CN119261650A

CN119261650A - A charging control method, device, equipment and storage medium for a charging pile

Info

Publication number: CN119261650A
Application number: CN202411602097.3A
Authority: CN
Inventors: 刘永; 陈宪; 赖桑愉; 麦允强
Original assignee: Guangdong Yingtong Zhilian Digital Technology Co ltd
Current assignee: Guangdong Yingtong Zhilian Digital Technology Co ltd
Priority date: 2024-11-11
Filing date: 2024-11-11
Publication date: 2025-01-07
Anticipated expiration: 2044-11-11
Also published as: CN119261650B

Abstract

The application provides a charging control method, a device, equipment and a storage medium of charging piles, which relate to the technical field of electric automobile charging, and the method comprises the steps of determining the total charging load of a parking lot according to the output power of each charging pile in the parking lot when a valley-peak balance instruction sent by a power grid dispatching center is received; the method comprises the steps of calculating a difference value between a total charging load and a set threshold value when the total charging load exceeds the set threshold value, determining a change trend of a power grid load according to real-time load data and historical load data, determining a target power value to be adjusted in a parking lot according to the difference value and the change trend of the power grid load, adjusting output power according to the target power value and a charging mode of a vehicle corresponding to each charging pile to obtain first output power, and adjusting the first output power according to battery state information of the vehicle corresponding to each charging pile to obtain second output power. The application has the technical effect of realizing balance between charging requirements and stable operation of the power grid.

Description

Charging control method, device and equipment of charging pile and storage medium

Technical Field

The application relates to the technical field of electric automobile charging, in particular to a charging control method, a charging control device, charging control equipment and a storage medium of a charging pile.

Background

With the popularization of electric vehicles in urban traffic, parking lots of large business centers and office parks are becoming important concentrated charging sites. These sites typically face peak charge demand during daytime hours, just overlapping grid load peak hours. How to avoid aggravating the load pressure of the power grid while meeting the charging requirements of a large number of electric automobiles becomes a technical problem to be solved urgently.

Existing parking lot charge management systems typically employ fixed ratio power limiting or average power methods to control the total charge load. For example, the power of all charging piles is reduced to a certain proportion uniformly during the peak period of the grid load, or the available power is distributed evenly according to the number of vehicles connected. Although the method can control the total charging load to a certain extent, the rough management mode is difficult to effectively respond to dynamic load change of the power grid, and can cause waste of power grid resources or local overload.

Disclosure of Invention

The application provides a charging control method of a charging pile, which is used for effectively responding to dynamic load change of a power grid and realizing balance between charging requirements and stable operation of the power grid.

The application provides a charging control method of a charging pile, which comprises the steps of obtaining output power of each charging pile in a parking lot when a valley-peak balance instruction sent by a power grid dispatching center is received, determining total charging load of the parking lot according to the output power of each charging pile, calculating a difference value between the total charging load and a set threshold when the total charging load exceeds the set threshold, obtaining real-time load data and historical load data of a power grid, determining a change trend of the power grid load according to the real-time load data and the historical load data, determining a target power value to be adjusted in the parking lot according to the difference value and the change trend of the power grid load, obtaining a charging mode of each charging pile corresponding to a 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, obtaining first output power of each charging pile, obtaining battery state information of each charging pile corresponding to the vehicle, adjusting the first output power of each charging pile according to the battery state information of each charging pile corresponding to the vehicle, obtaining second output power of each charging pile, and adjusting the second output power to the second output power.

By adopting the technical scheme, when the valley-peak balance instruction of the power grid dispatching center is received, the system firstly obtains the output power of each charging pile and calculates the total charging load, and if the total charging load exceeds the set threshold value, the difference is calculated. And then, the system acquires real-time and historical load data of the power grid, analyzes the load change trend, and determines a target power value to be adjusted in the parking lot by combining the difference value. And then, the system acquires a 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 the charging mode. Finally, the system further adjusts the output power by considering the battery state information of each vehicle to obtain a final output power set value. By comprehensively considering the power grid load, the vehicle charging demand and the battery condition, the dynamic optimization management of the charging load is realized, the dynamic load change of the power grid can be effectively responded, the balance between the charging demand and the stable operation of the power grid is realized, the charging demand of a user can be met to the greatest extent, the battery of the vehicle is protected, and the multiple aims of power grid stability, user satisfaction and equipment safety are achieved.

Optionally, the determining the change trend of the power grid load according to the real-time load data and the historical load data comprises determining the initial change trend of the power grid load according to the historical load data, adjusting the initial change trend according to the real-time load data to obtain the target change trend of the power grid load, and determining the target change trend as the change trend of the power grid load.

By adopting the technical scheme, the historical data reflects the long-term change rule of the power grid load, such as daily fluctuation, periodic change and the like. However, relying solely on historical data may not reflect the actual condition of the current grid in a timely manner. Therefore, the system further introduces real-time load data to adjust the initial change trend. Such adjustments may employ algorithms such as weighted averaging, exponential smoothing, or machine learning to correct the initial trend based on the degree of deviation of the real-time data. In this way, the system obtains a more accurate target trend and determines it as the final grid load trend. The method for combining the history and the real-time data not only maintains the long-term change rule, but also can quickly respond to short-term fluctuation, and improves the accuracy and the adaptability of prediction. The charging control system can more accurately predict the future power grid load condition, so that a more reasonable charging power adjustment decision is made, the power grid load is effectively balanced, and the charging efficiency is improved.

Optionally, the determining the target power value to be adjusted of the parking lot by combining the difference value and the change trend of the power grid load includes determining a first power value to be adjusted of the parking lot according to the difference value, adjusting the first power value according to the change trend of the power grid load to obtain the target power value to be adjusted of the parking lot, wherein the first power value is reduced if the change trend of the power grid load is a descending trend, and the first power value is increased if the change trend of the power grid load is an ascending trend.

