Temperature self-adaptive control method, system and equipment for liquid cooling cable of high-power charging gun and storage medium

Abstract

The invention relates to the technical field of liquid cooling heat dissipation control. The invention provides a temperature self-adaptive control method, system and device for a liquid cooling cable of a high-power charging gun and a storage medium. The method comprises the following steps: acquiring a cable body structure, a charging condition and a cooling liquid state parameter, and constructing an initial data set; based on a data set fusion heat conduction mechanism, establishing a dynamic control model of the cable temperature, the working condition and the cooling liquid flow rate; collecting parameters in real time, inputting the parameters into the model, and calculating a target temperature and a cooling liquid flow velocity threshold; comparing the target temperature with a safe temperature threshold, if the target temperature exceeds the standard, adjusting the rotating speeds of the water pump and the fan, otherwise, maintaining the current state; actual temperature and flow velocity are monitored in real time, and model coefficients are corrected according to temperature difference. The problems that an existing liquid cooling control method for the high-power charging gun is lagged in response, high in computing resource requirement and insufficient in control precision and energy efficiency under complex working conditions are solved.

Description

Technical Field

[0001] This invention relates to the field of liquid cooling heat dissipation control technology, and more specifically, to a temperature adaptive control method, system, device, and storage medium for a high-power charging gun liquid-cooled cable. Background Technology

[0002] With the rapid development of high-power charging technology for electric vehicles, liquid cooling has become a key means to ensure the safe operation of charging gun cables under high voltage and high current conditions. Existing liquid cooling control technologies are mainly divided into two categories: one is a hierarchical control strategy based on preset power levels, such as the adaptive control method for liquid cooling systems disclosed in CN119611106A, which sets a target output power and adjusts the fan and water pump speeds according to priority to meet heat dissipation requirements; the other is a predictive control method based on neural network models, such as the liquid cooling charging control scheme proposed in CN120327303A, which predicts the cable center temperature by constructing a liquid cooling charging control network model, and then adjusts the coolant flow rate.

[0003] However, existing technologies still have the following shortcomings: (1) The power-based control method relies on a preset temperature-current mapping table, which is difficult to adapt to complex and ever-changing actual working conditions, especially when there is a lag in response to instantaneous power fluctuations or sudden changes in ambient temperature. (2) Although neural network control methods have predictive capabilities, their model structures are complex, computational resource requirements are high, and they rely on a large number of samples for training, which poses challenges to real-time performance and reliability in actual deployment. (3) Existing methods mostly focus on system-level heat dissipation control, lacking in-depth integration of the structural characteristics and heat conduction mechanism of the liquid-cooled cable body, resulting in limited control accuracy and energy efficiency. Summary of the Invention

[0004] The purpose of this invention is to provide a temperature adaptive control method, system, device, and storage medium for liquid-cooled cables of high-power charging guns, aiming to solve the problems of slow response, high computational resource requirements, and insufficient control accuracy and energy efficiency of existing liquid-cooled control methods for high-power charging guns under complex operating conditions.

[0005] This invention is achieved through the following technical solution: A method for adaptive temperature control of a high-power charging gun liquid-cooled cable includes the following steps: Collect the structural parameters, charging condition parameters, and coolant state parameters of the liquid-cooled cable of the high-power charging gun to construct an initial parameter dataset; Based on the parameter dataset, the heat conduction mechanism of liquid-cooled cables is integrated to construct a dynamic control model of cable temperature, operating conditions, and coolant flow rate. The cable temperature and coolant flow rate are dynamically correlated through the coupling calculation of heat conduction equation and operating condition parameters. The system collects the structural parameters, charging conditions, and coolant status parameters of the high-power charging gun liquid-cooled cable in real time, constructs a real-time parameter dataset, and inputs the real-time parameter dataset into the dynamic control model to calculate the target temperature of the liquid-cooled cable. At the same time, it outputs the coolant flow rate threshold that meets the heat dissipation requirements under the current operating conditions. The target temperature is compared with the preset safe temperature threshold. If the target temperature is higher than the safe temperature threshold, the water pump speed and fan speed in the liquid cooling system are adjusted according to the coolant flow rate threshold output by the dynamic control model. If the target temperature is lower than the safe temperature threshold, the current coolant flow rate and fan speed are maintained. The actual temperature of the liquid-cooled cable and the actual flow rate of the coolant are monitored in real time. The difference between the actual temperature and the target temperature is compared, and the calculation coefficients of the dynamic control model are adjusted according to the difference.

[0006] Optionally, the specific process of collecting the structural parameters, charging condition parameters, and coolant state parameters of the high-power charging gun liquid-cooled cable to construct the initial parameter dataset is as follows: The body structure parameters are obtained through cable design specifications; wherein, the body structure parameters include the number of cable cores, the cross-sectional area of ​​the core wires, and the dimensions of the liquid cooling channel; The charging operating parameters are collected by sensors in the charging system; wherein, the charging operating parameters include charging current, charging voltage and instantaneous power fluctuation value; The coolant state parameters are collected by sensors in the cooling system; wherein, the coolant state parameters include coolant temperature, flow rate and viscosity. The body structure parameters, charging condition parameters, and coolant state parameters are integrated and standardized to form an initial parameter dataset.

