Battery preheating control method of energy storage equipment, computer equipment and storage medium

Abstract

The invention relates to an energy storage equipment battery preheating control method, computer equipment and a storage medium, and relates to the technical field of battery temperature adjustment control. According to the method, the heat influence parameters of the energy storage equipment are obtained, the energy storage equipment temperature control equation is constructed according to the heat influence parameters, and the control signals for controlling the water supply temperature and the air supply temperature can be generated based on the heat influence parameter values at the heating starting time point; the direct-current fast charging peak power temperature of the energy storage equipment at the heating starting time point is accurately controlled, the charging time of direct-current fast charging is shortened by achieving the peak power of a battery cell, and the response speed and precision of preheating control over the battery of the energy storage equipment are improved.

Description

Technical Field

[0001] This application relates to the technical field of battery temperature control, and particularly to a method for controlling preheating of batteries in energy storage devices, a computer device, and a storage medium. Background Art

[0002] When the battery in an energy storage device discharges, heat is generated. At this time, air cooling or water cooling is usually used to dissipate heat from the battery in the energy storage device. In addition, when the energy storage device is on standby, the battery temperature will drop to room temperature. When changing from the standby state to charging the battery, if the energy storage device is in a low-temperature environment or in a long-term low-temperature area, the charging rate is very slow due to the very low battery temperature. Due to the characteristics of the battery, only when the core temperature of the battery is about 25°C can the peak power be achieved during DC fast charging. When the core temperature of the battery is relatively low, peak power charging cannot be performed, and the air conditioning system and PTC (thermistor) will be started to heat the battery or the energy storage device. It takes about 60 minutes of heating time at most for the core to reach the working temperature of about 25°C. Considering the usage environment of the energy storage device in the northern winter, if the charging time of DC fast charging can be shortened, the charging efficiency will be improved. However, limited by the fact that the time for starting the air conditioning system and PTC to heat the core of the battery to reach the working temperature of about 25°C cannot be effectively shortened, how to reasonably shorten the charging time of DC fast charging has become an urgent technical problem to be solved. Summary of the Invention

[0003] Based on this, a method for controlling preheating of batteries in energy storage devices, a computer device, and a storage medium are provided to solve the technical problem that when charging the battery in an energy storage device currently, the core of the battery cannot reach the peak power to shorten the charging time of DC fast charging.

[0004] On the one hand, a method for controlling preheating of batteries in energy storage devices is provided. The energy storage device is provided with a water circulation system and an air conditioning system. The energy storage device includes a chamber surrounded by vertical side plates and a horizontal partition. A battery is arranged in the chamber, and the water circulation pipeline of the water circulation system is arranged in the horizontal partition. The method includes: Obtaining the thermal influence parameters of the energy storage device, and constructing a temperature control equation of the energy storage device according to the thermal influence parameters; Obtaining the used power and remaining power of the battery of the energy storage device, and judging whether the energy storage device needs to be charged according to the used power and remaining power of the battery; In response to the energy storage device needing to be charged, detecting the real-time temperature of the battery of the energy storage device, calculating the start heating time when the battery is heated to the DC fast charging peak power temperature according to the real-time temperature of the battery, and taking the difference between the start heating time and the current moment as the preheating duration; The DC fast charging peak power temperature is used as the target value of the heat impact parameter at the start of the heating time and is input into the temperature control equation of the energy storage device. The temperature control equation of the energy storage device generates a control signal for controlling the water supply temperature and the air supply temperature within the preheating time according to the lowest water supply temperature of the water circulation pipeline, the lowest air supply temperature of the air conditioning system, and the lowest energy efficiency cost, demand deviation cost, and temperature adjustment operation cost; According to the control signal, the water circulation system and the air conditioning system are controlled to raise the temperature in the energy storage device to the DC fast charging peak power temperature at the start heating time, and the battery of the energy storage device starts to be charged at the start heating time.

[0005] In one embodiment, obtaining the thermal influence parameters of the energy storage device and constructing the temperature control equation of the energy storage device according to the thermal influence parameters includes: Classifying the thermal influence parameters into a state vector matrix X and an input vector matrix U; Obtain a first coefficient matrix A corresponding to the state vector matrix X and a second coefficient matrix B corresponding to the input vector matrix U according to a thermal resistance and heat capacity energy balance relationship between the parameters in the state vector matrix X and the parameters in the input vector matrix U; The state vector matrix X is multiplied by the first coefficient matrix A and then summed with the input vector matrix U multiplied by the second coefficient matrix B to form an energy storage device temperature control equation, and the energy storage device temperature control equation is Q=AX+BU.

[0006] In one embodiment, the classifying the thermal impact parameters into a state vector matrix X and an input vector matrix U comprises: Obtain the state vector matrix X of the energy storage device, wherein the parameters in the state vector matrix X include the average temperature of the water circulation pipeline in the horizontal partition , Dry bulb temperature in the cabin , the temperature inside the vertical side panel and the temperature of the outside of the vertical side panels ,but ; Obtain the input vector matrix U of the energy storage device, the parameters in the input vector matrix U include the water supply temperature of the pipeline fluid in the horizontal partition , air supply temperature of air conditioning system , Dry bulb temperature outside the cabin , Heat dissipation of batteries in the cabin And the heat radiation intensity outside the cabin ,but .

[0007] In one embodiment, obtaining the first coefficient matrix A corresponding to the state vector matrix X and the second coefficient matrix B corresponding to the input vector matrix U according to the thermal resistance, heat capacity, and energy balance relationship between the parameters in the state vector matrix X and the parameters in the input vector matrix U includes: Set thermal resistance and heat capacity between the parameters in the state vector matrix X and the parameters in the input vector matrix U to form a thermal resistance-heat capacity model; Write a set of linear differential equations based on the energy balance of various states in the thermal resistance-heat capacity model as follows: , , , ; where g wd is the thermal radiation transmittance of the vertical side plate, and R1 is the average temperature of the water circulation pipeline in the horizontal partition and the dry bulb temperature in the cabin between the thermal resistances, R2 is the supply air temperature of the air conditioning system and the dry bulb temperature outside the cabin between the thermal resistances, R3 is the average temperature of the water circulation pipeline in the horizontal partition and the water supply temperature of the pipeline fluid in the horizontal partition between the thermal resistances, R4 is the supply air temperature of the air conditioning system and the dry bulb temperature in the cabin between the thermal resistances, R5 is the dry bulb temperature in the cabin and the temperature outside the vertical side plate between the thermal resistances, R6 is the dry bulb temperature outside the cabin and the temperature outside the vertical side plate between the thermal resistances, R7 is the dry bulb temperature in the cabin and the temperature inside the vertical side plate between the thermal resistances, is the average temperature of the water circulation pipeline in the horizontal partition and the heat capacity between the horizontal partition, is the temperature outside the vertical side plate and the heat capacity between the horizontal partition, is the temperature inside the vertical side plate and the heat capacity between the horizontal partition, is the dry bulb temperature in the cabin and the heat capacity between the horizontal partition; Obtaining the first coefficient matrix A corresponding to the state vector matrix X is as follows: ; Obtaining the second coefficient matrix B corresponding to the input vector matrix U is as follows: .

[0008] In one embodiment, taking the minimum of the energy efficiency cost, demand deviation cost, and temperature control operation cost includes: Setting the objective function of the energy storage device temperature control equation , where is the energy efficiency cost at the k-th moment, is the demand deviation cost at the k-th moment, is the temperature control operation cost at the k-th moment, is the weight coefficient of the energy efficiency cost, is the weight coefficient of the demand deviation cost, is the weight coefficient of the temperature control operation cost, is the preheating duration, is the number of time segments after dividing the preheating duration into multiple time segments; Combining the energy storage device temperature control equation with the objective function to obtain , and generating a control signal for controlling the supply water temperature and the supply air temperature after solving.

[0009] In one embodiment, in the objective function, The energy efficiency cost at the k-th moment is , where is the heating power value of the unit at the k-th moment, is the cooling power value of the unit at the k-th moment, is the heating coefficient of the unit, is the cooling coefficient of the unit; The demand deviation cost at the k-th moment is , , , where is the deviation value between the cabin temperature and the upper limit of the thermal comfort temperature at the k-th moment, is the deviation value between the cabin temperature and the lower limit of the thermal comfort temperature at the k-th moment; The temperature control operation cost at the k-th moment is , where is the cost of energy consumption at the k-th moment, is the cost of equipment maintenance and repair at the k-th moment, is the cost of system scheduling and management at the k-th moment.

[0010] In one embodiment, obtaining the used power and remaining power of the battery of the energy storage device, and determining whether the energy storage device needs to be charged according to the used power and remaining power of the battery includes: Identifying the low - price period and high - price period of the electricity price according to the external network electricity price, and obtaining the low - price period and high - price period of the electricity price; Obtaining the normal power consumption P1, normal power consumption duration t1, peak power consumption P2 and peak power consumption duration t2 according to historical power consumption data, and obtaining the predicted power consumption as P1×t1 + P2×t2; Obtaining the endurance duration of the energy storage device according to the remaining power of the battery of the energy storage device and the predicted power consumption; If the current time is in the high - price period of the electricity price, and the end time of the endurance duration is within the high - price period of the electricity price, it is determined that the energy storage device does not need to be charged, and the power supply mode is controlled to switch to the external power grid when the remaining power of the battery of the energy storage device is used up; If the current time is in the high - price period of the electricity price, and the end time of the endurance duration is within the low - price period of the electricity price, it is determined that the energy storage device needs to be charged, and the start time of the low - price period is used as the start time of charging.

[0011] If the current time is within the low - price period of the electricity price, it is determined that the energy storage device needs to be charged.