By adopting the technical scheme, the system determines a preliminary first power value according to the difference value between the total charging load of the parking lot and the set threshold value, which reflects the current power value to be adjusted. However, considering only the current state may result in adjustment that is not sufficiently prospective. Therefore, a trend of the grid load is further introduced to adjust the first power value. If the grid load is in a downward trend, which indicates that the future grid pressure may decrease, the system will appropriately decrease the first power value to give more redundancy to charging, whereas if the grid load is in an upward trend, which indicates that the future grid pressure may increase, the system will increase the first power value to control the charging load to a greater extent. In this way, a target power value is finally obtained that comprehensively considers the current state and future trends. The dynamic adjustment strategy enables the charging control to have a prospective and flexible performance, can better balance the instant charging requirement and the future power grid load change, and effectively avoids the problem of excessive adjustment or insufficient adjustment, thereby realizing more intelligent and efficient charging management, meeting the charging requirement of users and being beneficial to maintaining the stable operation of the power grid.

Optionally, the 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 adjusting the output power of each charging pile according to the target power value to obtain the initial output power of each charging pile, and 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.

By adopting the technical scheme, the output power of each charging pile is initially adjusted according to the target power value to be adjusted in the parking lot, so as to obtain initial output power. This step ensures that the overall charging load of the parking lot meets the grid demand. However, a mere equalization adjustment may not meet specific charging requirements of different vehicles. Therefore, the system further considers the charging modes of the vehicles corresponding to the charging piles, such as fast charging, slow charging and the like, and performs secondary adjustment on the initial output power to finally obtain the first output power of each charging pile. The step-by-step adjustment method firstly achieves the control target of the overall power, and on the basis, the difference of individual requirements is considered. For example, for a vehicle selecting a fast charge mode, the system may allocate higher power within the allowable range, while for a vehicle in a slow charge mode, the power allocation may be reduced appropriately. The method not only ensures the balance of the power grid load, but also can better meet the charging demands of different users, and improves the user satisfaction. Meanwhile, by considering the charging mode, the system can more reasonably allocate charging resources, the overall charging efficiency is improved, the resource waste is avoided, and more intelligent and personalized charging management is realized.

Optionally, the 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 a 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 a user set departure time of the vehicle corresponding to each charging pile, calculating a 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.

By adopting the technical scheme, the estimated charging completion time is calculated according to the charging mode of the vehicle corresponding to each charging pile, and the estimated charging completion time reflects the time required for completing charging under the current power. At the same time, the system obtains the expected departure time set by the user, which represents the user's time expectations for the charging service. By calculating the difference between the charging completion time and the user-set departure time, the system can determine whether the current charging schedule can meet the user requirements. If the time difference is large, indicating that there is space for adjustment, if the time difference is small or negative, it may be necessary to increase the charging power. According to the time difference, the system correspondingly adjusts the initial output power of each charging pile to obtain first output power. The dynamic adjustment strategy based on the time difference not only can better meet the time requirements of individual users, but also can optimize the distribution efficiency of the whole charging resources.

Optionally, the adjusting the first output power of each charging pile according to the battery state information of the corresponding vehicle of each charging pile to obtain the second output power of each charging pile includes determining a target charging power of the corresponding vehicle of each charging pile according to the battery state information of the corresponding vehicle of each charging pile, adjusting the first output power of each charging pile according to the target charging power 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, and if the first output power is lower than the target charging power, the first output power is increased.

By adopting the technical scheme, the target charging power of each vehicle is determined according to the battery state information, such as battery type, capacity, current electric quantity, temperature and the like, of the corresponding vehicle of each charging pile. This step takes into account the optimal charging curves of the different batteries in different states to achieve efficient charging while protecting battery life. The system then compares and adjusts this target charging power with the previously determined first output power. If the first output power is higher than the target charging power, the system reduces the power to avoid potential damage to the battery, and if the first output power is lower than the target charging power, the power is increased within an allowable range to increase the charging efficiency. By this adjustment, the system finally obtains the second output power of each charging pile. The battery state-based fine adjustment strategy not only can ensure the safety and the efficiency of charging, but also can prolong the service life of the battery. The battery charging device avoids the problem of battery loss possibly caused by blind pursuing of high-power charging, and simultaneously prevents low charging efficiency caused by over-low power.

Optionally, after the output power of each charging pile is adjusted to the second output power, monitoring the actual output power of each charging pile, comparing the actual output power with the second output power, and adjusting the output power of each charging pile when the difference between the actual output power and the second output power exceeds a preset range, so that the difference between the actual output power and the second output power is in the preset range.

By adopting the technical scheme, a real-time monitoring and feedback mechanism is introduced after the output power adjustment of the charging pile is completed, so that the stability and the accuracy of the charging process are ensured. The system continuously monitors the actual output power of each charging pile and compares the actual output power with the set second output power. The purpose of this step is to identify and correct for power deviations that may occur, which may be caused by 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 an automatic adjustment mechanism to finely adjust the output power of the charging pile so as to enable the actual output power to return to the expected range. Such a dynamic adjustment process may involve increasing or decreasing the output power, depending on the direction and magnitude of the deviation. Through the real-time monitoring and adjusting mechanism, the system can better control the charging process, and the charging efficiency and the stability of the power grid load are ensured. The method not only improves the accuracy of the charging process, but also can quickly respond and adapt to the change of the charging environment, and reduces the problems of battery loss and unstable power grid possibly caused by power fluctuation.

