Liquid cooling over-charging control method and device, electronic equipment and storage medium

Abstract

The invention provides a liquid-cooling over-charging control method and device, electronic equipment and a storage medium, and belongs to the field of electric vehicle charging, the method comprises the steps that first target parameters of a liquid-cooling charging pile are acquired, and the first target parameters comprise working parameters of the liquid-cooling charging pile and power grid parameters of a power grid where the liquid-cooling charging pile is located; the first target parameter is compensated based on the environment temperature of the environment where the liquid cooling charging pile is located, and a second target parameter is obtained; and the liquid cooling charging pile is controlled to be in different working modes according to different conditions met by the second target parameter, and when the liquid cooling charging pile is in the different working modes, the liquid cooling parameters of the liquid cooling charging pile are different. According to the liquid cooling over-charging control method and device, the electronic equipment and the storage medium provided by the invention, the high-power charging efficiency and safety of the electric vehicle can be remarkably improved.

Description

Technical Field

[0001] This application belongs to the technical field of electric vehicle charging, and more specifically, relates to a liquid-cooled ultra-fast charging control method and device, an electronic device, and a storage medium. Background Art

[0002] With the rapid popularization of electric vehicles, the efficiency and safety of charging technology have become the core challenges in the industry. Traditional air-cooled charging piles are limited by the heat dissipation efficiency and are difficult to meet the heat dissipation requirements of high-power charging, resulting in a decrease in charging speed, a shortening of equipment life, and even a risk of thermal runaway. Liquid-cooling technology, with its advantages such as high heat conductivity and low noise, has become a key solution for ultra-fast charging systems. However, existing liquid-cooling solutions still have problems such as uneven cooling and lag in dynamic response, which affect charging efficiency and battery health. Therefore, there is an urgent need for an intelligent liquid-cooled ultra-fast charging control method and device to achieve precise temperature control and charging optimization at high power. Summary of the Invention

[0003] The purpose of this application is to provide a liquid-cooled ultra-fast charging control method and device, an electronic device, and a storage medium.

[0004] In the first aspect of the embodiments of this application, a liquid-cooled ultra-fast charging control method is provided, including: Obtaining first target parameters of the liquid-cooled charging pile, where the first target parameters include the working parameters of the liquid-cooled charging pile and the grid parameters of the power grid where the liquid-cooled charging pile is located; Compensating the first target parameters based on the ambient temperature of the environment where the liquid-cooled charging pile is located to obtain second target parameters; Controlling the liquid-cooled charging pile to be in different working modes according to different conditions satisfied by the second target parameters, where the liquid-cooling parameters of the liquid-cooled charging pile are different when the liquid-cooled charging pile is in different working modes.

[0005] In the second aspect of the embodiments of this application, a liquid-cooled ultra-fast charging control device is provided, including: A data acquisition module, configured to obtain first target parameters of the liquid-cooled charging pile, where the first target parameters include the working parameters of the liquid-cooled charging pile and the grid parameters of the power grid where the liquid-cooled charging pile is located; A data expansion module, configured to compensate the first target parameters based on the ambient temperature of the environment where the liquid-cooled charging pile is located to obtain second target parameters; A power adjustment module, configured to control the liquid-cooled charging pile to be in different working modes according to different conditions satisfied by the second target parameters, where the liquid-cooling parameters of the liquid-cooled charging pile are different when the liquid-cooled charging pile is in different working modes.

[0006] In a third aspect of the embodiments of the present application, an electronic device is provided, including a memory, a processor, and a computer program stored in the memory and running on the processor. When the processor executes the computer program, the steps of the liquid-cooled ultra-fast charging control method described above are implemented.

[0007] In a fourth aspect of the embodiments of the present application, a computer-readable storage medium is provided. The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the liquid-cooled ultra-fast charging control method described above are implemented.

[0008] In a fifth aspect of the embodiments of the present application, a computer program product is provided, including a computer program or computer-executable instructions. When the computer program or computer-executable instructions are executed by a processor, the steps of the liquid-cooled ultra-fast charging control method described above are implemented.

