Battery pack normal energy saving method and system based on battery pack loss detection

Abstract

The present invention provides a normal energy-saving method and system for battery packs based on battery pack loss detection. The method includes: obtaining battery pack structure data, battery pack operation mode, and battery pack specification information of the battery pack, thereby constructing a battery pack simulation model of the battery pack; identifying the normal operation range of each operating parameter type of the battery pack, and generating each normal operation strategy of the battery pack; based on each normal operation strategy, simulating the simulation operation data of the battery pack under each normal operation strategy through the battery pack simulation model of the battery pack, and based on the actual operation data and simulation operation data of the battery pack under each normal operation strategy, detecting the simulation loss information corresponding to each normal operation strategy through the battery pack loss detection strategy, thereby screening the target normal operation strategy of the battery pack. The adoption of this solution can improve the energy-saving effect of the battery pack under normal operation.

Description

Technical Field

[0001] The present invention relates to the technical field of battery energy saving and battery optimization, and in particular to a normal energy saving method and system for a battery pack based on battery pack loss detection. Background Art

[0002] As battery technology continues to improve, improving energy efficiency and reducing battery loss, thereby effectively delaying battery aging, has become a key research focus. Battery packs, in particular, involve high-frequency, high-voltage, and high-current charging and discharging processes, which result in significant losses. Energy-saving optimization can effectively reduce the charge and discharge frequency and voltage, thereby extending the battery life. Therefore, improving the normal energy-saving optimization of battery packs is a current research priority.

[0003] Traditionally, battery pack energy-saving optimization has been achieved by manually controlling the battery pack's charge and discharge patterns, and by using the battery pack's energy-saving mode during use. However, manual control and energy-saving modes can degrade the actual operating state of the battery pack, resulting in poor energy-saving performance during normal operation. Summary of the Invention

[0004] The main purpose of the present invention is to provide a normal energy-saving method and system for a battery pack based on battery pack loss detection, aiming to solve the problem in the prior art that manual control and energy-saving mode will make the actual operating state of the battery pack poor, resulting in poor energy-saving effect of the battery pack in the normal operating state.

[0005] To achieve the above objectives, the present invention provides a normal energy saving method for a battery pack based on battery pack loss detection, the method comprising:

[0006] Acquiring battery pack structure data of a battery pack, a battery pack operation mode of the battery pack, and battery pack specification information of the battery pack, and constructing a battery pack simulation model of the battery pack based on the battery pack operation mode and the battery pack structure data;

[0007] identifying, based on battery pack specification information of the battery pack, a normal operating range of each operating parameter type of the battery pack, and generating each normal operating strategy of the battery pack based on the normal operating range of each operating parameter type;

[0008] Based on each of the normal operation strategies, simulating the simulated operation data of the battery pack under each normal operation strategy through a battery pack simulation model of the battery pack, and detecting the simulated loss information corresponding to each normal operation strategy through a battery pack loss detection strategy based on the actual operation data of the battery pack under each normal operation strategy and the simulated operation data of the battery pack under each normal operation strategy;

[0009] Based on the simulation loss information corresponding to each normal operation strategy, the target normal operation strategy of the battery pack is screened.

[0010] Optionally, constructing a battery pack simulation model of the battery pack based on the battery pack operation mode and the battery pack structure data includes:

[0011] identifying, based on the battery pack structure data, a three-dimensional battery structure of each battery of the battery pack and a battery connection relationship among the batteries of the battery pack, and constructing a three-dimensional structural model of the battery pack based on the three-dimensional battery structure of each battery and the battery connection relationship among the batteries;

[0012] identifying, based on the operating mode of the battery pack, a battery charge and discharge mode of each battery and a current transmission mode between the batteries, and generating, through a model parameter generation program, battery charge and discharge parameters for each battery and current transmission parameters between the batteries based on the battery charge and discharge mode of each battery and the current transmission mode between the batteries;

[0013] Based on the battery charge and discharge parameters of each battery and the current transmission parameters between each battery, they are added to the three-dimensional structural model of the battery pack to obtain a battery pack simulation model of the battery pack.

[0014] Optionally, the identifying a normal operating range of each operating parameter type of the battery pack based on the battery pack specification information of the battery pack includes:

[0015] Splitting the battery pack specification information of the battery pack into operation specification information of each operation parameter type, and identifying, for each operation parameter type, operation range distribution information of the operation parameter type based on the operation specification information of the operation parameter type;

[0016] In the operating range distribution information of the operating parameter type, a sub-operating range belonging to the normal operating type is filtered, and the sub-operating range of the normal operating type is used as the normal operating range of the operating parameter type.

[0017] Optionally, generating each normal operation strategy of the battery pack based on the normal operation range of each operating parameter type includes:

[0018] Acquiring the operating logic of the battery pack and identifying normal operating data corresponding to each operating parameter type based on the normal operating range of each operating parameter type;

[0019] Based on the normal operation data corresponding to each operating parameter type, an initial normal operation strategy containing each operating parameter type is generated through a single variable strategy, and based on the operating logic of the battery pack, the initial normal operation strategy that conforms to the operating logic is screened among the initial normal operation strategies to obtain the normal operation strategies of the battery pack.

