Battery cooling demand simulation method, device and equipment and storage medium

Abstract

The invention provides a battery cooling demand simulation method and device, equipment and a storage medium, and the method comprises the steps: obtaining an original battery system model of a battery system; adjusting capacity parameters in the original battery system model to obtain an optimized battery system model; performing simulation calculation on the optimized battery system model to obtain battery characteristic data of the battery system; constructing a battery fast charging model based on the battery characteristic data; determining battery heat production of the battery system based on the battery fast charging model; and performing simulation calculation on the cooling demand power of the battery system based on the battery heat production of the battery system. By adopting the method, the pertinence and effectiveness of the obtained battery system cooling standard are ensured, and meanwhile, the effect after the battery system cooling treatment based on the obtained battery cooling requirement is improved.

Description

Technical Field

[0001] The present invention relates to the field of computer technology, and in particular to a battery cooling demand simulation method, device, equipment and storage medium. Background Art

[0002] A battery is a device that stores and converts energy. Its main function is to provide electrical energy. It is widely used in various electronic devices, such as mobile phones, computers, flashlights, remote controls, etc. It can provide the required power for various electronic devices to work normally. From household appliances to transportation, from industrial equipment to medical equipment, all are inseparable from the drive of batteries.

[0003] However, the batteries in the battery system will generate heat during operation. If the heat cannot be effectively dissipated and the battery system cannot be cooled in time, it may cause the battery performance to decline, shorten the life, and even cause safety problems. In order to solve the above problems, the prior art usually adopts a unified cooling standard to cool the battery system, that is, all types of battery systems are cooled with the same cooling demand power.

[0004] However, the study found that due to the different battery characteristics of various battery systems, if a unified cooling standard is used to cool various battery systems, it may lead to poor cooling effects on some battery systems, causing these batteries to still have quality and safety problems such as performance degradation and shortened life. It is difficult to achieve the pertinence and effectiveness of the battery system cooling standards, and it is impossible to guarantee the effectiveness of the battery system cooling treatment. Summary of the invention

[0005] In view of this, the object of the present invention is to provide a battery cooling demand simulation method, device, equipment and storage medium to improve the pertinence and effectiveness of the obtained battery system cooling standard, while improving the effect of battery system cooling processing based on the obtained battery cooling demand.

[0006] In a first aspect, an embodiment of the present application provides a battery cooling demand simulation method, the method comprising:

[0007] Obtain an original battery system model of the battery system;

[0008] Adjusting the capacity parameters in the original battery system model to obtain an optimized battery system model;

[0009] Performing simulation calculation on the optimized battery system model to obtain battery characteristic data of the battery system;

[0010] Building a battery fast charging model based on the battery characteristic data;

[0011] Determining battery heat generation of the battery system based on the battery fast charging model;

[0012] The cooling demand power of the battery system is simulated and calculated based on the heat generated by the batteries of the battery system.

[0013] Optionally, adjusting the capacity parameters in the original battery system model to obtain an optimized battery system model includes:

[0014] The rated capacity of the battery system in the original battery system model is increased or decreased by simulation software to obtain the optimized battery system model.

[0015] Optionally, the performing simulation calculation on the optimized battery system model to obtain battery characteristic data of the battery system includes:

[0016] The simulation software is run to perform simulation calculation on the optimized battery system model to confirm the battery characteristic data of the battery system under different working conditions, wherein the battery characteristic data includes battery temperature and battery remaining capacity.

[0017] Optionally, the battery fast charging model includes a charging model, a battery model and a heat transfer model; the charging model is used to input the battery charging power of the battery system into the battery model; the battery model is used to calculate the battery remaining capacity and battery heat generation of the battery system at each moment according to the battery charging power; the heat transfer model is used to calculate the battery temperature according to the battery remaining capacity and battery heat generation.

