Energy storage system control management method, electronic equipment and storage medium

Abstract

The embodiment of the invention discloses an energy storage system control management method, electronic equipment and a storage medium. The energy storage system control management method comprises the steps of obtaining a working state, a battery aging degree, a battery temperature, charge information and current data of a sample energy storage battery in an energy storage system; constructing a first control strategy corresponding to the energy storage system according to the working state and the battery aging degree; based on the first control strategy, the battery temperature and the charge information, constructing a second control strategy corresponding to the energy storage system; constructing a third control strategy corresponding to the energy storage system according to the second control strategy, the battery temperature and the current data; according to the first control strategy, the second control strategy and the third control strategy, the energy storage system is controlled and managed, and according to the scheme, the accuracy of control and management of the energy storage system can be improved.

Description

Technical Field

[0001] This application relates to the technical field of energy storage batteries, and particularly to a control and management method for an energy storage system, an electronic device, and a storage medium. Background Art

[0002] The demand of the power system for peak shaving and valley filling regulation capabilities is increasing day by day. As an effective means to improve the flexibility and stability of the power system, lithium-ion battery energy storage technology is an important pillar for building a new energy storage space-time balance. However, the safety and performance of lithium-ion batteries are severely restricted by the battery temperature. Establishing an efficient and accurate battery thermal management control system for managing the battery temperature is crucial.

[0003] Currently, the control and management scheme of the energy storage system performs cooling, heating, or equalizing temperature control based on the battery temperature. However, in the actual management of the energy storage system, considering only a single dimension will result in poor accuracy of the control and management of the energy storage system. Summary of the Invention

[0004] Embodiments of this application provide a control and management method for an energy storage system, an electronic device, and a storage medium, which can improve the accuracy of the control and management of the energy storage system.

[0005] Embodiments of this application provide a control and management method for an energy storage system, including:

[0006] Obtain the working state, battery aging degree, battery temperature, charge information, and current data of the sample energy storage battery in the energy storage system;

[0007] Construct a first control strategy corresponding to the energy storage system according to the working state and the battery aging degree;

[0008] Construct a second control strategy corresponding to the energy storage system based on the first control strategy, the battery temperature, and the charge information;

[0009] Construct a third control strategy corresponding to the energy storage system according to the second control strategy, the battery temperature, and the current data;

[0010] Control and manage the energy storage system according to the first control strategy, the second control strategy, and the third control strategy.

[0011] Optionally, in some embodiments of this application, the constructing a third control strategy corresponding to the energy storage system according to the second control strategy, the battery temperature, and the current data includes:

[0012] Extract the characteristic values corresponding to the battery temperature and the current data to obtain the temperature characteristic value corresponding to the battery temperature and the current characteristic value corresponding to the current data;

[0013] Construct the third control strategy corresponding to the energy storage system according to the second control strategy, the temperature characteristic value, and the current characteristic value.

[0014] Optionally, in some embodiments of the present application, the constructing the third control strategy corresponding to the energy storage system according to the second control strategy, the temperature characteristic value, and the current characteristic value includes:

[0015] Construct a data set of the sample energy storage battery changing over time according to the temperature characteristic value and the current characteristic value;

[0016] Construct the third control strategy corresponding to the energy storage system based on the second control strategy and the data set.

[0017] Optionally, in some embodiments of the present application, the constructing the third control strategy corresponding to the energy storage system based on the second control strategy and the data set includes:

[0018] Determine the change trend of each data in the data set over time;

[0019] Adjust the second control strategy based on the change trend to obtain the third control strategy corresponding to the energy storage system.

[0020] Optionally, in some embodiments of the present application, the constructing the first control strategy corresponding to the energy storage system according to the working state and the battery aging degree includes:

[0021] Determine the working mode corresponding to the sample energy storage battery according to the working state and the battery aging degree;

[0022] Construct a thermal control strategy in different working modes.

[0023] Optionally, in some embodiments of the present application, the constructing the second control strategy corresponding to the energy storage system based on the first control strategy, the battery temperature, and the charge information includes:

[0024] Obtain the thermal control strategies in different working modes from the first control strategy;

[0025] Adjust the thermal control strategies in different working modes based on the battery temperature and the charge information to obtain the second control strategy corresponding to the energy storage system.

[0026] Optionally, in some embodiments of the present application, the adjusting the thermal control strategies in different working modes based on the battery temperature and the charge information to obtain the second control strategy corresponding to the energy storage system includes:

[0027] Determine the correlation between the battery temperature and the charge information;

[0028] Adjust the thermal control strategy under different working modes according to the correlation between the battery temperature and the charge information, and obtain the second control strategy corresponding to the energy storage system.

[0029] Optionally, in some embodiments of the present application, the controlling and managing the energy storage system according to the first control strategy, the second control strategy, and the third control strategy includes:

[0030] Obtain the target battery temperature and the target battery aging degree of the target battery in the energy storage system;

[0031] Determine a target control strategy among the first control strategy, the second control strategy, and the third control strategy according to the target battery temperature and the target battery aging degree;

[0032] Control and manage the target battery based on the target control strategy.

