Energy storage cabinet cooling method, device and equipment based on liquid cooling and storage medium

Abstract

The invention provides an energy storage cabinet cooling method, device and equipment based on liquid cooling and a storage medium, and the method comprises the steps: detecting the temperature of any battery cell in an energy storage cabinet through a sensor corresponding to any battery cell, obtaining the detection temperature of any battery cell, obtaining an external parameter and an internal parameter of any battery cell, and correcting the detection temperature of any battery cell to obtain the corrected temperature of any battery cell, determining the target flow direction and the target flow velocity of the cooling liquid according to the preset working temperature and the corrected temperature of any battery cell, and transmitting the cooling liquid to any battery cell in the energy storage cabinet according to the target flow direction and the target flow velocity to cool the energy storage cabinet.

Description

Technical Field

[0001] The present invention relates to the technical field of energy storage, and particularly to a method, device, equipment, and storage medium for cooling an energy storage cabinet based on liquid cooling. Background Art

[0002] In current technical practices, the overall temperature detection method for energy storage cabinets is relatively common, but it cannot accurately reflect the actual temperature of each battery cell inside the cabinet. In fact, due to the differences in heat dissipation efficiency of the battery cells at different positions inside the energy storage cabinet, these battery cells may be under different temperature conditions, thereby affecting all battery cells to reach and maintain the optimal operating temperature.

[0003] In addition, although liquid cooling technology is widely used to regulate the temperature of energy storage cabinets to ensure their normal operation and safety, the traditional approach usually supplies coolant to each battery cell at a fixed flow rate. This method fails to take into account the actual temperature differences between each battery cell, and thus cannot achieve optimal temperature management.

[0004] Therefore, in view of the shortcomings of the existing technical solutions, the present invention provides a method for cooling an energy storage cabinet based on liquid cooling. Summary of the Invention

[0005] Based on this, it is necessary to provide a method, device, equipment, and storage medium for cooling an energy storage cabinet based on liquid cooling in view of the above technical problems.

[0006] On the one hand, a method for cooling an energy storage cabinet based on liquid cooling is provided. The method includes: detecting the temperature of any battery cell in the energy storage cabinet through a sensor corresponding to any battery cell to obtain the detected temperature of any battery cell, where the energy storage cabinet includes at least one battery cell; obtaining external parameters and internal parameters of any battery cell, and correcting the detected temperature of any battery cell to obtain the corrected temperature of any battery cell; determining the target flow direction and target flow rate of the coolant according to the preset operating temperature and the corrected temperature of any battery cell; and transmitting the coolant to any battery cell in the energy storage cabinet according to the target flow direction and target flow rate to cool the energy storage cabinet.

[0007] Optionally, when detecting the temperature of any battery cell in the energy storage cabinet through a sensor corresponding to any battery cell, the method further includes: installing a plurality of thermistors on the surface of any battery cell to generate a temperature measurement array; collecting and recording the temperature changes at each point in the temperature measurement array, drawing a temperature distribution map, and determining the area with the highest temperature of any battery cell; and obtaining the temperature of any battery cell through the sensor installed in the area with the highest temperature.

[0008] Optionally, obtaining external parameters and internal parameters of any battery cell, and correcting the detected temperature of any battery cell to obtain the corrected temperature of any battery cell, includes: obtaining the heat conduction delay time of the battery cell; establishing a heat conduction equation to calculate the temperature change rate of the battery cell; determining the first corrected temperature of the battery cell based on the detected temperature, heat conduction delay time, and temperature change rate through a prediction algorithm; and obtaining the corrected temperature according to the first corrected temperature.

[0009] Optionally, obtaining the corrected temperature according to the first corrected temperature includes: obtaining the external ambient temperature and the compensation coefficient corresponding to the external ambient temperature; and calculating the corrected temperature of the battery cell according to the external ambient temperature, compensation coefficient, and first corrected temperature.

[0010] Optionally, the method further includes: for any one of a plurality of different ambient temperature values, obtaining the temperature detection value and the actual temperature value of the battery cell during charging at the ambient temperature value; determining the compensation coefficient corresponding to the battery cell at the ambient temperature value according to the temperature detection value and the actual temperature value of the battery cell; and determining the corresponding relationship between different ambient temperature values and compensation coefficients according to the compensation coefficients of the battery cell at a plurality of different ambient temperature values.

[0011] Optionally, determining the target flow direction and target flow rate of the coolant according to the preset operating temperature and the corrected temperature of any battery cell includes: dividing the battery cells into a plurality of regions according to the corrected temperature of any battery cell, where at least one battery cell is included in one region; obtaining the battery cells in any region and calculating the average temperature and temperature difference of any region; determining the weight of any region according to the preset operating temperature, corrected temperature, average temperature, and temperature difference; and determining the target flow direction of the coolant according to the weight.