[0020] Optionally, the detecting, based on the actual operation data of the battery pack in each normal operation strategy and the simulated operation data of the battery pack in each normal operation strategy, the simulated loss information corresponding to each normal operation strategy through the battery pack loss detection strategy includes:

[0021] Acquire actual operating data of the battery pack under each normal operating strategy, and identify operating deviation information of each normal operating strategy under each operating data type based on the actual operating data of each normal operating strategy and the simulated operating data of each normal operating strategy;

[0022] For each normal operation strategy, based on the operation deviation information of each operation data type of the normal operation strategy, the simulation loss information corresponding to the normal operation strategy is identified through the battery pack loss detection strategy.

[0023] Optionally, screening the target normal operation strategy of the battery pack based on the simulated loss information corresponding to each normal operation strategy includes:

[0024] Based on the simulated loss information of each operating parameter type in each normal operating strategy, identifying the normal operating data of each operating parameter type and the associated information with the simulated loss;

[0025] Based on each piece of associated information, the simulation energy consumption screening strategy is used to generate each initial target normal operation strategy corresponding to the lowest simulated energy consumption, and based on each of the initial target normal operation strategies and the operating logic of the battery pack, the simulation loss screening strategy is used to screen the target normal operation strategy corresponding to the lowest simulated loss.

[0026] In addition, to achieve the above-mentioned purpose, the present invention further provides a battery pack normal energy-saving system based on battery pack loss detection, the battery pack normal energy-saving system based on battery pack loss detection comprising:

[0027] an acquisition module, specifically configured to acquire battery pack structure data of a battery pack, a battery pack operation mode of the battery pack, and battery pack specification information of the battery pack, and construct a battery pack simulation model of the battery pack based on the battery pack operation mode and the battery pack structure data;

[0028] a generating module, specifically configured to identify, based on battery pack specification information of the battery pack, a normal operating range of each operating parameter type of the battery pack, and generate each normal operating strategy of the battery pack based on the normal operating range of each operating parameter type;

[0029] a detection module, configured to simulate, based on each of the normal operation strategies, the simulated operation data of the battery pack under each normal operation strategy using a battery pack simulation model of the battery pack, and detect, based on the actual operation data of the battery pack under each normal operation strategy and the simulated operation data of the battery pack under each normal operation strategy, the simulated loss information corresponding to each normal operation strategy using a battery pack loss detection strategy;

[0030] The screening module is used to screen the target normal operation strategy of the battery pack based on the simulation loss information corresponding to each normal operation strategy.

[0031] Optionally, the acquisition module is specifically configured to:

[0032] identifying, based on the battery pack structure data, a three-dimensional battery structure of each battery of the battery pack and a battery connection relationship among the batteries of the battery pack, and constructing a three-dimensional structural model of the battery pack based on the three-dimensional battery structure of each battery and the battery connection relationship among the batteries;

[0033] identifying, based on the operating mode of the battery pack, a battery charge and discharge mode of each battery and a current transmission mode between the batteries, and generating, through a model parameter generation program, battery charge and discharge parameters for each battery and current transmission parameters between the batteries based on the battery charge and discharge mode of each battery and the current transmission mode between the batteries;

[0034] Based on the battery charge and discharge parameters of each battery and the current transmission parameters between each battery, they are added to the three-dimensional structural model of the battery pack to obtain a battery pack simulation model of the battery pack.

[0035] Optionally, the generating module is specifically configured to:

[0036] Splitting the battery pack specification information of the battery pack into operation specification information of each operation parameter type, and identifying, for each operation parameter type, operation range distribution information of the operation parameter type based on the operation specification information of the operation parameter type;

[0037] In the operating range distribution information of the operating parameter type, a sub-operating range belonging to the normal operating type is filtered, and the sub-operating range of the normal operating type is used as the normal operating range of the operating parameter type.

[0038] Optionally, the generating module is specifically configured to:

[0039] Acquiring the operating logic of the battery pack and identifying normal operating data corresponding to each operating parameter type based on the normal operating range of each operating parameter type;

[0040] Based on the normal operation data corresponding to each operating parameter type, an initial normal operation strategy containing each operating parameter type is generated through a single variable strategy, and based on the operating logic of the battery pack, the initial normal operation strategy that conforms to the operating logic is screened among the initial normal operation strategies to obtain the normal operation strategies of the battery pack.

[0041] Optionally, the detection module is specifically configured to:

[0042] Acquire actual operating data of the battery pack under each normal operating strategy, and identify operating deviation information of each normal operating strategy under each operating data type based on the actual operating data of each normal operating strategy and the simulated operating data of each normal operating strategy;

[0043] For each normal operation strategy, based on the operation deviation information of each operation data type of the normal operation strategy, the simulation loss information corresponding to the normal operation strategy is identified through the battery pack loss detection strategy.

[0044] Optionally, the screening module is specifically used to:

[0045] Based on the simulated loss information of each operating parameter type in each normal operating strategy, identifying the normal operating data of each operating parameter type and the associated information with the simulated loss;

[0046] Based on each piece of associated information, the simulation energy consumption screening strategy is used to generate each initial target normal operation strategy corresponding to the lowest simulated energy consumption, and based on each of the initial target normal operation strategies and the operating logic of the battery pack, the simulation loss screening strategy is used to screen the target normal operation strategy corresponding to the lowest simulated loss.

[0047] In a third aspect, the present application provides a computer device comprising a memory and a processor, wherein the memory stores a computer program, and the processor implements the steps of any one of the methods described in the first aspect when executing the computer program.