[0007] Optionally, the specific process of constructing the dynamic control model of cable temperature-operating condition-coolant flow rate is as follows: Based on the initial parameter dataset, a heat conduction differential equation for the liquid-cooled cable is established; wherein, the heat conduction differential equation integrates the cable body structural parameters, charging condition parameters and coolant state parameters, and introduces the balance relationship between the heating power of the cable core and the heat absorption power of the coolant. The heat conduction differential equation is dynamically correlated with the charging condition parameters through coupled calculations to solve the response function of cable temperature as the coolant flow rate changes. Based on the response function, a dynamic control model of cable temperature-operating condition-coolant flow rate is constructed. The dynamic control model outputs the coolant flow rate threshold and target temperature that meet the heat dissipation requirements under different charging conditions.

[0008] Optionally, the specific process of establishing the heat conduction differential equation of the liquid-cooled cable based on the initial parameter dataset is as follows: Based on the number of cable cores and the cross-sectional area of ​​the core wires in the main body structure parameters, the resistance value and heat capacity value per unit length of the cable core wire are calculated; wherein, the resistance value per unit length is determined by the ratio of the resistivity of the core wire material to the cross-sectional area of ​​the core wire, and the heat capacity value is determined by the product of the specific heat capacity of the core wire material and the mass of the core wire. Based on the charging current in the charging condition parameters and the resistance value per unit length, the heat generation power per unit length of the cable core is calculated; wherein, the heat generation power per unit length is determined by multiplying the square of the charging current by the resistance value per unit length. Based on the coolant flow rate and viscosity in the coolant state parameters, and combined with the liquid cooling channel size in the body structure parameters, the heat transfer coefficient between the coolant and the wire core is calculated; wherein, the heat transfer coefficient is determined by the correlation function of coolant flow rate, viscosity and liquid cooling channel size, and the correlation function is derived based on the Nusselt number relationship in fluid mechanics. Based on the heat transfer coefficient and the coolant temperature in the coolant state parameters, the heat absorption power per unit length of the cable by the coolant is calculated; wherein, the heat absorption power per unit length is determined by the product of the heat transfer coefficient, the heat transfer area, and the difference between the cable temperature and the coolant temperature. Based on the principle of thermal balance, the heat generation power per unit length and the heat absorption power per unit length are dynamically balanced and coupled to establish a differential equation for the heat conduction of the cable temperature over time; the differential equation for the heat conduction is shown in equation (1) below:

[0009] in, This indicates the heat capacity per unit length of the cable; Indicates cable temperature; Indicates actual time; Indicates the charging current; This indicates the resistance value per unit length of the cable; Indicates the heat transfer coefficient; Represents the heat transfer area per unit length; The heat transfer coefficient represents the coolant temperature. With coolant flow rate The relationship is established through the following formula (2):

[0010] in, and This is an empirical coefficient determined based on the coolant viscosity and the size of the liquid cooling channel.

[0011] Optionally, the specific process of dynamically associating the heat conduction differential equation with the charging operating parameters through coupled calculation to solve the response function of cable temperature as a function of coolant flow rate is as follows: Substituting equation (2) into equation (1), we obtain the modified heat conduction differential equation containing the coolant flow rate variable, as shown in equation (3) below:

[0012] Based on the instantaneous power fluctuation value in the charging condition parameters, combined with the charging voltage, the dynamic change relationship of the charging current is derived, and the charging current is expressed as a dynamic current function that varies with time. As shown in equation (4):

[0013] in, Indicates the reference charging current; This represents the amount of current fluctuation caused by instantaneous power fluctuations; Substituting the dynamic current function (4) into the modified heat conduction differential equation (3), the dynamic coupling of the heat conduction mechanism and the charging condition parameters is realized, and the coupling equation is obtained as shown in equation (5) below:

[0014] Set the initial conditions as At that time, cable temperature Solving the coupled equation (5), the dynamic response function of the cable temperature with respect to the coolant flow rate, time, and charging conditions is obtained by using the separation of variables method or the integral factor method, as shown in equation (6) below:

[0015] in, It represents the dynamic value of cable temperature changing with time and coolant flow rate; it represents the time variable in the integration process, used to calculate the cumulative effect from the initial moment to the current moment; Represents the natural constant; Initial temperature of the cable; Based on the dynamic response function, the variation law of cable temperature with time under different coolant flow rates is analyzed, and the mapping relationship between cable temperature and coolant flow rate is extracted as the response function of cable temperature with coolant flow rate.

[0016] Optionally, the step of comparing the target temperature with a preset safe temperature threshold, and if the target temperature is higher than the safe temperature threshold, adjusting the water pump speed and fan speed in the liquid cooling system according to the coolant flow rate threshold output by the dynamic control model includes: Obtain the coolant flow rate threshold output by the dynamic control model, monitor the actual coolant flow rate in real time, and calculate the flow rate deviation between the actual coolant flow rate and the coolant flow rate threshold. Based on the flow velocity deviation, a proportional-integral control algorithm is used to generate a pump speed adjustment signal; According to the water pump speed adjustment signal, the water pump speed is adjusted so that the actual flow rate of the coolant approaches the coolant flow rate threshold. Based on the temperature difference between the actual temperature and the target temperature of the cable, a proportional control algorithm is used to adjust the fan speed.

