Energy storage set-based liquid cooling machine start-stop control method and system and storage medium

Abstract

The application discloses a kind of based on energy storage set equipment's liquid cooling machine start-stop control method, system and storage medium, the method includes: the battery operating state information of energy storage set equipment, surrounding environment information and liquid cooling machine operating state information are collected;Battery operating state information, surrounding environment information and liquid cooling operating state information are used to construct battery heat source submodel, air heat exchange submodel and liquid cooling heat dissipation submodel respectively;Based on battery heat source submodel, air heat exchange submodel and liquid cooling heat dissipation submodel, the initial time of charging and the total time of charging are established thermodynamics segmented function by piecewise analysis method according to battery;The optimal start-stop time of liquid cooling machine is calculated by thermodynamics segmented function according to battery target temperature to carry out liquid cooling machine start-stop control.The application constructs three thermal coupling submodels according to the thermal behavior of battery pack, and establishes thermodynamics segmented function by piecewise analysis method, deduces the optimal start-stop time of liquid cooling machine, to realize more accurate temperature control management and energy consumption optimization.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of liquid cooling temperature control, and particularly relates to a liquid cooling machine start-stop control method and system based on an energy storage cluster device and a storage medium. BACKGROUND

[0002] With the continuous development of the new energy industry, electrochemical energy storage systems are widely used in power peak shaving, distributed energy access, microgrids and emergency power supplies. In order to ensure the safety and operating life of lithium ion batteries during high-rate charging and discharging, the start-stop control of the liquid cooling machine has become the mainstream solution for thermal management of energy storage systems.

[0003] However, under extreme environmental conditions, such as high-temperature regions, the start-stop control of traditional liquid cooling machines gradually exposes several technical bottlenecks, making it difficult to meet the operational requirements of safety, battery life extension, and energy efficiency. In the prior art, the start-stop control of the liquid cooling device is based on a fixed temperature threshold, but lacks flexibility in dealing with extreme high temperatures, resulting in excessively high battery cluster temperatures under extreme high-temperature working conditions, which may trigger irreversible reactions such as lithium precipitation and SEI film degradation, accelerating battery performance degradation.

[0004] Therefore, how to accurately obtain the start-stop time of the liquid cooling machine to achieve precise temperature control management has become a problem to be solved.

[0005] The above content is only used to assist in understanding the technical solutions of the present application and does not represent the acknowledgement of the above content as prior art. SUMMARY

[0006] The main purpose of the present application is to provide a liquid cooling machine start-stop control method and system based on an energy storage cluster device and a storage medium, aiming to solve the technical problem of how to accurately obtain the start-stop time of the liquid cooling machine to achieve precise temperature control management.

[0007] To achieve the above-mentioned purpose, the present application provides a liquid cooling machine start-stop control method based on an energy storage cluster device, which comprises:

[0008] Collecting battery operating state information, surrounding environment information and liquid cooling machine operating state information of the energy storage cluster device;

[0009] According to the battery operating state information, the surrounding environment information and the liquid cooling operating state information, a battery heat source sub-model, an air heat exchange sub-model and a liquid cooling heat dissipation sub-model are constructed respectively;

[0010] Based on the battery heat source sub-model, the air heat exchange sub-model and the liquid cooling heat dissipation sub-model, a thermodynamic piecewise function is established by piecewise analysis method according to the initial charging time and the total charging time of the battery;

[0011] The optimal start-stop time of the liquid cooling machine is calculated according to the battery target temperature through the thermodynamic segmentation function, and the liquid cooling machine start-stop control is performed based on the optimal start-stop time of the liquid cooling machine.

[0012] Optionally, the battery heat source sub-model, the air heat exchange sub-model and the liquid cooling heat dissipation sub-model are respectively constructed according to the battery operating state information, the surrounding environment information and the liquid cooling operating state information, and the method comprises:

[0013] The battery heat source sub-model is constructed according to the battery operating state information;

[0014] The air heat exchange sub-model is constructed according to the surrounding environment information and the battery operating state information;

[0015] The liquid cooling heat dissipation sub-model is constructed according to the battery operating state information and the liquid cooling operating state information.

[0016] Optionally, the battery heat source sub-model is constructed according to the battery operating state information, and the method comprises:

[0017] The battery heat generation power, the battery current, the battery equivalent internal resistance and the irreversible voltage loss are extracted from the battery operating state information;

[0018] The battery heat source sub-model is constructed through a heat source constraint condition according to the battery heat generation power, the battery current, the battery equivalent internal resistance and the irreversible voltage loss.

