Energy storage system control method, device, computer equipment, medium and product

Abstract

This application relates to a control method, device, computer equipment, medium, and product for an energy storage system. The method includes: obtaining the correspondence between state combinations and temperature parameter value combinations of the energy storage system; the state combinations include seasonal modes and battery operating states; the temperature parameter value combinations include the respective temperature parameter values ​​corresponding to battery temperature parameters and liquid chiller temperature parameters, such that the liquid chiller of the energy storage system is in a low-energy-consumption state under the state combinations corresponding to the temperature parameter value combinations; forming the current state combination of the energy storage system based on the seasonal mode to which the current ambient temperature value belongs and the current battery operating state; determining the currently applicable temperature parameter value combination of the energy storage system based on the current state combination and the correspondence; and controlling the liquid chiller based on the currently applicable temperature parameter value combination of the energy storage system. This method can reduce the energy consumption of the liquid chiller.

Description

Technical Field

[0001] The present application relates to the field of energy storage technology, and in particular to a control method, device, computer equipment, medium and product of an energy storage system. Background Art

[0002] The energy storage system stores energy and releases it when needed. The core of the energy storage system is the battery. If the battery is in a high temperature environment, a low temperature environment, or an environment with a large temperature difference for a long time, it will affect the life and performance of the battery. Therefore, the energy storage system often uses a special temperature control device to adjust the temperature of the battery to a suitable temperature. At present, the energy storage system usually uses a liquid cooler as a temperature control device. The liquid cooler absorbs and transfers heat through a flowing liquid medium, such as water or coolant. The liquid medium can directly contact the battery, which can effectively reduce or increase the temperature.

[0003] However, the liquid cooler has the problem of high energy consumption during the temperature adjustment process. Summary of the invention

[0004] Based on this, it is necessary to provide a control method, device, computer equipment, medium and product for an energy storage system that can reduce energy consumption in response to the above technical problems.

[0005] In a first aspect, the present application provides a control method for an energy storage system, comprising:

[0006] Obtaining a correspondence between a state combination and a temperature parameter value combination of an energy storage system; the state combination includes a seasonal mode and a battery operating state; the temperature parameter value combination includes temperature parameter values ​​corresponding to a battery temperature parameter and a liquid cooler temperature parameter, respectively, so that the liquid cooler of the energy storage system is in a low energy consumption state under the state combination corresponding to the temperature parameter value combination;

[0007] According to the seasonal mode to which the current ambient temperature value of the energy storage system belongs and the current battery operating state, a current state combination of the energy storage system is formed;

[0008] Determine a temperature parameter value combination currently applicable to the energy storage system according to the current state combination of the energy storage system and the corresponding relationship;

[0009] The liquid cooler is controlled based on a combination of temperature parameter values ​​currently applicable to the energy storage system.

[0010] In a second aspect, the present application also provides a control device for an energy storage system, comprising:

[0011] An acquisition module is used to acquire a corresponding relationship between a state combination of an energy storage system and a temperature parameter value combination; the state combination includes a seasonal mode and a battery operating state; the temperature parameter value combination includes temperature parameter values ​​corresponding to a battery temperature parameter and a liquid cooler temperature parameter, respectively, so that the liquid cooler of the energy storage system is in a low energy consumption state under the state combination corresponding to the temperature parameter value combination;

[0012] A determination module, used to form a current state combination of the energy storage system according to the seasonal mode to which the current ambient temperature value of the energy storage system belongs and the current battery operating state; and determine a temperature parameter value combination currently applicable to the energy storage system according to the current state combination of the energy storage system and the corresponding relationship;

[0013] A control module is used to control the liquid cooler based on a combination of temperature parameter values ​​currently applicable to the energy storage system.

[0014] In a third aspect, the present application further provides a computer device, including a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the following steps are implemented:

[0015] Obtaining a correspondence between a state combination and a temperature parameter value combination of an energy storage system; the state combination includes a seasonal mode and a battery operating state; the temperature parameter value combination includes temperature parameter values ​​corresponding to a battery temperature parameter and a liquid cooler temperature parameter, respectively, so that the liquid cooler of the energy storage system is in a low energy consumption state under the state combination corresponding to the temperature parameter value combination;

[0016] According to the seasonal mode to which the current ambient temperature value of the energy storage system belongs and the current battery operating state, a current state combination of the energy storage system is formed;

[0017] Determine a temperature parameter value combination currently applicable to the energy storage system according to the current state combination of the energy storage system and the corresponding relationship;

[0018] The liquid cooler is controlled based on a combination of temperature parameter values ​​currently applicable to the energy storage system.

[0019] In a fourth aspect, the present application further provides a computer-readable storage medium having a computer program stored thereon, wherein when the computer program is executed by a processor, the following steps are implemented:

[0020] Obtaining a correspondence between a state combination and a temperature parameter value combination of an energy storage system; the state combination includes a seasonal mode and a battery operating state; the temperature parameter value combination includes temperature parameter values ​​corresponding to a battery temperature parameter and a liquid cooler temperature parameter, respectively, so that the liquid cooler of the energy storage system is in a low energy consumption state under the state combination corresponding to the temperature parameter value combination;

[0021] According to the seasonal mode to which the current ambient temperature value of the energy storage system belongs and the current battery operating state, a current state combination of the energy storage system is formed;

[0022] Determine a temperature parameter value combination currently applicable to the energy storage system according to the current state combination of the energy storage system and the corresponding relationship;

[0023] The liquid cooler is controlled based on a combination of temperature parameter values ​​currently applicable to the energy storage system.

[0024] In a fifth aspect, the present application further provides a computer program product, including a computer program, which implements the following steps when executed by a processor:

[0025] Obtaining a correspondence between a state combination and a temperature parameter value combination of an energy storage system; the state combination includes a seasonal mode and a battery operating state; the temperature parameter value combination includes temperature parameter values ​​corresponding to a battery temperature parameter and a liquid cooler temperature parameter, respectively, so that the liquid cooler of the energy storage system is in a low energy consumption state under the state combination corresponding to the temperature parameter value combination;

[0026] According to the seasonal mode to which the current ambient temperature value of the energy storage system belongs and the current battery operating state, a current state combination of the energy storage system is formed;

[0027] Determine a temperature parameter value combination currently applicable to the energy storage system according to the current state combination of the energy storage system and the corresponding relationship;

[0028] The liquid cooler is controlled based on a combination of temperature parameter values ​​currently applicable to the energy storage system.

