Energy storage thermal management system, control method and control device

Abstract

The embodiment of the present invention discloses an energy storage thermal management system, a control method and a control device. The energy storage thermal management system includes a cooling module and an energy storage module, the cooling module includes an air conditioning unit, a cooling water pump and a water tank, the energy storage module includes a capacitor box, and the capacitor box is composed of multiple battery cells and a fan; the control method of the energy storage thermal management system includes: determining the electric-thermal coupling spectrum of the battery cell through electric-thermal coupling simulation technology; predicting and judging the power consumption trend of the energy storage module according to the regular characteristics of the repetition of the daily power curve of the energy storage module; determining the control strategy of the energy storage thermal management system according to the electric-thermal coupling spectrum and the power consumption trend. The technical solution of the present invention can accurately monitor the heating condition of the energy storage thermal management system, so that the temperature of the energy storage thermal management system is always maintained at the optimal operating temperature, while reducing the energy consumption of the energy storage thermal management system.

Description

Technical Field

[0001] Embodiments of the present invention relate to the technical field of new energy thermal management, and in particular to an energy storage thermal management system, a control method, and a control device. Background Art

[0002] Supercapacitor boxes have the characteristics of high output power, large charge and discharge rate, and long life. They are very suitable for power system power regulation and frequency regulation energy storage. Traditional energy storage thermal management technology only controls thermal management based on temperature monitoring. Basic methods include monitoring the temperature of the battery cell. When the temperature of the battery cell is higher than the set threshold, the thermal management system starts refrigeration and cooling. After a certain period of cooling, if the monitored temperature is lower than the set threshold, the thermal management system stops refrigeration and cooling. Further advanced thermal management strategies only control the refrigeration power and the speed of the fan and water pump based on the monitoring temperature to achieve the effect of frequency regulation. These methods that only monitor and control the temperature cannot achieve very precise temperature control, and the system temperature cannot be maintained at the optimal operating temperature. At the same time, the energy consumption of the thermal management system is large, which affects the life of the battery cell and the economy of the thermal management system. Summary of the invention

[0003] The present invention provides an energy storage thermal management system, a control method and a control device to achieve accurate monitoring of the heating condition of the energy storage thermal management system, so that the temperature of the energy storage thermal management system is always maintained at the optimal operating temperature, while reducing the energy consumption of the energy storage thermal management system.

[0004] According to one aspect of the present invention, a control method for an energy storage thermal management system is provided, wherein the energy storage thermal management system comprises a cooling module and an energy storage module, wherein the cooling module comprises an air conditioning unit, a cooling water pump and a water tank, and the energy storage module comprises a capacitor box, wherein the capacitor box comprises a plurality of battery cells and a fan; the control method comprises:

[0005] Determine the electric-thermal coupling spectrum of the battery cell by electric-thermal coupling simulation technology;

[0006] According to the regular characteristics of the repetition of the daily power curve of the energy storage module, the power consumption trend of the energy storage module is predicted and judged;

[0007] The control strategy of the energy storage thermal management system is determined according to the electric-thermal coupling map and the power usage condition trend.

[0008] Optionally, determining the electric-thermal coupling spectrum of the battery cell by using the electric-thermal coupling simulation technology specifically includes:

[0009] Constructing a microscopic electrode model for the battery cell and meshing the battery cell;

[0010] Based on the microscopic electrode model, an electric potential is applied to the electrodes of the battery cell to form a voltage and a current;

[0011] Perform simulation calculations according to the grid division, and output the calorific value of the battery cell under different electrical parameters;

[0012] The heat value of the energy storage module is calculated according to the heat value of the battery cell to form an electric-thermal coupling map.

[0013] Optionally, predicting and judging the power usage trend of the energy storage module according to the repetitive regular characteristics of the daily power curve of the energy storage module specifically includes: iteratively fitting a trend prediction curve according to the daily power curve to obtain a new power prediction curve.

[0014] Optionally, the control strategy of the energy storage thermal management system determined according to the electric-thermal coupling map and the power usage condition trend includes precise calorific value calculation control, and the precise calorific value calculation control includes:

[0015] The temperature, voltage and current of the battery cell are collected and introduced into a pre-established electric-thermal coupling model to obtain the calculated heating power after simulation operation. The capacitor box power and the capacitor box temperature are introduced into the heating experience calculation model to obtain the empirical heating power. The calculated heating power and the empirical heating power are checked for consistency, the normalized heating value is output, and the control strategy decision is made.

