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

Abstract

The invention provides a battery pack normal state energy saving method and system based on battery pack loss detection, and the method comprises the steps: obtaining battery pack structure data, a battery pack operation mode and battery pack specification information of a battery pack, and constructing a battery pack simulation model of the battery pack; identifying a normal operation range of each operation parameter type of the battery pack, and generating each normal operation strategy of the battery pack; and based on each normal operation strategy, simulating simulation operation data of the battery pack in each normal operation strategy through a battery pack simulation model of the battery pack, and based on the actual operation data and the simulation operation data of the battery pack in each normal operation strategy, detecting the loss of the battery pack through a battery pack loss detection strategy. And detecting simulation loss information corresponding to each normal operation strategy so as to screen a target normal operation strategy of the battery pack. By adopting the scheme, the energy-saving effect of the battery pack in a normal running state can be improved.

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] With the continuous optimization of battery technology, how to improve the energy-saving effect of batteries, reduce battery loss, and effectively delay battery aging is the research focus of battery technology. In particular, battery packs involve high-frequency, high-voltage, and high-current charging and discharging processes, which make the battery packs lose a lot of energy. Through the energy-saving optimization of battery packs, the charging and discharging frequency and charging and discharging voltage of battery packs can be effectively reduced, thereby effectively improving the service life of battery packs. Therefore, how to improve the normal energy-saving optimization effect of battery packs is the current research focus.

[0003] The traditional way to optimize the energy saving effect of battery packs is to manually control the charging and discharging methods of the battery packs, and to save energy through the energy saving mode of the battery packs when the battery packs are in use. However, manual control and energy saving mode will make the actual operating state of the battery packs worse, resulting in poor energy saving effect of the battery packs under normal operating conditions. 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 under normal operating conditions.

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

[0006] 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;

[0007] Based on the battery pack specification information of the battery pack, identifying the normal operation range of each operation parameter type 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;

[0008] Based on each of the normal operation strategies, the simulation operation data of the battery pack in each normal operation strategy is simulated through the battery pack simulation model of the battery pack, 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 simulation loss information corresponding to each normal operation strategy is detected through the battery pack loss detection 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] Based on the battery pack structure data, 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, 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;

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

[0013] Based on the battery charging and discharging parameters of each of the batteries and the current transmission parameters between the batteries, 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 the normal operation range of each type of operation parameter 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 for each operation parameter type, identifying operation range distribution information of the operation parameter type based on the operation specification information of the operation parameter type;

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

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

[0018] Acquire the operation logic of the battery pack, and identify each normal operation data corresponding to each operation parameter type based on the normal operation range of each operation parameter type;

[0019] Based on the normal operation data corresponding to each operating parameter type, an initial normal operation strategy including 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 meets the operating logic is screened among the initial normal operation strategies to obtain the normal operation strategies of the battery pack.

[0020] Optionally, 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, detecting the simulated loss information corresponding to each normal operation strategy through a battery pack loss detection strategy includes:

[0021] Acquire actual operation data of the battery pack in each normal operation strategy, and identify operation deviation information of each normal operation strategy in each operation data type based on the actual operation data of each normal operation strategy and the simulated operation data of each normal operation 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 a battery pack loss detection strategy.

[0023] Optionally, 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:

[0024] Based on the simulated loss information of each operating parameter type in each normal operating strategy, identify 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 purpose, the present invention also 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 comprises:

[0027] an acquisition module, specifically used 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 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 generate each normal operation strategy of the battery pack based on the normal operation range of each operation parameter type;

[0029] A detection module, configured to simulate the simulation operation data of the battery pack under each normal operation strategy through a battery pack simulation model of the battery pack based on each normal operation strategy, and detect the simulation 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 simulation operation data of the battery pack under each normal operation 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 used to:

[0032] Based on the battery pack structure data, 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, 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;

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

[0034] Based on the battery charging and discharging parameters of each of the batteries and the current transmission parameters between the batteries, 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 used for:

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

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

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

[0039] Acquire the operation logic of the battery pack, and identify each normal operation data corresponding to each operation parameter type based on the normal operation range of each operation parameter type;

[0040] Based on the normal operation data corresponding to each operating parameter type, an initial normal operation strategy including 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 meets 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 used to:

[0042] Acquire actual operation data of the battery pack in each normal operation strategy, and identify operation deviation information of each normal operation strategy in each operation data type based on the actual operation data of each normal operation strategy and the simulated operation data of each normal operation 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 a 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, identify 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, 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.

[0048] 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.

[0049] 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.

