Community charging unified construction and overall management system based on multi-user demand optimization

Abstract

The invention discloses a community charging unified construction and overall management system based on multi-user demand optimization, and relates to the technical field of charging management. The number of unoccupied charging piles is combined, and a chargeable task capable of being charged is selected; determining a charging close sequence of each chargeable task in each unoccupied charging pile, and managing each unoccupied charging pile to charge each chargeable task; therefore, when a user performs charging reservation in a future time period through the reservation platform, when the reservation platform receives too many reservation tasks at the same time and the charging piles of the community cannot meet all the charging tasks in the future time period, the receivable reservation charging tasks can be reasonably screened out according to the actual condition; the influence on the efficiency of the whole charging management process is reduced; in addition, after the receivable reserved charging tasks are determined, the charging piles can be reasonably distributed to each reserved charging task according to the actual situation, and the charging experience of the user is guaranteed.

Description

Technical Field

[0001] The present invention relates to the technical field of charging management, and in particular to a community charging integrated construction and management system based on multi-user demand optimization. Background Art

[0002] The unified construction and coordinated management of community charging based on multi-user demand optimization refers to the comprehensive scheduling and management of the charging needs of multiple electric vehicle users and charging piles in the community through an intelligent system to ensure the rational allocation and efficient use of charging resources; in order to meet the charging needs of users, some communities will set up a reservation platform or system, and users can use the platform to make reservations for charging needs in future time periods. This improves the availability of community charging services and enhances the user experience of electric vehicle users. It is part of the modern urban intelligent management system.

[0003] When a user makes a charging reservation for a future time period through the reservation platform, if the reservation platform receives too many reservation tasks at the same time, and the charging piles in the community cannot meet all the charging tasks in the future time period, if the acceptable reservation charging tasks cannot be reasonably screened out according to the actual situation, it may affect the efficiency of the entire charging management process; in addition, after determining the acceptable reservation charging tasks, if the charging piles cannot be reasonably allocated to each reservation charging task according to the actual situation, it may result in a lower charging experience for users. Summary of the invention

[0004] The purpose of the present invention is to solve the above-mentioned problems and provide a community charging integrated management system based on multi-user demand optimization.

[0005] The present invention proposes a community charging unified construction and management system based on multi-user demand optimization, and the system includes:

[0006] Charging priority module: for each scheduled charging task received by the booking platform at the same time, obtain the historical charging data of the scheduled charging vehicle corresponding to each scheduled charging task, and calculate the charging priority coefficient of each scheduled charging task based on the historical charging data;

[0007] Screening module: obtain the number of available charging piles, and select the scheduled charging tasks corresponding to the number of available charging piles as charging tasks in descending order of charging priority coefficients;

[0008] Charging closeness module: For each free charging pile, obtain the location and historical charging time of the free charging pile and the charging vehicle corresponding to each chargeable task to calculate the charging closeness coefficient between the free charging pile and each chargeable task;

[0009] Allocation management module: sort the charging density coefficients from large to small, determine the charging density order of each rechargeable task in each free charging pile, manage each free charging pile according to the charging density order of each rechargeable task in all free charging piles, and charge each rechargeable task.

[0010] Optionally, the step of calculating the charging priority coefficient of each scheduled charging task according to the historical charging data is:

[0011] Obtain the historical charging times of the scheduled charging vehicles corresponding to each scheduled charging task at the charging piles in the community, obtain the time difference between the actual charging start time and the scheduled charging start time for each charging, and calculate the average of the time differences as the charging start time deviation value;

[0012] Obtain the time difference between the actual charging end time and the scheduled charging end time during each charging, and calculate the average of the time differences as the charging end time deviation value;

[0013] Add the charging start time deviation value to the charging end time deviation value to obtain the charging time deviation value of the corresponding scheduled charging vehicle;

[0014] The charging frequency of the scheduled charging vehicles corresponding to each scheduled charging task at the charging pile in the community is obtained, and the charging loyalty coefficient of each scheduled charging task is calculated in combination with the charging time deviation value. The calculation formula is: , where is the charging loyalty coefficient of each scheduled charging task, , are respectively the charging time deviation value and the charging frequency, , They are , The preset scaling factor of , All are greater than 0;

[0015] The charging priority coefficient of each scheduled charging task is calculated according to the charging loyalty coefficient of each scheduled charging task.

[0016] Optionally, calculating the charging priority coefficient of each scheduled charging task according to the charging loyalty coefficient of each scheduled charging task includes:

[0017] Obtain the interval time from the completion of each actual charging to the start of the next actual charging in the historical charging records of the scheduled charging vehicles corresponding to each scheduled charging task at the charging piles in the community, and obtain the charging interval time sequence based on the time sequence;

[0018] Calculate the standard deviation of the charging interval time series as the charging interval instability coefficient corresponding to the scheduled charging task;

[0019] The charging priority coefficient of each scheduled charging task is calculated according to the charging loyalty coefficient and charging interval instability coefficient of each scheduled charging task.