[0019] Optionally, the air heat exchange sub-model is constructed according to the surrounding environment information and the battery operating state information, and the method comprises:

[0020] The air convection heat exchange coefficient, the battery effective heat exchange surface area and the battery current temperature are extracted from the battery operating state information, and the ambient air temperature is extracted from the surrounding environment information;

[0021] The air heat exchange sub-model is constructed through a convection heat dissipation constraint condition or a convection heat absorption constraint condition between the battery and the air according to the air convection heat exchange coefficient, the battery effective heat exchange surface area, the battery current temperature and the ambient air temperature.

[0022] Optionally, the liquid cooling heat dissipation sub-model is constructed according to the battery operating state information and the liquid cooling operating state information, and the method comprises:

[0023] The cooling medium refrigeration power, the cooling liquid convection heat exchange coefficient, the battery effective liquid cooling surface area and the cooling liquid current temperature are extracted from the liquid cooling operating state information;

[0024] A liquid cooling heat dissipation sub-model is constructed according to the cooling medium refrigeration power, the cooling liquid convection heat exchange coefficient, the effective liquid cooling surface area of the battery, the current temperature of the cooling liquid and the current temperature of the battery through a liquid cooling heat dissipation constraint condition.

[0025] Optionally, the thermodynamic segmented function is established according to the battery heat source sub-model, the air heat exchange sub-model and the liquid cooling heat dissipation sub-model through a segmented analytical method according to the initial charging time and the total charging time of the battery, and the thermodynamic segmented function includes:

[0026] The initial charging time and the total charging time of the battery are determined.

[0027] The state of the energy storage power station is divided according to the initial charging time and the total charging time through a segmented analytical method.

[0028] The thermodynamic segmented function is established according to the battery heat source sub-model, the air heat exchange sub-model and the liquid cooling heat dissipation sub-model based on the state division result.

[0029] Optionally, the thermodynamic segmented function is established according to the battery heat source sub-model, the air heat exchange sub-model and the liquid cooling heat dissipation sub-model based on the state division result, and the thermodynamic segmented function includes:

[0030] When the state division result is the standby state, the battery mass and the battery equivalent specific heat capacity are extracted from the battery operation state information, and the first stage function of the state of the energy storage power station is constructed according to the battery mass and the battery equivalent specific heat capacity based on the air heat exchange sub-model.

[0031] When the state division result is the start state, the second stage function of the state of the energy storage power station is constructed according to the battery mass and the battery equivalent specific heat capacity based on the air heat exchange sub-model and the liquid cooling heat dissipation sub-model.

[0032] When the state division result is the working state, the third stage function of the state of the energy storage power station is constructed according to the battery mass and the battery equivalent specific heat capacity based on the battery heat source sub-model, the air heat exchange sub-model and the liquid cooling heat dissipation sub-model.

[0033] The thermodynamic segmented function is established according to the first stage function, the second stage function and the third stage function.

[0034] Optionally, the optimal start time of the liquid cooling machine is calculated according to the battery target temperature through the thermodynamic segmented function, and the optimal start time of the liquid cooling machine includes:

[0035] The thermodynamic segmented function is temperature-analyzed to obtain a battery temperature analytical expression of each stage.

[0036] Based on the battery target temperature and the battery temperature analytical expression of each stage, the optimal start-stop time of the liquid cooling machine is calculated through the total stage battery temperature analytical expression after being solved.

[0037] In addition, to achieve the above object, the application further provides a liquid cooling machine start-stop control system based on energy storage set equipment, which comprises:

[0038] A data acquisition unit is configured to acquire battery operation state information, surrounding environment information and liquid cooling machine operation state information of the energy storage set equipment.

[0039] A staged modeling unit is configured to construct a battery heat source sub-model, an air heat exchange sub-model and a liquid cooling heat dissipation sub-model according to the battery operation state information, the surrounding environment information and the liquid cooling operation state information.

[0040] The staged modeling unit is further configured to establish a thermodynamic segmented function through a segmented analytical method according to the initial charging time and the total charging time of the battery based on the battery heat source sub-model, the air heat exchange sub-model and the liquid cooling heat dissipation sub-model.

[0041] An analytical calculation unit is configured to calculate the optimal start time of the liquid cooling machine through the thermodynamic segmented function according to the battery target temperature, and perform liquid cooling machine start-stop control based on the optimal start-stop time of the liquid cooling machine.