[0050] The present invention provides a normal energy-saving method and system for a battery pack based on battery pack loss detection, the method comprising: 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 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; based on each normal operation strategy, simulating the simulation operation data of the battery pack at each normal operation strategy through the battery pack simulation model of the battery pack, 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 generates a normal operation strategy of the battery pack by arranging and combining the normal operation data of each normal operation range of each operating parameter type through the battery pack modeling method, and then generates the simulated operation data of the battery pack in each normal operation strategy through the model simulation method. After that, the terminal identifies the simulated loss information corresponding to each normal operation strategy through the actual operation data of each normal operation strategy and the simulated operation data of each normal operation strategy, so as to select 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 battery pack loss and better energy saving effect is selected from the two perspectives of battery pack energy saving and battery pack loss. So that under the condition of 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 selected from the perspective of battery pack loss as the optimal normal operation strategy of the battery pack, avoiding the problem 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. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] 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.

[0052] Figure 1 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 It is a structural schematic 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 An internal structure diagram of a computer device provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0055] The normal energy saving method for a battery pack based on battery pack loss detection provided in an embodiment of the present invention is applied to a normal energy saving system for a battery pack based on battery pack loss detection. Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those generally understood by technicians in the technical field of the present 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 the present application; the terms "including" and "having" in the specification and claims of the present 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 the present application or the above-mentioned figures are used to distinguish different objects, not to describe a specific order.

[0056] 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.

[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 embodiment of the present application can be applied to the application environment of dietary control. Among them, the method can be applied to the terminal, can also be applied to the server, can also be applied to the system including the terminal and the server, and is realized through the interaction between the terminal and the server. Among them, the terminal can be, but not limited to, various personal computers, laptops, smart phones, tablet computers, etc. Among them, the terminal generates a normal operation strategy of the battery pack in the normal operation range of each operating parameter type by modeling the battery pack, and then generates the simulation operation data of the battery pack in each normal operation strategy by model simulation. After that, the terminal identifies the simulation loss information corresponding to each normal operation strategy through the actual operation data of each normal operation strategy and the simulation operation data of each normal operation strategy, so as to screen the target normal operation strategy of the battery pack. Among them, the simulation loss information includes simulation energy consumption loss information and simulation battery pack loss information, so that in the normal energy saving process of the battery pack, the normal operation strategy with less battery pack loss and better energy saving effect is screened 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 the normal operating state 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 the normal operating state.

[0059] In one embodiment, Figure 1 As shown, a normal energy saving method for a battery pack based on battery pack loss detection is provided, and the method is applied to a terminal as an example for explanation, including the following steps:

[0060] Step S101 , obtaining 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.

[0061] In this embodiment, the terminal uses a three-dimensional scanning device to perform structural scanning on the external structure of each battery in the battery pack and the internal structure of the battery to obtain the three-dimensional structure of each battery. Then, the terminal 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. Then, the terminal 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. Among them, 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. Among them, 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 , based on the battery pack specification information of the battery pack, identifying the normal operation range of each operation parameter type 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 operation 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 operation strategy of the battery pack based on the normal operation range of each operating parameter type. Among them, the various operating parameter types of the battery pack include, but are not limited to, various operating parameter types such as battery charging frequency type, battery discharging frequency type, current charging voltage type, current discharging voltage type, current charging current type, and current discharging type. Among them, each operating parameter type corresponds to an operating range, and the operating range 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 screens the sub-operating range corresponding to the normal operating state as the normal operating range, and generates a normal operation strategy corresponding to the normal operation data containing each operating parameter type through the principle of the single variable method. The specific generation process will be described in detail later.

[0064] Step S103, based on each normal operation strategy, simulate the simulation operation data of the battery pack in each normal operation strategy through the battery pack simulation model of the battery pack, 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, detect the simulation loss information corresponding to each normal operation strategy through the battery pack loss detection strategy.

[0065] In this embodiment, the terminal simulates the simulation operation data of the battery pack in each normal operation strategy through the battery pack simulation model of the battery pack, and detects 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 in each normal operation strategy and the simulation operation data of the battery pack in each normal operation strategy. Among them, the simulation operation data of each normal operation strategy is to obtain the simulation log information after the simulation operation is performed through the preset operation time, operation mode, and operation condition. Among them, the operation time, operation mode, and operation condition are data preset in the terminal by the staff. Through the operation data after long-term, repeated charge and discharge operation, and the simulation operation data after long-term, repeated charge and discharge operation, the battery loss information and power consumption loss information of the battery pack under different normal operation strategy conditions can be identified. Among them, the battery loss information can be represented by the change value of the maximum capacity of the battery, the change value of the battery discharge rate, and the change value of the battery charging rate. The specific detection process of the simulation loss information will be described in detail later.