[0048] In a fourth aspect, the present application provides a computer-readable storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the steps of any one of the methods in the first aspect.

[0049] In a fifth aspect, the present application provides a computer program product, wherein the computer program product comprises 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.

[0050] The present invention provides a normal energy-saving method and system for battery packs based on battery pack loss detection, the method comprising: obtaining battery pack structure data of the battery pack, the battery pack operation mode of the battery pack, and the battery pack specification information of the battery pack, and constructing a battery pack simulation model of the battery pack based on the battery pack operation mode and the battery pack structure data; identifying the normal operation range of each operation parameter type of the battery pack based on the battery pack specification information of the battery pack, and generating each normal operation strategy of the battery pack based on the normal operation range of each operation parameter type; simulating the simulation operation data of the battery pack at each normal operation strategy through the battery pack simulation model of the battery pack based on each normal operation strategy, and detecting the simulation loss information corresponding to each normal operation strategy through the battery pack loss detection strategy based on the actual operation data of the battery pack at each normal operation strategy and the simulation operation data of the battery pack at each normal operation strategy; screening the target normal operation strategy of the battery pack based on the simulation loss information corresponding to each normal operation strategy. This solution uses battery pack modeling to generate a normal operation strategy based on the permutations and combinations of normal operation data within the normal operation range of each operating parameter type. Then, through model simulation, simulated operation data for each normal operation strategy is generated. Subsequently, the terminal identifies the simulated loss information corresponding to each normal operation strategy based on the actual operation data and the simulated operation data of each normal operation strategy, thereby selecting a target normal operation strategy for the battery pack. This simulated loss information includes simulated energy loss information and simulated battery pack loss information. During the normal energy conservation process for the battery pack, a normal operation strategy with minimal battery pack loss and excellent energy conservation effects is selected from both the perspectives of battery pack energy conservation and battery pack loss. While ensuring the normal operation of the battery pack and its actual operating status, the normal operation strategy for the battery pack under normal operation is selected from the perspective of battery pack loss as the optimal normal operation strategy for the battery pack. This avoids the impact of manual control and standardized energy-saving modes on the operating status, thereby comprehensively improving the energy conservation effect of the battery pack under normal operation. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] In order to more clearly illustrate the solutions in this application, a brief introduction will be given below to the drawings required for use in the description of the embodiments of this application. Obviously, the drawings described below are some embodiments of this application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without any creative work.

[0052] Figure 1 This is a flow chart of a normal energy-saving method for a battery pack based on battery pack loss detection provided by an embodiment of the present invention;

[0053] Figure 2 1 is a schematic structural diagram of a battery pack normal energy-saving system based on battery pack loss detection provided by an embodiment of the present invention;

[0054] Figure 3 This is a diagram of the internal structure of a computer device provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0055] The battery pack normal energy saving method based on battery pack loss detection provided by an embodiment of the present invention is applied to the battery pack normal energy saving system based on battery pack loss detection. 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 figure descriptions 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 figures are used to distinguish different objects, not to describe a specific order.

[0056] References herein to "embodiments" mean that a particular feature, structure, or characteristic described in connection with the embodiments may be included in at least one embodiment of the present application. The appearance of this phrase in various places in the specification does not necessarily refer to the same embodiment, nor does it constitute an independent or alternative embodiment that is mutually exclusive of other embodiments. It is understood, both explicitly and implicitly, by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0057] 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.

[0058] The battery pack normal energy saving method based on battery pack loss detection provided in the embodiments of the present application can be applied in the application environment of dietary management. The method can be applied to a terminal, a server, or a system including a terminal and a server, and implemented through the interaction between the terminal and the server. The terminal can be, but is not limited to, various personal computers, laptops, smartphones, tablets, etc. The terminal generates a normal operation strategy based on the arrangement and combination of normal operation data of the battery pack within the normal operation range of each operating parameter type by modeling the battery pack, and then generates simulated operation data of the battery pack under each normal operation strategy by model simulation. The terminal then identifies the simulated loss information corresponding to each normal operation strategy based on the actual operation data of each normal operation strategy and the simulated operation data of each normal operation strategy, thereby selecting the target normal operation strategy for the battery pack. The simulated loss information includes simulated energy consumption loss information and simulated battery pack loss information, so that during the normal energy saving process of the battery pack, the normal operation strategy with the lowest battery pack loss and the best energy saving effect can be selected from the two perspectives of battery pack energy saving and battery pack loss. While ensuring that the battery pack can operate normally and the actual operating status is normal, the normal operating strategy of the battery pack under normal operating status is screened from the perspective of battery pack loss as the optimal normal operating strategy for the battery pack, avoiding the impact of manual control and standardized energy-saving modes on the operating status, thereby comprehensively improving the energy-saving effect of the battery pack under normal operating status.

[0059] In one embodiment, Figure 1 As shown, a normal battery energy saving method based on battery loss detection is provided. The method is described by taking the application of the method to a terminal as an example, and includes the following steps:

[0060] Step S101 , obtaining battery pack structure data, battery pack operation mode, and battery pack specification information of a battery pack, and constructing a battery pack simulation model of the battery pack based on the battery pack operation mode and battery pack structure data.