The application provides a charging control device of a charging pile, which comprises 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 for obtaining output power of each charging pile in a parking lot when receiving a valley-peak balance instruction sent by a power grid dispatching center, determining total charging load of the parking lot according to the output power of each charging pile, the calculating module is used for calculating a difference value between the total charging load and a set threshold when the total charging load exceeds the set threshold, the second determining module is used for obtaining real-time load data and historical load data of a power grid, determining a change trend of the power grid load according to the real-time load data and the historical load data, the third determining module is used for combining the difference value and the change trend of the power grid load to determine a target power value required to be adjusted in the parking lot, the first adjusting module is used for obtaining a charging mode of a vehicle corresponding to each charging pile, the calculating the difference value is used for obtaining the charging pile corresponding to the charging pile, the second adjusting the charging pile is used for obtaining the charging pile corresponding to the charging pile, the charging pile corresponding to the charging pile is adjusted to the charging pile, the charging pile is output to the charging pile corresponding to the charging pile, and the charging pile is adjusted to the charging pile is corresponding to the charging pile is in the charging pile, and the charging pile is in the charging pile.

In a third aspect, the present application provides an electronic device, which adopts the following technical scheme that the electronic device includes a processor, a memory, a user interface and a network interface, wherein the memory is used for storing instructions, the user interface and the network interface are used for communicating with other devices, and the processor is used for executing the instructions stored in the memory, so that the electronic device executes a computer program of a charging control method of any one of the charging piles.

In a fourth aspect, the present application provides a computer readable storage medium storing a computer program capable of being loaded by a processor and executing any one of the charging control methods of the charging post.

In summary, the present application includes at least one of the following beneficial technical effects:

1. the dynamic load change of the power grid is effectively responded, and balance between the charging requirement and the stable operation of the power grid is realized;

2. meets the charging requirements of users and protects the vehicle battery.

Drawings

Fig. 1 is a schematic flow chart of a charging control method of a charging pile according to an embodiment of the present application;

fig. 2 is a schematic structural diagram of a charging control device for a charging pile according to an embodiment of the present application;

Fig. 3 is a schematic structural diagram of an electronic device according to an embodiment of the present application.

Reference numerals illustrate 1000, electronic devices, 1001, a processor, 1002, a communication bus, 1003, a user interface, 1004, a network interface, 1005, and a memory.

Detailed Description

In order to make the technical solutions in the present specification better understood by those skilled in the art, the technical solutions in the embodiments of the present specification will be clearly and completely described below with reference to the drawings in the embodiments of the present specification, and it is obvious that the described embodiments are only some embodiments of the present application, not all embodiments.

In describing embodiments of the present application, words such as "exemplary," "such as" or "for example" are used to mean serving as examples, illustrations or explanations. Any embodiment or design described herein as "illustrative," "such as" or "for example" is not necessarily to be construed as preferred or advantageous over other embodiments or designs. Rather, the use of words such as "illustratively," "such as" or "for example," etc., is intended to present related concepts in a concrete fashion.

The charging control method is suitable for large-scale electric automobile charging scenes, such as large-scale parking lots with a plurality of charging piles, including commercial centers, office parks, public parking lots and the like. In these scenarios, as the number of electric vehicles increases, large-scale charging behavior may impact the grid, especially during peak electricity usage periods. The traditional charging method is difficult to simultaneously meet the complex requirements, so that an intelligent and personalized charging control method capable of comprehensively considering various factors such as power grid conditions, user requirements, vehicle characteristics and the like is needed. The method not only can improve the user satisfaction and optimize the charging efficiency, but also can provide support for the stable operation of the power grid, and has important significance for the efficient operation of a large-scale electric automobile charging infrastructure and the dynamic management of the power grid load.

Fig. 1 is a schematic flow chart of a charging control method for a charging pile according to an embodiment of the present application. As shown in fig. 1, the method includes S101-S106:

And S101, when receiving a valley-peak balance instruction sent by a power grid dispatching center, obtaining the output power of each charging pile in the parking lot, and determining the total charging load of the parking lot according to the output power of each charging pile.

In this embodiment, the grid dispatching center is the central mechanism in the power system responsible for coordinating and managing the production, transmission and distribution of power. Its main important post is to ensure the stable operation of the power grid, the balance of power supply and demand and the maintenance of the power quality. In the context of smart grids, grid dispatching centers monitor and regulate grid loads in real time to cope with fluctuations in power demand and instability of new energy power generation.

The valley-peak balancing instruction is a scheduling instruction sent by a power grid scheduling center for balancing power grid loads. The purpose of such instructions is to adjust the electricity load to cope with electricity peaks (peak periods) and valleys (valley periods) in the grid.

When a charging control system in a parking lot receives a valley-peak balance instruction sent by a power grid dispatching center, output power of each charging pile in the parking lot is required to be obtained first, and the total charging load of the parking lot is determined according to the output power.

In specific implementation, the charging control system collects output power data of each charging pile in real time through a communication interface with each charging pile. The acquisition frequency can be set according to practical requirements, for example once per minute. And accumulating the collected output power of all the charging piles by the system to obtain the total charging load of the parking lot. The method can rapidly and accurately reflect the real-time electricity utilization condition of the parking lot, and is beneficial to timely responding to the valley-peak balance instruction of the power grid dispatching center by the charging control system.

S102, when the total charging load exceeds the set threshold, calculating a difference value between the total charging load and the set threshold.

S103, acquiring real-time load data and historical load data of the power grid, and determining the change trend of the power grid load according to the real-time load data and the historical load data.

In the implementation, the current power grid load data is obtained in real time through a data interface with a power grid management system. At the same time, the system also extracts the historical data of the power grid load in the past a certain period (such as the last 24 hours or the last week) from the database. The real-time load data and the historical load data are compared and analyzed, and a time sequence analysis or a machine learning algorithm (such as linear regression, ARIMA model and the like) is used for predicting the change trend of the power grid load in a short period. For example, the system may determine that the grid load is in an upward trend, a downward trend, or is steady. This trend analysis enables the charge control system to predictively adjust the charge strategy, rather than just passively responding to current conditions. If the grid load is predicted to continue to rise, the system may take more aggressive power curtailment measures, whereas if the grid load is predicted to fall, the system may gracefully relax the power limit. By the mode, the charging control system can more intelligently balance the charging requirement and the power grid load, not only can meet the charging requirement of a user, but also can contribute to the stable operation of the power grid.

