A charging control method, device, equipment and storage medium for a charging pile
By receiving instructions from the power grid dispatching center in the parking lot charging management system, obtaining the output power of the charging pile and adjusting the power of the charging pile in combination with the power grid load data, the problem of difficulty in responding to the dynamic load changes of the power grid is solved, and dynamic optimization management of the charging load and balance of stable operation of the power grid is achieved.
Patent Information
- Application Number
- CN202411602097.3
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2024-11-11
- Publication Date
- 2025-04-15
- Estimated Expiration
- 2044-11-11
AI Technical Summary
The existing parking lot charging management system is difficult to effectively respond to the dynamic load changes of the power grid, resulting in possible waste of power grid resources or local overload.
By receiving the peak balancing instructions of the power grid dispatch center, the system obtains the output power of each charging pile, calculates the total charging load, combines the real-time and historical load data of the power grid, analyzes the load change trend, and adjusts the output power of the charging pile to achieve dynamic optimization management of the charging load.
It realizes dynamic optimization management of charging load, effectively responds to the dynamic load changes of the power grid, balances charging demands with the stable operation of the power grid, meets user charging needs and protects vehicle batteries.
Smart Images

Figure CN119261650B_ABST
Abstract
Description
Technical Field
[0001] The present application relates to the technical field of electric vehicle charging, and in particular to a charging control method, device, equipment and storage medium for a charging pile. Background Art
[0002] With the popularity of electric vehicles in urban transportation, parking lots in large commercial centers and office parks have gradually become important centralized charging sites. These sites usually face peak charging demand during the daytime on weekdays, which coincides with the peak load period of the power grid. How to meet the charging demand of a large number of electric vehicles while avoiding increasing the load pressure on the power grid has become a technical problem that needs to be solved urgently.
[0003] Existing parking lot charging management systems usually use a fixed ratio power limit or power distribution method to control the total charging load. For example, during peak load periods, the power of all charging piles is uniformly reduced to a certain ratio, or the available power is evenly distributed according to the number of connected vehicles. Although the above methods can control the total charging load to a certain extent, this extensive management method is difficult to effectively respond to the dynamic load changes of the power grid, which may lead to waste of power grid resources or local overload. Summary of the invention
[0004] The present application provides a charging control method for a charging pile, which is used to effectively respond to dynamic load changes in a power grid and achieve a balance between charging demand and stable operation of the power grid.
[0005] In a first aspect, the present application provides a charging control method for a charging pile, the method comprising: when a valley-peak balancing instruction sent by a power grid dispatching center is received, the output power of each charging pile in a parking lot is obtained, and the total charging load of the parking lot is determined according to the output power of each charging pile; when the total charging load exceeds a set threshold, the difference between the total charging load and the set threshold is calculated; the real-time load data and historical load data of the power grid are obtained, and the changing trend of the power grid load is determined according to the real-time load data and the historical load data; the target power value to be adjusted for the parking lot is determined in combination with the difference and the changing trend of the power grid load; the charging mode of the vehicle corresponding to each charging pile is obtained, and the output power of each charging pile is adjusted according to the target power value and the charging mode of the vehicle corresponding to each charging pile to obtain the first output power of each charging pile; the battery status information of the vehicle corresponding to each charging pile is obtained, and the first output power of each charging pile is adjusted according to the battery status information of the vehicle corresponding to each charging pile to obtain the second output power of each charging pile, and the output power of each charging pile is adjusted to the second output power.
[0006] By adopting the above technical solution, when the valley-peak balance instruction from the power grid dispatching center is received, the system first obtains the output power of each charging pile and calculates the total charging load. If it exceeds the set threshold, the difference is calculated. Subsequently, the system obtains the real-time and historical load data of the power grid, analyzes the load change trend, and determines the target power value that needs to be adjusted in the parking lot in combination with the above difference. Next, the system obtains the charging mode of the vehicle corresponding to each charging pile, and preliminarily adjusts the output power of each charging pile according to the target power value and charging mode. Finally, the system considers the battery status information of each vehicle, further adjusts the output power, and obtains the final output power setting value. By comprehensively considering the power grid load, vehicle charging demand and battery status, dynamic optimization management of the charging load is realized, which can effectively respond to the dynamic load changes of the power grid and achieve a balance between charging demand and stable operation of the power grid, and can also meet the user's charging needs and protect the vehicle battery to the greatest extent, achieving the multiple goals of power grid stability, user satisfaction and equipment safety.
[0007] Optionally, determining the changing trend of the power grid load based on the real-time load data and the historical load data includes: determining an initial changing trend of the power grid load based on the historical load data; adjusting the initial changing trend based on the real-time load data to obtain a target changing trend of the power grid load, and determining the target changing trend as the changing trend of the power grid load.
[0008] By adopting the above technical solutions, historical data reflects the long-term change law of power grid load, such as intraday fluctuations, periodic changes, etc. However, relying solely on historical data may not reflect the actual situation of the current power grid in a timely manner. Therefore, the system further introduces real-time load data to adjust the initial change trend. This adjustment may use algorithms such as weighted average, exponential smoothing or machine learning to correct the initial trend according to the degree of deviation of real-time data. In this way, the system obtains a more accurate target change trend and determines it as the final power grid load change trend. This method of combining historical and real-time data not only retains the long-term change law, but also can quickly respond to short-term fluctuations, improving the accuracy and adaptability of the prediction. It enables the charging control system to more accurately predict the future power grid load status, thereby making more reasonable charging power adjustment decisions, effectively balancing the power grid load and improving charging efficiency.
[0009] Optionally, the determining of a target power value that needs to be adjusted for the parking lot by combining the difference and the changing trend of the grid load includes: determining a first power value that needs to be adjusted for the parking lot based on the difference; adjusting the first power value based on the changing trend of the grid load to obtain the target power value that needs to be adjusted for the parking lot; wherein, if the changing trend of the grid load is a downward trend, reducing the first power value; and if the changing trend of the grid load is an upward trend, increasing the first power value.