[0018] Optionally, determining the battery heat generation of the battery system based on the battery fast charging model includes:

[0019] Acquiring the battery charging power of the battery system through the charging model;

[0020] The battery charging power of the battery system is input into the battery model to obtain the battery heat generation of the battery system.

[0021] Optionally, the simulating calculation of the cooling demand power of the battery system based on the heat generated by the batteries of the battery system includes:

[0022] Determining a target fast charging time that the battery system needs to achieve;

[0023] The cooling power requirement of the battery system is determined according to the battery heat generation of the battery system and the target fast charging time.

[0024] Optionally, the method further comprises:

[0025] Build optimization algorithms;

[0026] Determining, based on the optimization algorithm, the minimum charging power required by the battery system under the target fast charging time;

[0027] Based on the optimized battery system model, it is verified whether the target fast charging time is met when the battery system is fast charged at the minimum charging power.

[0028] In a second aspect, an embodiment of the present application provides a battery cooling demand simulation device, the device comprising:

[0029] A battery system model acquisition module is used to acquire an original battery system model of the battery system;

[0030] A capacity parameter adjustment module, used to adjust the capacity parameters in the original battery system model to obtain an optimized battery system model;

[0031] A first simulation calculation module, used for performing simulation calculation on the optimized battery system model to obtain battery characteristic data of the battery system;

[0032] A battery fast charging model building module, used to build a battery fast charging model based on the battery characteristic data;

[0033] A battery heat generation calculation module, used to determine the battery heat generation of the battery system based on the battery fast charging model;

[0034] The second simulation calculation module is used to simulate and calculate the cooling power requirement of the battery system based on the heat generated by the batteries of the battery system.

[0035] Optionally, adjusting the capacity parameters in the original battery system model to obtain an optimized battery system model includes:

[0036] The rated capacity of the battery system in the original battery system model is increased or decreased by simulation software to obtain the optimized battery system model.

[0037] Optionally, the performing simulation calculation on the optimized battery system model to obtain battery characteristic data of the battery system includes:

[0038] The simulation software is run to perform simulation calculation on the optimized battery system model to confirm the battery characteristic data of the battery system under different working conditions, wherein the battery characteristic data includes battery temperature and battery remaining capacity.

[0039] Optionally, the battery fast charging model includes a charging model, a battery model and a heat transfer model; the charging model is used to input the battery charging power of the battery system into the battery model; the battery model is used to calculate the battery remaining capacity and battery heat generation of the battery system at each moment according to the battery charging power; the heat transfer model is used to calculate the battery temperature according to the battery remaining capacity and battery heat generation.

[0040] Optionally, determining the battery heat generation of the battery system based on the battery fast charging model includes:

[0041] Acquiring the battery charging power of the battery system through the charging model;

[0042] The battery charging power of the battery system is input into the battery model to obtain the battery heat generation of the battery system.

[0043] Optionally, the simulating calculation of the cooling demand power of the battery system based on the heat generated by the batteries of the battery system includes:

[0044] Determining a target fast charging time that the battery system needs to achieve;

[0045] The cooling power requirement of the battery system is determined according to the battery heat generation of the battery system and the target fast charging time.

[0046] Optionally, the device further comprises:

[0047] Algorithm model building module, used to build optimization algorithms;

[0048] A minimum charging power determination module, used to determine the minimum charging power required by the battery system under the target fast charging time based on the optimization algorithm;

[0049] A simulation verification module is used to verify whether the target fast charging time is met when the battery system is fast charged at the minimum charging power based on the optimized battery system model.

[0050] In a third aspect, an embodiment of the present application provides an electronic device, comprising: a processor, a memory and a bus, wherein the memory stores machine-readable instructions executable by the processor, and when the electronic device is running, the processor and the memory communicate through the bus, and when the machine-readable instructions are executed by the processor, the steps of the battery cooling requirement simulation method described in any optional implementation manner of the first aspect are performed.

[0051] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium having a computer program stored thereon, and when the computer program is executed by a processor, the steps of the battery cooling requirement simulation method described in any optional implementation manner in the first aspect above are executed.

[0052] The technical solution provided by this application includes but is not limited to the following beneficial effects:

[0053] This application can effectively simulate the heat generation and heat dissipation of the battery during operation, thereby supporting the design and optimization of the battery thermal management system. Specifically, through simulation, the cooling power that the cooling system needs to provide to the battery can be accurately calculated to support the detailed design of the cooling system. Moreover, the simulation can simulate the temperature distribution of the battery system under different working conditions, including different charging and discharging processes, which helps to predict the heat generation of the battery and guide the design and optimization of the cooling system. In addition, simulation can help evaluate the impact of different battery thermal management strategies on battery temperature, including the adjustment of parameters such as charging rate, discharge rate, and operating temperature, which helps to design a more effective battery thermal management system, extend battery life and improve performance. Moreover, through simulation, different design schemes can be evaluated and verified before actual manufacturing, thereby avoiding problems that may occur in the actual manufacturing process and saving costs and time. Finally, through simulation, the thermodynamic behavior of the battery system can be deeply analyzed, which helps to discover potential safety hazards and take corresponding measures to improve the safety and reliability of the battery system.

[0054] By adopting the above method, the original battery system model of the battery system is obtained; the capacity parameters in the original battery system model are adjusted to obtain the optimized battery system model; the optimized battery system model is simulated and calculated to obtain the battery characteristic data of the battery system; a battery fast charging model is constructed based on the battery characteristic data; the battery heat generation of the battery system is determined based on the battery fast charging model; the cooling demand power of the battery system is simulated and calculated based on the battery heat generation of the battery system; the pertinence and effectiveness of the obtained battery system cooling standard can be improved, while the effect of the battery system cooling treatment based on the obtained battery cooling demand can be improved, further helping to solve the problem of designing and optimizing the cooling system, and improving the performance, safety and reliability of the battery system.

[0055] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, preferred embodiments are given below and described in detail with reference to the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0056] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for use in the embodiments are briefly introduced below. It should be understood that the following drawings only show certain embodiments of the present invention and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without creative work.

[0057] Figure 1 A flow chart of a battery cooling requirement simulation method provided in the first embodiment of the present invention is shown;

[0058] Figure 2 A schematic structural diagram of a battery body heat transfer model provided in the first embodiment of the present invention is shown.

[0059] Figure 3 A schematic diagram of the structure of a battery fast charging model provided in the first embodiment of the present invention is shown;

[0060] Figure 4 A flow chart of a method for determining cooling demand power provided by the first embodiment of the present invention is shown;

[0061] Figure 5 A flowchart of a simulation verification method provided by Embodiment 1 of the present invention is shown;

[0062] Figure 6 A schematic diagram of the structure of a PI control adjustment model provided in the first embodiment of the present invention is shown;

[0063] Figure 7 A schematic diagram of the structure of a charging stop strategy model provided in the first embodiment of the present invention is shown;

[0064] Figure 8 A schematic diagram showing the structure of a battery cooling demand simulation device provided in the second embodiment of the present invention is shown;

[0065] Fig. 9 A schematic diagram of the structure of an electronic device provided in Embodiment 3 of the present invention is shown. DETAILED DESCRIPTION

[0066] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. The components of the embodiments of the present invention generally described and shown in the drawings here can be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present invention provided in the drawings is not intended to limit the scope of the claimed invention, but merely represents selected embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without making creative work belong to the scope of protection of the present invention.

[0067] Embodiment 1

[0068] To facilitate understanding of this application, Figure 1 The flowchart of a battery cooling requirement simulation method provided in the first embodiment of the present invention is shown to describe the contents of the first embodiment of the present application in detail.

[0069] See also Figure 1 As shown, Figure 1 A flowchart of a battery cooling demand simulation method provided in the first embodiment of the present invention is shown, wherein the method comprises steps S101 to S106:

[0070] S101: Acquire an original battery system model of the battery system.

