Electric loss control method and device for charging pile

Abstract

The invention provides an electrical loss control method and device for a charging pile, and the method achieves the effective control of electrical loss through the real-time monitoring and intelligent regulation of the working process of the charging pile, can improve the charging efficiency, and reduces the operation cost. The acquisition module acquires actual data of an output end of the charging pile in real time; comparing the real-time acquired data with original data recorded by the charging pile, and adjusting output parameters of the charging pile in real time; obtaining vehicle type information of a charging vehicle, calling pre-stored battery characteristic data of different vehicle types, and outputting a corresponding charging strategy; and in the charging process of the vehicle, the charging strategy is adjusted in combination with the state information of the charging pile.

Description

Technical Field

[0001] The present invention relates to the technical field of charging piles, and in particular to a method and device for controlling power loss of a charging pile. Background Art

[0002] With the widespread use of electric vehicles, charging piles have developed rapidly as important supporting facilities. However, there are a number of charging piles in the charging stations that have been in operation for several years. In the process of charging electric vehicles, power loss is inevitable, and the power loss problem of these early charging piles is particularly serious. The main problems are as follows:

[0003] 1. Due to insufficient precision, it is impossible to accurately control the power output, resulting in low charging efficiency and inaccurate loss assessment;

[0004] 2. Poor adaptability: The adaptability to different types of batteries or charging requirements is not strong enough, and the loss cannot be effectively reduced;

[0005] 3. Lack of real-time performance: Failure to make timely adjustments based on actual conditions affects the charging effect and leads to increased losses;

[0006] 4. Safety risks: There may be safety hazards, such as overcharging, over-discharging and other problems.

[0007] If all charging piles are updated, this will greatly increase operating costs and also have a certain impact on energy efficiency. Therefore, it is of great practical significance to find a method to effectively control the power loss of these early built charging piles. Summary of the invention

[0008] In view of the above problems, the present invention provides a method and device for controlling power loss of a charging pile, which can effectively control power loss by real-time monitoring and intelligent regulation of the working process of the charging pile, thereby improving charging efficiency and reducing operating costs.

[0009] The technical solution is as follows: A method for controlling power loss of a charging pile, characterized in that it comprises the following steps:

[0010] Install sensors on existing charging piles to collect actual data from the output end of the charging piles in real time;

[0011] Compare the real-time collected data with the original data recorded by the charging pile, and adjust the output parameters of the charging pile in real time;

[0012] Obtain the model information of the charging vehicle, call the pre-stored battery characteristic data of different models, and output the corresponding charging strategy;

[0013] During the charging process, the vehicle adjusts the charging strategy based on the status information of the charging pile.

[0014] Furthermore, the sensors installed on the existing charging pile include: a current sensor, a voltage sensor and a temperature sensor. The current sensor is arranged at the charging interface of the charging pile to measure the charging current; the voltage sensor is arranged on the power module of the charging pile to measure the charging voltage; the temperature sensor is installed in the housing of the charging pile to collect the temperature data of the charging pile;

[0015] Furthermore, the raw data recorded by the charging pile is time-aligned with the real-time collected data;

[0016] Calculate the voltage deviation value and the current deviation value respectively to form a data set;

[0017] Construct an error compensation model, use the voltage deviation value, current deviation value, and temperature value collected by the temperature sensor as model input, use the output voltage adjustment amount and output current adjustment amount that the charging pile needs to adjust as model output, and train the model through the historical data of the data set;

[0018] According to the output parameter adjustment amount calculated by the error compensation model, the charging pile adjusts the output voltage and current in real time.

[0019] Furthermore, an error compensation model is constructed based on the multivariate linear regression model. The voltage deviation value, current deviation value and temperature value collected by the temperature sensor are taken as independent variables, and the output voltage adjustment amount and output current adjustment amount that the charging pile needs to adjust are taken as dependent variables. The model is trained with the historical data of the data set, and the coefficients in the model are determined using the least squares method.