[0012] Optionally, determining the target flow direction and target flow rate of the coolant according to the preset operating temperature and the corrected temperature of any battery cell further includes: obtaining the heat generation power of any battery cell and the specific heat capacity of the coolant; determining the temperature difference of the coolant according to historical operation data; and establishing an energy balance equation to determine the flow rate of the coolant according to the heat generation power, specific heat capacity, and temperature difference.

[0013] On the other hand, a liquid-cooled energy storage cabinet cooling device is provided. The device includes: a collection module for detecting the temperature of any battery cell in the energy storage cabinet through a sensor corresponding to any battery cell to obtain the detected temperature of any battery cell, where at least one battery cell is included in the energy storage cabinet; a correction module for obtaining external parameters and internal parameters of any battery cell and correcting the detected temperature of any battery cell to obtain the corrected temperature of any battery cell; a calculation module for determining the target flow direction and target flow rate of the coolant according to the preset operating temperature and the corrected temperature of any battery cell; and a cooling module for transmitting the coolant to any battery cell in the energy storage cabinet according to the target flow direction and target flow rate to cool the energy storage cabinet.

[0014] In another aspect, a computer device is provided, including a memory, a processor, and a computer program stored on the memory and executable on the processor. When the processor executes the computer program, the following steps are implemented: Detect the temperature of any battery cell in the energy storage cabinet through a sensor corresponding to any battery cell, and obtain the detected temperature of any battery cell, where the energy storage cabinet includes at least one battery cell; Obtain external parameters and internal parameters of any battery cell, correct the detected temperature of any battery cell, and obtain the corrected temperature of any battery cell; Determine the target flow direction and target flow rate of the coolant according to the preset working temperature and the corrected temperature of any battery cell; According to the target flow direction and target flow rate, transmit the coolant to any battery cell in the energy storage cabinet to cool down the energy storage cabinet.

[0015] In yet another aspect, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the following steps are implemented: Detect the temperature of any battery cell in the energy storage cabinet through a sensor corresponding to any battery cell, and obtain the detected temperature of any battery cell, where the energy storage cabinet includes at least one battery cell; Obtain external parameters and internal parameters of any battery cell, correct the detected temperature of any battery cell, and obtain the corrected temperature of any battery cell; Determine the target flow direction and target flow rate of the coolant according to the preset working temperature and the corrected temperature of any battery cell; According to the target flow direction and target flow rate, transmit the coolant to any battery cell in the energy storage cabinet to cool down the energy storage cabinet.

[0016] The above-mentioned energy storage cabinet cooling method, device, equipment, and storage medium based on liquid cooling, the method includes: Detect the temperature of any battery cell in the energy storage cabinet through a sensor corresponding to any battery cell, and obtain the detected temperature of any battery cell, where the energy storage cabinet includes at least one battery cell; Obtain external parameters and internal parameters of any battery cell, correct the detected temperature of any battery cell, and obtain the corrected temperature of any battery cell; Determine the target flow direction and target flow rate of the coolant according to the preset working temperature and the corrected temperature of any battery cell; According to the target flow direction and target flow rate, transmit the coolant to any battery cell in the energy storage cabinet to cool down the energy storage cabinet; In this way, through more precise temperature control of the energy storage cabinet, the service life of the battery cells can be extended; By calculating different flow rates and flow directions of the coolant, the coolant can flow through the areas with higher temperatures more, so as to more effectively take away heat, ensure that the energy storage cabinet works within an ideal temperature range, avoid local overheating, and improve the stability and reliability of the energy storage cabinet. Description of the Drawings

[0017] Figure 1 It is a schematic flowchart of the energy storage cabinet cooling method based on liquid cooling in an embodiment;

[0018] Figure 2 It is a structural block diagram of the energy storage cabinet cooling device based on liquid cooling in an embodiment;

[0019] Figure 3 It is the internal structure diagram of a computer device in an embodiment. Detailed implementation manners

[0020] To make the objectives, technical solutions and advantages of this application clearer, the technical solutions in the embodiments of this application will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of this application. Obviously, the described embodiments are only a part rather than all of the embodiments of this application. All other embodiments obtained by those of ordinary skill in the art based on the embodiments in this application without creative efforts shall fall within the protection scope of this application.

[0021] It should be understood that in the description of this application, unless clearly required by the context, the words such as "including" and "comprising" throughout the specification should be interpreted in an inclusive sense rather than an exclusive or exhaustive sense; that is, it is the meaning of "including but not limited to".

[0022] It should also be understood that the terms "first", "second", etc. are only used for descriptive purposes and cannot be understood as indicating or implying relative importance. In addition, in the description of this application, unless otherwise specified, the meaning of "a plurality of" is two or more.