[0061] In this embodiment, the terminal uses a three-dimensional scanning device to perform structural scanning on the external structure and internal structure of each battery in the battery pack, respectively, to obtain the three-dimensional structure of each battery. The terminal then obtains the battery connection method between each battery in response to the battery connection method input by the staff, and obtains the battery pack structure data of the battery pack. The terminal then collects the battery pack model of the battery pack and identifies the battery pack specification information of the battery pack and the battery pack operation mode of the battery pack in the battery pack database. The battery pack database stores the correspondence between each battery pack model and the battery pack specification information, as well as the battery pack operation mode. Finally, the terminal constructs a battery pack simulation model of the battery pack based on the battery pack operation mode and the battery pack structure data. The battery pack simulation model is a model corresponding to the simulation operation process of the battery pack. The model is a finite element model constructed based on the finite element modeling strategy. The specific construction process will be described in detail later.

[0062] Step S102 : identifying the normal operation range of each operation parameter type of the battery pack based on the battery pack specification information of the battery pack, and generating each normal operation strategy of the battery pack based on the normal operation range of each operation parameter type.

[0063] In this embodiment, the terminal identifies the normal operating range of each operating parameter type of the battery pack based on the battery pack specification information of the battery pack, and generates each normal operating strategy for the battery pack based on the normal operating range of each operating parameter type. The operating parameter types of the battery pack include, but are not limited to, battery charging frequency type, battery discharging frequency type, current charging voltage type, current discharging voltage type, current charging current type, and current discharging type. Each operating parameter type corresponds to an operating range, which includes a sub-operating range of an extreme operating state, a sub-operating range of a normal operating state, a sub-operating range of a low-energy operating state, and the like. The terminal selects the sub-operating range corresponding to the normal operating state as the normal operating range, and generates a normal operating strategy corresponding to the normal operating data of each operating parameter type based on the principle of the single variable method. The specific generation process will be described in detail later.

[0064] In step S103, based on each normal operation strategy, the battery pack simulation model of the battery pack is used to simulate the simulation operation data of the battery pack in each normal operation strategy, and based on the actual operation data of the battery pack in each normal operation strategy and the simulation operation data of the battery pack in each normal operation strategy, the battery pack loss detection strategy is used to detect the simulation loss information corresponding to each normal operation strategy.

[0065] In this embodiment, based on each normal operation strategy, the terminal uses a battery pack simulation model to simulate the simulated operating data of the battery pack under each normal operation strategy. Based on the actual operating data of the battery pack under each normal operation strategy and the simulated operating data of the battery pack under each normal operation strategy, the terminal uses a battery pack loss detection strategy to detect the simulated loss information corresponding to each normal operation strategy. The simulated operating data for each normal operation strategy is obtained by performing a simulation run using a preset operating time, operating mode, and operating conditions. The operating time, operating mode, and operating conditions are data preset in the terminal by the operator. By using the operating data after long-term, repeated charge and discharge operation, as well as the simulated operating data after long-term, repeated charge and discharge operation, it is possible to identify the battery loss information and power consumption loss information of the battery pack under different normal operation strategy conditions. The battery loss information can be represented by the change in the battery's maximum capacity, the change in the battery's discharge rate, and the change in the battery's charge rate. The specific process for detecting simulated loss information will be described in detail later.

[0066] Step S104 : Filtering a target normal operation strategy of the battery pack based on the simulated loss information corresponding to each normal operation strategy.

[0067] In this embodiment, the terminal selects the target normal operation strategy for the battery pack based on the simulated loss information corresponding to each normal operation strategy. The selected target normal operation strategy is the minimum battery loss information for the battery pack under normal conditions, obtained from the combination of operating parameter types, and the normal operation data corresponding to the minimum battery power consumption information. The specific screening process will be described in detail later.

[0068] Based on the above scheme, the simulated loss information corresponding to each normal operation strategy is identified through the actual operation data of each normal operation strategy and the simulated operation data of each normal operation strategy, so as to screen the target normal operation strategy of the battery pack. Among them, the simulated loss information includes simulated energy consumption loss information and simulated battery pack loss information, so that in the normal energy saving process of the battery pack, the normal operation strategy with less loss to the battery pack and better energy saving effect can be screened from the two perspectives of battery pack energy saving and battery pack loss. So that, while ensuring that the battery pack can operate normally and the actual operating state is normal, the normal operation strategy of the battery pack in the normal operation state is screened from the perspective of battery pack loss as the optimal normal operation strategy of the battery pack, avoiding the problems of manual control and the influence of standardized energy-saving mode on the operating state, thereby comprehensively improving the energy saving effect of the battery pack in the normal operation state.

[0069] Optionally, a battery pack simulation model of the battery pack is constructed based on the battery pack operation mode and the battery pack structure data, including: identifying the three-dimensional battery structure of each battery of the battery pack and the battery connection relationship of each battery of the battery pack based on the battery pack structure data, and constructing a three-dimensional structural model of the battery pack based on the three-dimensional battery structure of each battery and the battery connection relationship of each battery; identifying the battery charging and discharging mode of each battery and the current transmission mode between each battery based on the battery pack operation mode, and generating battery charging and discharging parameters of each battery and current transmission parameters between each battery through a model parameter generation program based on the battery charging and discharging mode of each battery and the current transmission mode between each battery; adding the battery charging and discharging parameters of each battery and the current transmission parameters between each battery to the three-dimensional structural model of the battery pack to obtain a battery pack simulation model of the battery pack.