[0017] Optionally, the specific process of correcting the calculation coefficients of the dynamic control model based on the difference is as follows: Set a fixed time interval correction cycle, collect the difference sequence between the actual temperature and the target temperature of the liquid-cooled cable in each correction cycle, and simultaneously record the difference sequence between the actual flow rate of the coolant and the coolant flow rate threshold. Based on the difference sequence, the mean absolute error and root mean square error of the dynamic control model are calculated; When the mean absolute error or root mean square error exceeds a preset error threshold, the empirical coefficients in the dynamic control model are dynamically adjusted using the recursive least squares method to optimize the prediction accuracy and response characteristics of the dynamic control model.

[0018] Based on the same inventive concept, this invention also provides a temperature adaptive control system for a high-power charging gun liquid-cooled cable, used to implement the aforementioned temperature adaptive control method for the high-power charging gun liquid-cooled cable, including: The parameter acquisition module is used to collect the structural parameters, charging condition parameters, and coolant status parameters of the liquid-cooled cable of the high-power charging gun, and to construct an initial parameter dataset and a real-time parameter dataset. The parameter acquisition module includes a cable design specification interface, a charging system sensor, and a cooling system sensor, which are used to acquire the structural parameters, charging condition parameters, and coolant status parameters, respectively. The dynamic control model construction module is used to construct a dynamic control model of cable temperature-operating condition-coolant flow rate based on the initial parameter dataset and the heat conduction mechanism of the liquid-cooled cable. The dynamic control model construction module includes a heat conduction equation calculation unit and a coupled calculation unit, which are used to establish the heat conduction differential equation and solve the response function of cable temperature as the coolant flow rate changes. The real-time calculation module is used to input the real-time parameter dataset into the dynamic control model to calculate the target temperature of the liquid-cooled cable and the coolant flow rate threshold that meets the heat dissipation requirements under the current operating conditions. The control execution module is used to compare the target temperature with a preset safe temperature threshold. If the target temperature is higher than the safe temperature threshold, the pump speed and fan speed in the liquid cooling system are adjusted according to the coolant flow rate threshold output by the dynamic control model. If the target temperature is lower than the safe temperature threshold, the current coolant flow rate and fan speed are maintained. The control execution module includes a proportional-integral control algorithm unit, which is used to generate a pump speed adjustment signal based on the flow rate deviation and adjust the fan speed based on the temperature difference. The feedback correction module is used to monitor the actual temperature of the liquid-cooled cable and the actual flow rate of the coolant in real time, compare the difference between the actual temperature and the target temperature, and correct the calculation coefficients of the dynamic control model based on the difference. The feedback correction module includes an error calculation unit and a recursive least squares correction unit, which are used to adjust the empirical coefficients of the model within a preset correction period.

[0019] Based on the same inventive concept, the present invention also provides an electronic device, including a memory and a processor, wherein the memory is used to store a computer program, and the processor runs the computer program to enable the electronic device to perform the above-described temperature adaptive control method for high-power charging gun liquid-cooled cables.

[0020] Based on the same inventive concept, the present invention also provides a computer-readable storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the above-described temperature adaptive control method for the liquid-cooled cable of a high-power charging gun.

[0021] The technical solution of the present invention has at least the following advantages and beneficial effects: By using a dynamic control model to couple the heat conduction equation with the operating parameters in real time, the limitations of traditional power tiered control that relies on a preset mapping table are overcome. This enables rapid response to instantaneous power fluctuations and changes in ambient temperature, avoids control lag, and ensures stable operation of the liquid cooling system under complex and variable operating conditions.

[0022] Based on the combination of physical mechanisms and data-driven approaches, the model calculation is simple, resource consumption is low, and the real-time performance and reliability of the control system are significantly improved, making it easier to deploy and apply in practice.

[0023] By integrating the structural characteristics and heat conduction mechanism of liquid-cooled cables, the model can accurately reflect the dynamic relationship between cable temperature and coolant flow rate. Through real-time monitoring and model correction, the coolant flow rate can be precisely adjusted, effectively reducing system energy consumption and improving energy efficiency while ensuring heat dissipation safety.

[0024] By acquiring parameters in real time and correcting model coefficients, the system can continuously adapt to long-term factors such as cable aging and environmental changes, maintain the optimality of the control strategy, extend the service life of the equipment, and improve the robustness and maintainability of the overall system. Attached Figure Description

[0025] Figure 1 This is a flowchart illustrating the temperature adaptive control method for the liquid-cooled cable of a high-power charging gun according to an embodiment of the present invention. Figure 2 This is a schematic diagram of the temperature adaptive control system for the liquid-cooled cable of a high-power charging gun according to an embodiment of the present invention. Detailed Implementation

[0026] The following is a detailed description of the embodiments, in conjunction with the accompanying drawings.

[0027] Reference Figure 1 A temperature adaptive control method for a high-power charging gun liquid-cooled cable includes the following steps: Step 1: Collect the structural parameters, charging condition parameters, and coolant status parameters of the high-power charging gun liquid-cooled cable to construct an initial parameter dataset.

[0028] In some embodiments, the specific process of collecting the structural parameters, charging condition parameters, and coolant state parameters of the high-power charging gun liquid-cooled cable to construct an initial parameter dataset is as follows: The structural parameters of the cable body are obtained through the cable design specifications; these parameters include the number of cable cores, the cross-sectional area of ​​the core wires, and the dimensions of the liquid cooling channel. Charging operating parameters are collected through sensors in the charging system; these parameters include charging current, charging voltage, and instantaneous power fluctuation. Coolant state parameters are collected by sensors in the cooling system; these parameters include coolant temperature, flow rate, and viscosity. The body structure parameters, charging condition parameters, and coolant state parameters are integrated and standardized to form an initial parameter dataset.

[0029] Step 2: Based on the parameter dataset, integrate the heat conduction mechanism of liquid-cooled cables to construct a dynamic control model of cable temperature, operating conditions, and coolant flow rate. Dynamically correlate cable temperature and coolant flow rate through the coupling calculation of heat conduction equation and operating condition parameters.

[0030] In some embodiments, the specific process of constructing a dynamic control model for cable temperature, operating conditions, and coolant flow rate is as follows: Based on the initial parameter dataset, a differential equation for heat conduction of liquid-cooled cables is established. The differential equation integrates the structural parameters of the cable body, the charging condition parameters, and the state parameters of the coolant, and introduces the balance relationship between the heat generation power of the cable core and the heat absorption power of the coolant. By coupling calculations, the heat conduction differential equation is dynamically correlated with the charging operating parameters to solve the response function of cable temperature as the coolant flow rate changes. Based on the response function, a dynamic control model of cable temperature-operating condition-coolant flow rate is constructed. The dynamic control model outputs the coolant flow rate threshold and target temperature that meet the heat dissipation requirements under different charging conditions.

[0031] In some embodiments, the specific process of establishing the heat conduction differential equation for liquid-cooled cables based on the initial parameter dataset is as follows: Based on the number of cable cores and the cross-sectional area of ​​the cores in the main body structure parameters, the resistance and heat capacity per unit length of the cable cores are calculated; wherein, the resistance per unit length is determined by the ratio of the resistivity of the core material to the cross-sectional area of ​​the core, and the heat capacity is determined by the product of the specific heat capacity of the core material and the mass of the core. Based on the charging current in the charging condition parameters and the resistance value per unit length, the heat generation power per unit length of the cable core is calculated; whereby the heat generation power per unit length is determined by multiplying the square of the charging current by the resistance value per unit length. Based on the coolant flow rate and viscosity in the coolant state parameters, and combined with the liquid cooling channel size in the body structure parameters, the heat transfer coefficient between the coolant and the wire core is calculated. The heat transfer coefficient is determined by the correlation function of coolant flow rate, viscosity and liquid cooling channel size, and the correlation function is derived based on the Nusselt number relationship in fluid mechanics. Based on the heat transfer coefficient and the coolant temperature in the coolant state parameters, the heat absorption power per unit length of the cable by the coolant is calculated; wherein, the heat absorption power per unit length is determined by the product of the heat transfer coefficient, the heat transfer area and the difference between the cable temperature and the coolant temperature. Based on the principle of thermal balance, the heat generation power per unit length and the heat absorption power per unit length are dynamically balanced and coupled to establish a differential equation for the heat conduction of the cable temperature over time; the differential equation for the heat conduction is shown in equation (1) below:

[0032] in, This indicates the heat capacity per unit length of the cable; Indicates cable temperature; Indicates actual time; Indicates the charging current; This indicates the resistance value per unit length of the cable; Indicates the heat transfer coefficient; Represents the heat transfer area per unit length; Indicates coolant temperature; heat transfer coefficient With coolant flow rate The relationship is established through the following formula (2):

[0033] in, and This is an empirical coefficient determined based on the coolant viscosity and the size of the liquid cooling channel.

[0034] In some embodiments, the specific process of dynamically associating the heat conduction differential equation with charging operating parameters through coupled calculation to solve the response function of cable temperature as a function of coolant flow rate is as follows: Substituting equation (2) into equation (1), we obtain the modified heat conduction differential equation containing the coolant flow rate variable, as shown in equation (3) below:

[0035] Based on the instantaneous power fluctuation value in the charging condition parameters, combined with the charging voltage, the dynamic change relationship of the charging current is derived, and the charging current is expressed as a dynamic current function that varies with time. As shown in equation (4):

[0036] in, Indicates the reference charging current; This represents the amount of current fluctuation caused by instantaneous power fluctuations; Substituting the dynamic current function (4) into the modified heat conduction differential equation (3), the dynamic coupling of the heat conduction mechanism and the charging condition parameters is realized, and the coupling equation is obtained as shown in equation (5) below:

[0037] Set the initial conditions as At that time, cable temperature Solving the coupled equation (5), the dynamic response function of the cable temperature with respect to the coolant flow rate, time, and charging conditions is obtained by using the separation of variables method or the integral factor method, as shown in equation (6) below:

[0038] in, It represents the dynamic value of cable temperature changing with time and coolant flow rate; it represents the time variable in the integration process, used to calculate the cumulative effect from the initial moment to the current moment; Represents the natural constant; Initial temperature of the cable; Based on the dynamic response function, the variation law of cable temperature with time under different coolant flow rates is analyzed, and the mapping relationship between cable temperature and coolant flow rate is extracted as the response function of cable temperature as coolant flow rate changes.