On the basis of the foregoing embodiment, as an optional implementation manner, in S103, determining, according to the real-time load data and the historical load data, a trend of the power grid load specifically includes S31-S32:

s31, determining the initial change trend of the power grid load according to the historical load data.

In one example, grid load history data for a period of time (e.g., the last 24 hours, a week, or a month) is extracted from its database. The system may analyze the historical data using time series analysis methods such as moving average lines, exponential smoothing or autoregressive integrated moving average model (ARIMA), and the like. By these methods, the system is able to 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 weekends, or that the load trend in summer is significantly different from winter. Based on these analyses, the system will develop an initial trend, such as an upward trend, a downward trend, or remain steady. This initial trend provides an important frame of reference for subsequent real-time data analysis. By determining the initial change trend, the charging control system can better understand the overall change rule of the power grid load, so that powerful support is provided for subsequent real-time data analysis and decision.

S32, according to the real-time load data, the initial change trend is adjusted to obtain a target change trend of the power grid load, and the target change trend is determined to be the change trend of the power grid load.

In one example, the most current grid load data is obtained through a real-time data interface with a grid management system. These real-time data may be updated at a relatively high frequency, such as once every minute or every five minutes. The system will compare and analyze these real-time data with the initial trend of change previously derived based on historical data. The analysis method may include short term trend recognition algorithms, dynamic Time Warping (DTW) or kalman filtering techniques. By the method, the system can recognize the deviation between the real-time data and the initial trend and adjust the initial trend according to the deviation. For example, if the real-time data shows a load increase faster than the initial trend prediction, the system will increase the growth rate prediction accordingly, whereas if the real-time data shows a load increase slower, the system will decrease the growth rate prediction. The adjusted result is the target change trend of the power grid load, and the system determines the target change trend as the final power grid load change trend. The dynamic adjustment method combining the historical data and the real-time data can more accurately reflect the actual change condition of the power grid load, and meanwhile, the consideration of long-term trend is kept. In this way, the charging control system can respond to dynamic changes of the power grid load more flexibly and accurately, so that a more reasonable charging strategy is formulated. This not only improves the system's ability to accommodate sudden events or short term fluctuations, but also enhances the prospective and accuracy of charge management.

S104, determining a target power value to be adjusted in the parking lot by combining the difference value and the change trend of the power grid load.

In one example, the system first considers the magnitude of the difference, which represents the extent to which the current charge load is out of expectation. The system then analyzes this difference in combination with the trend of the grid load. For example, if the difference is large and the grid load is in an upward trend, the system may set a larger target power reduction value, whereas if the difference is small and the grid load is in a downward trend, the system may select a relatively smaller target power reduction value. The system may use preset algorithms or rules to quantify such combined analysis, such as by weighted averaging or fuzzy logic. Finally, the system will obtain a specific target power value, which indicates the total power that needs to be adjusted in the parking lot.

The target power value considers the actual condition of the current charging load and the change trend of the power grid load, so that the charging requirement and the power grid stability can be balanced better. By determining the target power value in this way, the charging control system can achieve more accurate and dynamic charging management. The method is not only beneficial to effectively responding to the valley-peak balance instruction of the power grid dispatching center, but also can meet the charging requirement of users and simultaneously reduce the impact on the power grid to the greatest extent.

On the basis of the above embodiment, as an optional implementation manner, in S104, determining the target power value to be adjusted in the parking lot by combining the difference value and the change trend of the grid load specifically includes S41-S42:

S41, determining a first power value to be adjusted in the parking lot according to the difference value.

In practice, the system directly uses the previously calculated difference as the base power amount to be adjusted. This difference represents the fraction of the current total charge load that exceeds the set threshold and is therefore reasonable as the first power value. For example, if the difference is 100kW, the system will set 100kW as the first power value to be adjusted for the parking lot. The method for directly using the difference value is simple and visual, and can quickly respond to the current charging load condition. By determining this first power value, the system lays the foundation for subsequent fine adjustment. This first power value reflects the most basic amount that needs to be adjusted, ensuring that the system is able to at least reduce the total charge load below the set threshold.

S42, adjusting the first power value according to the change trend of the power grid load to obtain a target power value to be adjusted in the parking lot, wherein the first power value is reduced if the change trend of the power grid load is a descending trend, and the first power value is increased if the change trend of the power grid load is an ascending trend.

In one example, the system first refers to a previously analyzed trend of grid load change. If the grid load is in a decreasing trend, the system will reduce the first power value appropriately, since a decrease in the grid load means that the grid has more capacity to carry the charging load. In this case, the system may multiply the first power value by an adjustment factor of less than 1, for example 0.8 or 0.9, depending on the strength of the downward trend. Conversely, if the grid load is in an upward trend, the system will increase the first power value to more actively control the charging load, avoiding aggravating the grid pressure. 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 may be determined by preset rules or algorithms that may take into account factors such as the speed and magnitude of the grid load change. Through the adjustment, the system finally obtains the target power value to be adjusted of the parking lot.

The dynamic adjustment method based on the power grid load change trend can better balance the charging requirement and the power grid stability. It enables the charge control system to respond not only to the current charge load conditions, but also predictably cope with changes in grid load. This proactive management approach helps to reduce the impact of charging loads on the grid while allowing more charging demands to be met when the grid load is low.

S105, acquiring 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 the first output power of each charging pile.

In one example, charging mode information of a vehicle to which each charging pile is currently connected is obtained through a communication interface with each charging pile. The charge mode may include a fast charge mode, a slow charge mode, an equalizing charge mode, and the like. The system may take into account the difference in power requirements for these different charging modes. For example, fast charge mode generally requires higher power, while slow charge mode may accept relatively lower power. After the information is acquired, the system adjusts the output power of each charging pile according to preset priority rules and algorithms and by combining the target power values determined before. The adjustment process may adopt methods such as proportional allocation or priority allocation, so as to ensure that the total power adjustment amount reaches the target value, and simultaneously meet the requirements of different charging modes as much as possible. After adjustment, the system obtains a first output power of each charging pile, and the power value considers both the overall power adjustment target and the charging requirement of the individual vehicle.

Based on the foregoing embodiment, as an optional implementation manner, in S105, according to the target power value and the charging mode of the vehicle corresponding to each charging pile, the adjusting the output power of each charging pile to obtain the first output power of each charging pile specifically includes S51-S52:

And 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.

In one example, the system first obtains real-time output power data for all charging piles currently being charged. Then, the system determines how to convert the target power value into specific adjustments for each charging stake according to a predetermined allocation algorithm. This allocation algorithm may be an average allocation, a proportional allocation, or a priority allocation.

For example, if the proportional distribution is adopted, the system distributes the power to be adjusted according to the proportion of the current output power of each charging pile to the total charging power in the same proportion. If the target power value indicates the total power that needs to be reduced, each charging pile will reduce its output power by a certain proportion. The system will take into account the minimum and maximum output power limits of each charging stake to ensure that the regulated power is within the allowable range. By this distribution and adjustment, the system obtains the initial output power of each charging pile.

And S52, adjusting the initial output power of each charging pile according to the charging mode of the vehicle corresponding to each charging pile, and obtaining the first output power of each charging pile.

In one example, charging mode information of a vehicle to which each charging pile is currently connected is obtained through a communication interface with each charging pile. These charging modes may include a fast charging mode, a slow charging mode, an equalizing charging mode, and the like. The system will fine tune the initial output power determined previously according to preset rules and algorithms, taking into account the characteristics and requirements of these different charging modes. For example, for a vehicle in a fast charge mode, the system may slightly increase the output power of its charge stake to meet the demand for fast charge, and for a vehicle in a slow charge mode, the system may properly decrease the output power of its charge stake to distribute more power to other more urgent vehicles. During the adjustment process, the system ensures that the overall power adjustment still meets the previously determined target power value, possibly by iterative calculations or optimization algorithms to achieve this balance.

Through the fine adjustment based on the charging mode, the system finally obtains the first output power of each charging pile. The adjustment method can better balance the charging requirements of different users and the overall power control target. It enables the charge control system to not only effectively manage the overall charge load, but also to meet the specific charge requirements of individual vehicles to some extent.

Based on the foregoing embodiment, as an optional implementation manner, in S52, according to the charging mode of the vehicle corresponding to each charging pile, the initial output power of each charging pile is adjusted, and the obtaining the first output power of each charging pile specifically includes S521-S523:

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.

In one example, the system first obtains detailed information of each charging vehicle through communication interfaces with the respective charging piles and the in-vehicle system, including a current battery remaining amount, a battery capacity, a charging mode (e.g., fast charging, slow charging, balanced charging, etc.), and a target charge amount set by a user, etc. Based on the information, the system calculates the predicted charge completion time of each vehicle by using a preset algorithm in combination with the characteristics (such as a charge curve, a maximum charge power, etc.) of each charge mode. For example, for the fast charge mode, the system may consider that there may be a higher charge power at the initial stage of charging and gradually decrease at the later stage, and for the slow charge mode, the system assumes a relatively stable charge power. The system also accounts for non-linear characteristics of battery charge during the calculation process, such as a significant decrease in charge rate near full charge. Through these detailed calculations and considerations, the system is able to derive a relatively accurate predicted charge completion time for each respective vehicle of the charging piles.

S522, obtaining user set departure time of vehicles corresponding to each charging pile.

S523, calculating a 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.

In one example, the system first obtains the predicted departure time set by each charging user through a user interface or reservation system. Then, the system compares the previously calculated predicted charge completion time with the departure time set by the user, and calculates a time difference. This time difference may be positive (indicating that the charge may be completed in advance), negative (indicating that the charge may not be completed before the user leaves the field), or zero (indicating that the charge is completed just when the user leaves the field). Based on this time difference, the system adjusts the initial output power of each charging pile.

For negative time differences, the system increases the output power of the charging pile within an allowable range to complete charging as much as possible before the user leaves the field. The magnitude of the increase may be proportional to the absolute value of the time difference, but also taking into account the maximum allowable charge power of the charging pile and the vehicle. For positive time differences, the system may reduce the output power of the charging pile appropriately to allocate excess charging resources to more demanding users, while also reducing peak loads. For the case where the time difference approaches zero, the system may keep the initial output power unchanged. In making these adjustments, the system will take into account all of the charging piles in total, ensuring that the overall power adjustment still meets the previously determined target power value, which may be required to be achieved by iterative calculations or optimization algorithms.

Through the fine adjustment based on the time difference, the system finally obtains the first output power of each charging pile. The adjustment method can better balance the time requirement of the user and the overall charging resource allocation. The charging control system can effectively manage the overall charging load and can meet the specific time requirements of individual users to a great extent.

And S106, acquiring battery state information of the vehicles corresponding to the charging piles, adjusting the first output power of each charging pile according to the battery state information of the vehicles corresponding to the charging piles to obtain second output power of each charging pile, and adjusting the output power of each charging pile to the second output power.