[0033] Correspondingly, the present application further provides an electronic device, including a memory, a processor, and a computer program stored on the memory and executable on the processor, wherein when the processor executes the program, it performs the steps of any of the above methods.

[0034] The present application further provides a computer-readable storage medium, where the storage medium stores a computer program, and when the computer program is executed by a processor, it implements the steps of any of the above methods.

[0035] An embodiment of the present application provides a method for controlling and managing an energy storage system, an electronic device, and a storage medium. After obtaining the working state, battery aging degree, battery temperature, charge information, and current data of a sample energy storage battery in the energy storage system, a first control strategy corresponding to the energy storage system is constructed according to the working state and the battery aging degree. Then, based on the first control strategy, the battery temperature, and the charge information, a second control strategy corresponding to the energy storage system is constructed. Then, according to the second control strategy, the battery temperature, and the current data, a third control strategy corresponding to the energy storage system is constructed. Finally, the energy storage system is controlled and managed according to the first control strategy, the second control strategy, and the third control strategy. The energy storage system control management solution provided by the present application constructs the first control strategy, the second control strategy, and the third control strategy corresponding to the energy storage system according to the working state, battery aging degree, battery temperature, charge information, and current data of the sample energy storage battery in the energy storage system, and both the second control strategy and the third control strategy are constructed based on the first control strategy. Therefore, when actually controlling and managing the energy storage system, hierarchical control can be performed according to the actual situation of the energy storage system. Thus, the accuracy of the energy storage system control management can be improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] To more clearly illustrate the technical solutions in the embodiments of the present application, the following will briefly introduce the accompanying drawings required for the description of the embodiments. Obviously, the accompanying drawings in the following description are only some embodiments of the present application. For those skilled in the art, without creative efforts, other accompanying drawings can be obtained based on these drawings.

[0037] Figure 1 is a schematic flowchart of the energy storage system control and management method provided by the embodiments of the present application;

[0038] Figure 2 is a schematic architecture diagram of the energy storage battery thermal management system provided by the embodiments of the present application

[0039] Figure 3 is a schematic structural diagram of the electronic device provided by the embodiments of the present application. Specific embodiments

[0040] The following will clearly and completely describe the technical solutions in the embodiments of the present application in conjunction with the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are only some embodiments of the present application, rather than all embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative efforts belong to the scope of protection of the present application.

[0041] The embodiments of the present application provide an energy storage system control and management method, device, electronic device, and storage medium.

[0042] Among them, the energy storage system control and management method can be specifically applied to a terminal. The terminal can include a tablet computer or a personal computer (PC, Personal Computer). The terminal can establish a wired or wireless connection with a server. The server can include an independently operating server or a distributed server, or can also include a server cluster composed of multiple servers.

[0043] The following will be described in detail respectively. It should be noted that the description order of the following embodiments does not limit the priority order of the embodiments.

[0044] An energy storage system control and management method includes: obtaining the working state, battery aging degree, battery temperature, charge information, and current data of a sample energy storage battery in the energy storage system; constructing a first control strategy corresponding to the energy storage system according to the working state and battery aging degree; constructing a second control strategy corresponding to the energy storage system based on the first control strategy, battery temperature, and charge information; constructing a third control strategy corresponding to the energy storage system according to the second control strategy, battery temperature, and current data; and controlling and managing the energy storage system according to the first control strategy, second control strategy, and third control strategy.

[0045] Please refer to Figure 1 , Figure 1 , which is a schematic flow chart of the energy storage system control and management method provided by the embodiment of the present application. The specific flow of the energy storage system control and management method can be as follows:

[0046] 101. Obtain the working state, battery aging degree, battery temperature, charge information, and current data of the sample energy storage battery in the energy storage system.

[0047] The sample energy storage battery is one or more battery units in the energy storage system, used to monitor and evaluate the performance and state of the entire energy storage system. These battery units can be single batteries or modules composed of multiple batteries. The sample energy storage battery represents the typical characteristics of the batteries in the entire energy storage system, including parameters such as working state, aging degree, temperature, state of charge (SOC), and current.

[0048] The working state refers to the different states of the battery during actual use or operation, such as charging state, discharging state, or static state; the battery aging degree (State of Health, SOH) refers to the degree of gradual decline in the performance of the battery during use, usually used to evaluate the health state and remaining service life of the battery; the battery temperature refers to the internal temperature of the battery during operation, specifically the temperature caused by the heat generated by chemical reactions and charge transfer during the charge and discharge processes of the battery; the charge information usually refers to the state of charge (SOC) of the battery, which is the percentage of the remaining battery charge to the rated capacity of the battery; the current data refers to the current value flowing through the battery during the charge and discharge processes of the battery. The current data includes charging current and discharging current, usually in amperes (A).