[0023] It should be noted that the terms "S1", "S2", etc. are only used for the purpose of describing steps, and do not particularly refer to the meaning of order or sequence, nor are they used to limit this application. They are only for the convenience of describing the method of this application and cannot be understood as indicating the sequence of steps. In addition, the technical solutions between various embodiments can be combined with each other, but it must be based on the ability of those of ordinary skill in the art to implement. When the combination of technical solutions is contradictory or cannot be implemented, it should be considered that such a combination of technical solutions does not exist and is not within the protection scope required by this application.

[0024] In one embodiment, as Figure 1 shown, a method for cooling an energy storage cabinet based on liquid cooling is provided, including the following steps:

[0025] S101: Detect the temperature of any battery cell in the energy storage cabinet through the sensor corresponding to any battery cell to obtain the detected temperature of any battery cell, where the energy storage cabinet includes at least one battery cell.

[0026] Here, the battery cell is the basic unit of the energy storage system, responsible for actual energy storage, and stores and releases electric energy through chemical reactions.

[0027] Here, the energy storage cabinet is an integrated large-scale energy storage solution for efficiently storing and releasing electrical energy. It is usually designed as an independent cabinet or container, with multiple battery cells, a battery management system, a thermal management system, electrical protection devices, and other auxiliary facilities integrated inside.

[0028] Here, the sensor can be a non-contact infrared sensor (such as MLX90614), a high-speed response contact sensor (such as a thin-film NTC thermistor), or a distributed fiber optic temperature sensor, etc.

[0029] Among them, the acquisition method can be contact measurement or non-contact measurement.

[0030] Among them, the sensor can be attached directly or installed in an embedded manner.

[0031] In one embodiment, an alarm threshold is set. When the temperature of the battery cell is detected to be greater than the alarm threshold, an alarm signal is generated.

[0032] In one embodiment, due to different working modes of the energy storage cabinet, there may be a situation where not all battery cells are working. At this time, the temperature of the working battery cells is collected.

[0033] S102: Obtain external parameters and internal parameters of any battery cell, correct the detected temperature of any battery cell to obtain the corrected temperature of any battery cell.

[0034] Here, the external parameters can be parameters such as ambient temperature, heat dissipation conditions, packaging materials and structures, external pressure and vibration, altitude, and humidity.

[0035] Here, the internal parameters can include chemical reaction rate, internal resistance, material properties, heat conduction delay time, battery cell structure design, and aging state, etc.

[0036] Here, the corrected temperature is the temperature of the battery cell after excluding external factors and internal factors.

[0037] S103: Determine the target flow direction and target flow rate of the coolant according to the preset working temperature and the corrected temperature of any battery cell.

[0038] Here, the preset working temperature is the temperature set by the user and can be adjusted according to user needs.

[0039] Here, the coolant is used to take away heat and maintain the working temperature within a safe and effective range. Exemplarily, the coolant can be liquids such as water, fluorinated liquid, ethylene glycol-based coolant, mixed solution, deionized water, etc.

[0040] Here, the flow direction refers to the direction and path in which the coolant starts flowing from a certain starting point of the system, passes through a series of paths or components, and then returns to the starting point or reaches a predetermined end point.

[0041] Here, the flow rate refers to the distance that the coolant flows through a pipe or other conduit per unit time.

[0042] S104: Transmit the coolant to any one of the battery cells in the energy storage cabinet according to the target flow direction and target flow rate to cool down the energy storage cabinet.

[0043] Among them, the coolant is transmitted through pipes. The coolant pipes are pre-laid in the energy storage cabinet, and valves are designed at the turning points of the pipes to control the direction of the coolant. The speed of the coolant is controlled by the percentage of the valve opening, so that the coolant in some areas reaches the target flow rate.

[0044] In one embodiment, the coolant pipes are laid through the easily heated areas of any one of the battery cells to effectively reduce the temperature of the battery cells.

[0045] Exemplarily, assume that it is necessary to cool down the target battery cell in the energy storage cabinet so that the target battery cell reaches the target temperature. According to the design layout of the coolant pipes, determine the path for the coolant to flow to the target battery cell, obtain the valves passed by the coolant flowing to the target battery cell, open all the valves that the target battery cell needs to pass through, determine the flow rate of the coolant according to the difference between the current temperature and the target temperature of the target battery cell, convert the flow rate into the percentage of the valve opening, and open any one of the valves according to the percentage so that the coolant flows to the target battery cell.

[0046] It should be noted that by calculating different flow rates and flow directions of the coolant, the present application can make the coolant flow through the areas with higher temperatures more, thereby more effectively taking away heat, ensuring that the energy storage cabinet operates within an ideal temperature range, avoiding local overheating, and improving the stability and reliability of the energy storage cabinet.

[0047] In some specific embodiments, the temperature of any one of the battery cells in the energy storage cabinet is detected through a sensor corresponding to any one of the battery cells. The method further includes:

[0048] Install a plurality of thermistors on the surface of any one of the battery cells to generate a temperature measurement array;

[0049] Collect and record the temperature changes at each point in the temperature measurement array, draw a corrected temperature map, and determine the area with the highest temperature of any one of the battery cells;

[0050] Obtain the temperature of any one of the battery cells through the sensor installed in the area with the highest temperature.