[0020] Optionally, the step of calculating the charging priority coefficient of each scheduled charging task according to the charging loyalty coefficient and the charging interval instability coefficient of each scheduled charging task is: ;

[0021] In the formula, is the charging priority coefficient, and are the charging loyalty coefficient and the charging interval instability coefficient, and They are and The preset scaling factor of and Both are greater than 0.

[0022] Optionally, the steps of obtaining the positions and historical charging durations of the vacant charging piles and the charging vehicles corresponding to each chargeable task and calculating the charging closeness coefficient between the vacant charging piles and each chargeable task are:

[0023] For each free charging pile, obtain the number of times the charging vehicle corresponding to each rechargeable task has charged at the free charging pile, and obtain the charging time of the corresponding charging vehicle at the free charging pile during each charging, and add the charging time to obtain the cumulative charging time, and divide the cumulative charging time by the total charging time of the charging vehicle at all charging piles to obtain the charging time ratio between the free charging pile and the charging vehicle corresponding to the rechargeable task;

[0024] For each free charging pile, obtain the time interval from the last time the charging vehicle corresponding to each chargeable task completed charging at the free charging pile to the current time, and obtain the interval time between the free charging pile and the charging vehicle corresponding to the chargeable task;

[0025] The charging closeness coefficient between the free charging piles and each rechargeable task is calculated based on the cumulative charging time, charging time ratio, interval time and the position of the free charging piles and the charging vehicles corresponding to each rechargeable task.

[0026] Optionally, the step of calculating the charging closeness coefficient between the vacant charging pile and each chargeable task according to the accumulated charging time, the charging time ratio, the interval time between the vacant charging pile and the charging vehicle corresponding to the chargeable task, and the position of the vacant charging pile and the charging vehicle corresponding to each chargeable task is:

[0027] For each free charging pile, obtain the position of the free charging pile and the current position of the charging vehicle corresponding to each chargeable task, and obtain the shortest drivable distance between the two positions to obtain the shortest distance between the free charging pile and the charging vehicle corresponding to the chargeable task;

[0028] The charging closeness coefficient between the free charging piles and each rechargeable task is calculated based on the cumulative charging time, charging time ratio, interval time and shortest distance between the free charging piles and the corresponding charging vehicles of the rechargeable task. The calculation formula is: ;

[0029] In the formula, is the charging tightness factor, , , , They are the cumulative charging time, the proportion of charging time, the interval time and the shortest distance. They are , , , The preset scaling factor of Both are greater than 0.

[0030] Optionally, managing each free charging pile according to the charging order of each chargeable task in all free charging piles, and charging each chargeable task includes:

[0031] Sort the charging density coefficients of each idle charging pile and each rechargeable task in descending order to obtain the order of the rechargeable tasks corresponding to each idle charging pile, and use the first-order rechargeable task of each idle charging pile as the target rechargeable task of the idle charging pile for charging;

[0032] If a chargeable task is the first priority of several idle charging piles, the idle charging pile corresponding to the largest charging density coefficient is used as the final charging pile of the chargeable task; and each idle charging pile corresponds to one chargeable task.

[0033] Beneficial effects of the present invention:

[0034] The present invention proposes a unified management system for charging in a community based on multi-user demand optimization, which calculates the charging priority coefficients of each scheduled charging task received by the reservation platform at the same time; and selects the rechargeable task that can be charged in combination with the number of free charging piles; for each free charging pile, calculates the charging closeness coefficient between the free charging pile and each rechargeable task; determines the charging closeness order of each rechargeable task in each free charging pile according to the charging closeness coefficient, and manages each free charging pile to charge each rechargeable task according to the charging closeness order of each rechargeable task in all free charging piles; in this way, when a user makes a charging reservation for a future time period through the reservation platform, when the reservation platform receives too many reservation tasks at the same time, and the charging piles in the community cannot meet all the charging tasks in the future time period, the acceptable reserved charging tasks can be reasonably screened out according to the actual situation, thereby reducing the impact on the efficiency of the entire charging management process; in addition, after determining the acceptable reserved charging tasks, the charging piles can be reasonably allocated to each reserved charging task according to the actual situation, thereby ensuring the user's charging experience. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] The present invention will be further described below in conjunction with the accompanying drawings.

[0036] Figure 1 A framework diagram for a unified management system for charging in residential areas optimized based on multi-user needs. DETAILED DESCRIPTION

[0037] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0038] The embodiment of the present invention provides a community charging unified construction and management system based on multi-user demand optimization. