Method and system for optimizing operation condition of liquid cooling system of charging facility

Abstract

The invention discloses an operation condition optimization method and system of a charging facility liquid cooling system, and relates to the technical field of data processing. The method comprises the following steps: acquiring charging load data of a plurality of heating devices in the liquid cooling system of the charging facility and environment temperature data of the environment; determining a target cooling liquid flow of the heating device based on a load voltage and a load current in the charging load data, and determining a target cooling liquid temperature of the heating device based on the environment temperature data; receiving the charging temperature of each heating device; and correspondingly adjusting the pump speed of a circulating pump in the liquid cooling system of the charging facility and the rotating speed of a radiator fan of each heating device by combining the target cooling liquid flow and the target cooling liquid temperature of each heating device, so as to cool each heating device until the charging temperature of each heating device is within a preset charging temperature range. By implementing the technical scheme provided by the invention, the effect of improving the liquid cooling efficiency of the liquid cooling system based on the charging facility is achieved.

Description

Technical Field

[0001] The present application relates to the field of data processing technology, and specifically to a method, system, electronic device and storage medium for optimizing the operating conditions of a liquid cooling system of a charging facility. Background Art

[0002] With the rapid development of the electric vehicle market, the demand for charging infrastructure is growing. The performance and reliability of the charging facility liquid cooling system directly affect the user's charging experience and the stable operation of the power grid. During the charging process, various electronic components in the charging facility liquid cooling system will generate a lot of heat. How to effectively manage this heat has become an important challenge in the design of the charging facility liquid cooling system.

[0003] At present, the existing operating condition optimization methods of charging facility liquid cooling systems mostly rely on setting a fixed coolant to uniformly cool the components in the charging facility liquid cooling system. However, in actual applications, since there are multiple components with different functions in the charging facility liquid cooling system, various components will have different heating conditions. It is often difficult to adapt to the heat dissipation requirements of different components by only using a fixed coolant for uniform cooling, resulting in an uneven cooling effect, which leads to low cooling efficiency of the charging facility liquid cooling system. Summary of the invention

[0004] The present application provides a method and system for optimizing the operating conditions of a liquid cooling system of a charging facility, which has the effect of improving the cooling efficiency of the liquid cooling system of the charging facility.

[0005] In a first aspect, the present application provides a method for optimizing the operating conditions of a liquid cooling system of a charging facility, comprising: Acquire charging load data of multiple heat generating devices in a liquid cooling system of a charging facility and ambient temperature data of an environment in which the liquid cooling system of the charging facility is located; For each of the heating devices, determining a target coolant flow rate of the cooling liquid required by the heating device based on the load voltage and the load current in the charging load data, and determining a target coolant temperature of the cooling liquid required by the heating device based on the ambient temperature data; Receiving the current charging temperature of each of the heating devices; In combination with the target coolant flow rate and target coolant temperature of the coolant required by each of the heat-generating components, the pump speed of the circulation pump in the liquid cooling system of the charging facility and the speed of the radiator fan corresponding to each of the heat-generating components are adjusted accordingly to perform coolant cooling operations on each of the heat-generating components until the charging temperature of each of the heat-generating components is within a preset charging temperature range.

[0006] In a second aspect of the present application, a system for optimizing operating conditions of a liquid cooling system of a charging facility is provided, the system comprising: A data acquisition module, used to acquire charging load data of a plurality of heating devices in a liquid cooling system of a charging facility and ambient temperature data of an environment in which the liquid cooling system of the charging facility is located; a coolant determination module, configured to determine, for each of the heating devices, a target coolant flow rate of the coolant required by the heating device based on the load voltage and the load current in the charging load data, and determine a target coolant temperature of the coolant required by the heating device based on the ambient temperature data; A charging temperature receiving module, used to receive the current charging temperature of each heating device; The cooling module of the liquid cooling system of the charging facility is used to adjust the pump speed of the circulation pump in the liquid cooling system of the charging facility and the radiator fan speed corresponding to each of the heating components in combination with the target coolant flow and target coolant temperature of the coolant required by each of the heating components, so as to perform coolant cooling operation on each of the heating components until the charging temperature of each of the heating components is within a preset charging temperature range.

[0007] In a third aspect of the present application, an electronic device is provided, comprising a memory, a processor, and a program stored in the memory and executable on the processor, wherein the program can implement a method for optimizing the operating conditions of a liquid cooling system of a charging facility when loaded and executed by the processor.

[0008] In a fourth aspect of the present application, a computer-readable storage medium is provided, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the processor implements a method for optimizing the operating conditions of a liquid cooling system of a charging facility.

[0009] In summary, one or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages: By adopting the above technical solution, the charging load data and ambient temperature of each heating device are obtained, and the cooling requirements of each heating device, including the coolant flow and temperature requirements, can be accurately evaluated, so as to achieve accurate determination of the cooling requirements of each device. Then, the target flow and temperature parameters of the coolant corresponding to each heating device are calculated according to the charging load and ambient temperature of the heating device to clarify the cooling control target of each device. At the same time, the charging temperature of the heating device is monitored in real time to determine whether the cooling effect is up to standard. Then, according to the flow and temperature cooling requirements of each heating device, the operating parameters of the circulating pump and the radiator are adjusted accordingly to achieve dynamic and accurate control of the coolant flow and temperature of different heating devices, so that each heating device can be fully cooled without overload. Finally, when the temperature of the heating device is controlled within the preset temperature range, the accurate cooling control of each heating device is completed. Through this cooling process, the process of repeated cooling when the cooling is uneven is reduced, thereby improving the cooling efficiency of the liquid cooling system based on the charging facility. BRIEF DESCRIPTION OF THE DRAWINGS

[0010] Figure 1 It is a flow chart of a method for optimizing the operating conditions of a liquid cooling system of a charging facility provided in an embodiment of the present application; Figure 2 It is a structural schematic diagram of an operating condition optimization system of a charging facility liquid cooling system provided in an embodiment of the present application; Figure 3 It is a structural schematic diagram of an electronic device provided in an embodiment of the present application.

[0011] Description of reference numerals: 300, electronic device; 301, processor; 302, communication bus; 303, user interface; 304, network interface; 305, memory. DETAILED DESCRIPTION

[0012] In order to enable technicians in this field to better understand the technical solutions in this specification, the technical solutions in the embodiments of this specification will be clearly and completely described below in conjunction with the drawings in the embodiments of this specification. Obviously, the described embodiments are only part of the embodiments of this application, not all of the embodiments.

[0013] In the description of the embodiments of the present application, words such as "for example" or "for example" are used to indicate examples, illustrations or explanations. Any embodiment or design described as "for example" or "for example" in the embodiments of the present application should not be interpreted as being more preferred or more advantageous than other embodiments or designs. Specifically, the use of words such as "for example" or "for example" is intended to present related concepts in a specific way.