[0051] Here, the resistance value of the thermistor changes significantly with temperature. Thermistors are usually made of metal oxides, such as oxides of elements like manganese, nickel, cobalt, copper, or iron.

[0052] In this way, the heat concentration point during the charge and discharge of the battery cell can be determined, making the data collected by the sensor more accurate; at the same time, any battery cell in the energy storage cabinet can be accurately detected, enabling problems to be discovered early and measures to be taken to avoid accidents in the energy storage cabinet.

[0053] In some specific embodiments, obtaining external parameters and internal parameters of any battery cell, and correcting the detected temperature of any battery cell to obtain the corrected temperature of any battery cell, includes:

[0054] Obtaining the heat conduction delay time of the battery cell;

[0055] Establishing a heat conduction equation and calculating the temperature change rate of the battery cell;

[0056] Through a prediction algorithm, based on the detected temperature, heat conduction delay time, and temperature change rate, determining the first corrected temperature of the battery cell;

[0057] Obtaining the corrected temperature according to the first corrected temperature.

[0058] Here, the internal parameter is the heat conduction delay time, which represents the time interval from when the temperature of the battery cell changes to when the sensor can measure this change, and is determined by the battery material and structure. Since heat conduction from the inside to the surface of the battery cell and then to the sensor takes time, in a rapidly changing temperature environment, the temperature measured by the sensor may lag behind the actual temperature inside the battery cell.

[0059] Here, the first corrected temperature is the temperature that eliminates the influence of heat conduction delay on the detected temperature.

[0060] Here, the prediction algorithm is a mathematical method used to infer future trends or results based on historical data or the current state, and can include methods such as Kalman filtering, physics-informed neural networks, and machine learning prediction algorithms.

[0061] Here, the temperature change rate refers to the change in temperature within a certain time, and is a physical quantity that measures how fast the temperature changes over time.

[0062] Here, the heat conduction equation is a basic partial differential equation used to describe how heat changes and propagates in a medium over time and space, and the formula (1) is as follows:

[0063]

[0064] Where, is the temperature change rate; α is the thermal diffusivity, which reflects the heat conduction ability of the material; is the Laplace operator, representing the spatial distribution gradient of temperature, and Q is the heat source intensity, representing the heat generated per unit volume.

[0065] Here, the thermal conduction delay time of the battery cell is obtained through experimental measurement in advance.

[0066] Here, the relational formula (2) between the first temperature T2 and the detected temperature T1 is as follows:

[0067] T2 = T1(t - τ) (2)

[0068] Where τ is the thermal conduction delay time, T2 is the first temperature, and T1 is the detected temperature.

[0069] Here, the temperature is corrected through a prediction algorithm, and formula (3) is as follows:

[0070]

[0071] Where k1 is the correction coefficient.

[0072] Specifically, a suitable correction coefficient can be determined through experiments or simulations.

[0073] In this way, the influence of thermal conduction delay on the measurement data can be excluded.

[0074] In some specific embodiments, obtaining the corrected temperature according to the first corrected temperature includes:

[0075] Obtaining the external environmental temperature and the compensation coefficient corresponding to the external environmental temperature;

[0076] Calculating the corrected temperature of the battery cell according to the external environmental temperature, the compensation coefficient, and the first corrected temperature.

[0077] Here, the compensation coefficient describes the influence degree of the change in the external environmental temperature on the battery cell temperature. The compensation coefficients at different environmental temperatures are different, and the compensation coefficient can be obtained through experimental methods, simulation models, or theoretical calculations.

[0078] Here, the external parameter is the external environmental temperature.

[0079] Specifically, the battery cell temperature and the external environmental temperature are linearly related, and formula (4) is as follows:

[0080] T 校正 = T2 - k2(T 环境 - T 第一校正温度 ) (4)

[0081] Where k2 is the compensation coefficient, T 校正 is the corrected temperature, T 环境 is the external environmental temperature, and T 第一校正温度The temperature for excluding the influence of heat conduction delay time.

[0082] Specifically, a suitable compensation coefficient can be determined through experiments or simulations.

[0083] In this way, the influence of the external environmental temperature on the detection data is excluded, enabling the energy storage cabinet to better adapt to different working environments and improving the adaptability of the energy storage cabinet.

[0084] In some specific embodiments, the method further includes:

[0085] For any one of multiple different environmental temperature values, obtain the temperature detection value and the actual temperature value of the battery cell during charging at the environmental temperature value;

[0086] Based on the temperature detection value and the actual temperature value of the battery cell, determine the compensation coefficient corresponding to the battery cell at the environmental temperature value;

[0087] Based on the compensation coefficients of the battery cell at multiple different environmental temperature values, determine the corresponding relationship between different environmental temperature values and compensation coefficients.

[0088] Here, methods such as linear analysis and regression analysis can be used to determine the relationship between the battery cell temperature and the environmental temperature.

[0089] Specifically, conduct charge and discharge experiments on the battery cell at different environmental temperatures, record the internal temperature and environmental temperature of the battery cell, analyze the experimental data, obtain the trend of the battery cell temperature changing with the environmental temperature, and based on the analysis results, determine the compensation coefficient.

[0090] In some specific embodiments, determining the target flow direction and target flow rate of the coolant according to the preset working temperature and the calibrated temperature of any one battery cell includes:

[0091] According to the calibrated temperature of any one battery cell, divide the battery cells into multiple regions, where one region includes at least one battery cell;

[0092] Obtain the battery cells in any one region, and calculate the average temperature and temperature difference of any one region;

[0093] According to the preset working temperature, calibrated temperature, average temperature, and temperature difference, determine the weight of any one region;

[0094] According to the weight, determine the target flow direction of the coolant.

[0095] Here, the temperature difference refers to the temperature difference between the average temperature of the region and the preset working temperature.

[0096] Among them, the greater the temperature difference, the greater the weight of the region.

[0097] Here, the battery cells are divided into multiple regions. For the regions with higher temperatures, the coolant is preferentially guided to flow through; for the regions with lower temperatures, the flow of the coolant is reduced or suspended.

[0098] Specifically, obtain the corrected temperature of any one battery cell in a region, combine it with the number of battery cells in the region to obtain the average temperature of any one region, calculate the temperature difference between the average temperature and the preset operating temperature, determine the weight of any one region according to the magnitude of the temperature difference, and allocate the coolant according to the weight of the region to determine the flow direction of the coolant.

[0099] In some specific embodiments, according to the preset operating temperature and the corrected temperature of any one battery cell, determining the target flow direction and target flow rate of the coolant further includes:

[0100] Obtain the heat generation power of any one battery cell and the specific heat capacity of the coolant;

[0101] Determine the temperature difference of the coolant according to the historical operation data;

[0102] Establish an energy balance equation, and determine the flow rate of the coolant according to the heat generation power, specific heat capacity, and temperature difference.

[0103] Here, the heat generation power refers to the rate of heat generated by the battery cell during operation, which is mainly determined by the internal resistance of the battery cell and the Joule heat generated when the current passes through.

[0104] Here, the specific heat capacity refers to the amount of heat required for a unit mass of a substance to increase its temperature by 1 degree Celsius, which determines the degree of temperature change of the battery cell material when absorbing or releasing a certain amount of heat, and is mainly determined by the material composition of the battery cell.

[0105] Here, the temperature difference of the coolant is the difference between the temperature of the coolant before flowing into the battery cell and the temperature after flowing out of the battery cell.

[0106] Specifically, through the historical operation data, record the coolant inlet and outlet temperature data of the system under different working conditions, and summarize the temperature difference range under common working conditions.

[0107] Exemplarily, the energy balance equation, formula (5) is as follows:

[0108] P heat =m*c*(T out -T in ) (5)

[0109] Wherein, P heat is the heat generation power of the battery cell, c is the specific heat capacity of the coolant, m is the flow rate of the coolant, and T out -T in is the temperature difference of the coolant.

[0110] In one embodiment, the temperature of the battery cell can also be predicted by methods such as a deep learning model and a time series model to obtain a predicted temperature, and the target flow rate and target flow direction can be calculated in advance according to the predicted temperature.

[0111] Specifically, the deep learning model can include: LSTM (Long Short-Term Memory), GRU (Gated Recurrent Unit), Transformer, or TCN (Temporal Convolutional Network), etc. The time series model can include: ARIMA (AutoRegressive Integrated Moving Average), SARIMA (Seasonal ARIMA), or Prophet, etc.

[0112] It should be understood that although Figure 1 the steps in the flowchart of Figure 1 are shown in sequence according to the indication of the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless there is a clear indication in this article, the execution of these steps has no strict order limit, and these steps can be executed in other orders. Moreover,

[0113] In one embodiment, as Figure 2 shown, a liquid-cooled energy storage cabinet cooling device is provided. The device includes: an acquisition module 201, configured to detect the temperature of any battery cell in the energy storage cabinet through a sensor corresponding to any battery cell to obtain the detected temperature of any battery cell, where the energy storage cabinet includes at least one battery cell; a calibration module 202, configured to obtain external parameters and internal parameters of any battery cell, and calibrate the detected temperature of any battery cell to obtain the calibrated temperature of any battery cell; a calculation module 203, configured to determine the target flow direction and target flow rate of the coolant according to a preset working temperature and the calibrated temperature of any battery cell; a cooling module 204, configured to transmit the coolant to any battery cell in the energy storage cabinet according to the target flow direction and target flow rate to cool the energy storage cabinet.