[0071] Specifically, firstly, the original battery model and parameters of the battery system are obtained from a database or a third-party system, the parameters including capacity, internal resistance, OCV open circuit voltage, etc.

[0072] S102: adjusting the capacity parameters in the original battery system model to obtain an optimized battery system model.

[0073] Specifically, according to the available capacity of the battery system, the capacity parameters in the original battery system model are adjusted to the available capacity of the battery system to obtain the optimized battery system model.

[0074] S103: Perform simulation calculation on the optimized battery system model to obtain battery characteristic data of the battery system.

[0075] Specifically, after adjusting the capacity parameters, run the simulation software for simulation calculation. According to the new capacity parameters, calculate the battery system's temperature, SOC state of charge, charging power, capacity, internal resistance, OCV and other battery characteristic data under different working conditions. Analyze the simulation results to determine whether the system battery meets the requirements.

[0076] S104: Constructing a battery fast charging model based on the battery characteristic data.

[0077] Specifically, a battery fast charging model is established based on the acquired battery characteristic data. The battery fast charging model is a dynamic model based on the battery charging process, or describes the change of the battery charging rate over time.

[0078] S105: Determine battery heat generation of the battery system based on the battery fast charging model.

[0079] Specifically, calculating the battery cooling power requirement involves considering the battery's heat generation and heat transfer process, as well as the cooling system's heat absorption and discharge capabilities. Therefore, the battery fast charging model is used to calculate the heat generated by the battery in the battery system during operation.

[0080] S106: Simulating and calculating the cooling demand power of the battery system based on the heat generated by the batteries of the battery system.

[0081] Specifically, based on the heat generated by the battery system, the cooling heat transfer capacity of the battery system is evaluated according to the battery body heat transfer model, that is, the heat that the cooling system can absorb and discharge. Figure 2 As shown, Figure 2 The schematic diagram of the structure of a battery body heat transfer model provided by the first embodiment of the present invention is shown, wherein the battery body heat transfer model 1 includes Ct as the battery mass block 2, Φ as the battery heat source input port 3, and the cooling power input value is input into the battery body heat transfer model through the design parameters of the cooling system to cool the battery in the battery system, and the influence of different cooling powers on the battery fast charging time when the same environment heat exchange is performed is calculated to determine the cooling demand power. The cooling demand power algorithm in the simulation software is a built-in existing algorithm, k is the proportional coefficient, T is the battery temperature, S is the charge state, I is the current value, and P is the proportional control.

[0082] After simulating and calculating the cooling requirement power of the battery system based on the heat generated by the batteries of the battery system, the cooling system in the battery system may be controlled to cool the batteries with the calculated cooling requirement power of the battery system.

[0083] In an optional embodiment, the adjusting the capacity parameters in the original battery system model to obtain the optimized battery system model includes:

[0084] The rated capacity of the battery system in the original battery system model is increased or decreased by simulation software to obtain the optimized battery system model.

[0085] Specifically, adjusting the battery model capacity is a key operation in the early stage of battery cooling demand simulation. By changing the capacity parameters in the original battery system model to simulate the situation of batteries with different capacities, an optimized battery system model is obtained. Usually the capacity of the battery is in ampere-hours (Ah). The rated capacity of the battery can be increased or decreased to simulate the situation of batteries with different capacities. The capacity parameters can be modified directly in the battery model in the simulation software.

[0086] In an optional embodiment, the simulating and calculating the optimized battery system model to obtain the battery characteristic data of the battery system includes:

[0087] The simulation software is run to perform simulation calculation on the optimized battery system model to confirm the battery characteristic data of the battery system under different working conditions, wherein the battery characteristic data includes battery temperature and battery remaining capacity.