[0029] In the control method, device, computer equipment, medium and product of the above-mentioned energy storage system, the temperature parameter value combination includes a battery temperature parameter and a liquid cooler temperature parameter, so that the liquid cooler of the energy storage system is in a low energy consumption state under the state combination corresponding to the temperature parameter value combination. When the liquid cooler is controlled based on the temperature parameter value combination, the battery temperature can be adjusted, and at the same time, the energy consumption of the liquid cooler can be reduced; and, according to the seasonal mode to which the current ambient temperature value of the energy storage system belongs and the current battery operating state, the current state combination of the energy storage system is formed. Since there is a corresponding relationship between the state combination and the temperature parameter value combination, according to the current state combination and the corresponding relationship, the currently applicable temperature parameter value combination of the energy storage system that matches the current state combination can be more accurately determined, and the liquid cooler is controlled based on the currently applicable temperature parameter value combination, thereby improving the accuracy of temperature adjustment of the liquid cooler and reducing the energy consumption of the liquid cooler. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] In order to more clearly illustrate the technical solutions in the embodiments of the present application or related technologies, the drawings required for use in the embodiments of the present application or related technical descriptions will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying creative work.

[0031] Figure 1 An application environment diagram of a control method for an energy storage system in one embodiment;

[0032] Figure 2 A schematic diagram of a flow chart of a control method for an energy storage system in one embodiment;

[0033] Figure 3 A specific application environment diagram of a control method for an energy storage system in one embodiment;

[0034] Figure 4 is a structural block diagram of a control device for an energy storage system in one embodiment;

[0035] Figure 5 FIG. 4 is a diagram showing the internal structure of a computer device in one embodiment. DETAILED DESCRIPTION

[0036] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0037] The control method of the energy storage system provided in the embodiment of the present application can be applied to Figure 1In the application environment shown. Among them, the terminal 102 communicates with the server 104 through the network. The data storage system can store the data that the server 104 needs to process. The data storage system can be integrated on the server 104, or it can be placed on the cloud or other network servers. The terminal 102 can obtain the corresponding relationship between the state combination and the temperature parameter combination of the energy storage system from the server 104, and form the current state combination of the energy storage system according to the seasonal mode to which the current ambient temperature value of the energy storage system belongs and the current battery operation state. According to the current state combination and the corresponding relationship of the energy storage system, the temperature parameter value combination currently applicable to the energy storage system is determined, and the liquid chiller is controlled based on the temperature parameter value combination currently applicable to the energy storage system. Among them, the terminal 102 can be a personal computer, a laptop, a smart phone, a tablet computer and an industrial computer. The industrial computer can be an industrial computer with an ARM (Advanced RISC Machines, Advanced Reduced Instruction Set Machine) architecture. In some scenarios, the industrial computer can also be called a local controller. The server 104 can be an independent physical server, a server cluster or a distributed system composed of multiple physical servers, or a cloud server that provides cloud computing services. The cloud server can also be called a cloud.

[0038] In an exemplary embodiment, Figure 2 As shown, a control method for an energy storage system is provided, and the method is applied to Figure 1 The terminal 102 in the example is used as an example to illustrate, including the following steps 202 to 208. Among them:

[0039] Step 202, obtaining the correspondence between the state combination and the temperature parameter value combination of the energy storage system; the state combination includes the seasonal mode and the battery operating state; the temperature parameter value combination includes the temperature parameter values ​​corresponding to the battery temperature parameter and the liquid cooler temperature parameter, so that the liquid cooler of the energy storage system is in a low energy consumption state under the state combination corresponding to the temperature parameter value combination.

[0040] Among them, the energy storage system is a system for storing and releasing energy. Energy storage systems include energy storage power stations, energy storage cabinets, energy storage containers or others. The energy storage system may include batteries, liquid coolers, and terminals. The battery may be a single cell or a battery pack including multiple single cells. The liquid cooler is used to perform heat exchange with the battery through a liquid medium to adjust the temperature of the battery in the energy storage system. The liquid cooler may include multiple components, such as a water supply pump, a compressor, a fan, a heating pipe, and others. The liquid cooler may also be called a liquid cooling unit.

[0041] The seasonal mode is a mode formed in each season corresponding to the environment in which the energy storage device is located. For example, the seasonal mode may include three modes, specifically spring mode, summer mode and winter mode, wherein the spring mode may also be called autumn mode, or spring and autumn mode. Each seasonal mode may correspond to a preset range of ambient temperature values. For example, the ambient temperature ranges corresponding to the spring mode, summer mode and winter mode are 15°C to 26°C, 27°C to 60°C and -30°C to 15°C, respectively. The ambient temperature value range corresponding to the seasonal mode may be set according to the historical weather data of the environment in which the energy storage device is located. The historical weather data may be the temperature data within a historical time period, such as the temperature data for each day in the past year. The historical weather data may be obtained through cloud networking.

[0042] The battery operating state is the operating state of the battery in the energy storage system. The battery operating state can include charging state, discharging state and static state. Different state combinations are formed by combining different seasonal modes and different battery operating states. For example, the state combination can be spring mode and charging state. When there are 3 seasonal modes and 3 battery operating states, 9 state combinations can be formed.

[0043] The battery temperature parameters may include the maximum battery temperature, the minimum battery temperature, the average battery temperature, the battery temperature difference or others. The maximum battery temperature is the highest temperature of the battery in the battery pack under the corresponding state combination, and may be the highest temperature of a single battery in the battery pack within a period of time under the corresponding state combination. The minimum battery temperature is the lowest temperature of the battery in the battery pack under the corresponding state combination, and may be the lowest temperature of a single battery in the battery pack within a period of time under the corresponding state combination. The average battery temperature is the real-time average temperature of each battery in the battery pack under the corresponding state combination. The battery temperature difference is the real-time temperature difference of each battery in the battery pack under the corresponding state combination, that is, the difference between the highest temperature and the lowest temperature in the real-time temperature of each battery in the battery pack. The liquid cooler temperature parameter may be the liquid outlet temperature of the cooler, that is, the temperature of the liquid output by the liquid cooler. The temperature parameter value may be a specific value of the temperature parameter, for example, the temperature parameter value of the maximum battery temperature may be 30°C.

[0044] The corresponding relationship between the state combination and the temperature parameter value combination indicates that each state combination in different state combinations corresponds to a temperature parameter value combination. For example, the state combination formed by the spring mode and the charging state may correspond to a temperature parameter value combination of 32°C (highest battery temperature), 15°C (lowest battery temperature), 26°C (average battery temperature), 5°C (battery temperature difference) and 24°C (liquid cooler temperature parameter).

[0045] The low energy consumption state is a state with low energy loss. When the liquid cooler of the energy storage system is in one of the state combinations, the liquid cooler is controlled based on the temperature parameter value combination corresponding to the one of the state combinations, so that the liquid cooler is in the low energy consumption state.

[0046] In one embodiment, when the current state combination of the energy storage system is updated, the terminal may execute the step of acquiring the corresponding relationship between the state combination of the energy storage system and the temperature parameter value combination.

[0047] In one embodiment, the terminal may obtain a pre-stored correspondence between a state combination of the energy storage system and a temperature parameter value combination, wherein the pre-stored correspondence may be generated by the terminal or obtained by the terminal from the cloud.

[0048] In one embodiment, the correspondence between the state combination and the temperature parameter value combination of the energy storage system can be generated by the step of determining the temperature parameter combination corresponding to each of the different state combinations, the step comprising: for each state combination, the terminal can obtain the energy consumption measurement value obtained by measuring the energy consumption of the liquid cooler when the energy storage system is in the state combination and the liquid cooler is controlled based on multiple preset temperature parameter value combinations corresponding to the state combination, determine the minimum energy consumption measurement value among the energy consumption measurement values ​​corresponding one-to-one to the multiple preset temperature parameter value combinations, and determine the preset temperature parameter value combination corresponding to the minimum energy consumption measurement value as the temperature parameter value combination corresponding to the state combination.

[0049] Among them, the energy storage system may be equipped with an electric meter, and the energy consumption of the liquid cooler may be measured by the electric meter. The preset temperature parameter value combination includes pre-set temperature parameter values ​​for the battery temperature parameter and the liquid cooler temperature parameter. The energy consumption measurement value corresponding to each preset temperature parameter value combination may be obtained by measuring during the internal test of the energy storage device, or may be obtained by measuring during the actual use of the energy storage device in historical time. The energy consumption measurement value corresponding to the preset temperature parameter value may characterize the energy consumption of the liquid cooler during the control of the liquid cooler based on the corresponding preset temperature parameter value during the start time to the end time of the corresponding state combination. The start time to the end time of the state combination may be the start time to the end time of the battery operating state in the state combination, for example, charging starts at 9:00 and ends at 10:00.

[0050] Step 204 , forming a current state combination of the energy storage system according to the seasonal mode to which the current ambient temperature value of the energy storage system belongs and the current battery operating state.

[0051] The current ambient temperature value of the energy storage system may be a real-time ambient temperature value or the highest and lowest ambient temperature values ​​in the current cycle. For example, the cycle may be one day, and the current ambient temperature value may be the highest and lowest ambient temperature values ​​of the energy storage system today. The current battery operating status is the real-time operating status of the battery in the energy storage system.

[0052] In one embodiment, the terminal may obtain preset ambient temperature value ranges corresponding to multiple preset seasonal modes, and determine the seasonal mode to which the current ambient temperature value of the energy storage system belongs according to the preset ambient temperature value range to which the current ambient temperature value of the energy storage system belongs.

[0053] In one embodiment, the terminal may combine the seasonal mode to which the current ambient temperature value of the energy storage system belongs and the current battery operating state to form a current state combination of the energy storage system.

[0054] Step 206: Determine a temperature parameter value combination currently applicable to the energy storage system according to the current state combination and corresponding relationship of the energy storage system.

[0055] In one embodiment, the terminal can determine a state combination that is the same as the current state combination of the energy storage system from multiple state combinations in the corresponding relationship, and determine the temperature parameter value combination corresponding to the determined state combination in the corresponding relationship as the temperature parameter value combination currently applicable to the energy storage system.

[0056] Step 208: Control the liquid cooler based on the current combination of temperature parameter values ​​applicable to the energy storage system.

[0057] In one embodiment, the terminal may control the liquid cooler based on the temperature parameter value combination currently applicable to the energy storage system and the temperature parameter values ​​corresponding to the battery temperature parameters and the liquid cooler temperature parameters of the energy storage system, respectively, so that the temperature parameter values ​​corresponding to the battery temperature parameters and the liquid cooler temperature parameters of the energy storage system, respectively, match the corresponding temperature parameter values ​​in the currently applicable temperature parameter value combination.

[0058] In one embodiment, the battery temperature parameter may include multiple battery temperature sub-parameters, among which the terminal may determine the target battery temperature sub-parameter preconfigured for the season mode to which the current ambient temperature value belongs, and control the liquid cooler according to the temperature parameter values ​​of the target battery temperature sub-parameter and the liquid cooler temperature parameter in the temperature parameter value combination currently applicable to the energy storage system, and the temperature parameter values ​​corresponding to the target battery temperature sub-parameter and the liquid cooler temperature parameter of the energy storage system. Among them, the multiple battery temperature sub-parameters may include the maximum battery temperature, the minimum battery temperature, the average battery temperature, the battery temperature difference or others. In the case where the season mode includes the spring and autumn mode, the summer mode and the winter mode, the target battery temperature sub-parameter preconfigured for the spring and autumn mode may be the battery temperature difference, the target battery temperature sub-parameter preconfigured for the summer mode may be the maximum battery temperature and the average battery temperature, and the target battery temperature sub-parameter preconfigured for the winter mode may be the minimum battery temperature and the average battery temperature.

[0059] In one embodiment, when the temperature parameter value corresponding to the target battery temperature sub-parameter of the energy storage system currently meets the preset condition corresponding to the target battery temperature sub-parameter and the temperature parameter value of the target battery temperature sub-parameter in the currently applicable temperature parameter value combination, the terminal can control the liquid cooler to enable the self-circulation mode, and after a preset time, re-acquire the temperature parameter value corresponding to the current liquid cooler temperature parameter of the energy storage system, and further control the liquid cooler according to the re-acquired temperature parameter value corresponding to the current liquid cooler temperature parameter and the temperature parameter value corresponding to the liquid cooler temperature parameter in the currently applicable temperature parameter value combination. Among them, the self-circulation mode is a low-energy mode for adjusting temperature.

[0060] For example, when controlling the liquid cooler, if the season mode to which the current ambient temperature value belongs is the spring and autumn mode, when the temperature parameter value of the current battery temperature difference of the energy storage device is greater than the temperature parameter value of the battery temperature difference in the currently applicable temperature parameter value combination, the liquid cooler is controlled to enable the self-circulation mode; if the season mode to which the current ambient temperature value belongs is the summer mode, when the temperature parameter value of the current maximum battery temperature of the energy storage device and the temperature parameter value of the current average battery temperature are respectively higher than the corresponding temperature parameter values ​​in the currently applicable temperature parameter value combination, the liquid cooler is controlled to enable the self-circulation mode; if the season mode to which the current ambient temperature value belongs is the winter mode, when the temperature parameter value of the current minimum battery temperature of the energy storage device and the temperature parameter value of the current average battery temperature are respectively lower than the corresponding temperature parameter values ​​in the currently applicable temperature parameter value combination, the liquid cooler is controlled to enable the self-circulation mode;

[0061] After the preset self-circulation time, when the re-acquired temperature parameter value of the current liquid cooler temperature is higher than the temperature parameter value of the liquid cooler temperature in the currently applicable temperature parameter value combination, the liquid cooler is controlled to cool; when the re-acquired temperature parameter value of the current liquid cooler temperature is lower than the temperature parameter value of the liquid cooler temperature in the currently applicable temperature parameter value combination, the liquid cooler is controlled to heat.

[0062] In the control method of the above energy storage system, the temperature parameter value combination includes a battery temperature parameter and a liquid cooler temperature parameter, so that the liquid cooler of the energy storage system is in a low energy consumption state under the state combination corresponding to the temperature parameter value combination. When the liquid cooler is controlled based on the temperature parameter value combination, the battery temperature can be adjusted, and at the same time, the energy consumption of the liquid cooler can be reduced; and, according to the seasonal mode to which the current ambient temperature value of the energy storage system belongs and the current battery operating state, the current state combination of the energy storage system is formed. Since there is a corresponding relationship between the state combination and the temperature parameter value combination, according to the current state combination and the corresponding relationship, the currently applicable temperature parameter value combination of the energy storage system that matches the current state combination can be more accurately determined, and the liquid cooler is controlled based on the currently applicable temperature parameter value combination, thereby improving the accuracy of the temperature adjustment of the liquid cooler and reducing the energy consumption of the liquid cooler.

[0063] In one embodiment, before step 202, the control method of the energy storage system further includes the step of determining temperature parameter combinations corresponding to different state combinations, the step including: obtaining fitting equations under different state combinations; the fitting equations use battery temperature parameters and liquid cooler temperature parameters as independent variables, and use the energy consumption of the liquid cooler as a dependent variable; enumerating temperature parameter values ​​of the battery temperature parameters and the liquid cooler temperature parameters to form different temperature parameter value enumeration combinations; for each state combination, substituting different temperature parameter value enumeration combinations into the fitting equations under the state combination to obtain energy consumption values ​​corresponding to different temperature parameter value enumeration combinations; and determining the temperature parameter value enumeration combination corresponding to the minimum energy consumption value as the temperature parameter value combination corresponding to the state combination.

[0064] Among them, the above-mentioned step of determining the temperature parameter combination corresponding to each of the different state combinations can be performed by the cloud or the terminal. The fitting relationship is a relationship formed by fitting the energy consumption measurement value actually measured for the liquid cooler and the preset temperature parameter value combination corresponding to the energy consumption measurement value. Enumerating the temperature parameter values ​​of the battery temperature parameter and the liquid cooler temperature parameter is to exhaustively enumerate the possible temperature parameter values ​​of the battery temperature parameter and the liquid cooler temperature parameter respectively. The possible temperature parameter values ​​can be natural numbers within a preset value range. For example, the preset value range can be 10 to 35. Different temperature parameter value enumeration combinations are different combinations of the enumerated temperature parameter values ​​of the battery temperature parameters and the enumerated temperature parameter values ​​of the liquid cooler temperature parameters. There is at least one different temperature parameter value between any two temperature parameter value enumeration combinations.

[0065] When different temperature parameter value enumeration combinations are substituted into the fitting relationship under the state combination, each temperature parameter value in each temperature parameter value enumeration combination is substituted into the corresponding variable of the temperature parameter value in the fitting relationship. After obtaining the energy consumption values ​​corresponding to different temperature parameter value enumeration combinations, the energy consumption values ​​can be compared to determine the minimum energy consumption value under the targeted state combination, and the temperature parameter value enumeration combination corresponding to the minimum energy consumption value is determined as the temperature parameter value combination corresponding to the targeted state combination.

[0066] In this embodiment, by obtaining fitting equations under different state combinations, it is possible to obtain equations for determining the relationship between the energy consumption of the liquid cooler and the battery temperature parameters and the liquid cooler temperature parameters. Furthermore, by forming different temperature parameter value enumeration combinations and substituting them into the fitting equations under the state combinations, it is possible to obtain the energy consumption values ​​corresponding to the different temperature parameter value enumeration combinations by mathematical operations. There is no need to measure the corresponding actual energy consumption values ​​for the different temperature parameter value enumeration combinations. While saving resources, a more accurate energy consumption value can be obtained to a certain extent. Furthermore, the temperature parameter value enumeration combination corresponding to the minimum energy consumption value is determined as the temperature parameter value combination corresponding to the state combination. The temperature parameter value combination is implemented so that the liquid cooler of the energy storage system is in a low energy consumption state under the state combination corresponding to the temperature parameter value combination, creating conditions for subsequently reducing the energy consumption of the liquid cooler.

[0067] In one embodiment, after determining the temperature parameter value combination corresponding to each state combination, the cloud can generate a correspondence between the state combination and the temperature parameter value combination, and send the correspondence to the terminal in the energy storage system, and the terminal executes the above steps 202 to 208.

[0068] In this embodiment, the correspondence between the state combination and the temperature parameter value combination is generated in the cloud, and the terminal in the energy storage system stores the correspondence and controls the liquid cooler. Compared with the traditional method of controlling the liquid cooler through the temperature control system of the liquid cooler, the energy consumption of the liquid cooler can be reduced. Specifically, since the temperature control system of the liquid cooler has large inertia and hysteresis, and the energy storage system has unidirectionality when heating up, it is difficult to establish an accurate mathematical model in the temperature control system of the liquid cooler, resulting in poor adaptability of the liquid cooler to the temperature regulation requirements in the energy storage system, and the liquid cooler is out of the energy storage system. The actual temperature regulation demand of the system is run, which consumes energy but does not meet the actual temperature regulation demand, resulting in high energy consumption. This embodiment generates a correspondence between state combinations and temperature parameter value combinations, taking into account the seasonal mode corresponding to the ambient temperature of the energy storage system and the actual battery operation state. When the state combination is different, different temperature parameter value combinations can be corresponded. Therefore, when the liquid cooler is controlled based on the temperature parameter value combination, the actual temperature regulation demand of the energy storage system can be met, the energy consumption of the liquid cooler can be reduced, and the corresponding relationship can be generated with the help of the computing power of the cloud, which can reduce the energy consumption of the energy storage system.

[0069] In one embodiment, before the step of obtaining the fitting relationship under different state combinations, the step of constructing the fitting relationship under different state combinations is also included, and the step includes: for each state combination, obtaining the energy consumption measurement value obtained by measuring the energy consumption of the liquid cooler when the energy storage system is in the state combination and the liquid cooler is controlled based on the corresponding multiple preset temperature parameter value combinations; based on multiple preset temperature value combinations and their corresponding energy consumption measurement values, constructing a fitting relationship under the state combination with the battery temperature parameter and the liquid cooler temperature parameter as independent variables and the energy consumption as the dependent variable.

[0070] Among them, the above-mentioned step of constructing the fitting relationship under different state combinations can be performed by the cloud or the terminal. The multiple preset temperature parameter value combinations can be a limited number of preset temperature parameter value combinations, for example, 5, 10 or others. The multiple preset temperature parameter value combinations corresponding to different state combinations can be the same or different. The preset temperature parameter value combination includes pre-set temperature parameter values ​​for the battery temperature parameter and the liquid cooler temperature parameter.

[0071] In this embodiment, by using a limited number of preset temperature parameter value combinations and actual measured energy consumption values, there is no need to measure the corresponding actual energy consumption values ​​for different temperature parameter value enumeration combinations. While saving resources, a fitting relationship can be constructed more accurately. On this basis, the energy consumption values ​​corresponding to the different temperature parameter value enumeration combinations obtained in subsequent steps have a certain degree of accuracy, creating conditions for subsequently reducing the energy consumption of the liquid cooler.

[0072] In one embodiment, the cloud can perform regression analysis based on multiple preset temperature value combinations and their corresponding energy consumption measurement values ​​to construct a fitting relationship under the targeted state combination with the battery temperature parameter and the liquid cooler temperature parameter as independent variables and the energy consumption as the dependent variable. The regression analysis can be a multiple regression analysis, specifically a multiple linear regression analysis or a multiple nonlinear regression analysis.

[0073] In one embodiment, before step 204, the control method of the energy storage system further includes: receiving a charge and discharge plan generated by the cloud for the energy storage system, the charge and discharge plan including a time period for charging and a time period for discharging a battery of the energy storage system within a cycle; and controlling the battery according to the charge and discharge plan.

[0074] The cycle can be one day or one week. The battery is controlled according to the charge and discharge plan, specifically, in each cycle, the battery is charged according to the charging time period in the charge and discharge plan, and the battery is discharged according to the discharging time period. When the battery is charged or discharged, it can be fully charged or fully discharged, and it can also be charged according to the charging amount specified in the charge and discharge plan, and discharged according to the specified discharging amount. It can be understood that the charge and discharge plan can only set the charging or discharging time period within one cycle, and no charging or discharging time period is set within the cycle, and the battery can be in a static state.

[0075] In this embodiment, the terminal of the energy storage system can receive the charging and discharging plan generated by the cloud, and control the battery according to the charging and discharging plan, so that the charging and discharging of the battery in the energy storage system can be uniformly controlled by the cloud, which facilitates the unified regulation and management of the energy storage system.

[0076] In one embodiment, before the step of receiving the charging and discharging plan generated by the cloud for the energy storage system, the control method of the above-mentioned energy storage system also includes a charging and discharging plan generating step, which includes: determining the electricity cost time-sharing strategy corresponding to the location of the energy storage system, the electricity cost time-sharing strategy including different levels of time periods within a cycle and the electricity costs corresponding to each level of time period; obtaining the charging time of a battery for one charge and the discharge time for one discharge; determining a first time period within a cycle for planning to control battery charging according to the charging time and the level time period with the lowest electricity cost, and determining a second time period within a cycle for planning to control battery discharge according to the discharge time and the level time period with the highest electricity cost; generating a charging and discharging plan corresponding to the energy storage system based on the first time period and the second time period.

[0077] Among them, the above-mentioned charging and discharging plan generation step can be executed by the cloud or the terminal. The location of the energy storage system is the geographical location of the energy storage system, which can be specifically a location divided according to the formation area, for example, it can be the province, city or county where the energy storage system is located. The electricity cost time-sharing strategy is a strategy in which different levels of time periods within a cycle correspond to different electricity costs. The charging time for a charge is the length of time it takes to fully charge the energy storage battery. The discharge time for a discharge is the length of time it takes to discharge the energy storage battery.

[0078] In this embodiment, a first time period for controlling battery charging within a cycle is determined based on the charging time and the time period with the lowest electricity cost. That is, the battery is charged during the time period with the lowest electricity cost, and the charging cost is low. A second time period for controlling battery discharging within a cycle is determined based on the discharging time and the time period with the highest electricity cost. That is, the battery is discharged during the time period with the highest electricity cost. When users use the electricity provided by the energy storage device, the electricity cost is high. Compared with the charging cost, the discharging benefit of the energy storage device is high, so that the overall electricity benefit of the energy storage device can be large.

[0079] In one embodiment, when the electricity cost time-sharing strategy corresponding to the location of the energy storage system changes, the changed electricity cost time-sharing strategy corresponding to the location of the energy storage system can be determined to generate a new charging and discharging plan. In this embodiment, whenever the electricity cost time-sharing strategy changes, a new charging and discharging plan is generated, and the charging and discharging plan can be dynamically updated to ensure the overall electricity consumption benefits of the energy storage equipment. When the electricity cost time-sharing strategy changes, it can be updated in different levels of time periods, or the electricity cost corresponding to each level of time period can be updated, or both can be updated.

[0080] In one embodiment, different level time periods include a first level time period, a second level time period, a third level time period and a fourth level time period corresponding to decreasing electricity costs; the steps of determining a first time period for planning to control battery charging within a cycle according to the charging time and the level time period with the lowest electricity cost, and determining a second time period for planning to control battery discharging within a cycle according to the discharging time and the level time period with the highest electricity cost include: when the charging time is greater than the fourth level time period, determining a first time period for planning to control battery charging within each cycle that matches the charging time according to the fourth level time period and the third level time period adjacent to the fourth level time period; when the discharge time is greater than the first level time period, determining a second time period for planning to control battery discharging within each cycle that matches the discharge time according to the first level time period and the second level time period adjacent to the first level time period.

[0081] Among them, in some scenarios, the first level time period, the second level time period, the third level time period and the fourth level time period can be respectively called the peak time period, the peak time period, the flat time period and the valley time period. In one cycle, each level time period can include one or more. The number of charging and discharging times in one cycle can be once or multiple times, for example, two charges and two discharges.

[0082] When the charging time is longer than the fourth-level time period, that is, if charging is performed in a fourth-level time period and the battery is not fully charged, the charging time can be supplemented by combining part or all of the third-level time periods adjacent to the fourth-level time period to fully charge the battery. The third-level time period adjacent to the fourth-level time period can be before or after the fourth-level time period. For example, the charging time can be 3 hours, a fourth-level time period can be from 03:00 to 05:00, and the third-level time period adjacent to the fourth-level time period can be from 05:00 to 07:00. Since the fourth-level time period is 2 hours, which is less than the 3 hours of charging time, the 1 hour continuous with the fourth-level time period (the difference between the charging time and the fourth-level time period) can be taken from the adjacent third-level time period to form the first time period, that is, the first time period can be from 03:00 to 06:00.

[0083] After generating the charging and discharging plan, the charging cost of the energy storage device can be calculated by combining the electricity cost and charging amount corresponding to the first time period and the level time period involved in the first time period. The discharge benefit of the energy storage device can be calculated by combining the electricity cost and discharge amount corresponding to the second time period and the level time period involved in the second time period. Then, the difference between the discharge benefit and the charging cost is calculated to obtain the overall electricity benefit of the energy storage device corresponding to the charging and discharging plan.

[0084] Collect the historical charging time periods, charging amounts, historical discharging time periods, and discharging amounts of energy storage devices in multiple historical cycles within a historical period, determine the overall electricity revenue of the historical cycle according to the electricity cost time-sharing strategy, and compare the overall electricity revenue of a historical cycle in which the charging or discharging amounts in multiple historical cycles are the same as the charging or discharging amounts in the generated charging and discharging plan with the overall electricity revenue of the generated charging and discharging plan to verify whether the generated charging and discharging plan has improved the overall electricity revenue compared with the historical cycle.

[0085] In this embodiment, when the charging time is longer than the length of the fourth-level time period, the charging time is supplemented by the adjacent third-level time period, so that charging can be performed at a lower electricity cost while meeting the charging goal. When the discharging time is longer than the length of the first-level time period, the discharging time is supplemented by the adjacent second-level time period, so that higher discharge benefits can be generated while meeting the discharge goal, thereby improving the overall electricity benefits.

[0086] In one embodiment, see Figure 3 The specific application environment diagram of the control method of the energy storage system shown in the figure, the energy storage system may include a local controller, a liquid cooler and a battery, and communicate with the cloud through the local controller to implement the control method of the above energy storage system. Based on this, the control method of the above energy storage system specifically includes the following steps.

[0087] The cloud can determine the electricity cost time-sharing strategy corresponding to the location of the energy storage system, obtain the charging time of the battery for one charge and the discharge time for one discharge, and determine the first time period for planning to control battery charging within a cycle based on the charging time and the time period with the lowest electricity cost. And determine the second time period for planning to control battery discharge within a cycle based on the discharge time and the time period with the highest electricity cost. Based on the first time period and the second time period, a charging and discharging plan corresponding to the energy storage system is generated, and the generated charging and discharging plan is sent to the local controller.

[0088] For each state combination, when the energy storage system is in the targeted state combination and in multiple preset ambient temperature values ​​that match the targeted state combination, the local controller can control the liquid cooler based on the corresponding multiple preset temperature parameter value combinations, and measure the energy consumption of the liquid cooler to obtain energy consumption measurement values ​​corresponding to the multiple preset temperature parameter value combinations under the targeted state combination. Among them, the multiple preset ambient temperature values ​​that match the targeted state combination are multiple preset ambient temperature values ​​belonging to the seasonal mode in the state combination. For example, in the spring mode, the multiple preset ambient temperature values ​​can be 15°C, 18°C, 20°C and others. The multiple preset ambient temperature values ​​and the multiple preset temperature parameter value combinations can correspond one to one.

[0089] For each state combination, the cloud can obtain the energy consumption measurement values ​​corresponding to the multiple preset temperature parameter value combinations corresponding to the targeted state combination from the local controller, and construct a fitting relationship under the targeted state combination with the battery temperature parameters and the liquid cooler temperature parameters as independent variables and energy consumption as the dependent variable based on the multiple preset temperature value combinations and the corresponding energy consumption measurement values, so as to obtain the fitting relationship under different state combinations.

[0090] The cloud can enumerate the temperature parameter values ​​of the battery temperature parameters and the liquid cooler temperature parameters to form different temperature parameter value enumeration combinations; for each state combination, the different temperature parameter value enumeration combinations are substituted into the fitting relationship under the state combination to obtain the energy consumption values ​​corresponding to the different temperature parameter value enumeration combinations; the temperature parameter value enumeration combination corresponding to the minimum energy consumption value is determined as the temperature parameter value combination corresponding to the state combination, and the corresponding relationship between the state combination and the temperature parameter value combination of the energy storage system is generated and sent to the local controller.

[0091] The local controller obtains the charging and discharging plan sent from the cloud, and controls the battery according to the charging and discharging plan to control the battery operating status; obtains the correspondence between the state combination of the energy storage system and the temperature parameter value combination; forms the current state combination of the energy storage system according to the seasonal mode to which the current ambient temperature value of the energy storage system belongs and the current battery operating status; determines the temperature parameter value combination currently applicable to the energy storage system according to the current state combination of the energy storage system and the corresponding relationship; and controls the liquid chiller based on the temperature parameter value combination currently applicable to the energy storage system.

