A thermal management system based on photovoltaic energy storage

Abstract

The present invention belongs to the technical field of energy storage battery management. The present invention discloses a thermal management system based on photovoltaic energy storage, including a temperature control strategy module, an information acquisition module, a heating analysis module, an operation analysis module, a strategy selection module and a control execution module. The temperature control strategy module collects and filters temperature control reference data, the information acquisition module obtains the adjustment coefficient and the characteristics and operation information of the energy storage battery, the heating analysis module calculates the spontaneous heat, the operation analysis module determines the temperature control mode and calculates the target heat, the strategy selection module selects the reference target, and the control execution module controls the temperature control device according to the reference target. In addition, the system also includes a coefficient adjustment module, which dynamically adjusts the adjustment coefficient according to the temperature of the energy storage battery. By integrating multiple modules, the battery temperature is accurately predicted and managed, and the temperature state, battery heating characteristics and external environmental factors are considered to achieve precise temperature control, reduce the adjustment frequency of the temperature control equipment, and extend the life of the equipment.

Description

Technical Field

[0001] The present invention relates to the technical field of energy storage battery management, and more specifically, to a thermal management system based on photovoltaic energy storage. Background Art

[0002] With the widespread application of renewable energy and the rapid development of electric vehicles, energy storage technology has gradually become an important part of the energy field. As a key device for storing energy, the performance of energy storage batteries directly affects the stability and efficiency of the energy system. Energy storage batteries are easily affected by temperature during operation. Too high or too low temperature will have an adverse effect on their performance and may even cause battery damage. Therefore, temperature control of energy storage batteries has become a key technical issue.

[0003] In the current energy storage battery temperature management strategy, the common practice is to monitor the battery temperature in real time and compare it with the preset safety threshold, and then adjust the output intensity of the temperature control device according to the temperature difference to maintain the battery temperature in a stable range. However, although this method can achieve basic temperature regulation, it has significant limitations. It ignores the key impact of the battery's inherent heat generation on future temperature dynamics, causing the system to have to intervene frequently to cope with the resulting temperature fluctuations. This frequent adjustment mechanism not only increases energy consumption, but may also cause damage to the temperature control device itself due to the instability of power output, thereby shortening its service life. Summary of the invention

[0004] In order to overcome the problem of frequent adjustment of temperature control equipment in the prior art, the present invention proposes a thermal management system based on photovoltaic energy storage to solve the above problem.

[0005] The present invention provides the following technical solutions:

[0006] A thermal management system based on photovoltaic energy storage, comprising: a temperature control strategy module, used to collect a number of temperature control reference data, the temperature control reference data including operating parameters, heat exchange amount, power consumption and ambient temperature; screening the temperature control reference data according to the heat exchange amount, power consumption and ambient temperature, and using the screened temperature control reference data to form a temperature control reference data set;

[0007] An information acquisition module, used to acquire the adjustment coefficient, characteristic information of the energy storage battery and operating information of the energy storage battery; the initial value of the adjustment coefficient is 1, the characteristic information includes an ideal temperature range, an open circuit voltage and an internal resistance comparison table, the internal resistance comparison table includes a temperature value and a corresponding internal resistance value, and the operating information includes a battery temperature, a current voltage and a current current;

[0008] A heat analysis module is used to obtain the spontaneous heat according to the characteristic information and operation information;

[0009] An operation analysis module is used to obtain a temperature control mode of the energy storage battery according to characteristic information and operation information of the energy storage battery, and calculate a target heat according to the temperature control mode of the energy storage battery;

[0010] A strategy selection module selects a temperature control reference data from the temperature control reference data set as a reference target according to the battery temperature and the target heat;

[0011] The control execution module obtains the operating parameters of the reference target and controls the temperature control device to adjust the temperature of the energy storage battery according to the operating parameters.

[0012] Preferably, the step of collecting the temperature control reference data includes:

[0013] Preset target duration , set the operating parameters of the temperature control equipment;

[0014] Control temperature control equipment in time It runs according to the set operating parameters.

[0015] Get the temperature at the outlet of the heat exchange medium of the temperature control device and the inlet temperature , while obtaining the heat exchange medium at time The total volume of the loop ;

[0016] Calculate the heat exchange amount, the calculation formula of the heat exchange amount is as follows:

[0017] ,

[0018] In the formula, Indicates the heat exchange capacity, represents the density of the heat exchange medium, Indicates the specific heat capacity of the heat exchange medium;

[0019] Obtain the ambient temperature and power consumption of the temperature control device during operation;

[0020] Integrate operating parameters, heat exchange capacity, ambient temperature and power consumption into one temperature control reference data.