[0012] In one embodiment, generating the control signal for controlling the water supply temperature and the air supply temperature within the pre - heating duration includes: Monitoring the parameter value X(k) of the state vector matrix X of the energy storage device at the current k - th moment, and obtaining the predicted parameter value X(k + 1|k) of the state vector matrix X at the (k + 1) - th moment based on the parameter value X(k) of the state vector matrix X at the current k - th moment; Obtaining the comfortable temperature in the cabin at the current k - th moment as , dividing the pre - heating duration into multiple time periods to adjust the temperature in the cabin step by step, and the comfortable temperature in the cabin corresponding to the i - th time period within the pre - heating duration after the current k - th moment is , setting the comfortable temperature adjustment method in the cabin as ; Setting the dry - bulb temperature outside the cabin at the current k - th moment , the heat dissipation of the battery in the cabin and the outdoor heat radiation intensity as a set , and the dry - bulb temperature outside the cabin corresponding to the i - th time period within the pre - heating duration after the current k - th moment , the heat dissipation of the battery in the cabin and the outdoor heat radiation intensity Set as , set the dry-bulb temperature outside the cabin , heat dissipation of the battery inside the cabin and the outdoor heat radiation intensity The set adjustment method is ; Based on the comfort temperature adjustment method inside the cabin and the dry-bulb temperature outside the cabin , the heat dissipation of the battery inside the cabin and the outdoor heat radiation intensity Set adjustment method , obtain the predicted parameter value of the input vector matrix U of the energy storage device at the (k + 1)-th moment; Generate control signals for controlling the water supply temperature and the air supply temperature within the preheating duration according to the predicted parameter value of the input vector matrix U at the (k + 1)-th moment.

[0013] On the other hand, a computer device is provided, including a memory, a processor, and a computer program stored on the memory and executable on the processor. When the processor executes the computer program, the steps of the battery preheating control method for the energy storage device are implemented.

[0014] On another aspect, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the steps of the battery preheating control method for the energy storage device are implemented.

[0015] The above battery preheating control method for the energy storage device, computer device, and storage medium obtain the thermal influence parameters of the energy storage device, construct a temperature control equation for the energy storage device according to the thermal influence parameters, and can generate control signals for controlling the water supply temperature and the air supply temperature based on the thermal influence parameter values at the start heating time point, so as to accurately control the DC fast charging peak power temperature of the energy storage device at the start heating time point, enable the battery cells to reach the peak power to shorten the charging time of DC fast charging, and improve the response speed and accuracy of the battery preheating control of the energy storage device. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following will briefly introduce the drawings required for the description of the embodiments. Obviously, the drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can be obtained according to these drawings.

[0017] Figure 1 is a schematic flowchart of the battery preheating control method for the energy storage device in an embodiment of the present application; Figure 2 The structural block diagram of the thermal resistance-thermal capacitance model in an embodiment of the present application; Figure 3 The control logic diagram based on model predictive control in an embodiment of the present application; Figure 4 The internal structure diagram of a computer device in an embodiment of the present application. Detailed implementation manners

[0018] In order to make the objectives, technical solutions and advantages of the present application clearer, the present application will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application, and are not used to limit the present application.

[0019] In one embodiment, as Figure 1 shown, a battery preheating control method for an energy storage device is provided. The energy storage device is provided with a water circulation system and an air conditioning system. The energy storage device includes a cabin surrounded by vertical side plates and a horizontal partition. A battery is arranged in the cabin, and the water circulation pipeline of the water circulation system is arranged in the horizontal partition; the method includes: S1. Obtain the thermal influence parameters of the energy storage device, and construct a temperature control equation of the energy storage device according to the thermal influence parameters; S2. Obtain the used power and remaining power of the battery of the energy storage device, and judge whether the energy storage device needs to be charged according to the used power and remaining power of the battery; S3. In response to the energy storage device needing to be charged, detect the real-time temperature of the battery of the energy storage device, calculate the start heating time when the battery is heated to the direct current fast charging peak power temperature according to the real-time temperature of the battery, and use the difference between the start heating time and the current moment as the preheating duration; S4. Take the direct current fast charging peak power temperature as the target value of the thermal influence parameter at the start heating time and input it into the temperature control equation of the energy storage device. The temperature control equation of the energy storage device generates control signals for controlling the water supply temperature and the air supply temperature within the preheating duration with the lowest water supply temperature of the water circulation pipeline, the lowest air supply temperature of the air conditioning system, and the minimum energy efficiency cost, demand deviation cost, and temperature adjustment operation cost as the objectives; S5. Control the water circulation system and the air conditioning system according to the control signals to raise the temperature in the energy storage device from the start heating time to the direct current fast charging peak power temperature, and start charging the battery of the energy storage device at the start heating time.

[0020] Specifically, by obtaining the heat influence parameters of the energy storage device, the temperature control equation of the energy storage device is constructed according to the heat influence parameters, and based on the heat influence parameter values at the start of heating, a control signal for controlling the water supply temperature and the air supply temperature can be generated, thereby achieving precise control of the DC fast charging peak power temperature of the energy storage device at the start of heating, achieving the peak power of the battery cell to shorten the DC fast charging time, and improving the response speed and accuracy of the battery preheating control of the energy storage device.

[0021] In this embodiment, the obtaining of the heat influence parameters of the energy storage device and constructing the temperature control equation of the energy storage device according to the heat influence parameters include: Classifying the thermal influence parameters into a state vector matrix X and an input vector matrix U; Obtain a first coefficient matrix A corresponding to the state vector matrix X and a second coefficient matrix B corresponding to the input vector matrix U according to a thermal resistance and heat capacity energy balance relationship between the parameters in the state vector matrix X and the parameters in the input vector matrix U; The state vector matrix X is multiplied by the first coefficient matrix A and then summed with the input vector matrix U multiplied by the second coefficient matrix B to form an energy storage device temperature control equation, and the energy storage device temperature control equation is Q=AX+BU.

[0022] This embodiment constructs a heat-activated building system control model by corresponding to the energy storage device, classifies the heat-affected parameters in the model into a state vector matrix X and an input vector matrix U, and uses the thermal resistance and heat capacity energy balance relationship between the parameters to obtain the first coefficient matrix A corresponding to the state vector matrix X and the second coefficient matrix B corresponding to the input vector matrix U, so as to form an accurate temperature control equation for the energy storage device. Based on the values of the heat-affected parameters at the start of heating, control signals for controlling the water supply temperature and the air supply temperature can be generated, so as to achieve precise control of the DC fast charging peak power temperature of the energy storage device at the start of heating.

[0023] In this embodiment, the classifying the thermal impact parameters into a state vector matrix X and an input vector matrix U includes: Obtain the state vector matrix X of the energy storage device, wherein the parameters in the state vector matrix X include the average temperature of the water circulation pipeline in the horizontal partition , Dry bulb temperature in the cabin , the temperature inside the vertical side panel and the temperature of the outside of the vertical side panels ,but ; Obtain the input vector matrix U of the energy storage device, the parameters in the input vector matrix U include the water supply temperature of the pipeline fluid in the horizontal partition , air supply temperature of air conditioning system , Dry bulb temperature outside the cabin 、The heat dissipation of the battery in the cabin and the outdoor heat radiation intensity , then .

[0024] Among them, the average temperature of the water circulation pipeline in the horizontal partition , the dry-bulb temperature in the cabin , the temperature on the inner side of the vertical side plate and the temperature on the outer side of the vertical side plate , the water supply temperature of the pipeline fluid in the horizontal partition , the air supply temperature of the air conditioning system , the dry-bulb temperature outside the cabin are in the unit of °C, and the heat dissipation of the battery in the cabin and the outdoor heat radiation intensity are in the unit of W.

[0025] In this embodiment, obtaining the first coefficient matrix A corresponding to the state vector matrix X and the second coefficient matrix B corresponding to the input vector matrix U according to the heat resistance and heat capacity energy balance relationship between the parameters in the state vector matrix X and the parameters in the input vector matrix U includes: Setting heat resistance and heat capacity between the parameters in the state vector matrix X and the parameters in the input vector matrix U to form a heat resistance-capacity model; the heat resistance-capacity model is as Figure 2 shown; Writing a set of linear differential equations according to the energy balance of various states in the heat resistance-capacity model as follows: , , , ; where g wd is the heat radiation transmittance of the vertical side plate, R1 is the average temperature of the water circulation pipeline in the horizontal partition and the dry-bulb temperature in the cabin between the heat resistance, R2 is the air supply temperature of the air conditioning system and the dry-bulb temperature outside the cabin between the heat resistance, R3 is the average temperature of the water circulation pipeline in the horizontal partition and the water supply temperature of the pipeline fluid in the horizontal partition between the heat resistance, R4 is the air supply temperature of the air conditioning system and the dry-bulb temperature in the cabin between the heat resistance, R5 is the dry-bulb temperature in the cabin The thermal resistance between the temperature outside the vertical side plate R6 is the dry bulb temperature outside the cabin and the temperature outside the vertical side plate The thermal resistance between them, R7 is the dry bulb temperature inside the cabin and the temperature inside the vertical side plate The thermal resistance between them, is the average temperature of the water circulation pipeline inside the horizontal partition and the heat capacity between the horizontal partition, is the temperature outside the vertical side plate and the heat capacity between the horizontal partition, is the temperature inside the vertical side plate and the heat capacity between the horizontal partition, is the dry bulb temperature inside the cabin and the heat capacity between the horizontal partition; Obtain the first coefficient matrix A corresponding to the state vector matrix X as: ; Obtain the second coefficient matrix B corresponding to the input vector matrix U as: .

[0026] In the formula, is the heat capacity between building components (J / kg·℃); is the thermal resistance between building components (℃ / W).

[0027] It can be understood that after obtaining the values of the first coefficient matrix A corresponding to the state vector matrix X and the second coefficient matrix B corresponding to the input vector matrix U, the energy storage device temperature control equation Q = AX + BU can be theoretically solved.

[0028] In this embodiment, the goal of minimizing the energy efficiency cost, demand deviation cost, and temperature control operation cost includes: Set the target function corresponding to the energy storage device temperature control equation with the lowest water supply temperature of the pipeline fluid inside the horizontal partition and the goal of minimizing the energy efficiency cost, demand deviation cost, and temperature control operation cost , where is the energy efficiency cost at the k-th moment, is the demand deviation cost at the k-th moment, is the temperature control operation cost at the k-th moment, is the weight coefficient of the energy efficiency cost, is the weight coefficient of the demand deviation cost, is the weight coefficient of the temperature control operation cost, is the preheating duration, The number of time periods after the preheating time is divided into multiple time periods; The temperature control equation of the energy storage device is combined with the objective function to obtain , after solving, control signals for controlling the water supply temperature and the air supply temperature are generated.