[0014] In the description of the embodiments of the present application, the meaning of the term "multiple" refers to two or more. For example, multiple systems refer to two or more systems, and multiple screen terminals refer to two or more screen terminals. In addition, the terms "first" and "second" are used for descriptive purposes only and cannot be understood as indicating or implying relative importance or implicitly indicating the indicated technical features. Thus, the features defined as "first" and "second" may explicitly or implicitly include one or more of the features. The terms "include", "comprise", "have" and their variations all mean "including but not limited to", unless otherwise specifically emphasized.

[0015] The present application embodiment provides a method for optimizing the operating conditions of a charging facility liquid cooling system. In one embodiment, please refer to Figure 1 , Figure 1This is a flow chart of a method for optimizing the operating conditions of a liquid cooling system of a charging facility provided in an embodiment of the present application. The method can be implemented by a computer program, which can be integrated into an application or run as an independent tool application. The method can also be implemented by a single-chip microcomputer or run in an optimization system for liquid cooling operating conditions based on a von Neumann system. Specifically, the method can include the following steps: Step 101: Obtain charging load data of multiple heat generating devices in a liquid cooling system of a charging facility and ambient temperature data of an environment in which the liquid cooling system of the charging facility is located.

[0016] Charging facilities include charging piles and charging stacks. Specifically, the optimization method in this application can be applied to liquid cooling systems in various application scenarios such as charging pile hosts, charging stack hosts, and charging terminals.

[0017] Heat-generating devices refer to power electronic devices in the liquid cooling system of the charging facility that generate heat during the charging process. In the embodiments of the present application, they can be understood as DC-DC converters, PFC power factor correction devices, electromagnetic contactor switch devices, charging interfaces, etc. in the liquid cooling system of the charging facility. They are used to convert AC power into various DC voltages and perform voltage regulation, protection and other functions when fast DC charging is performed for electric vehicles.

[0018] Charging load data refers to electrical parameter data that reflects the operating status of the heating device during the charging process. In the embodiment of the present application, it can be understood as monitoring data of the load voltage and load current of the heating device, which is used to evaluate the thermal power of the heating device and formulate accurate cooling control strategies.

[0019] Ambient temperature data refers to the temperature parameters that reflect the environment in which the charging facility liquid cooling system is located. In the embodiment of the present application, it can be understood as ambient temperature monitoring data collected by a temperature sensor installed outside the charging facility liquid cooling system, which is used to dynamically optimize the target temperature of the coolant according to changes in ambient temperature.

[0020] Specifically, in order to achieve dynamic, balanced and precise cooling of multiple heat-generating devices in the liquid cooling system of the charging facility, it is first necessary to obtain the charging load data and ambient temperature data of the heat-generating devices as input parameters for cooling control. The charging load data is the basis for evaluating and determining the thermal power and heat dissipation requirements of each heat-generating device, which should at least include the load voltage and load current monitored in real time for each heat-generating device. The ambient temperature data directly affects the target temperature of the coolant, so it is also necessary to monitor the temperature of the environment in which the liquid cooling system of the charging facility is located in real time. The monitored data can come from the real-time charging operation data collected by the current and voltage sensors set in the liquid cooling system of the charging facility, and the real-time ambient temperature collected by the temperature sensor set outside the liquid cooling system of the charging facility. The sensor transmits the data in real time to the central control system of the liquid cooling system of the charging facility for storage and processing through cables, wireless communications, etc. After obtaining the charging load data and ambient temperature data of the heat-generating device, the thermal power and precise cooling requirements of each heat-generating device can be calculated, and the optimized coolant temperature can be set according to the ambient temperature, which lays the foundation for the subsequent formulation of precise cooling control strategies.

[0021] Step 102: For each heating device, a target coolant flow rate of the cooling liquid required by the heating device is determined based on the load voltage and load current in the charging load data, and a target coolant temperature of the cooling liquid required by the heating device is determined based on the ambient temperature data.

[0022] Among them, load voltage and load current refer to the monitoring parameters of the real-time working voltage and working current of the heating device during the charging process. In the embodiment of the present application, it can be understood that the real-time operating voltage and current data of the heating device are collected by the voltage sensor and current sensor set at both ends of the heating device, which are used to calculate the thermal power of the heating device, and then determine the target flow rate of coolant required for the heating device.

[0023] The coolant required for the heat-generating device refers to the cooling medium that needs to flow through the heat-generating device to take away its heat. In the embodiment of the present application, it can be understood as a cooling liquid with good thermal properties selected to flow through the cooling device corresponding to the heat-generating device as a cooling medium, absorbing the heat generated by the heat-generating device and transmitting it to the outside world.

[0024] The target coolant flow rate refers to the optimal coolant flow rate required by the heating device calculated based on the heat load of the heating device. In the embodiment of the present application, it can be understood as the flow rate of the coolant that needs to flow through the heating device determined by calculation. It is used to usually open the corresponding flow control device according to the flow rate, and accurately adjust the coolant flow rate flowing through the heating device to achieve optimized cooling control of the heating device.

[0025] The target coolant temperature refers to the optimal temperature state of the coolant in the current environment calculated based on the ambient temperature. In the embodiment of the present application, it can be understood as the optimal temperature value that the coolant should maintain when cooling the heat-generating device after calculation. It is used to adjust the heater or cooler of the cooling system so that the temperature of the coolant reaches the target temperature to achieve the best cooling effect.

[0026] Specifically, after obtaining the charging load data of each heating device, that is, the load voltage and load current, the thermal power of each heating device, that is, the calorific value, can be calculated. Then, combined with the working efficiency of the heating device, the accurate thermal load value of each heating device can be obtained. According to these thermal load values, the target flow rate of the coolant required for each heating device can be determined. The larger the flow rate, the more heat can be taken away. At the same time, the system monitors the ambient temperature data in real time. According to the ambient temperature, the optimal target temperature of the coolant in the current environment can be calculated. In a high temperature environment, the coolant temperature needs to be lowered; while in a low temperature environment, the coolant temperature can be increased to reduce energy loss. Therefore, the target temperature of the coolant can be dynamically determined based on the ambient temperature. In this way, the load voltage and load current of each heating device are used to calculate and determine its thermal load and the corresponding target coolant flow rate, and the optimal target temperature of the coolant is determined according to the ambient temperature. This can realize dynamic and precise cooling control of each heating device, which not only ensures that each key component is sufficiently cooled, but also optimizes the use status of the coolant, achieves the optimal overall cooling effect, and ensures the efficient and safe operation of the liquid cooling system of the charging facility.

[0027] Based on the above embodiment, as an optional embodiment, in step 102: determining the target coolant flow rate of the coolant required by the heating device based on the load voltage and load current in the charging load data, this step may also include the following steps: Step 201: Obtain the working efficiency value of the heating device corresponding to the device type; determine the thermal power of the heating device based on the load voltage and the load current.