[0049] For example, parameters such as the charge and discharge current and voltage of the battery can be monitored in real time through sensors in the battery management system (BMS) to determine whether the battery is in a charging, discharging, or static state. Specifically, based on the collected current and voltage data, the charge and discharge processes of the battery are analyzed to determine its current working state. In addition, with the help of an intelligent battery management system, multiple parameters of the battery (such as current, voltage, temperature, etc.) can be monitored in real time, and combined with the historical data of the unit, data analysis and judgment are carried out to evaluate the aging degree of the battery. At the same time, a temperature sensor (such as an NTC temperature sensor) can also be installed in the battery module to monitor the temperature of the battery in real time. The sensor can measure the temperature on the surface and inside of the battery, providing important data support for the thermal management of the battery. It should be noted that the charge information can be obtained by measuring the current of the battery and performing integral calculation to obtain the state of charge (SOC) of the battery. A shunt or Hall current sensor can be used to collect the current of the main circuit of the battery system.

[0050] 102. Construct a first control strategy corresponding to the energy storage system according to the working state and the degree of battery aging.

[0051] Among them, the first control strategy is an initial thermal management strategy formulated in the energy storage system based on the working state and the degree of aging (SOH) of the battery. The first control strategy provides a basic framework for the thermal management of the energy storage system to ensure that the battery can operate safely and efficiently under different working conditions.

[0052] For example, according to the working state and the degree of battery aging, adjust the operating parameters of the cooling system, such as fan speed, coolant flow rate, etc., to maintain the battery within a safe temperature range. In a low-temperature environment, provide heating protection for aging batteries (such as SOH less than 70%) to ensure battery performance. Optionally, temperature equalization measures can also be provided to ensure uniform temperature inside the battery pack and prevent local overheating or overcooling.

[0053] Optionally, in some embodiments of the present application, the step of "constructing a first control strategy corresponding to the energy storage system according to the working state and the degree of battery aging" may specifically include:

[0054] Determine the working mode corresponding to the sample energy storage battery according to the working state and the degree of battery aging;

[0055] Construct thermal control strategies in different working modes.

[0056] For example, determine the working mode of the battery according to the working state and the degree of battery aging. For example, a new battery (such as SOH greater than or equal to 99%) is in charging mode 1x1, while an aging battery (such as SOH less than or equal to 70%) is in discharging mode. Optionally, in some embodiments of the present application, for a new battery, a faster charging rate and a higher charging cut-off voltage are allowed; for an aging battery, the charging rate needs to be reduced and the charging cut-off voltage needs to be controlled to reduce heat generation. A new battery can withstand a faster discharging rate; an aging battery needs to limit the discharging rate to avoid over-discharging. In the static state, the focus of thermal management is to maintain the battery within a suitable temperature range to prevent self-discharge and temperature fluctuations. According to the selected working mode and thermal control strategy, the operating parameters of the cooling system, such as fan speed, coolant flow rate, etc., can be adjusted. In the case of heating required, the operating parameters of the heating system can be adjusted.

[0057] 103. Construct a second control strategy corresponding to the energy storage system based on the first control strategy, battery temperature, and charge information.

[0058] The second control strategy further refines the thermal management measures on the basis of the first control strategy. The second control strategy takes into account the real-time temperature and charge information (SOC) of the battery to achieve more precise thermal control.

[0059] Among them, based on the first control strategy, combined with the real-time temperature and SOC of the battery, the thermal management control strategy is further refined to form the second control strategy. For example, if the SOC is high and the battery temperature is close to or exceeds the preset safety threshold, it is necessary to increase the cooling intensity, such as increasing the coolant flow rate or the fan speed. If the SOC is low and the battery temperature is too low, it is necessary to start heating measures, such as using heating elements or adjusting the coolant temperature, to increase the battery temperature. If the SOC is at a medium level, it is necessary to maintain the uniformity of the battery temperature, such as adjusting the heat dissipation measures to balance the temperature distribution inside the battery. Based on this, the second control strategy is formed.

[0060] Optionally, in some embodiments of the present application, the step of "constructing the second control strategy corresponding to the energy storage system based on the first control strategy, the battery temperature, and the charge information" may specifically include:

[0061] Obtain the thermal control strategies under different working modes from the first control strategy;

[0062] Adjust the thermal control strategies under different working modes based on the battery temperature and charge information to obtain the second control strategy corresponding to the energy storage system.

[0063] For example, specifically, by monitoring the state of charge of the battery, the remaining power of the battery can be understood. Then, based on the first control strategy, combined with the real-time temperature and SOC of the battery, the thermal management control strategy is further refined to form the second control strategy to adjust the thermal control strategy:

[0064] Cooling strategy: If the real-time temperature exceeds the set threshold, increase the cooling intensity, such as increasing the coolant flow rate or the fan speed.

[0065] Heating strategy: If the real-time temperature is lower than the set threshold, start heating measures, such as using heating elements or adjusting the coolant temperature, to increase the battery temperature.