[0039] Step 3: Collect the structural parameters, charging conditions, and coolant status parameters of the high-power charging gun liquid-cooled cable in real time, construct a real-time parameter dataset, input the real-time parameter dataset into the dynamic control model, calculate the target temperature of the liquid-cooled cable, and output the coolant flow rate threshold that meets the heat dissipation requirements under the current operating conditions.

[0040] In some embodiments, sensors built into the charging system (such as Hall current sensors or voltage sensors) can be used to collect the charging current in real time. Charging voltage and instantaneous power fluctuation value The instantaneous power fluctuation value can be calculated by the power calculation module based on the sampled values ​​of current and voltage, as shown in the following formula (7):

[0041] in, This represents the average power within the sliding time window.

[0042] The data sampling frequency is dynamically adjusted according to the charging power: during high-power charging (e.g., exceeding 200kW), the sampling frequency is no less than 100Hz to ensure the capture of rapid fluctuations; during low-power charging, the sampling frequency can be reduced to 10Hz to save resources. Coolant temperature is collected in real-time by sensors in the cooling system. (PT100 temperature sensor can be used), coolant flow rate (Using an electromagnetic flowmeter) and coolant viscosity Coolant viscosity According to temperature The viscosity-temperature relationship is obtained by interpolation using a pre-stored viscosity-temperature table, which is based on experimental data for coolant types (such as aqueous ethylene glycol solutions). The structural parameters of the current charging gun's liquid-cooled cable, including the number of cable cores, can be read from non-volatile memory (such as EEPROM). Cross-sectional area of ​​core wire and liquid cooling channel dimensions These parameters are written to the charging gun at the factory or identified and loaded via RFID tags during connection to ensure consistency with the physical cable.

[0043] The acquired raw data is processed using Kalman filtering to suppress noise and outliers. For example, filtering the current signal yields a smooth current value. and fluctuation components The parameters are standardized to uniform units: current (A), voltage (V), temperature (°C), flow rate (m / s), viscosity (Pa·s), etc. The processed parameters are then integrated into a structured dataset based on time series, including the field: timestamp. Charging current Charging voltage Current fluctuation (Depend on and Derivation), coolant temperature Coolant flow rate Coolant viscosity and the body structure parameters , and .

[0044] The real-time parameter dataset is input into a pre-built dynamic control model of cable temperature, operating condition, and coolant flow rate. The response function of the dynamic control model is used to calculate the predicted temperature of the cable under the current operating condition. The target temperature is set to meet heat dissipation requirements (cable temperature does not exceed the safe temperature threshold). Based on this premise, calculate the minimum required coolant flow rate. In the dynamic model, by solving the equations get Due to the nonlinearity of the model, when the system approaches steady state (e.g., Using a simplified formula, as shown in equation (8):

[0045] Under transient conditions, the Newton-Raphson method is used for iterative solution: Let the function Iterative formula ;in, Approximation is achieved using the model's partial derivatives; the initial value for iteration is taken as the current flow velocity. The convergence threshold is set to The maximum number of iterations is 10 to ensure real-time performance; output This serves as the threshold for coolant flow rate to meet heat dissipation requirements under current operating conditions. Target temperature. and coolant flow rate threshold The data is transmitted to the control decision module via the data bus and recorded in the log for monitoring and diagnosis.

[0046] Step 4: Compare the target temperature with the preset safe temperature threshold. If the target temperature is higher than the safe temperature threshold, adjust the water pump speed and fan speed in the liquid cooling system according to the coolant flow rate threshold output by the dynamic control model. If the target temperature is lower than the safe temperature threshold, maintain the current coolant flow rate and fan speed.

[0047] In some embodiments, comparing the target temperature with a preset safe temperature threshold, and if the target temperature is higher than the safe temperature threshold, adjusting the water pump speed and fan speed in the liquid cooling system according to the coolant flow rate threshold output by the dynamic control model includes: Obtain the coolant flow rate threshold output by the dynamic control model, monitor the actual coolant flow rate in real time, and calculate the flow rate deviation between the actual coolant flow rate and the coolant flow rate threshold. Based on the flow velocity deviation, a proportional-integral control algorithm is used to generate a pump speed regulation signal; Based on the water pump speed adjustment signal, adjust the water pump speed so that the actual flow rate of the coolant approaches the coolant flow rate threshold. Based on the temperature difference between the actual temperature and the target temperature of the cable, a proportional control algorithm is used to adjust the fan speed.

[0048] Step 5: Monitor the actual temperature of the liquid-cooled cable and the actual flow rate of the coolant in real time, compare the difference between the actual temperature and the target temperature, and adjust the calculation coefficients of the dynamic control model based on the difference.

[0049] In some embodiments, the specific process of correcting the calculation coefficients of the dynamic control model based on the difference is as follows: Set a fixed time interval correction cycle, collect the difference sequence between the actual temperature and the target temperature of the liquid-cooled cable in each correction cycle, and simultaneously record the difference sequence between the actual flow rate of the coolant and the coolant flow rate threshold. Based on the difference sequence, the mean absolute error and root mean square error of the dynamic control model are calculated. When the mean absolute error or root mean square error exceeds the preset error threshold, the empirical coefficients in the dynamic control model are dynamically adjusted using the recursive least squares method to optimize the prediction accuracy and response characteristics of the dynamic control model.

[0050] Based on the same inventive concept, and corresponding to any of the above embodiments, refer to... Figure 2 This invention provides a temperature adaptive control system for a high-power charging gun liquid-cooled cable, used to implement the aforementioned temperature adaptive control method for the high-power charging gun liquid-cooled cable, comprising: The parameter acquisition module is used to collect the structural parameters, charging condition parameters, and coolant status parameters of the liquid-cooled cable of the high-power charging gun, and to build an initial parameter dataset and a real-time parameter dataset. The parameter acquisition module includes a cable design specification interface, charging system sensors, and cooling system sensors, which are used to acquire the structural parameters, charging condition parameters, and coolant status parameters, respectively. The dynamic control model construction module is used to construct a dynamic control model of cable temperature, operating conditions, and coolant flow rate based on the initial parameter dataset and the heat conduction mechanism of liquid-cooled cables. The dynamic control model construction module includes a heat conduction equation calculation unit and a coupled calculation unit, which are used to establish the heat conduction differential equation and solve the response function of cable temperature as coolant flow rate changes. The real-time calculation module is used to input the real-time parameter dataset into the dynamic control model to calculate the target temperature of the liquid-cooled cable and the coolant flow rate threshold that meets the heat dissipation requirements under the current operating conditions. The control execution module compares the target temperature with a preset safe temperature threshold. If the target temperature is higher than the safe temperature threshold, it adjusts the water pump speed and fan speed in the liquid cooling system according to the coolant flow rate threshold output by the dynamic control model. If the target temperature is lower than the safe temperature threshold, it maintains the current coolant flow rate and fan speed. The control execution module includes a proportional-integral control algorithm unit, which generates a water pump speed adjustment signal based on the flow rate deviation and adjusts the fan speed based on the temperature difference. The feedback correction module is used to monitor the actual temperature of the liquid-cooled cable and the actual flow rate of the coolant in real time, compare the difference between the actual temperature and the target temperature, and correct the calculation coefficients of the dynamic control model based on the difference. The feedback correction module includes an error calculation unit and a recursive least squares correction unit, which are used to adjust the empirical coefficients of the model within a preset correction period.

[0051] Based on the same inventive concept, corresponding to any of the above embodiments, the present invention provides an electronic device, including a memory and a processor. The memory is used to store a computer program, and the processor runs the computer program to enable the electronic device to perform the temperature adaptive control method for the liquid-cooled cable of the high-power charging gun of the embodiment.

[0052] Alternatively, the aforementioned electronic device may be a server.

[0053] In addition, this embodiment also provides a computer-readable storage medium storing a computer program thereon, which, when executed by a processor, implements the temperature adaptive control method for the high-power charging gun liquid-cooled cable of the embodiment.

[0054] It is understood that the processor in the embodiments of the present invention may be a Central Processing Unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, transistor logic devices, hardware components, or any combination thereof. The general-purpose processor may be a microprocessor or any conventional processor.

[0055] The method steps in the embodiments of the present invention can be implemented in hardware or by a processor executing software instructions. The software instructions can consist of corresponding software modules, which can be stored in random access memory (RAM), flash memory, read-only memory (ROM), programmable read-only memory (PROM), erasable programmable read-only memory (EPROM), electrically erasable programmable read-only memory (EEPROM), registers, hard disks, portable hard disks, CD-ROMs, or any other form of storage medium known in the art. An exemplary storage medium is coupled to the processor, enabling the processor to read information from and write information to the storage medium. Of course, the storage medium can also be a component of the processor. The processor and the storage medium can reside in an ASIC.

[0056] In the above embodiments, implementation can be achieved, in whole or in part, through software, hardware, firmware, or any combination thereof. When implemented in software, it can be implemented, in whole or in part, as a computer program product. A computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, all or part of the flow or function according to the embodiments of the present invention is generated. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a storage medium or transmitted through a storage medium. The computer instructions can be transmitted from one website, computer, server, or data center to another website, computer, server, or data center via wired (e.g., coaxial cable, fiber optic, digital subscriber line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) means. The storage medium can be any available medium that a computer can access or a data storage device such as a server or data center that integrates one or more available media. The available medium can be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., solid-state drive (SSD)).