[0092] It should be understood that, although the various steps in the flowcharts involved in the above-mentioned embodiments are displayed in sequence according to the indication of the arrows, these steps are not necessarily executed in sequence according to the order indicated by the arrows. Unless there is a clear explanation in this article, the execution of these steps does not have a strict order restriction, and these steps can be executed in other orders. Moreover, at least a part of the steps in the flowcharts involved in the above-mentioned embodiments can include multiple steps or multiple stages, and these steps or stages are not necessarily executed at the same time, but can be executed at different times, and the execution order of these steps or stages is not necessarily to be carried out in sequence, but can be executed in turn or alternately with other steps or at least a part of the steps or stages in other steps.

[0093] Based on the same inventive concept, the embodiment of the present application also provides a control device for an energy storage system for implementing the control method of the energy storage system involved above. The implementation scheme for solving the problem provided by the device is similar to the implementation scheme recorded in the above method, so the specific limitations in the embodiments of the control device for one or more energy storage systems provided below can refer to the limitations of the control method for the energy storage system above, and will not be repeated here.

[0094] In an exemplary embodiment, Figure 4 As shown, a control device 400 for an energy storage system is provided, comprising: an acquisition module 410, a determination module 420 and a control module 430, wherein:

[0095] The acquisition module 410 is used to acquire the corresponding relationship between the state combination and the temperature parameter value combination of the energy storage system; the state combination includes the seasonal mode and the battery operation state; the temperature parameter value combination includes the temperature parameter values ​​corresponding to the battery temperature parameter and the liquid cooler temperature parameter, so that the liquid cooler of the energy storage system is in a low energy consumption state under the state combination corresponding to the temperature parameter value combination;

[0096] The determination module 420 is used to form a current state combination of the energy storage system according to the seasonal mode to which the current ambient temperature value of the energy storage system belongs and the current battery operation state; and determine a temperature parameter value combination currently applicable to the energy storage system according to the current state combination and the corresponding relationship of the energy storage system;

[0097] The control module 430 is used to control the liquid cooler based on the combination of temperature parameter values ​​currently applicable to the energy storage system.

[0098] In one embodiment, the control device 400 of the energy storage system may include a data processing module, which can be used to obtain fitting equations under different state combinations; the fitting equation takes the battery temperature parameter and the liquid cooler temperature parameter as independent variables, and takes the energy consumption of the liquid cooler as the dependent variable; the temperature parameter values ​​of the battery temperature parameter and the liquid cooler temperature parameter are enumerated to form different temperature parameter value enumeration combinations; for each state combination, different temperature parameter value enumeration combinations are substituted into the fitting equation under the state combination to obtain energy consumption values ​​corresponding to different temperature parameter value enumeration combinations; the temperature parameter value enumeration combination corresponding to the minimum energy consumption value is determined as the temperature parameter value combination corresponding to the state combination.

[0099] In one embodiment, the data processing module can also be used to obtain, for each state combination, an energy consumption measurement value obtained by measuring the energy consumption of the liquid cooler when the energy storage system is in the state combination and controlling the liquid cooler based on the corresponding multiple preset temperature parameter value combinations; based on multiple preset temperature value combinations and their corresponding energy consumption measurement values, construct a fitting relationship under the state combination with the battery temperature parameters and the liquid cooler temperature parameters as independent variables and energy consumption as the dependent variable.

[0100] In one embodiment, the acquisition module 410 can also be used to receive a charge and discharge plan generated by the cloud for the energy storage system, wherein the charge and discharge plan includes a time period for charging and a time period for discharging the battery of the energy storage system within a cycle; the control module 430 can also be used to control the battery according to the charge and discharge plan.

[0101] In one embodiment, the data processing module can also be used to determine the electricity cost time-sharing strategy corresponding to the location of the energy storage system, the electricity cost time-sharing strategy includes different levels of time periods within a cycle and the electricity costs corresponding to each level of time period; obtain the charging time of the battery for one charge and the discharge time for one discharge; determine the first time period for planning to control battery charging within a cycle based on the charging time and the level time period with the lowest electricity cost, and determine the second time period for planning to control battery discharge within a cycle based on the discharge time and the level time period with the highest electricity cost; based on the first time period and the second time period, generate a charging and discharging plan corresponding to the energy storage system.

[0102] In one embodiment, different level time periods include a first level time period, a second level time period, a third level time period and a fourth level time period with decreasing electricity cost in sequence; the data processing module can also be used to determine, when the charging duration is greater than the fourth level time period, a first time period for planning to control battery charging in each cycle that matches the charging duration according to the fourth level time period and the third level time period adjacent to the fourth level time period; when the discharge duration is greater than the first level time period, a second time period for planning to control battery discharge in each cycle that matches the discharge duration according to the first level time period and the second level time period adjacent to the first level time period.

[0103] Each module in the control device of the above energy storage system can be implemented in whole or in part by software, hardware and a combination thereof. Each module can be embedded in or independent of the processor in the computer device in the form of hardware, or can be stored in the memory of the computer device in the form of software, so that the processor can call and execute the operations corresponding to each module above.

[0104] In an exemplary embodiment, a computer device is provided. The computer device may be a terminal, and its internal structure diagram may be as shown in FIG. Figure 5As shown. The computer device includes a processor, a memory, an input / output interface, a communication interface, a display unit and an input device. The processor, the memory and the input / output interface are connected through a system bus, and the communication interface, the display unit and the input device are connected to the system bus through the input / output interface. 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 input / output interface of the computer device is used to exchange information between the processor and the external device. The communication interface of the computer device is used to communicate with an external terminal in a wired or wireless manner, and the wireless manner can be implemented through WIFI, a mobile cellular network, near field communication (Near Field Communication, NFC) or other technologies. When the computer program is executed by the processor, a control method of an energy storage system is implemented. The display unit of the computer device is used to form a visually visible picture, which can be a display screen, a projection device or a virtual reality imaging device. The display screen can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer device can be a touch layer covering the display screen, or a button, trackball or touchpad set on the computer device shell, or an external keyboard, touchpad or mouse.

[0105] Those skilled in the art will understand that Figure 5 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0106] In one embodiment, a computer device is further provided, including a memory and a processor, wherein a computer program is stored in the memory, and the processor implements the steps in the above method embodiments when executing the computer program.

[0107] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the steps in the above-mentioned method embodiments are implemented.

[0108] In one embodiment, a computer program product is provided, including a computer program, which implements the steps in the above method embodiments when executed by a processor.

[0109] A person of ordinary skill in the art can understand that all or part of the processes in the above-mentioned embodiment method can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to the memory, database or other medium used in the embodiments provided in the present application can include at least one of non-volatile memory and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. As an illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The database involved in each embodiment provided in this application may include at least one of a relational database and a non-relational database. Non-relational databases may include distributed databases based on blockchains, etc., but are not limited to this. The processor involved in each embodiment provided in this application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, an artificial intelligence (AI) processor, etc., but are not limited to this.