[0016] Optionally, determining the control strategy of the energy storage thermal management system according to the electric-thermal coupling map and the power consumption condition trend includes power consumption trend prediction, and the power consumption trend prediction includes:

[0017] Collect and calculate the current power, and check the consistency of the power consumption trend curve between the current power and the power curve of the previous 1h~nh. If the check is consistent, calculate the heat generation trend of the future preset time according to the current power and the power consumption trend, and make a decision on the control strategy;

[0018] If the check is inconsistent, the previous (n-1) power curve to the previous 1h power curve are taken to perform the consistency check of the power consumption trend curve, and the process is repeated in sequence until the consistency check of the power consumption trend curve is satisfied.

[0019] Optionally, determining the control strategy of the energy storage thermal management system according to the electric-thermal coupling map and the power usage condition trend includes:

[0020] The speed of the compressor in the air-conditioning unit is adjusted to control the cooling power, the speed of the fan in the capacitor box is adjusted to control the heat exchange, the speed of the cooling water pump is adjusted to control the total flow of the coolant, and the opening of the flow regulating valve of the water tank is adjusted to control the water flow of each branch.

[0021] Optionally, determining whether the rotation speed of the fan is a maximum value, and if not, adjusting the rotation speed of the fan and then continuing to determine whether the temperature of the energy storage module exceeds a first preset condition;

[0022] If the speed of the fan is at the maximum value, determining whether the flow rate of the flow regulating valve is at the maximum value; if not, increasing the flow rate of the flow regulating valve and continuing to determine whether the temperature of the energy storage module exceeds the first preset condition;

[0023] If the flow rate of the flow regulating valve is at a maximum value, determining whether the duty cycle of the cooling water pump is at a maximum value; if not, increasing the duty cycle of the cooling water pump and continuing to determine whether the temperature of the energy storage module exceeds a first preset condition;

[0024] If the duty cycle of the cooling water pump is at a maximum value, it is determined whether the cooling power of the compressor in the air-conditioning unit is at a maximum value; if not, the cooling power of the compressor in the air-conditioning unit is increased, and the flow regulating valve of the energy storage module that is not overheated is reduced, and then it is continued to determine whether the temperature of the energy storage module exceeds the first preset condition.

[0025] Optionally, the electrical parameter includes at least one of voltage, current, power and internal resistance.

[0026] According to another aspect of the present invention, there is provided an energy storage thermal management system, the energy storage thermal management system comprising: a cooling module and an energy storage module;

[0027] The cooling module comprises an air conditioning unit, a cooling water pump and a water tank, the first end of the air conditioning unit is connected to the cooling water pump, the second end of the air conditioning unit is connected to the water tank, and the cooling water pump and the water tank are respectively connected to the energy storage module;

[0028] The energy storage module comprises a capacitor box, which is composed of a plurality of battery cells and a wind machine, and the water tank comprises a flow regulating valve.

[0029] According to another aspect of the present invention, a control device for an energy storage thermal management system is further provided. The control device for the energy storage thermal management system comprises:

[0030] An electric-thermal coupling spectrum determination module, used for forming an electric-thermal coupling spectrum of the battery cell by electric-thermal coupling simulation technology;

[0031] A prediction and judgment module, used to predict and judge the power consumption trend of the energy storage module according to the regular characteristics of the daily power curve of the energy storage module;

[0032] A control strategy determination module is used to form a control strategy for the energy storage thermal management system according to the electric-thermal coupling map and the power usage condition trend.

[0033] The embodiment of the present invention provides an energy storage thermal management system, which includes a cooling module and an energy storage module, the cooling module includes an air conditioning unit, a cooling water pump and a water tank, the energy storage module includes a capacitor box, and the capacitor box is composed of multiple battery cells and a fan; the control method of the energy storage thermal management system includes: determining the electric-thermal coupling spectrum of the battery cell through the electric-thermal coupling simulation technology; predicting and judging the power consumption trend of the energy storage module according to the regular characteristics of the daily power curve repetition of the energy storage module; and determining the control strategy of the energy storage thermal management system according to the electric-thermal coupling spectrum and the power consumption trend. The technical solution of the embodiment of the present invention forms an electric-thermal control spectrum based on the simulation results of the battery cell-module-capacitor box through the front-end electric-thermal coupling simulation technology, predicts and judges the power consumption trend through intelligent self-learning according to the regular characteristics of the daily power curve repetition of the frequency-modulated energy storage, and forms a high-precision control strategy of the energy storage thermal management system through the above strategy, thereby realizing accurate monitoring of the heating condition of the energy storage thermal management system, so that the temperature of the energy storage thermal management system is always maintained at the optimal operating temperature, and at the same time reduces the energy consumption of the energy storage thermal management system. In addition, it is also beneficial to improve the performance and service life of the supercapacitor and meet the economic requirements of the system. In summary, the embodiments of the present invention solve the problems in the prior art that accurate temperature control cannot be achieved, the temperature of the energy storage thermal management system cannot be maintained at the optimal operating temperature, and the energy storage thermal management system has high energy consumption.