In one example, battery status information for each charging vehicle is obtained through a communication interface with the respective charging post and the onboard system, which may include remaining capacity of the battery, temperature, state of health, etc. The system will fine tune the previously determined first output power in accordance with the battery status information in combination with a preset battery protection and optimized charging strategy. For example, for vehicles with higher battery temperatures, the system may reduce the charge power appropriately to avoid overheating, for vehicles with a battery remaining capacity near full charge, the system may reduce the charge power to extend battery life, and for vehicles with good battery conditions and requiring rapid charging, the system may increase the charge power slightly, as far as allowed. Through these adjustments, the system obtains a second output power for each charging stake and then adjusts the actual output power for each charging stake to this new value. The battery state-based fine adjustment not only can better protect the vehicle battery and prolong the service life of the vehicle battery, but also can improve the overall charging efficiency. At the same time, since this adjustment is made on the premise of meeting the overall power target, the grid load balance is not significantly affected. The intelligent charging management method reflects importance of the system on user demands and equipment protection, not only can improve user satisfaction, but also can reduce potential negative influence of charging on vehicles.

Based on the foregoing embodiment, as an optional implementation manner, in S106, the adjusting the first output power of each charging pile according to the battery state information of the vehicle corresponding to each charging pile to obtain the second output power of each charging pile specifically includes S61-S62:

S61, determining target charging power of each charging pile corresponding to the vehicle according to the battery state information of each charging pile corresponding to the vehicle.

In one example, the system first obtains detailed battery status information for each charging vehicle through a communication interface with the respective charging post and the onboard system. The information includes key parameters such as current battery remaining power (SOC), battery temperature, battery state of health (SOH), battery charge cycle number, etc. Based on the information, the system calculates the most suitable target charging power for each vehicle in combination with a preset battery charging characteristic model and safety limits.

Specifically, the system determines a target charging power using a multi-parameter dynamic charging power adjustment model by first performing a power calculation based on a battery state of charge (SOC):

For example, SOC <30% may be 80% -100% of the maximum allowable charge power, SOC <80% 30% or less may be 50% -80% of the maximum allowable charge power, and SOC <80% or more may be 30% -50% of the maximum allowable charge power.

Then, power correction is performed according to the battery temperature, for example, T <0 ℃ is that the charging power obtained in the first step is reduced to 30%, T <10 ℃ is that the charging power obtained in the first step is reduced to 50%, T <45 ℃ is that the charging power obtained in the first step is maintained, T <45 ℃ is that the charging power obtained in the first step is reduced to 30% or charging is suspended.

Finally, further adjustment is performed based on SOH and the number of charging cycles, wherein SOH is more than 90% and the number of charging cycles is less than 1000, the current power is maintained, SOH is 80% < 90% or the number of charging cycles is more than or equal to 1000, the current power is reduced to 80%, SOH is less than or equal to 80% or the number of charging cycles is more than or equal to 2000, and the current power is reduced to 60%. For example, for a battery with a low residual charge (soc=20%), normal temperature (25 ℃) and good SOH (95%), and a small number of charge cycles (800), the system may set a high target charge power (e.g., 90% of the maximum allowable charge power) to increase the charge rate. For batteries with higher residual charge (soc=85%), higher temperature (40 ℃) and general SOH (85%), and more charge cycles (1500), the system sets a relatively low target charge power (e.g., 40% of the maximum allowable charge power) to preserve battery life.

The multi-parameter-based charging strategy not only considers the charging efficiency requirement, but also fully considers the requirements of battery safety and life protection. Meanwhile, the system can monitor the changes of the parameters in real time and dynamically adjust the target charging power so as to ensure the safety and the optimality of the whole charging process. In addition, the parameter threshold values and the power adjustment proportion can be flexibly adjusted according to actual application scenes and the characteristics of different types of batteries so as to achieve the optimal charging effect.

And S62, adjusting the first output power of each charging pile according to the target charging power to obtain the second output power of each charging pile, wherein the first output power is reduced if the first output power is higher than the target charging power, and the first output power is increased if the first output power is lower than the target charging power.

In one example, the system first compares each charging peg one by one. If the first output power of a certain charging pile is higher than the target charging power of its corresponding vehicle, the system will appropriately reduce the output power of that charging pile. This decrease may be in a gradual manner, for example by 10% or 20% each time, until the target charging power is reached or a certain threshold of the target charging power is approached. Reducing power not only avoids overcharging the battery, but also frees up a portion of the charging resources for other vehicles where needed. Conversely, if the first output power of a particular charging stake is lower than the target charging power of its corresponding vehicle, the system will increase the output power of that charging stake appropriately. The process of increasing power is also in a progressive manner to ensure system stability and safety. The charging speed can be increased by improving the power, and the user requirements can be better met.

As these adjustments are made, the system monitors the overall power in real time, ensuring that the adjusted total power still meets the previously determined target power value. If the total power is found to be outside of the preset range during the adjustment process, the system may need to be optimized secondarily, for example, to slightly reduce power to some non-emergency charged vehicles, to ensure overall power balance. In addition, the system also considers the hardware limitations of the charging stake to ensure that the adjusted power does not exceed the maximum output capability of the charging stake. Through the fine 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 charge control system to not only effectively manage the overall charge load, but also to meet the specific charge requirements of each vehicle to a great extent. The intelligent regulation strategy improves the utilization efficiency of charging resources, enhances the charging experience of users, and ensures the effective control of the power grid load.

After adjusting the output power of each charging pile to the second output power, the method further comprises:

And comparing the actual output power with the second output power, and adjusting the output power of each charging pile when the difference value of the actual output power and the second output power exceeds a preset range so as to enable the difference value of the actual output power and the second output power to be in the preset range.

In one example, the system first continuously monitors the actual output power of each charging pile through a real-time communication interface with the respective charging pile. This monitoring is a dynamic process and the system may collect data at a high frequency (e.g., every second or several seconds) to ensure that power changes are captured in a timely manner. The system then compares the real output power acquired in real time with the second output power previously set. The system calculates the difference between the actual output power and the second output power and determines whether the difference exceeds a preset allowable range. This preset range may be a percentage value (e.g., ±5%) or a fixed power value (e.g., ±1 kW), depending on the accuracy requirements of the system and the characteristics of the charging device. When the system detects that the difference value between the actual output power of a certain charging pile and the second output power exceeds a preset range, an automatic adjustment process is triggered.