[0070] In this embodiment, the terminal identifies the three-dimensional structure of each battery in the battery pack and the battery connection relationship of each battery in the battery pack based on the battery pack structure data, and constructs a three-dimensional structural model of the battery pack based on the three-dimensional structure of each battery and the battery connection relationship. The three-dimensional structural model includes the external three-dimensional structural model of each battery in the battery pack and the structural model corresponding to the internal three-dimensional structure.

[0071] Based on the battery pack operating mode, the terminal identifies the battery charge and discharge mode of each battery and the current transmission mode between each battery. Based on the battery charge and discharge mode of each battery and the current transmission mode between each battery, the terminal generates battery charge and discharge parameters for each battery and current transmission parameters between each battery through a model parameter generation program. The model parameter generation program is a parameter conversion program corresponding to the COMSOL Multiphysics software. Finally, the terminal adds the battery charge and discharge parameters of each battery and the current transmission parameters between each battery to the three-dimensional structural model of the battery pack to obtain a battery pack simulation model of the battery pack.

[0072] Based on the above solution, by combining the battery pack operation mode and battery pack structure data, a battery pack simulation model of the battery pack is constructed, thereby improving the simulation accuracy of the battery pack simulation model.

[0073] Optionally, based on the battery pack specification information of the battery pack, the normal operating range of each operating parameter type of the battery pack is identified, including: splitting the battery pack specification information of the battery pack into operating specification information of each operating parameter type, and for each operating parameter type, identifying the operating range distribution information of the operating parameter type based on the operating specification information of the operating parameter type; in the operating range distribution information of the operating parameter type, filtering the sub-operating range belonging to the normal operating type, and using the sub-operating range of the normal operating type as the normal operating range of the operating parameter type.

[0074] In this embodiment, the terminal divides the battery pack specification information of the battery pack into operating specification information for each operating parameter type, and identifies operating range distribution information for each operating parameter type based on the operating specification information for the operating parameter type. The operating specification information includes operating range distribution information for each operating parameter type. Each operating range distribution information includes a sub-operating range corresponding to each operating state.

[0075] Then, the terminal screens the sub-operation range belonging to the normal operation type from the operation range distribution information of the operation parameter type, and uses the sub-operation range of the normal operation type as the normal operation range of the operation parameter type.

[0076] Based on the above scheme, by screening the sub-operating range of the normal operation type, it is effectively ensured that the simulation process is the process under the normal operating state of the battery pack, avoiding the problem of reducing the operating state of the battery pack due to energy-saving optimization and loss optimization, and improving the optimization effect of energy-saving optimization and loss optimization.

[0077] Optionally, based on the normal operating range of each operating parameter type, various normal operating strategies for the battery pack are generated, including: obtaining the operating logic of the battery pack, and identifying the normal operating data corresponding to each operating parameter type based on the normal operating range of each operating parameter type; based on the normal operating data corresponding to each operating parameter type, generating an initial normal operating strategy containing each operating parameter type through a single variable strategy, and based on the operating logic of the battery pack, screening the initial normal operating strategy that conforms to the operating logic from the initial normal operating strategy to obtain various normal operating strategies for the battery pack.

[0078] In this embodiment, the terminal obtains the operating logic of the battery pack and, based on the normal operating range of each operating parameter type, identifies the normal operating data corresponding to each operating parameter type. The operating logic of the battery pack is the association information between different operating parameter types. This association information represents the normal operating data range of each operating parameter type corresponding to the normal operating data range of other operating parameter types when the operating logic is met. For example, the corresponding relationship between the charging voltage range of a battery charging voltage type and the charging current range of a battery charging current type. The normal operating data within each normal operating data range represents the data intervals for each operating parameter type preset by the operator, and the operating data corresponding to each data interval point within the normal operating data range.

[0079] Then, the terminal generates an initial normal operation strategy containing each operating parameter type based on the normal operation data corresponding to each operating parameter type through a single variable strategy, and based on the operating logic of the battery pack, screens the initial normal operation strategy that conforms to the operating logic among the initial normal operation strategies to obtain the normal operation strategies of the battery pack.

[0080] Based on the above scheme, after generating each initial normal operation strategy through the single variable method, the initial normal operation strategy that conforms to the operation logic is screened to obtain each normal operation strategy of the battery pack, thereby improving the practicality and accuracy of the normal operation strategy.

[0081] Optionally, based on the actual operating data of the battery pack under each normal operating strategy and the simulated operating data of the battery pack under each normal operating strategy, the simulated loss information corresponding to each normal operating strategy is detected through the battery pack loss detection strategy, including: obtaining the actual operating data of the battery pack under each normal operating strategy, and identifying the operating deviation information of each normal operating strategy in each operating data type based on the actual operating data of each normal operating strategy and the simulated operating data of each normal operating strategy; for each normal operating strategy, based on the operating deviation information of each operating data type of the normal operating strategy, identifying the simulated loss information corresponding to the normal operating strategy through the battery pack loss detection strategy.

[0082] In this embodiment, the terminal obtains the actual operating data of the battery pack under each normal operating strategy, and identifies the operating deviation information of each normal operating strategy under each operating data type based on the actual operating data of each normal operating strategy and the simulated operating data of each normal operating strategy. The operating data includes the maximum capacity of the battery, the battery discharge rate, the battery charging rate, and the battery power consumption per unit time. The unit time is a time period preset by the staff at the terminal. For example, 10 minutes, 20 minutes, 30 minutes, etc. The operating deviation information includes, but is not limited to, the deviation value of the maximum capacity of the battery, the deviation value of the battery discharge rate, the deviation value of the battery charging rate, and the deviation value of the battery power consumption per unit time.

