Dynamic load balancing method and system of AC pile for charging new energy vehicle

Abstract

The invention relates to the technical field of charging management, in particular to a dynamic load balancing method and system for an alternating current pile for charging a new energy automobile, and the method comprises the steps: triggering a charging request instruction, obtaining charging demand data in response to the charging request instruction, acquiring charging configuration data based on the charging demand data; acquiring a power grid load state in real time, generating a charging regulation and control instruction based on the power grid load state, and acquiring a charging regulation index in response to the charging regulation and control instruction; adjusting the charging configuration data based on the charging adjustment index to obtain adjusted charging configuration data; and charging the electric vehicle based on the adjusted charging configuration data. The method has the effect of improving the charging efficiency and the service quality.

Description

Technical Field

[0001] The present invention relates to the technical field of charging management, and in particular to a dynamic load balancing method and system for an AC pile for charging a new energy vehicle. Background Art

[0002] With the rapid development of the global electric vehicle market, the demand for home electric vehicle charging is increasing. Most traditional charging equipment does not have the functions of intelligent management and load balancing. During the peak period of household electricity consumption, especially at night, large-scale electric vehicle charging may cause a sudden increase in grid load, which in turn causes local grid overload or even power outages. Although there are solutions to this problem on the market, there are still many limitations and cannot fully meet users' multiple needs for charging efficiency, safety and economy.

[0003] On the one hand, most of the existing charging equipment relies on timers to avoid peak power consumption times. Although this method is simple and easy to use, it is difficult to accurately match the actual load changes of the power grid in practical applications, and it has poor adaptability to irregular power consumption patterns. On the other hand, some high-end models are equipped with an on-board intelligent charging management system that can automatically adjust the charging rate according to preset parameters, but this requires the vehicle itself to have a high level of technology, and not all electric vehicles are compatible. In addition, a few charging piles use simple load monitoring devices to monitor the status of the power grid and reduce the charging power when necessary, but due to the lack of advanced computing power and remote communication functions, the performance and reliability of these products still need to be improved, so there is room for improvement. Summary of the invention

[0004] In order to effectively manage grid load fluctuations caused by electric vehicle charging in a home environment, prevent grid overload problems caused by charging activities, maintain the normal operation of other household appliances, and improve charging efficiency and service quality, the present application provides a dynamic load balancing method and system for an AC charging pile for new energy vehicles.

[0005] The above-mentioned invention objective of the present application is achieved through the following technical solutions: A dynamic load balancing method for an AC pile for charging a new energy vehicle, the dynamic load balancing method for an AC pile for charging a new energy vehicle comprising the steps of: triggering a charging request instruction, acquiring charging requirement data in response to the charging request instruction, and acquiring charging configuration data based on the charging requirement data; Acquire the load status of the power grid in real time, generate a charging control instruction based on the load status of the power grid, and acquire a charging adjustment index in response to the charging control instruction; Adjusting the charging configuration data based on the charging adjustment index to obtain adjusted charging configuration data; The electric vehicle is charged based on the adjusted charging configuration data.

[0006] By adopting the above technical solution, during the charging process of the electric vehicle, the user inserts the charging head of the charging pile into the charging port of the electric vehicle, triggers the charging request instruction, responds to the charging request instruction, and extracts the charging demand data, which refers to the charging status of the vehicle, the required charging power, the estimated charging time and other information, obtains the corresponding charging configuration data according to the charging demand data, and the charging configuration data refers to the power, current, voltage and other data of the car charging, and obtains the grid load status in real time, which refers to the total load, available capacity, peak load and other key indicators of the current household power grid, generates a charging control instruction according to the grid load status, obtains the charging adjustment index according to the charging control instruction, and refers to the value for specifically controlling the charging configuration data, so as to realize dynamic balancing of the charging status according to the current load status of the household power grid, adjusts the charging configuration data according to the charging adjustment index, obtains the adjusted charging configuration data, and uses the adjusted charging configuration data for charging, which can effectively manage the grid load fluctuation caused by the charging of electric vehicles in the home environment, prevent the grid overload problem caused by the charging activity, and maintain the normal operation of other household appliances, thereby improving the charging efficiency and service quality.

[0007] In a preferred example, the present application may be further configured as follows: the triggering of the charging request instruction, the obtaining of charging demand data in response to the charging request instruction, and the obtaining of charging configuration data based on the charging demand data specifically include: Detecting a charging request input by a user through an operation interface, parsing the charging request, and extracting information such as the model, battery capacity, and remaining power of the charging vehicle; The charging demand data is determined according to the model, battery capacity, remaining power and other information of the charging vehicle.