In the process, the system can correspondingly adjust the output power of the charging pile according to the direction and the magnitude of the deviation. The system may attempt to increase the output power if the actual output power is below the expected value and decrease the output power if the actual output power is above the expected value. This adjustment is typically done in a gradual manner to avoid sudden power changes impacting the charging system and the grid. The system continues to monitor and adjust until the difference between the actual output power and the second output power is again within the preset range. By the dynamic monitoring and real-time adjustment method, the charging control system can better cope with various changes and interference which can occur in the charging process.

For example, it can effectively cope with power deviation due to factors such as fluctuation of the power grid, aging of charging equipment, change in ambient temperature, and the like. The mechanism not only improves the stability and reliability of the charging process, but also ensures that the charging system can always operate according to a preset strategy, thereby better realizing the targets of energy management and load balancing. At the same time, the fine control is also beneficial to protecting the charging equipment and the vehicle battery from damage possibly caused by unstable power.

Based on the method, the application further discloses a charging control device of the charging pile, as shown in fig. 2, fig. 2 is a schematic structural diagram of the charging control device of the charging pile, which is provided by the embodiment of the application, and comprises 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 for obtaining output power of each charging pile in a parking lot when receiving a valley-peak balance instruction sent by a power grid dispatching center, determining total charging load of the parking lot according to the output power of each charging pile, the calculating module is used for calculating difference between the total charging load and the set threshold when the total charging load exceeds the set threshold, the second determining module is used for obtaining real-time load data and historical load data of a power grid, determining a change trend of the power grid load according to the real-time load data and the historical load data, the third determining module is used for combining the difference and the change trend of the power grid load, the first adjusting module is used for obtaining a charging mode of each charging pile corresponding to a vehicle, the first adjusting module is used for obtaining the charging pile corresponding to the charging pile, the output power of each charging pile is used for obtaining the charging pile corresponding to the charging pile, the charging pile corresponding to the charging pile and the second adjusting vehicle, the charging pile corresponding to the charging pile is adjusted to the first charging pile corresponding to the charging pile and the charging pile corresponding to the charging pile, and the charging pile is adjusted to the charging pile corresponding to the second vehicle power.

It should be noted that, when the apparatus provided in the foregoing embodiment implements the functions thereof, only the division of the foregoing functional modules is used as an example, in practical application, the foregoing functional allocation may be implemented by different functional modules, that is, the internal structure of the device is divided into different functional modules, so as to implement all or part of the functions described above. In addition, the embodiments of the apparatus and the method provided in the foregoing embodiments belong to the same concept, and specific implementation processes of the embodiments of the method are detailed in the method embodiments, which are not repeated herein.

Referring to fig. 3, a schematic structural diagram of an electronic device is provided in an embodiment of the present application. As shown in fig. 3, 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.

Wherein the communication bus 1002 is used to enable connected communication between these components.

The user interface 1003 may include a Display screen (Display) and a Camera (Camera), and the optional user interface 1003 may further include a standard wired interface and a wireless interface.

The network interface 1004 may optionally include a standard wired interface, a wireless interface (e.g., WI-FI interface), among others.

Wherein the processor 1001 may include one or more processing cores. The processor 1001 connects various parts within the entire server using various interfaces and lines, performs various functions of the server and processes data by executing or executing instructions, programs, code sets, or instruction sets stored in the memory 1005, and calling data stored in the memory 1005. Alternatively, the processor 1001 may 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), programmable logic array (Programmable Logic Array, PLA). The processor 1001 may integrate one or a combination of several of a central processing unit (Central Processing Unit, CPU), an image processor (Graphics Processing Unit, GPU), and a modem, etc. The CPU mainly processes an operating system, a user interface, an application program and the like, the GPU is used for rendering and drawing contents required to be displayed by the display screen, and the modem is used for processing wireless communication. It will be appreciated that the modem may not be integrated into the processor 1001 and may be implemented by a single chip.

The Memory 1005 may include a random access Memory (Random Access Memory, RAM) or a Read-Only Memory (Read-Only Memory). Optionally, the memory 1005 includes a non-transitory computer readable medium (non-transitory computer-readable storage medium). The memory 1005 may be used to store instructions, programs, code, sets of codes, or sets of instructions. The memory 1005 may include a stored program area that may store instructions for implementing an operating system, instructions for at least one function (such as a touch function, a sound playing function, an image playing function, etc.), instructions for implementing the above-described respective method embodiments, etc., and a stored data area that may store data, etc., involved in the above-described respective method embodiments. The memory 1005 may also optionally be at least one storage device located remotely from the processor 1001. As shown in fig. 3, an operating system, a network communication module, a user interface module, and an application program of a charging control method of a charging pile may be included in a memory 1005 as a computer storage medium.

In the electronic device 1000 shown in fig. 3, the user interface 1003 is mainly used to provide an input interface for a user to obtain data input by the user, while the processor 1001 may be used to invoke an application program in the memory 1005 for storing a charging control method of a charging pile, which when executed by one or more processors, causes the electronic device to perform the method as described in one or more of the above embodiments.

An electronic device readable storage medium is provided, the electronic device readable storage medium stores instructions. When executed by one or more processors, cause an electronic device to perform the method as described in one or more of the embodiments above.

It should be noted that, for simplicity of description, the foregoing method embodiments are all described as a series of acts, but it should be understood by those skilled in the art that the present application is not limited by the order of acts described, as some steps may be performed in other orders or concurrently in accordance with the present application. Further, those skilled in the art will also appreciate that the embodiments described in the specification are all of the preferred embodiments, and that the acts and modules referred to are not necessarily required for the present application.