[0114] As a preferred embodiment, in the embodiment of the present application, the device also includes: a first processing module, which is specifically used to: install multiple thermistors on the surface of any battery cell to generate a temperature measurement array; collect and record the temperature changes of each point in the temperature measurement array, draw a temperature distribution diagram, and determine the area with the highest temperature in any battery cell; obtain the temperature of any battery cell through a sensor installed in the area with the highest temperature.

[0115] As a preferred implementation method, in the embodiment of the present application, the correction module 202 is specifically used to: obtain the thermal conduction delay time of the battery cell; establish a thermal conduction equation to calculate the temperature change rate of the battery cell; determine the first correction temperature of the battery cell based on the detected temperature, thermal conduction delay time and temperature change rate through a prediction algorithm; and obtain the correction temperature based on the first correction temperature.

[0116] As a preferred implementation, in the embodiment of the present application, the correction module 202 is specifically used to: obtain the external ambient temperature and the compensation coefficient corresponding to the external ambient temperature; calculate the correction temperature of the battery cell based on the external ambient temperature, the compensation coefficient and the first correction temperature.

[0117] As a preferred implementation, in an embodiment of the present application, the device also includes: a second processing module, which is specifically used to: for any ambient temperature value among multiple different ambient temperature values, obtain the temperature detection value and the actual temperature value of the battery cell when charging at the ambient temperature value; determine the compensation coefficient corresponding to the battery cell at the ambient temperature value based on the temperature detection value and the actual temperature value of the battery cell; determine the correspondence between different ambient temperature values and the compensation coefficient based on the compensation coefficient of the battery cell at multiple different ambient temperature values.

[0118] As a preferred implementation method, in the embodiment of the present application, the calculation module 203 is specifically used to: divide the battery cells into multiple areas according to the corrected temperature of any battery cell, wherein one area includes at least one battery cell; obtain the battery cells in any area, and calculate the average temperature and temperature difference of any area; determine the weight of any area according to the preset operating temperature, corrected temperature, average temperature and temperature difference; and determine the target flow direction of the coolant according to the weight.

[0119] As a preferred implementation method, in the embodiment of the present application, the calculation module 203 is specifically used to: obtain the heating power of any battery cell and the specific heat capacity of the coolant; determine the temperature difference of the coolant based on historical operating data; establish an energy balance equation, and determine the flow rate of the coolant based on the heating power, specific heat capacity and temperature difference.

[0120] For the specific limitations of the liquid-cooling-based energy storage cabinet cooling device, reference can be made to the limitations of the liquid-cooling-based energy storage cabinet cooling method in the above text, which will not be elaborated here. Each module in the above-mentioned liquid-cooling-based energy storage cabinet cooling device can be implemented in whole or in part by software, hardware, and their combination. The above-mentioned modules can be embedded in or independent of the processor in the computer device in the form of hardware, or stored in the memory of the computer device in the form of software, so that the processor can call and execute the operations corresponding to the above-mentioned modules.

[0121] In one embodiment, a computer device is provided. The computer device can be a terminal, and its internal structure diagram can be as Figure 3 shown. The computer device includes a processor, a memory, a network interface, a display screen, and an input device connected through a system bus. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The network interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, it implements a liquid-cooling-based energy storage cabinet cooling method. The display screen of the computer device can be a liquid crystal display screen or an electronic ink display screen. The input device of the computer device can be a touch layer covering the display screen, or a button, a trackball, or a touchpad provided on the outer shell of the computer device, or an external keyboard, a touchpad, or a mouse, etc.

[0122] Those skilled in the art can understand that Figure 3 the structure shown in

[0123] is only a block diagram of some structures related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine some components, or have different component arrangements.

[0124] In one embodiment, when the processor executes the computer program, the following steps are further implemented: install a plurality of thermistors on the surface of any battery cell to generate a temperature measurement array; collect and record the temperature changes at each point in the temperature measurement array, draw a temperature distribution map, and determine the area with the highest temperature of any battery cell; obtain the temperature of any battery cell through the sensor installed in the area with the highest temperature.

[0125] In one embodiment, when the processor executes the computer program, the following steps are further implemented: obtain the heat conduction delay time of the battery cell; establish a heat conduction equation and calculate the temperature change rate of the battery cell; through a prediction algorithm, based on the detected temperature, heat conduction delay time, and temperature change rate, determine the first corrected temperature of the battery cell; obtain the corrected temperature according to the first corrected temperature.

[0126] In one embodiment, when the processor executes the computer program, the following steps are further implemented: obtain the external environmental temperature and the compensation coefficient corresponding to the external environmental temperature; calculate and obtain the corrected temperature of the battery cell according to the external environmental temperature, compensation coefficient, and first corrected temperature.