[0028] Among them, the working efficiency value refers to the parameterized efficiency index corresponding to the model of the heating device. In the embodiment of the present application, it can be understood as the power conversion efficiency of the heating device of this model under typical working conditions provided in the data manual of the heating device product, which is used to multiply the thermal power of the heating device to calculate a more accurate heat load value, thereby accurately determining the cooling requirements of the heating device.

[0029] The device type refers to the specific brand and model classification of the heating device. In the embodiment of the present application, it can be understood as the product specification model of the heating device, which is used to match the parameterized working efficiency corresponding to the device type, thereby obtaining the efficiency value of the heating device and calculating its precise heat load.

[0030] Thermal power refers to the thermal energy power released by a heating device under current load conditions. In the embodiment of the present application, it can be understood as the real-time heat loss of the heating device calculated by measuring the load voltage and load current of the heating device. It is used to indicate the amount of heat generated by the heating device and calculate the precise thermal load of the heating device.

[0031] Specifically, in order to accurately calculate the heat load of each heating device, it is necessary to first obtain the device type of the heating device, and then determine the corresponding work efficiency value according to its device type. The device type of the heating device directly determines its work efficiency, and the efficiency of devices of different models is different. Obtaining the correct work efficiency value is the basis for calculating the heat load. Then, the system has obtained the load voltage and load current of each heating device through monitoring. According to the power formula P=U*I, the thermal power of each heating device under the current load conditions, that is, the heat generated by it, can be accurately calculated. After obtaining the device type, work efficiency, load voltage and current of each heating device, the accurate heat load value of each heating device can be obtained by multiplying the thermal power by the work efficiency. This heat load value directly reflects the cooling demand of the heating device. By obtaining the device efficiency parameters and calculating the thermal power using its load voltage and current, the heat load size of each heating device can be accurately determined, which is the basis for the subsequent calculation of the target flow rate of coolant required for each heating device.

[0032] Step 202: Multiply the thermal power by the work efficiency standard value to obtain the thermal load of the heating device, and calculate the ratio between the thermal load and the reference thermal load to obtain the correction coefficient.

[0033] Among them, the heat load refers to the actual effective heat generated by the heating device during the charging process after being corrected for work efficiency. In the embodiment of the present application, it can be understood as the product of the thermal power of the heating device and its work efficiency, which is used to determine the precise cooling requirements of the heating device and calculate the target coolant flow required for the heating device.

[0034] The correction coefficient refers to the ratio obtained by comparing the calculated heat load with the benchmark heat load. In the embodiment of the present application, it can be understood as the ratio of the heat load of the heating device to its typical benchmark heat load. It is used to slightly correct the heat load value obtained based on theoretical calculations so that it can more accurately reflect the actual cooling requirements of the heating device.

[0035] Specifically, in order to accurately determine the heat load of each heating device, it is first necessary to calculate its thermal power, that is, to calculate the real-time heat loss of the heating device based on the measured load voltage and current. Then the working efficiency of the heating device needs to be considered. There are differences in the efficiency of different device types, which will directly affect the size of the heat load. Therefore, after obtaining the thermal power and the corresponding working efficiency standard value of each heating device, multiplying the two can eliminate the influence of the working efficiency and calculate the precise heat load value of the heating device. This directly reflects the cooling requirements of the heating device. In order to further optimize the results, a benchmark heat load database for the heating device can also be established in advance. The calculated heat load is compared with the benchmark value to obtain a correction coefficient. Through this calculation method of obtaining power parameters, considering efficiency differences, and correcting with the benchmark value, the heat load of each heating device can be determined with high precision, laying a solid foundation for subsequent precise cooling control.

[0036] Step 203: Multiply the correction coefficient by the reference coolant flow rate to obtain the target coolant flow rate of the coolant required by the heating device.

[0037] Among them, the benchmark coolant flow rate refers to the coolant flow rate reference value obtained by theoretical calculation under typical heat load conditions of the heating device. In the embodiment of the present application, it can be understood as the coolant flow rate corresponding to different benchmark heat loads pre-established according to the standard heat load gradient of the heating device, which is used to multiply with the actual heat load correction coefficient to calculate a target coolant flow rate that more accurately matches the actual needs.

[0038] Specifically, after obtaining the heat load correction coefficient of each heating device, the target coolant flow rate of the heating device can be determined based on the coefficient. A database of benchmark coolant flows corresponding to heating devices is established in advance. The benchmark flow rate is based on the theoretical calculation value under typical heat load conditions. After obtaining the actual correction coefficient, multiply it by the corresponding benchmark flow rate to obtain the accurate target flow value of the heating device under the current actual heat load conditions. The correction coefficient reflects the deviation between the actual heat load and the benchmark value. This coefficient can be used to dynamically adjust the benchmark flow rate so that the target flow rate can more accurately adapt to the real-time cooling needs of the heating device. By combining with the benchmark value, not only the theoretical calculation is taken into account, but also the calculation error is compensated, so that the obtained target coolant flow rate more accurately matches the cooling needs of each heating device, providing an accurate basis for subsequent flow control.

[0039] Based on the above embodiment, as an optional embodiment, in step 102: determining the target coolant temperature of the coolant required by the heating device based on the ambient temperature data, this step may also include the following steps: Step 204: Calculate the ambient temperature difference between the ambient temperature data and the reference ambient temperature.

[0040] Among them, the reference ambient temperature refers to the standard reference value of the ambient temperature set in advance when the cooling system is designed. In the embodiment of the present application, it can be understood as the temperature reference when the coolant parameters are selected. It is used to compare with the current ambient temperature monitored in real time to calculate the ambient temperature difference so that the coolant temperature can be adjusted accordingly according to the temperature difference.

[0041] Specifically, in order to dynamically optimize the temperature of the coolant according to the change of ambient temperature, it is necessary to calculate the difference between the current ambient temperature and the reference ambient temperature. First, by setting the ambient temperature sensor in the liquid cooling system of the charging facility, the temperature of the environment in which the current charging facility liquid cooling system is located can be detected in real time, and accurate digital temperature data can be obtained. At the same time, a reference ambient temperature value is preset in the cooling system of the charging facility liquid cooling system, which is the standard reference temperature point for the selection of coolant parameters. Then, the difference between the current actual ambient temperature data measured by the sensor and the preset reference ambient temperature is calculated to obtain the ambient temperature difference. The size of the ambient temperature difference can directly reflect the impact of the current ambient temperature on the cooling effect compared with the reference state, thereby determining the subsequent coolant temperature adjustment direction and adjustment amount to achieve precise control.

[0042] Step 205: adjusting the preset standard coolant temperature range according to the ambient temperature difference to obtain an adjusted coolant temperature range.

[0043] Among them, the preset standard coolant temperature range refers to the temperature control parameters of the coolant determined during the design and debugging stage of the cooling system. In the embodiment of the present application, it can be understood as the ideal temperature range of the coolant that enables the cooling system to operate normally and effectively under the reference ambient temperature. It is used as a reference for adjusting the actual temperature of the coolant when the ambient temperature changes, and is dynamically optimized by calculating the difference with the ambient temperature.

[0044] Specifically, in order to achieve the purpose of accurately adjusting the coolant temperature according to changes in ambient temperature, after calculating the ambient temperature difference, it is necessary to adjust the coolant temperature range accordingly based on the temperature difference. A standard ideal coolant temperature range is pre-set in the cooling system as a reference parameter for cooling control under the reference state. The calculated ambient temperature difference can directly reflect the impact of the current ambient temperature on the cooling effect. When the ambient temperature is high, the temperature difference is a positive value, and the coolant temperature range needs to be lowered accordingly; when the temperature is low, the temperature difference is a negative value, and the coolant temperature range needs to be increased. By adjusting the reference coolant temperature range, a new temperature range parameter optimized for the current ambient temperature is obtained.

[0045] Step 206: Using the median value of the adjusted coolant temperature range as the target coolant temperature required by the heat generating device.

[0046] Specifically, after obtaining the coolant temperature range optimized for the current ambient temperature, it is also necessary to determine a precise target coolant temperature to achieve accurate temperature control. Among them, the adjusted coolant temperature range has been optimized and adjusted according to the ambient temperature difference. The median in this temperature range can represent the optimal state of the coolant under the current ambient temperature conditions. Therefore, selecting the median of the adjusted temperature range as the target coolant temperature in this way can not only meet the cooling needs under the current environment, but also avoid parameter deviations. After obtaining the target coolant temperature optimized for the current environment, the coolant system can be accurately controlled according to the target temperature to keep the coolant in a constant optimal state, thereby achieving efficient cooling of the heat-generating components.

[0047] Step 103: Receive the current charging temperature of each heating device.

[0048] Among them, the charging temperature refers to the real-time temperature value of the surface or inside of the heating device during the charging process. In the embodiment of the present application, it can be understood as the instantaneous temperature parameter of the heating device detected by the temperature sensor, which is used to evaluate the cooling condition of the heating device and the operation effect of the cooling system, as well as to determine the subsequent control parameter adjustment direction.

[0049] Specifically, in order to achieve accurate closed-loop cooling control, temperature sensors are installed on the surface or key internal positions of the heating device to detect its temperature changes in real time. These sensors will output the collected temperature data in the form of digital or analog signals. The cooling system continuously and uninterruptedly receives the real-time temperature data of the heating device output by the sensor through the acquisition module. And these raw temperature data are parsed and processed in the control system and converted into accurate digital temperature values, which are the current charging temperature data. After obtaining these key charging temperature data, the control system can evaluate the current cooling status according to the size of the temperature value, the trend of change and other information, and adjust the parameters to achieve efficient closed-loop control. Therefore, receiving the charging temperature of the heating device is the first step in closed-loop cooling control and the basis for ensuring the implementation of the entire control strategy.

[0050] Step 104: Based on the target coolant flow rate and target coolant temperature of the coolant required by each heating device, the pump speed of the circulation pump in the liquid cooling system of the charging facility and the radiator fan speed corresponding to each heating device are adjusted accordingly to perform coolant cooling operation on each heating device until the charging temperature of each heating device is within a preset charging temperature range.

[0051] Among them, the pump speed of the circulating pump refers to the rotational speed of the circulating pump rotor. In the embodiment of the present application, it can be understood as a technical means for adjusting the coolant flow rate by controlling the working parameters of the circulating pump motor, which is used to accurately control the supply of coolant to each heating device according to the target coolant flow rate, thereby realizing closed-loop flow control.

[0052] The radiator fan speed refers to the rotation rate of the fan connected to the radiator for improving the heat dissipation effect. In the embodiment of the present application, it can be understood as a technical means for adjusting the coolant temperature by controlling the parameters of the fan motor, which is used to accurately control the cooling degree of the coolant according to the target coolant temperature to achieve temperature closed-loop control.

[0053] The coolant cooling operation refers to the process of using a circulating pump and a radiator to allow the coolant to flow through the heating device and take away the heat. In the embodiment of the present application, it can be understood as a technical means to absorb and transfer heat through heat exchange between the coolant and the heating device to reduce the temperature of the heating device, which is used to provide continuous and effective cooling for the heating device to prevent overheating.

[0054] The preset charging temperature range refers to the temperature range allowed during the charging process of the heating device. In the embodiment of the present application, it can be understood as the normal operating temperature range of the heating device determined by product design, which is used as a judgment standard for feedback parameters in the closed-loop control process. When the charging temperature exceeds this range, it is necessary to continue to optimize and adjust the cooling measures until the temperature returns to normal.

[0055] Specifically, in order to achieve accurate and dynamic cooling control, after obtaining the target coolant flow and target coolant temperature required for each heating device, the following control operations need to be performed: According to the target flow parameter, the pump speed is controlled by adjusting the working current or speed of the circulating pump to adjust the flow of coolant entering each heating device in real time. According to the target temperature parameter, the temperature of the coolant is adjusted by adjusting the speed of the fan connected to the radiator. The coolant that has been double-closed-loop controlled by flow and temperature is used to continuously cool the heating device and take away the heat in real time. At the same time, the charging temperature of the heating device is monitored and judged whether it is within the normal range. If it exceeds, continue to optimize the cooling measures. When the charging temperature is stable within the normal range, the precise control of the flow and temperature is completed. By dynamically controlling the two key parameters of the flow and temperature of the coolant in a closed loop, the real-time adjustment and optimization of the heating device can be achieved, which can effectively avoid the problem of uneven cooling of the heating device and improve the cooling efficiency of the coolant.

[0056] Based on the above embodiment, as an optional embodiment, in step 104: combining the target coolant flow rate and target coolant temperature of the coolant required by each heating device, correspondingly adjusting the pump speed of the circulation pump in the liquid cooling system of the charging facility and the radiator fan speed corresponding to each heating device, this step may also include the following steps: Step 301: Calculate the sum of the target coolant flow rates of the coolant required by each heating component to obtain a total target coolant flow rate.

[0057] Specifically, in order to rationally allocate cooling resources, it is necessary to clarify the total cooling demand of the entire system. First, according to the working status and parameters of each heating device, the target coolant flow rate required for each heating device is calculated. Then, the target flow values ​​of all heating devices are summed up to obtain the total target demand value of the system for coolant flow at this moment, that is, the total target coolant flow rate.

[0058] Step 302: Determine a target pump speed corresponding to the total target coolant flow rate based on a preset pump speed mapping table.

[0059] Among them, the preset pump speed mapping table refers to a pre-established table of coolant flow values ​​corresponding to the circulating pump at different speeds. In the embodiment of the present application, it can be understood as a quantitative correspondence between pump speed and flow obtained through experiments, which is used to quickly find the accurate pump speed parameters required for the target flow and realize closed-loop flow control.