[0021] Preferably, the step of screening the temperature control reference data according to the heat exchange amount, power consumption and ambient temperature comprises:

[0022] Preset continuous The length of each temperature interval is preset. Degree, and the lower limit of each interval is a closed interval and the upper limit is an open interval;

[0023] Get all the temperature control reference data, according to the ambient temperature of the temperature control reference data and the preset The temperature control reference data is divided into data sets;

[0024] Obtain any data group, and perform data optimization on the obtained data group;

[0025] After all data groups have been optimized, the temperature control data are screened.

[0026] Preferably, the step of optimizing the acquired data set includes:

[0027] Obtain any temperature control reference data in the data group as the benchmark reference data, and obtain the heat exchange amount of the benchmark reference data;

[0028] Searching for other temperature control reference data in the data group whose positive and negative differences in heat exchange amount with the benchmark reference data do not exceed a preset ratio, and determining whether the data has been found;

[0029] If it is not found, the benchmark reference data is marked as selected;

[0030] If found, all the found temperature control reference data and the benchmark reference data are combined into a comparison data set;

[0031] Obtaining an energy consumption ratio of each temperature control reference data in the comparison data set, wherein the energy consumption ratio is a ratio of heat exchange amount to power consumption;

[0032] In the data group, mark the temperature control reference data with the highest energy consumption ratio in the comparison data set as selected, and delete the temperature control reference data without the selected mark in the comparison data set in the data group;

[0033] Repeat the above steps until all temperature control reference data in the data group are marked as selected, completing the optimization of the data group.

[0034] Preferably, the step of obtaining the spontaneous heat according to the characteristic information and the operation information comprises:

[0035] Get the battery temperature in the operating information, and get the corresponding internal resistance value from the internal resistance comparison table according to the battery temperature ; Get the open circuit voltage , Current voltage , Current ;

[0036] Calculate the self-heat , spontaneous heat The calculation formula is:

[0037] .

[0038] Preferably, the step of acquiring the temperature control mode of the energy storage battery includes:

[0039] Obtain the ideal temperature range and battery temperature, and determine the relationship between the battery temperature and the ideal temperature range;

[0040] If the battery temperature is lower than the lower limit of the ideal temperature range, the temperature control mode is set to the heating mode;

[0041] If the battery temperature is within the ideal temperature range, the temperature control mode is set to the holding mode;

[0042] If the battery temperature is greater than the upper limit of the ideal temperature range, the temperature control mode is set to the cooling mode.

[0043] Preferably, the step of calculating the target heat according to the temperature control mode of the energy storage battery includes:

[0044] Get the temperature control mode and adjustment coefficient;

[0045] If the temperature control mode is the hold mode, the adjustment factor multiplied by the self-heat is used as the target heat;

[0046] If the temperature control mode is the heating mode, select a temperature value in the ideal temperature range as the target temperature, and subtract the battery temperature from the target temperature to obtain the gap temperature; calculate the gap heat according to the gap temperature, and use the adjustment coefficient multiplied by the gap heat as the target heat;

[0047] If the temperature control mode is the cooling mode, select a value within the ideal temperature range as the target temperature, and use the target temperature to subtract the battery temperature to obtain the gap temperature; calculate the gap heat based on the gap temperature, and use the gap heat to subtract the spontaneous heat and multiply it by the adjustment coefficient as the target heat.

[0048] Preferably, the step of obtaining the reference target includes:

[0049] Acquire all temperature control reference data in the reference target set whose positive and negative differences between the ambient temperature and the battery temperature do not exceed a preset value to form a first selection set;

[0050] Obtaining a target heat quantity, and selecting at least two temperature control reference data whose heat exchange amount is closest to the target heat quantity and whose heat exchange amount is not greater than the target heat quantity from the candidate set to form a second selection set;

[0051] Calculate the priority index of each temperature control reference data in the second selection set, and select the temperature control reference data with the highest priority index as the reference target;

[0052] The priority index is given by the formula: , calculated; where, represents the priority index, Indicates the target calories, Indicates power consumption. Represents the mean of all power consumption in the second selection set.