[0042] In addition, to achieve the above object, the application further provides a liquid cooling machine start-stop control device based on energy storage set equipment, which comprises a memory, a processor and a liquid cooling machine start-stop control program based on energy storage set equipment stored in the memory and executable on the processor, wherein the liquid cooling machine start-stop control program based on energy storage set equipment is configured to implement the steps of the liquid cooling machine start-stop control method based on energy storage set equipment as described above.

[0043] In addition, to achieve the above object, the application further provides a storage medium, wherein the storage medium stores a liquid cooling machine start-stop control program based on energy storage set equipment, and the liquid cooling machine start-stop control program based on energy storage set equipment implements the steps of the liquid cooling machine start-stop control method based on energy storage set equipment when executed by a processor.

[0044] The application firstly collects battery operation state information, surrounding environment information and liquid cooling machine operation state information of the energy storage assembly device, then respectively constructs a battery heat source sub-model, an air heat exchange sub-model and a liquid cooling heat dissipation sub-model according to the battery operation state information, the surrounding environment information and the liquid cooling operation state information, and then establishes a thermodynamic piecewise function based on the battery heat source sub-model, the air heat exchange sub-model and the liquid cooling heat dissipation sub-model according to the initial charging time and the total charging time of the battery through the piecewise analytical method, and finally calculates the optimal start-stop time of the liquid cooling machine according to the target temperature of the battery to control the start-stop of the liquid cooling machine. Compared with the existing technology based on the fixed temperature threshold for liquid cooling device start-stop control, it lacks flexible response to extreme high temperature, which leads to high battery cluster temperature in extreme high temperature working condition, which may cause irreversible reactions such as lithium precipitation and SEI film degradation, and accelerates the degradation of battery performance. According to the three thermal coupling sub-models constructed according to the battery pack thermal behavior, and the thermodynamic piecewise function established by the piecewise analytical method, the optimal start-stop time of the liquid cooling machine is derived, so that more accurate temperature control management and energy consumption optimization are realized, and the safety, stability and battery full life cycle economy of the energy storage system are improved. BRIEF DESCRIPTION OF DRAWINGS

[0045] Figure 1 is a structure schematic diagram of the liquid cooling machine start-stop control device based on the energy storage assembly device of the hardware running environment related to the embodiment scheme of the application.

[0046] Figure 2 is a flowchart of the first embodiment of the liquid cooling machine start-stop control method based on the energy storage assembly device of the application.

[0047] Figure 3 is a structure block diagram of the first embodiment of the liquid cooling machine start-stop control system based on the energy storage assembly device of the application.

[0048] The implementation, functional features and advantages of the application will be further described with reference to the embodiments and the accompanying drawings. DETAILED DESCRIPTION

[0049] It should be understood that the specific embodiments described herein are only used to explain the application, and are not used to limit the application.

[0050] Reference Figure 1 , Figure 1 is a structure schematic diagram of the liquid cooling machine start-stop control device based on the energy storage assembly device of the hardware running environment related to the embodiment scheme of the application.

[0051] As Figure 1As shown in the figure, the liquid-cooled machine start-stop control device based on the energy storage set device can include a processor 1001, such as a central processing unit (CPU), a communication bus 1002, a user interface 1003, a network interface 1004, and a memory 1005. The communication bus 1002 is used to realize the connection communication between the components. The user interface 1003 can include a display screen, an input unit such as a keyboard, and can also include a standard wired interface, a wireless interface. The network interface 1004 can optionally include a standard wired interface, a wireless interface (such as a wireless fidelity (Wi-Fi) interface). The memory 1005 can be a high-speed random access memory (RAM), and can also be a stable non-volatile memory (NVM), such as a disk memory. The memory 1005 can also be an independent storage system from the aforementioned processor 1001.

[0052] Those skilled in the art can understand that Figure 1 The structure shown in the figure does not constitute a limitation on the liquid-cooled machine start-stop control device based on the energy storage set device, and can include more or fewer components than the figure, or combine certain components, or different component arrangements.

[0053] As Figure 1 As shown in the figure, the memory 1005 as a storage medium can include an operating system, a network communication module, a user interface module, and a liquid-cooled machine start-stop control program based on the energy storage set device.