[0020] Furthermore, the raw data recorded by the charging pile is time-aligned with the real-time collected data;

[0021] Calculate the voltage deviation value and the current deviation value respectively, and combine the temperature and time to form a data set;

[0022] An error compensation model is constructed based on a long short-term memory network. The voltage deviation value, current deviation value, temperature value collected by the temperature sensor, and data collection time are used as model inputs. The model outputs are the output voltage adjustment amount and output current adjustment amount that the charging pile needs to adjust. The model is trained with the historical data of the data set to obtain a trained error compensation model.

[0023] According to the trained error compensation model, the voltage deviation value, the current deviation value, the temperature value collected by the temperature sensor and the data collection time are input, and the error compensation model outputs the voltage adjustment amount and the current adjustment amount.

[0024] Further, according to the vehicle model information, the pre-stored battery characteristic data of different vehicle models are called, and the battery characteristic data includes battery type, battery capacity, rated voltage, maximum charging current, and charge and discharge cycle life;

[0025] For lithium iron phosphate battery models, in the low power stage, a constant current charging current is used, and the charging current does not exceed 80% of the maximum allowable charging current of the battery; in the medium power stage, constant current charging is maintained, and the current is adjusted to 60%-70% of the maximum allowable charging current. At the same time, the battery voltage and temperature are monitored in real time, and the charging current is fine-tuned according to the battery characteristic curve; in the high power stage, a constant voltage charging mode is adopted, and the voltage is set to the rated charging voltage of the battery. As the battery power increases, the charging current is gradually reduced. When the charging current drops to the set low value, the charging voltage is reduced by 1%-3%;

[0026] For ternary lithium battery models, in the low power stage, first detect the battery temperature. If the temperature is within the appropriate temperature range, use constant current charging mode and use 70% of the battery's maximum allowable charging current for constant current charging; if the temperature is lower than the appropriate temperature range, reduce the charging current to 60% of the battery's maximum allowable charging current, and preheat the battery; in the medium power stage, use constant current charging mode, set the charging current to 50%-60% of the maximum allowable charging current, detect the battery temperature, and when the temperature rise rate exceeds the set value, reduce the charging current and / or increase heat dissipation; in the high power stage, use constant voltage charging mode, set the voltage to the rated charging voltage of the battery, and gradually reduce the charging current as the battery power increases. After the battery power reaches 80%, the current is reduced by 10% for every 5% increase in battery power. When the charging current drops to the set low value, reduce the charging voltage by 3%-5%.

[0027] Furthermore, if the internal temperature of the charging pile exceeds 50°C, reduce the charging current by 20%-30%, and at the same time strengthen the operation of the cooling system, reduce the charging current or suspend charging until the temperature drops to a safe range;

[0028] When the output voltage or current fluctuation of the charging pile exceeds the set range, it will automatically switch to the voltage and current control mode to stabilize the output; if the problem persists, charging will be suspended and troubleshooting will be carried out.

[0029] The power loss control method of the charging pile of the present invention collects data in real time by adding sensors, and constructs an error compensation model to adjust the output parameters, so as to accurately control the power output, reduce the power loss caused by insufficient precision and lack of real-time adjustment, and improve the charging efficiency. There is no need to completely update the charging piles, and only the transformation and optimization of existing equipment is required, which can avoid high equipment update costs and reduce operating costs. The method of the present invention formulates corresponding charging strategies for different types of batteries, so that the charging needs of different vehicle models and batteries can be met, and the loss can be effectively reduced. The present invention also monitors and controls the status of the charging pile equipment in real time to avoid damage to the equipment due to excessive use or abnormal working conditions, thereby extending the service life of the charging pile. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] Figure 1 This is a schematic diagram of the battery internal resistance model of the drone;

[0031] Figure 2 FIG. 4 is a diagram showing the internal structure of a computer device in one embodiment. DETAILED DESCRIPTION

[0032] See Figure 1 A method for controlling power loss of a charging pile of the present invention comprises the following steps:

[0033] Step 1: Install sensors on the existing charging piles to collect the actual data of the charging pile output in real time;

[0034] Step 2: Compare the real-time collected data with the original data recorded by the charging pile, and adjust the output parameters of the charging pile in real time;

[0035] Step 3: Obtain the model information of the charging vehicle, call the pre-stored battery characteristic data of different models, and output the corresponding charging strategy;

[0036] Step 4: During the charging process, the vehicle adjusts the charging strategy based on the status information of the charging pile.