[0010] By adopting the above technical solution, the system determines a preliminary first power value according to the difference between the total charging load of the parking lot and the set threshold, which reflects the power size that needs to be adjusted at present. However, considering only the current state may lead to insufficient forward-looking adjustments. Therefore, the change trend of the power grid load is further introduced to adjust the first power value. If the power grid load shows a downward trend, it means that the pressure on the power grid may decrease in the future. The system will appropriately reduce the first power value to give more room for charging; conversely, if the power grid load shows an upward trend, it indicates that the pressure on the power grid may increase in the future. The system will increase the first power value to control the charging load to a greater extent. In this way, a target power value that comprehensively considers the current state and future trends is finally obtained. This dynamic adjustment strategy makes charging control more forward-looking and flexible, can better balance the immediate charging demand and future changes in the power grid load, effectively avoids the problem of over-adjustment or under-adjustment, and thus realizes more intelligent and efficient charging management, which not only meets the charging needs of users, but also helps to maintain the stable operation of the power grid.
[0011] Optionally, the output power of each charging pile is adjusted according to the target power value and the charging mode of the vehicle corresponding to each charging pile to obtain the first output power of each charging pile, including: adjusting the output power of each charging pile according to the target power value to obtain the initial output power of each charging pile; adjusting the initial output power of each charging pile according to the charging mode of the vehicle corresponding to each charging pile to obtain the first output power of each charging pile.
[0012] By adopting the above technical solution, the output power of each charging pile is preliminarily adjusted according to the target power value to be adjusted in the parking lot to obtain the initial output power. This step ensures that the overall charging load of the parking lot meets the needs of the power grid. However, simple balanced adjustment may not meet the specific charging needs of different vehicles. Therefore, the system further considers the charging mode of each charging pile corresponding to the vehicle, such as fast charging, slow charging, etc., and makes a secondary adjustment to the initial output power, and finally obtains the first output power of each charging pile. This step-by-step adjustment method first achieves the control target of the overall power, and on this basis considers the differences in individual needs. For example, for vehicles that choose the fast charging mode, the system may allocate higher power within the allowed range, while for vehicles in the slow charging mode, the power allocation may be appropriately reduced. This method not only ensures the balance of the power grid load, but also better meets the charging needs of different users and improves user satisfaction. At the same time, by considering the charging mode, the system can allocate charging resources more reasonably, improve the overall charging efficiency, avoid resource waste, and achieve more intelligent and personalized charging management.
[0013] Optionally, the method of adjusting the initial output power of each charging pile according to the charging mode of the vehicle corresponding to each charging pile to obtain the first output power of each charging pile includes: determining the charging completion time of the vehicle corresponding to each charging pile according to the charging mode of the vehicle corresponding to each charging pile; obtaining the user-set departure time of the vehicle corresponding to each charging pile; calculating the time difference between the charging completion time and the user-set departure time, and adjusting the initial output power of each charging pile according to the time difference to obtain the first output power of each charging pile.
[0014] By adopting the above technical solution, the estimated charging completion time is calculated according to the charging mode of each charging pile corresponding to the vehicle, which reflects the time required to complete charging at the current power. At the same time, the system obtains the expected departure time set by the user, which represents the user's time expectation for the charging service. By calculating the difference between the charging completion time and the departure time set by the user, the system can determine whether the current charging plan can meet the user's needs. If the time difference is large, it means there is room for adjustment; if the time difference is small or negative, the charging power may need to be increased. According to this time difference, the system adjusts the initial output power of each charging pile accordingly to obtain the first output power. The dynamic adjustment strategy based on time difference can not only better meet the time needs of individual users, but also optimize the allocation efficiency of the overall charging resources.
[0015] Optionally, the first output power of each charging pile is adjusted according to the battery status information of the vehicle corresponding to each charging pile to obtain the second output power of each charging pile, including: determining the target charging power of the vehicle corresponding to each charging pile according to the battery status information of the vehicle corresponding to each charging pile; according to the target charging power, adjusting the first output power of each charging pile to obtain the second output power of each charging pile, wherein if the first output power is higher than the target charging power, reducing the first output power; if the first output power is lower than the target charging power, increasing the first output power.
[0016] By adopting the above technical solution, the target charging power of each vehicle is determined according to the battery status information of each charging pile corresponding to the vehicle, such as battery type, capacity, current power, temperature, etc. This step takes into account the optimal charging curves of different batteries in different states to achieve efficient charging while protecting battery life. Subsequently, the system compares and adjusts this target charging power with the first output power previously determined. If the first output power is higher than the target charging power, the system will reduce the power to avoid potential damage to the battery; if the first output power is lower than the target charging power, the power will be increased within the allowable range to improve the charging efficiency. Through this adjustment, the system finally obtains the second output power of each charging pile. This refined adjustment strategy based on battery status can not only ensure the safety and efficiency of charging, but also extend the battery life. It avoids the battery loss problem that may be caused by blindly pursuing high-power charging, and also prevents low charging efficiency due to too low power.
[0017] Optionally, after adjusting the output power of each of the charging piles to the second output power, it also includes: monitoring the actual output power of each of the charging piles; comparing the actual output power with the second output power, and when the difference between the actual output power and the second output power exceeds a preset range, adjusting the output power of each of the charging piles so that the difference between the actual output power and the second output power is within the preset range.
[0018] By adopting the above technical solution, a real-time monitoring and feedback mechanism is introduced after the output power adjustment of the charging pile is completed, aiming to ensure the stability and accuracy of the charging process. The system continuously monitors the actual output power of each charging pile and compares it with the set second output power. The purpose of this step is to identify and correct possible power deviations, which may be caused by factors such as equipment errors, environmental changes or grid fluctuations. When the difference between the actual output power and the second output power exceeds the preset range, the system triggers the automatic adjustment mechanism to fine-tune the output power of the charging pile so that the actual output power returns to the expected range. This dynamic adjustment process may involve increasing or decreasing the output power, depending on the direction and size of the deviation. Through this real-time monitoring and adjustment mechanism, the system can better control the charging process and ensure the charging efficiency and the stability of the grid load. This method not only improves the accuracy of the charging process, but also can quickly respond to and adapt to changes in the charging environment, reducing the battery loss and grid instability problems that may be caused by power fluctuations.