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

[0067] In this embodiment, the terminal screens the target normal operation strategy of the battery pack based on the simulated loss information corresponding to each normal operation strategy. The screened target normal operation strategy is the minimum battery loss information of the battery pack under normal conditions obtained by combining the types of operation parameters, 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 select 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 battery pack loss and better energy saving effect can be selected from the two perspectives of battery pack energy saving and battery pack loss. Under the condition that the battery pack can operate normally and the actual operating state is normal, the normal operation strategy of the battery pack under the normal operation state is selected from the perspective of battery pack loss as the optimal normal operation strategy of the battery pack, avoiding the problem 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 under 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: based on the battery pack structure data, 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, 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; based on the battery pack operation mode, identifying the battery charging and discharging mode of each battery and the current transmission mode between each battery, and based on the battery charging and discharging mode of each battery and the current transmission mode between each battery, 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 parameters of each battery and the current transmission parameters between each battery, adding them to the three-dimensional structural model of the battery pack to obtain the battery pack simulation model of the battery pack.

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

[0071] The terminal identifies 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 generates the battery charging and discharging parameters of each battery and the 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. Among them, the model parameter generation program is a parameter conversion program corresponding to the COMSOL Multiphysics software. Finally, the terminal adds 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.

[0072] Based on the above scheme, by combining the battery pack operation mode and the 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 the operation specification information of each operation parameter type, and identifies the operation range distribution information of the operation parameter type based on the operation specification information of the operation parameter type for each operation parameter type. The operation specification information includes the operation range distribution information of each operation parameter type. Each operation range distribution information includes the sub-operation range corresponding to each operation state.

[0075] Then, the terminal screens the sub-operation range belonging to the normal operation type in 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 various normal operating data corresponding to each operating parameter type based on the normal operating range of each operating parameter type; based on the various normal operating data corresponding to each operating parameter type, an initial normal operating strategy including each operating parameter type is generated through a single variable strategy, and based on the operating logic of the battery pack, the initial normal operating strategy that meets the operating logic is screened from the initial normal operating strategies 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 identifies each normal operating data corresponding to each operating parameter type based on the normal operating range of each operating parameter type. The operating logic of the battery pack is the association information between different operating parameter types, and the association information represents the normal operating data range of other operating parameter types corresponding to the normal operating data range of each operating parameter type in accordance with the operating logic. For example, the corresponding relationship between the charging voltage range of the battery charging voltage type and the charging current range of the battery charging current type. Each normal operating data in each normal operating data range is the data interval of each operating parameter type preset by the staff, and the operating data corresponding to each data interval point in 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, selects the initial normal operation strategy that meets the operating logic from the initial normal operation strategy 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, a battery pack loss detection strategy is used to detect the simulated loss information corresponding to each normal operating strategy, including: obtaining the actual operating data of the battery pack under each normal operating strategy, and identifying the operating deviation information of each operating data type for each normal operating strategy 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 a battery pack loss detection strategy.

[0082] In this embodiment, the terminal obtains the actual operation data of the battery pack in each normal operation strategy, and identifies the operation deviation information of each normal operation strategy in each operation data type based on the actual operation data of each normal operation strategy and the simulated operation data of each normal operation strategy. Among them, the operation data includes the maximum capacity of the battery, the battery discharge rate, the battery charging rate, and the battery power consumption per unit time information. Among them, the unit time is the time period preset by the staff in the terminal. For example, 10 minutes, 20 minutes, 30 minutes, etc. The operation 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 information, etc.

[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 power consumption information per unit time. 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 power consumption information per unit time is multiplied by the weight value of the battery power consumption information per unit time 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 ​​of 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's 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 recognition accuracy and comprehensiveness of the simulated loss information corresponding to the normal operation strategy.

[0085] Optionally, based on the simulated loss information corresponding to each normal operation strategy, the target normal operation strategy of the battery pack is screened, including: based on the simulated 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 simulated loss; based on each associated information, generating each initial target normal operation strategy corresponding to the lowest simulated energy consumption through a simulated 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 a simulated loss screening strategy.

[0086] In this embodiment, the terminal identifies the normal operation data of each operating parameter type and the association information with the simulated loss based on the simulated loss information of each operating parameter type in each normal operation strategy. Among them, the association 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, and the simulated loss includes the battery loss information and the specific value of the battery power consumption change information. The terminal constructs a change distribution diagram of each operating parameter type based on each actual operation data and the discrete data of the simulated operation data, and fits the change distribution diagram of each operating parameter type through the curve fitting strategy corresponding to the least squares method to obtain the change distribution curve of 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 of each operating parameter type within the preset range. After that, the terminal generates each first normal operation strategy based on the lowest simulated power consumption range of each operating parameter type through the single variable method, and screens the second normal operation strategy that meets the operation logic in each first normal operation strategy through 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 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.