[0037] In one embodiment of the present invention, in step 1, the sensors installed on the existing charging pile include: a current sensor, a voltage sensor and a temperature sensor;

[0038] Among them, the current sensor is arranged at the charging interface of the charging pile to measure the charging current. The current sensor can also be used to detect the current direction, such as using a Hall sensor, to ensure charging safety and accurate measurement; the voltage sensor is arranged on the power module of the charging pile to measure the charging voltage, and the temperature sensor is installed in the internal shell of the charging pile to collect the temperature data of the charging pile. The data collected by the sensor can be uploaded to the cloud server by the communication module of the charging pile itself. A small industrial computer can be set up in the charging station and connected to the charging column to obtain the collected data and the original data recorded by the charging pile, and the data can be stored and analyzed.

[0039] In step 2 of the embodiment, the specific implementation is as follows:

[0040] Step 201: Time-aligning the original data recorded by the charging pile with the real-time collected data;

[0041] Step 202: Calculate the voltage deviation value and the current deviation value respectively to form a data set;

[0042] Step 203: construct an error compensation model, use the voltage deviation value, the current deviation value and the temperature value collected by the temperature sensor as model inputs, use the output voltage adjustment amount and the output current adjustment amount that the charging pile needs to adjust as model outputs, train the model through the historical data of the data set, and determine the model parameters;

[0043] Step 204: The charging pile adjusts the output voltage and current in real time according to the output parameter adjustment amount calculated by the error compensation model.

[0044] In the embodiment, by installing sensors to monitor the actual data of the output end of the charging pile in real time and comparing it with the original data, accurate adjustment of the output parameters can be achieved, solving the problem of inaccurate power loss assessment caused by insufficient precision.

[0045] In one embodiment of the present invention, an error compensation model is constructed based on a multivariate linear regression model, with the voltage deviation value, current deviation value, and temperature value collected by the temperature sensor as independent variables, and the output voltage adjustment amount and output current adjustment amount that the charging pile needs to adjust as dependent variables. The model is trained with historical data of the data set, and the coefficients and constants in the model are determined using the least squares method. In the actual operation of the charging pile, the charging environment is relatively stable in most cases, and the voltage deviation value and the current deviation value are relatively linear, so a linear regression model can be used.

[0046] In the embodiment, the error compensation model includes a voltage adjustment error compensation model and a current adjustment error compensation model. The voltage adjustment error compensation model is as follows:

[0047] ΔVo=a1·ΔV+a2·ΔI+a3·T+b1

[0048] Among them, ΔVo is the output voltage adjustment amount that the charging pile needs to adjust, ΔV is the voltage deviation value between the voltage value collected in real time and the original voltage value recorded by the charging pile; ΔI is the current deviation value between the current value collected in real time and the original current value recorded by the charging pile; T is the temperature value collected in real time; a1, a2, a3 are coefficients, and b1 is a constant;

[0049] The current adjustment error compensation model is as follows:

[0050] ΔIo=c1·ΔV+c2·ΔI+c3·T+b2

[0051] Among them, ΔIo is the output current adjustment amount that the charging pile needs to adjust, ΔV is the voltage deviation value between the voltage value collected in real time and the original voltage value recorded by the charging pile; ΔI is the current deviation value between the current value collected in real time and the original current value recorded by the charging pile, T is the temperature value collected in real time, c1, c2, c3 are coefficients, and b2 is a constant term;

[0052] The least squares fitting algorithm is used to determine the compensation coefficient through multiple iterative calculations.

[0053] The multivariate linear regression model used in the embodiment has low computational complexity and can quickly calculate the adjustment amount of the output parameter based on the input deviation value and temperature value. It can meet the needs of real-time calibration of the output voltage and current of the charging pile and optimize the power loss in time. Due to the low computational cost, it can be achieved by setting up low-cost industrial control equipment, and the hardware cost is low.