[0053] Preferably, it also includes a coefficient adjustment module, which is used to control the temperature control device to operate according to the operating parameters in the control execution module. After a certain time, the temperature of the energy storage battery is obtained, and the value of the adjustment coefficient is updated according to the temperature of the energy storage battery.

[0054] Preferably, the step of updating the value of the adjustment coefficient according to the temperature of the energy storage battery includes:

[0055] Get the current adjustment coefficient value and record it as , get the temperature of the energy storage battery as ;

[0056] Get the operating information before the temperature control device adjusts the temperature of the energy storage battery, and record the battery temperature in the operating information as , get the target temperature as ;

[0057] Calculate new adjustment factor , new adjustment coefficient The calculation formula is: ;

[0058] The value of the adjustment coefficient is updated to the value of the new adjustment coefficient, thereby completing the update of the value of the adjustment coefficient.

[0059] The present invention provides a thermal management system based on photovoltaic energy storage, which has the following beneficial effects:

[0060] By integrating the temperature control strategy module, information acquisition module, heating analysis module and operation analysis module, the battery temperature can be accurately predicted and managed. By considering the current temperature state, the battery's own heating characteristics and external environmental factors, more precise temperature control is achieved. This reduces the frequency of adjusting the temperature control equipment, which helps to extend the service life of the equipment and battery. Through the optimized operation of the strategy selection module and the control execution module, it is possible to reduce unnecessary energy consumption while ensuring the stability of the battery temperature. Through the design of the coefficient adjustment module, the system can adjust the adjustment coefficient according to the actual operating conditions, which increases the system's adaptability to different operating conditions and environmental changes. BRIEF DESCRIPTION OF THE DRAWINGS

[0061] Figure 1 A schematic diagram of a module of a thermal management system based on photovoltaic energy storage according to the present invention;

[0062] Figure 2It is a schematic diagram of the data optimization process of a thermal management system based on photovoltaic energy storage of the present invention. DETAILED DESCRIPTION

[0063] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions 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 are within the scope of protection of the present invention.

[0064] Example 1

[0065] See also Figure 1 In this embodiment, a thermal management system based on photovoltaic energy storage includes:

[0066] A temperature control strategy module is used to collect a number of temperature control reference data, wherein the temperature control reference data includes operating parameters, heat exchange amount, power consumption and ambient temperature; the temperature control reference data is screened according to the heat exchange amount, power consumption and ambient temperature, and the screened temperature control reference data is used to form a temperature control reference data set;

[0067] The step of collecting the temperature control reference data includes:

[0068] Preset target duration , set the operating parameters of the temperature control equipment;

[0069] Control temperature control equipment in time It runs according to the set operating parameters.

[0070] Get the temperature at the outlet of the heat exchange medium of the temperature control device and the inlet temperature , while obtaining the heat exchange medium at time The total volume of the loop ;

[0071] Calculate the heat exchange amount, the calculation formula of the heat exchange amount is as follows:

[0072] ,

[0073] In the formula, Indicates the heat exchange capacity, represents the density of the heat exchange medium, Indicates the specific heat capacity of the heat exchange medium;

[0074] Obtain the ambient temperature and power consumption of the temperature control device during operation;

[0075] Integrate operating parameters, heat exchange capacity, ambient temperature and power consumption into one temperature control reference data.

[0076] The step of screening the temperature control reference data according to the heat exchange amount, power consumption and ambient temperature comprises:

[0077] Preset continuous The length of each temperature interval is preset. Degree, and the lower limit of each interval is a closed interval and the upper limit is an open interval;

[0078] Get all the temperature control reference data, according to the ambient temperature of the temperature control reference data and the preset The temperature control reference data is divided into data sets;

[0079] Obtain any data group, and perform data optimization on the obtained data group;

[0080] After all data groups have been optimized, the temperature control data are screened.