[0009] The beneficial effects of the liquid-cooled ultra-fast charging control method, device, electronic device, and storage medium provided by the embodiments of the present application are as follows: Through technologies such as intelligent multi-mode control, predictive regulation, and neural network optimization, the present application can reduce the impact on the charging system and electric vehicles caused by uneven heat dissipation and response lag of liquid-cooled charging piles in high-power charging scenarios, and achieve a coordinated leap in charging efficiency, safety, and device reliability. BRIEF DESCRIPTION OF THE DRAWINGS

[0010] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the following will briefly introduce the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings in the following description are only some embodiments of the present application. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0011] Figure 1 It is a schematic flow chart of the liquid-cooled ultra-fast charging control method provided by an embodiment of the present application; Figure 2 It is a structural block diagram of the liquid-cooled ultra-fast charging control device provided by an embodiment of the present application; Figure 3 It is a schematic block diagram of the electronic device provided by an embodiment of the present application. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0012] In the following description, specific details such as specific system structures and technologies are presented for the purpose of illustration rather than limitation, so as to thoroughly understand the embodiments of the present application. However, those skilled in the art should clearly understand that the present application can also be implemented in other embodiments without these specific details. In other cases, detailed descriptions of well-known systems, devices, circuits, and methods are omitted to avoid unnecessary details from interfering with the description of the present application.

[0013] To make the objectives, technical solutions, and advantages of this application clearer, the following will be described through specific embodiments in conjunction with the accompanying drawings.

[0014] Please refer to Figure 1 , Figure 1 , which is a schematic flow diagram of a liquid-cooled ultra-fast charging control method provided by an embodiment of this application. The method may include: S101: Obtain first target parameters of the liquid-cooled charging pile. The first target parameters include the operating parameters of the liquid-cooled charging pile and the grid parameters of the power grid where the liquid-cooled charging pile is located.

[0015] In this embodiment, the first target parameters may be the flow rate of the coolant of the current liquid-cooled charging pile, the charging power mutation value, the voltage fluctuation value, the external temperature value, etc. The liquid-cooled charging pile can use high-frequency sampling Hall current / voltage sensors to collect current or voltage signals during the charging process in real time, and calculate the power change rate through a differential algorithm, so as to realize the dynamic monitoring and regulation of the charging power.

[0016] For example, if the charging power jumps from 200 kW to 400 kW within 0.1 second, the mutation value is 200 kW / s.

[0017] In this embodiment, voltage fluctuation monitoring can use a broadband voltage sampling module to capture the instantaneous voltage fluctuations of the power grid and analyze the harmonic components in combination with FFT. The voltage sampling module can be, for example, AD7606. This module is a high-performance, multi-channel, synchronous sampling ADC, designed specifically for high-precision data acquisition scenarios such as power monitoring. In the liquid-cooled ultra-fast charging control system, high-precision monitoring of voltage fluctuations can ensure the stability and safety of the charging process.

[0018] In this embodiment, for temperature detection, multi-point temperature sensors can be deployed at the heat dissipation air outlet of the liquid-cooled charging pile and outside the wave-cooled pipeline, and the average value is taken as the external temperature value.

[0019] S102: Compensate the first target parameters based on the ambient temperature of the environment where the liquid-cooled charging pile is located to obtain second target parameters.

[0020] In this embodiment, when the liquid-cooled charging pile may operate in extreme ambient temperatures such as -30°C low temperature or 50°C high temperature, the heat dissipation efficiency will change significantly. For example, in a high-temperature environment, the heat dissipation capacity of the coolant decreases, and the flow rate needs to be increased to avoid overheating. In a low-temperature environment, the viscosity of the coolant increases, and the flow rate needs to be reduced or the pipeline needs to be preheated. This application uses dynamic temperature compensation to optimize the performance of the liquid-cooled charging pile.

[0021] Specifically, the second target parameter generated after ambient temperature compensation is not simply adding new parameters, but dynamically modifying and expanding the first target parameter to make it more in line with the actual working condition requirements. For example, the first target parameter is input into a long short-term memory neural network to compensate the first target parameter and add derivative parameters, such as allowable maximum power, coolant flow rate, and voltage fluctuation threshold.

[0022] S103: Control the liquid-cooled charging pile to be in different working modes according to different conditions satisfied by the second target parameter. Among them, when the liquid-cooled charging pile is in different working modes, the liquid-cooling parameters of the liquid-cooled charging pile are different.

[0023] In this embodiment, the liquid-cooled charging pile has three working modes. The first working mode is the normal following mode, and the liquid-cooled supercharger can control the liquid-cooling flow rate and velocity according to the first quantity of influencing factors affecting the liquid-cooling effect. The second working mode is the transition mode, and the liquid-cooled supercharger works at a fixed flow rate and velocity at this stage. The third working mode is the super following mode, and the liquid-cooled supercharger can control the liquid-cooling flow rate and velocity according to the second quantity of influencing factors affecting the liquid-cooling effect, and perform lead compensation, which can anticipate and compensate some to reduce the adjustment amount in the next cycle and achieve pre-adjustment. Among them, the first quantity is less than the second quantity.

[0024] When switching from the first working mode to the second working mode, the flow rate and velocity in the second working mode are the flow rate and velocity in the first working mode before switching. When switching from the third working mode to the second working mode, the flow rate and velocity in the second working mode are the flow rate and velocity in the second working mode before switching.

[0025] It can be concluded from the above that the intelligent control system of the liquid-cooled charging pile proposed in this application realizes the efficient and stable operation of the charging process through a multi-parameter collaborative monitoring and dynamic compensation mechanism. While ensuring charging safety, it significantly improves the operation efficiency and stability of the liquid-cooled charging pile under different working conditions.

[0026] Blank line In an embodiment of the present application, controlling the liquid-cooled charging pile to be in different working modes according to different conditions satisfied by the second target parameter includes: If the second target parameter meets the conditions of the first working mode, adjust the flow rate of the coolant of the liquid-cooled charging pile based on the first quantity of influencing factors; If the second target parameter meets the conditions of the second working mode, lock the flow rate of the liquid-cooled charging pile at a fixed value; If the second target parameter meets the conditions of the third working mode, adjust the coolant flow rate of the liquid-cooled charging pile based on the second quantity of influencing factors; Among them, the first quantity is less than the second quantity.

[0027] In this embodiment, the influencing factors of the first quantity may be the implementation power , the temperature of the coolant and the ambient temperature . Among them, the flow rate of the coolant of the liquid-cooled charging pile is linearly and positively correlated with the power as follows: . Among them, .

[0028] Specifically, the determination of the coefficient can be based on the heat balance equation of the liquid-cooled system, that is, the coolant needs to take away the heat generated during the charging process, and its relationship can be expressed as: . Among them, is the flow rate of the coolant, is the power loss of the charging pile, usually 2% - 5% of the charging power, is the density of the coolant, is the specific heat capacity of the coolant, is the allowable temperature rise of the coolant. In this application, the coolant uses an ethylene glycol aqueous solution, and the power loss of the charging pile and the specific heat capacity of the coolant are both empirical data.

[0029] In this embodiment, the second working mode is the transition mode, which fixes the coolant flow rate. The coolant flow rate in the second working mode is the flow rate and flow velocity before switching the working mode, which can avoid the impact of sudden flow changes caused by mode switching on the equipment operation state or heat dissipation effect, ensure the smooth transition of the system from one working mode to another working mode, and reduce the possible temperature fluctuations or fluid dynamic disturbances during the switching process, thereby improving the reliability and safety of the liquid-cooled charging pile during the mode switching stage.

[0030] In this embodiment, the third working mode is the super following mode, which adjusts the coolant flow rate of the liquid-cooled charging pile through the influencing factors of the second quantity. The influencing factors of the second quantity may be the power mutation rate , grid harmonics , heat load prediction , ambient temperature change rate and battery temperature .

[0031] Specifically, for the power mutation rate , its physical meaning is that when the power mutates, the heat load will instantaneously increase, and the flow rate needs to be quickly increased to match the heat dissipation demand. The additional flow rate required for can be determined through experiments on the test platform. For example, a step change can be simulated on a 200kW charging pile platform, and the temperature rise rate and the required coolant flow rate are recorded. It is experimentally obtained that an additional 0.3L / min flow rate is required for every 1kW / s power mutation to maintain the allowable temperature rise of the coolant < 10 degrees Celsius.

[0032] In this embodiment, grid harmonics can cause additional heating, such as an increase in IGBT switching losses, and the heat dissipation capacity needs to be improved. According to the existing data, it can be obtained that for every 1% increase, the system loss rises by about 1.5%. Therefore, it is necessary to adjust the flow rate of the coolant accordingly.

[0033] In this embodiment, the heat load prediction can predict the future heat load based on historical data, so as to adjust the coolant flow rate in advance.

[0034] Specifically, LSTM can be used to predict the heat load Based on the historical data of the previous 10 minutes, the sampling interval is set to 10 seconds, and 60 consecutive data samples are collected. For example, samples are taken for the charging power mutation rate, the inlet and outlet temperatures of the coolant, the ambient temperature sequence, the grid voltage volatility, etc., and the sampled data is input into the LSTM, and the output result is the heat load of the liquid-cooled charging pile in the next minute .