[0008] By adopting the above technical solution, accurate charging configuration can be achieved to ensure the safety and efficiency of the charging process. Specifically, by querying the pre-stored charging configuration database and obtaining the initial charging configuration data that matches the charging demand data, it can be ensured that the charging parameters meet the specific needs of the vehicle and avoid charging failures or safety hazards caused by improper charging parameter settings. At the same time, by setting parameters such as charging voltage, current, and maximum charging power according to the initial charging configuration data, the charging process can be optimized, the charging efficiency can be improved, and the charging time can be reduced, thereby improving the user experience.

[0009] In a preferred example, the present application may be further configured as follows: the acquiring charging configuration data based on the charging demand data specifically includes: Querying a pre-stored charging configuration database based on the charging demand data to obtain initial charging configuration data matching the charging demand data; According to the initial charging configuration data, parameters such as charging voltage, current, and maximum charging power are set.

[0010] By adopting the above technical solution, accurate charging configuration can be achieved to ensure the safety and efficiency of the charging process. Specifically, by querying the pre-stored charging configuration database and obtaining the initial charging configuration data that matches the charging demand data, it can be ensured that the charging parameters meet the specific needs of the vehicle and avoid charging failures or safety hazards caused by improper charging parameter settings. At the same time, by setting parameters such as charging voltage, current, and maximum charging power according to the initial charging configuration data, the charging process can be optimized, the charging efficiency can be improved, and the charging time can be reduced, thereby improving the user experience.

[0011] In a preferred example, the present application may be further configured as follows: generating a charging control instruction based on the power grid load state, responding to the charging control instruction, and obtaining a charging adjustment index specifically include: Determining whether the load state of the power grid exceeds a preset threshold, and if the load state of the power grid exceeds the preset threshold, generating a charging control instruction to reduce the charging power; If the grid load state is lower than a preset threshold, a charging control instruction is generated to maintain the current charging power; Respond to the charging control instruction; calculate a charging adjustment index according to the content of the charging control instruction; the charging adjustment index is used to indicate the adjustment range of the charging power.

[0012] By adopting the above technical solution, it is possible to realize real-time monitoring and accurate evaluation of the load status of the power grid, ensure that the charging power is reduced in time when the power grid load is too high, and avoid the risk of power grid overload caused by large-scale charging. At the same time, when the power grid load is low, the current charging power is maintained, and the power resources in the off-peak period are fully utilized to improve the charging efficiency. This method not only improves the safety and stability of the charging process, but also effectively optimizes the utilization of electric energy and reduces the charging cost of users. After receiving the charging control instruction, a specific charging adjustment index is calculated, which clearly indicates the charging power amplitude that needs to be adjusted. This enables the system to quickly reduce the charging power when the power grid load is too high, avoid excessive impact on the power grid, and effectively prevent the occurrence of local power grid overload or power outages. At the same time, when the power grid load is low, the system can maintain a higher charging power, improve charging efficiency, shorten charging time, and meet the user's fast charging needs.

[0013] In a preferred example, the present application may be further configured as follows: after charging the electric vehicle based on the adjusted charging configuration data, the dynamic load balancing method of the AC pile for charging the new energy vehicle further includes: Acquire current charging state information, acquire power supply temperature data based on the current charging state information, input the power supply temperature data into a preset temperature monitoring model, and obtain a charging temperature monitoring value; Determine whether the charging temperature monitoring value is greater than or equal to a preset temperature value, generate a second charging configuration control instruction according to the determination result, and acquire new charging configuration data based on the second charging configuration control instruction.

[0014] By adopting the above technical solution, during the charging process of the automobile, the charging power supply is monitored in real time, the current charging state information of the charging power supply is obtained in real time, the internal temperature data of the charging power supply during the charging process is obtained by using the current charging state information of the charging power supply, the temperature data is input into a preset temperature monitoring model, the current charging temperature value of the charging power supply during the charging process is monitored by the preset temperature monitoring model, the real-time monitoring function of the internal temperature of the charging power supply during the charging process is realized, and it is judged whether the charging temperature value of the charging power supply is greater than the safety temperature threshold of the charging power supply. When the charging temperature monitoring value is greater than or equal to the safety temperature threshold, the charging scheme of the charging power supply is changed, and then the charging scheme can be automatically adjusted when the internal temperature of the charging power supply is too high, which can effectively prevent the charging power supply temperature from being too high and affecting the charging efficiency of the automobile charging power supply. At the same time, it can also prevent the charging power supply from continuously using a high-power charging scheme when the internal temperature is too high and affecting the service life of the charging power supply.