[0054] In Figure 1 The network interface 1004 of the liquid-cooled machine start-stop control device based on the energy storage set device is mainly used for data communication with a network server; the user interface 1003 is mainly used for data interaction with the user; the processor 1001 and the memory 1005 in the liquid-cooled machine start-stop control device based on the energy storage set device can be arranged in the liquid-cooled machine start-stop control device based on the energy storage set device. The liquid-cooled machine start-stop control device based on the energy storage set device calls the liquid-cooled machine start-stop control program based on the energy storage set device stored in the memory 1005 through the processor 1001, and executes the liquid-cooled machine start-stop control method based on the energy storage set device provided by the embodiment of the present application.

[0055] The embodiment of the present application provides a liquid-cooled machine start-stop control method based on an energy storage set device, which refers to Figure 2 , Figure 2 The flowchart of the first embodiment of the liquid-cooled machine start-stop control method based on the energy storage set device of the present application.

[0056] The liquid cooling machine start-stop control method based on the energy storage system in the embodiment includes the following steps:

[0057] Step S10: Collecting battery operating state information, surrounding environment information, and liquid cooling machine operating state information of the energy storage system.

[0058] It is easy to understand that the execution subject of the embodiment can be a liquid cooling machine start-stop control system based on the energy storage system, which has functions such as data processing, network communication, and program running, or other computer devices with similar functions, and the embodiment is not limited thereto.

[0059] It should be noted that the energy storage system includes a battery and a liquid cooling machine.

[0060] Through the sensor network arranged inside and outside the energy storage system, multiple types of key parameters required for liquid cooling control are collected in real time, including battery operating state information, surrounding environment information, and liquid cooling machine operating state information. The battery operating state information includes the current temperature of the battery , the current current of the battery , the equivalent internal resistance of the battery , the mass of the battery , the heat transfer coefficient between the battery shell and the air , the equivalent specific heat capacity of the battery , and the effective heat exchange area of the battery exposed to the air , etc.; the surrounding environment information includes the ambient air temperature , the time stamp of the current time relative to the start point of the control period ; the liquid cooling machine operating state information includes the refrigeration power of the cooling medium , the surface area of the battery exposed to the liquid cooling , the flow rate of the liquid cooling machine , the temperature of the cooling liquid , and the current operating state of the liquid cooling system (on / off, running time, etc.).

[0061] Step S20: Constructing a battery heat source sub-model, an air heat exchange sub-model, and a liquid cooling heat dissipation sub-model based on the battery operating state information, the surrounding environment information, and the liquid cooling operating state information.

[0062] In specific implementation, based on MATLAB / Simulink platform modeling and simulation verification, a set of thermal management simulation model is constructed based on the current operating state and thermal physical parameters of the battery. The thermal management simulation model is composed of a battery heat source sub-model, an air heat exchange sub-model, and a liquid cooling heat dissipation sub-model, which is used to simulate the temperature evolution trend of the battery in a specific time window. This model is based on the principle of thermal equilibrium, and comprehensively considers the battery self-heating, convective heat exchange with the ambient air, and the active heat dissipation capacity provided by the liquid cooling system.

[0063] Further, a battery heat source sub-model is constructed according to the battery operation state information; an air heat exchange sub-model is constructed according to the surrounding environment information and the battery operation state information; and a liquid cooling heat dissipation sub-model is constructed according to the battery operation state information and the liquid cooling operation state information.

[0064] The battery heat source sub-model is constructed according to the battery operation state information by extracting the battery heat generation power, the current battery current, the battery equivalent internal resistance and the irreversible voltage loss from the battery operation state information; and the battery heat source sub-model is constructed by the heat source constraint condition according to the battery heat generation power, the current battery current, the battery equivalent internal resistance and the irreversible voltage loss, and the heat source constraint condition is that the battery heat generation power, the current battery current, the battery equivalent internal resistance and the irreversible voltage loss need to satisfy the heat balance.

[0065] In the embodiment, the battery heat source sub-model calculates the total heat generation power in the battery due to the electrochemical reaction and the resistance effect according to the charging and discharging state and the rate of the battery.

[0066] The battery heat source sub-model can be established based on the following expression:

[0067]

[0068] wherein, Q is the battery heat generation power, is the battery working current, is the battery equivalent internal resistance, is the irreversible voltage loss.

[0069] The air heat exchange sub-model is constructed according to the surrounding environment information and the battery operation state information by extracting the air convection heat exchange coefficient, the effective heat exchange surface area of the battery and the current temperature of the battery from the battery operation state information, and extracting the ambient air temperature from the surrounding environment information; and the air heat exchange sub-model is constructed by the convection heat dissipation constraint condition or the convection heat absorption constraint condition between the battery and the air according to the air convection heat exchange coefficient, the effective heat exchange surface area of the battery, the current temperature of the battery and the ambient air temperature. The convection heat dissipation constraint condition or the convection heat absorption constraint condition between the battery and the air is to satisfy the heat dissipation / absorption process between the battery pack and the external environment air in the form of natural convection.

[0070] The air heat exchange sub-model can be established based on the following expression:

[0071]

[0072] wherein, is the convection heat dissipation / absorption, is the air convection heat exchange coefficient, an area of the battery exposed to the air (i.e., an effective heat exchange area of the battery), an ambient air temperature, a current temperature of the battery.

[0073] The battery heat source sub-model is constructed according to the battery operating state information and the liquid cooling operating state information. The cooling medium refrigeration power, the cooling liquid convective heat exchange coefficient, the effective liquid cooling surface area of the battery, and the current temperature of the cooling liquid are extracted from the liquid cooling operating state information. The liquid cooling heat dissipation sub-model is constructed according to the cooling medium refrigeration power, the cooling liquid convective heat exchange coefficient, the effective liquid cooling surface area of the battery, the current temperature of the cooling liquid, and the current temperature of the battery through a liquid cooling heat dissipation constraint condition. The liquid cooling heat dissipation constraint condition considers the effect of the active heat dissipation of the liquid cooling system.

[0074] The liquid cooling heat dissipation sub-model can be constructed according to the performance curve of the liquid cooling heat exchanger or the set refrigeration power. The liquid cooling heat dissipation sub-model can be constructed based on the following expression:

[0075]

[0076] wherein, the cooling medium refrigeration power, the cooling liquid convective heat exchange coefficient, an area of the battery exposed to the liquid cooling (i.e., an effective liquid cooling surface area of the battery), the current temperature of the cooling liquid.

[0077] The cooling medium refrigeration power can be obtained according to the refrigeration capacity of different liquid cooling machines at extreme temperatures.

[0078] Step S30: based on the battery heat source sub-model, the air heat exchange sub-model, and the liquid cooling heat dissipation sub-model, a thermodynamic segmented function is constructed according to the initial charging time and the total charging time of the battery through a segmented analytical method.

[0079] Further, the initial charging time and the total charging time of the battery are determined. The state of the energy storage power station is divided according to the initial charging time and the total charging time through a segmented analytical method. The thermodynamic segmented function is constructed based on the state division result according to the battery heat source sub-model, the air heat exchange sub-model, and the liquid cooling heat dissipation sub-model.

[0080] It should be noted that the initial charging time and the total charging time of the battery are user-defined settings. The initial charging time is the time when the user needs to start charging. The total charging time is the charging time of the battery set by the user.

[0081] In this embodiment, the initial charging time X of the battery and the total charging time of the battery are determined according to the initial charging time X and the total charging time of the battery. The operation state of the energy storage power station is divided into three states by the piecewise analysis method, and each state corresponds to a different time period. The first stage: time: 0~T, corresponding to standby state (i.e. battery and liquid cooling machine are in standby state); the second stage: time: T~X, corresponding to start-up state (i.e. battery standby, liquid cooling machine starts working in advance in high temperature environment); the third stage: time: X , corresponding to working state (i.e. battery charging heating, liquid cooling machine working continuously heat absorption).

[0082] Further, when the state division result is standby state, the battery mass and the battery equivalent specific heat capacity are extracted from the battery operation state information, and the first stage function of the energy storage power station operation state is constructed based on the air heat exchange sub-model according to the battery mass and the battery equivalent specific heat capacity; when the state division result is start-up state, the second stage function of the energy storage power station operation state is constructed based on the air heat exchange sub-model and the liquid cooling heat dissipation sub-model according to the battery mass and the battery equivalent specific heat capacity; when the state division result is working state, the third stage function of the energy storage power station operation state is constructed based on the battery heat source sub-model, the air heat exchange sub-model and the liquid cooling heat dissipation sub-model according to the battery mass and the battery equivalent specific heat capacity; the thermodynamic piecewise function is established according to the first stage function, the second stage function and the third stage function.

[0083] Time: 0~T, the first stage function is:

[0084]

[0085] Wherein, is the battery mass, is the battery equivalent specific heat capacity.