[0035] In this embodiment, the ambient temperature change rate and the battery temperature The impacts on the liquid-cooled charging pile are all obtained through experiments. For example, for every increase in the ambient temperature, the heat dissipation efficiency decreases by about 0.4% / min. Therefore, for every temperature rise, the flow rate needs to be increased by 0.5 L / min. For the battery temperature, when the battery temperature is greater than , the life attenuation accelerates, and the measured result is that increasing the coolant flow rate by 5 L / min can increase the battery cooling rate by .

[0036] As can be seen from the above, the present application realizes the optimal balance between the cooling efficiency and the system stability through an intelligent parameter adjustment mechanism. The system dynamically switches among three working modes based on the second target parameter, significantly improving the response speed and temperature control accuracy of the liquid-cooled system under dynamic loads.

[0037] In an embodiment of the present application, the first working mode includes: Adjust the coolant flow rate of the liquid-cooled charging pile based on the matching relationship between the actual power and the optimal temperature of the coolant of the liquid-cooled charging pile; Adjust the coolant water pump power of the liquid-cooled charging pile based on PID.

[0038] In this embodiment, the first working mode is the normal following mode, which is the basic control strategy of the liquid-cooled ultra-fast charging system and is applicable to steady-state or slightly fluctuating working conditions. Its core is to achieve dynamic regulation of the liquid-cooled flow rate through power-temperature matching control and PID control.

[0039] Specifically, first, a power-temperature matching relationship can be constructed. According to the mapping relationship between the actual charging power and the optimal temperature of the coolant, the theoretical flow rate demand can be calculated, so the coolant flow rate can be quickly adjusted. Second, PID fine-tuning control can be used to ensure the coolant temperature is stable within the target range by feedback-adjusting the pump power. For example, Table 1 is a preset power-temperature matching table constructed based on experimental data.

[0040] Table 1 Preset Matching Table

[0041] In this embodiment, the parameter input to the PID adjustment controller can be the deviation between the real-time temperature and the target temperature of the coolant , and the output is the adjustment amount of the coolant pump of the liquid-cooled charging pile . Specifically, PID is implemented through the formula .

[0042] Among them, the proportional term can quickly respond to the temperature deviation; the integral term can eliminate the steady-state error; can suppress overshoot; is the current moment; is the sampling time; all the above data are obtained from experiments.

[0043] As can be seen from the above, the ordinary following mode control system of the liquid-cooled charging pile proposed in this application realizes efficient temperature control under steady-state working conditions through the dual mechanisms of power-temperature matching and PID adjustment. The theoretical flow rate demand is quickly determined through the mapping relationship between the charging power and the optimal temperature of the coolant, and a PID controller is used for precise fine-tuning. This combined control strategy not only ensures the fast flow rate adjustment ability when the power changes, but also ensures the precise real-time control of the coolant temperature through the closed-loop feedback mechanism of PID, enabling the system to maintain the optimal working temperature under steady-state or slightly fluctuating working conditions, providing a basic and reliable thermal management solution for the liquid-cooled charging pile.

[0044] In an embodiment of the present application, when the liquid-cooled charging pile switches from the first working mode to the second working mode, the flow rate in the second working mode is the same as that in the first working mode.

[0045] In this embodiment, when the liquid-cooled charging pile receives a signal for mode switching, it enters the transition mode from the normal following mode. At this time, the flow rate of the coolant is fixed in the normal mode. The above operations can avoid thermal shock, mechanical stress, and control oscillation caused by sudden changes in flow rate, thereby protecting the safe operation of the liquid-cooled charging pile and increasing its service life.

[0046] Specifically, sudden changes in the coolant flow rate may cause local overheating or overcooling. On the one hand, when the flow rate suddenly decreases, the residence time of the coolant in the heating components (such as power modules) is prolonged, resulting in heat accumulation. For example, if the flow rate suddenly drops from 30 L / min to 15 L / min, the heat dissipation capacity instantaneously decreases by 50%, and the junction temperature of the insulated gate bipolar transistor may soar by more than 20°C, easily causing damage. On the other hand, when the flow rate suddenly increases, the low-temperature coolant flows through the high-temperature area concentratedly in a short time, triggering material thermal stress. For example, microcracks are generated in the copper busbar due to a temperature gradient > 10°C / mm.

[0047] Regarding mechanical stress, when the flow rate changes suddenly, a water hammer effect is likely to occur in the pipeline. Its fluid inertia causes the pipeline pressure fluctuation to reach 3 times the rated pressure. The sudden change in the pump speed can trigger axial movement, shortening the service life of the mechanical seal and causing bearing wear.

[0048] Regarding control oscillation, when the flow rate set value changes suddenly, it is easy to cause severe oscillation of the PID controller, and its overshoot can reach 30%.

[0049] As can be seen from the above, the mode switching control mechanism proposed in this application effectively solves the system stability problem during the mode switching process of the liquid-cooled charging pile through the flow rate holding strategy. When the system switches from the normal following mode to the transition mode, the coolant flow rate remains unchanged at the value before the switch. This design has threefold protection: in terms of thermal management, it avoids local overheating caused by sudden changes in flow rate; in terms of mechanical protection, it prevents the water hammer effect and wear of mechanical components; in terms of control stability, it eliminates the oscillation risk of the PID regulator. This transition mode enables the system to smoothly transition while maintaining the original heat dissipation capacity by freezing the flow rate parameter, ensuring the safe operation of key components and creating a stable thermodynamic environment for subsequent mode switching, significantly improving the reliability and service life of the liquid-cooled charging pile.

[0050] In an embodiment of this application, the third working mode includes: Predicting the change in the thermal load of the liquid-cooled charging pile in the next cycle based on historical data to obtain the first prediction data; Predicting the change in the power of the liquid-cooled charging pile in the next cycle based on historical data to obtain the second prediction data; Constructing a dynamic weight adjustment strategy based on the first prediction data and the second prediction data to compensate for the key parameters in the second target parameter.

[0051] In this embodiment, the third working mode is an advanced control strategy for liquid-cooled charging piles to cope with extreme dynamic conditions such as sudden power changes and abrupt environmental changes. The core innovation lies in the dual prediction mechanism and dynamic weight compensation. For the dual prediction mechanism, it can simultaneously predict the heat load and power changes , covering the electrical-thermal coupling. For dynamic weight compensation, it adjusts the parameter weights in real time according to the prediction confidence to avoid control failure caused by a single prediction deviation.

[0052] Specifically, LSTM can be used to predict the heat load . Based on the historical data of the previous 10 minutes, the sampling interval is set to 10 seconds, and 60 consecutive data samples are collected. First, the data of the past 10 minutes are extracted in a rolling manner, including sampling the charging power mutation rate, the coolant inlet and outlet temperatures, the ambient temperature sequence, and the grid voltage volatility, etc. Secondly, in the data preprocessing stage, data augmentation can be carried out by adding Gaussian noise. For example, for each sample in the original data, a noise value is randomly generated according to a Gaussian distribution with a mean of 0 and a standard deviation of σ = 1%, and it is superimposed on the feature dimension of the original data to form an enhanced sample with noise. This method simulates the noise interferences such as sensor measurement errors and signal transmission interferences that may exist in the real scenario, forcing the model to learn the essential features of the data rather than the surface details, thereby enhancing the generalization ability of the model in the presence of the environment, reducing the risk of overfitting, and enabling the trained model to have stronger adaptability to non-ideal data in practical applications. Finally, the processed data is input into the LSTM prediction model to obtain the prediction data.

[0053] In this embodiment, the core of dynamic weight compensation lies in dynamically adjusting the influence weights of different parameters on the final control instruction according to the real-time confidence of the prediction data.

[0054] Specifically, its technical logic can be divided into three steps: confidence evaluation, weight allocation, and compensation execution. For example, confidence evaluation can quantify the reliability of each prediction parameter; weight allocation can allocate parameter weights according to the confidence ratio; compensation execution can perform enhanced compensation on high-weight parameters.

[0055] As can be seen from the above, the third working mode proposed in this application improves the control accuracy of liquid-cooled charging piles under extreme dynamic conditions through the innovative dual prediction mechanism and dynamic compensation strategy. The system uses an LSTM neural network to construct a dual prediction engine, which not only ensures the coordinated control of the electrical-thermal coupling system but also effectively reduces the risk of a single prediction deviation through noise injection and confidence evaluation. The system can still maintain a temperature control accuracy of ±1°C under extreme conditions such as sudden power changes and abrupt environmental changes, and the response speed has been greatly improved compared with traditional methods.

[0056] In an embodiment of the present application, the first target parameter is compensated based on the ambient temperature of the liquid-cooled charging pile to obtain a second target parameter, including: Input the ambient temperature of the liquid-cooled charging pile and the first target parameter into the first neural network for data augmentation to obtain the second target parameter In this embodiment, the first neural network can adopt an LSTM neural network. The present application uses an LSTM neural network to achieve dynamic compensation of the ambient temperature for the charging parameters. The core lies in learning the temporal correlation between the ambient temperature and the charging parameters through historical temperature data, so as to generate a second target parameter that is more adaptable to the actual working conditions.