[0015] In a preferred example, the present application may be further configured as follows: before inputting the power supply temperature data into a preset temperature monitoring model to obtain a charging temperature monitoring value, the dynamic load balancing method of the AC pile for charging the new energy vehicle further includes: Acquire charging history data, and acquire temperature data during the charging process of the vehicle and corresponding ambient temperature data from the charging history data; The temperature monitoring model is obtained by training according to the temperature data and the ambient temperature data.

[0016] By adopting the above technical solution, when the charging pile is in use, the ambient temperature of the car charging will also affect the charging power. Therefore, when training the temperature monitoring model, the ambient temperature data is taken into account so that the model can have a correlation between the internal temperature and the ambient temperature, making the temperature monitoring during the charging process more accurate.

[0017] The second object of the invention is achieved by the following technical solutions: A dynamic load balancing system for an AC charging pile for a new energy vehicle, the dynamic load balancing system for an AC charging pile for a new energy vehicle comprising: A charging configuration data acquisition module, used to trigger a charging request instruction, acquire charging demand data in response to the charging request instruction, and acquire charging configuration data based on the charging demand data; A charging adjustment index acquisition module, used to acquire the load state of the power grid in real time, generate a charging control instruction based on the load state of the power grid, and acquire a charging adjustment index in response to the charging control instruction; A charging configuration control module, configured to adjust the charging configuration data based on the charging adjustment index to obtain adjusted charging configuration data; A charging module is used to charge the electric vehicle based on the adjusted charging configuration data.

[0018] By adopting the above technical solution, during the charging process of the electric vehicle, the user inserts the charging head of the charging pile into the charging port of the electric vehicle, triggers the charging request instruction, responds to the charging request instruction, and extracts the charging demand data, which refers to the charging status of the vehicle, the required charging power, the estimated charging time and other information, obtains the corresponding charging configuration data according to the charging demand data, and the charging configuration data refers to the power, current, voltage and other data of the car charging, and obtains the grid load status in real time, which refers to the total load, available capacity, peak load and other key indicators of the current household power grid, generates a charging control instruction according to the grid load status, obtains the charging adjustment index according to the charging control instruction, and refers to the value for specifically controlling the charging configuration data, so as to realize dynamic balancing of the charging status according to the current load status of the household power grid, adjusts the charging configuration data according to the charging adjustment index, obtains the adjusted charging configuration data, and uses the adjusted charging configuration data for charging, which can effectively manage the grid load fluctuation caused by the charging of electric vehicles in the home environment, prevent the grid overload problem caused by the charging activity, and maintain the normal operation of other household appliances, thereby improving the charging efficiency and service quality.

[0019] The third objective of the present application is achieved through the following technical solutions: A computer device comprises a memory, a processor and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the steps of the dynamic load balancing method for an AC pile for charging new energy vehicles are implemented.

[0020] The fourth objective of the present application is achieved through the following technical solutions: A computer-readable storage medium stores a computer program, which, when executed by a processor, implements the steps of the dynamic load balancing method for an AC pile for charging new energy vehicles.