[0019] In a second aspect, the present application provides a charging control device for a charging pile, the device comprising: a first determination module, a calculation module, a second determination module, a third determination module, a first adjustment module and a second adjustment module; wherein the first determination module is used to obtain the output power of each charging pile in the parking lot when receiving a valley-peak balance instruction sent by a power grid dispatching center, and determine the total charging load of the parking lot according to the output power of each charging pile; the calculation module is used to calculate the difference between the total charging load and the set threshold when the total charging load exceeds a set threshold; the second determination module is used to obtain real-time load data and historical load data of the power grid, and determine the power load according to the real-time load data and the historical load data. the third determining module is used to determine the target power value that needs to be adjusted for the parking lot in combination with the difference and the changing trend of the grid load; the first adjusting module is used to obtain the charging mode of the vehicle corresponding to each charging pile, and adjust the output power of each charging pile according to the target power value and the charging mode of the vehicle corresponding to each charging pile to obtain the first output power of each charging pile; the second adjusting module is used to obtain the battery status information of the vehicle corresponding to each charging pile, and adjust the first output power of each charging pile according to the battery status information of the vehicle corresponding to each charging pile to obtain the second output power of each charging pile, and adjust the output power of each charging pile to the second output power.
[0020] In a third aspect, the present application provides an electronic device, which adopts the following technical solution: it includes a processor, a memory, a user interface and a network interface, the memory is used to store instructions, the user interface and the network interface are used to communicate with other devices, and the processor is used to execute the instructions stored in the memory so that the electronic device executes a computer program such as any of the above-mentioned charging control methods for the charging pile.
[0021] In a fourth aspect, the present application provides a computer-readable storage medium, which adopts the following technical solution: storing a computer program that can be loaded by a processor and execute any of the above-mentioned charging control methods for the charging pile.
[0022] In summary, the present application includes at least one of the following beneficial technical effects:
[0023] 1. Effectively respond to the dynamic load changes of the power grid and achieve a balance between charging demand and stable operation of the power grid;
[0024] 2. Meet users' charging needs and protect vehicle batteries. BRIEF DESCRIPTION OF THE DRAWINGS
[0025] Figure 1 It is a flow chart of a charging control method for a charging pile provided in an embodiment of the present application;
[0026] Figure 2 It is a structural schematic diagram of a charging control device of a charging pile provided in an embodiment of the present application;
[0027] Figure 3 It is a structural schematic diagram of an electronic device provided in an embodiment of the present application.
[0028] Description of reference numerals: 1000, electronic device; 1001, processor; 1002, communication bus; 1003, user interface; 1004, network interface; 1005, memory. DETAILED DESCRIPTION
[0029] In order to enable those skilled in the art to better understand the technical solutions in this specification, the technical solutions in the embodiments of this specification will be clearly and completely described below in conjunction with the drawings in the embodiments of this specification. Obviously, the described embodiments are only part of the embodiments of this application, not all of the embodiments.
[0030] In the description of the embodiments of the present application, words such as "illustrative", "for example" or "for example" are used to indicate examples, illustrations or descriptions. Any embodiment or design described as "illustrative", "for example" or "for example" in the embodiments of the present application should not be interpreted as being more preferred or more advantageous than other embodiments or designs. Specifically, the use of words such as "illustrative", "for example" or "for example" is intended to present related concepts in a concrete way.
[0031] The charging control method of the present invention is applicable to large-scale electric vehicle charging scenarios, such as large-scale parking lots with multiple charging piles such as commercial centers, office parks, and public parking lots. In these scenarios, as the number of electric vehicles increases, large-scale charging behavior may have an impact on the power grid, especially during peak hours of electricity consumption. Traditional charging methods are difficult to meet these complex needs at the same time, so there is a need for an intelligent and personalized charging control method that can comprehensively consider multiple factors such as power grid conditions, user needs, and vehicle characteristics. This method can not only improve user satisfaction and optimize charging efficiency, but also provide support for the stable operation of the power grid, which is of great significance to the efficient operation of large-scale electric vehicle charging infrastructure and the dynamic management of power grid loads.
[0032] Figure 1 is a flow chart of a charging control method for a charging pile provided in an embodiment of the present application. Figure 1 As shown, the method includes S101-S106:
[0033] S101, when a valley-peak balancing instruction sent by a power grid dispatching center is received, the output power of each charging pile in the parking lot is obtained, and the total charging load of the parking lot is determined according to the output power of each charging pile.
[0034] In this embodiment, the grid dispatch center is the central organization in the power system responsible for coordinating and managing power production, transmission and distribution. Its main function is to ensure the stable operation of the power grid, the balance of power supply and demand, and the maintenance of power quality. In the context of smart grids, the grid dispatch center monitors and adjusts the grid load in real time to cope with the fluctuation of power demand and the instability of new energy generation.
[0035] The valley-peak balancing instruction is a dispatching instruction issued by the power grid dispatching center to balance the power grid load. The purpose of this instruction is to adjust the power load to cope with the peak (peak period) and low (valley period) of power consumption in the power grid.
[0036] When the charging control system in the parking lot receives the valley-peak balancing instruction sent by the power grid dispatching center, it first needs to obtain the output power of each charging pile in the parking lot and determine the total charging load of the parking lot based on the output power.
[0037] In specific implementation, the charging control system collects the output power data of each charging pile in real time through the communication interface with each charging pile. The collection frequency can be set according to actual needs, for example, once a minute. The system accumulates the output power of all the charging piles collected to obtain the total charging load of the parking lot. This method can quickly and accurately reflect the real-time power consumption of the parking lot, and helps the charging control system to respond to the valley-peak balance instructions of the power grid dispatching center in a timely manner.
[0038] S102, when the total charging load exceeds a set threshold, the difference between the total charging load and the set threshold is calculated.
[0039] S103, acquiring real-time load data and historical load data of the power grid, and determining a change trend of the power grid load according to the real-time load data and the historical load data.
[0040] In specific implementation, the current grid load data is obtained in real time through the data interface with the grid management system. At the same time, the system will also extract the historical grid load data of a certain period in the past (such as the last 24 hours or the last week) from its database. The real-time load data is compared and analyzed with the historical load data, and time series analysis or machine learning algorithms (such as linear regression, ARIMA model, etc.) are used to predict the changing trend of the grid load in the short term. For example, the system may determine that the grid load is on an upward trend, a downward trend, or remains stable. This trend analysis enables the charging control system to predictively adjust the charging strategy rather than just passively responding to the current situation. If it is predicted that the grid load will continue to rise, the system may take more active power reduction measures; conversely, if it is predicted that the grid load will decrease, the system may moderately relax the power limit. In this way, the charging control system can more intelligently balance the charging demand and the grid load, which can not only meet the charging needs of users, but also contribute to the stable operation of the grid.