[0086] Time: T~X, the second stage function is:

[0087]

[0088] Wherein, is the liquid cooling machine refrigeration capacity.

[0089] Time: , the third stage function is:

[0090]

[0091] Further, the thermodynamic piecewise function is analyzed by temperature to obtain the battery temperature analysis expression of each stage; the battery target temperature is based on the battery temperature analysis expression of each stage, and the optimal start-stop time of the liquid cooling machine is calculated through the total stage battery temperature analysis expression after the simultaneous equation.

[0092] In specific implementation, the battery temperature analysis expression of the first stage function is:

[0093]

[0094] wherein T is the time of the liquid cooling machine starting (i.e. the liquid cooling machine starting time), is the initial temperature of the battery.

[0095] The steady-state temperature corresponding to the second stage function is:

[0096]

[0097] The battery temperature analytical expression of the second stage function is:

[0098]

[0099] wherein X is the time of the battery starting charging.

[0100] The steady-state temperature corresponding to the third stage function is:

[0101]

[0102] The battery temperature analytical expression of the third stage function is:

[0103]

[0104] wherein, is the final battery target temperature (i.e. the battery target temperature set by the user), is the total charging time of the battery.

[0105] The total stage battery temperature analytical expression after combination is:

[0106]

[0107] It should be noted that the optimal start-stop time of the liquid cooling machine includes the optimal start time of the liquid cooling machine and the stop time of the liquid cooling machine. The optimal start time of the liquid cooling machine T can be calculated by the total stage battery temperature analytical expression after combination, is the stop time of the liquid cooling machine, which ensures that the battery temperature does not exceed the system safety upper limit after charging and discharging, and the optimal start time of the liquid cooling system obtained can be transmitted to the energy storage equipment thermal management execution layer to trigger the liquid cooling system to start in advance according to the prediction result (i.e. the optimal start time of the liquid cooling machine), so as to achieve (i.e. the stop time of the liquid cooling machine) to avoid insufficient cooling or energy waste.

[0108] The control logic comprehensively considers the balance between the energy consumption of the liquid cooling system and the temperature control accuracy on the premise of ensuring that the battery temperature does not exceed the limit. Under the running target (high-precision temperature control, energy saving, and aging life extension strategy, etc.), the system can select the corresponding liquid cooling machine start-stop time to realize energy efficiency optimization.

[0109] It should also be understood that the latest parameters are periodically re-acquired to determine whether changes in the environment or operating state require re-execution of the calculation program to achieve adaptive updating of the strategy and precise control of the temperature and liquid cooling machine.

[0110] When the system detects the following abnormal conditions:

[0111] Exceeding the response capability: the predicted temperature rise of the battery cluster exceeds the response capability of the liquid cooling system;

[0112] Long time high load operation of the liquid cooling system: when the ambient temperature is too high and the energy storage system is in standby or low power operation state, the liquid cooling system needs to operate for a long time under high load to maintain temperature stability.

[0113] In this embodiment, first, the battery operating state information, surrounding environment information and liquid cooling machine operating state information of the energy storage assembly device are collected, then the battery heat source sub-model, air heat exchange sub-model and liquid cooling heat dissipation sub-model are constructed according to the battery operating state information, surrounding environment information and liquid cooling operating state information, then based on the battery heat source sub-model, air heat exchange sub-model and liquid cooling heat dissipation sub-model, the thermodynamic piecewise function is established by piecewise analysis method according to the initial charging time and total charging time of the battery, and finally the optimal start-stop time of the liquid cooling machine is calculated through the thermodynamic piecewise function according to the target temperature of the battery to control the start-stop of the liquid cooling machine. Compared with the existing technology of liquid cooling device start-stop control based on fixed temperature threshold, it lacks flexible response to extreme high temperature, which leads to high temperature of the battery cluster in extreme high temperature working condition, which may cause irreversible reactions such as lithium precipitation and SEI film degradation, and accelerates the degradation of battery performance. According to the three thermal coupling sub-models constructed according to the thermal behavior of the battery pack, and the thermodynamic piecewise function established by the piecewise analysis method, the optimal start-stop time of the liquid cooling machine is derived, so as to realize more accurate temperature control management and energy consumption optimization, and comprehensively improve the safety, stability and battery full life cycle economy of the energy storage system.

[0114] Referring to Figure 3 , Figure 3 is a structural block diagram of the first embodiment of the liquid cooling machine start-stop control system based on the energy storage assembly device of the present application.