[0083] For each normal operation strategy, the terminal identifies the simulated loss information corresponding to the normal operation strategy through the battery pack loss detection strategy based on the operation deviation information of each operation data type of the normal operation strategy. Among them, the battery pack loss detection strategy includes each weight value of the maximum battery capacity, the weight value of the battery discharge rate, the weight value of the battery charging rate, and the weight value of the battery unit time power consumption information. Among them, the weight value of the maximum battery capacity, the weight value of the battery discharge rate, and the weight value of the battery charging rate are weighted and summed with the deviation value of the maximum battery capacity, the deviation value of the battery discharge rate, and the deviation value of the battery charging rate to obtain the battery loss information of the battery pack; the deviation value of the battery unit time power consumption information is multiplied by the weight value of the battery unit time power consumption information to obtain the battery power consumption change information of the battery pack. Finally, the terminal uses the battery loss information of the battery pack and the battery power consumption change information of the battery pack as the simulated loss information corresponding to the normal operation strategy.

[0084] Based on the above scheme, the deviation values ​​between the actual operating data of the battery pack and the simulated operating data are used to calculate the deviation value of the battery's maximum capacity, the deviation value of the battery discharge rate, the deviation value of the battery charging rate, and the deviation value of the battery power consumption information per unit time. Then, the battery loss information of the battery pack and the battery power consumption change information of the battery pack are weighted to obtain the battery loss information, thereby improving the accuracy and comprehensiveness of the recognition of the simulated loss information corresponding to the normal operation strategy.

[0085] Optionally, based on the simulation loss information corresponding to each normal operation strategy, the target normal operation strategy of the battery pack is screened, including: based on the simulation loss information of each operating parameter type in each normal operation strategy, identifying the normal operation data of each operating parameter type and the associated information with the simulation loss; based on each associated information, generating each initial target normal operation strategy corresponding to the lowest simulated energy consumption through the simulation energy consumption screening strategy, and based on each initial target normal operation strategy and the operating logic of the battery pack, screening the target normal operation strategy corresponding to the lowest simulated loss through the simulation loss screening strategy.

[0086] In this embodiment, the terminal identifies the normal operation data of each operating parameter type and the associated information with the simulated loss based on the simulated loss information of each normal operation strategy for each operating parameter type. The associated information includes the corresponding relationship between the change value of the normal operation data of each operating parameter type and the change value of the simulated loss. The simulated loss includes battery loss information and the specific numerical value of the battery power consumption change information. The terminal constructs a change distribution graph for each operating parameter type based on the discrete data of each actual operating data and the simulated operation data, and fits the change distribution graph of each operating parameter type using the curve fitting strategy corresponding to the least squares method to obtain a change distribution curve for each operating parameter type. Then, based on each change distribution curve, the terminal screens the normal operation data range corresponding to the lowest simulated power consumption range within a preset range for each operating parameter type. Subsequently, the terminal generates each first normal operation strategy based on the lowest simulated power consumption range of each operating parameter type using the single variable method, and screens a second normal operation strategy that meets the operation logic in each first normal operation strategy using the operation logic of the battery pack.

[0087] Then, the terminal selects the second normal operation strategy corresponding to the lowest simulated power consumption from each second normal operation strategy to obtain the target normal operation strategy.

[0088] It should be understood that, although the various steps in the flowcharts involved in the various embodiments described above are displayed in sequence according to the instructions of the arrows, these steps are not necessarily executed in sequence in the order indicated by the arrows. Unless otherwise specified herein, there is no strict order restriction on the execution of these steps, and these steps can be executed in other orders. Moreover, at least a portion of the steps in the flowcharts involved in the various embodiments described above can include multiple steps or multiple stages, and these steps or stages are not necessarily executed and completed 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 portion of steps or stages in other steps.

[0089] Based on the same inventive concept, an embodiment of the present application further provides a battery pack normal energy-saving system based on battery pack loss detection for implementing the above-mentioned battery pack normal energy-saving method based on battery pack loss detection. The implementation solution provided by this system is similar to the implementation solution described in the above-mentioned method. Therefore, the specific limitations of one or more embodiments of the battery pack normal energy-saving system based on battery pack loss detection provided below can be found in the above-mentioned limitations of the battery pack normal energy-saving method based on battery pack loss detection, and will not be repeated here.

[0090] 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 normal energy-saving system 200 based on battery pack loss detection. The battery pack normal energy-saving system based on battery pack loss detection includes an acquisition module 210, a generation module 220, a detection module 230, and a screening module 230, wherein:

[0091] an acquisition module 210, specifically configured to acquire battery pack structure data of a battery pack, a battery pack operation mode of the battery pack, and battery pack specification information of the battery pack, and construct a battery pack simulation model of the battery pack based on the battery pack operation mode and the battery pack structure data;

[0092] a generating module 220, specifically configured to identify a normal operating range of each operating parameter type of the battery pack based on the battery pack specification information of the battery pack, and generate each normal operating strategy of the battery pack based on the normal operating range of each operating parameter type;

[0093] a detection module 230 configured to simulate, based on each of the normal operation strategies, the simulated operation data of the battery pack under each normal operation strategy using a battery pack simulation model of the battery pack, and detect, based on the actual operation data of the battery pack under each normal operation strategy and the simulated operation data of the battery pack under each normal operation strategy, simulated loss information corresponding to each normal operation strategy using a battery pack loss detection strategy;

[0094] The screening module 240 is configured to screen the target normal operation strategy of the battery pack based on the simulated loss information corresponding to each normal operation strategy.

