A temperature sensor positioning method and device based on battery thermal simulation

Abstract

The application discloses a temperature sensor positioning method and device based on battery thermal simulation, terminal equipment and a storage medium. The method comprises the following steps: obtaining working condition data sets of each single battery cell in a target battery module; performing parameter identification on a preset initial thermal-electrochemical model based on the working condition data sets, so as to obtain a target thermal-electrochemical model of each single battery cell; performing simulation on the target thermal-electrochemical model, and calculating heat generation information of each single battery cell; calculating simulated temperature distribution information of each single battery cell according to structure information of the target battery module, heat dissipation information of an environment where the target battery module is located and the heat generation information; and determining position information of a temperature sensor in the target battery module according to battery cell position information, the simulated temperature distribution information and actual temperature distribution information. The application can accurately position the temperature sensor in the battery module, so as to monitor temperature changes of the battery cell and improve safety of the battery module.

Description

Technical Field

[0001] This invention relates to the field of energy storage technology, and in particular to a method, device, terminal equipment, and storage medium for locating temperature sensors based on battery thermal simulation. Background Technology

[0002] Energy storage power stations are an emerging energy storage technology with a wide range of applications, including balancing the load and power supply of power systems, addressing power system instability, and providing emergency backup power. However, during the operation of energy storage power stations, due to the chemical reactions and energy conversion processes within the batteries, overheating and thermal runaway may occur, potentially leading to serious safety accidents and equipment damage.

[0003] To address this issue, energy storage power stations typically install temperature sensors within the battery packs to monitor temperature changes in real time. However, due to cost considerations, current energy storage power stations do not equip each battery cell with a temperature sensor, and even the placement of these sensors is not standardized, varying between battery modules from different manufacturers. This presents challenges in monitoring battery temperature changes, impacting the safe operation of the energy storage power station. Summary of the Invention

[0004] To address the aforementioned technical problems, this invention provides a method, apparatus, terminal device, and storage medium for locating temperature sensors based on battery thermal simulation.

[0005] Specifically, the technical solution of the present invention is as follows:

[0006] This invention provides a method for locating a temperature sensor based on battery thermal simulation, comprising:

[0007] Obtain the operating condition dataset of each individual cell in the target battery module;

[0008] Based on the aforementioned operating condition dataset, parameter identification is performed on the preset initial thermo-electrochemical model to obtain the target thermo-electrochemical model for each individual cell.

[0009] The voltage and current in the operating condition dataset are input into the corresponding target thermo-electrochemical model for simulation, and the heat generation information of each individual cell is calculated.

[0010] Based on the structural information of the target battery module, the heat dissipation information of the environment in which the target battery module is located, and the heat generation information, the simulated temperature distribution information of each individual cell is calculated; the structural information includes the cell position information of each individual cell in the target battery module and the electrical topology of the target battery module;

[0011] Based on the cell location information, the simulated temperature distribution information, and the actual temperature distribution information collected by each temperature sensor in the target battery module, the sensor location information of the temperature sensor in the target battery module is determined.

[0012] In some embodiments, calculating the simulated temperature distribution information of each individual cell based on its cell location information in the target battery module, the heat dissipation information of the environment in which the target battery module is located, and the heat generation information includes:

[0013] A thermal model of the target battery module is established and solved according to the following formula to obtain the simulated temperature distribution information:

[0014]

[0015] Where ρ is density, C P Let T be the heat capacity, t be the temperature, and k be the time. x Let k be the thermal conductivity along the x-axis. y Let k be the thermal conductivity along the y-axis. z Let q be the thermal conductivity along the z-axis, and q be the heat generation rate of the heat source at each point.

[0016] In some embodiments, determining the position information of the temperature sensor in the target battery module based on the cell location information, the simulated temperature distribution information, and the actual temperature distribution information collected by each temperature sensor within the target battery module includes:

[0017] The simulated temperature distribution information and the actual temperature distribution information are compared and analyzed to calculate the correlation between the actual temperature distribution information collected by each temperature sensor and the simulated temperature distribution information of each individual cell.

[0018] If the correlation is within a preset range, a number of individual battery cells corresponding to the temperature sensor are determined based on the correlation.

[0019] Based on the cell position information of the plurality of individual battery cells corresponding to the temperature sensor, the position information of the temperature sensor in the target battery module is determined.