[0115] As Figure 3 shown, the liquid cooling machine start-stop control system based on the energy storage assembly device proposed by the embodiment of the present application comprises:

[0116] The data acquisition unit 3001 is used to collect the battery operating state information, surrounding environment information and liquid cooling machine operating state information of the energy storage assembly device;

[0117] The staged modeling unit 3002 is configured to construct a battery heat source submodel, an air heat exchange submodel and a liquid cooling heat dissipation submodel according to the battery operation state information, the surrounding environment information and the liquid cooling operation state information respectively.

[0118] The staged modeling unit 3002 is further configured to establish a thermodynamic piecewise function by piecewise analysis according to the initial charging time and the total charging time of the battery based on the battery heat source submodel, the air heat exchange submodel and the liquid cooling heat dissipation submodel.

[0119] The analytic calculation unit 3003 is configured to calculate an optimal start time of the liquid cooling machine according to the battery target temperature through the thermodynamic piecewise function, and perform start-stop control of the liquid cooling machine based on the optimal start-stop time of the liquid cooling machine.

[0120] Other embodiments or specific implementations of the liquid cooling machine start-stop control system of the energy storage system can refer to the above-mentioned method embodiments, which will not be described here.

[0121] It should be noted that in this document, the terms "comprising", "containing", or any other variant thereof are intended to cover non-exclusive inclusion, so that a process, method, article or system including a series of elements not only includes those elements, but also includes other elements not explicitly listed, or includes elements inherent to such a process, method, article or system. Without more limitations, the element defined by the statement "including a" does not exclude the presence of other identical elements in the process, method, article or system including the element.

[0122] The above-mentioned embodiment numbers of the present application are only for description, and do not represent the advantages and disadvantages of the embodiments.

[0123] Through the above description of the embodiments, those skilled in the art can clearly understand that the above-mentioned embodiment methods can be realized by means of software and necessary general hardware platform, of course, they can also be realized by hardware, but in many cases the former is a better embodiment. Based on such understanding, the technical solutions of the present application can be embodied in the form of a software product, which is stored in a storage medium (such as a read-only memory / random access memory, a magnetic disk, an optical disk), and includes a plurality of instructions for making a terminal device (which can be a mobile phone, a computer, a server, or a network device, etc.) execute the methods described in various embodiments of the present application.

[0124] The above is only the preferred embodiment of the present application, and does not limit the patent scope of the present application, and any equivalent structure or equivalent flow transformation made by using the content of the specification and drawings, or direct or indirect application in other related technical fields, are also included in the patent protection scope of the present application.

Claims

1. A method for liquid-cooled machine start-stop control based on energy storage set device, characterized in that, The method comprises the following steps: Collecting battery operation state information, surrounding environment information and liquid cooling machine operation state information of the energy storage container equipment; Respectively constructing a battery heat source sub-model, an air heat exchange sub-model and a liquid cooling heat dissipation sub-model according to the battery operation state information, the surrounding environment information and the liquid cooling machine operation state information; Based on the battery heat source sub-model, the air heat exchange sub-model and the liquid cooling heat dissipation sub-model, a thermodynamic piecewise function is established by a piecewise analytical method according to the initial charging time and the total charging time of the battery; According to the battery target temperature, the optimal start-stop time of the liquid cooling machine is calculated through the thermodynamic piecewise function, and the start-stop control of the liquid cooling machine is performed based on the optimal start-stop time of the liquid cooling machine; The method for establishing the thermodynamic piecewise function based on the battery heat source sub-model, the air heat exchange sub-model and the liquid cooling heat dissipation sub-model according to the initial charging time and the total charging time of the battery by the piecewise analytical method comprises: Determine the initial charging time and the total charging time of the battery; According to the initial charging time and the total charging time, the state of the energy storage power station is divided by the piecewise analytical method; Based on the state division result, the thermodynamic piecewise function is established according to the battery heat source sub-model, the air heat exchange sub-model and the liquid cooling heat dissipation sub-model; The method for calculating the optimal start time of the liquid cooling machine according to the battery target temperature through the thermodynamic piecewise function comprises: Temperature analysis is performed on the thermodynamic piecewise function to obtain battery temperature analytical expressions of each stage; Based on the battery target temperature, the battery temperature analytical expressions of each stage are solved, and the optimal start-stop time of the liquid cooling machine is calculated through the total stage battery temperature analytical expression after the solution.