[0034] It should be understood that the contents described in this section are not intended to identify the key or important features of the embodiments of the present invention, nor are they intended to limit the scope of the present invention. Other features of the present invention will become easily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0036] Figure 1 is a flow chart of a control method of an energy storage thermal management system provided according to an embodiment of the present invention;

[0037] Figure 2 is a flow chart of another control method of an energy storage thermal management system provided according to an embodiment of the present invention;

[0038] Figure 3 is a schematic diagram of a cell grid division provided according to an embodiment of the present invention;

[0039] Figure 4is a schematic diagram of imparting electric potential to a cell electrode according to an embodiment of the present invention;

[0040] Figure 5 is a schematic diagram of the heat generation of a battery cell under different electrical parameters provided by an embodiment of the present invention;

[0041] Figure 6 is a schematic diagram of an average temperature variation trend of a battery cell heating value provided by an embodiment of the present invention;

[0042] Figure 7 is a schematic diagram of heat generation of a battery cell provided according to an embodiment of the present invention;

[0043] Figure 8 is a schematic diagram of heat generation of another battery cell provided according to an embodiment of the present invention;

[0044] Fig. 9 is a schematic diagram of a power curve provided according to an embodiment of the present invention;

[0045] Fig.10 is a schematic diagram of another power curve provided according to an embodiment of the present invention;

[0046] Fig.11 is a precise calorific value calculation control flow chart provided according to an embodiment of the present invention;

[0047] Fig.12 is a flow chart of power consumption trend prediction provided according to an embodiment of the present invention;

[0048] Fig.13 It is a precise control strategy diagram of energy storage thermal management provided according to an embodiment of the present invention;

[0049] Fig.14 is a schematic structural diagram of an energy storage thermal management system provided according to an embodiment of the present invention;

[0050] Fig.15 It is a structural schematic diagram of a control device of an energy storage thermal management system provided according to an embodiment of the present invention. DETAILED DESCRIPTION

[0051] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present invention.

[0052] It should be noted that the terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0053] Figure 1 is a flow chart of a control method of an energy storage thermal management system provided according to an embodiment of the present invention, with reference to Figure 1 The embodiment of the present invention provides a control method for an energy storage thermal management system, the energy storage thermal management system includes a cooling module and an energy storage module, the cooling module includes an air conditioning unit, a cooling water pump and a water tank, the energy storage module includes a capacitor box, and the capacitor box is composed of a plurality of battery cells and a fan; the control method includes:

[0054] S110. Determine the electric-thermal coupling spectrum of the battery cell by using electric-thermal coupling simulation technology.

[0055] Specifically, the battery cell may be a soft-pack lithium battery, and the capacitor box is composed of a plurality of battery cells and a wind machine.

[0056] In the field of battery thermal simulation calculation, the heat generation and temperature field distribution simulation of the battery cell is currently conventionally performed using a simple empirical heating model in the simulation software, or a function calculation based on an equivalent circuit model. Another more accurate method is to measure the surface temperature and heat generation of the battery cell, assign it to the gridded surface of the battery cell model, and then perform system-level simulation. At present, there are few electro-thermal coupling simulations at the microscopic level of the battery cell, which can accurately simulate the heat generation and surface temperature distribution of the battery cell through the migration of positive and negative electrode electrons, heat conduction of the tabs, etc.

[0057] Conventional battery cell thermal simulation usually uses the following two models: The NTGK model is a simple semi-empirical electrochemical model that can be used for efficient battery modeling. It derives battery characteristics based on test values ​​and uses them as input values ​​to calculate battery performance and obtain heat distribution with low computational effort. The ECM equivalent circuit model simulates the dynamic battery charge and discharge process based on HPPC charge and discharge data. The electrical behavior of the battery is simulated by a circuit consisting of three resistors and two capacitors. The voltage-current relationship can be obtained by solving the circuit equation. For a given battery, the resistance value and capacitance value are functions of the battery state of charge (SOC) and temperature. Use the parameter fitting tool to fit the HPPC test data and present them in the form of a table or function.