[0066] Temperature equalization strategy: When the temperature difference inside the battery is large, adjust the heat dissipation measures to balance the temperature distribution inside the battery, such as increasing the fan speed or using a temperature equalizing plate.

[0067] Optionally, in some embodiments of the present application, the step of "adjusting the thermal control strategies under different working modes based on the battery temperature and charge information to obtain the second control strategy corresponding to the energy storage system" may specifically include:

[0068] Determine the correlation between the battery temperature and the charge information;

[0069] Adjust the thermal control strategies under different working modes according to the correlation between the battery temperature and the charge information to obtain the second control strategy corresponding to the energy storage system.

[0070] For example, specifically, monitor the temperature and SOC of the battery, and determine how the change in SOC affects the battery temperature by analyzing the collected data. For example, a rapid drop in SOC during discharge is accompanied by a rapid rise in temperature. Adjust the thermal control strategy according to the correlation between SOC and temperature. For example, if the data analysis shows that the battery is more prone to overheating at high SOC, then stronger cooling measures are required in the high SOC region (such as when SOC is greater than 80%).

[0071] 104. Construct a third control strategy corresponding to the energy storage system according to the second control strategy, battery temperature, and current data.

[0072] The third control strategy further refines the thermal management measures on the basis of the second control strategy. The third control strategy involves in-depth analysis of battery temperature and current data, as well as real-time monitoring of the charge information (SOC). For example, specifically, monitor the state of charge and charge / discharge current of the battery, and then determine the relationship between changes in SOC and current and the battery temperature. For example, high-current charge and discharge cause the battery temperature to rise rapidly. On the basis of the second control strategy, combined with the real-time SOC, temperature, and current data of the battery, further refine the thermal management control strategy to form the third control strategy. For example, if the SOC is high, the current is large, and the battery temperature is close to or exceeds the preset safety threshold, increase the cooling intensity; if the SOC is low, the current is small, and the battery temperature is too low, start the heating measure. If the temperature difference inside the battery is large, adjust the heat dissipation measures to balance the temperature distribution inside the battery.

[0073] Optionally, in some embodiments of the present application, the step of "constructing a third control strategy corresponding to the energy storage system according to the second control strategy, battery temperature, and current data" may specifically include:

[0074] Extract the characteristic values corresponding to the battery temperature and current data to obtain the temperature characteristic values corresponding to the battery temperature and the current characteristic values corresponding to the current data.

[0075] Construct a third control strategy corresponding to the energy storage system according to the second control strategy, temperature characteristic values, and current characteristic values.

[0076] For example, by analyzing the battery temperature data, eigenvalue such as temperature change rate, temperature volatility, root mean square (RMS) of temperature, etc. can be extracted. These eigenvalues can reflect the thermal characteristics of the battery under different operating conditions. Similarly, by analyzing the battery current data, eigenvalue such as current change rate, current volatility, root mean square (RMS) of current, etc. can be extracted. These eigenvalues can reflect the current characteristics of the battery during charge and discharge. Based on the second control strategy, using the eigenvalues of temperature and current, predict the state change of the battery in the next period of time, such as the trend of temperature rise or fall, and the impact of current change on the battery performance. According to the prediction result, dynamically adjust the operation of the thermal management system, such as coolant flow rate, fan speed, etc., to adapt to the change of the battery state. Thus, the third control strategy is obtained.

[0077] Specifically, based on the second control strategy, combining the real-time SOC, temperature eigenvalue and current eigenvalue of the battery, adjust the thermal control strategy. For example, if the SOC is relatively high, the current is relatively large and the battery temperature is close to or exceeds the preset safety threshold, the cooling intensity needs to be increased; if the SOC is relatively low, the current is relatively small and the battery temperature is too low, heating measures need to be started. If the temperature difference inside the battery is relatively large, adjust the heat dissipation measures to balance the temperature distribution inside the battery.

[0078] Optionally, in some embodiments of the present application, the step of "constructing the third control strategy corresponding to the energy storage system according to the second control strategy, temperature eigenvalue and current eigenvalue" may specifically include:

[0079] Construct a data set of the sample energy storage battery changing with time according to the temperature eigenvalue and current eigenvalue;

[0080] Based on the second control strategy and the data set, construct the third control strategy corresponding to the energy storage system.

[0081] For example, combine the extracted temperature eigenvalue and current eigenvalue with time to construct a time series data set, which can reflect the state change of the battery at different time points. Then, use the constructed data set to adjust the second control strategy, such as coolant flow rate, fan speed, etc. Specifically, based on the constructed data set, analyze the temperature and current change trends of the battery at different SOC levels. Finally, based on the analysis result, adjust the second control strategy. For example, if the data shows that the battery temperature rises faster at high SOC, the cooling intensity needs to be increased in the high SOC area.

[0082] Optionally, in some embodiments of the present application, the step of "constructing the third control strategy corresponding to the energy storage system based on the second control strategy and the data set" may specifically include:

[0083] Determine the change trend of each data in the data set over time;

[0084] Adjust the second control strategy based on the change trend to obtain the third control strategy corresponding to the energy storage system.