[0088] Specifically, the simulation calculation algorithm in the simulation software is a built-in existing algorithm. When the battery characteristic data needs to be determined, the simulation algorithm used in the simulation software to simulate and calculate the optimized battery system model to obtain the battery characteristic data of the battery system under different working conditions is selected to simulate and calculate the battery characteristic data of the battery system under different working conditions.

[0089] In an optional embodiment, the battery fast charging model includes a charging model, a battery model and a heat transfer model; the charging model is used to input the battery charging power of the battery system into the battery model; the battery model is used to calculate the battery remaining capacity and battery heat generation of the battery system at each moment according to the battery charging power; the heat transfer model is used to calculate the battery temperature according to the battery remaining capacity and battery heat generation.

[0090] For details, see Figure 3 As shown, Figure 3 The schematic diagram of the structure of a battery fast charging model provided by the first embodiment of the present invention is shown, wherein the battery fast charging model includes a charging model 4, a battery model 5 and a heat transfer model 6. The charging model inputs the battery charging power to the battery model, the battery model calculates the SOC of the battery at each moment and the heat generated by the battery and outputs it to the heat transfer model, and the heat transfer model calculates the battery temperature. In the figure, S is the SOC, T is the battery temperature, EV refers to the charging pile, and BAT refers to the battery.

[0091] In an alternative embodiment, see Figure 4 As shown, Figure 4 A flow chart of a method for determining cooling required power provided in the first embodiment of the present invention is shown, wherein the simulation calculation of the cooling required power of the battery system based on the battery heat generation of the battery system includes steps S401 to S402:

[0092] S401: Determine a target fast charging time that the battery system needs to achieve.

[0093] Specifically, the target fast charging time that the battery system needs to achieve is determined based on application requirements, market research or technical standards, usually in minutes.

[0094] S402: Determine the cooling power required for the battery system according to the battery heat generated by the battery system and the target fast charging time.

[0095] Specifically, the battery body heat transfer model is trained in advance, the battery heat generation and target fast charging time of the battery system are input into the battery body heat transfer model, and the cooling demand power required for the battery system to meet the target fast charging time when exchanging heat in the same environment is determined.

[0096] In an alternative embodiment, see Figure 5 As shown, Figure 5 A flowchart of a simulation verification method provided by the first embodiment of the present invention is shown, wherein the method further includes S301 to S303:

[0097] S501: construct an optimization algorithm.

[0098] S502: Determine the minimum charging power required by the battery system under the target fast charging time based on the optimization algorithm.

[0099] S503: Verifying whether the target fast charging time is met when the battery system is fast charged at the minimum charging power based on the optimized battery system model.

[0100] Specifically, an optimization algorithm is formulated to determine the minimum charging power required under a given target fast charging time. A numerical optimization method is used to perform PI regulation based on the battery temperature, SOC, and real-time voltage according to the PI control regulation model, where see Figure 6 As shown, Figure 6 The structure diagram of a PI control regulation model provided by the first embodiment of the present invention is shown. In the figure, SOC is the state of charge, PI is PI control, that is, proportional integral control, Max votage is the maximum voltage, Ubet is the current voltage of the battery cell, x is the target fast charging time, and f(x) is the minimum charging power required under the target fast charging time. The regulation formula of the PI control regulation model when performing PI control is as follows:

[0101] P=0.5*c_ele*(umax-umin)*n_ele;

[0102] I=0.5*c_ele*(umax-umin)*n_ele / 10;

[0103] Among them, P is the P adjustment coefficient of PI control, I is the I adjustment coefficient of PI control, umax is the maximum voltage limit of the battery cell, umin is the minimum voltage limit of the battery cell, n_ele is the number of batteries in series in the whole pack, and c_ele is the battery capacity.

[0104] In order to analyze the impact of battery charging power on charging time, the maximum value of the PI adjustment value is limited to different degrees, so as to determine the minimum charging power that meets the fast charging target, and convert the charging power into charging current. The formula is as follows:

[0105] Imax=max_charge_power_station / n_voltage;

[0106] Among them, Imax is the output current value, max_charge_power_station is the charging power, and n_voltage is the battery voltage.