[0058] This embodiment measures the surface heat generation and temperature distribution of the battery cell under different working conditions and temperatures, assigns numerical values ​​to the grid battery cell model, and uses this as input parameters to perform thermal simulation at the system level. The front-end electric-thermal coupling simulation technology forms an electric-thermal control map based on the simulation results of the battery cell-module-capacitor box, that is, a map of the relationship between electrical parameters and the heat generation of the supercapacitor box is established.

[0059] S120: predict and judge the power consumption trend of the energy storage module according to the regular characteristics of the repetition of the daily power curve of the energy storage module.

[0060] Specifically, based on the repetitive regularity of the daily power curve of the frequency-modulated energy storage, the power consumption trend of the energy storage module is predicted and judged through intelligent self-learning, and then the heat generation of the future energy storage thermal management system is predicted.

[0061] S130. Determine a control strategy for the energy storage thermal management system according to the electric-thermal coupling map and the power usage trend.

[0062] Specifically, based on the electric-thermal coupling diagrams of the above two aspects and the prediction and judgment of the power consumption trend, a control strategy for a high-precision energy storage thermal management system is formed, so that the energy storage thermal management system can accurately adjust the cooling capacity, so that the system temperature is always maintained at the optimal operating temperature, while reducing the energy consumption of the thermal management system.

[0063] The embodiment of the present invention provides an energy storage thermal management system, which includes a cooling module and an energy storage module, the cooling module includes an air conditioning unit, a cooling water pump and a water tank, the energy storage module includes a capacitor box, and the capacitor box is composed of multiple battery cells and a fan; the control method of the energy storage thermal management system includes: determining the electric-thermal coupling spectrum of the battery cell through the electric-thermal coupling simulation technology; predicting and judging the power consumption trend of the energy storage module according to the regular characteristics of the daily power curve repetition of the energy storage module; and determining the control strategy of the energy storage thermal management system according to the electric-thermal coupling spectrum and the power consumption trend. The technical solution of the embodiment of the present invention forms an electric-thermal control spectrum based on the simulation results of the battery cell-module-capacitor box through the front-end electric-thermal coupling simulation technology, predicts and judges the power consumption trend through intelligent self-learning according to the regular characteristics of the daily power curve repetition of the frequency-modulated energy storage, and forms a high-precision control strategy of the energy storage thermal management system through the above strategy, thereby realizing accurate monitoring of the heating condition of the energy storage thermal management system, so that the temperature of the energy storage thermal management system is always maintained at the optimal operating temperature, and at the same time reduces the energy consumption of the energy storage thermal management system. In addition, it is also beneficial to improve the performance and service life of the supercapacitor and meet the economic requirements of the system. In summary, the embodiments of the present invention solve the problems in the prior art that accurate temperature control cannot be achieved, the temperature of the energy storage thermal management system cannot be maintained at the optimal operating temperature, and the energy storage thermal management system has high energy consumption.

[0064] Figure 2 is a flow chart of another control method of an energy storage thermal management system provided according to an embodiment of the present invention, with reference to Figure 2 Optionally, determining the electric-thermal coupling map of the battery cell by electric-thermal coupling simulation technology specifically includes the following steps:

[0065] 1101. Construct a microscopic electrode model for the battery cell and mesh the battery cell.

[0066] Figure 3 is a schematic diagram of a cell grid division according to an embodiment of the present invention, with reference to Figure 3 Specifically, firstly, a microscopic electrode model is constructed according to the type of battery cell. The microscopic electrode model can be a three-dimensional model, and then the mesh is divided on the three-dimensional model. The subsequent simulation operation is simulated with the smallest unit drawn by the mesh. The finer the mesh division, the more accurate the temperature field, but the amount of calculation will also increase.

[0067] 1102. Based on the microscopic electrode model, an electric potential is applied to the electrodes of the battery cell to form voltage and current.

[0068] Figure 4 is a schematic diagram of applying a potential to a cell electrode according to an embodiment of the present invention, with reference to Figure 4Specifically, two tabs at both ends of the battery cell are charged to form voltage and current, wherein one tab is a positive pole and the other tab is a negative pole.

[0069] 1103. Perform simulation calculations based on grid division and output the heat generated by the battery cells under different electrical parameters.

[0070] Figure 5 is a schematic diagram of the heat generation of a battery cell under different electrical parameters provided according to an embodiment of the present invention. Figure 6 is a schematic diagram of an average temperature variation trend of a battery cell heat generation according to an embodiment of the present invention, with reference to Figure 5 and Figure 6 Specifically, a simulation operation is performed based on the smallest unit of the grid division to output the heating value of the battery cell under different electrical parameters. Optionally, the electrical parameter includes at least one of voltage, current, power and internal resistance.

[0071] 1104. Calculate the heat generated by the energy storage module according to the heat generated by the battery cell to form an electric-thermal coupling diagram.

[0072] Specifically, according to research, at the same power, the heat generated by charging and discharging of the system is very different, so the output spectrum is divided into two working conditions: charging and discharging, and the discharge current is negative. Figure 7 is a schematic diagram of heat generation of a battery cell provided according to an embodiment of the present invention, Figure 8 is a schematic diagram of another battery cell heat generation according to an embodiment of the present invention, referring to Figure 7 and Figure 8 For example, when the ambient temperature is 20℃, the voltage is 100V, the current is 200A, the power is 20kW, the resistance is 2mΩ, and the heat generation is 600W, the temperature distribution is as follows: Figure 7 When the ambient temperature is 20℃, the voltage is 45V, the current is 150A, the power is 7kW, the resistance is 1.2mΩ, and the heat generation is 200W, the temperature distribution is as follows Figure 8 shown.

[0073] Fig. 9 is a schematic diagram of a power curve provided according to an embodiment of the present invention, with reference to Fig. 9 Optionally, according to the repetitive regularity of the daily power curve of the energy storage module, predicting and judging the power consumption trend of the energy storage module specifically includes: iteratively fitting the trend prediction curve according to the daily power curve to obtain a new power prediction curve.

[0074] Specifically, the temperature, voltage, current, and pressure difference of the energy storage module are sampled, the electric power and internal resistance are calculated, and the future electric power and internal resistance curves are fitted through a neural algorithm. At the same time, the fitting curve is iteratively optimized based on the latest daily data, and the trend prediction accuracy is improved through self-learning.

[0075] Fig.10 is a schematic diagram of another power curve provided according to an embodiment of the present invention, referring to Fig.10 , taking power trend prediction as an example, Fig.10 The power curve of a certain energy storage module for 5 natural days is fitted to obtain the power trend prediction curve for the day. According to today's actual electric load curve B, it is iteratively fitted with the original trend prediction curve A to obtain a new iterative trend prediction curve C.

[0076] Fig.11 This is a precise calorific value calculation control flow chart provided according to an embodiment of the present invention, referring to Fig.11 Optionally, the control strategy of the energy storage thermal management system is determined according to the electric-thermal coupling map and the power consumption trend, including precise heat generation calculation control, and the precise heat generation calculation control includes: collecting the temperature, voltage and current of the battery cell and importing them into a pre-established electric-thermal coupling model to obtain the calculated heating power after simulation operation, importing the capacitor box power and the capacitor box temperature into the heating experience calculation model to obtain the empirical heating power, checking the consistency of the calculated heating power and the empirical heating power, outputting the normalized heating value, and making a decision on the control strategy.

[0077] Specifically, the temperature, voltage, and current of the battery cell are collected and imported into the pre-established electric-thermal coupling model, and the heating power is calculated through model simulation. The power and temperature of the capacitor box are imported into the heating experience calculation model to calculate the empirical heating power. The calculated heating power is checked for consistency with the empirical heating power, and the normalized heating value is output for the BMS control module to make control strategy decisions.

[0078] Fig.12 is a power consumption trend prediction flow chart provided according to an embodiment of the present invention, referring to Fig.12 Optionally, the control strategy of the energy storage thermal management system is determined according to the electric-thermal coupling map and the power consumption trend, including power consumption trend prediction. The power consumption trend prediction includes: collecting and calculating the current power, and performing a power consumption trend curve consistency check on the current power and the power curve of the previous 1h~nh. If the check is consistent, the heating value trend of the future preset time is calculated according to the current power and the power consumption trend, and the control strategy decision is made; if the check is inconsistent, the power curve consistency check is performed on the previous (n-1) power curve to the previous 1h power curve, and the consistency check is performed on the power consumption trend curve, and it is recursively performed in sequence until the consistency check of the power consumption trend curve is satisfied.