[0127] In one embodiment, when the processor executes the computer program, the following steps are further implemented: for any one of a plurality of different environmental temperature values, obtain the temperature detection value and the actual temperature when the battery cell is charged at the environmental temperature value; determine the compensation coefficient corresponding to the battery cell at the environmental temperature value according to the temperature detection value and the actual temperature of the battery cell; determine the corresponding relationship between different environmental temperature values and compensation coefficients according to the compensation coefficients of the battery cell at a plurality of different environmental temperature values.

[0128] In one embodiment, when the processor executes the computer program, the following steps are further implemented: divide the battery cells into a plurality of regions according to the corrected temperature of any battery cell, where one region includes at least one battery cell; obtain the battery cells in any region, calculate the average temperature and temperature difference of any region; determine the weight of any region according to the preset working temperature, corrected temperature, average temperature, and temperature difference; determine the target flow direction of the coolant according to the weight.

[0129] In one embodiment, when the processor executes the computer program, the following steps are further implemented: obtain the heating power of any battery cell and the specific heat capacity of the coolant; determine the temperature difference of the coolant according to the historical operation data; establish an energy balance equation and determine the flow rate of the coolant according to the heating power, specific heat capacity, and temperature difference.

[0130] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the following steps are implemented: S1: Detect the temperature of any battery cell in the energy storage cabinet through a sensor corresponding to any battery cell, and obtain the detected temperature of any battery cell, where the energy storage cabinet includes at least one battery cell; S2: Obtain external parameters and internal parameters of any battery cell, correct the detected temperature of any battery cell, and obtain the corrected temperature of any battery cell; S3: Determine the target flow direction and target flow rate of the coolant according to the preset working temperature and the corrected temperature of any battery cell; S4: Transmit the coolant to any battery cell in the energy storage cabinet according to the target flow direction and target flow rate to cool down the energy storage cabinet.

[0131] In one embodiment, when the computer program is executed by a processor, the following steps are further implemented: Install a plurality of thermistors on the surface of any battery cell to generate a temperature measurement array; Collect and record the temperature changes at each point in the temperature measurement array, draw a temperature distribution map, and determine the area with the highest temperature of any battery cell; Obtain the temperature of any battery cell through the sensor installed in the area with the highest temperature.

[0132] In one embodiment, when the computer program is executed by a processor, the following steps are further implemented: Obtain the heat conduction delay time of the battery cell; Establish a heat conduction equation and calculate the temperature change rate of the battery cell; Through a prediction algorithm, based on the detected temperature, heat conduction delay time, and temperature change rate, determine the first corrected temperature of the battery cell; Obtain the corrected temperature according to the first corrected temperature.

[0133] In one embodiment, when the computer program is executed by a processor, the following steps are further implemented: Obtain the external environmental temperature and the compensation coefficient corresponding to the external environmental temperature; Calculate the corrected temperature of the battery cell according to the external environmental temperature, compensation coefficient, and first corrected temperature.

[0134] In one embodiment, when the computer program is executed by a processor, the following steps are further implemented: For any one of a plurality of different environmental temperature values, obtain the temperature detection value and the actual temperature when the battery cell is charged at the environmental temperature value; Determine the compensation coefficient corresponding to the battery cell at the environmental temperature value according to the temperature detection value and the actual temperature of the battery cell; Determine the corresponding relationship between different environmental temperature values and compensation coefficients according to the compensation coefficients of the battery cell at a plurality of different environmental temperature values.

[0135] In one embodiment, when the computer program is executed by a processor, the following steps are further implemented: Divide the battery cells into a plurality of regions according to the corrected temperature of any battery cell, where at least one battery cell is included in one region; Obtain the battery cells in any region, calculate the average temperature and temperature difference of any region; Determine the weight of any region according to the preset working temperature, corrected temperature, average temperature, and temperature difference; Determine the target flow direction of the coolant according to the weight.

[0136] In one embodiment, when the computer program is executed by a processor, the following steps are further implemented: obtaining the heating power of any battery cell and the specific heat capacity of the coolant; determining the temperature difference of the coolant according to historical operation data; establishing an energy balance equation, and determining the flow rate of the coolant according to the heating power, specific heat capacity and temperature difference.

[0137] Those of ordinary skill in the art can understand that all or part of the processes of implementing the methods in the above embodiments can be completed by instructing relevant hardware through a computer program. The computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above methods. Among them, any reference to a memory, storage, database or other medium used in the various embodiments provided in the present application can include non-volatile and / or volatile memories. Non-volatile memories can include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memories can include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in various forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDR SDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), etc.

[0138] The technical features of the above embodiments can be combined arbitrarily. For the sake of brevity of description, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, it should be considered as the scope described in this specification.

[0139] The above embodiments only represent several implementation manners of the present application. The description is relatively specific and detailed, but it should not be construed as a limitation on the scope of the invention patent. It should be noted that for those of ordinary skill in the art, without departing from the concept of the present application, several modifications and improvements can be made, and these all belong to the protection scope of the present application. Therefore, the protection scope of the patent of the present application should be subject to the appended claims.

