transmission strategy of the battery pack is identified;

[0102] Based on the charge and discharge current transmission strategy, identifying the charge and discharge current transmission process of the battery pack, the charge and discharge transmission frequency of the battery pack, and the single charge and discharge amplitude value of the battery pack, and based on the charge and discharge current transmission process, generating charge and discharge process parameters through a model parameter generation program;

[0103] Based on the charge and discharge transmission frequency, the charge and discharge transmission frequency parameter is generated by the model parameter generation program, and based on the single charge and discharge amplitude value, the single charge and discharge amplitude parameter is generated by the model parameter generation program;

[0104] The charge and discharge process parameters, the charge and discharge transmission frequency parameters, and the single charge and discharge amplitude parameters are added to the three-dimensional structure model through a simulation modeling program to obtain a battery pack charge and discharge model of the battery pack.

[0105] Optionally, the simulation module 220 is specifically used for:

[0106] Based on the current battery status information of the battery pack, identifying the current status value of each status type of the battery pack;

[0107] In the simulation database, the battery simulation type corresponding to each state type is identified, and based on the battery simulation parameter type corresponding to each state type, the current state value of each state type is converted into a battery simulation parameter of each battery simulation parameter type.

[0108] Optionally, the system further includes:

[0109] an identification module, used to obtain the types of various energy-saving influencing factors of the battery pack during the charging and discharging process, and identify the current battery specification information of the battery pack based on the current battery state of the battery pack;

[0110] A generating module, for generating an influencing factor range of each energy-saving influencing factor type based on current battery specification information of the battery pack, and generating each sub-charging and discharging simulation strategy based on the influencing factor range of each energy-saving influencing factor type by a single variable method principle;

[0111] The determination module is used to use all sub-charge and discharge simulation strategies as the charge and discharge simulation strategy of the battery pack charge and discharge model.

[0112] Optionally, the simulation module 220 is specifically used for:

[0113] Based on the battery simulation parameters and each sub-charge and discharge simulation strategy, the charge and discharge operation process of the battery pack is simulated through the battery pack charge and discharge model to obtain the simulated energy consumption information of the battery pack and the simulated state data of each state type of the battery pack;

[0114] The simulation energy consumption information corresponding to each charge and discharge simulation strategy and the simulation state data of each state type corresponding to each charge and discharge simulation strategy are used as the battery pack simulation data corresponding to each charge and discharge simulation strategy.

[0115] Optionally, the analysis module 230 is specifically used for:

[0116] Based on the simulated energy consumption information corresponding to each charge and discharge simulation strategy and the simulated state data corresponding to each charge and discharge simulation strategy, generate the simulated energy consumption distribution information corresponding to each energy-saving influencing factor type and the simulated state change distribution information of each state type corresponding to each energy-saving influencing factor type;

[0117] Based on the simulated energy consumption distribution information corresponding to each energy-saving influencing factor type, identifying the target influencing factor value of each energy-saving influencing factor type corresponding to the optimal energy consumption information, and based on the target influencing factor value of each energy-saving influencing factor type, adjusting the charging and discharging mode of the battery pack to obtain the target charging and discharging mode of the battery pack;

[0118] Based on the simulated state change distribution information of each state type corresponding to each energy-saving influencing factor type, identifying the corresponding relationship between the influencing factor change value of each energy-saving influencing factor type and the state change value of each state type;

[0119] Based on the corresponding relationship between the influence factor value of each energy-saving influence factor type and the state value of each state type, the influence factor value adjustment range of each energy-saving influence factor type corresponding to the target state change value range of each state type is identified, and the influence factor value adjustment range of each energy-saving influence factor type is used as the energy-saving control strategy of the battery pack.

[0120] Each module in the above battery pack energy-saving optimization system can be implemented in whole or in part by software, hardware, or a combination thereof. Each module can be embedded in or independent of a processor in a computer device in the form of hardware, or can be stored in a memory in a computer device in the form of software, so that the processor can call and execute operations corresponding to each module.