[0081] See also Figure 2 , the step of optimizing the acquired data set includes:

[0082] S1. Obtain any temperature control reference data in the data group as the benchmark reference data, and obtain the heat exchange amount of the benchmark reference data;

[0083] S2. Searching for other temperature control reference data in the data group whose positive and negative differences in heat exchange amount with the benchmark reference data do not exceed a preset ratio, and determining whether the data is found;

[0084] S3. If the reference data is not found, a selected mark is marked for the reference data;

[0085] S4. If found, all the found temperature control reference data and the benchmark reference data are combined into a comparison data set;

[0086] S41, obtaining an energy consumption ratio of each temperature control reference data in the comparison data set, where the energy consumption ratio is a ratio of heat exchange amount to power consumption;

[0087] S42, marking the temperature control reference data with the highest energy consumption ratio in the comparison data set as selected in the data group, and deleting the temperature control reference data without the selected mark in the comparison data set in the data group;

[0088] S5. Repeat the above steps until all temperature control reference data in the data group are marked as selected, completing the optimization of the data group.

[0089] In this embodiment, the temperature control reference data can be collected according to the following steps, with one hour as the preset target duration. First, the operating parameters of the temperature control device are clarified. The operating parameters of the temperature control device include but are not limited to pump power, fan power, compressor power, etc. according to the model of the temperature control device. The temperature control device is controlled to operate according to the set operating parameters within the preset target duration. During this period, a high-precision temperature sensor can be used to collect the temperature data of the heat exchange medium at the outlet and inlet of the equipment respectively. At the same time, in order to record the total circulation volume of the heat exchange medium within the target duration through a flow meter, the density and specific heat capacity of the exchange medium are determined according to the specific exchange medium used. Common exchange media include water and ethylene glycol solutions. Based on these data, the heat exchange amount is calculated. It should be noted that when the calculated heat exchange amount is a positive number, it usually indicates that the temperature control device is heating, and when it is a negative number, it indicates that the temperature control device is dissipating heat.

[0090] In addition, since the ambient temperature is an important factor affecting the temperature control equipment, the ambient temperature during operation is also recorded in real time through the ambient temperature sensor. At the same time, in order to evaluate the energy consumption performance of the temperature control equipment, the power consumption of the entire operation cycle is monitored and recorded using an electric meter.

[0091] Finally, all the key data collected, including operating parameters, calculated heat exchange, ambient temperature, and power consumption, are integrated into a complete temperature control reference data record. Such a data set can provide support for the subsequent optimization of the operating strategy of the temperature control equipment.

[0092] In this embodiment, in order to further improve the efficiency and performance of the thermal management system, a set of temperature control reference data screening and optimization processes is implemented. First, a continuous ambient temperature interval is preset, such as setting 20 intervals and making the length of each interval 5 degrees. Then, all temperature control reference data are collected and automatically classified into corresponding data groups according to the ambient temperature.

[0093] In each data group, detailed data optimization steps are performed. First, a temperature control reference data is selected as a benchmark, and its heat exchange volume is obtained as a reference point. Then, other temperature control reference data with a heat exchange volume difference of ±5% from the benchmark data are searched to form a comparative data set. If no data that meets the conditions is found, the benchmark data is directly marked as selected; if found, the energy consumption ratio of each data in the comparative data set is further analyzed, that is, the ratio of heat exchange volume to power consumption, to evaluate its energy efficiency performance.

[0094] Finally, the temperature control reference data with the highest energy consumption ratio in the comparison data set is selected as the optimization result, marked as selected, and the unselected data is removed. This process is repeated in the data group until all temperature control reference data have been screened and optimized and given the corresponding selected mark.

[0095] Through the above method, not only can we effectively screen out efficient samples from a large amount of temperature control reference data, but we can also provide a scientific basis for the optimization of the photovoltaic energy storage thermal management system, thereby improving the overall efficiency and performance of the system.

[0096] An information acquisition module, used to acquire the adjustment coefficient, characteristic information of the energy storage battery and operating information of the energy storage battery; the initial value of the adjustment coefficient is 1, the characteristic information includes an ideal temperature range, an open circuit voltage and an internal resistance comparison table, the internal resistance comparison table includes a temperature value and a corresponding internal resistance value, and the operating information includes a battery temperature, a current voltage and a current current;

[0097] In this embodiment, the characteristic information of the energy storage battery can be obtained from the manufacturer, and the operation information can be collected using corresponding equipment.

[0098] A heat analysis module is used to obtain the spontaneous heat according to the characteristic information and operation information;

[0099] The step of obtaining the spontaneous heat according to the characteristic information and the operation information comprises:

[0100] Get the battery temperature in the operating information, and get the corresponding internal resistance value from the internal resistance comparison table according to the battery temperature ; Get the open circuit voltage , Current voltage , Current ;

[0101] Calculate the self-heat , spontaneous heat The calculation formula is:

[0102] .