[0079] Specifically, the preset time can be 15 minutes. Collect and calculate the current power, import the current power and the power curve of the previous 1h~nh, and perform consistency check on the power consumption trend curve. If the check is consistent, it means that the power consumption trend of the day is consistent. According to the current power and power consumption trend, the heat generation trend of the next 15 minutes is calculated for the BMS control module to make control strategy decisions. If the check is inconsistent, it means that the power consumption trend of the day has a certain deviation. Then take the power curves from the previous (n-1) to the previous 1h to check the consistency, and recursively until the consistency is met. If the consistency is met in the previous 3 hours, the power 3 hours ago is different from usual. Calculate the average deviation outside 3 hours, and the heat generation trend of the next 15 minutes is obtained based on the 3-hour prediction curve + average deviation.

[0080] Optionally, the control strategy of the energy storage thermal management system is determined according to the electric-thermal coupling map and the power consumption trend, including: adjusting the speed of the compressor in the air-conditioning unit to control the cooling power, adjusting the speed of the fan in the capacitor box to control the heat exchange amount, adjusting the speed of the cooling water pump to control the total flow of the coolant, and adjusting the opening of the flow control valve of the water tank to control the water flow of each branch.

[0081] Specifically, the control of the energy storage thermal management system is to send control signals through the BMS control module, adjust the speed of the compressor in the air-conditioning unit to control the cooling power, adjust the fan speed in the capacitor box to control the heat exchange in the box, adjust the speed of the cooling water pump to control the total flow of the system coolant, manually or electrically adjust the opening of the flow control valve of the water tank to control the water flow of each branch, and adjust the temperature of the energy storage thermal management system. Through the above precise control means, the cooling capacity of the energy storage thermal management system is comprehensively adjusted to achieve precise control, meet the cooling target, and save energy.

[0082] Fig.13 is a diagram of a precise control strategy for energy storage thermal management provided according to an embodiment of the present invention, refer to Fig.13 , optionally, determine whether the speed of the fan is the maximum value, if not, adjust the speed of the fan and continue to determine whether the temperature of the energy storage module exceeds the first preset condition; if the speed of the fan is the maximum value, determine whether the flow of the flow regulating valve is the maximum value; if not, increase the flow of the flow regulating valve and continue to determine whether the temperature of the energy storage module exceeds the first preset condition; if the flow of the flow regulating valve is the maximum value, determine whether the duty cycle of the cooling water pump is the maximum value; if not, increase the duty cycle of the cooling water pump and continue to determine whether the temperature of the energy storage module exceeds the first preset condition; if the duty cycle of the cooling water pump is the maximum value, determine whether the cooling power of the compressor in the air-conditioning unit is the maximum value; if not, increase the cooling power of the compressor in the air-conditioning unit, and reduce the flow regulating valve of the energy storage module that is not overheated and continue to determine whether the temperature of the energy storage module exceeds the first preset condition.

[0083] Specifically, taking the current heat generation or future heat generation trend at a certain moment as greater than the current cooling effect as an example, a control strategy is described. As shown in the strategy diagram, based on the input, the BMS control module determines whether it is necessary to improve the cooling effect. If it is determined to be necessary, the BMS control module first sends a control signal to the fan to adjust and increase the fan speed in steps of 10%. Detect whether the temperature difference is relieved. If the fan has reached the maximum speed and the temperature difference has not been alleviated, the BMS control module further sends a control signal to the flow control valve to adjust and increase the flow of the circuit in steps of 5%. Use the flow sensor to detect whether the flow of the circuit has increased and whether the temperature difference has been alleviated. If the flow control valve opening has reached the maximum and the temperature difference has not been alleviated, the BMS control module further sends a control signal to the cooling water pump to adjust the duty cycle of the cooling water pump in steps of 10%. Detect whether the temperature difference has been alleviated. If the duty cycle of the cooling water pump has reached the maximum and the temperature difference has not been alleviated, the BMS control module will further send a control signal to the compressor in the air-conditioning unit to increase the compressor speed (cooling capacity) in the air-conditioning unit in steps of 5%, and send a control signal to the flow control valve of other capacitor boxes to reduce the flow of other circuits in steps of (3 / n)%. Check whether the flow of the flow sensor of other capacitor boxes has decreased, whether the temperature in other capacitor boxes has changed, and whether the temperature difference has been alleviated. If the temperature difference is still not alleviated, an over-temperature alarm signal will be sent to the control center to notify the staff to prevent and repair in time.