[0095] Optionally, the acquisition module 210 is specifically configured to:

[0096] identifying, based on the battery pack structure data, a three-dimensional battery structure of each battery of the battery pack and a battery connection relationship among the batteries of the battery pack, and constructing a three-dimensional structural model of the battery pack based on the three-dimensional battery structure of each battery and the battery connection relationship among the batteries;

[0097] identifying, based on the operating mode of the battery pack, a battery charge and discharge mode of each battery and a current transmission mode between the batteries, and generating, through a model parameter generation program, battery charge and discharge parameters for each battery and current transmission parameters between the batteries based on the battery charge and discharge mode of each battery and the current transmission mode between the batteries;

[0098] Based on the battery charge and discharge parameters of each battery and the current transmission parameters between each battery, they are added to the three-dimensional structural model of the battery pack to obtain a battery pack simulation model of the battery pack.

[0099] Optionally, the generating module 220 is specifically configured to:

[0100] Splitting the battery pack specification information of the battery pack into operation specification information of each operation parameter type, and identifying, for each operation parameter type, operation range distribution information of the operation parameter type based on the operation specification information of the operation parameter type;

[0101] In the operating range distribution information of the operating parameter type, a sub-operating range belonging to the normal operating type is filtered, and the sub-operating range of the normal operating type is used as the normal operating range of the operating parameter type.

[0102] Optionally, the generating module 220 is specifically configured to:

[0103] Acquiring the operating logic of the battery pack and identifying normal operating data corresponding to each operating parameter type based on the normal operating range of each operating parameter type;

[0104] Based on the normal operation data corresponding to each operating parameter type, an initial normal operation strategy containing each operating parameter type is generated through a single variable strategy, and based on the operating logic of the battery pack, the initial normal operation strategy that conforms to the operating logic is screened among the initial normal operation strategies to obtain the normal operation strategies of the battery pack.

[0105] Optionally, the detection module 230 is specifically configured to:

[0106] Acquire actual operating data of the battery pack under each normal operating strategy, and identify operating deviation information of each normal operating strategy under each operating data type based on the actual operating data of each normal operating strategy and the simulated operating data of each normal operating strategy;

[0107] For each normal operation strategy, based on the operation deviation information of each operation data type of the normal operation strategy, the simulation loss information corresponding to the normal operation strategy is identified through the battery pack loss detection strategy.

[0108] Optionally, the screening module 240 is specifically configured to:

[0109] Based on the simulated loss information of each operating parameter type in each normal operating strategy, identifying the normal operating data of each operating parameter type and the associated information with the simulated loss;

[0110] Based on each piece of associated information, the simulation energy consumption screening strategy is used to generate each initial target normal operation strategy corresponding to the lowest simulated energy consumption, and based on each of the initial target normal operation strategies and the operating logic of the battery pack, the simulation loss screening strategy is used to screen the target normal operation strategy corresponding to the lowest simulated loss.

[0111] Each module in the above-mentioned battery pack normal energy saving system based on battery pack loss detection can be implemented in whole or in part through software, hardware, or a combination thereof. Each of the above modules can be embedded in or independent of the processor of the computer device in hardware form, or can be stored in the memory of the computer device in software form, so that the processor can call and execute the corresponding operations of each module.

[0112] 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 via a system bus. 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 normal energy saving method for a battery pack based on battery pack loss detection 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 covering the display screen, or a button, trackball or touchpad provided on the computer device housing, or an external keyboard, touchpad or mouse.

[0113] 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 shown in the figure, or combine certain components, or have a different component arrangement.

[0114] In one embodiment, a computer device is provided, comprising 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.

[0115] 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.

[0116] In one embodiment, a computer program product is provided, comprising a computer program, which implements the steps of any one of the methods of the first aspect when executed by a processor.

[0117] 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.

[0118] Those skilled in the art will understand that all or part of the processes in the above-mentioned embodiment methods can be implemented 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 memory, database or other media used in the embodiments provided in this application may include at least one of non-volatile and volatile memory. Non-volatile memory may 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 may include random access memory (RAM) or external cache memory, etc. By way of 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 the various embodiments provided herein may include at least one of a relational database and a non-relational database. Non-relational databases may include, but are not limited to, distributed databases based on blockchains. The processor involved in the various embodiments provided herein may be, but are not limited to, a general-purpose processor, a central processing unit, a graphics processing unit, a digital signal processor, a programmable logic unit, a data processing logic unit based on quantum computing, and the like.

[0119] The technical features of the above embodiments can 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.

[0120] The above-described embodiments merely represent several implementation methods of the present application. While the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the present application. It should be noted that a person of ordinary skill in the art may make various modifications and improvements without departing from the spirit of the present application, and these modifications and improvements fall within the scope of protection of the present application. Therefore, the scope of protection of the present application shall be determined by the appended claims.