Claims

1. A method for cooling an energy storage cabinet based on liquid cooling, characterized in that, The method includes: Detecting the temperature of any battery cell in the energy storage cabinet through a sensor corresponding to any battery cell, obtaining the detected temperature of the any battery cell, where at least one battery cell is included in the energy storage cabinet; Obtaining external parameters and internal parameters of any battery cell, and correcting the detected temperature of the any battery cell to obtain the corrected temperature of the any battery cell; Determining the target flow direction and target flow rate of the coolant according to the preset working temperature and the corrected temperature of the any battery cell; Transmitting the coolant to any battery cell in the energy storage cabinet according to the target flow direction and the target flow rate to cool down the energy storage cabinet.

2. The liquid-cooling-based energy storage cabinet cooling method according to claim 1, wherein For the step of detecting the temperature of any battery cell in the energy storage cabinet through a sensor corresponding to any battery cell, the method further includes: Installing a plurality of thermistors on the surface of any battery cell to generate a temperature measurement array; Collecting and recording the temperature changes at each point in the temperature measurement array, drawing a temperature distribution map, and determining the area with the highest temperature of any battery cell; Obtaining the temperature of any battery cell through the sensor installed in the area with the highest temperature.

3. The method for cooling an energy storage cabinet based on liquid cooling according to claim 1, wherein The step of obtaining external parameters and internal parameters of any battery cell, and correcting the detected temperature of the any battery cell to obtain the corrected temperature of the any battery cell includes: Obtaining the heat conduction delay time of the battery cell; Establishing a heat conduction equation and calculating the temperature change rate of the battery cell; Determining the first corrected temperature of the battery cell through a prediction algorithm based on the detected temperature, the heat conduction delay time, and the temperature change rate; Obtaining the corrected temperature according to the first corrected temperature.

4. The method for cooling an energy storage cabinet based on liquid cooling according to claim 3, wherein, The step of obtaining the corrected temperature according to the first corrected temperature includes: Obtaining the external environmental temperature and the compensation coefficient corresponding to the external environmental temperature; Calculating the corrected temperature of the battery cell according to the external environmental temperature, the compensation coefficient, and the first corrected temperature.

5. The method for cooling an energy storage cabinet based on liquid cooling according to claim 4, wherein The method further includes: For any one of a plurality of different environmental temperature values, obtaining the temperature detection value and the actual temperature when the battery cell is charged at the environmental temperature value; Determining the compensation coefficient corresponding to the battery cell at the environmental temperature value according to the temperature detection value and the actual temperature of the battery cell; Determining the corresponding relationship between different environmental temperature values and the compensation coefficient according to the compensation coefficients of the battery cell at the plurality of different environmental temperature values.

6. The method for cooling an energy storage cabinet based on liquid cooling according to claim 1, characterized in that, The step of determining the target flow direction and target flow rate of the coolant according to the preset working temperature and the corrected temperature of the any battery cell includes: Dividing the battery cell into a plurality of regions according to the corrected temperature of the any battery cell, where at least one battery cell is included in one region; Obtaining the battery cells in any region, and calculating the average temperature and the temperature difference of the any region; Determining the weight of the any region according to the preset working temperature, the corrected temperature, the average temperature, and the temperature difference; Determining the target flow direction of the coolant according to the weight.

7. The method for cooling an energy storage cabinet based on liquid cooling according to claim 1, wherein The step of determining the target flow direction and target flow rate of the coolant according to the preset working temperature and the corrected temperature of the any battery cell further includes: Obtaining the heat generation power of any battery cell and the specific heat capacity of the coolant; Determining the temperature difference of the coolant according to historical operation data. Establish an energy balance equation, and determine the flow rate of the coolant according to the heating power, the specific heat capacity, and the temperature difference.

8. A liquid-cooling-based energy storage cabinet cooling device, characterized in that, The device includes: A collection module, configured to detect the temperature of any battery cell in the energy storage cabinet through a sensor corresponding to any battery cell, and obtain the detected temperature of the any battery cell, where the energy storage cabinet includes at least one battery cell; A calibration module, configured to obtain external parameters and internal parameters of any battery cell, and calibrate the detected temperature of the any battery cell to obtain the calibrated temperature of the any battery cell; A calculation module, configured to determine the target flow direction and target flow rate of the coolant according to a preset operating temperature and the calibrated temperature of the any battery cell; A cooling module, configured to transmit the coolant to any battery cell in the energy storage cabinet according to the target flow direction and the target flow rate to cool the energy storage cabinet.

9. A computer device, comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, characterized in that, When the processor executes the computer program, the steps of the method according to any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, the steps of the method according to any one of claims 1 to 7 are implemented.

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