[0041] Based on the above embodiment, as an optional implementation, in S103, determining the change trend of the power grid load according to the real-time load data and the historical load data specifically includes S31-S32:
[0042] S31, determining the initial change trend of the grid load based on historical load data.
[0043] In one example, historical data of grid load for a certain period of time in the past (such as the last 24 hours, a week, or a month) is extracted from its database. The system may use time series analysis methods such as moving average, exponential smoothing, or autoregressive integrated moving average model (ARIMA) to analyze these historical data. Through these methods, the system can identify periodic patterns, long-term trends, and short-term fluctuations in grid load. For example, the system may find that the load pattern on weekdays is different from that on weekends, or that the load trend in summer is significantly different from that in winter. Based on these analyses, the system will derive an initial change trend, such as an upward trend, a downward trend, or a stable trend. This initial change trend provides an important reference framework for subsequent real-time data analysis. By determining the initial change trend, the charging control system can better understand the overall change law of the grid load, thereby providing strong support for subsequent real-time data analysis and decision-making.
[0044] S32, adjusting the initial change trend according to the real-time load data to obtain a target change trend of the grid load, and determining the target change trend as the change trend of the grid load.
[0045] In one example, the latest grid load data is obtained through a real-time data interface with the grid management system. These real-time data may be updated at a higher frequency, such as once every minute or every five minutes. The system compares and analyzes these real-time data with the initial change trend previously derived based on historical data. The analysis method may include short-term trend identification algorithms, dynamic time warping (DTW) or Kalman filtering techniques. Through these methods, the system can identify the deviation between the real-time data and the initial trend and adjust the initial trend accordingly. For example, if the real-time data shows that the load growth rate is faster than the initial trend forecast, the system will increase the growth rate forecast accordingly; conversely, if the real-time data shows that the load growth rate slows down, the system will reduce the growth rate forecast. The adjusted result is the target change trend of the grid load, which the system determines as the final grid load change trend. This dynamic adjustment method that combines historical data and real-time data can more accurately reflect the actual changes in the grid load while maintaining consideration of long-term trends. In this way, the charging control system can respond to the dynamic changes of the grid load more flexibly and accurately, thereby formulating a more reasonable charging strategy. This not only improves the system's adaptability to emergencies or short-term fluctuations, but also enhances the foresight and accuracy of charging management.
[0046] S104, determining a target power value that needs to be adjusted for the parking lot based on the difference and the change trend of the grid load.
[0047] In one example, the system first considers the size of the difference, which represents the extent to which the current charging load exceeds expectations. The system then combines this difference with the changing trend of the grid load for analysis. For example, if the difference is large and the grid load is on an upward trend, the system may set a larger target power reduction value; conversely, if the difference is small and the grid load is on a downward trend, the system may choose a relatively small target power reduction value. The system can use preset algorithms or rules to quantify this combined analysis, such as using weighted average or fuzzy logic. In the end, the system will derive a specific target power value, indicating the total power that the parking lot needs to adjust.
[0048] This target power value takes into account both the actual situation of the current charging load and the changing trend of the grid load, so it can better balance the charging demand and grid stability. By determining the target power value in this way, the charging control system can achieve more accurate and dynamic charging management. This not only helps to effectively respond to the valley-peak balancing instructions of the grid dispatching center, but also can minimize the impact on the grid while meeting the charging needs of users.
[0049] Based on the above embodiment, as an optional implementation, in S104, combining the difference and the change trend of the power grid load, determining the target power value to be adjusted for the parking lot specifically includes S41-S42:
[0050] S41, determining a first power value that needs to be adjusted for the parking lot according to the difference.
[0051] During specific implementation, the system will directly use the previously calculated difference as the basic power amount that needs to be adjusted. This difference represents the part of the current total charging load that exceeds the set threshold, so it is reasonable to use it as the first power value. For example, if the difference is 100kW, the system will set 100kW as the first power value that needs to be adjusted in the parking lot. This method of directly using the difference is simple and intuitive, and can quickly respond to the current charging load situation. By determining this first power value, the system lays the foundation for subsequent refined adjustments. This first power value reflects the most basic amount that needs to be adjusted, ensuring that the system can at least reduce the total charging load to below the set threshold.
[0052] S42, according to the changing trend of the grid load, the first power value is adjusted to obtain the target power value that needs to be adjusted for the parking lot; wherein, if the changing trend of the grid load is a downward trend, the first power value is reduced; if the changing trend of the grid load is an upward trend, the first power value is increased.
[0053] In one example, the system first refers to the trend of grid load changes obtained from the previous analysis. If the grid load is on a downward trend, the system will appropriately reduce the first power value, because the reduction in grid load means that the grid has more capacity to bear the charging load. In this case, the system may multiply the first power value by an adjustment factor less than 1, such as 0.8 or 0.9, depending on the strength of the downward trend. Conversely, if the grid load is on an upward trend, the system will increase the first power value to more actively control the charging load and avoid increasing the pressure on the grid. In this case, the system may multiply the first power value by an adjustment factor greater than 1, such as 1.1 or 1.2. The specific magnitude of the adjustment can be determined by preset rules or algorithms, which may take into account factors such as the speed and magnitude of the grid load change. Through this adjustment, the system finally obtains the target power value that needs to be adjusted in the parking lot.
[0054] This dynamic adjustment method based on the trend of grid load changes can better balance charging demand and grid stability. It enables the charging control system to not only respond to the current charging load situation, but also to predictably respond to changes in grid load. This forward-looking management method helps reduce the impact of charging load on the grid, while allowing more charging demand to be met when the grid load is low.
[0055] S105, obtaining the charging mode of each charging pile corresponding to the vehicle, adjusting the output power of each charging pile according to the target power value and the charging mode of each charging pile corresponding to the vehicle, and obtaining the first output power of each charging pile.
[0056] In one example, the charging mode information of the vehicle currently connected to each charging pile is obtained through the communication interface with each charging pile. The charging mode may include fast charging mode, slow charging mode, balanced charging mode, etc. The system will take into account the differences in power requirements of these different charging modes. For example, the fast charging mode usually requires higher power, while the slow charging mode can accept relatively low power. After obtaining this information, the system will adjust the output power of each charging pile according to the preset priority rules and algorithms, combined with the previously determined target power value. The adjustment process may adopt methods such as proportional allocation or priority allocation to ensure that the overall power adjustment amount reaches the target value while meeting the needs of different charging modes as much as possible. After adjustment, the system obtains the first output power of each charging pile. This power value takes into account both the overall power regulation target and the charging needs of individual vehicles.