Claims

1. A battery pack normal energy saving method based on battery pack loss detection, characterized in that: The method comprises: Acquiring battery pack structure data of a battery pack, a battery pack operation mode of the battery pack, and battery pack specification information of the battery pack, and constructing a battery pack simulation model of the battery pack based on the battery pack operation mode and the battery pack structure data; identifying, based on battery pack specification information of the battery pack, a normal operating range of each operating parameter type of the battery pack, and generating each normal operating strategy of the battery pack based on the normal operating range of each operating parameter type; Based on each of the normal operation strategies, simulating the simulated operation data of the battery pack under each normal operation strategy through a battery pack simulation model of the battery pack, and detecting the simulated loss information corresponding to each normal operation strategy through a battery pack loss detection strategy based on the actual operation data of the battery pack under each normal operation strategy and the simulated operation data of the battery pack under each normal operation strategy; Based on the simulation loss information corresponding to each normal operation strategy, the target normal operation strategy of the battery pack is screened.

2. The method according to claim 1, characterized in that The step of constructing a battery pack simulation model of the battery pack based on the battery pack operation mode and the battery pack structure data includes: identifying, based on the battery pack structure data, a three-dimensional battery structure of each battery of the battery pack and a battery connection relationship among the batteries of the battery pack, and constructing a three-dimensional structural model of the battery pack based on the three-dimensional battery structure of each battery and the battery connection relationship among the batteries; identifying, based on the operating mode of the battery pack, a battery charge and discharge mode of each battery and a current transmission mode between the batteries, and generating, through a model parameter generation program, battery charge and discharge parameters for each battery and current transmission parameters between the batteries based on the battery charge and discharge mode of each battery and the current transmission mode between the batteries; Based on the battery charge and discharge parameters of each battery and the current transmission parameters between each battery, they are added to the three-dimensional structural model of the battery pack to obtain a battery pack simulation model of the battery pack.

3. The method according to claim 1, characterized in that The identifying, based on the battery pack specification information of the battery pack, the normal operating range of each operating parameter type of the battery pack includes: Splitting the battery pack specification information of the battery pack into operation specification information of each operation parameter type, and identifying, for each operation parameter type, operation range distribution information of the operation parameter type based on the operation specification information of the operation parameter type; In the operating range distribution information of the operating parameter type, a sub-operating range belonging to the normal operating type is filtered, and the sub-operating range of the normal operating type is used as the normal operating range of the operating parameter type.

4. The method according to claim 1, wherein Generating each normal operation strategy of the battery pack based on the normal operation range of each operating parameter type includes: Acquiring the operating logic of the battery pack and identifying normal operating data corresponding to each operating parameter type based on the normal operating range of each operating parameter type; Based on the normal operation data corresponding to each operating parameter type, an initial normal operation strategy containing each operating parameter type is generated through a single variable strategy, and based on the operating logic of the battery pack, the initial normal operation strategy that conforms to the operating logic is screened among the initial normal operation strategies to obtain the normal operation strategies of the battery pack.

5. The method according to claim 4, characterized in that The detecting, based on the actual operation data of the battery pack in each normal operation strategy and the simulated operation data of the battery pack in each normal operation strategy, the simulated loss information corresponding to each normal operation strategy by using the battery pack loss detection strategy includes: Acquire actual operating data of the battery pack under each normal operating strategy, and identify operating deviation information of each normal operating strategy under each operating data type based on the actual operating data of each normal operating strategy and the simulated operating data of each normal operating strategy; For each normal operation strategy, based on the operation deviation information of each operation data type of the normal operation strategy, the simulation loss information corresponding to the normal operation strategy is identified through the battery pack loss detection strategy.

6. The method according to claim 4, characterized in that The screening of the target normal operation strategy of the battery pack based on the simulated loss information corresponding to each normal operation strategy includes: Based on the simulated loss information of each operating parameter type in each normal operating strategy, identifying the normal operating data of each operating parameter type and the associated information with the simulated loss; Based on each piece of associated information, the simulation energy consumption screening strategy is used to generate each initial target normal operation strategy corresponding to the lowest simulated energy consumption, and based on each of the initial target normal operation strategies and the operating logic of the battery pack, the simulation loss screening strategy is used to screen the target normal operation strategy corresponding to the lowest simulated loss.

7. A battery pack normal energy saving system based on battery pack loss detection, characterized in that: The system comprises: an acquisition module, specifically configured to acquire battery pack structure data of a battery pack, a battery pack operation mode of the battery pack, and battery pack specification information of the battery pack, and construct a battery pack simulation model of the battery pack based on the battery pack operation mode and the battery pack structure data; a generating module, specifically configured to identify, based on battery pack specification information of the battery pack, a normal operating range of each operating parameter type of the battery pack, and generate each normal operating strategy of the battery pack based on the normal operating range of each operating parameter type; a detection module, configured to simulate, based on each of the normal operation strategies, the simulated operation data of the battery pack under each normal operation strategy using a battery pack simulation model of the battery pack, and detect, based on the actual operation data of the battery pack under each normal operation strategy and the simulated operation data of the battery pack under each normal operation strategy, the simulated loss information corresponding to each normal operation strategy using a battery pack loss detection strategy; The screening module is used to screen the target normal operation strategy of the battery pack based on the simulation loss information corresponding to each normal operation strategy.

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.

Images