[0057] Specifically, first, the LSTM can capture the lag effect of ambient temperature changes, such as the cooling system after continuous high temperature, etc., so as to complete the temporal dependence modeling. Second, it can simultaneously process the complex relationships between temperature and parameters such as power, flow rate, and voltage threshold, avoiding the limitations of traditional linear formulas. Finally, the model is trained through historical data to adapt to the compensation requirements of different climate regions, such as high temperature and drought regions and high humidity coastal regions.

[0058] For example, temperature data can be sampled in a continuous time window. And the sampled data and the first target parameter value are subjected to data preprocessing, including: normalization processing and abnormal data filtering. An LSTM input vector is constructed based on the preprocessed data, and a compensation parameter is obtained. Finally, the compensation parameter is de-normalized to generate the second target parameter.

[0059] As can be seen from the above, the temperature compensation method proposed in the present application realizes the intelligent coupling of environmental parameters and charging system parameters through an LSTM neural network. This compensation method based on deep learning improves the accuracy of temperature adaptability control by 40% compared with traditional linear formulas. Especially in the case of extreme temperature sudden changes, such as the temperature change exceeding 10°C within 5 minutes, the system response speed is increased by more than 50%, reducing the influence of the non-linear coupling between ambient temperature and electrical parameters.

[0060] Corresponding to the liquid-cooled ultra-fast charging control method in the above embodiment, Figure 2 This is a structural block diagram of a liquid-cooled ultra-fast charging control device provided in an embodiment of the present application. For the convenience of description, only the parts related to the embodiments of the present application are shown. Refer to Figure 2 The liquid-cooled ultra-fast charging control device 20 includes: a data acquisition module 21, a data augmentation module 22, and a power adjustment module 23. Among them, the data acquisition module 21 is used to obtain the first target parameter of the liquid-cooled charging pile. The first target parameter includes the working parameter of the liquid-cooled charging pile and the grid parameter of the power grid where the liquid-cooled charging pile is located; The data augmentation module 22 is configured to compensate the first target parameter based on the ambient temperature of the environment where the liquid-cooled charging pile is located to obtain a second target parameter; The power adjustment module 23 is configured to control the liquid-cooled charging pile to be in different working modes according to different conditions satisfied by the second target parameter, wherein when the liquid-cooled charging pile is in different working modes, the liquid-cooling parameters of the liquid-cooled charging pile are different.

[0061] In an embodiment of the present application, the power adjustment module 23 is specifically configured to: if the second target parameter satisfies the conditions of the first working mode, adjust the flow rate of the coolant of the liquid-cooled charging pile based on a first quantity of influencing factors; if the second target parameter satisfies the conditions of the second working mode, lock the flow rate of the liquid-cooled charging pile at a fixed value; if the second target parameter satisfies the conditions of the third working mode, adjust the coolant flow rate of the liquid-cooled charging pile based on a second quantity of influencing factors; In an embodiment of the present application, the power adjustment module 23 is specifically configured to: adjust the coolant flow rate of the liquid-cooled charging pile based on the matching relationship between the actual power and the optimal temperature of the coolant of the liquid-cooled charging pile; Adjust the coolant pump power of the liquid-cooled charging pile based on PID.

[0062] In an embodiment of the present application, the power adjustment module 23 is specifically configured to: When the liquid-cooled charging pile switches from the first working mode to the second working mode, the flow rate in the second working mode is the flow rate in the first working mode.

[0063] In an embodiment of the present application, the power adjustment module 23 is specifically configured to: When the liquid-cooled charging pile switches from the third working mode to the second working mode, the flow rate in the second working mode is the flow rate in the third working mode.

[0064] In an embodiment of the present application, the power adjustment module 23 is specifically configured to: Predict the change in the heat load of the liquid-cooled charging pile in the next cycle based on historical data to obtain a first prediction data; Predict the power change of the liquid-cooled charging pile in the next cycle based on historical data to obtain a second prediction data; Construct a dynamic weight adjustment strategy based on the first prediction data and the second prediction data to compensate the key parameters in the second target parameter.

[0065] In an embodiment of the present application, the power adjustment module 23 is specifically configured to: Input the ambient temperature of the environment where the liquid-cooled charging pile is located and the first target parameter into a first neural network for data augmentation to obtain a second target parameter.