[0020] In some implementations, after determining the location information of the temperature sensor in the target battery module based on the cell location information, the simulated temperature distribution information, and the actual temperature distribution information collected by each temperature sensor in the target battery module, the process includes: acquiring the operating condition dataset again; and re-identifying the parameters of the initial thermo-electrochemical model based on the re-acquired operating condition dataset, and updating the target thermo-electrochemical model.

[0021] The present invention also provides a temperature sensor positioning device based on battery thermal simulation, comprising:

[0022] The acquisition module is used to acquire the operating condition dataset of each individual cell in the target battery module;

[0023] The identification module is used to identify the parameters of the preset initial thermo-electrochemical model based on the operating condition dataset, so as to obtain the target thermo-electrochemical model for each of the individual cells.

[0024] The first calculation module is used to input the voltage and current in the working condition dataset into the corresponding target thermo-electrochemical model for simulation, and calculate the heat generation information of each individual cell.

[0025] The second calculation module is used to calculate the simulated temperature distribution information of each individual cell based on the structural information of the target battery module, the heat dissipation information of the environment in which the target battery module is located, and the heat generation information; the structural information includes the cell position information of each individual cell in the target battery module and the electrical topology of the target battery module;

[0026] The determination module is used to determine the sensor position information of the temperature sensor in the target battery module based on the cell position information, the simulated temperature distribution information, and the actual temperature distribution information collected by each temperature sensor in the target battery module.

[0027] In some implementations, the first calculation module establishes a thermal model of the target battery module according to the following formula and solves the thermal model to obtain the simulated temperature distribution information:

[0028]

[0029] Where ρ is density, C P Let T be the heat capacity, t be the temperature, and k be the time. x Let k be the thermal conductivity along the x-axis. y Let k be the thermal conductivity along the y-axis. z Let q be the thermal conductivity along the z-axis, and q be the heat generation rate of the heat source at each point.

[0030] In some implementations, the determining module includes:

[0031] The analysis unit is used to compare and analyze the simulated temperature distribution information and the actual temperature distribution information, and calculate the correlation between the actual temperature distribution information collected by each temperature sensor and the simulated temperature distribution information of each individual cell.

[0032] The first determining unit is used to determine a plurality of individual battery cells corresponding to the temperature sensor based on the correlation.

[0033] The second determining unit is used to determine the position information of the temperature sensor in the target battery module based on the cell position information of the plurality of individual cells corresponding to the temperature sensor.

[0034] In some implementations, the acquisition module is further configured to acquire the operating condition dataset again; the identification module is further configured to re-identify the parameters of the initial thermo-electrochemical model based on the re-acquired operating condition dataset, and update the target thermo-electrochemical model.

[0035] The present invention also provides a terminal device, characterized in that it includes a processor, a memory, and a computer program stored in the memory and executable on the processor, wherein the processor is configured to execute the computer program stored in the memory to perform the operations performed by the temperature sensor positioning method based on battery thermal simulation as described in any of the preceding claims.

[0036] The present invention also provides a readable storage medium having a computer program stored thereon, characterized in that, when the computer program is executed by a processor, it implements the steps of the temperature sensor positioning method based on battery thermal simulation as described in any of the preceding claims.

[0037] Compared with the prior art, the present invention has at least one of the following beneficial effects:

[0038] (1) This invention calculates the heat generation information of each individual cell through a thermo-electrochemical model. Then, based on the structural information of the battery module and the environmental heat dissipation information, it obtains the simulated temperature distribution information of the individual cells through simulation. Combined with the actual temperature distribution information collected by the temperature sensor and the cell position information, it determines the relative position information of the temperature sensor in the battery module, so as to monitor the battery module in a timely and accurate manner, improve the safety and reliability of the battery module, and facilitate the safe operation of the energy storage power station.

[0039] (2) This invention uses the thermo-electrochemical model of a single cell and the thermal model of a battery module to predict and determine the location of the temperature sensor in the battery module, without the need to equip each cell in the battery module with a dedicated temperature sensor, effectively reducing costs and solving the problem of temperature monitoring difficulties in current energy storage power stations. It can be applied to various energy storage power stations, especially suitable for cost-sensitive occasions.

[0040] (3) The present invention takes into account the actual conditions such as cell aging, ambient temperature, and cell heat dissipation, and updates the thermo-electrochemical model of the cell, thereby updating the position of the temperature sensor and further improving the accuracy. Attached Figure Description

[0041] The preferred embodiments will now be described in a clear and easy-to-understand manner, in conjunction with the accompanying drawings, to further explain the above-mentioned characteristics, technical features, advantages, and implementation methods of the present invention.

[0042] Figure 1 This is a flowchart of an embodiment of the temperature sensor positioning method based on battery thermal simulation of the present invention;

[0043] Figure 2 This is a flowchart of another embodiment of the temperature sensor positioning method based on battery thermal simulation of the present invention.

[0044] Figure 3 This is a schematic diagram of an embodiment of the temperature sensor positioning device based on battery thermal simulation of the present invention.

[0045] Explanation of icon numbers:

[0046] Acquisition module 100, identification module 200, first calculation module 300, second calculation module 400, and determination module 500. Detailed Implementation

[0047] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the specific implementation methods of the present invention will be described below with reference to the accompanying drawings. Obviously, the drawings described below are merely some embodiments of the present invention. For those skilled in the art, other drawings and other implementation methods can be obtained based on these drawings without any creative effort.

[0048] To keep the drawings concise, each figure only schematically shows the parts relevant to the invention, and these do not represent the actual structure of the product. Furthermore, to facilitate understanding, in some figures, only one of components with the same structure or function is schematically depicted, or only one is labeled. In this document, "one" not only means "only one," but can also mean "more than one."

[0049] It should also be further understood that the term “and / or” as used in this application specification and the appended claims means any combination of one or more of the associated listed items and all possible combinations, and includes such combinations.

[0050] One embodiment of the present invention, such as Figure 1 As shown, a method for locating a temperature sensor based on battery thermal simulation includes the following steps:

[0051] S101 obtains the operating condition dataset of each individual cell in the target battery module.

[0052] Specifically, the target battery module is generally a lithium-ion battery, installed in an energy storage power station, and consists of several individual battery cells. The operating condition dataset includes data such as current, voltage, temperature, and time during cell operation, which can reflect the electrical characteristics and temperature changes of the battery cell.

[0053] Based on the operating condition dataset, S102 identifies the parameters of the preset initial thermo-electrochemical model to obtain the target thermo-electrochemical model for each individual cell.

[0054] Specifically, the thermo-electrochemical model refers to the electrochemical-thermal coupling model of lithium batteries, which is formed by coupling the relevant parameters of the electrochemical model and the thermal model. The electrochemical model is constructed based on the physicochemical reaction process inside the cell, while the thermal model is established based on the heat generation and dissipation processes of the battery.

[0055] The operating condition datasets of different battery cells are substituted into a pre-constructed initial thermo-electrochemical model. This initial thermo-electrochemical model includes multiple partial differential equations, each with several parameters, forming a parameter set. Due to individual differences in battery cells, the internal reaction processes of different cells also vary, and the heat dissipation capacity differs at different locations within the cell. Therefore, the thermo-electrochemical parameters of each cell are also different. Various identification algorithms in existing technologies can be used to obtain a set of thermo-electrochemical model parameters corresponding to each individual battery cell. These thermo-electrochemical model parameters are then substituted into the initial thermo-electrochemical model to finally obtain the target thermo-electrochemical model for each individual battery cell.

[0056] S103 inputs the voltage and current from the operating condition dataset into the corresponding target thermo-electrochemical model for simulation, and calculates the heat generation information of each individual cell.

[0057] Specifically, for the target thermo-electric model of the cell body in step S102, under the input voltage and current, the heat generation information of each cell in the module can be obtained through simulation, such as the heat generation and temperature change of the cell over a period of time.

[0058] S104 calculates the simulated temperature distribution information of each individual battery cell based on the structural information of the target battery module, the heat dissipation information of the environment in which the target battery module is located, and the heat generation information of the individual battery cells.

[0059] Specifically, the structural information of the target battery module includes two parts: one is the physical structure, that is, the cell location information of each individual cell in the module; the other is the electrical topology, that is, how each cell is connected by circuits.

[0060] S105 determines the sensor location information of the temperature sensor in the target battery module based on the cell location information, simulated temperature distribution information, and actual temperature distribution information collected by each temperature sensor in the target battery module.

[0061] Specifically, during the operation of an energy storage power station, the battery may experience overheating and thermal runaway due to chemical reactions and energy conversion processes. When the heat generated by the internal chemical reaction of a lithium battery exceeds its own heat dissipation, the internal temperature of the battery will gradually rise. When the critical temperature for thermal runaway is reached, the active materials inside the battery will decompose and generate a large amount of heat, further promoting a chain reaction, ultimately leading to thermal runaway, causing safety accidents or equipment damage.

[0062] To prevent battery thermal runaway, it is necessary to monitor the temperature changes of each cell within the battery module in a timely manner. Typically, several temperature sensors are installed in the battery module to collect cell temperatures in real time and monitor their changes. However, usually not every cell in the battery module is equipped with a temperature sensor. For example, a battery module may contain 20 cells, but only 6-7 temperature sensors, and the specific locations of these sensors within the battery module are unknown. Furthermore, the sensor locations may vary between different manufacturers and battery models. This makes battery temperature monitoring difficult, making it impossible to accurately determine which cell is malfunctioning. This solution addresses this by determining the position of each cell within the battery module. First, step S104 obtains the simulated temperature distribution information for each individual cell. Then, based on the actual temperature distribution information collected by each temperature sensor, it can be determined which cells each temperature sensor corresponds to, further enabling the determination of the temperature sensor's position relative to the battery module.

[0063] In this embodiment, the heat generation information of each individual battery cell is calculated using a thermo-electrochemical model. Then, based on the structural information of the battery module and environmental heat dissipation information, the simulated temperature distribution information of each individual battery cell is obtained through simulation. Combined with the actual temperature distribution information collected by temperature sensors, the relative position of the temperature sensors within the battery module is determined. This facilitates timely and accurate monitoring of the battery module, improving its safety and reliability, and contributing to the safe operation of the energy storage power station. This solution eliminates the need for a dedicated temperature sensor for each cell in the battery module and can determine the location of the temperature sensors, thus reducing costs, making it particularly suitable for cost-sensitive applications.

[0064] One embodiment of the present invention, such as Figure 2 As shown, a method for locating a temperature sensor based on battery thermal simulation includes the following steps:

[0065] S201 obtains the operating condition dataset of each individual cell in the target battery module.

[0066] Based on the operating condition dataset, S202 identifies the parameters of the preset initial thermo-electrochemical model to obtain the target thermo-electrochemical model for each individual cell.

[0067] S203 inputs the voltage and current from the operating condition dataset into the corresponding target thermo-electrochemical model for simulation, and calculates the heat generation information of each individual cell.

[0068] S204 calculates the simulated temperature distribution information of each individual battery cell based on the structural information of the target battery module, the heat dissipation information of the environment in which the target battery module is located, and the heat generation information of the individual battery cells.

[0069] Specifically, based on the structural information of the battery module and the heat dissipation information of the environment in which the battery module is located, a two-dimensional or three-dimensional thermal model of the battery module is established. For example, the thermal model of the target battery module is established and solved using the following formula:

[0070]

[0071] Where ρ is density, C P Let T be the heat capacity, t be the temperature, and k be the time. x Let k be the thermal conductivity along the x-axis. y Let k be the thermal conductivity along the y-axis. z Let q be the thermal conductivity along the z-axis, and q be the heat generation rate of the heat source at each point.

[0072] Next, a numerical solution method is selected to solve the above unsteady thermal model to obtain the simulated temperature distribution information of each individual cell.

[0073] S205 compares and analyzes the simulated temperature distribution information and the actual temperature distribution information, and calculates the correlation between the actual temperature distribution information collected by each temperature sensor and the simulated temperature distribution information of each individual cell.

[0074] Specifically, in a battery module, the number of temperature sensors is less than the number of battery cells. One temperature sensor needs to collect temperature data from several different battery cells, while step S204 calculates the simulated temperature distribution information for each battery cell. Therefore, the actual temperature distribution information collected by each temperature sensor is compared and analyzed with the simulated temperature distribution information calculated in step S204, and the correlation between the two is calculated. For example, by calculating the Pearson correlation coefficient between the simulated temperature distribution information and the actual temperature distribution information, as well as the Pearson correlation coefficient between the two data with respect to the reciprocal of time, the battery cells corresponding to the temperature sensor are determined.

[0075] If the correlation is within a preset range, S206 determines the number of individual battery cells corresponding to the temperature sensor based on the correlation.

[0076] S207 determines the position information of the temperature sensor in the target battery module based on the cell position information of several individual battery cells corresponding to the temperature sensor.