[0085] For example, remove outliers and noise from the dataset to ensure data quality. Then, scale the data to the same scale for easy comparison and analysis. Optionally, in some embodiments of the present application, the moving average of the data can be calculated to smooth the data and show the overall trend of the data. And use linear regression or other curve fitting methods to estimate the trend of the data. Optionally, in some embodiments of the present application, statistics such as maximum value, minimum value, average value, and standard deviation can be calculated to analyze the change trend of temperature and current characteristic values over time. According to the predicted trend, adjust the second control strategy, such as coolant flow rate, fan speed, etc.

[0086] 105. Control and manage the energy storage system according to the first control strategy, the second control strategy, and the third control strategy.

[0087] For example, when the battery is in the charging state and the SOH is greater than 95%, use the first control strategy to control and manage the energy storage system. If, under the first control strategy, the battery temperature rises above 28°C or the SOC exceeds 75%, according to the second control strategy, it is necessary to increase the cooling intensity, such as increasing the coolant flow rate or fan speed. If, under the second control strategy, it is predicted that the battery temperature may further rise in the future, the third control strategy will intervene in advance, send instructions through the BMS, and start more advanced cooling measures, such as reducing the coolant inlet temperature or increasing the power of the cooling system. For example, if the real-time data shows that the battery temperature is decreasing, it may be necessary to reduce the cooling intensity or start heating measures.

[0088] Optionally, in some embodiments of the present application, the step of "controlling and managing the energy storage system according to the first control strategy, the second control strategy, and the third control strategy" may specifically include:

[0089] Obtain the target battery temperature and target battery aging degree of the target battery in the energy storage system;

[0090] Determine the target control strategy from the first control strategy, the second control strategy, and the third control strategy according to the target battery temperature and the target battery aging degree;

[0091] Control and manage the target battery based on the target control strategy.

[0092] The target battery refers to the specific battery unit or battery pack that needs to be controlled and managed in the energy storage system. In the energy storage system, each battery or group of batteries will have specific target parameters to ensure their operation in the best state. For example, the target battery temperature of the energy storage system is set at 25 - 35 °C, and the target aging degree (SOH) is maintained above 90%.

[0093] According to the working state of the battery (such as charging) and the current aging degree (such as SOH = 92%), select the first control strategy as the target control strategy, and control and manage the target battery based on the target control strategy. That is, at the initial stage of charging, adopt a medium cooling intensity. Real-time monitor the battery temperature and SOC. If during the charging process, the battery temperature rises to 30 °C and the SOC reaches 60%. According to these data, adjust the specific parameters of the first control strategy, such as increasing the coolant flow rate to 8 L / min.

[0094] Using historical data, calculate the characteristic values of temperature and current. It is found that during the charging process, the battery temperature rises rapidly and the current fluctuates greatly. Based on these characteristic values, it is predicted that if charging continues in the current manner, the battery temperature may exceed the target temperature range and the aging speed will accelerate. Therefore, select the third control strategy to further adjust the cooling system. For example, increase the coolant flow rate to 10 L / min, or adjust the fan speed to improve the cooling efficiency.

[0095] To further understand the energy storage system control and management solution of the present application, please refer to Figure 2 , taking the energy storage battery thermal management system as an example for specific illustration. The present application provides an energy storage system data interaction control architecture. The energy storage battery thermal management system acquires the current working state of the energy storage battery and the real-time data of battery thermal management. The real-time data of battery thermal management includes battery temperature, current, voltage, internal resistance, and SOC; the schematic of acquiring the state and data is as shown in the appendix Figure 2 shown. Among them, the working state of the energy storage battery includes charging, discharging, and standing still. According to the current working state of the battery, determine the corresponding thermal management control strategy; calculate the battery aging degree SOH based on the real-time data of battery thermal management: ① Receive the real-time current, voltage, and internal resistance data of the battery, ② Periodically summarize the data in segments to form multiple continuous data sets in a cycle, ③ Calculate multiple electrochemical and charge-discharge characteristics of the continuous data set, ④ Compare the electrochemical and charge-discharge characteristics of the latter time period with those of the former time period, calculate the characteristic attenuation degree, ⑤ Obtain the battery aging degree SOH according to the characteristic attenuation degree, ⑥ Based on SOH, determine the thermal management control strategy for different aging levels;

[0096] The SOH calculation and evaluation steps are as follows:

[0097] First, the energy storage battery thermal management system receives data such as the real-time current, voltage, and internal resistance of the battery. Then, the energy storage battery thermal management system summarizes the received data according to a time period to form a continuous data set. Next, the energy storage battery thermal management system analyzes the summarized data set and calculates multiple electrochemical and charge-discharge characteristics of the battery. Then, the energy storage battery thermal management system compares the electrochemical and charge-discharge characteristics of the latter time period with those of the previous time period, and calculates the attenuation degree of the battery characteristics according to the comparison result. Finally, the energy storage battery thermal management system obtains the state of health (SOH) of the battery based on the attenuation degree of the characteristics.