[0060] The target pump speed refers to the speed parameter of the circulating pump that needs to be set to achieve the current total target coolant flow rate. In the embodiment of the present application, it can be understood as a specific pump speed value that meets the flow demand determined according to a mapping table, which is used to adjust and control the actual operating speed of the circulating pump so that the coolant flow rate accurately reaches the total target value of the system.

[0061] Specifically, in order to achieve precise control of the coolant flow rate, it is necessary to establish a correspondence between the flow rate and the pump speed. A pump speed mapping table is pre-established, which lists the corresponding flow values ​​at different pump speeds. After calculating the total target coolant flow rate, the system will look up the pump speed value corresponding to this flow value in the mapping table to determine the accurate pump speed parameters required to achieve the target flow rate. The obtained pump speed is the total target pump speed of the current system. Controlling the speed of the circulating pump to reach this speed value can accurately provide the required coolant flow rate to meet the cooling needs of the system. Establishing a mapping relationship between pump speed and flow rate and finding the target pump speed parameters are important intermediate steps to achieve closed-loop flow control. It achieves precise correspondence between flow demand and pump speed control, which helps to improve cooling effect and efficiency.

[0062] Step 303: obtaining the current coolant temperature of the coolant required by each heating device; for each heating device, calculating the coolant temperature difference between the target coolant temperature of the coolant required by the heating device and the current coolant temperature.

[0063] Specifically, in order to achieve accurate control of the coolant temperature, it is necessary to monitor the current coolant temperature in real time.

[0064] The current temperature of the coolant is detected in real time by installing a temperature sensor in the coolant pipeline. At the same time, the corresponding target coolant temperature is calculated according to the cooling requirements of each heating device. Then, the current coolant temperature is compared with the target temperature, and the numerical difference between the two, that is, the coolant temperature difference, is calculated. After the temperature difference is obtained, it can be used as a control reference for adjusting the coolant temperature. If the current temperature is higher than the target temperature, the fan speed needs to be increased for forced cooling. Monitoring the current coolant temperature and calculating the temperature difference are important steps to achieve closed-loop control of the coolant temperature, which helps to obtain control parameters and make precise adjustments.

[0065] Step 304: Based on a preset fan speed mapping table, determine the target fan speed corresponding to each coolant temperature difference; adjust the pump speed of the circulation pump in the charging facility liquid cooling system to the target pump speed, and adjust the radiator fan speed corresponding to each heating device to the target fan speed.

[0066] Among them, the preset fan speed mapping table refers to a pre-established numerical correspondence table between the coolant temperature difference and the corresponding fan speed. In the embodiment of the present application, it can be understood as a quantitative mapping relationship between the temperature difference and the fan speed determined by experiment, which is used to quickly find the exact fan speed required for the target temperature difference and realize temperature closed-loop control.

[0067] The target fan speed refers to the fan rotation rate parameter required to make the coolant reach the target temperature, which is determined in a preset mapping table based on the temperature difference of the coolant. In the embodiment of the present application, it can be understood as a theoretical speed value that meets the temperature control requirements, and is used to actually adjust the operating speed of the fan so that the coolant can be accurately cooled to the target temperature corresponding to each heating component.

[0068] Specifically, in order to achieve precise control of the coolant temperature, after calculating the temperature difference of the coolant of each heating device, the following control operation needs to be performed: According to the preset mapping table of temperature difference and fan speed, determine the target fan speed corresponding to each temperature difference. Adjust the actual speed of the circulating pump to the target pump speed calculated previously, and adjust the actual speed of the radiator fan corresponding to each heating device to the respective target fan speed. By adjusting the fan speed, the supply temperature of the coolant to each heating device is accurately controlled, and the flow rate is controlled by combining the pump speed to achieve dual closed-loop control of the coolant temperature and flow rate. With the help of the preset mapping relationship, accurate target fan speed parameters are obtained, and the fan speed is accurately adjusted on the basis of fully considering the flow control. This can not only meet the temperature requirements of each heating device, but also achieve temperature closed-loop control, which helps to improve the cooling effect.

[0069] Based on the above embodiment, as an optional embodiment, in step 104: combining the target coolant flow rate and target coolant temperature of the coolant required by each heating device, correspondingly adjusting the pump speed of the circulation pump in the liquid cooling system of the charging facility and the radiator fan speed corresponding to each heating device, this step may also include the following steps: Step 305: Divide the target coolant flow rate of the coolant required by each heating device by the sum of the target coolant flow rates to obtain the coolant flow rate ratio of each heating device.

[0070] Among them, the coolant flow ratio refers to the ratio of the target coolant flow required by each heating device to the total target flow. In the embodiment of the present application, it can be understood as the percentage of coolant resources occupied by the heating device in the entire cooling system, which is used as the basis for coolant planning and allocation, and coolant is accurately supplied to the heating device in proportion.

[0071] Specifically, in order to rationally plan and utilize limited coolant resources so that each heat-generating device receives a cooling supply in proportion to the demand, the following calculations need to be performed: Calculate the target coolant flow rate for each heat-generating device. Calculate the sum of the target flow rates of all heat-generating devices as the total coolant supply for the entire system. Divide the target flow rate of a single heat-generating device by the total target flow rate to calculate the flow rate proportion of each heat-generating device in the entire system. After obtaining the coolant flow rate ratio of the heat-generating device, the actual coolant supply can be allocated according to this ratio to avoid overheating of a single device. Calculating the ratio realizes the rational planning of resources and helps to improve the cooling effect of the entire machine.

[0072] Step 306: For each heating device, the solenoid valve opening is determined based on the coolant flow rate ratio, and the current opening of the solenoid valve corresponding to the heating device is adjusted to the solenoid valve opening.

[0073] Among them, the solenoid valve opening refers to the size of the flow area of ​​the solenoid valve. In the embodiment of the present application, it can be understood as the adjustment range of the solenoid valve on the coolant flow, which is used to accurately control the flow of coolant in each branch pipeline according to the flow ratio, thereby realizing on-demand supply to the heating device.

[0074] Specifically, in order to achieve the proportional supply of coolant to each heating device, the following control is required: According to the calculated coolant flow ratio of each heating device. For each heating device, determine the opening parameter of the corresponding solenoid valve. The opening of the solenoid valve is proportional to the flow rate. The appropriate opening is determined according to the proportional relationship, and the actual opening of each solenoid valve is adjusted to the corresponding target opening, thereby achieving the purpose of proportional supply of coolant. By accurately adjusting the opening of each shunt pipeline through the solenoid valve, the coolant flow of each heating device can be accurately controlled to achieve a reasonable allocation of resources.

[0075] Based on the above embodiment, as an optional embodiment, in step 306: determining the opening of the solenoid valve based on the coolant flow ratio, this step may also include the following steps: Step 316: Obtain the reference opening of the solenoid valve corresponding to each heating device; multiply the coolant flow rate ratio of each heating device by the corresponding reference opening to obtain the target opening of the solenoid valve corresponding to each heating device.