[0107] According to the above formula, the output power is converted into output current, and the current value is output to (2) the battery model to simulate the fast charging process.

[0108] At the same time, constraints are set in the optimization algorithm to ensure that the minimum charging power obtained can meet the target fast charging time and does not exceed the safety limit and performance requirements of the battery. Then, the verification optimization algorithm in the optimized battery system model is used to verify whether the minimum charging power obtained meets the target fast charging time and meets the safety and performance requirements of the battery.

[0109] When performing simulation, it is very important to set appropriate stop conditions to ensure that the simulation can converge to the result in a reasonable time and avoid infinite loops or over-computation. The stop condition should be set according to the specific simulation problem and the algorithm used. In this application, the stop condition is triggered by the preset target value and the simulation running time according to the charging stop strategy model, see Figure 7 As shown, Figure 7 A structural schematic diagram of a charging stop strategy model provided in Embodiment 1 of the present invention is shown, wherein the simulation stop condition f(x) is based on the target fast charging SOC or the maximum time limit, and x is a variable in the stop condition, which is specifically described as follows. (1) Preset target value: Stop when the simulation reaches the preset target. For example, the battery stops charging when the battery SOC reaches the set target fast charging SOC. (2) Preset simulation running time: Set the maximum time limit for the simulation run. If the simulation running time exceeds the set time threshold, the simulation is stopped, even if the convergence condition or the target fast charging SOC has not yet been reached.

[0110] Embodiment 2

[0111] See also Figure 8 As shown, Figure 8 A schematic diagram of the structure of a battery cooling demand simulation device provided in the second embodiment of the present invention is shown, wherein the device comprises:

[0112] A battery system model acquisition module 801 is used to acquire an original battery system model of the battery system;

[0113] A capacity parameter adjustment module 802, configured to adjust the capacity parameters in the original battery system model to obtain an optimized battery system model;

[0114] A first simulation calculation module 803, used to perform simulation calculation on the optimized battery system model to obtain battery characteristic data of the battery system;

[0115] A battery fast charging model building module 804 is used to build a battery fast charging model based on the battery characteristic data;

[0116] A battery heat generation calculation module 805, used to determine the battery heat generation of the battery system based on the battery fast charging model;

[0117] The second simulation calculation module 806 is used to simulate and calculate the cooling power requirement of the battery system based on the heat generated by the batteries of the battery system.

[0118] In an optional embodiment, the adjusting the capacity parameters in the original battery system model to obtain the optimized battery system model includes:

[0119] The rated capacity of the battery system in the original battery system model is increased or decreased by simulation software to obtain the optimized battery system model.

[0120] In an optional embodiment, the simulating and calculating the optimized battery system model to obtain the battery characteristic data of the battery system includes:

[0121] The simulation software is run to perform simulation calculation on the optimized battery system model to confirm the battery characteristic data of the battery system under different working conditions, wherein the battery characteristic data includes battery temperature and battery remaining capacity.

[0122] In an optional embodiment, the battery fast charging model includes a charging model, a battery model and a heat transfer model; the charging model is used to input the battery charging power of the battery system into the battery model; the battery model is used to calculate the battery remaining capacity and battery heat generation of the battery system at each moment according to the battery charging power; the heat transfer model is used to calculate the battery temperature according to the battery remaining capacity and battery heat generation.

[0123] In an optional implementation, determining the battery heat generation of the battery system based on the battery fast charging model includes:

[0124] Acquiring the battery charging power of the battery system through the charging model;

[0125] The battery charging power of the battery system is input into the battery model to obtain the battery heat generation of the battery system.

[0126] In an optional embodiment, the simulation calculation of the cooling demand power of the battery system based on the heat generated by the battery of the battery system includes:

[0127] Determining a target fast charging time that the battery system needs to achieve;

[0128] The cooling power requirement of the battery system is determined according to the battery heat generation of the battery system and the target fast charging time.