[0057] Based on the above embodiment, as an optional implementation, in S105, according to the target power value and the charging mode of the vehicle corresponding to each charging pile, the output power of each charging pile is adjusted to obtain the first output power of each charging pile, which specifically includes S51-S52:
[0058] S51, adjusting the output power of each charging pile according to the target power value to obtain the initial output power of each charging pile.
[0059] In one example, the system first obtains the real-time output power data of all charging piles currently being charged. Then, the system will decide how to convert the target power value into specific adjustments for each charging pile based on a preset allocation algorithm. This allocation algorithm may adopt average allocation, proportional allocation, or priority allocation.
[0060] For example, if proportional allocation is used, the system will allocate the power that needs to be adjusted in the same proportion based on the proportion of the current output power of each charging pile to the total charging power. If the target power value represents the total power that needs to be reduced, then each charging pile will reduce its output power by a certain proportion. The system will consider the minimum and maximum output power limits of each charging pile to ensure that the adjusted power is within the allowable range. Through this allocation and adjustment, the system obtains the initial output power of each charging pile.
[0061] S52, adjusting the initial output power of each charging pile according to the charging mode of the vehicle corresponding to each charging pile, to obtain the first output power of each charging pile.
[0062] In one example, the charging mode information of the vehicle currently connected to each charging pile is obtained through the communication interface with each charging pile. These charging modes may include fast charging mode, slow charging mode, balanced charging mode, etc. The system will fine-tune the previously determined initial output power based on preset rules and algorithms, taking into account the characteristics and requirements of these different charging modes. For example, for vehicles in fast charging mode, the system may slightly increase the output power of its charging pile within the allowed range to meet the needs of fast charging; for vehicles in slow charging mode, the system may appropriately reduce the output power of its charging pile and allocate more power to other vehicles with more urgent needs. During the adjustment process, the system will ensure that the overall power adjustment amount still meets the previously determined target power value, and this balance may be achieved through iterative calculations or optimization algorithms.
[0063] Through this refined adjustment based on the charging mode, the system finally obtains the first output power of each charging pile. This adjustment method can better balance the charging needs of different users and the overall power control target. It enables the charging control system to not only effectively manage the overall charging load, but also to meet the specific charging needs of individual vehicles to a certain extent.
[0064] Based on the above embodiment, as an optional implementation, in S52, according to the charging mode of the vehicle corresponding to each charging pile, adjusting the initial output power of each charging pile, and obtaining the first output power of each charging pile specifically includes S521-S523:
[0065] S521, determining the charging completion time of the vehicle corresponding to each charging pile according to the charging mode of the vehicle corresponding to each charging pile.
[0066] In one example, the system first obtains detailed information about each vehicle being charged through the communication interface with each charging pile and the vehicle system, including the current remaining battery power, battery capacity, charging mode (such as fast charging, slow charging, balanced charging, etc.), and the target charging amount set by the user. Based on this information, the system uses a preset algorithm to calculate the estimated charging completion time for each vehicle, combined with the characteristics of each charging mode (such as charging curve, maximum charging power, etc.). For example, for the fast charging mode, the system will take into account that there may be a higher charging power at the beginning of charging, which will gradually decrease in the later stage; for the slow charging mode, the system will assume a relatively stable charging power. During the calculation process, the system will also take into account the nonlinear characteristics of battery charging, such as the charging speed will be significantly reduced when it is close to full charge. Through these detailed calculations and considerations, the system can derive a relatively accurate estimated charging completion time for the vehicle corresponding to each charging pile.
[0067] S522, obtaining the user-set departure time of the vehicle corresponding to each charging pile.
[0068] S523, calculating the time difference between the charging completion time and the departure time set by the user, adjusting the initial output power of each charging pile according to the time difference, and obtaining the first output power of each charging pile.
[0069] In one example, the system first obtains the estimated departure time set by each charging user through the user interface or reservation system. Then, the system compares the previously calculated estimated charging completion time with the departure time set by the user and calculates the time difference. This time difference may be a positive value (indicating that charging may be completed in advance), a negative value (indicating that charging may not be completed before the user leaves), or zero (indicating that charging is completed just when leaving). Based on this time difference, the system adjusts the initial output power of each charging pile.
[0070] For cases where the time difference is negative, the system will increase the output power of the charging pile within the allowed range to complete charging as soon as possible before the user leaves. The magnitude of the increase may be proportional to the absolute value of the time difference, but the maximum allowable charging power of the charging pile and the vehicle must also be considered. For cases where the time difference is positive, the system may appropriately reduce the output power of the charging pile so that excess charging resources can be allocated to users who need it more, while also reducing the peak load. For cases where the time difference is close to zero, the system may keep the initial output power unchanged. When making these adjustments, the system will comprehensively consider the conditions of all charging piles to ensure that the overall power adjustment still meets the target power value previously determined. It may be necessary to achieve this balance through iterative calculations or optimization algorithms.
[0071] Through this refined adjustment based on time difference, the system finally obtains the first output power of each charging pile. This adjustment method can better balance the user's time requirements and the overall allocation of charging resources. It enables the charging control system to not only effectively manage the overall charging load, but also to meet the specific time requirements of individual users to a large extent.
[0072] S106, obtaining battery status information of the vehicle corresponding to each charging pile, adjusting the first output power of each charging pile according to the battery status information of the vehicle corresponding to each charging pile, obtaining the second output power of each charging pile, and adjusting the output power of each charging pile to the second output power.
[0073] In one example, the battery status information of each charging vehicle is obtained through the communication interface with each charging pile and the vehicle system. This information may include the remaining capacity, temperature, health status, etc. of the battery. The system will fine-tune the previously determined first output power based on this battery status information, combined with the preset battery protection and optimized charging strategy. For example, for vehicles with high battery temperature, the system may appropriately reduce the charging power to avoid overheating; for vehicles with a battery remaining capacity close to full charge, the system may reduce the charging power to extend the battery life; and for vehicles with good battery status and requiring fast charging, the system may slightly increase the charging power within the allowed range. Through these adjustments, the system obtains the second output power of each charging pile, and then adjusts the actual output power of each charging pile to this new value. This refined adjustment based on battery status can not only better protect the vehicle battery and extend its service life, but also improve the overall charging efficiency. At the same time, since this adjustment is carried out on the premise of meeting the overall power target, it will not significantly affect the load balance of the power grid. This intelligent charging management method reflects the system's emphasis on user needs and equipment protection, which can not only improve user satisfaction, but also reduce the potential negative impact of charging on vehicles.