[0076] Among them, the reference opening refers to the set opening value under the normal working state of the solenoid valve. In the embodiment of the present application, it can be understood as the default opening size of the solenoid valve, which is used as the basis for adjusting the opening of the solenoid valve. On this basis, the actual solenoid valve opening is controlled according to the flow ratio planning, so that the solenoid valve operates within an appropriate opening range.

[0077] The target opening refers to the required opening value of the solenoid valve obtained after flow ratio calculation to achieve accurate coolant distribution. In the embodiment of the present application, it can be understood as the theoretical opening parameter of the solenoid valve that meets the flow distribution requirements. It is used to accurately adjust the actual opening of the solenoid valve according to the target opening, so that each branch pipeline obtains an accurate coolant flow rate and realizes a reasonable supply to the heating device.

[0078] Specifically, in order to achieve accurate distribution of coolant, after calculating the flow ratio of each heating device, it is necessary to comprehensively consider the reference opening parameters of the solenoid valve, and perform the following control: First, obtain the reference opening value of each solenoid valve as the default opening under normal working conditions. Calculate the coolant flow ratio parameter corresponding to each heating device, multiply the flow ratio of each heating device by the corresponding solenoid valve reference opening, and combine it with the reference opening to obtain the target opening of the solenoid valve that meets the flow distribution requirements. Accurately adjust the actual opening of each solenoid valve to the calculated target opening value to achieve accurate distribution of coolant to each heating device. Considering the reference opening parameters, it is possible to avoid the solenoid valve from exceeding the normal working area, thereby achieving more precise and controllable coolant distribution.

[0079] Step 326: If the target opening is within the preset opening range, the target opening is used as the solenoid valve opening; if the target opening is not within the preset opening range, the opening with the smallest difference between the preset opening range and the target opening is used as the solenoid valve opening.

[0080] Among them, the preset opening range refers to the controllable opening range when the solenoid valve is working normally. In the embodiment of the present application, it can be understood as a reasonable opening adjustment range determined by the structure and performance parameters of the solenoid valve, which is used to compare with the target opening and limit the solenoid valve opening control within this range to avoid failure due to exceeding the mechanical structure range of the valve.

[0081] Specifically, in order to prevent the solenoid valve opening from exceeding the normal range, after obtaining the target opening, the following processing is required: pre-set the normal opening control range of the solenoid valve, and compare the calculated target opening with the range. If the target opening is within the range, it is directly used as the final solenoid valve opening. If the target opening exceeds the range, the opening value with the smallest difference with it is selected within the range as the final opening, and the solenoid valve is accurately adjusted to the final opening value, which can prevent the solenoid valve from opening too large or too small, ensure that it works within the appropriate control range, and avoid malfunctions.

[0082] Based on the above embodiment, as an optional embodiment, in step 104: combining the target coolant flow rate and target coolant temperature of the coolant required by each heating device, correspondingly adjusting the pump speed of the circulation pump in the liquid cooling system of the charging facility and the radiator fan speed corresponding to each heating device, so as to perform a coolant cooling operation on each heating device until the charging temperature of each heating device is within a preset charging temperature range, after this step, the following steps may also be included: Step 401: Obtain the usage time of the coolant required for each heating component.

[0083] Among them, the usage time refers to the total time that the heating device has used and is predicted to use coolant. In the embodiment of the present application, it can be understood as the time span that the heating device needs to be cooled when working. It is used to evaluate the cooling liquid usage demand of the heating device, and reasonably plan and allocate cooling liquid resources according to different usage times to achieve precise supply control.

[0084] Specifically, in order to optimize the coolant distribution plan, it is necessary to obtain the usage time parameters of each heating device, which is specifically implemented as follows: monitor the working status of the heating device in real time and calculate the time it has been used. According to the task flow of the heating device, the duration required for its overall working cycle is predicted. Combining the time that has been used and the predicted time, the overall coolant usage time of the heating device can be obtained. The usage time directly corresponds to its coolant demand. After obtaining the usage time, the resource demand of each heating device can be more accurately evaluated, so as to formulate a reasonable coolant distribution plan. Obtaining the usage time is a key prerequisite for planning resource allocation, which can avoid problems such as inaccurate demand assessment and unreasonable resource allocation.

[0085] Step 402: For each heating device, if the usage time of the coolant required by the heating device is greater than or equal to the coolant replacement time threshold, a coolant replacement reminder message is sent to the staff of the charging facility liquid cooling system.

[0086] Among them, the coolant replacement time threshold refers to the usage time of the coolant from being full to the need for replacement. In the embodiment of the present application, it can be understood as the service life threshold of the coolant, which is used to compare with the actual usage time of the heating device. When the usage time exceeds the replacement time threshold, a replacement reminder is sent to the maintenance personnel to avoid the coolant running out and causing cooling failure.

[0087] Specifically, in order to prevent the coolant from running out and affecting the cooling effect, the following processing is required after obtaining the usage time: pre-set the coolant life threshold, that is, the time from when the coolant is full to when it needs to be replaced. Calculate the total usage time of each heating device and compare it with the coolant replacement time threshold. If the usage time of the heating device exceeds the threshold, it means that the coolant is almost exhausted. At this time, it is necessary to immediately send a coolant replacement reminder message to the staff of the liquid cooling system of the corresponding charging facility through the system, prompting the staff to replenish or replace it in time to avoid failure of the cooling function. Judging the replacement timing and prompting the staff for maintenance can ensure that the coolant is updated before it is exhausted, ensuring stable and reliable operation of the system.

[0088] Reference Figure 2 , is an operating condition optimization system for a charging facility liquid cooling system provided by an embodiment of the present application, the system comprising: a data acquisition module, a coolant determination module, a charging temperature receiving module, and a charging facility liquid cooling system cooling module, wherein: A data acquisition module, used to acquire charging load data of multiple heating devices in the charging facility liquid cooling system and ambient temperature data of the environment in which the charging facility liquid cooling system is located; A coolant determination module is used to determine, for each heating device, a target coolant flow rate of the coolant required by the heating device based on the load voltage and the load current in the charging load data, and to determine a target coolant temperature of the coolant required by the heating device based on the ambient temperature data; A charging temperature receiving module is used to receive the current charging temperature of each heating device; The cooling module of the liquid cooling system of the charging facility is used to adjust the pump speed of the circulation pump in the liquid cooling system of the charging facility and the radiator fan speed corresponding to each heating component in combination with the target coolant flow and target coolant temperature of the coolant required by each heating component, so as to perform coolant cooling operation on each heating component until the charging temperature of each heating component is within a preset charging temperature range.

[0089] Based on the above embodiment, the coolant determination module is also used to obtain the working efficiency rating value of the corresponding device type of the heating device; determine the thermal power of the heating device based on the load voltage and load current; multiply the thermal power by the working efficiency rating value to obtain the thermal load of the heating device, and calculate the ratio between the thermal load and the benchmark thermal load to obtain the correction coefficient; multiply the correction coefficient by the benchmark coolant flow rate to obtain the target coolant flow rate of the coolant required by the heating device.