[0054] In one embodiment of the present invention, an error compensation model can also be constructed based on a deep learning model, and an error compensation model can be constructed using a long short-term memory network. In step 2 of the embodiment, the comparison of the collected data with the original data recorded by the charging pile is specifically performed as follows:

[0055] Step 201: Time-aligning the original data recorded by the charging pile with the real-time collected data;

[0056] Step 202: Calculate the voltage deviation value and the current deviation value respectively, and combine the temperature and time to form a data set;

[0057] Step 203: construct an error compensation model based on the long short-term memory network, use the voltage deviation value, the current deviation value, the temperature value collected by the temperature sensor, and the data collection time as the model input, and the model output is the output voltage adjustment amount and the output current adjustment amount that the charging pile needs to adjust. The model is trained through the historical data of the data set to obtain a trained error compensation model;

[0058] Step 204: According to the trained error compensation model, the voltage deviation value, the current deviation value, the temperature value collected by the temperature sensor, and the data collection time are input, and the error compensation model outputs the voltage adjustment amount and the current adjustment amount.

[0059] In an embodiment, the error compensation model includes an input layer, an LSTM layer, a fully connected layer and an output layer. The input of the error compensation model is a multi-dimensional feature sequence of [voltage, current, temperature, time] after embedding representation. The LSTM layer is used to capture time series features, the fully connected layer is used to integrate features, and the output layer outputs voltage adjustment amounts and current adjustment amounts.

[0060] In the embodiment, the long short-term memory network is used because the voltage and current deviation values ​​of the charging pile during the peak power consumption period of the day may be larger than those at other periods. By adding the influence of time, the model can take into account the correlation between data at different times during the charging process, more accurately predict and adjust the output parameters, and thus achieve more accurate power loss control; by training the historical data of the data set, the error compensation model can automatically learn and adapt to various changes and laws in the charging process. With the continuous accumulation and updating of charging data, the model can continuously optimize and adjust its own parameters, which can improve the accuracy and effectiveness of power loss optimization and better cope with power loss control problems under different working conditions.

[0061] In the present invention, the power loss rate can be calculated as follows:

[0062] P=(P1–P2)÷P1×100%.

[0063] Among them, P1 is the input electric power, which refers to the electric power obtained by the charging pile from the power grid, and P2 is the output electric power, which refers to the electric power output when the charging pile transfers electric energy to the electric vehicle. Steps 1 and 2 mainly compensate for P2.

[0064] In step 3 of an embodiment of the present invention, based on the vehicle model information, the pre-stored battery characteristic data of different vehicle models are called, and the battery characteristic data includes battery type, battery capacity, rated voltage, maximum charging current, and charge-discharge cycle life;

[0065] In the embodiment, SOC<20% is defined as a low power stage, 20%≤SOC<80% is defined as a medium power stage, and SOC≥80% is defined as a high power stage. SOC represents the battery power percentage, and the definitions of high, medium, and low power stages can be adjusted according to actual conditions.

[0066] For lithium iron phosphate battery models, in the low power stage, constant current charging current is used, and the charging current does not exceed 80% of the maximum allowable charging current of the battery; in the medium power stage, constant current charging is maintained, and the current is adjusted to 60%-70% of the maximum allowable charging current. At the same time, the battery voltage and temperature are monitored in real time, and the charging current is fine-tuned according to the battery characteristic curve; in the high power stage, constant voltage charging mode is adopted, and the voltage is set to the rated charging voltage of the battery. As the battery power increases, the charging current is gradually reduced. After the battery power reaches 80%, the current is reduced by 10% for every 5% increase in battery power. When the charging current drops to the set low value, such as 5A-15A, the charging voltage is reduced by 1%-3%;

[0067] For ternary lithium battery models, in the low power stage, first detect the battery temperature. If the temperature is within the appropriate temperature range, use constant current charging mode and use 70% of the battery's maximum allowable charging current for constant current charging; if the temperature is lower than the appropriate temperature range, reduce the charging current to 60% of the battery's maximum allowable charging current, and preheat the battery; in the medium power stage, use constant current charging mode, set the charging current to 50%-60% of the maximum allowable charging current, detect the battery temperature, and when the temperature rise rate exceeds the set value, reduce the charging current and / or increase heat dissipation; in the high power stage, use constant voltage charging mode, set the voltage to the rated charging voltage of the battery, and gradually reduce the charging current as the battery power increases. After the battery power reaches 80%, the current is reduced by 10% for every 5% increase in battery power. When the charging current drops to the set low value, reduce the charging voltage by 3%-5%.