[0084] Fig.14 is a schematic diagram of a structure of an energy storage thermal management system provided according to an embodiment of the present invention, with reference to Fig.14 The embodiment of the present invention further provides an energy storage thermal management system, which includes: a cooling module 10 and an energy storage module 20; the cooling module 10 includes an air conditioning unit 101, a cooling water pump 102 and a water tank 103, the first end of the air conditioning unit 101 is connected to the cooling water pump 102, the second end of the air conditioning unit 101 is connected to the water tank 103, the cooling water pump 102 and the water tank 103 are respectively connected to the energy storage module 20; the energy storage module 20 includes a capacitor box 210, the capacitor box 210 is composed of a plurality of battery cells 211 and a fan, and the water tank 103 includes a flow regulating valve.

[0085] Specifically, the energy storage thermal management system also includes a BMS control module, which is used to make decisions on the control strategy of the high-power energy storage thermal management system. The air conditioning unit 101 includes a compressor, which is used to compress the refrigerant gas into a low-temperature gas for cooling the energy storage module 20. The capacitor box 210 includes a battery cell 211, a fan and a heat exchanger. The heat exchanger is used to cool the high-temperature gas generated by heat dissipation into a low-temperature gas, and is cooled under the action of the cooled airflow. The energy storage module 20 can achieve uniform heat dissipation under the cooling of the low-temperature airflow. The gas blown out by the fan is used to cool the energy storage module 20. The flow regulating valve is integrated with the water tank. The flow rate of the water in the water tank is controlled by the opening of the flow regulating valve. The cooling water pump provides long-lasting low-temperature cooling water for the energy storage thermal management system, thereby achieving cooling of the energy storage module 20.

[0086] The energy storage thermal management system provided by the embodiment of the present invention can execute the control method of the energy storage thermal management system provided by any of the above embodiments, and has a structure for executing the control method of the energy storage thermal management system. Therefore, the energy storage thermal management system provided by the embodiment of the present invention has the beneficial effects described in any of the above embodiments.

[0087] Fig.15 is a schematic diagram of a control device for an energy storage thermal management system according to an embodiment of the present invention, with reference to Fig.15 The embodiment of the present invention further provides a control device for an energy storage thermal management system, which can be configured in an electronic device. The control device for the energy storage thermal management system includes: an electric-thermal coupling map determination module 201, which is used to form an electric-thermal coupling map of a battery cell through an electric-thermal coupling simulation technology; a prediction and judgment module 202, which is used to predict and judge the power consumption trend of the energy storage module according to the regular characteristics of the daily power curve of the energy storage module; and a control strategy determination module 203, which is used to form a control strategy for the energy storage thermal management system according to the electric-thermal coupling map and the power consumption trend.

[0088] The control device of the energy storage thermal management system can execute the control method of the energy storage thermal management system provided by any embodiment of the present invention, and has the corresponding functional modules and beneficial effects for executing the control method of the energy storage thermal management system.

[0089] Continue to refer Fig.15 Optionally, the electro-thermal coupling map determination module 201 is also used to construct a microscopic electrode model for the battery cell and to mesh the battery cell; based on the microscopic electrode model, an electric potential is given to the electrode of the battery cell to form a voltage and a current; simulation calculations are performed according to the mesh division to output the calorific value of the battery cell under different electrical parameters; the calorific value of the energy storage module is calculated according to the calorific value of the battery cell to form an electro-thermal coupling map.

[0090] Continue to refer Fig.15Optionally, the prediction judgment module 202 is also used to iteratively fit the trend prediction curve according to the daily power curve to obtain a new power prediction curve.

[0091] Continue to refer Fig.15 Optionally, the control strategy determination module 203 is also used to collect the temperature, voltage and current of the battery cell and import them into a pre-established electric-thermal coupling model to obtain the calculated heating power after simulation operation, import the capacitor box power and the capacitor box temperature into the heating experience calculation model to obtain the empirical heating power, check the consistency of the calculated heating power and the empirical heating power, output the normalized heating value, and make a decision on the control strategy.

[0092] The above specific implementations do not constitute a limitation on the protection scope of the present invention. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions can be made according to design requirements and other factors. Any modification, equivalent substitution and improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. A control method for an energy storage thermal management system, characterized in that: The energy storage thermal management system comprises a cooling module and an energy storage module, the cooling module comprises an air conditioning unit, a cooling water pump and a water tank, the first end of the air conditioning unit is connected to the cooling water pump, the second end of the air conditioning unit is connected to the water tank, the cooling water pump and the water tank are respectively connected to the energy storage module; the energy storage module comprises a capacitor box, the capacitor box is composed of a plurality of battery cells and a fan; the water tank comprises a flow regulating valve; the control method comprises: Determine the electric-thermal coupling spectrum of the battery cell by electric-thermal coupling simulation technology; According to the regular characteristics of the repetition of the daily power curve of the energy storage module, the power consumption trend of the energy storage module is predicted and judged; The control strategy of the energy storage thermal management system is determined according to the electric-thermal coupling map and the power usage condition trend.