[0029] Among them, in the objective function, The energy efficiency cost at the kth moment is ,in is the heating power value of the unit at the kth moment, is the cooling power value of the unit at the kth moment, is the heating coefficient of the unit, is the cooling coefficient of the unit (the unit is an air source heat pump and a variable frequency fan); The demand deviation cost at the kth moment is , , ,in is the deviation between the cabin temperature and the upper limit of thermal comfort temperature at the kth moment, is the deviation between the cabin temperature and the lower limit of thermal comfort temperature at the kth moment; The temperature adjustment operation cost at the kth moment is ,in is the cost of energy consumption at the kth moment, is the cost of equipment maintenance and upkeep at the kth moment, is the cost of system scheduling and management at the kth time.

[0030] Wherein, it is preferred that the preheating time is 24 hours, which is divided into 24 time periods, each time period is 1 hour. If it is 24, it means the forecast will be made 24 hours from now. The unit is W 2 ); Demand deviation cost Unit: ℃ 2 ; Temperature control operation cost The unit is Yuan.

[0031] In this embodiment, obtaining the used power and remaining power of the battery of the energy storage device, and judging whether the energy storage device needs to be charged according to the used power and remaining power of the battery includes: Identify the low and peak electricity prices based on the external grid electricity prices, and obtain the low and peak electricity price periods; According to the historical electricity consumption data, obtain the normal electricity power P1, normal electricity consumption duration t1, peak electricity power P2 and peak electricity consumption duration t2, and obtain the predicted electricity power P1×t1+P2×t2; Obtain the endurance duration of the energy storage device based on the remaining power of the battery of the energy storage device and the predicted power consumption. If the current time is the peak electricity price period and the end time of the endurance duration is within the peak electricity price period, determine that the energy storage device does not need to be charged, and control the power supply mode to switch to the external power grid when the remaining power of the battery of the energy storage device is used up. If the current time is the peak electricity price period and the end time of the endurance duration is within the low electricity price period, determine that the energy storage device needs to be charged, and take the start time of the low electricity price period as the start time of charging.

[0032] If the current time is within the low electricity price period, determine that the energy storage device needs to be charged.

[0033] In this embodiment, the generation of the control signal for controlling the water supply temperature and the air supply temperature within the preheating duration includes: Monitor the parameter value X(k) of the state vector matrix X of the energy storage device at the current k-th moment, and obtain the predicted parameter value X(k + 1|k) of the state vector matrix X at the (k + 1)-th moment based on the parameter value X(k) of the state vector matrix X at the current k-th moment. Obtain the comfortable temperature in the cabin at the current k-th moment as , divide the preheating duration into multiple time periods to adjust the temperature in the cabin step by step. The comfortable temperature in the cabin corresponding to the i-th time period within the preheating duration after the current k-th moment is , and set the adjustment method of the comfortable temperature in the cabin as ; Set the dry bulb temperature outside the cabin at the current k-th moment , the heat dissipation of the battery in the cabin and the outdoor heat radiation intensity as a set , the dry bulb temperature outside the cabin corresponding to the i-th time period within the preheating duration after the current k-th moment , the heat dissipation of the battery in the cabin and the outdoor heat radiation intensity as a set , and set the adjustment method of the dry bulb temperature outside the cabin , the heat dissipation of the battery in the cabin and the outdoor heat radiation intensity as a set adjustment method ; Based on the adjustment method of the comfortable temperature in the cabin and the dry bulb temperature outside the cabin , the heat dissipation of the battery in the cabin and the outdoor heat radiation intensity Collective regulation mode , obtain the predicted parameter value of the input vector matrix U of the energy storage device at the (k + 1)-th moment; Generate a control signal for controlling the water supply temperature and the air supply temperature within the preheating duration according to the predicted parameter value of the input vector matrix U at the (k + 1)-th moment.

[0034] In Figure 3 , if the comfortable temperature in the cabin at the current k-th moment is , and the comfortable temperature in the cabin corresponding to the i-th time period within the preheating duration after the k-th moment is , that is, the comfortable temperature regulation mode in the cabin known by the MPC controller is ; if the dry bulb temperature outside the cabin at the current k-th moment is , the heat dissipation of the battery in the cabin , and the outdoor heat radiation intensity are collectively , then the dry bulb temperature outside the cabin corresponding to the i-th time period within the preheating duration after the k-th moment is , the heat dissipation of the battery in the cabin , and the outdoor heat radiation intensity are collectively , that is, the collective regulation mode of the dry bulb temperature outside the cabin , the heat dissipation of the battery in the cabin , and the outdoor heat radiation intensity known by the MPC controller is . Wherein, the preheating duration is divided into Hp time periods, and i takes values of 1 ≤ i ≤ Hp.

[0035] Wherein, the water circulation system includes a variable frequency water pump, and the air conditioning system includes a variable frequency fan. An MPC controller is set to control the variable frequency water pump and the variable frequency fan according to the control signal.