[0090] Based on the above embodiment, the coolant determination module is also used to calculate the ambient temperature difference between the ambient temperature data and the reference ambient temperature; adjust the preset standard coolant temperature range according to the ambient temperature difference to obtain the adjusted coolant temperature range; and use the median of the adjusted coolant temperature range as the target coolant temperature of the coolant required for the heating device.

[0091] On the basis of the above embodiments, the cooling module of the liquid cooling system of the charging facility is also used to calculate the sum of the target coolant flow rates of the coolant required by each heating device to obtain the total target coolant flow rate; based on a preset pump speed mapping table, determine the target pump speed corresponding to the total target coolant flow rate; obtain the current coolant temperature of the coolant required by each heating device; for each heating device, calculate the coolant temperature difference between the target coolant temperature of the coolant required by the heating device and the current coolant temperature; based on a preset fan speed mapping table, determine the target fan speed corresponding to each coolant temperature difference; adjust the pump speed of the circulating pump in the liquid cooling system of the charging facility to the target pump speed, and adjust the radiator fan speed corresponding to each heating device to the target fan speed.

[0092] On the basis of the above-mentioned embodiment, the cooling module of the liquid cooling system of the charging facility is also used to divide the target coolant flow rate of the coolant required by each heating device by the sum of the target coolant flow rates to obtain the coolant flow rate ratio of each heating device; for each heating device, based on the coolant flow rate ratio, the solenoid valve opening is determined, and the current opening of the solenoid valve corresponding to the heating device is adjusted to the solenoid valve opening.

[0093] On the basis of the above-mentioned embodiment, the cooling module of the liquid cooling system of the charging facility is also used to obtain the reference opening of the solenoid valve corresponding to each heating device; the coolant flow ratio of each heating device is multiplied by the corresponding reference opening to obtain the target opening of the solenoid valve corresponding to each heating device; if the target opening is within the preset opening range, the target opening is used as the solenoid valve opening; if the target opening is not within the preset opening range, the opening with the smallest difference between the preset opening range and the target opening is used as the solenoid valve opening.

[0094] Based on the above embodiment, the cooling module of the liquid cooling system of the charging facility is also used to obtain the usage time of the coolant required for each heat-generating component; for each heat-generating component, if the usage time of the coolant required for the heat-generating component is greater than or equal to the coolant replacement time threshold, a coolant replacement reminder message is sent to the corresponding staff of the liquid cooling system of the charging facility.

[0095] It should be noted that: when the device provided in the above embodiment realizes its function, only the division of the above functional modules is used as an example. In actual application, the above functions can be assigned to different functional modules as needed, that is, the internal structure of the device is divided into different functional modules to complete all or part of the functions described above. In addition, the device and method embodiments provided in the above embodiment belong to the same concept, and the specific implementation process is detailed in the method embodiment, which will not be repeated here.

[0096] The present application also discloses an electronic device. Figure 3 , Figure 3 The electronic device 300 may include: at least one processor 301 , at least one network interface 304 , a user interface 303 , a memory 305 , and at least one communication bus 302 .

[0097] The communication bus 302 is used to realize the connection and communication between these components.

[0098] The user interface 303 may include a display interface and a camera interface. Optionally, the user interface 303 may also include a standard wired interface and a wireless interface.

[0099] The network interface 304 may optionally include a standard wired interface or a wireless interface (such as a WI-FI interface).

[0100] Among them, the processor 301 may include one or more processing cores. The processor 301 uses various interfaces and lines to connect various parts in the entire server, and executes various functions of the server and processes data by running or executing instructions, programs, code sets or instruction sets stored in the memory 305, and calling data stored in the memory 305. Optionally, the processor 301 can be implemented in at least one hardware form of digital signal processing (Digital Signal Processing, DSP), field programmable gate array (Field-Programmable Gate Array, FPGA), and programmable logic array (Programmable Logic Array, PLA). The processor 301 can integrate one or a combination of a central processing unit (Central Processing Unit, CPU), a graphics processing unit (Graphics Processing Unit, GPU) and a modem. Among them, the CPU mainly processes the operating system, user interface diagrams and applications, etc.; the GPU is responsible for rendering and drawing the content to be displayed on the display screen; the modem is used to process wireless communications. It can be understood that the above-mentioned modem may not be integrated into the processor 301, and it can be implemented separately through a chip.

[0101] Among them, the memory 305 may include a random access memory (Random Access Memory, RAM) and may also include a read-only memory (Read-Only Memory). Optionally, the memory 305 includes a non-transitory computer-readable storage medium. The memory 305 can be used to store instructions, programs, codes, code sets or instruction sets. The memory 305 may include a program storage area and a data storage area, wherein the program storage area may store instructions for implementing an operating system, instructions for at least one function (such as a touch function, a sound playback function, an image playback function, etc.), instructions for implementing the above-mentioned various method embodiments, etc.; the data storage area may store data involved in the above-mentioned various method embodiments, etc. The memory 305 may optionally also be at least one storage device located away from the aforementioned processor 301. Refer to Figure 3 , the memory 305 as a computer storage medium may include an operating system, a network communication module, a user interface module, and an application program of a method for optimizing the operating conditions of a charging facility liquid cooling system.

[0102] exist Figure 3In the electronic device 300 shown, the user interface 303 is mainly used to provide an input interface for the user and obtain the data input by the user; and the processor 301 can be used to call the application program of a method for optimizing the operating condition of the liquid cooling system of a charging facility stored in the memory 305. When executed by one or more processors 301, the electronic device 300 executes one or more methods in the above-mentioned embodiments. It should be noted that for the aforementioned method embodiments, for the sake of simple description, they are all expressed as a series of action combinations, but those skilled in the art should know that the present application is not limited to the described order of actions, because according to the present application, certain steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also know that the embodiments described in the specification are all preferred embodiments, and the actions and modules involved are not necessarily required for the present application.

[0103] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0104] In the several embodiments provided in this application, it should be understood that the disclosed devices can be implemented in other ways. For example, the device embodiments described above are only schematic, such as the division of units, which is only a logical function division. 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 service interfaces, and the indirect coupling or communication connection of devices or units can be electrical or other forms.

[0105] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0106] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0107] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable memory. Based on this understanding, the technical solution of the present application, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product, which is stored in a memory and includes several instructions for a computer device (which can be a personal computer, server or network device, etc.) to execute all or part of the steps of the various embodiments of the present application. The aforementioned memory includes: various media that can store program codes, such as USB flash drives, mobile hard drives, magnetic disks or optical disks.

[0108] The above are only exemplary embodiments of the present disclosure and cannot be used to limit the scope of the present disclosure. That is, any equivalent changes and modifications made according to the teachings of the present disclosure are still within the scope of the present disclosure. After considering the disclosure of the specification and practice, those skilled in the art will easily think of other embodiments of the present disclosure.