[0074] Based on the above embodiment, as an optional implementation, in S106, adjusting the first output power of each charging pile according to the battery status information of the vehicle corresponding to each charging pile to obtain the second output power of each charging pile specifically includes S61-S62:
[0075] S61, determining the target charging power of the vehicle corresponding to each charging pile according to the battery status information of the vehicle corresponding to each charging pile.
[0076] In one example, the system first obtains the detailed battery status information of each charging vehicle through the communication interfaces with each charging pile and the in-vehicle system. This information includes key parameters such as the current remaining battery charge (SOC), battery temperature, battery health status (SOH), and the number of battery charging cycles. The system will calculate the most suitable target charging power for each vehicle based on this information, combined with the preset battery charging characteristic model and safety limits.
[0077] Specifically, the system uses a multi-parameter dynamic charging power adjustment model to determine the target charging power: First, power calculation is based on the state of the remaining battery charge (SOC):
[0078] For example: When SOC < 30%: 80% - 100% of the maximum allowable charging power can be used; when 30% ≤ SOC < 80%: 50% - 80% of the maximum allowable charging power is used; when SOC ≥ 80%: 30% - 50% of the maximum allowable charging power is used.
[0079] Then, power correction is performed according to the battery temperature: For example: When T < 0°C: The charging power obtained in the first step is reduced to 30%; when 0°C ≤ T < 10°C: The charging power obtained in the first step is reduced to 50%; when 10°C ≤ T < 45°C: The charging power obtained in the first step is maintained; when T ≥ 45°C: The charging power obtained in the first step is reduced to 30% or charging is paused.
[0080] Finally, further adjustment is made based on SOH and the number of charging cycles: When SOH > 90% and the number of charging cycles < 1000 times: The current power is maintained; when 80% < SOH ≤ 90% or the number of charging cycles ≥ 1000 times: The current power is reduced to 80%; when SOH ≤ 80% or the number of charging cycles ≥ 2000 times: The current power is reduced to 60%. For example, for a battery with a low remaining charge (SOC = 20%), normal temperature (25°C), good SOH (95%), and few charging cycles (800 times), the system will set a relatively high target charging power (such as 90% of the maximum allowable charging power) to speed up the charging process. For a battery with a high remaining charge (SOC = 85%), high temperature (40°C), average SOH (85%), and many charging cycles (1500 times), the system will set a relatively low target charging power (such as 40% of the maximum allowable charging power) to protect the battery life.
[0081] This multi-parameter-based charging strategy not only takes into account the charging efficiency requirements, but also fully considers the requirements of battery safety and life protection. At the same time, the system will monitor the changes in these parameters in real time and dynamically adjust the target charging power to ensure the safety and optimization of the entire charging process. In addition, these parameter thresholds and power adjustment ratios can be flexibly adjusted according to the actual application scenarios and the characteristics of different types of batteries to achieve the best charging effect.
[0082] S62, according to the target charging power, adjust the first output power of each charging pile to obtain the second output power of each charging pile, wherein if the first output power is higher than the target charging power, reduce the first output power; if the first output power is lower than the target charging power, increase the first output power.
[0083] In one example, the system first compares each charging pile one by one. If the first output power of a charging pile is higher than the target charging power of its corresponding vehicle, the system will appropriately reduce the output power of the charging pile. This reduction can be gradual, such as adjusting 10% or 20% each time until the target charging power is reached or a threshold close to the target charging power. Reducing power can not only avoid overcharging the battery, but also release some charging resources to other vehicles in need. On the contrary, if the first output power of a charging pile is lower than the target charging power of its corresponding vehicle, the system will appropriately increase the output power of the charging pile. The process of increasing power also adopts a gradual approach to ensure system stability and safety. Increasing power can speed up charging and better meet user needs.
[0084] When making these adjustments, the system monitors the overall power in real time to ensure that the adjusted total power still meets the target power value determined previously. If the total power is found to exceed the preset range during the adjustment process, the system may need to perform secondary optimization, such as slightly reducing the power of some non-emergency charging vehicles to ensure overall power balance. In addition, the system will also take into account the hardware limitations of the charging pile to ensure that the adjusted power does not exceed the maximum output capacity of the charging pile. Through this refined adjustment based on the target charging power, the system finally obtains the second output power of each charging pile. This adjustment method can better balance individual needs and overall efficiency. It enables the charging control system to not only effectively manage the overall charging load, but also to meet the specific charging needs of each vehicle to a large extent. This intelligent adjustment strategy improves the utilization efficiency of charging resources, enhances the user's charging experience, and also ensures effective control of the grid load.
[0085] After the output power of each charging pile is adjusted to the second output power, the method further includes:
[0086] Monitor the actual output power of each charging pile; compare the actual output power with the second output power, and when the difference between the actual output power and the second output power exceeds a preset range, adjust the output power of each charging pile so that the difference between the actual output power and the second output power is within the preset range.
[0087] In one example, the system first continuously monitors the actual output power of each charging pile through a real-time communication interface with each charging pile. This monitoring is a dynamic process, and the system may collect data at a higher frequency (such as every second or every few seconds) to ensure that the power changes can be captured in time. Next, the system compares the actual output power collected in real time with the second output power set previously. The system calculates the difference between the actual output power and the second output power, and determines whether the difference exceeds the preset allowable range. This preset range may be a percentage value (such as ±5%) or a fixed power value (such as ±1kW), depending on the accuracy requirements of the system and the characteristics of the charging equipment. When the system detects that the difference between the actual output power and the second output power of a charging pile exceeds the preset range, an automatic adjustment process is triggered.
[0088] During this process, the system will adjust the output power of the charging pile accordingly according to the direction and size of the deviation. If the actual output power is lower than expected, the system will try to increase the output power; if the actual output power is higher than expected, the system will reduce the output power. This adjustment is usually made in a gradual manner to avoid sudden power changes from causing shocks to the charging system and the power grid. The system will continue to monitor and adjust until the difference between the actual output power and the second output power returns to the preset range. Through this method of dynamic monitoring and real-time adjustment, the charging control system can better cope with various changes and interferences that may occur during the charging process.
[0089] For example, it can effectively handle power deviations caused by factors such as grid fluctuations, charging equipment aging, and ambient temperature changes. This mechanism not only improves the stability and reliability of the charging process, but also ensures that the charging system can always operate according to the predetermined strategy, thereby better achieving the goals of energy management and load balancing. At the same time, this refined control is also conducive to protecting charging equipment and vehicle batteries, avoiding damage that may be caused by unstable power.
[0090] Based on the above method, the present application also discloses a charging control device for a charging pile, such as Figure 2 As shown, Figure 21 is a schematic diagram of the structure of a charging control device for a charging pile provided in an embodiment of the present application, the device comprising: a first determining module, a calculating module, a second determining module, a third determining module, a first adjusting module and a second adjusting module; wherein the first determining module is used to obtain the output power of each charging pile in the parking lot when receiving a valley-peak balancing instruction sent by a power grid dispatching center, and determine the total charging load of the parking lot according to the output power of each charging pile; the calculating module is used to calculate the difference between the total charging load and the set threshold value when the total charging load exceeds a set threshold value; the second determining module is used to obtain real-time load data and historical load data of the power grid, and adjust the total charging load of the parking lot according to the real-time load data and the historical load data. The third determination module is used to determine the target power value that needs to be adjusted in the parking lot by combining the difference and the changing trend of the power grid load; the first adjustment module is used to obtain the charging mode of the vehicle corresponding to each charging pile, and adjust the output power of each charging pile according to the target power value and the charging mode of the vehicle corresponding to each charging pile to obtain the first output power of each charging pile; the second adjustment module is used to obtain the battery status information of the vehicle corresponding to each charging pile, and adjust the first output power of each charging pile according to the battery status information of the vehicle corresponding to each charging pile to obtain the second output power of each charging pile, and adjust the output power of each charging pile to the second output power.
[0091] It should be noted that: when the device provided in the above embodiment realizes its function, only the division of the above functional modules is used as an example. In actual application, the above functions can be assigned to different functional modules as needed, that is, the internal structure of the device is divided into different functional modules to complete all or part of the functions described above. In addition, the device and method embodiments provided in the above embodiment belong to the same concept, and the specific implementation process is detailed in the method embodiment, which will not be repeated here.
[0092] See also Figure 3 , is a schematic diagram of the structure of an electronic device provided in an embodiment of the present application. Figure 3 As shown, the electronic device 1000 may include: at least one processor 1001 , at least one network interface 1004 , a user interface 1003 , a memory 1005 , and at least one communication bus 1002 .
[0093] The communication bus 1002 is used to realize the connection and communication between these components.
[0094] The user interface 1003 may include a display screen (Display) and a camera (Camera). Optionally, the user interface 1003 may also include a standard wired interface and a wireless interface.
[0095] The network interface 1004 may optionally include a standard wired interface or a wireless interface (such as a WI-FI interface).
[0096] Among them, the processor 1001 may include one or more processing cores. The processor 1001 uses various interfaces and lines to connect various parts in the entire server, and executes various functions of the server and processes data by running or executing instructions, programs, code sets or instruction sets stored in the memory 1005, and calling data stored in the memory 1005. Optionally, the processor 1001 can be implemented in at least one hardware form of digital signal processing (Digital Signal Processing, DSP), field programmable gate array (Field-Programmable Gate Array, FPGA), and programmable logic array (Programmable Logic Array, PLA). The processor 1001 can integrate one or a combination of a central processing unit (Central Processing Unit, CPU), a graphics processing unit (Graphics Processing Unit, GPU) and a modem. Among them, the CPU mainly processes the operating system, user interface and application programs; the GPU is responsible for rendering and drawing the content to be displayed on the display screen; the modem is used to process wireless communications. It can be understood that the above-mentioned modem may not be integrated into the processor 1001, and it can be implemented separately through a chip.
[0097] Among them, the memory 1005 may include a random access memory (Random Access Memory, RAM) and may also include a read-only memory (Read-Only Memory). Optionally, the memory 1005 includes a non-transitory computer-readable storage medium. The memory 1005 can be used to store instructions, programs, codes, code sets or instruction sets. The memory 1005 may include a program storage area and a data storage area, wherein the program storage area may store instructions for implementing an operating system, instructions for at least one function (such as a touch function, a sound playback function, an image playback function, etc.), instructions for implementing the above-mentioned various method embodiments, etc.; the data storage area may store data involved in the above-mentioned various method embodiments, etc. The memory 1005 may optionally also be at least one storage device located away from the aforementioned processor 1001. As Figure 3 As shown, the memory 1005 as a computer storage medium may include an operating system, a network communication module, a user interface module, and an application program of a charging control method for a charging pile.
[0098] exist Figure 3In the electronic device 1000 shown, the user interface 1003 is mainly used to provide an input interface for the user and obtain data input by the user; and the processor 1001 can be used to call an application program stored in the memory 1005 for a charging control method for a charging pile. When executed by one or more processors, the electronic device executes one or more methods described in the above embodiments.
[0099] An electronic device readable storage medium stores instructions, which, when executed by one or more processors, enable the electronic device to execute one or more of the methods described in the above embodiments.
[0100] It should be noted that, for the aforementioned method embodiments, for the sake of simplicity, they are all described as a series of action combinations, but those skilled in the art should be aware that the present application is not limited by the order of the actions described, because according to the present application, certain steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also be aware that the embodiments described in the specification are all preferred embodiments, and the actions and modules involved are not necessarily required for the present application.
[0101] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.
[0102] In the several embodiments provided in the present application, it should be understood that the disclosed devices can be implemented in other ways. For example, the device embodiments described above are only schematic, such as the division of the units, which is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some service interfaces, and the indirect coupling or communication connection of devices or units can be electrical or other forms.
[0103] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
[0104] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.
[0105] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable memory. Based on this understanding, the technical solution of the present application, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product, which is stored in a memory and includes several instructions for a computer device (which can be a personal computer, server or network device, etc.) to execute all or part of the steps of the method described in each embodiment of the present application. The aforementioned memory includes: various media that can store program codes, such as USB flash drives, mobile hard drives, magnetic disks or optical disks.
[0106] The above is only an exemplary embodiment of the present disclosure, and the scope of the present disclosure cannot be limited thereto. That is, any equivalent changes and modifications made according to the teachings of the present disclosure are still within the scope of the present disclosure. After considering the specification and practicing the disclosure here, those skilled in the art will easily think of other embodiments of the present disclosure. This application is intended to cover any modification, use or adaptation of the present disclosure, which follows the general principles of the present disclosure and includes common knowledge or customary technical means in the technical field not recorded in the present disclosure. The description and examples are only regarded as exemplary, and the scope and spirit of the present disclosure are defined by the claims.
Claims
1. A charging control method for a charging pile, characterized in that: The method comprises: When receiving a valley-peak balancing instruction sent by the power grid dispatching center, the output power of each charging pile in the parking lot is obtained, and the total charging load of the parking lot is determined according to the output power of each charging pile; When the total charging load exceeds a set threshold, calculating a difference between the total charging load and the set threshold; Acquire real-time load data and historical load data of the power grid, and determine a change trend of the power grid load according to the real-time load data and the historical load data; Determine the target power value that needs to be adjusted for the parking lot in combination with the difference and the change trend of the grid load; Determine the target power value that needs to be adjusted for the parking lot in combination with the difference and the change trend of the grid load, including: determining a first power value that needs to be adjusted for the parking lot according to the difference; adjusting the first power value according to the change trend of the grid load to obtain the target power value that needs to be adjusted for the parking lot; wherein, if the change trend of the grid load is a downward trend, reduce the first power value; if the change trend of the grid load is an upward trend, increase the first power value; Obtaining a charging mode of the vehicle corresponding to each charging pile, and adjusting the output power of each charging pile according to the target power value and the charging mode of the vehicle corresponding to each charging pile, to obtain a first output power of each charging pile; The battery status information of the vehicle corresponding to each charging pile is obtained, and the first output power of each charging pile is adjusted according to the battery status information of the vehicle corresponding to each charging pile to obtain the second output power of each charging pile, and the output power of each charging pile is adjusted to the second output power.
2. The charging control method of the charging pile according to claim 1, characterized in that: Determining the change trend of the power grid load according to the real-time load data and the historical load data includes: Determining an initial change trend of the power grid load based on the historical load data; The initial change trend is adjusted according to the real-time load data to obtain a target change trend of the power grid load, and the target change trend is determined as the change trend of the power grid load.
3. The charging control method of the charging pile according to claim 1, characterized in that: The step of adjusting the output power of each charging pile according to the target power value and the charging mode of the vehicle corresponding to each charging pile to obtain the first output power of each charging pile includes: According to the target power value, the output power of each charging pile is adjusted to obtain the initial output power of each charging pile; According to the charging mode of the vehicle corresponding to each charging pile, the initial output power of each charging pile is adjusted to obtain the first output power of each charging pile.
4. The charging control method of the charging pile according to claim 3, characterized in that: The method of adjusting the initial output power of each charging pile according to the charging mode of the vehicle corresponding to each charging pile to obtain the first output power of each charging pile includes: Determining the charging completion time of the vehicle corresponding to each charging pile according to the charging mode of the vehicle corresponding to each charging pile; Obtaining the user-set departure time of the vehicle corresponding to each charging pile; The time difference between the charging completion time and the user-set departure time is calculated, and the initial output power of each charging pile is adjusted according to the time difference to obtain the first output power of each charging pile.
5. The charging control method of the charging pile according to claim 1, characterized in that: The method of adjusting the first output power of each charging pile according to the battery status information of the vehicle corresponding to each charging pile to obtain the second output power of each charging pile includes: Determine the target charging power of the vehicle corresponding to each charging pile according to the battery status information of the vehicle corresponding to each charging pile; According to the target charging power, the first output power of each charging pile is adjusted to obtain the second output power of each charging pile, wherein if the first output power is higher than the target charging power, the first output power is reduced; if the first output power is lower than the target charging power, the first output power is increased.
6. The charging control method of the charging pile according to claim 1, characterized in that: After adjusting the output power of each charging pile to the second output power, the method further includes: Monitoring the actual output power of each charging pile; The actual output power is compared with the second output power. When the difference between the actual output power and the second output power exceeds a preset range, the actual output power of each charging pile is adjusted so that the difference between the actual output power and the second output power is within the preset range.
7. A charging control device for a charging pile, characterized in that: The device comprises: a first determination module, a calculation module, a second determination module, a third determination module, a first adjustment module and a second adjustment module; wherein, The first determination module is used to obtain the output power of each charging pile in the parking lot when receiving the valley-peak balance instruction sent by the power grid dispatching center, and determine the total charging load of the parking lot according to the output power of each charging pile; The calculation module is used to calculate the difference between the total charging load and the set threshold when the total charging load exceeds the set threshold; The second determination module is used to obtain real-time load data and historical load data of the power grid, and determine the change trend of the power grid load according to the real-time load data and the historical load data; The third determination module is used to determine the target power value that needs to be adjusted for the parking lot in combination with the difference and the change trend of the grid load; the determination of the target power value that needs to be adjusted for the parking lot in combination with the difference and the change trend of the grid load includes: determining a first power value that needs to be adjusted for the parking lot according to the difference; adjusting the first power value according to the change trend of the grid load to obtain the target power value that needs to be adjusted for the parking lot; wherein, if the change trend of the grid load is a downward trend, reducing the first power value; if the change trend of the grid load is an upward trend, increasing the first power value; A first adjustment module, used for obtaining a charging mode of a vehicle corresponding to each charging pile, and adjusting an output power of each charging pile according to the target power value and the charging mode of the vehicle corresponding to each charging pile, so as to obtain a first output power of each charging pile; The second adjustment module is used to obtain the battery status information of the vehicle corresponding to each charging pile, adjust the first output power of each charging pile according to the battery status information of the vehicle corresponding to each charging pile, obtain the second output power of each charging pile, and adjust the output power of each charging pile to the second output power.
8. An electronic device, characterized in that: It includes a processor, a memory, a user interface and a network interface, the memory is used to store instructions, the user interface and the network interface are used to communicate with other devices, and the processor is used to execute the instructions stored in the memory so that the electronic device executes the method as described in any one of claims 1-6.
9. A computer-readable storage medium, characterized in that: A computer program is stored which can be loaded by a processor and execute the method according to any one of claims 1 to 6.
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