[0098] After determining the current working state of the battery and the state of health (SOH) of the battery, a first-level thermal management control mode is jointly constructed, as shown in Table 1:

[0099]

[0100] Table 1

[0101] Different working states and SOH correspond to different control modes nxm (such as 1x1, 1x2...), where m represents the energy-saving mode, balanced mode, and strong mode of thermal management in ascending order. In particular, when n is equal to 3, the energy-saving mode is forced to enter; each control mode includes cooling n0m, heating n1m, and temperature equalization n2m.

[0102] According to the first-level control mode nxm, combining the battery temperature and SOC, a second-level thermal management control strategy nxm_ij is constructed, as shown in Table 2, Table 3, and Table 4:

[0103]

[0104] Table 2

[0105]

[0106] Table 3

[0107]

[0108] Table 4

[0109] Different battery temperatures and SOCs correspond to different control strategies nxm_ij (such as n0m_11, n0m_12...; n1m_11, n1m_12...; n2m_11, n2m_12...); for n0m_ij, the larger the i, the higher the cooling demand (i.e., the lower the cooling target water temperature & the larger the target flow rate), and the larger the j, the higher the cooling demand (i.e., the lower the cooling target water temperature & the larger the target flow rate); for n1m_ij, the larger the i, the lower the heating demand (i.e., the lower the heating target water temperature & the smaller the target flow rate), and the larger the j, the lower the heating demand (i.e., the lower the heating target water temperature & the smaller the target flow rate); for n2m_ij, the larger the i, the higher the temperature equalization demand (i.e., the larger the target flow rate), and the closer j is to the maximum and minimum ends, the higher the demand (i.e., the larger the target flow rate). (Note: Specifically, the corresponding trend between ij and the level of demand can be adjusted according to the actual situation).

[0110] According to the battery temperature and current data obtained in real time, the battery temperature and current data within M time between the current moments are statistically analyzed, and a continuous data set over time is established (i.e., each moment has its own data set), and the data set includes a temperature subset and a current subset; the root mean square is solved for the temperature (T) subset respectively (formula: ) and the differential is solved (formula: differential = dT / dt) to obtain the temperature eigenvalue 1 and the temperature eigenvalue 2, and the root mean square is solved for the current (I) subset (formula: ) to obtain the current eigenvalue; it should be particularly noted that the M time is not a single fixed value. In this embodiment, it is divided into short-term M (small M value) and long-term M (large M value). Correspondingly, the mathematical eigenvalues include short-term temperature eigenvalue 1, long-term temperature eigenvalue 1, short-term temperature eigenvalue 2, long-term temperature eigenvalue 2, short-term current eigenvalue, and long-term current eigenvalue.

[0111] According to the second-level thermal management control mode, the battery temperature and current data obtained in real time, the third-level predictive thermal management control strategies nxm_ij_uv and nxm_ij_TR are constructed, as shown in Tables 5 and 6:

[0112]

[0113] Table 5

[0114]

[0115] Table 6

[0116] Different temperature characteristic values 1 and current characteristic values correspond to different control strategies nxm_ij_uv (such as n0m_ij_11, n0m_ij_12...; n1m_ij_11, n1m_ij_12...); for n0m_ij_uv, the larger the value of u, the higher the cooling demand, and the larger the value of v, the higher the cooling demand as well; for n1m_ij_uv, the larger the value of u, the lower the heating demand, and the larger the value of v, the lower the heating demand as well. When the temperature characteristic values 1 and 2 in special cases meet the requirements, the nxm_ij_TR control strategy is activated (i.e., the thermal runaway rapid cooling function is turned on), as shown in Table 7:

[0117]

[0118] Table 7

[0119] Optionally, in some embodiments of the present application, the priority of function implementation is thermal runaway rapid cooling > heating > cooling > temperature equalization, ensuring that different functions cannot be started simultaneously and enhancing the stability of the BTMS.

[0120] An embodiment of the present application provides a method for controlling and managing an energy storage system. After obtaining the working state, battery aging degree, battery temperature, charge information, and current data of a sample energy storage battery in the energy storage system, a first control strategy corresponding to the energy storage system is constructed according to the working state and battery aging degree. Then, based on the first control strategy, battery temperature, and charge information, a second control strategy corresponding to the energy storage system is constructed. Then, according to the second control strategy, battery temperature, and current data, a third control strategy corresponding to the energy storage system is constructed. Finally, according to the first control strategy, the second control strategy, and the third control strategy, the energy storage system is controlled and managed. The energy storage system control and management solution provided by the present application constructs a first control strategy, a second control strategy, and a third control strategy corresponding to the energy storage system according to the working state, battery aging degree, battery temperature, charge information, and current data of the sample energy storage battery in the energy storage system, and both the second control strategy and the third control strategy are constructed based on the first control strategy. Therefore, when actually controlling and managing the energy storage system, hierarchical management can be carried out according to the actual situation of the energy storage system, thereby improving the accuracy of the energy storage system control and management.