2. The method of claim 1, wherein, The method for respectively constructing a battery heat source sub-model, an air heat exchange sub-model and a liquid cooling heat dissipation sub-model according to the battery operation state information, the surrounding environment information and the liquid cooling machine operation state information comprises: Constructing a battery heat source sub-model according to the battery operation state information; Constructing an air heat exchange sub-model according to the surrounding environment information and the battery operation state information; Constructing a liquid cooling heat dissipation sub-model according to the battery operation state information and the liquid cooling machine operation state information.

3. The method of claim 2, wherein, The method for constructing a battery heat source sub-model according to the battery operation state information comprises: Extracting the battery heat generation power, the current battery current, the battery equivalent internal resistance and the irreversible voltage loss from the battery operation state information; According to the battery heat generation power, the current battery current, the battery equivalent internal resistance and the irreversible voltage loss, a battery heat source sub-model is constructed through a heat source constraint condition.

4. The method of claim 3, wherein, The method for constructing an air heat exchange sub-model according to the surrounding environment information and the battery operation state information comprises: Extracting the air convection heat exchange coefficient, the effective heat exchange surface area of the battery and the current battery temperature from the battery operation state information, and extracting the ambient air temperature from the surrounding environment information; According to the air convection heat exchange coefficient, the effective heat exchange surface area of the battery, the current battery temperature and the ambient air temperature, an air heat exchange sub-model is constructed through a convection heat dissipation constraint condition or a convection heat absorption constraint condition between the battery and the air.

5. The method of claim 4, wherein, The constructing liquid cooling heat dissipation sub-model according to the battery operation state information and the liquid cooling machine operation state information comprises: extracting cooling medium refrigeration power, cooling liquid convection heat transfer coefficient, battery effective liquid cooling surface area and cooling liquid current temperature from the liquid cooling machine operation state information; constructing a liquid cooling heat dissipation sub-model through liquid cooling heat dissipation constraint conditions according to the cooling medium refrigeration power, the cooling liquid convection heat transfer coefficient, the battery effective liquid cooling surface area, the cooling liquid current temperature and the battery current temperature.

6. The method of claim 1, wherein, The establishing thermodynamic segmented function according to the battery heat source sub-model, the air heat exchange sub-model and the liquid cooling heat dissipation sub-model based on the state division result comprises: when the state division result is the standby state, extracting battery mass and battery equivalent specific heat capacity from the battery operation state information, and constructing the first stage function of the energy storage power station operation state according to the battery mass and the battery equivalent specific heat capacity based on the air heat exchange sub-model; when the state division result is the start state, constructing the second stage function of the energy storage power station operation state according to the battery mass and the battery equivalent specific heat capacity based on the air heat exchange sub-model and the liquid cooling heat dissipation sub-model; when the state division result is the working state, constructing the third stage function of the energy storage power station operation state according to the battery mass and the battery equivalent specific heat capacity based on the battery heat source sub-model, the air heat exchange sub-model and the liquid cooling heat dissipation sub-model; establishing the thermodynamic segmented function according to the first stage function, the second stage function and the third stage function.

7. A liquid-cooled machine start-stop control system based on energy storage set apparatus, characterized by, The system comprises: a data acquisition unit configured to acquire battery operation state information, surrounding environment information and liquid cooling machine operation state information of an energy storage set device; a staged modeling unit configured to construct a battery heat source sub-model, an air heat exchange sub-model and a liquid cooling heat dissipation sub-model according to the battery operation state information, the surrounding environment information and the liquid cooling machine operation state information respectively; the staged modeling unit is further configured to establish a thermodynamic segmented function through a segmented analytic method according to a battery charging initial time and a total charging time based on the battery heat source sub-model, the air heat exchange sub-model and the liquid cooling heat dissipation sub-model; an analytic calculation unit configured to calculate an optimal liquid cooling machine start time through the thermodynamic segmented function according to a battery target temperature, and perform liquid cooling machine start-stop control based on the optimal liquid cooling machine start-stop time; the liquid cooling machine start-stop control system based on the energy storage set device realizes the steps of the liquid cooling machine start-stop control method based on the energy storage set device according to any one of claims 1 to 6.

8. A storage medium, characterized by The storage medium stores a liquid cooling machine start-stop control program based on an energy storage set device, and the liquid cooling machine start-stop control program based on the energy storage set device realizes the steps of the liquid cooling machine start-stop control method based on the energy storage set device according to any one of claims 1 to 6 when executed by the processor.

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