[0077] This embodiment refines the process of determining the location of the temperature sensor using simulated and actual temperature distribution information. By calculating the correlation between the simulated and actual temperature distribution information, battery cells with a high degree of matching with the temperature sensor are selected. Furthermore, since the location information of the battery cells in the battery module is known, the location information of the temperature sensor relative to the battery module is determined. This ensures accurate monitoring of the temperature changes of each battery cell in the battery module, avoiding phenomena such as cell overheating or thermal runaway, and improving the safety and reliability of the energy storage power station.

[0078] Based on any of the above embodiments, after determining the location information of the temperature sensor in the target battery module, the method further includes: acquiring the operating condition dataset again; and based on the acquired operating condition dataset, re-identifying the parameters of the initial thermo-electrochemical model and updating the target thermo-electrochemical model.

[0079] Specifically, due to battery aging, the electrochemical model parameters identified for each cell change, leading to changes in the final identified target thermo-electrochemical model. Furthermore, changes in ambient temperature will result in variations in the located sensor positions; and data acquired over a period of time may be quite similar, exhibiting high repetition. Additionally, within the battery module, cells in different locations, such as those at the center and those on the periphery, experience different heat dissipation conditions. To avoid these issues and ensure accurate sensor positioning, the target thermo-electrochemical model must be updated periodically, and the steps described in the above method embodiment must be repeated to determine the relative position of the sensor.

[0080] In this embodiment, the thermo-electrochemical model of the battery cell is repeatedly identified to improve the accuracy of the thermo-electrochemical model. As a result, the final sensor location information is closer and closer to the actual sensor placement location information, thus improving the accuracy of sensor positioning.

[0081] Based on the same technical concept, this invention provides a temperature sensor positioning device based on battery thermal simulation, such as... Figure 3 The system includes an acquisition module 100, an identification module 200, a first calculation module 300, a second calculation module 400, and a determination module 500, wherein:

[0082] The acquisition module 100 is used to acquire the operating condition dataset of each individual cell in the target battery module.

[0083] The identification module 200 is used to identify parameters of the preset initial thermo-electrochemical model based on the operating condition dataset, so as to obtain the target thermo-electrochemical model for each individual cell.

[0084] The first calculation module 300 is used to input the voltage and current in the operating condition dataset into the corresponding target thermo-electrochemical model for simulation, and to calculate the heat generation information of each individual cell.

[0085] The second calculation module 400 is used to calculate the simulated temperature distribution information of each individual cell based on the structural information of the target battery module, the heat dissipation information of the environment in which the target battery module is located, and the heat generation information. The structural information includes the cell position information of each individual cell in the target battery module and the electrical topology of the target battery module.

[0086] The determination module 500 is used to determine the sensor position information of the temperature sensor in the target battery module based on the cell position information, simulated temperature distribution information, and actual temperature distribution information collected by each temperature sensor in the target battery module.

[0087] In this embodiment, the heat generation information of each individual cell is calculated using a thermo-electrochemical model. Then, based on the structural information of the battery module and the environmental heat dissipation information, the simulated temperature distribution information of the individual cells is obtained through simulation. Combined with the actual temperature distribution information collected by the temperature sensor and the cell position information, the relative position information of the temperature sensor in the battery module is determined, so as to facilitate timely and accurate monitoring of the battery module, improve the safety and reliability of the battery module, and benefit the safe operation of the energy storage power station.

[0088] In one embodiment, the determining module 500 includes: an analysis unit 510, configured to compare and analyze simulated temperature distribution information and actual temperature distribution information, and calculate the correlation between the actual temperature distribution information collected by each temperature sensor and the simulated temperature distribution information of each individual battery cell; a first determining unit 520, configured to determine a plurality of individual battery cells corresponding to the temperature sensor based on the correlation; and a second determining unit 530, configured to determine the position information of the temperature sensor in the target battery module based on the cell position information of the plurality of individual battery cells corresponding to the temperature sensor.

[0089] In this embodiment, the correlation between the actual temperature distribution information and the simulated temperature distribution information is calculated by the analysis unit 510; the first determining unit 520 selects several cells corresponding to the temperature sensor from all cells based on the correlation; the second determining unit 530 further determines the position of the sensor in the target battery module based on the position of the cell corresponding to the sensor, thereby realizing the positioning of the temperature sensor.