Claims

1. A temperature adaptive control method for a high-power charging gun liquid-cooled cable, characterized in that, Includes the following steps: Collect the structural parameters, charging condition parameters, and coolant state parameters of the liquid-cooled cable of the high-power charging gun to construct an initial parameter dataset; Based on the parameter dataset, the heat conduction mechanism of liquid-cooled cables is integrated to construct a dynamic control model of cable temperature, operating conditions, and coolant flow rate. The cable temperature and coolant flow rate are dynamically correlated through the coupling calculation of heat conduction equation and operating condition parameters. The system collects the structural parameters, charging conditions, and coolant status parameters of the high-power charging gun liquid-cooled cable in real time, constructs a real-time parameter dataset, and inputs the real-time parameter dataset into the dynamic control model to calculate the target temperature of the liquid-cooled cable. At the same time, it outputs the coolant flow rate threshold that meets the heat dissipation requirements under the current operating conditions. The target temperature is compared with the preset safe temperature threshold. If the target temperature is higher than the safe temperature threshold, the water pump speed and fan speed in the liquid cooling system are adjusted according to the coolant flow rate threshold output by the dynamic control model. If the target temperature is lower than the safe temperature threshold, the current coolant flow rate and fan speed are maintained. The actual temperature of the liquid-cooled cable and the actual flow rate of the coolant are monitored in real time. The difference between the actual temperature and the target temperature is compared, and the calculation coefficients of the dynamic control model are adjusted according to the difference.

2. The temperature adaptive control method for the liquid-cooled cable of a high-power charging gun as described in claim 1, characterized in that, The specific process for collecting the structural parameters, charging condition parameters, and coolant state parameters of the high-power charging gun liquid-cooled cable to construct the initial parameter dataset is as follows: The body structure parameters are obtained through cable design specifications; wherein, the body structure parameters include the number of cable cores, the cross-sectional area of ​​the core wires, and the dimensions of the liquid cooling channel; The charging operating parameters are collected by sensors in the charging system; wherein, the charging operating parameters include charging current, charging voltage and instantaneous power fluctuation value; The coolant state parameters are collected by sensors in the cooling system; wherein, the coolant state parameters include coolant temperature, flow rate and viscosity. The body structure parameters, charging condition parameters, and coolant state parameters are integrated and standardized to form an initial parameter dataset.

3. The temperature adaptive control method for the liquid-cooled cable of a high-power charging gun as described in claim 1, characterized in that, The specific process for constructing the dynamic control model of cable temperature-operating condition-coolant flow rate is as follows: Based on the initial parameter dataset, a heat conduction differential equation for the liquid-cooled cable is established; wherein, the heat conduction differential equation integrates the cable body structural parameters, charging condition parameters and coolant state parameters, and introduces the balance relationship between the heating power of the cable core and the heat absorption power of the coolant. The heat conduction differential equation is dynamically correlated with the charging condition parameters through coupled calculations to solve the response function of cable temperature as the coolant flow rate changes. Based on the response function, a dynamic control model of cable temperature-operating condition-coolant flow rate is constructed. The dynamic control model outputs the coolant flow rate threshold and target temperature that meet the heat dissipation requirements under different charging conditions.

4. The temperature adaptive control method for the liquid-cooled cable of a high-power charging gun as described in claim 3, characterized in that, The specific process of establishing the heat conduction differential equation for the liquid-cooled cable based on the initial parameter dataset is as follows: Based on the number of cable cores and the cross-sectional area of ​​the core wires in the main body structure parameters, the resistance value and heat capacity value per unit length of the cable core wire are calculated; wherein, the resistance value per unit length is determined by the ratio of the resistivity of the core wire material to the cross-sectional area of ​​the core wire, and the heat capacity value is determined by the product of the specific heat capacity of the core wire material and the mass of the core wire. Based on the charging current in the charging condition parameters and the resistance value per unit length, the heat generation power per unit length of the cable core is calculated; wherein, the heat generation power per unit length is determined by multiplying the square of the charging current by the resistance value per unit length. Based on the coolant flow rate and viscosity in the coolant state parameters, and combined with the liquid cooling channel size in the body structure parameters, the heat transfer coefficient between the coolant and the wire core is calculated; wherein, the heat transfer coefficient is determined by the correlation function of coolant flow rate, viscosity and liquid cooling channel size, and the correlation function is derived based on the Nusselt number relationship in fluid mechanics. Based on the heat transfer coefficient and the coolant temperature in the coolant state parameters, the heat absorption power per unit length of the cable by the coolant is calculated; wherein, the heat absorption power per unit length is determined by the product of the heat transfer coefficient, the heat transfer area, and the difference between the cable temperature and the coolant temperature. Based on the principle of thermal balance, the heat generation power per unit length and the heat absorption power per unit length are dynamically balanced and coupled to establish a differential equation for the heat conduction of the cable temperature over time; the differential equation for the heat conduction is shown in equation (1) below: in, This indicates the heat capacity per unit length of the cable; Indicates cable temperature; Indicates actual time; Indicates the charging current; This indicates the resistance value per unit length of the cable; Indicates the heat transfer coefficient; Represents the heat transfer area per unit length; The heat transfer coefficient represents the coolant temperature. With coolant flow rate The relationship is established through the following formula (2): in, and This is an empirical coefficient determined based on the coolant viscosity and the size of the liquid cooling channel.