[0110] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this application.

[0111] The above-described embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the present application. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the attached claims.

Claims

1. A control method for an energy storage system, characterized in that: The method comprises: For each state combination under different state combinations of the energy storage system, obtain an energy consumption measurement value obtained by measuring the energy consumption of the liquid cooler when the energy storage system is in the state combination and the liquid cooler of the energy storage system is controlled respectively based on the corresponding multiple preset temperature parameter value combinations, and construct a fitting relationship under the state combination with the battery temperature parameter and the liquid cooler temperature parameter as independent variables and the energy consumption as the dependent variable based on the multiple preset temperature parameter value combinations and the energy consumption measurement values ​​corresponding to each of the multiple preset temperature parameter value combinations; the state combination includes a seasonal mode and a battery operating state; Enumerate the temperature parameter values ​​of the battery temperature parameter and the liquid cooler temperature parameter to form different temperature parameter value enumeration combinations; For each state combination, different temperature parameter value enumeration combinations are substituted into the fitting relationship under the state combination to obtain energy consumption values ​​corresponding to different temperature parameter value enumeration combinations, and the temperature parameter value enumeration combination corresponding to the minimum energy consumption value is determined as the temperature parameter value combination corresponding to the state combination to obtain the corresponding relationship between the state combination and the temperature parameter value combination; According to the seasonal mode to which the current ambient temperature value of the energy storage system belongs and the current battery operating state, a current state combination of the energy storage system is formed; Determine the temperature parameter value combination currently applicable to the energy storage system according to the current state combination of the energy storage system and the correspondence between the different state combinations and the respective corresponding temperature parameter value combinations; The liquid cooler is controlled based on a combination of temperature parameter values ​​currently applicable to the energy storage system.

2. The method according to claim 1, characterized in that The method further comprises: Obtaining preset ambient temperature value ranges corresponding to multiple preset season modes; According to the preset ambient temperature value range to which the current ambient temperature value of the energy storage system belongs, the seasonal mode to which the current ambient temperature value of the energy storage system belongs is determined.

3. The method according to claim 1, characterized in that The battery temperature parameter includes a plurality of battery temperature sub-parameters, and the liquid cooler is controlled based on a combination of temperature parameter values ​​currently applicable to the energy storage system, including: Determine, among the plurality of battery temperature sub-parameters, a target battery temperature sub-parameter preconfigured for a season mode to which a current ambient temperature value belongs; The liquid cooler is controlled according to the respective temperature parameter values ​​of the target battery temperature sub-parameter and the liquid cooler temperature parameter in the temperature parameter value combination currently applicable to the energy storage system, and the temperature parameter values ​​of the energy storage system currently corresponding to the target battery temperature sub-parameter and the liquid cooler temperature parameter.

4. The method according to any one of claims 1 to 3, characterized in that: The method further comprises: Receiving a charging and discharging plan generated by the cloud for the energy storage system, the charging and discharging plan including a time period for charging and a time period for discharging a battery of the energy storage system within a cycle; The battery is controlled according to the charge and discharge plan.

5. The method according to claim 4, characterized in that The method further comprises: Determine a time-sharing strategy for electricity cost corresponding to the location of the energy storage system, wherein the time-sharing strategy for electricity cost includes different levels of time periods within a cycle and electricity costs corresponding to each level of time period; Obtaining a charging time for a charge and a discharging time for a discharge of the battery; Determine a first time period for controlling the charging of the battery within a cycle according to the charging time and the time period at the level with the lowest electricity cost, and determine a second time period for controlling the discharging of the battery within a cycle according to the discharging time and the time period at the level with the highest electricity cost; Based on the first time period and the second time period, a charging and discharging plan corresponding to the energy storage system is generated.

6. The method according to claim 5, characterized in that The different levels of time periods include a first level time period, a second level time period, a third level time period and a fourth level time period with decreasing electricity costs in sequence, and determining a first time period for planning to control charging of the battery within a cycle according to the charging time and the level time period with the lowest electricity cost, and determining a second time period for planning to control discharging of the battery within a cycle according to the discharging time and the level time period with the highest electricity cost, including: When the charging duration is greater than the duration of the fourth-level time period, determining, according to the fourth-level time period and the third-level time period adjacent to the fourth-level time period, a first time period in each cycle that matches the charging duration and is planned to control charging of the battery; When the discharge duration is greater than the first-level time period, a second time period for controlling the battery to discharge is determined in each cycle that matches the discharge duration based on the first-level time period and a second-level time period adjacent to the first-level time period.

7. A control device for an energy storage system, characterized in that: The device comprises: A data processing module, for each state combination under different state combinations of an energy storage system, obtains an energy consumption measurement value obtained by measuring the energy consumption of the liquid cooler when the energy storage system is in the state combination and the liquid cooler of the energy storage system is controlled based on the corresponding multiple preset temperature parameter value combinations, and constructs a fitting relationship under the state combination with the battery temperature parameter and the liquid cooler temperature parameter as independent variables and the energy consumption as the dependent variable based on the multiple preset temperature parameter value combinations and the energy consumption measurement values ​​corresponding to each of the multiple preset temperature parameter value combinations; the state combination includes a seasonal mode and a battery operating state; the temperature parameter values ​​of the battery temperature parameter and the liquid cooler temperature parameter are enumerated to form different temperature parameter value enumeration combinations; for each state combination, the different temperature parameter value enumeration combinations are substituted into the fitting relationship under the state combination to obtain the energy consumption values ​​corresponding to the different temperature parameter value enumeration combinations, and the temperature parameter value enumeration combination corresponding to the minimum energy consumption value is determined as the temperature parameter value combination corresponding to the state combination, and the corresponding relationship between the state combination and the temperature parameter value combination is obtained; A determination module, used to form a current state combination of the energy storage system according to the seasonal mode to which the current ambient temperature value of the energy storage system belongs and the current battery operating state; and to determine a temperature parameter value combination currently applicable to the energy storage system according to the current state combination of the energy storage system and the corresponding relationship between the different state combinations and the respective corresponding temperature parameter value combinations; A control module is used to control the liquid cooler based on a combination of temperature parameter values ​​currently applicable to the energy storage system.

8. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 6 are implemented.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

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