[0129] In an optional embodiment, the device further comprises:

[0130] Algorithm model building module, used to build optimization algorithms;

[0131] A minimum charging power determination module, used to determine the minimum charging power required by the battery system under the target fast charging time based on the optimization algorithm;

[0132] A simulation verification module is used to verify whether the target fast charging time is met when the battery system is fast charged at the minimum charging power based on the optimized battery system model.

[0133] Embodiment 3

[0134] Based on the same application concept, see Fig. 9 As shown, Fig. 9 A schematic diagram of the structure of an electronic device provided in Embodiment 3 of the present invention is shown, wherein the electronic device 900 includes: at least one processor 901, at least one network interface 904 or other user interface 903, a memory 905, and at least one communication bus 902. The communication bus 902 is used to realize the connection and communication between these components. The electronic device 900 optionally includes a user interface 903, including a display (for example, a touch screen, LCD, CRT, holographic imaging (Holographic) or projection (Projector), etc.), a keyboard or a pointing device (for example, a mouse, a trackball (trackball), a touch pad or a touch screen, etc.).

[0135] The memory 905 may include a read-only memory and a random access memory, and provides instructions and data to the processor 901. A portion of the memory 905 may also include a non-volatile random access memory (NVRAM).

[0136] In some implementations, the memory 905 stores the following elements, executable modules or data structures, or a subset thereof, or an extended set thereof:

[0137] Operating system 9051, including various system programs for implementing various basic services and processing hardware-based tasks;

[0138] The application module 9052 includes various application programs, such as a launcher, a media player, a browser, etc., which are used to implement various application services.

[0139] In an embodiment of the present application, by calling the program or instructions stored in the memory 905, the processor 901 is used to execute steps in a battery cooling demand simulation method, which can ensure the pertinence and effectiveness of the obtained battery system cooling standard, while improving the effect of the battery system cooling processing based on the obtained battery cooling demand.

[0140] Embodiment 4

[0141] Based on the same application concept, an embodiment of the present application further provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the steps of the battery cooling requirement simulation method described in any one of the above embodiments are executed.

[0142] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working process of the system and device described above can refer to the corresponding process in the aforementioned method embodiment, and will not be repeated here.

[0143] The computer program product for simulating battery cooling requirements provided in an embodiment of the present invention includes a computer-readable storage medium storing program code. The instructions included in the program code can be used to execute the method described in the previous method embodiment. The specific implementation can be found in the method embodiment and will not be repeated here.

[0144] The battery cooling demand simulation device provided in the embodiment of the present invention can be specific hardware on the device or software or firmware installed on the device. The implementation principle and technical effects of the device provided in the embodiment of the present invention are the same as those of the aforementioned method embodiment. For the sake of brief description, for matters not mentioned in the device embodiment, reference can be made to the corresponding contents in the aforementioned method embodiment. Technical personnel in the relevant field can clearly understand that for the convenience and conciseness of description, the specific working processes of the systems, devices and units described above can all refer to the corresponding processes in the aforementioned method embodiment, and will not be repeated here.

[0145] In the embodiments provided by the present invention, it should be understood that the disclosed devices and methods can be implemented in other ways. The device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some communication interfaces, and the indirect coupling or communication connection of devices or units can be electrical, mechanical or other forms.

[0146] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0147] In addition, each functional unit in the embodiment provided by the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.

[0148] If the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium, including several instructions for enabling an electronic device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods described in each embodiment of the present invention. The aforementioned storage medium includes: various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk.

[0149] It should be noted that similar numbers and letters represent similar items in the following figures. Therefore, once an item is defined in one figure, it does not need to be further defined and explained in subsequent figures. In addition, the terms "first", "second", "third", etc. are only used to distinguish the description and are not to be understood as indicating or implying relative importance.

[0150] Finally, it should be noted that the above-described embodiments are only specific implementations of the present invention, which are used to illustrate the technical solutions of the present invention, rather than to limit them. The protection scope of the present invention is not limited thereto. Although the present invention is described in detail with reference to the above-described embodiments, those skilled in the art should understand that any person skilled in the art can still modify the technical solutions described in the above-described embodiments within the technical scope disclosed by the present invention, or can easily think of changes, or perform equivalent replacements on some of the technical features thereof; and these modifications, changes or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present invention. They should all be covered within the protection scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.

Claims

1. A battery cooling requirement simulation method, characterized in that: The method comprises: Obtain an original battery system model of the battery system; Adjusting the capacity parameters in the original battery system model to obtain an optimized battery system model; Performing simulation calculation on the optimized battery system model to obtain battery characteristic data of the battery system; Building a battery fast charging model based on the battery characteristic data; Determining battery heat generation of the battery system based on the battery fast charging model; The cooling demand power of the battery system is simulated and calculated based on the heat generated by the batteries of the battery system.

2. The method according to claim 1, characterized in that The step of adjusting the capacity parameters in the original battery system model to obtain an optimized battery system model includes: The rated capacity of the battery system in the original battery system model is increased or decreased by simulation software to obtain the optimized battery system model.

3. The method according to claim 1, characterized in that The step of simulating and calculating the optimized battery system model to obtain battery characteristic data of the battery system includes: The simulation software is run to perform simulation calculation on the optimized battery system model to confirm the battery characteristic data of the battery system under different working conditions, wherein the battery characteristic data includes battery temperature and battery remaining capacity.

4. The method according to claim 1, characterized in that The battery fast charging model includes a charging model, a battery model and a heat transfer model; the charging model is used to input the battery charging power of the battery system into the battery model; the battery model is used to calculate the battery remaining capacity and battery heat generation of the battery system at each moment according to the battery charging power; The heat transfer model is used to calculate the battery temperature according to the remaining capacity of the battery and the heat generated by the battery.

5. The method according to claim 4, characterized in that The determining the battery heat generation of the battery system based on the battery fast charging model includes: Acquiring the battery charging power of the battery system through the charging model; The battery charging power of the battery system is input into the battery model to obtain the battery heat generation of the battery system.

6. The method according to claim 1, characterized in that The simulating calculation of the cooling demand power of the battery system based on the heat generated by the battery of the battery system includes: Determining a target fast charging time that the battery system needs to achieve; The cooling power requirement of the battery system is determined according to the battery heat generation of the battery system and the target fast charging time.

7. The method according to claim 6, characterized in that The method further comprises: Build optimization algorithms; Determining, based on the optimization algorithm, the minimum charging power required by the battery system under the target fast charging time; Based on the optimized battery system model, it is verified whether the target fast charging time is met when the battery system is fast charged at the minimum charging power.

8. A battery cooling demand simulation device, characterized in that: The device comprises: A battery system model acquisition module is used to acquire an original battery system model of the battery system; A capacity parameter adjustment module, used to adjust the capacity parameters in the original battery system model to obtain an optimized battery system model; A first simulation calculation module, used for performing simulation calculation on the optimized battery system model to obtain battery characteristic data of the battery system; A battery fast charging model building module, used to build a battery fast charging model based on the battery characteristic data; A battery heat generation calculation module, used to determine the battery heat generation of the battery system based on the battery fast charging model; The second simulation calculation module is used to simulate and calculate the cooling power requirement of the battery system based on the heat generated by the batteries of the battery system.

9. An electronic device, characterized in that: include: A processor, a memory and a bus, wherein the memory stores machine-readable instructions executable by the processor, and when the electronic device is running, the processor and the memory communicate via the bus, and when the machine-readable instructions are executed by the processor, the steps of the battery cooling demand simulation method as described in any one of claims 1 to 7 are performed.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the battery cooling requirement simulation method according to any one of claims 1 to 7 are executed.

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