[0109] This application is intended to cover any variation, use or adaptation of the present disclosure, which follows the general principles of the present disclosure and includes common knowledge or customary technical means in the art not recorded in the present disclosure. The description and examples are to be regarded as exemplary only.

Claims

1. A method for optimizing the operating conditions of a liquid cooling system of a charging facility, characterized in that: include: Acquire charging load data of a plurality of heating components in a liquid cooling system of a charging facility and ambient temperature data of an environment in which the liquid cooling system of the charging facility is located; For each of the heating devices, determining a target coolant flow rate of the cooling liquid required by the heating device based on the load voltage and the load current in the charging load data, and determining a target coolant temperature of the cooling liquid required by the heating device based on the ambient temperature data; Receiving the current charging temperature of each of the heating devices; In combination with the target coolant flow rate and target coolant temperature of the coolant required by each of the heat-generating components, the pump speed of the circulation pump in the liquid cooling system of the charging facility and the speed of the radiator fan corresponding to each of the heat-generating components are adjusted accordingly to perform coolant cooling operations on each of the heat-generating components until the charging temperature of each of the heat-generating components is within a preset charging temperature range.

2. The method for optimizing the operating conditions of the liquid cooling system of a charging facility according to claim 1, characterized in that: The step of determining a target coolant flow rate of the coolant required by the heating device based on the load voltage and the load current in the charging load data includes: Obtaining a working efficiency value of a device type corresponding to the heating device; Determining the heat power of the heat generating device based on the load voltage and the load current; The thermal power is multiplied by the working efficiency standard value to obtain the thermal load of the heating device, and the ratio between the thermal load and the reference thermal load is calculated to obtain a correction coefficient; The correction coefficient is multiplied by the reference coolant flow rate to obtain the target coolant flow rate of the coolant required by the heating device.

3. The method for optimizing the operating conditions of the liquid cooling system of a charging facility according to claim 1, characterized in that: The step of determining a target coolant temperature of the coolant required by the heat generating device based on the ambient temperature data includes: Calculating an ambient temperature difference between the ambient temperature data and a reference ambient temperature; Adjusting the preset standard coolant temperature range according to the ambient temperature difference to obtain an adjusted coolant temperature range; The median value of the adjusted coolant temperature range is used as the target coolant temperature of the coolant required by the heat generating device.

4. The method for optimizing the operating conditions of the liquid cooling system of a charging facility according to claim 1, characterized in that: The step of adjusting the pump speed of the circulation pump in the liquid cooling system of the charging facility and the radiator fan speed corresponding to each of the heating components in combination with the target coolant flow rate and the target coolant temperature of the coolant required by each of the heating components includes: Calculating the sum of the target coolant flow rates of the coolant required by each of the heating components to obtain a total target coolant flow rate; Determining a target pump speed corresponding to the total target coolant flow rate based on a preset pump speed mapping table; Obtaining the current coolant temperature of the coolant required by each of the heating components; For each of the heating components, calculating a coolant temperature difference between a target coolant temperature required by the heating component and a current coolant temperature; Determining the target fan speed corresponding to each of the coolant temperature differences based on a preset fan speed mapping table; The pump speed of the circulation pump in the liquid cooling system of the charging facility is adjusted to the target pump speed, and the speed of the radiator fan corresponding to each of the heating components is adjusted to the target fan speed.

5. The method for optimizing the operating conditions of the liquid cooling system of a charging facility according to claim 1, characterized in that: After adjusting the pump speed of the circulation pump in the liquid cooling system of the charging facility and the radiator fan speed corresponding to each of the heating components in accordance with the target coolant flow rate and the target coolant temperature of the coolant required by each of the heating components, the method further includes: Dividing the target coolant flow rate of the coolant required by each of the heating devices by the sum of the target coolant flow rates to obtain a coolant flow rate ratio of each of the heating devices; For each of the heating components, the opening of the solenoid valve is determined based on the coolant flow rate ratio, and the current opening of the solenoid valve corresponding to the heating component is adjusted to the solenoid valve opening.

6. The method for optimizing the operating conditions of the liquid cooling system of a charging facility according to claim 5, characterized in that: The determining of the opening of the solenoid valve based on the coolant flow ratio includes: Obtaining a reference opening of the solenoid valve corresponding to each of the heating devices; Multiplying the coolant flow rate ratio of each heating device by the corresponding reference opening to obtain the target opening of the solenoid valve corresponding to each heating device; If the target opening is within a preset opening range, the target opening is used as the solenoid valve opening; If the target opening is not within the preset opening range, the opening with the smallest difference between the preset opening range and the target opening is used as the solenoid valve opening.

7. The method for optimizing the operating conditions of a liquid cooling system of a charging facility according to claim 1, characterized in that: The method further includes: adjusting the pump speed of the circulation pump in the liquid cooling system of the charging facility and the radiator fan speed corresponding to each of the heating devices in combination with the target coolant flow rate and the target coolant temperature of the coolant required by each of the heating devices, so as to perform a coolant cooling operation on each of the heating devices until the charging temperature of each of the heating devices is within a preset charging temperature range; Obtaining the usage time of the coolant required by each of the heating components; For each of the heat-generating components, if the usage time of the coolant required by the heat-generating component is greater than or equal to the coolant replacement time threshold, a coolant replacement reminder message is sent to the staff corresponding to the liquid cooling system of the charging facility.

8. An operating condition optimization system for a liquid cooling system of a charging facility, characterized in that: The system comprises: A data acquisition module, used to acquire charging load data of a plurality of heating devices in a liquid cooling system of a charging facility and ambient temperature data of an environment in which the liquid cooling system of the charging facility is located; a coolant determination module, configured to determine, for each of the heating devices, a target coolant flow rate of the coolant required by the heating device based on the load voltage and the load current in the charging load data, and determine a target coolant temperature of the coolant required by the heating device based on the ambient temperature data; A charging temperature receiving module, used to receive the current charging temperature of each heating device; The cooling module of the liquid cooling system of the charging facility is used to adjust the pump speed of the circulation pump in the liquid cooling system of the charging facility and the radiator fan speed corresponding to each of the heating components in combination with the target coolant flow and target coolant temperature of the coolant required by each of the heating components, so as to perform coolant cooling operation on each of the heating components until the charging temperature of each of the heating components is within a preset charging temperature range.

9. An electronic device, characterized in that: It includes a processor, a memory, a user interface and a network interface, the memory is used to store instructions, the user interface and the network interface are used to communicate with other devices, and the processor is used to execute the instructions stored in the memory so that the electronic device executes the operating condition optimization method of the liquid cooling system of a charging facility as described in any one of claims 1-7.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores instructions, and when the instructions are executed, a method for optimizing the operating conditions of a liquid cooling system of a charging facility as described in any one of claims 1-7 is executed.

Images