[0021] In summary, the present application includes at least one of the following beneficial technical effects: 1. During the charging process of an electric vehicle, the user inserts the charging head of the charging pile into the charging port of the electric vehicle, triggering a charging request instruction, responding to the charging request instruction, and extracting charging demand data. The charging demand data refers to information such as the charging status of the vehicle, the required charging power, and the estimated charging time. The corresponding charging configuration data is obtained according to the charging demand data. The charging configuration data refers to data such as the power, current, and voltage of the vehicle charging, and the grid load status is obtained in real time. The grid load status refers to key indicators such as the total load, available capacity, and peak load of the current household power grid. A charging control instruction is generated according to the grid load status, and a charging adjustment index is obtained according to the charging control instruction. The charging adjustment index refers to a value for specifically controlling the charging configuration data, so as to achieve dynamic balancing of the charging status according to the current load status of the household power grid. The charging configuration data is adjusted according to the charging adjustment index to obtain the adjusted charging configuration data. The adjusted charging configuration data is used for charging, which can effectively manage the grid load fluctuation caused by the charging of electric vehicles in a home environment, prevent the grid overload problem caused by the charging activity, and maintain the normal operation of other household appliances, thereby improving the charging efficiency and service quality. 2. Ability to achieve accurate charging configuration to ensure the safety and efficiency of the charging process. Specifically, by querying the pre-stored charging configuration database and obtaining the initial charging configuration data that matches the charging demand data, it can ensure that the charging parameters meet the specific needs of the vehicle and avoid charging failures or safety hazards caused by improper charging parameter settings. At the same time, by setting parameters such as charging voltage, current, and maximum charging power according to the initial charging configuration data, the charging process can be optimized, charging efficiency can be improved, and charging time can be reduced, thereby improving the user experience; 3. It can realize real-time monitoring and accurate evaluation of the load status of the power grid, ensuring that the charging power is reduced in time when the power grid load is too high, avoiding the risk of power grid overload caused by large-scale charging. At the same time, when the power grid load is low, the current charging power is maintained to make full use of low-peak power resources and improve charging efficiency. This method not only improves the safety and stability of the charging process, but also effectively optimizes the utilization of electric energy and reduces the charging cost of users. After receiving the charging control instruction, a specific charging adjustment index is calculated, which clearly indicates the charging power amplitude that needs to be adjusted. This enables the system to quickly reduce the charging power when the power grid load is too high to avoid excessive impact on the power grid, thereby effectively preventing the occurrence of local power grid overload or power outages. At the same time, when the power grid load is low, the system can maintain a higher charging power, improve charging efficiency, shorten charging time, and meet users' fast charging needs; 4. During the charging process of the car, the charging power supply is monitored in real time, and the current charging status information of the charging power supply is obtained in real time. The temperature data inside the charging power supply during the charging process is obtained by using the current charging status information of the charging power supply, and the temperature data is input into a preset temperature monitoring model. The current charging temperature value of the charging power supply during the charging process is monitored by the preset temperature monitoring model, so as to realize the real-time monitoring function of the internal temperature of the charging power supply during the charging process, and judge whether the charging temperature value of the charging power supply is greater than the safety temperature threshold of the charging power supply. When the charging temperature monitoring value is greater than or equal to the safety temperature threshold, the charging scheme of the charging power supply is changed, and then the charging scheme can be automatically adjusted when the internal temperature of the charging power supply is too high, which can effectively prevent the charging power supply temperature from being too high and affecting the charging efficiency of the car charging power supply. At the same time, it can also prevent the charging power supply from continuously using a high-power charging scheme when the internal temperature is too high, thereby affecting the service life of the charging power supply. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] Figure 1 This is a flow chart of a dynamic load balancing method for an AC pile for charging a new energy vehicle in one embodiment of the present application; Figure 2 It is a flowchart for implementing step S10 in a dynamic load balancing method for an AC pile for charging a new energy vehicle in one embodiment of the present application; Figure 3 This is another implementation flow chart of step S10 in the dynamic load balancing method of the AC pile for charging new energy vehicles in one embodiment of the present application; Figure 4 It is a flowchart for implementing step S20 in a dynamic load balancing method for an AC pile for charging a new energy vehicle in one embodiment of the present application; Figure 5 This is another implementation flow chart of a dynamic load balancing method for an AC pile for charging a new energy vehicle in one embodiment of the present application; Figure 6 This is another implementation flow chart of a dynamic load balancing method for an AC pile for charging a new energy vehicle in one embodiment of the present application; Figure 7 It is a principle block diagram of a dynamic load balancing system of an AC pile for charging new energy vehicles in one embodiment of the present application; Figure 8 It is a schematic diagram of a computer device in one embodiment of the present application. DETAILED DESCRIPTION

[0023] The present application is further described in detail below in conjunction with the accompanying drawings.

[0024] In one embodiment, if Figure 1 As shown, the present application discloses a dynamic load balancing method for an AC pile for charging a new energy vehicle, which specifically includes the following steps: S10: triggering a charging request instruction, acquiring charging requirement data in response to the charging request instruction, and acquiring charging configuration data based on the charging requirement data.