[0090] In one embodiment, the first calculation module 300 establishes a thermal model of the target battery module according to the following formula and solves the thermal model to obtain the simulated temperature distribution information:

[0091]

[0092] Where ρ is density, C P Let T be the heat capacity, t be the temperature, and k be the time. x Let k be the thermal conductivity along the x-axis. y Let k be the thermal conductivity along the y-axis. z Let q be the thermal conductivity along the z-axis, and q be the heat generation rate of the heat source at each point.

[0093] Based on any of the above device embodiments, the acquisition module 100 is further configured to acquire the operating condition dataset again; the identification module is further configured to re-identify the parameters of the initial thermo-electrochemical model based on the re-acquired operating condition dataset and update the target thermo-electrochemical model. In this embodiment, the thermo-electrochemical model of the battery cell is repeatedly identified to improve the accuracy of the thermo-electrochemical model, thereby making the final sensor location information closer and closer to the actual sensor placement location information, thus improving the accuracy of sensor positioning.

[0094] It should be noted that the embodiments of the temperature sensor positioning device based on battery thermal simulation provided by this invention and the embodiments of the temperature sensor positioning method based on battery thermal simulation provided above are all based on the same inventive concept and can achieve the same technical effects. Therefore, other specific details of the embodiments of the temperature sensor positioning device based on battery thermal simulation can be referred to the description of the embodiments of the temperature sensor positioning method based on battery thermal simulation described above.

[0095] According to one embodiment of the present invention, a terminal device includes a processor and a memory, wherein the memory is used to store computer programs; the processor is used to execute the computer programs stored in the memory to implement the temperature sensor positioning method based on battery thermal simulation in the corresponding method embodiment described above.

[0096] The terminal device can be a desktop computer, laptop, PDA, tablet computer, mobile phone, human-computer interaction screen, etc. The terminal device may include, but is not limited to, a processor and memory. Those skilled in the art will understand that the above are merely examples of terminal devices and do not constitute a limitation on the terminal device. It may include more or fewer components than illustrated, or combine certain components, or different components. For example, the terminal device may also include input / output interfaces, display devices, network access devices, communication buses, communication interfaces, etc. The communication interface and communication bus may further include input / output interfaces, wherein the processor, memory, input / output interfaces, and communication interfaces communicate with each other through the communication bus. The memory stores a computer program, and the processor executes the computer program stored in the memory to implement the temperature sensor positioning method based on battery thermal simulation in the corresponding method embodiments described above.

[0097] The processor can be a Central Processing Unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor can be a microprocessor or any conventional processor.

[0098] The memory can be an internal storage unit of the terminal device, such as a hard drive or RAM. Alternatively, it can be an external storage device, such as a plug-in hard drive, SmartMediaCard (SMC), Secure Digital (SD) card, or FlashCard. Furthermore, the memory can include both internal and external storage units. The memory is used to store the computer program and other programs and data required by the terminal device. It can also be used to temporarily store data that has been output or will be output.

[0099] In one embodiment of the present invention, a storage medium stores at least one instruction, which is loaded and executed by a processor to perform the operations described in the corresponding embodiment of the temperature sensor positioning method based on battery thermal simulation. For example, the storage medium may be a read-only memory (ROM), random access memory (RAM), read-only optical disc (CD-ROM), magnetic tape, floppy disk, or optical data storage device, etc.

[0100] These can be implemented using computer-executable program code, thus allowing them to be stored in a storage device for execution by a computing device, or fabricated as separate integrated circuit modules, or multiple modules or steps can be fabricated as a single integrated circuit module. Therefore, this invention is not limited to any particular hardware and software combination.

[0101] Those skilled in the art will recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0102] It should be noted that the above embodiments can be freely combined as needed. The above are merely preferred embodiments of the present invention. It should be pointed out that for those skilled in the art, several improvements and modifications can be made without departing from the principle of the present invention, and these improvements and modifications should also be considered within the scope of protection of the present invention.

Claims

1. A method for locating a temperature sensor based on battery thermal simulation, characterized in that, include: Obtain the operating condition dataset of each individual cell in the target battery module; Based on the aforementioned operating condition dataset, parameter identification is performed on the preset initial thermo-electrochemical model to obtain the target thermo-electrochemical model for each individual cell. The voltage and current in the operating condition dataset are input into the corresponding target thermo-electrochemical model for simulation, and the heat generation information of each individual cell is calculated. Based on the structural information of the target battery module, the heat dissipation information of the environment in which the target battery module is located, and the heat generation information, the simulated temperature distribution information of each individual cell is calculated; the structural information includes the cell position information of each individual cell in the target battery module and the electrical topology of the target battery module; Based on the cell location information, the simulated temperature distribution information, and the actual temperature distribution information collected by each temperature sensor in the target battery module, the sensor location information of the temperature sensor in the target battery module is determined; The step of calculating the simulated temperature distribution information of each individual cell based on its structural information within the target battery module, the heat dissipation information of the environment in which the target battery module is located, and the heat generation information includes: The thermal model of the target battery module is established based on the following formula: ； in, For density, For heat capacity, For temperature, For time, Let be the thermal conductivity along the x-axis. Let be the thermal conductivity along the y-axis. Let q be the thermal conductivity along the z-axis, and q be the heat generation rate of the heat source at each point. Solve the thermal model to obtain the simulated temperature distribution information; The method of determining the position information of the temperature sensor in the target battery module based on the cell position information, the simulated temperature distribution information, and the actual temperature distribution information collected by each temperature sensor in the target battery module includes: The simulated temperature distribution information and the actual temperature distribution information are compared and analyzed to calculate the correlation between the actual temperature distribution information collected by each temperature sensor and the simulated temperature distribution information of each individual cell. If the correlation is within a preset range, a number of individual battery cells corresponding to the temperature sensor are determined based on the correlation. Based on the cell position information of the plurality of individual battery cells corresponding to the temperature sensor, the position information of the temperature sensor in the target battery module is determined.

2. The temperature sensor positioning method based on battery thermal simulation according to claim 1, characterized in that, After determining the location information of the temperature sensor in the target battery module based on the cell location information, the simulated temperature distribution information, and the actual temperature distribution information collected by each temperature sensor in the target battery module, the process includes: The operating condition dataset is acquired again; and based on the acquired operating condition dataset, the parameters of the initial thermo-electrochemical model are re-identified, and the target thermo-electrochemical model is updated.

3. A temperature sensor positioning device based on battery thermal simulation, characterized in that, include: The acquisition module is used to acquire the operating condition dataset of each individual cell in the target battery module; The identification module is used to identify the parameters of the preset initial thermo-electrochemical model based on the operating condition dataset, so as to obtain the target thermo-electrochemical model for each of the individual cells. The first calculation module is used to input the voltage and current in the working condition dataset into the corresponding target thermo-electrochemical model for simulation, and calculate the heat generation information of each individual cell. The second calculation module is used to calculate the simulated temperature distribution information of each individual cell based on the structural information of the target battery module, the heat dissipation information of the environment in which the target battery module is located, and the heat generation information; the structural information includes the cell position information of each individual cell in the target battery module and the electrical topology of the target battery module; The determination module is used to determine the sensor position information of the temperature sensor in the target battery module based on the cell position information, the simulated temperature distribution information, and the actual temperature distribution information collected by each temperature sensor in the target battery module; The first calculation module establishes a thermal model of the target battery module according to the following formula and solves the thermal model to obtain the simulated temperature distribution information: ； in, For density, For heat capacity, For temperature, For time, Let be the thermal conductivity along the x-axis. Let be the thermal conductivity along the y-axis. Let q be the thermal conductivity along the z-axis, and q be the heat generation rate of the heat source at each point. The determining module includes: The analysis unit is used to compare and analyze the simulated temperature distribution information and the actual temperature distribution information, and calculate the correlation between the actual temperature distribution information collected by each temperature sensor and the simulated temperature distribution information of each individual cell. The first determining unit is used to determine a plurality of individual battery cells corresponding to the temperature sensor based on the correlation. The second determining unit is used to determine the position information of the temperature sensor in the target battery module based on the cell position information of the plurality of individual cells corresponding to the temperature sensor.

4. The temperature sensor positioning device based on battery thermal simulation according to claim 3, characterized in that, The acquisition module is also used to acquire the working condition dataset again; The identification module is also used to re-identify the parameters of the initial thermo-electrochemical model based on the re-acquired operating condition dataset, and update the target thermo-electrochemical model.

5. A terminal device, characterized in that, It includes a processor, a memory, and a computer program stored in the memory and running on the processor, wherein the processor is configured to execute the computer program stored in the memory to perform the operations performed by the temperature sensor positioning method based on battery thermal simulation as described in claim 1 or 2.

6. A readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the steps of the temperature sensor positioning method based on battery thermal simulation as described in claim 1 or 2.

Images