[0066] See Figure 3 , Figure 3 which is a schematic block diagram of an electronic device provided by an embodiment of the present application. As Figure 3 shown, the electronic device 300 in this embodiment may include: one or more processors 301, one or more input devices 302, one or more output devices 303, and one or more memories 304. The above-mentioned processors 301, input devices 302, output devices 303, and memories 304 communicate with each other through a communication bus 305. The memory 304 is used to store computer programs, and the computer programs include program instructions. The processor 301 is used to execute the program instructions stored in the memory 304. Among them, the processor 301 is configured to call the program instructions to execute the functions of each module / unit in the above-mentioned device embodiments, for example Figure 2 shown, the functions of the data acquisition module 21, the data expansion module 22, and the power adjustment module 23.

[0067] It should be understood that in the embodiments of the present application, the so-called processor 301 may be a central processing unit (CPU), and this processor may also be other general-purpose processors, digital signal processors (DSPs), application specific integrated circuits (ASICs), field programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor or this processor may also be any conventional processor, etc.

[0068] The input device 302 may include a touchpad, a fingerprint acquisition sensor (for acquiring the fingerprint information and the direction information of the fingerprint of the user), a microphone, etc., and the output device 303 may include a display (such as an LCD), a speaker, etc.

[0069] The memory 304 may include a read-only memory and a random access memory, and provide instructions and data to the processor 301. A part of the memory 304 may also include a non-volatile random access memory.

[0070] In specific implementation, the processors 301, input devices 302, and output devices 303 described in the embodiments of the present application may implement the implementation manners described in the liquid-cooled ultra-fast charging control method provided by the embodiments of the present application, or may implement the implementation manners of the electronic devices described in the embodiments of the present application, which will not be elaborated here.

[0071] In another embodiment of the present application, a computer-readable storage medium is provided. The computer-readable storage medium stores a computer program, and the computer program includes program instructions. When the program instructions are executed by a processor, all or part of the processes in the method of the above embodiment are implemented. It can also be completed by instructing relevant hardware through the computer program. The computer program can be stored in a computer-readable storage medium. When the computer program is executed by the processor, the steps of the above method embodiments can be implemented. Among them, the computer program includes computer program code, and the computer program code can be in the form of source code, object code, executable file or some intermediate form, etc. The computer-readable medium can include: any entity or device capable of carrying computer program code, recording medium, USB flash drive, mobile hard disk, magnetic disk, optical disk, computer memory, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), electrical carrier signal, telecommunication signal, and software distribution medium, etc.

[0072] The computer-readable storage medium can be an internal storage unit of the electronic device in any of the foregoing embodiments, such as the hard disk or memory of the electronic device. The computer-readable storage medium can also be an external storage device of the electronic device, such as a plug-in hard disk, smart media card (SMC), secure digital (SD) card, flash card, etc. equipped on the electronic device. Further, the computer-readable storage medium can also include both the internal storage unit and the external storage device of the electronic device. The computer-readable storage medium is used to store the computer program and other programs and data required by the electronic device. The computer-readable storage medium can also be used to temporarily store the data that has been output or will be output.

[0073] The embodiment of the present application provides a computer program product. The computer program product includes computer-executable instructions or a computer program. The computer-executable instructions or the computer program are stored in a computer-readable storage medium. The processor of the electronic device reads the computer-executable instructions from the computer-readable storage medium, and the processor executes the computer-executable instructions, so that the electronic device executes the liquid-cooled ultra-fast charging control method in the above embodiment of the present application.

[0074] Those of ordinary skill in the art can realize that the units and algorithm steps of each example described in combination with the embodiments disclosed herein can be implemented by electronic hardware, computer software, or a combination of both. To clearly illustrate the interchangeability of hardware and software, the composition and steps of each example have been generally described according to functions in the above description. Whether these functions are executed in a hardware or software manner depends on the specific application and design constraints of the technical solution. Professional technicians can use different methods to implement the described functions for each specific application, but such implementation should not be considered to exceed the scope of this application.

[0075] Those skilled in the art can clearly understand that for the convenience and conciseness of description, the specific working processes of the above-described electronic devices and units can refer to the corresponding processes in the foregoing method embodiments and will not be elaborated herein.

[0076] In several embodiments provided in this application, it should be understood that the disclosed electronic devices and methods can be implemented in other ways. For example, the device embodiments described above are merely illustrative. For example, the division of units is only a logical function division. In actual implementation, there may be other division methods. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the displayed or discussed couplings or direct couplings or communication connections to each other can be indirect couplings or communication connections through some interfaces or units, or can be electrical, mechanical, or other forms of connection.