2. The method according to claim 1, characterized in that: Determining the electric-thermal coupling spectrum of the battery cell by the electric-thermal coupling simulation technology specifically includes: Constructing a microscopic electrode model for the battery cell and meshing the battery cell; Based on the microscopic electrode model, an electric potential is applied to the electrodes of the battery cell to form a voltage and a current; Perform simulation calculations according to the grid division, and output the calorific value of the battery cell under different electrical parameters; The heat value of the energy storage module is calculated according to the heat value of the battery cell to form an electric-thermal coupling map.

3. The method according to claim 1, characterized in that The predicting and judging the power usage trend of the energy storage module according to the repetitive regular characteristics of the daily power curve of the energy storage module specifically includes: iteratively fitting the trend prediction curve according to the daily power curve to obtain a new power prediction curve.

4. The method according to claim 1, characterized in that: The control strategy of the energy storage thermal management system determined according to the electric-thermal coupling map and the power usage trend includes precise calorific value calculation control, and the precise calorific value calculation control includes: The temperature, voltage and current of the battery cell are collected and introduced into a pre-established electric-thermal coupling model to obtain the calculated heating power after simulation operation. The capacitor box power and the capacitor box temperature are introduced into the heating experience calculation model to obtain the empirical heating power. The calculated heating power and the empirical heating power are checked for consistency, the normalized heating value is output, and the control strategy decision is made.

5. The method according to claim 1, characterized in that The control strategy of the energy storage thermal management system determined according to the electric-thermal coupling map and the power consumption condition trend includes power consumption trend prediction, and the power consumption trend prediction includes: Collect and calculate the current power, and check the consistency of the power consumption trend curve between the current power and the power curve of the previous 1h~nh. If the check is consistent, calculate the heat generation trend of the future preset time according to the current power and the power consumption trend, and make a decision on the control strategy; If the check is inconsistent, the previous (n-1) power curve to the previous 1h power curve are taken to perform the consistency check of the power consumption trend curve, and the process is repeated in sequence until the consistency check of the power consumption trend curve is satisfied.

6. The method according to claim 1, characterized in that Determining the control strategy of the energy storage thermal management system according to the electric-thermal coupling map and the power usage condition trend includes: The speed of the compressor in the air-conditioning unit is adjusted to control the cooling power, the speed of the fan in the capacitor box is adjusted to control the heat exchange, the speed of the cooling water pump is adjusted to control the total flow of the coolant, and the opening of the flow regulating valve of the water tank is adjusted to control the water flow of each branch.

7. The method according to claim 6, characterized in that Determine whether the speed of the fan is a maximum value, and if not, adjust the speed of the fan and then continue to determine whether the temperature of the energy storage module exceeds a first preset condition; If the speed of the fan is at the maximum value, determining whether the flow rate of the flow regulating valve is at the maximum value; if not, increasing the flow rate of the flow regulating valve and continuing to determine whether the temperature of the energy storage module exceeds the first preset condition; If the flow rate of the flow regulating valve is at a maximum value, determining whether the duty cycle of the cooling water pump is at a maximum value; if not, increasing the duty cycle of the cooling water pump and continuing to determine whether the temperature of the energy storage module exceeds a first preset condition; If the duty cycle of the cooling water pump is at a maximum value, it is determined whether the cooling power of the compressor in the air-conditioning unit is at a maximum value; if not, the cooling power of the compressor in the air-conditioning unit is increased, and the flow regulating valve of the energy storage module that is not overheated is reduced, and then it is continued to determine whether the temperature of the energy storage module exceeds the first preset condition.

8. The method according to claim 2, characterized in that: The electrical parameter includes at least one of voltage, current, power and internal resistance.

9. A control device for an energy storage thermal management system, which is controlled by the control method for an energy storage thermal management system according to any one of claims 1 to 8, characterized in that: include: An electric-thermal coupling spectrum determination module, used for forming an electric-thermal coupling spectrum of the battery cell by electric-thermal coupling simulation technology; A prediction and judgment module, used to predict and judge the power consumption trend of the energy storage module according to the regular characteristics of the daily power curve of the energy storage module; A control strategy determination module is used to form a control strategy for the energy storage thermal management system according to the electric-thermal coupling map and the power usage condition trend.

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