[0036] In this embodiment, the controlling the variable frequency water pump and the variable frequency fan according to the control signal includes: Obtain the value of the state vector matrix X at the current moment, the value of the temperature control equation of the energy storage device at the current moment, and the value of the temperature control equation of the energy storage device affected by heat at the start heating time point, and obtain the value of the heat influence parameter at the start heating time point; According to the value of the state vector matrix X at the current moment, the value of the temperature control equation of the energy storage device at the current moment, the value of the temperature control equation of the energy storage device affected by heat at the start heating time point, and the value of the heat influence parameter at the start heating time point, divide the preheating duration into multiple time periods, generate the value of the input vector matrix U corresponding to each time period, and generate the control signal corresponding to each time period from the value of the input vector matrix U corresponding to each time period; Send the control signals for each time period to the variable-frequency water pump and the variable-frequency fan in chronological order.

[0037] In the above battery preheating control method for the energy storage device, a thermal activation building system control model is constructed for the corresponding energy storage device. The thermal influence parameters in the model are classified into a state vector matrix X and an input vector matrix U. By using the heat resistance and heat capacity energy balance relationship between the parameters, the first coefficient matrix A corresponding to the state vector matrix X and the second coefficient matrix B corresponding to the input vector matrix U are obtained, which can form an accurate temperature control equation for the energy storage device. Based on the numerical values of the thermal influence parameters at the start heating time point, control signals for controlling the water supply temperature and the air supply temperature can be generated, realizing precise control of the direct current fast charging peak power temperature of the energy storage device at the start heating time point, and avoiding the problems of slow response speed and low accuracy in the battery preheating control of the energy storage device.

[0038] In one embodiment, a computer device is provided. The computer device can be a server, and its internal structure diagram can be as Figure 4 shown. The computer device includes a processor, a memory, a network interface, and a database connected through a system bus. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used to store battery preheating control data for the energy storage device. The network interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, it implements a battery preheating control method for the energy storage device.

[0039] Those skilled in the art can understand that Figure 4 the structure shown in

[0040] In one embodiment, a computer device is provided, including a memory, a processor, and a computer program stored on the memory and executable on the processor. When the processor executes the computer program, the following steps are implemented: Obtain the thermal influence parameters of the energy storage device, and construct a temperature control equation for the energy storage device according to the thermal influence parameters; Obtain the used power and remaining power of the battery of the energy storage device, and judge whether the energy storage device needs to be charged according to the used power and remaining power of the battery; In response to detecting the real-time temperature of the battery of the energy storage device when the energy storage device needs to be charged, calculating the start heating time when the battery is heated to the DC fast charging peak power temperature according to the real-time temperature of the battery, and taking the difference between the start heating time and the current time as the preheating duration; Taking the DC fast charging peak power temperature as the target value of the thermal influence parameter at the start heating time and inputting it into the temperature control equation of the energy storage device. The temperature control equation of the energy storage device generates control signals for controlling the water supply temperature and the air supply temperature within the preheating duration with the lowest water supply temperature of the water circulation pipeline, the lowest air supply temperature of the air conditioning system, and the goal of minimizing the energy efficiency cost, the demand deviation cost, and the temperature adjustment operation cost; Controlling the water circulation system and the air conditioning system according to the control signals to raise the temperature inside the energy storage device to the DC fast charging peak power temperature at the start heating time, and starting to charge the battery of the energy storage device at the start heating time.

[0041] For the specific limitations on the steps implemented when the processor executes the computer program, reference can be made to the limitations on the method for preheating control of the energy storage device battery in the above text, which will not be elaborated here.

[0042] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the following steps are implemented: Obtaining the thermal influence parameters of the energy storage device and constructing a temperature control equation for the energy storage device according to the thermal influence parameters; Obtaining the used power and the remaining power of the battery of the energy storage device, and judging whether the energy storage device needs to be charged according to the used power and the remaining power of the battery; In response to detecting the real-time temperature of the battery of the energy storage device when the energy storage device needs to be charged, calculating the start heating time when the battery is heated to the DC fast charging peak power temperature according to the real-time temperature of the battery, and taking the difference between the start heating time and the current time as the preheating duration; Taking the DC fast charging peak power temperature as the target value of the thermal influence parameter at the start heating time and inputting it into the temperature control equation of the energy storage device. The temperature control equation of the energy storage device generates control signals for controlling the water supply temperature and the air supply temperature within the preheating duration with the lowest water supply temperature of the water circulation pipeline, the lowest air supply temperature of the air conditioning system, and the goal of minimizing the energy efficiency cost, the demand deviation cost, and the temperature adjustment operation cost; Controlling the water circulation system and the air conditioning system according to the control signals to raise the temperature inside the energy storage device to the DC fast charging peak power temperature at the start heating time, and starting to charge the battery of the energy storage device at the start heating time.

[0043] For the specific limitations on the steps implemented when the computer program is executed by the processor, reference may be made to the limitations on the method for preheating control of the energy storage device battery in the foregoing text, which will not be elaborated herein.

[0044] Those of ordinary skill in the art can understand that all or part of the processes in the methods of the above embodiments can be completed by instructing relevant hardware through a computer program. The computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above methods. Among them, any reference to a memory, storage, database, or other medium used in the various embodiments provided in the present application can include non-volatile and / or volatile memories. Non-volatile memories can include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), or flash memory. Volatile memories can include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in various forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDR SDRAM), enhanced SDRAM (ESDRAM), synchronous link DRAM (SLDRAM), Rambus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and Rambus dynamic RAM (RDRAM), etc.