[0077] The units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they can be located in one place or distributed to multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiments of this application.

[0078] In addition, the functional units in each embodiment of this application can be integrated into one processing unit, or each unit can exist physically alone, or two or more units can be integrated into one unit. The above integrated units can be implemented in the form of hardware or in the form of software functional units.

[0079] The above is only the specific implementation manner of this application, but the protection scope of this application is not limited thereto. Any person skilled in the art within the technical scope disclosed in this application can easily think of various equivalent modifications or substitutions, and these modifications or substitutions should all be covered within the protection scope of this application. Therefore, the protection scope of this application should be subject to the protection scope of the claims.

Claims

1. A liquid-cooled ultra-fast charging control method, characterized in that, Including: Obtaining first target parameters of a liquid-cooled charging pile, where the first target parameters include operating parameters of the liquid-cooled charging pile and grid parameters of the power grid where the liquid-cooled charging pile is located; Compensating the first target parameters based on the ambient temperature of the environment where the liquid-cooled charging pile is located to obtain second target parameters; Controlling the liquid-cooled charging pile to be in different operating modes according to different conditions satisfied by the second target parameters, where the liquid-cooling parameters of the liquid-cooled charging pile are different when the liquid-cooled charging pile is in different operating modes.

2. The liquid-cooled ultra-fast charging control method according to claim 1, characterized in that, The controlling the liquid-cooled charging pile to be in different operating modes according to different conditions satisfied by the second target parameters includes: If the second target parameters satisfy the conditions of the first operating mode, adjusting the flow rate of the coolant of the liquid-cooled charging pile based on a first quantity of influencing factors; If the second target parameters satisfy the conditions of the second operating mode, locking the flow rate of the liquid-cooled charging pile at a fixed value; If the second target parameters satisfy the conditions of the third operating mode, adjusting the coolant flow rate of the liquid-cooled charging pile based on a second quantity of influencing factors; Wherein, the first quantity is less than the second quantity.

3. The liquid-cooled ultra-fast charging control method according to claim 2, wherein The first operating mode includes: Adjusting the coolant flow rate of the liquid-cooled charging pile based on the matching relationship between the actual power and the optimal temperature of the coolant of the liquid-cooled charging pile; Adjusting the coolant pump power of the liquid-cooled charging pile based on PID regulation.

4. The liquid-cooled ultra-fast charging control method according to claim 2, wherein When the liquid-cooled charging pile switches from the first operating mode to the second operating mode, the flow rate in the second operating mode is the flow rate in the first operating mode.

5. The liquid-cooled ultra-fast charging control method according to claim 2, wherein When the liquid-cooled charging pile switches from the third operating mode to the second operating mode, the flow rate in the second operating mode is the flow rate in the third operating mode.

6. The liquid-cooled ultra-fast charging control method according to claim 2, wherein, The third operating mode includes: Predicting the change in the thermal load of the liquid-cooled charging pile in the next cycle based on historical data to obtain first prediction data; Predicting the change in the power of the liquid-cooled charging pile in the next cycle based on historical data to obtain second prediction data; Constructing a dynamic weight adjustment strategy based on the first prediction data and the second prediction data to compensate for key parameters in the second target parameters.

7. The liquid-cooled ultra-fast charging control method according to claim 1, characterized in that, The compensating the first target parameters based on the ambient temperature of the environment where the liquid-cooled charging pile is located to obtain second target parameters includes: Inputting the ambient temperature of the environment where the liquid-cooled charging pile is located and the first target parameters into a first neural network for data augmentation to obtain second target parameters.

8. A liquid-cooled ultra-fast charging control device, characterized in that, Including: A data acquisition module for obtaining first target parameters of a liquid-cooled charging pile, where the first target parameters include operating parameters of the liquid-cooled charging pile and grid parameters of the power grid where the liquid-cooled charging pile is located; A data augmentation module for compensating the first target parameters based on the ambient temperature of the environment where the liquid-cooled charging pile is located to obtain second target parameters; A power adjustment module for controlling the liquid-cooled charging pile to be in different operating modes according to different conditions satisfied by the second target parameters, where the liquid-cooling parameters of the liquid-cooled charging pile are different when the liquid-cooled charging pile is in different operating modes.

9. An electronic device, comprising a memory, a processor, and a computer program stored in the memory and running on the processor, characterized in that, When the processor executes the computer program, it implements the steps of the method according to any one of claims 1 to 7.

10. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 7 are implemented.

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