[0121] In one embodiment, a computer device is provided. The computer device may be a terminal, and its internal structure diagram may be as follows: Figure 3 As shown. The computer device includes a processor, a memory, a communication interface, a display screen and an input system connected through a system bus. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The communication interface of the computer device is used to communicate with an external terminal in a wired or wireless manner, and the wireless manner can be achieved through WIFI, a mobile cellular network, NFC (near field communication) or other technologies. When the computer program is executed by the processor, a battery pack energy-saving optimization method is implemented. The display screen of the computer device can be a liquid crystal display screen or an electronic ink display screen, and the input system of the computer device can be a touch layer covered on the display screen, or a button, trackball or touchpad set on the computer device shell, or an external keyboard, touchpad or mouse, etc.

[0122] Those skilled in the art will understand that Figure 3 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0123] In one embodiment, a computer device is provided, including a memory and a processor, wherein a computer program is stored in the memory, and when the processor executes the computer program, the steps of any one of the methods in the first aspect are implemented.

[0124] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the steps of any one of the methods in the first aspect are implemented.

[0125] In one embodiment, a computer program product is provided, comprising a computer program, which, when executed by a processor, implements the steps of any one of the methods in the first aspect.

[0126] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties.

[0127] Those of ordinary skill in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to the memory, database or other medium used in the embodiments provided in the present application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. As an illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The database involved in each embodiment provided in this application may include at least one of a relational database and a non-relational database. Non-relational databases may include distributed databases based on blockchains, etc., but are not limited to this. The processor involved in each embodiment provided in this application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, etc., but are not limited to this.

[0128] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0129] The above-described embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the present application. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the attached claims.

Claims

1. A battery pack energy-saving optimization method, characterized in that: The method comprises: Acquire battery pack structure data of a battery pack, a charge and discharge method of the battery pack, and current battery status information of the battery pack, and construct a battery pack charge and discharge model of the battery pack based on the battery pack structure data of the battery pack and the charge and discharge method of the battery pack; Generate battery simulation parameters of the battery pack based on current battery status information of the battery pack, and simulate the battery pack charge and discharge model based on the battery simulation parameters and the charge and discharge simulation strategy to obtain battery pack simulation data corresponding to each charge and discharge simulation strategy; Based on the battery pack simulation data corresponding to each of the charging and discharging simulation strategies, the target charging and discharging mode of the battery pack and the energy-saving control strategy of the battery pack are analyzed, and the target charging and discharging mode of the battery pack and the energy-saving control strategy of the battery pack are used to adjust the operating mode of the battery pack to complete the energy-saving optimization task of the battery pack.

2. The method according to claim 1, characterized in that The step of constructing a battery pack charge and discharge model of the battery pack based on the battery pack structure data of the battery pack and the charge and discharge mode of the battery pack includes: Based on the structural model of the battery pack, a three-dimensional structural model of the battery pack is constructed through a structural modeling model, and based on the charging and discharging mode of the battery pack, a charging and discharging current transmission strategy of the battery pack is identified; Based on the charge and discharge current transmission strategy, identifying the charge and discharge current transmission process of the battery pack, the charge and discharge transmission frequency of the battery pack, and the single charge and discharge amplitude value of the battery pack, and based on the charge and discharge current transmission process, generating charge and discharge process parameters through a model parameter generation program; Based on the charge and discharge transmission frequency, the charge and discharge transmission frequency parameter is generated by the model parameter generation program, and based on the single charge and discharge amplitude value, the single charge and discharge amplitude parameter is generated by the model parameter generation program; The charge and discharge process parameters, the charge and discharge transmission frequency parameters, and the single charge and discharge amplitude parameters are added to the three-dimensional structure model through a simulation modeling program to obtain a battery pack charge and discharge model of the battery pack.

3. The method according to claim 2, characterized in that The generating the battery simulation parameters of the battery pack based on the current battery status information of the battery pack comprises: Based on the current battery status information of the battery pack, identifying the current status value of each status type of the battery pack; In the simulation database, the battery simulation type corresponding to each state type is identified, and based on the battery simulation parameter type corresponding to each state type, the current state value of each state type is converted into a battery simulation parameter of each battery simulation parameter type.