[0089] Based on the same inventive concept, the embodiment of the present application also provides a battery pack normal energy saving system based on battery pack loss detection for implementing the battery pack normal energy saving method based on battery pack loss detection 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 embodiments of the battery pack normal energy saving system based on battery pack loss detection provided below can refer to the limitations of the battery pack normal energy saving method based on battery pack loss detection above, and will not be repeated here.

[0090] Further references Figure 2 , as a response to the above Figure 1 The implementation of the method shown in the present application provides an embodiment of a battery pack normal energy saving system 200 based on battery pack loss detection, and 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] The acquisition module 210 is specifically used 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 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 generate each normal operation strategy of the battery pack based on the normal operation range of each operation parameter type;

[0093] A detection module 230 is used to simulate the simulation operation data of the battery pack in each normal operation strategy through the battery pack simulation model of the battery pack based on each normal operation strategy, and detect 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 in each normal operation strategy and the simulation operation data of the battery pack in each normal operation strategy;

[0094] The screening module 240 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.

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

[0096] Based on the battery pack structure data, 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, 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;

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

[0098] Based on the battery charging and discharging parameters of each of the batteries and the current transmission parameters between the batteries, 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 for each operation parameter type, identifying operation range distribution information of the operation parameter type based on the operation specification information of the operation parameter type;

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

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

[0103] Acquire the operation logic of the battery pack, and identify each normal operation data corresponding to each operation parameter type based on the normal operation range of each operation parameter type;

[0104] Based on the normal operation data corresponding to each operating parameter type, an initial normal operation strategy including 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 meets 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 operation data of the battery pack in each normal operation strategy, and identify operation deviation information of each normal operation strategy in each operation data type based on the actual operation data of each normal operation strategy and the simulated operation data of each normal operation 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 a battery pack loss detection strategy.

[0108] Optionally, the screening module 240 is specifically used for:

[0109] Based on the simulated loss information of each operating parameter type in each normal operating strategy, identify 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 by software, hardware and their combination. Each of the above-mentioned modules can be embedded in or independent of the processor in the computer device in the form of hardware, or can be stored in the memory of the computer device in the form of software, so that the processor can call and execute the corresponding operations of each of the above modules.

[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 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 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 covered on the display screen, or a button, trackball or touchpad set on the computer device housing, or an external keyboard, touchpad or mouse, etc.

[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 those shown in the figure, or combine certain components, or have a different arrangement of components.

[0114] 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.

[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, when executed by a processor, implements the steps of any one of the methods in the first aspect.

[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 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.

[0119] 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.

[0120] 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 normal energy saving method based on battery pack loss detection, characterized in that: The method comprises: 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; Based on the battery pack specification information of the battery pack, identifying the normal operation range of each operation parameter type 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; Based on each of the normal operation strategies, the simulation operation data of the battery pack in each normal operation strategy is simulated through the battery pack simulation model of the battery pack, 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 simulation loss information corresponding to each normal operation strategy is detected through the battery pack loss detection 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: Based on the battery pack structure data, 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, 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; Based on the battery pack operation mode, identifying the battery charge and discharge mode of each battery and the current transmission mode between each battery, and based on the battery charge and discharge mode of each battery and the current transmission mode between each battery, generating the battery charge and discharge parameters of each battery and the current transmission parameters between each battery through a model parameter generation program; Based on the battery charging and discharging parameters of each of the batteries and the current transmission parameters between the batteries, 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 the normal operation range of each type of operation parameter of the battery pack based on the battery pack specification information 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 for each operation parameter type, identifying operation range distribution information of the operation parameter type based on the operation specification information of the operation parameter type; In the operation range distribution information of the operation parameter type, a sub-operation range belonging to the normal operation type is screened, and the sub-operation range of the normal operation type is used as the normal operation range of the operation parameter type.

4. The method according to claim 1, characterized in that: The generating of each normal operation strategy of the battery pack based on the normal operation range of each type of operation parameter includes: Acquire the operation logic of the battery pack, and identify each normal operation data corresponding to each operation parameter type based on the normal operation range of each operation parameter type; Based on the normal operation data corresponding to each operating parameter type, an initial normal operation strategy including 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 meets 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 method of 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 in each normal operation strategy and the simulated operation data of the battery pack in each normal operation strategy includes: Acquire actual operation data of the battery pack in each normal operation strategy, and identify operation deviation information of each normal operation strategy in each operation data type based on the actual operation data of each normal operation strategy and the simulated operation data of each normal operation 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 a battery pack loss detection strategy.

6. The method according to claim 4, characterized in that The step of screening 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, identify 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 used 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 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 generate each normal operation strategy of the battery pack based on the normal operation range of each operation parameter type; A detection module, configured to simulate the simulation operation data of the battery pack under each normal operation strategy through a battery pack simulation model of the battery pack based on each normal operation strategy, and detect the simulation 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 simulation operation data of the battery pack under each normal operation 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.

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