[0025] Specifically, during the charging process of an electric vehicle, the user inserts the charging head of the charging pile into the charging port of the electric vehicle. The user can trigger a charging request instruction by touching the operating interface of the charging pile or operating the corresponding interface of the APP, respond to the charging request instruction, and extract the charging demand data. The charging demand data refers to the vehicle's charging status, required charging power, estimated charging time and other information. The corresponding charging configuration data is obtained based on the charging demand data. The charging configuration data refers to the power, current, voltage and other data of the car's charging.

[0026] S20: Acquire the load status of the power grid in real time, generate a charging control instruction based on the load status of the power grid, and acquire a charging adjustment index in response to the charging control instruction.

[0027] Specifically, the grid load status is acquired in real time. The grid load status refers to key indicators such as the total load, available capacity, and peak load of the current household power grid. A charging control instruction is generated according to the grid load status. The charging adjustment index is obtained according to the charging control instruction. The charging adjustment index refers to a numerical value for specific control of the charging configuration data, so as to achieve dynamic balanced charging according to the current load condition of the household power grid.

[0028] S30: adjusting the charging configuration data based on the charging adjustment index to obtain adjusted charging configuration data.

[0029] S40: Charging the electric vehicle based on the adjusted charging configuration data.

[0030] Specifically, the charging configuration data is adjusted according to the charging adjustment index to obtain the adjusted charging configuration data, and the adjusted charging configuration data is used for charging, such as adjusting the charging voltage, current, maximum charging power and other parameters according to the charging adjustment index. For example, if the charging adjustment index is -10%, the system will reduce the charging power by 10%. The system updates the charging configuration data to form the adjusted charging configuration data.

[0031] In this embodiment, during the charging process of the electric vehicle, the user inserts the charging head of the charging pile into the charging port of the electric vehicle, triggers a charging request instruction, responds to the charging request instruction, and extracts charging demand data, which refers to information such as the charging status of the vehicle, the required charging power, and the estimated charging time. The corresponding charging configuration data is obtained according to the charging demand data. The charging configuration data refers to data such as the power, current, and voltage of the vehicle charging, and the grid load status is obtained in real time. The grid load status refers to key indicators such as the total load, available capacity, and peak load of the current household power grid. A charging control instruction is generated according to the grid load status, and a charging adjustment index is obtained according to the charging control instruction. The charging adjustment index refers to a value for specifically controlling the charging configuration data, so as to achieve dynamic balancing of the charging status according to the current load status of the household power grid. The charging configuration data is adjusted according to the charging adjustment index to obtain the adjusted charging configuration data, and the adjusted charging configuration data is used for charging. The grid load fluctuation caused by the charging of the electric vehicle can be effectively managed in the home environment, and the grid overload problem caused by the charging activity can be prevented. At the same time, the normal operation of other household appliances is maintained, and the charging efficiency and service quality are improved.

[0032] In one embodiment, if Figure 2 As shown, in step S10, a charging request instruction is triggered, charging requirement data is acquired in response to the charging request instruction, and charging configuration data is acquired based on the charging requirement data, specifically including: S11: Detecting a charging request input by a user through an operation interface, parsing the charging request, and extracting information such as the model, battery capacity, and remaining power of the charging vehicle.

[0033] Specifically, when a user needs to charge an electric vehicle, he or she sends a charging request through the button or touch screen on the operation interface. After the system detects this request, it will parse the request and extract information such as the model of the charging vehicle, battery capacity, and remaining power. For example, the user can choose to manually enter this information, or automatically read the relevant information by scanning the vehicle's QR code. The system determines the charging demand data based on this information.

[0034] S12: Determine charging demand data according to the model, battery capacity, remaining power and other information of the charging vehicle.

[0035] Specifically, by setting parameters such as charging voltage, current, and maximum charging power according to the initial charging configuration data, the charging process can be optimized, charging efficiency can be improved, and charging time can be reduced, thereby improving user experience.

[0036] In one embodiment, if Figure 3 As shown, in step S10, charging configuration data is acquired based on the charging demand data, specifically including: S13: querying a pre-stored charging configuration database based on the charging demand data to obtain initial charging configuration data matching the charging demand data.

[0037] S14: According to the initial charging configuration data, setting parameters such as charging voltage, current, and maximum charging power.

[0038] Specifically, the historical data of each charging will also be recorded, including charging start time, end time, charging power, grid load status, etc. These data will be stored locally or in a cloud server for subsequent analysis. By querying the pre-stored charging configuration database and obtaining the initial charging configuration data that matches the charging demand data, it can ensure that the charging parameters meet the specific needs of the vehicle and avoid charging failures or safety hazards caused by improper charging parameter settings. At the same time, by setting parameters such as charging voltage, current, and maximum charging power according to the initial charging configuration data, the charging process can be optimized, charging efficiency can be improved, and charging time can be reduced, thereby improving the user experience, achieving accurate charging configuration, and ensuring the safety and efficiency of the charging process.

[0039] In one embodiment, if Figure 4 As shown, in step S20, a charging control instruction is generated based on the power grid load state, and a charging adjustment index is obtained in response to the charging control instruction, which specifically includes: S21: Determine whether the grid load state exceeds a preset threshold value, and if the grid load state exceeds the preset threshold value, generate a charging control instruction to reduce the charging power.

[0040] S22: If the grid load state is lower than a preset threshold, a charging control instruction is generated to maintain the current charging power.

[0041] S23: responding to the charging control instruction; calculating a charging adjustment index according to the content of the charging control instruction; the charging adjustment index is used to indicate the adjustment range of the charging power.

[0042] Specifically, the voltage, current, frequency and other parameters of the power grid are monitored in real time through sensors. These sensors can be integrated inside the charging pile or externally connected high-precision sensors. The data collected by the sensors are uploaded to the cloud server through wired or wireless communication. The cloud server calculates the current power grid load status based on the received data. If the power grid load status exceeds the preset threshold, the system will generate a charging control instruction to reduce the charging power; otherwise, it will generate a charging control instruction to maintain the current charging power. After receiving the charging control instruction, the system will calculate the charging adjustment index according to the instruction content. The index is used to indicate the adjustment range of the charging power, realize real-time monitoring and accurate evaluation of the power grid load status, ensure that the charging power is reduced in time when the power grid load is too high, and avoid the risk of power grid overload caused by large-scale charging. At the same time, when the power grid load is low, the current charging power is maintained, and the power resources in the off-peak period are fully utilized to improve the charging efficiency. This method not only improves the safety and stability of the charging process, but also effectively optimizes the utilization of electric energy and reduces the charging cost of users.

[0043] In one embodiment, if Figure 5 As shown, after step S40, the dynamic load balancing method of the AC pile for charging the new energy vehicle further includes: S50: obtaining current charging status information, obtaining power supply temperature data based on the current charging status information, and inputting the power supply temperature data into a preset temperature monitoring model to obtain a charging temperature monitoring value.

[0044] Specifically, during the charging process of the car, the charging power supply is monitored in real time, and the current charging status information of the charging power supply is obtained in real time. The current charging status information of the charging power supply is used to obtain the internal temperature data of the charging power supply during the charging process, and the temperature data is input into a preset temperature monitoring model. The current charging temperature value of the charging power supply during the charging process is monitored through the preset temperature monitoring model, thereby realizing the real-time monitoring function of the internal temperature of the charging power supply during the charging process.

[0045] S60: Determine whether the charging temperature monitoring value is greater than or equal to a preset temperature value, generate a second charging configuration control instruction according to the determination result, and acquire new charging configuration data based on the second charging configuration control instruction.

[0046] Specifically, it is determined whether the charging temperature value of the charging power supply is greater than the safety temperature threshold of the charging power supply. When the charging temperature monitoring value is greater than or equal to the safety temperature threshold, the charging plan of the charging power supply is changed, and then the charging plan can be automatically adjusted when the internal temperature of the charging power supply is too high, which can effectively prevent the charging power supply temperature from being too high and affecting the charging efficiency of the vehicle charging power supply. At the same time, it can also prevent the charging power supply from continuously using a high-power charging plan when the internal temperature is too high, thereby affecting the service life of the charging power supply.

[0047] In one embodiment, if Figure 6 As shown, before step S50, that is, before inputting the power supply temperature data into the preset temperature monitoring model to obtain the charging temperature monitoring value, the dynamic load balancing method of the AC pile for charging the new energy vehicle also includes: S501: Acquire charging history data, and acquire temperature data during the charging process of the vehicle and corresponding ambient temperature data from the charging history data.

[0048] S502: Perform training according to the temperature data and the ambient temperature data to obtain the temperature monitoring model.

[0049] Specifically, when the charging pile is in use, the ambient temperature of the car charging will also affect the charging power. Therefore, when training the temperature monitoring model, the ambient temperature data is taken into account so that the model can have a correlation between the internal temperature and the ambient temperature, making the temperature monitoring during the charging process more accurate.