[0121] In addition, an embodiment of the present application also provides an electronic device, as Figure 3 shown, which shows the structural schematic diagram of the electronic device involved in the embodiment of the present application. Specifically:

[0122] The electronic device may include a processor 301 with one or more processing cores, a memory 302 with one or more computer-readable storage media, a power supply 303, an input unit 304, and other components. Those skilled in the art can understand, Figure 3The electronic device structure shown does not constitute a limitation on the electronic device, and may include more or fewer components than shown, or combine certain components, or have different component arrangements. Among them:

[0123] The processor 301 is the control center of the electronic device, connecting various parts of the entire electronic device through various interfaces and circuits. By running or executing software programs and / or modules stored in the memory 302, and by invoking the data stored in the memory 302, it executes various functions of the electronic device and processes data, thereby monitoring the electronic device as a whole. Optionally, the processor 301 may include one or more processing cores; preferably, the processor 301 may integrate an application processor and a modem processor. Among them, the application processor mainly processes the operating system, user interface, application programs, etc., and the modem processor mainly processes wireless communication. It can be understood that the above-mentioned modem processor may not be integrated into the processor 301 either.

[0124] The memory 302 can be used to store software programs and modules. The processor 301 executes various functional applications and energy storage system control management by running the software programs and modules stored in the memory 302. The memory 302 mainly includes a program storage area and a data storage area. Among them, the program storage area can store the operating system, application programs required for at least one function (such as the sound playback function, image playback function, etc.); the data storage area can store the data created according to the use of the electronic device. In addition, the memory 302 can include high-speed random access memory, and can also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other volatile solid-state storage devices. Correspondingly, the memory 302 can also include a memory controller to provide the processor 301 with access to the memory 302.

[0125] The electronic device further includes a power supply 303 for supplying power to each component. Preferably, the power supply 303 can be logically connected to the processor 301 through a power management system, so as to implement functions such as management of charging, discharging, and power consumption management through the power management system. The power supply 303 can also include any components such as one or more DC or AC power supplies, a recharge system, a power failure detection circuit, a power converter or inverter, and a power status indicator.

[0126] The electronic device may further include an input unit 304, which can be used to receive input digital or character information, and generate keyboard, mouse, joystick, optical or trackball signal inputs related to user settings and function controls.

[0127] Although not shown, the electronic device may further include a display unit and the like, which will not be elaborated here. Specifically, in this embodiment, the processor 301 in the electronic device will load the executable files corresponding to the processes of one or more application programs into the memory 302 according to the following instructions, and the processor 301 will run the application programs stored in the memory 302 to implement various functions as follows:

[0128] Obtain the working state, battery aging degree, battery temperature, charge information, and current data of the sample energy storage battery in the energy storage system; construct the first control strategy corresponding to the energy storage system according to the working state and battery aging degree; construct the second control strategy corresponding to the energy storage system based on the first control strategy, battery temperature, and charge information; construct the third control strategy corresponding to the energy storage system according to the second control strategy, battery temperature, and current data; and control and manage the energy storage system according to the first control strategy, second control strategy, and third control strategy.

[0129] For the specific implementation of each of the above operations, reference may be made to the previous embodiments and will not be elaborated here.

[0130] After obtaining the working state, battery aging degree, battery temperature, charge information, and current data of the sample energy storage battery in the energy storage system in the embodiment of the present application, the first control strategy corresponding to the energy storage system is constructed according to the working state and battery aging degree. Then, based on the first control strategy, battery temperature, and charge information, the second control strategy corresponding to the energy storage system is constructed. Then, according to the second control strategy, battery temperature, and current data, the third control strategy corresponding to the energy storage system is constructed. Finally, the energy storage system is controlled and managed according to the first control strategy, second control strategy, and third control strategy. The energy storage system control and management solution provided by the present application constructs the first control strategy, second control strategy, and third control strategy corresponding to the energy storage system according to the working state, battery aging degree, battery temperature, charge information, and current data of the sample energy storage battery in the energy storage system, and the second control strategy and the third control strategy are both constructed based on the first control strategy. Therefore, when actually controlling and managing the energy storage system, hierarchical management and control can be performed according to the actual situation of the energy storage system, thereby improving the accuracy of the energy storage system control and management.

[0131] Those of ordinary skill in the art can understand that all or part of the steps in the above various methods can be completed by instructions or by controlling related hardware through instructions. These instructions can be stored in a computer-readable storage medium and loaded and executed by a processor.