4. The method according to claim 3, characterized in that Before simulating the battery pack charge and discharge model based on the battery simulation parameters and the charge and discharge simulation strategy to obtain battery pack simulation data corresponding to each charge and discharge simulation strategy, the method further includes: Acquire various energy-saving influencing factor types of the battery pack during the charging and discharging process, and identify current battery specification information of the battery pack based on the current battery state of the battery pack; Based on the current battery specification information of the battery pack, generating an influencing factor range of each energy-saving influencing factor type, and based on the influencing factor range of each energy-saving influencing factor type, generating each sub-charging and discharging simulation strategy through the principle of single variable method; All sub-charge and discharge simulation strategies are used as the charge and discharge simulation strategy of the battery pack charge and discharge model.

5. The method according to claim 4, characterized in that The battery pack charge and discharge model is simulated based on the battery simulation parameters and the charge and discharge simulation strategy to obtain battery pack simulation data corresponding to each charge and discharge simulation strategy, including: Based on the battery simulation parameters and each sub-charge and discharge simulation strategy, the charge and discharge operation process of the battery pack is simulated through the battery pack charge and discharge model to obtain the simulated energy consumption information of the battery pack and the simulated state data of each state type of the battery pack; The simulation energy consumption information corresponding to each charge and discharge simulation strategy and the simulation state data of each state type corresponding to each charge and discharge simulation strategy are used as the battery pack simulation data corresponding to each charge and discharge simulation strategy.

6. The method according to claim 5, characterized in that The target charging and discharging mode of the battery pack and the energy-saving control strategy of the battery pack are analyzed based on the battery pack simulation data corresponding to each of the charging and discharging simulation strategies, including: Based on the simulated energy consumption information corresponding to each charge and discharge simulation strategy and the simulated state data corresponding to each charge and discharge simulation strategy, generate the simulated energy consumption distribution information corresponding to each energy-saving influencing factor type and the simulated state change distribution information of each state type corresponding to each energy-saving influencing factor type; Based on the simulated energy consumption distribution information corresponding to each energy-saving influencing factor type, identifying the target influencing factor value of each energy-saving influencing factor type corresponding to the optimal energy consumption information, and based on the target influencing factor value of each energy-saving influencing factor type, adjusting the charging and discharging mode of the battery pack to obtain the target charging and discharging mode of the battery pack; Based on the simulated state change distribution information of each state type corresponding to each energy-saving influencing factor type, identifying the corresponding relationship between the influencing factor change value of each energy-saving influencing factor type and the state change value of each state type; Based on the corresponding relationship between the influence factor value of each energy-saving influence factor type and the state value of each state type, the influence factor value adjustment range of each energy-saving influence factor type corresponding to the target state change value range of each state type is identified, and the influence factor value adjustment range of each energy-saving influence factor type is used as the energy-saving control strategy of the battery pack.

7. A battery pack energy-saving optimization system, characterized in that: The system comprises: an acquisition module, used to acquire battery pack structure data of a battery pack, a charge and discharge method of the battery pack, and current battery status information of the battery pack, and construct a battery pack charge and discharge model of the battery pack based on the battery pack structure data of the battery pack and the charge and discharge method of the battery pack; A simulation module, used to generate battery simulation parameters of the battery pack based on current battery status information of the battery pack, and simulate the battery pack charge and discharge model based on the battery simulation parameters and the charge and discharge simulation strategy to obtain battery pack simulation data corresponding to each charge and discharge simulation strategy; The analysis module is used to analyze the target charging and discharging mode of the battery pack and the energy-saving control strategy of the battery pack based on the battery pack simulation data corresponding to each of the charging and discharging simulation strategies, and adjust the battery pack operation mode according to the target charging and discharging mode of the battery pack and the energy-saving control strategy of the battery pack to complete the energy-saving optimization task of the battery pack.

8. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 6 are implemented.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

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