[0103] In this embodiment, the self-heat can be obtained according to the following steps: first, obtain real-time operation information from the battery management system, including battery temperature, current voltage and current; according to the battery temperature, find and obtain the corresponding internal resistance value from the pre-established internal resistance comparison table to obtain the open circuit voltage. The self-heat is calculated by the formula. It should be noted that when calculating the battery self-heat, the theoretical estimation is mainly based on the two key factors of Joule heat and chemical reaction heat.

[0104] An operation analysis module is used to obtain a temperature control mode of the energy storage battery according to characteristic information and operation information of the energy storage battery, and calculate a target heat according to the temperature control mode of the energy storage battery;

[0105] The step of acquiring the temperature control mode of the energy storage battery comprises:

[0106] Obtain the ideal temperature range and battery temperature, and determine the relationship between the battery temperature and the ideal temperature range;

[0107] If the battery temperature is lower than the lower limit of the ideal temperature range, the temperature control mode is set to the heating mode;

[0108] If the battery temperature is within the ideal temperature range, the temperature control mode is set to the holding mode;

[0109] If the battery temperature is greater than the upper limit of the ideal temperature range, the temperature control mode is set to the cooling mode.

[0110] The step of calculating the target heat according to the temperature control mode of the energy storage battery includes:

[0111] Get the temperature control mode and adjustment coefficient;

[0112] If the temperature control mode is the hold mode, the adjustment factor multiplied by the self-heat is used as the target heat;

[0113] If the temperature control mode is the heating mode, select a temperature value in the ideal temperature range as the target temperature, and subtract the battery temperature from the target temperature to obtain the gap temperature; calculate the gap heat according to the gap temperature, and use the adjustment coefficient multiplied by the gap heat as the target heat;

[0114] If the temperature control mode is the cooling mode, select a value within the ideal temperature range as the target temperature, and use the target temperature to subtract the battery temperature to obtain the gap temperature; calculate the gap heat based on the gap temperature, and use the gap heat to subtract the spontaneous heat and multiply it by the adjustment coefficient as the target heat.

[0115] In this embodiment, it should be noted that the ideal temperature range of the battery is usually determined based on the recommendations of the battery manufacturer or the optimal operating performance range of the battery. The target temperature is usually selected as the middle value within the ideal range; the method for calculating the gap heat according to the gap temperature includes establishing a battery thermal model or based on the heat capacity formula etc., where the heat capacity formula represents the deficit heat, Indicates the battery quality. represents the specific heat capacity of the battery, Indicates the notch temperature.

[0116] A strategy selection module selects a temperature control reference data from the temperature control reference data set as a reference target according to the battery temperature and the target heat;

[0117] The step of obtaining the reference target comprises:

[0118] Acquire all temperature control reference data in the reference target set whose positive and negative differences between the ambient temperature and the battery temperature do not exceed a preset value to form a first selection set;

[0119] Obtaining a target heat quantity, and selecting at least two temperature control reference data whose heat exchange amount is closest to the target heat quantity and whose heat exchange amount is not greater than the target heat quantity from the candidate set to form a second selection set;

[0120] Calculate the priority index of each temperature control reference data in the second selection set, and select the temperature control reference data with the highest priority index as the reference target;

[0121] The priority index is given by the formula: , calculated; where, represents the priority index, Indicates the target calories, Indicates power consumption. Represents the mean of all power consumption in the second selection set.

[0122] In this embodiment, first, according to the current temperature of the battery and the preset positive and negative difference preset value, where the positive and negative difference preset value can usually be set to 3, the temperature control reference data that meets the conditions are screened out from the temperature control reference data set to form a first selection set. Then, in the first selection set, at least two data with heat exchange amounts closest to and not greater than the target heat are selected according to the target heat to form a second selection set.

[0123] Next, a priority index is calculated for each data in the second selection set, which reflects the closeness between the heat exchange amount and the target heat and the difference between the power consumption. Finally, the temperature control reference data with the highest priority index is selected from the second selection set as the reference target.

[0124] The control execution module obtains the operating parameters of the reference target and controls the temperature control device to adjust the temperature of the energy storage battery according to the operating parameters.

[0125] In this embodiment, the reference target selected in this way fully considers the temperature control requirements and energy saving requirements, thereby improving the battery temperature regulation efficiency while reducing energy consumption.