[0068] Long-term use of aging charging piles will increase the internal circuit resistance, and excessive current will cause I 2 R loss surges, and appropriately reducing the charging current can reduce power loss; and under normal circumstances, the rated load efficiency is higher at 60%-80%, and the current is reduced in stages, which can make the charging pile work in the optimal range of the efficiency curve for a long time, and the PWM control accuracy of the aging charging pile also decreases. By reducing the current, the polarization loss can be controlled within a reasonable range, which can avoid overheating and reduce power loss; the battery polarization internal resistance can increase by 3-5 times at low temperatures, and the ternary lithium vehicle model can be preheated at low temperatures to reduce the additional heat loss caused by the increase in the internal resistance of the equipment; due to the detection accuracy problem of aging equipment, when the charging current drops to the critical value, the present invention actively reduces the voltage, and the voltage reduction in advance can avoid the electrolyte decomposition loss caused by overcharging.

[0069] In one embodiment of the present invention, step 4 adjusts the charging strategy in combination with the status information of the charging pile, and is specifically performed as follows:

[0070] If the internal temperature of the charging pile exceeds 50°C, reduce the charging current by 20%-30% without affecting battery safety. At the same time, strengthen the operation of the cooling system, reduce the charging current or suspend charging until the temperature drops to a safe range.

[0071] When the output voltage or current fluctuation of the charging pile exceeds the set range, such as voltage fluctuation of ±5% and current fluctuation of ±10%, it automatically switches to the voltage and current stabilization control mode, and stabilizes the output by adjusting the parameters of the charging circuit; if the problem persists, charging is suspended and troubleshooting is carried out to avoid additional power loss of the battery and charging pile due to unstable output.

[0072] In addition, in one embodiment, when the service life of the charging pile exceeds 5 years, the charging current is reduced by 15%-20%; for the charging pile equipped with a power factor correction (PFC) device, the power factor of the charging pile is monitored, and when the power factor of the charging pile is lower than the set value, the charging pile automatically starts the power factor correction (PFC) device and improves the power factor by adjusting the circuit parameters.

[0073] In the embodiment, by monitoring and controlling the temperature, output voltage and current of the charging pile during the charging process, when an abnormal situation occurs, corresponding measures can be taken to reduce safety risks, thereby improving the safety of the charging pile.

[0074] In the charging stations operated by our company, the charging pile power loss control method of the present invention is used. There is no need to replace the old charging piles. Only upgrading and renovating them can achieve the optimization effect. Through real-time monitoring and intelligent regulation, the power loss of the charging piles is effectively controlled, the charging efficiency is significantly improved, and the operating costs are also reduced.

[0075] In an embodiment of the present invention, a computer device is also provided, including a memory and a processor, the memory stores a computer program, and the processor implements the above-mentioned charging pile power loss control method when executing the computer program.

[0076] The computer device may be a terminal, and its internal structure diagram may be as follows: Figure 2As shown. The computer device includes a processor, a memory, a network interface, a display screen and an input device connected by a bus. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The network interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, a method for controlling the power loss of a charging pile is implemented. The display screen of the computer device can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer device can be a touch layer covering the display screen, or a button, trackball or touchpad provided on the housing of the computer device, or an external keyboard, touchpad or mouse, etc.

[0077] The memory may be, but is not limited to, a random access memory (RAM), a read only memory (ROM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), an electrically erasable read-only memory (EEPROM), etc. The memory is used to store programs, and the processor executes the programs after receiving the execution instruction.