5. The temperature adaptive control method for the liquid-cooled cable of a high-power charging gun as described in claim 4, characterized in that, The specific process of dynamically relating the heat conduction differential equation with charging operating parameters through coupled calculation to solve the response function of cable temperature as a function of coolant flow rate is as follows: Substituting equation (2) into equation (1), we obtain the modified heat conduction differential equation containing the coolant flow rate variable, as shown in equation (3) below: Based on the instantaneous power fluctuation value in the charging condition parameters, combined with the charging voltage, the dynamic change relationship of the charging current is derived, and the charging current is expressed as a dynamic current function that varies with time. As shown in equation (4): in, Indicates the reference charging current; This represents the amount of current fluctuation caused by instantaneous power fluctuations; Substituting the dynamic current function (4) into the modified heat conduction differential equation (3), the dynamic coupling of the heat conduction mechanism and the charging condition parameters is realized, and the coupling equation is obtained as shown in equation (5) below: Set the initial conditions as At that time, cable temperature Solving the coupled equation (5), the dynamic response function of the cable temperature with respect to the coolant flow rate, time, and charging conditions is obtained by using the separation of variables method or the integral factor method, as shown in equation (6) below: in, It represents the dynamic value of cable temperature changing with time and coolant flow rate; it represents the time variable in the integration process, used to calculate the cumulative effect from the initial moment to the current moment; Represents the natural constant; Initial temperature of the cable; Based on the dynamic response function, the variation law of cable temperature with time under different coolant flow rates is analyzed, and the mapping relationship between cable temperature and coolant flow rate is extracted as the response function of cable temperature with coolant flow rate.

6. The temperature adaptive control method for the liquid-cooled cable of a high-power charging gun as described in claim 1, characterized in that, The step of comparing the target temperature with a preset safe temperature threshold, and adjusting the water pump speed and fan speed in the liquid cooling system according to the coolant flow rate threshold output by the dynamic control model if the target temperature is higher than the safe temperature threshold, includes: Obtain the coolant flow rate threshold output by the dynamic control model, monitor the actual coolant flow rate in real time, and calculate the flow rate deviation between the actual coolant flow rate and the coolant flow rate threshold. Based on the flow velocity deviation, a proportional-integral control algorithm is used to generate a pump speed adjustment signal; According to the water pump speed adjustment signal, the water pump speed is adjusted so that the actual flow rate of the coolant approaches the coolant flow rate threshold. Based on the temperature difference between the actual temperature and the target temperature of the cable, a proportional control algorithm is used to adjust the fan speed.

7. The temperature adaptive control method for the liquid-cooled cable of a high-power charging gun as described in claim 1, characterized in that, The specific process for calculating the coefficients of the dynamic control model based on the difference is as follows: Set a fixed time interval correction cycle, collect the difference sequence between the actual temperature and the target temperature of the liquid-cooled cable in each correction cycle, and simultaneously record the difference sequence between the actual flow rate of the coolant and the coolant flow rate threshold. Based on the difference sequence, the mean absolute error and root mean square error of the dynamic control model are calculated; When the mean absolute error or root mean square error exceeds a preset error threshold, the empirical coefficients in the dynamic control model are dynamically adjusted using the recursive least squares method to optimize the prediction accuracy and response characteristics of the dynamic control model.

8. A temperature adaptive control system for a high-power charging gun liquid-cooled cable, used to implement the temperature adaptive control method for the high-power charging gun liquid-cooled cable according to any one of claims 1-7, characterized in that, include: The parameter acquisition module is used to collect the structural parameters, charging condition parameters, and coolant status parameters of the liquid-cooled cable of the high-power charging gun, and to construct an initial parameter dataset and a real-time parameter dataset. The parameter acquisition module includes a cable design specification interface, a charging system sensor, and a cooling system sensor, which are used to acquire the structural parameters, charging condition parameters, and coolant status parameters, respectively. The dynamic control model construction module is used to construct a dynamic control model of cable temperature-operating condition-coolant flow rate based on the initial parameter dataset and the heat conduction mechanism of the liquid-cooled cable. The dynamic control model construction module includes a heat conduction equation calculation unit and a coupled calculation unit, which are used to establish the heat conduction differential equation and solve the response function of cable temperature as the coolant flow rate changes. The real-time calculation module is used to input the real-time parameter dataset into the dynamic control model to calculate the target temperature of the liquid-cooled cable and the coolant flow rate threshold that meets the heat dissipation requirements under the current operating conditions. The control execution module is used to compare the target temperature with a preset safe temperature threshold. If the target temperature is higher than the safe temperature threshold, the pump speed and fan speed in the liquid cooling system are adjusted according to the coolant flow rate threshold output by the dynamic control model. If the target temperature is lower than the safe temperature threshold, the current coolant flow rate and fan speed are maintained. The control execution module includes a proportional-integral control algorithm unit, which is used to generate a pump speed adjustment signal based on the flow rate deviation and adjust the fan speed based on the temperature difference. The feedback correction module is used to monitor the actual temperature of the liquid-cooled cable and the actual flow rate of the coolant in real time, compare the difference between the actual temperature and the target temperature, and correct the calculation coefficients of the dynamic control model based on the difference. The feedback correction module includes an error calculation unit and a recursive least squares correction unit, which are used to adjust the empirical coefficients of the model within a preset correction period.

9. An electronic device, characterized in that, The device includes a memory and a processor, the memory being used to store a computer program, and the processor running the computer program to cause the electronic device to perform the temperature adaptive control method for the high-power charging gun liquid-cooled cable according to any one of claims 1-7.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the temperature adaptive control method for the liquid-cooled cable of the high-power charging gun as described in any one of claims 1-7.

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