[0126] Example 2

[0127] See also Figure 1 Based on Example 1, it also includes a coefficient adjustment module, which is used to control the temperature control device to operate according to the operating parameters in the control execution module. After a certain time, the temperature of the energy storage battery is obtained, and the value of the adjustment coefficient is updated according to the temperature of the energy storage battery.

[0128] The step of updating the value of the adjustment coefficient according to the temperature of the energy storage battery comprises:

[0129] Get the current adjustment coefficient value and record it as , get the temperature of the energy storage battery as ;

[0130] Get the operating information before the temperature control device adjusts the temperature of the energy storage battery, and record the battery temperature in the operating information as , get the target temperature as ;

[0131] Calculate new adjustment factor , new adjustment coefficient The calculation formula is: ;

[0132] The value of the adjustment coefficient is updated to the value of the new adjustment coefficient, thereby completing the update of the value of the adjustment coefficient.

[0133] In this embodiment, by continuously updating and adjusting the adjustment coefficient according to the actual effect after temperature control, the accuracy of temperature control is improved, ensuring that the energy storage battery continues to maintain an optimal temperature range, thereby extending the battery life and improving the overall efficiency of the system; at the same time, it can adapt to the performance changes accumulated by the equipment as the use time increases, and ensure the effectiveness of temperature control measures during long-term use.

[0134] In the several embodiments provided by the present invention, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic, for example, the division of the units is only one, and there may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0135] The above description is only a specific implementation mode of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can easily think of changes or substitutions within the technical scope disclosed by the present invention, which should be covered by the protection scope of the present invention.

[0136] Finally: The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A thermal management system based on photovoltaic energy storage, characterized in that: include: A temperature control strategy module is used to collect a number of temperature control reference data, wherein the temperature control reference data includes operating parameters, heat exchange amount, power consumption and ambient temperature; The temperature control reference data are screened according to the heat exchange amount, power consumption and ambient temperature, and the screened temperature control reference data are used to form a temperature control reference data set; An information acquisition module, used to acquire the adjustment coefficient, characteristic information of the energy storage battery and operating information of the energy storage battery; the initial value of the adjustment coefficient is 1, the characteristic information includes an ideal temperature range, an open circuit voltage and an internal resistance comparison table, the internal resistance comparison table includes a temperature value and a corresponding internal resistance value, and the operating information includes a battery temperature, a current voltage and a current current; A heat analysis module is used to obtain the spontaneous heat according to the characteristic information and operation information; An operation analysis module is used to obtain a temperature control mode of the energy storage battery according to characteristic information and operation information of the energy storage battery, and calculate a target heat according to the temperature control mode of the energy storage battery; The step of calculating the target heat according to the temperature control mode of the energy storage battery includes: Get the temperature control mode and adjustment coefficient; If the temperature control mode is the hold mode, the adjustment factor multiplied by the self-heat is used as the target heat; If the temperature control mode is the heating mode, select a temperature value in the ideal temperature range as the target temperature, and subtract the battery temperature from the target temperature to obtain the gap temperature; calculate the gap heat according to the gap temperature, and use the adjustment coefficient multiplied by the gap heat as the target heat; If the temperature control mode is cooling mode, select a value in the ideal temperature range as the target temperature, and subtract the battery temperature from the target temperature to obtain the gap temperature; calculate the gap heat according to the gap temperature, and use the gap heat minus the self-heat and multiply it by the adjustment coefficient to obtain the target heat; A strategy selection module selects a temperature control reference data from the temperature control reference data set as a reference target according to the battery temperature and the target heat; The step of obtaining the reference target comprises: Acquire all temperature control reference data in the reference target set whose positive and negative differences between the ambient temperature and the battery temperature do not exceed a preset value to form a first selection set; Obtaining a target heat quantity, and selecting at least two temperature control reference data whose heat exchange amount is closest to the target heat quantity and whose heat exchange amount is not greater than the target heat quantity from the candidate set to form a second selection set; Calculate the priority index of each temperature control reference data in the second selection set, and select the temperature control reference data with the highest priority index as the reference target; The priority index is given by the formula: , calculated; where, represents the priority index, Indicates the target calories, Indicates the heat exchange capacity, Indicates power consumption. represents the mean of all power consumption in the second selection set; The control execution module obtains the operating parameters of the reference target and controls the temperature control device to adjust the temperature of the energy storage battery according to the operating parameters.