[0132] To this end, an embodiment of the present application provides a storage medium storing multiple instructions that can be loaded by a processor to execute the steps in any of the energy storage system control and management methods provided by the embodiments of the present application. For example, the instructions can execute the following steps:

[0133] Obtain the working state, battery aging degree, battery temperature, charge information, and current data of a sample energy storage battery in the energy storage system; construct a first control strategy corresponding to the energy storage system according to the working state and the battery aging degree; construct a second control strategy corresponding to the energy storage system based on the first control strategy, the battery temperature, and the charge information; construct a third control strategy corresponding to the energy storage system according to the second control strategy, the battery temperature, and the current data; control and manage the energy storage system according to the first control strategy, the second control strategy, and the third control strategy.

[0134] For the specific implementation of each of the above operations, reference may be made to the previous embodiments, which will not be elaborated here.

[0135] Among them, the storage medium may include: read-only memory (ROM, Read Only Memory), random access memory (RAM, Random Access Memory), magnetic disk, optical disc, etc.

[0136] Since the instructions stored in the storage medium can execute the steps in any of the energy storage system control and management methods provided by the embodiments of the present application, the beneficial effects achievable by any of the energy storage system control and management methods provided by the embodiments of the present application can be realized. For details, reference may be made to the previous embodiments, which will not be elaborated here.

[0137] The above has introduced in detail an energy storage system control and management method, an electronic device, and a storage medium provided by the embodiments of the present application. Specific examples are used in this article to elaborate on the principle and implementation manner of the present application. The description of the above embodiments is only used to help understand the method and its core idea of the present application; at the same time, for those skilled in the art, according to the idea of the present application, there will be changes in the specific implementation manner and application scope. In summary, the content of this specification should not be construed as a limitation to the present application.

Claims

1. A method for controlling and managing an energy storage system, characterized in that: include: Obtain the working status, battery aging degree, battery temperature, charge information and current data of sample energy storage batteries in the energy storage system; Constructing a first control strategy corresponding to the energy storage system according to the working state and the battery aging degree; Based on the first control strategy, battery temperature and charge information, construct a second control strategy corresponding to the energy storage system; Constructing a third control strategy corresponding to the energy storage system according to the second control strategy, battery temperature and current data; The energy storage system is controlled and managed according to the first control strategy, the second control strategy and the third control strategy.

2. The energy storage system control management method according to claim 1, characterized in that: The constructing a third control strategy corresponding to the energy storage system according to the second control strategy, battery temperature and current data includes: Extracting characteristic values ​​corresponding to the battery temperature and current data to obtain a temperature characteristic value corresponding to the battery temperature and a current characteristic value corresponding to the current data; A third control strategy corresponding to the energy storage system is constructed according to the second control strategy, the temperature characteristic value and the current characteristic value.

3. The energy storage system control management method according to claim 2, characterized in that: The constructing a third control strategy corresponding to the energy storage system according to the second control strategy, the temperature characteristic value and the current characteristic value includes: Constructing a data set of the sample energy storage battery changing over time according to the temperature characteristic value and the current characteristic value; Based on the second control strategy and the data set, a third control strategy corresponding to the energy storage system is constructed.

4. The energy storage system control management method according to claim 3, characterized in that: The constructing a third control strategy corresponding to the energy storage system based on the second control strategy and the data set includes: Determine the change trend of each data in the data set over time; The second control strategy is adjusted based on the change trend to obtain a third control strategy corresponding to the energy storage system.

5. The energy storage system control management method according to any one of claims 1 to 4, characterized in that: The constructing a first control strategy corresponding to the energy storage system according to the working state and the battery aging degree includes: Determine the working mode corresponding to the sample energy storage battery according to the working state and the battery aging degree; Build thermal control strategies in different operating modes.

6. The energy storage system control management method according to any one of claims 1 to 4, characterized in that: The constructing a second control strategy corresponding to the energy storage system based on the first control strategy, battery temperature and charge information includes: Obtaining thermal control strategies in different working modes from the first control strategy; The thermal control strategies under different working modes are adjusted based on the battery temperature and charge information to obtain a second control strategy corresponding to the energy storage system.

7. The energy storage system control management method according to claim 6, characterized in that: The step of adjusting the thermal control strategy in different working modes based on the battery temperature and charge information to obtain a second control strategy corresponding to the energy storage system includes: Determining a correlation between the battery temperature and the charge information; The thermal control strategies under different working modes are adjusted according to the correlation between the battery temperature and the charge information to obtain a second control strategy corresponding to the energy storage system.

8. The energy storage system control management method according to any one of claims 1 to 4, characterized in that: The controlling and managing of the energy storage system according to the first control strategy, the second control strategy and the third control strategy includes: Obtaining a target battery temperature and a target battery aging degree of a target battery in the energy storage system; Determining a target control strategy among the first control strategy, the second control strategy, and the third control strategy according to the target battery temperature and the target battery aging degree; The target battery is controlled and managed based on the target control strategy.

9. An electronic device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the program, the steps of the energy storage system control management method according to any one of claims 1 to 8 are implemented.

10. A computer-readable storage medium, characterized in that: A computer program is stored thereon, wherein when the computer program is executed by a processor, the steps of the energy storage system control and management method as described in any one of claims 1 to 8 are implemented.

Images