[0050] It should be understood that the size of the serial numbers of the steps in the above embodiments does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0051] In one embodiment, a dynamic load balancing system for an AC charging pile for a new energy vehicle is provided, and the dynamic load balancing system for an AC charging pile for a new energy vehicle corresponds one-to-one to the dynamic load balancing method for an AC charging pile for a new energy vehicle in the above embodiment. Figure 7 As shown, the dynamic load balancing system of the AC pile for charging new energy vehicles includes a charging configuration data acquisition module, a charging adjustment index acquisition module, a charging configuration control module and a charging module. The detailed description of each functional module is as follows: A charging configuration data acquisition module, used to trigger a charging request instruction, acquire charging demand data in response to the charging request instruction, and acquire charging configuration data based on the charging demand data; A charging adjustment index acquisition module, used to acquire the load state of the power grid in real time, generate a charging control instruction based on the load state of the power grid, and acquire a charging adjustment index in response to the charging control instruction; A charging configuration control module, configured to adjust the charging configuration data based on the charging adjustment index to obtain adjusted charging configuration data; A charging module is used to charge the electric vehicle based on the adjusted charging configuration data.

[0052] Optionally, also include: A charging temperature monitoring module, used to obtain current charging status information, obtain power supply temperature data based on the current charging status information, input the power supply temperature data into a preset temperature monitoring model, and obtain a charging temperature monitoring value; The charging adjustment module is used to determine whether the charging temperature monitoring value is greater than or equal to a preset temperature value, generate a second charging configuration control instruction according to the determination result, and obtain new charging configuration data based on the second charging configuration control instruction.

[0053] For the specific definition of the dynamic load balancing system of the AC pile for charging new energy vehicles, please refer to the definition of the dynamic load balancing method of the AC pile for charging new energy vehicles in the above text, which will not be repeated here. Each module in the above-mentioned dynamic load balancing system of the AC pile for charging new energy vehicles can be implemented in whole or in part through software, hardware and a combination thereof. The above-mentioned modules can be embedded in or independent of the processor in the computer device in the form of hardware, or can be stored in the memory of the computer device in the form of software, so that the processor can call and execute the operations corresponding to the above modules.

[0054] In one embodiment, a computer device is provided. The computer device may be a server, and its internal structure diagram may be as follows: Figure 8 As shown. The computer device includes a processor, a memory, a network interface and a database connected via a system 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, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used to store vehicle charging data. The network interface of the computer device is used to communicate with an external terminal via a network connection. When the computer program is executed by the processor, a dynamic load balancing method for an AC pile for charging a new energy vehicle is implemented.

[0055] In one embodiment, a computer device is provided, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, the following steps are implemented: triggering a charging request instruction, acquiring charging requirement data in response to the charging request instruction, and acquiring charging configuration data based on the charging requirement data; Acquire the load status of the power grid in real time, generate a charging control instruction based on the load status of the power grid, and acquire a charging adjustment index in response to the charging control instruction; Adjusting the charging configuration data based on the charging adjustment index to obtain adjusted charging configuration data; The electric vehicle is charged based on the adjusted charging configuration data.

[0056] In one embodiment, a computer readable storage medium is provided, on which a computer program is stored, and when the computer program is executed by a processor, the following steps are implemented: triggering a charging request instruction, acquiring charging requirement data in response to the charging request instruction, and acquiring charging configuration data based on the charging requirement data; Acquire the load status of the power grid in real time, generate a charging control instruction based on the load status of the power grid, and acquire a charging adjustment index in response to the charging control instruction; Adjusting the charging configuration data based on the charging adjustment index to obtain adjusted charging configuration data; The electric vehicle is charged based on the adjusted charging configuration data.

[0057] Those of ordinary skill in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be implemented by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided in this application may include non-volatile and / or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in many forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), etc.

[0058] Those skilled in the art can clearly understand that for the convenience and simplicity of description, only the division of the above-mentioned functional units and modules is used as an example. In actual applications, the above-mentioned functions can be distributed and completed by different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above.

[0059] The embodiments described above are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, a person skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. Such modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application, and should all be included in the protection scope of the present application.