In the foregoing embodiments, the descriptions of the embodiments are emphasized, and for parts of one embodiment that are not described in detail, reference may be made to related descriptions of other embodiments.

In the several embodiments provided by the present application, it should be understood that the disclosed apparatus may be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative, such as the division of the units, merely a logical function division, and there may be additional manners of dividing the actual implementation, such as multiple units or components may be combined or integrated into another system, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be through some service interface, device or unit indirect coupling or communication connection, electrical or otherwise.

The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of 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.

In addition, each functional unit in the embodiments of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units.

The integrated units, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a computer readable memory. Based on this understanding, the technical solution of the present application may be embodied essentially or partly in the form of a software product, or all or part of the technical solution, which is stored in a memory, and includes several instructions for causing a computer device (which may be a personal computer, a server, a network device, or the like) to perform all or part of the steps of the method according to the embodiments of the present application. The memory includes various media capable of storing program codes, such as a USB flash disk, a mobile hard disk, a magnetic disk or an optical disk.

The foregoing is merely exemplary embodiments of the present disclosure and is not intended to limit the scope of the present disclosure. That is, equivalent changes and modifications are contemplated by the teachings of this disclosure, which fall within the scope of the present disclosure. Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure herein. This application is intended to cover any variations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a scope and spirit of the disclosure being indicated by the claims.

Claims

1. A charging control method of a charging pile, the method comprising:

When receiving a valley-peak balance instruction sent by a power grid dispatching center, obtaining output power of each charging pile in a parking lot, and determining the total charging load of the parking lot according to the output power of each charging pile;

When the total charging load exceeds a set threshold, calculating a difference value between the total charging load and the set threshold;

acquiring real-time load data and historical load data of a power grid, and determining the change trend of the load of the power grid according to the real-time load data and the historical load data;

combining the difference value and the change trend of the power grid load to determine a target power value to be adjusted of the parking lot;

acquiring a charging mode of a vehicle corresponding to each charging pile, and adjusting 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 first output power of each charging pile;

And acquiring battery state information of vehicles corresponding to the charging piles, adjusting the first output power of each charging pile according to the battery state information of the vehicles corresponding to the charging piles to obtain second output power of each charging pile, and adjusting the output power of each charging pile to the second output power.

2. The charging control method of the charging pile according to claim 1, wherein the determining the trend of the grid load according to the real-time load data and the historical load data includes:

According to the historical load data, determining an initial change trend of the power grid load;

And according to the real-time load data, the initial change trend is adjusted to obtain a target change trend of the power grid load, and the target change trend is determined to be the change trend of the power grid load.

3. The method for controlling charging of a charging pile according to claim 1, wherein determining the target power value to be adjusted in the parking lot by combining the difference value and the trend of the power grid load includes:

according to the difference value, determining a first power value to be adjusted in the parking lot;

And adjusting the first power value according to the change trend of the power grid load to obtain a target power value to be adjusted of the parking lot, wherein the first power value is reduced if the change trend of the power grid load is a descending trend, and the first power value is increased if the change trend of the power grid load is an ascending trend.

4. The method for controlling charging of charging piles according to claim 1, wherein 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 comprises:

According to the target power value, adjusting the output power of each charging pile to obtain the initial output power of each charging pile;

and 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.

5. The method of claim 4, wherein 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 comprises:

determining the charging completion time of the vehicles corresponding to the charging piles according to the charging modes of the vehicles corresponding to the charging piles;

Acquiring user set departure time of vehicles corresponding to each charging pile;

And 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.

6. The method for controlling charging of the charging piles according to claim 1, wherein the adjusting the first output power of each charging pile according to the battery status information of the corresponding vehicle of each charging pile to obtain the second output power of each charging pile comprises:

determining target charging power of the vehicles corresponding to the charging piles according to the battery state information of the vehicles corresponding to the charging piles;

And adjusting the first output power of each charging pile according to the target charging power to obtain the second output power of each charging pile, wherein the first output power is reduced if the first output power is higher than the target charging power, and the first output power is increased if the first output power is lower than the target charging power.

7. The method of charging control for charging piles according to claim 1, wherein after the output power of each of the charging piles is adjusted to the second output power, further comprising:

monitoring the actual output power of each charging pile;

and comparing the actual output power with the second output power, and when the difference value between the actual output power and the second output power exceeds a preset range, adjusting the output power of each charging pile so that the difference value between the actual output power and the second output power is in the preset range.

8. A charging control device of a charging pile is characterized by 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 for obtaining 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 determining the total charging load of the parking lot according to the output power of each charging pile;

the calculation module is used for calculating the difference value between the total charging load and the set threshold value when the total charging load exceeds the set threshold value;

the second determining module is used for acquiring real-time load data and historical load data of the power grid and determining the change trend of the power grid load according to the real-time load data and the historical load data;

The third determining module is used for determining a target power value to be adjusted of the parking lot by combining the difference value and the change trend of the power grid load;

The first adjusting module is used for acquiring the charging modes of the vehicles corresponding to the charging piles, and adjusting the output power of each charging pile according to the target power value and the charging modes of the vehicles corresponding to the charging piles to obtain the first output power of each charging pile;

The second adjusting module is used for acquiring battery state information of the vehicles corresponding to the charging piles, adjusting the first output power of each charging pile according to the battery state information of the vehicles corresponding to the charging piles to obtain second output power of each charging pile, and adjusting the output power of each charging pile to the second output power.

9. An electronic device comprising a processor, a memory, a user interface, and a network interface, the memory for storing instructions, the user interface and the network interface for communicating to other devices, the processor for executing the instructions stored in the memory to cause the electronic device to perform the method of any of claims 1-7.

10. A computer readable storage medium, characterized in that a computer program is stored which can be loaded by a processor and which performs the method according to any of claims 1-7.