[0078] The processor can be an integrated circuit chip with signal processing capabilities. The above-mentioned processor can be a general-purpose processor, including a central processing unit (Central Processing Unit, referred to as: CPU), a network processor (Network Processor, referred to as: NP), etc. The processor can also be other general-purpose processors, digital signal processors (Digital Signal Processor, DSP), application-specific integrated circuits (Application Specific Integrated Circuit, ASIC), field programmable gate arrays (Field-Programmable Gate Array, FPGA) or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components, etc. The general-purpose processor can be a microprocessor or the processor can also be any conventional processor, etc. The various methods, steps and logic block diagrams disclosed in the embodiments of the present application can be implemented or executed. The general-purpose processor can be a microprocessor or the processor can also be any conventional processor, etc.

[0079] Those skilled in the art will understand that Figure 2 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0080] In an embodiment of the present invention, a computer-readable storage medium is further provided, on which a program is stored, and when the program is executed by a processor, the power loss control method of the charging pile as described above is implemented.

[0081] Those skilled in the art will appreciate that the embodiments of the embodiments of the present invention may be provided as methods, computer devices, or computer program products. Therefore, the embodiments of the present invention may take the form of complete hardware embodiments, complete software embodiments, or embodiments combining software and hardware. Moreover, the embodiments of the present invention may take the form of computer program products implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program codes.

[0082] The embodiments of the present invention are described with reference to flowcharts and / or block diagrams of methods, computer devices, or computer program products according to the embodiments of the present invention. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing terminal device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing terminal device generate a device for implementing the functions specified in the flowcharts and / or.

[0083] These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing terminal device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce a manufactured product including an instruction device that implements the functions specified in the flowchart.

[0084] In an embodiment of the present invention, a computer program product is also provided, comprising a computer program / instruction, which implements the steps of the above method when executed by a processor.

[0085] In actual application, the above-mentioned computer program products include but are not limited to: charging piles, charging stations, smart phones, desktop computers, laptop computers, tablet computers, host computers and server platforms, etc., and no specific restrictions are made here.

[0086] The above is a detailed introduction to the application of the power loss control method of the charging pile, the computer device, the computer-readable storage medium, and the computer program product provided by the present invention. Specific examples are used in this article to illustrate the principles and implementation methods of the present invention. The description of the above embodiments is only used to help understand the method of the present invention and its core idea; at the same time, for those skilled in the art, according to the idea of ​​the present invention, there will be changes in the specific implementation method and application scope. In summary, the content of this specification should not be understood as a limitation on the present invention.

Claims

1. A method for controlling power loss of a charging pile, characterized in that: The following steps are involved: Install sensors on existing charging piles to collect actual data from the output end of the charging piles in real time; Compare the real-time collected data with the original data recorded by the charging pile, and adjust the output parameters of the charging pile in real time; Obtain the model information of the charging vehicle, call the pre-stored battery characteristic data of different models, and output the corresponding charging strategy; During the charging process, the vehicle adjusts the charging strategy based on the status information of the charging pile.

2. The method for controlling power loss of a charging pile according to claim 1, characterized in that :The sensors installed on the existing charging pile include: a current sensor, a voltage sensor and a temperature sensor. The current sensor is arranged at the charging interface of the charging pile to measure the charging current; the voltage sensor is arranged on the power module of the charging pile to measure the charging voltage; the temperature sensor is installed in the shell of the charging pile to collect the temperature data of the charging pile.

3. The method for controlling power loss of a charging pile according to claim 2, characterized in that : The above-mentioned comparison of collected data with the original data recorded by the charging pile, and real-time adjustment of the output parameters of the charging pile, are specifically performed as follows: Time-align the raw data recorded by the charging pile with the real-time collected data; Calculate the voltage deviation value and the current deviation value respectively to form a data set; Construct an error compensation model, use the voltage deviation value, current deviation value and temperature value collected by the temperature sensor as model input, use the output voltage adjustment amount and output current adjustment amount that the charging pile needs to adjust as model output, train the model through the historical data of the data set, and determine the model parameters; According to the output parameter adjustment amount calculated by the error compensation model, the charging pile adjusts the output voltage and current in real time.