2. A thermal management system based on photovoltaic energy storage according to claim 1, characterized in that: The step of collecting the temperature control reference data includes: Preset target duration , set the operating parameters of the temperature control equipment; Control temperature control equipment in time It runs according to the set operating parameters. Get the temperature at the outlet of the heat exchange medium of the temperature control device and the inlet temperature , while obtaining the heat exchange medium at time The total volume of the loop ; Calculate the heat exchange amount, the calculation formula of the heat exchange amount is as follows: ， In the formula, Indicates the heat exchange capacity, represents the density of the heat exchange medium, Indicates the specific heat capacity of the heat exchange medium; Obtain the ambient temperature and power consumption of the temperature control device during operation; Integrate operating parameters, heat exchange capacity, ambient temperature and power consumption into one temperature control reference data.

3. A thermal management system based on photovoltaic energy storage according to claim 2, characterized in that: The step of screening the temperature control reference data according to the heat exchange amount, power consumption and ambient temperature comprises: Preset continuous The length of each temperature interval is preset. Degree, and the lower limit of each interval is a closed interval and the upper limit is an open interval; Get all the temperature control reference data, according to the ambient temperature of the temperature control reference data and the preset The temperature control reference data is divided into data sets; Obtain any data group, and perform data optimization on the obtained data group; After all data groups have been optimized, the temperature control data are screened.

4. A thermal management system based on photovoltaic energy storage according to claim 3, characterized in that: The step of optimizing the acquired data set comprises: Obtain any temperature control reference data in the data group as the benchmark reference data, and obtain the heat exchange amount of the benchmark reference data; Searching for other temperature control reference data in the data group whose positive and negative differences in heat exchange amount with the benchmark reference data do not exceed a preset ratio, and determining whether the data has been found; If it is not found, the benchmark reference data is marked as selected; If found, all the found temperature control reference data and the benchmark reference data are combined into a comparison data set; Obtaining an energy consumption ratio of each temperature control reference data in the comparison data set, wherein the energy consumption ratio is a ratio of heat exchange amount to power consumption; In the data group, mark the temperature control reference data with the highest energy consumption ratio in the comparison data set as selected, and delete the temperature control reference data without the selected mark in the comparison data set in the data group; Repeat the above steps until all temperature control reference data in the data group are marked as selected, completing the optimization of the data group.

5. A thermal management system based on photovoltaic energy storage according to claim 4, characterized in that: The step of obtaining the spontaneous heat according to the characteristic information and the operation information comprises: Get the battery temperature in the operating information, and get the corresponding internal resistance value from the internal resistance comparison table according to the battery temperature ; Get the open circuit voltage , Current voltage , Current ; Calculate the self-heat , spontaneous heat The calculation formula is: 。 6. A thermal management system based on photovoltaic energy storage according to claim 5, characterized in that: The step of acquiring the temperature control mode of the energy storage battery comprises: Obtain the ideal temperature range and battery temperature, and determine the relationship between the battery temperature and the ideal temperature range; If the battery temperature is lower than the lower limit of the ideal temperature range, the temperature control mode is set to the heating mode; If the battery temperature is within the ideal temperature range, the temperature control mode is set to the holding mode; If the battery temperature is greater than the upper limit of the ideal temperature range, the temperature control mode is set to the cooling mode.

7. A thermal management system based on photovoltaic energy storage according to claim 6, characterized in that: It also includes a coefficient adjustment module, which is used to control the temperature control device to operate according to the operating parameters in the control execution module. After a certain time, the temperature of the energy storage battery is obtained, and the value of the adjustment coefficient is updated according to the temperature of the energy storage battery.

8. A thermal management system based on photovoltaic energy storage according to claim 7, characterized in that: The step of updating the value of the adjustment coefficient according to the temperature of the energy storage battery comprises: Get the current adjustment coefficient value and record it as , get the temperature of the energy storage battery as ; Get the operating information before the temperature control device adjusts the temperature of the energy storage battery, and record the battery temperature in the operating information as , get the target temperature as ; Calculate new adjustment factor , new adjustment coefficient The calculation formula is: ; The value of the adjustment coefficient is updated to the value of the new adjustment coefficient, thereby completing the update of the value of the adjustment coefficient.

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