Claims

1. A dynamic load balancing method for an AC pile for charging a new energy vehicle, characterized in that: The dynamic load balancing method of the AC pile for charging new energy vehicles comprises the following steps: triggering a charging request instruction, acquiring charging requirement data in response to the charging request instruction, and acquiring charging configuration data based on the charging requirement data; Acquire the load status of the power grid in real time, generate a charging control instruction based on the load status of the power grid, and acquire a charging adjustment index in response to the charging control instruction; Adjusting the charging configuration data based on the charging adjustment index to obtain adjusted charging configuration data; The electric vehicle is charged based on the adjusted charging configuration data.

2. The dynamic load balancing method for an AC pile for charging a new energy vehicle according to claim 1, characterized in that: The triggering of the charging request instruction, acquiring charging requirement data in response to the charging request instruction, and acquiring charging configuration data based on the charging requirement data specifically include: Detecting a charging request input by a user through an operation interface, parsing the charging request, and extracting the model, battery capacity, and remaining power information of the charging vehicle; The charging demand data is determined according to the model, battery capacity and remaining power information of the charging vehicle.

3. The dynamic load balancing method for an AC pile for charging a new energy vehicle according to claim 1, characterized in that: The acquiring charging configuration data based on the charging demand data specifically includes: Querying a pre-stored charging configuration database based on the charging demand data to obtain initial charging configuration data matching the charging demand data; The charging voltage, current and maximum charging power parameters are set according to the initial charging configuration data.

4. The dynamic load balancing method for an AC pile for charging a new energy vehicle according to claim 1, characterized in that: The generating of a charging control instruction based on the power grid load state, responding to the charging control instruction, and acquiring a charging adjustment index specifically includes: Determining whether the load state of the power grid exceeds a preset threshold, and if the load state of the power grid exceeds the preset threshold, generating a charging control instruction to reduce the charging power; If the grid load state is lower than a preset threshold, a charging control instruction is generated to maintain the current charging power; Respond to the charging control instruction; calculate a charging adjustment index according to the content of the charging control instruction; the charging adjustment index is used to indicate the adjustment range of the charging power.

5. The dynamic load balancing method for an AC pile for charging a new energy vehicle according to claim 1, characterized in that: After charging the electric vehicle based on the adjusted charging configuration data, the dynamic load balancing method of the AC pile for charging the new energy vehicle further includes: Acquire current charging state information, acquire power supply temperature data based on the current charging state information, input the power supply temperature data into a preset temperature monitoring model, and obtain a charging temperature monitoring value; Determine whether the charging temperature monitoring value is greater than or equal to a preset temperature value, generate a second charging configuration control instruction according to the determination result, and acquire new charging configuration data based on the second charging configuration control instruction.

6. The dynamic load balancing method for an AC pile for charging a new energy vehicle according to claim 5, characterized in that: Before inputting the power supply temperature data into a preset temperature monitoring model to obtain a charging temperature monitoring value, the dynamic load balancing method for the AC pile for charging the new energy vehicle further includes: Acquire charging history data, and acquire temperature data during the charging process of the vehicle and corresponding ambient temperature data from the charging history data; The temperature monitoring model is obtained by training according to the temperature data and the ambient temperature data.

7. A dynamic load balancing system for an AC pile for charging new energy vehicles, characterized in that: The dynamic load balancing system of the AC pile for charging new energy vehicles includes: A charging configuration data acquisition module, used to trigger a charging request instruction, acquire charging demand data in response to the charging request instruction, and acquire charging configuration data based on the charging demand data; A charging adjustment index acquisition module, used to acquire the load state of the power grid in real time, generate a charging control instruction based on the load state of the power grid, and acquire a charging adjustment index in response to the charging control instruction; A charging configuration control module, configured to adjust the charging configuration data based on the charging adjustment index to obtain adjusted charging configuration data; A charging module is used to charge the electric vehicle based on the adjusted charging configuration data.

8. The dynamic load balancing system for an AC pile for charging new energy vehicles according to claim 7, characterized in that: Also includes: A charging temperature monitoring module, used to obtain current charging status information, obtain power supply temperature data based on the current charging status information, input the power supply temperature data into a preset temperature monitoring model, and obtain a charging temperature monitoring value; The charging adjustment module is used to determine whether the charging temperature monitoring value is greater than or equal to a preset temperature value, generate a second charging configuration control instruction according to the determination result, and obtain new charging configuration data based on the second charging configuration control instruction.

9. A computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the steps of the dynamic load balancing method for an AC pile for charging a new energy vehicle are implemented as described in any one of claims 1 to 6.

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 a dynamic load balancing method for an AC pile for charging a new energy vehicle are implemented as described in any one of claims 1 to 6.

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