[0045] The technical features of the above embodiments can be combined arbitrarily. For the sake of brevity of description, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, it should be considered as the scope described in this specification.

[0046] The above-described embodiments merely represent several implementation manners of the present application. Their descriptions are relatively specific and detailed, but they should not be construed as limiting the scope of the invention patent. It should be noted that for those of ordinary skill in the art, without departing from the concept of the present application, several modifications and improvements can still be made, and these all belong to the protection scope of the present application. Therefore, the protection scope of the patent of the present application shall be subject to the appended claims.

Claims

1. A method for controlling preheating of a battery of an energy storage device, characterized in that, The energy storage device is provided with a water circulation system and an air conditioning system. The energy storage device includes a chamber surrounded by vertical side plates and a horizontal partition. Batteries are arranged in the chamber, and the water circulation pipeline of the water circulation system is arranged in the horizontal partition; The method includes: Obtain the thermal influence parameters of the energy storage device, and construct a temperature control equation for the energy storage device according to the thermal influence parameters; Obtain the used power and remaining power of the battery of the energy storage device, and judge whether the energy storage device needs to be charged according to the used power and remaining power of the battery; In response to the energy storage device needing to be charged, detect the real-time temperature of the battery of the energy storage device, calculate the start heating time when the battery is heated to the DC fast charging peak power temperature according to the real-time temperature of the battery, and use the difference between the start heating time and the current moment as the preheating duration; Use the DC fast charging peak power temperature as the target value of the thermal influence parameter at the start heating time and input it into the temperature control equation of the energy storage device. The temperature control equation of the energy storage device generates control signals for controlling the water supply temperature and the air supply temperature within the preheating duration with the lowest water supply temperature of the water circulation pipeline, the lowest air supply temperature of the air conditioning system, and the minimum energy efficiency cost, demand deviation cost, and temperature adjustment operation cost as the goals; Control the water circulation system and the air conditioning system according to the control signal to raise the temperature in the energy storage device from the start heating time to the DC fast charging peak power temperature, and start charging the battery of the energy storage device at the start heating time.

2. The battery preheating control method for the energy storage device according to claim 1, wherein The obtaining the thermal influence parameters of the energy storage device and constructing a temperature control equation for the energy storage device according to the thermal influence parameters includes: Classify the thermal influence parameters into a state vector matrix X and an input vector matrix U; Obtain a first coefficient matrix A corresponding to the state vector matrix X and a second coefficient matrix B corresponding to the input vector matrix U according to the thermal resistance and heat capacity energy balance relationship between the parameters in the state vector matrix X and the parameters in the input vector matrix U; Multiply the state vector matrix X by the first coefficient matrix A and then sum it with the input vector matrix U multiplied by the second coefficient matrix B to form a temperature control equation for the energy storage device. The temperature control equation for the energy storage device is Q = AX + BU.

3. The battery preheating control method for an energy storage device according to claim 2, wherein The classifying the thermal influence parameters into a state vector matrix X and an input vector matrix U includes: Obtain the state vector matrix X of the energy storage device, and the parameters in the state vector matrix X include the average temperature of the water circulation pipeline in the horizontal partition , the dry bulb temperature in the cabin , the temperature inside the vertical side plate and the temperature outside the vertical side plate , then ; Obtain the input vector matrix U of the energy storage device, where the parameters in the input vector matrix U include the water supply temperature of the pipeline fluid in the horizontal partition , the supply air temperature of the air conditioning system , the dry bulb temperature outside the cabin , the heat dissipation of the battery in the cabin and the outdoor heat radiation intensity of the cabin , then .

4. The battery preheating control method for an energy storage device according to claim 3, wherein The obtaining a first coefficient matrix A corresponding to the state vector matrix X and a second coefficient matrix B corresponding to the input vector matrix U according to the thermal resistance and heat capacity energy balance relationship between the parameters in the state vector matrix X and the parameters in the input vector matrix U includes: Set thermal resistance and heat capacity between the parameters in the state vector matrix X and the parameters in the input vector matrix U to form a thermal resistance-capacity model; Write a set of linear differential equations according to the energy balance of various states in the thermal resistance-capacity model as follows: ， ， ， wherein gwd is the heat radiation transmittance of the vertical side plate, and R1 is the average temperature of the water circulation pipeline in the horizontal partition and the dry-bulb temperature in the cabin the thermal resistance between them, R2 is the supply air temperature of the air conditioning system and the dry-bulb temperature outside the cabin the thermal resistance between them, R3 is the average temperature of the water circulation pipeline in the horizontal partition and the water supply temperature of the pipeline fluid in the horizontal partition the thermal resistance between them, R4 is the supply air temperature of the air conditioning system and the dry-bulb temperature in the cabin the thermal resistance between them, R5 is the dry-bulb temperature in the cabin and the temperature outside the vertical side plate the thermal resistance between them, R6 is the dry-bulb temperature outside the cabin and the temperature outside the vertical side plate the thermal resistance between them, R7 is the dry-bulb temperature in the cabin and the temperature inside the vertical side plate the thermal resistance between them, is the heat capacity between the average temperature of the water circulation pipeline in the horizontal partition and the horizontal partition, is the heat capacity between the temperature outside the vertical side plate and the horizontal partition, is the heat capacity between the temperature inside the vertical side plate and the horizontal partition, is the heat capacity between the dry-bulb temperature in the cabin and the horizontal partition; Obtaining the first coefficient matrix A corresponding to the state vector matrix X is as follows: ; Obtaining the second coefficient matrix B corresponding to the input vector matrix U is as follows: .

5. The battery preheating control method for the energy storage device according to claim 4, characterized in that The taking the minimum of the energy efficiency cost, demand deviation cost, and temperature adjustment operation cost as the goal includes: Set the objective function of the temperature control equation for the energy storage device , where is the energy efficiency cost at the k-th moment, is the demand deviation cost at the k-th moment, is the temperature control operation cost at the k-th moment, is the weight coefficient of the energy efficiency cost, is the weight coefficient of the demand deviation cost, is the weight coefficient of the temperature control operation cost, is the preheating duration, is the number of time segments after dividing the preheating duration into multiple time segments; The temperature control equation of the energy storage device is combined with the objective function to obtain , after solving, control signals for controlling the water supply temperature and the air supply temperature are generated.

6. The battery preheating control method for an energy storage device according to claim 5, wherein In the objective function, The energy efficiency cost at the k-th moment is , where is the heating power value of the unit at the k-th moment, is the cooling power value of the unit at the k-th moment, is the heating coefficient of the unit, is the cooling coefficient of the unit; The demand deviation cost at the k-th moment is , , , where is the deviation value between the cabin temperature and the upper limit of the thermal comfort temperature at the k-th moment, is the deviation value between the cabin temperature and the lower limit of the thermal comfort temperature at the k-th moment. The temperature adjustment operation cost at the k-th moment is , where is the cost of energy consumption at the k-th moment, is the cost of equipment maintenance and repair at the k-th moment, is the cost of system scheduling and management at the k-th moment.

7. The battery preheating control method for an energy storage device according to claim 1, wherein Obtaining the used power and remaining power of the battery of the energy storage device, and determining whether the energy storage device needs to be charged according to the used power and remaining power of the battery includes: Identifying the low-price period and high-price period of the electricity price according to the external network electricity price, and obtaining the low-price period and high-price period of the electricity price; Obtaining the normal power consumption P1, normal power consumption duration t1, peak power consumption P2 and peak power consumption duration t2 according to the historical power consumption data, and obtaining the predicted power consumption as P1×t1 + P2×t2; Obtaining the endurance duration of the energy storage device according to the remaining power of the battery of the energy storage device and the predicted power consumption; If the current moment is the high-price period of the electricity price, and the end time of the endurance duration is within the high-price period of the electricity price, it is determined that the energy storage device does not need to be charged, and the power supply mode is controlled to be switched to the external power grid when the remaining power of the battery of the energy storage device is used up; If the current moment is the high-price period of the electricity price, and the end time of the endurance duration is within the low-price period of the electricity price, it is determined that the energy storage device needs to be charged, and the start time of the low-price period of the electricity price is used as the start time of charging; If the current moment is within the low-price period of the electricity price, it is determined that the energy storage device needs to be charged.

8. The battery preheating control method for the energy storage device according to claim 1, wherein Generating the control signal for controlling the water supply temperature and the air supply temperature within the preheating duration includes: Monitoring the parameter value X(k) of the state vector matrix X of the energy storage device at the current k-th moment, and obtaining the predicted parameter value X(k + 1|k) of the state vector matrix X at the (k + 1)-th moment based on the parameter value X(k) of the state vector matrix X at the current k-th moment; Obtain the comfortable temperature in the cabin at the current k-th moment as , divide the preheating duration into multiple time periods to adjust the temperature in the cabin step by step. The comfortable temperature in the cabin corresponding to the i-th time period within the preheating duration after the current k-th moment is , set the comfortable temperature adjustment method in the cabin as ; Set the dry-bulb temperature outside the cabin at the current k-th moment , the heat dissipation of the battery inside the cabin , and the outdoor heat radiation intensity as a set of , the dry-bulb temperature outside the cabin corresponding to the i-th time period within the preheating duration after the current k-th moment , the heat dissipation of the battery inside the cabin , and the outdoor heat radiation intensity as a set of , set the dry-bulb temperature outside the cabin , the heat dissipation of the battery inside the cabin , and the outdoor heat radiation intensity with the set adjustment method being ; Based on the comfortable temperature regulation method in the cabin and the dry bulb temperature outside the cabin , the heat dissipation of the battery in the cabin and the outdoor heat radiation intensity collectively regulate the method , to obtain the predicted parameter value of the input vector matrix U of the energy storage device at the (k + 1)-th moment; Generating the control signal for controlling the water supply temperature and the air supply temperature within the preheating duration according to the predicted parameter value of the input vector matrix U at the (k + 1)-th moment.

9. A computer device, comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the steps of the method according to any one of claims 1 to 8.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the steps of the method according to any one of claims 1 to 8.

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