4. The method for controlling power loss of a charging pile according to claim 3, characterized in that :An error compensation model is constructed based on the multivariate linear regression model. The voltage deviation value, current deviation value and temperature value collected by the temperature sensor are taken as independent variables, and the output voltage adjustment amount and output current adjustment amount that the charging pile needs to adjust are taken as dependent variables. The model is trained through the historical data of the data set, and the coefficients in the model are determined using the least squares method.

5. The method for controlling power loss of a charging pile according to claim 2, characterized in that : The above-mentioned comparison of collected data with the original data recorded by the charging pile, and real-time adjustment of the output parameters of the charging pile, are specifically performed as follows: Time-align the raw data recorded by the charging pile with the real-time collected data; Calculate the voltage deviation value and the current deviation value respectively, and combine the temperature and time to form a data set; An error compensation model is constructed based on a long short-term memory network. The voltage deviation value, current deviation value, temperature value collected by the temperature sensor, and data collection time are used as model inputs. The model outputs are the output voltage adjustment amount and output current adjustment amount that the charging pile needs to adjust. The model is trained with the historical data of the data set to obtain a trained error compensation model. According to the trained error compensation model, the voltage deviation value, the current deviation value, the temperature value collected by the temperature sensor and the data collection time are input, and the error compensation model outputs the voltage adjustment amount and the current adjustment amount.

6. The method for controlling power loss of a charging pile according to claim 1, characterized in that : The method of obtaining the vehicle model information of the charging vehicle, calling the pre-stored battery characteristic data of different vehicle models, and outputting the corresponding charging strategy is specifically performed as follows: According to the vehicle model information, call the pre-stored battery characteristic data of different vehicle models, including battery type, battery capacity, rated voltage, maximum charging current, and charge and discharge cycle life; For lithium iron phosphate battery models, when the battery is low, a constant current is used for charging, and the charging current does not exceed 80% of the maximum allowable charging current of the battery; In the medium power stage, constant current charging is maintained, and the current is adjusted to 60%-70% of the maximum allowable charging current. At the same time, the battery voltage and temperature are monitored in real time, and the charging current is fine-tuned according to the battery characteristic curve; in the high power stage, the constant voltage charging mode is adopted, and the voltage is set to the rated charging voltage of the battery. As the battery power increases, the charging current is gradually reduced. When the charging current drops to the set low value, the charging voltage is reduced by 1%-3%; For ternary lithium battery models, in the low power stage, first detect the battery temperature. If the temperature is within the appropriate temperature range, use constant current charging mode and use 70% of the battery's maximum allowable charging current for constant current charging; if the temperature is lower than the appropriate temperature range, reduce the charging current to 60% of the battery's maximum allowable charging current, and preheat the battery; in the medium power stage, use constant current charging mode, set the charging current to 50%-60% of the maximum allowable charging current, detect the battery temperature, and when the temperature rise rate exceeds the set value, reduce the charging current and / or increase heat dissipation; in the high power stage, use constant voltage charging mode, set the voltage to the rated charging voltage of the battery, and gradually reduce the charging current as the battery power increases. After the battery power reaches 80%, the current is reduced by 10% for every 5% increase in battery power. When the charging current drops to the set low value, reduce the charging voltage by 3%-5%.

7. The method for controlling power loss of a charging pile according to claim 1, characterized in that : During the charging process, the vehicle adjusts the charging strategy in combination with the status information of the charging pile, which is specifically performed as follows: If the internal temperature of the charging pile exceeds 50°C, reduce the charging current by 20%-30%, strengthen the operation of the cooling system, reduce the charging current or suspend charging until the temperature drops to a safe range; When the output voltage or current fluctuation of the charging pile exceeds the set range, it will automatically switch to the voltage and current control mode to stabilize the output; if the problem persists, charging will be suspended and troubleshooting will be carried out.

8. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the power loss control method of the charging pile as described in any one of claims 1 to 7 is implemented.

9. A computer-readable storage medium having a program stored thereon, characterized in that: When the program is executed by the processor, the power loss control method of the charging pile as described in any one of claims 1 to 7 is implemented.

10. A computer program product comprising a computer program / instructions, characterized in that When the computer program / instructions are executed by a processor, the steps of the method according to any one of claims 1 to 7 are implemented.

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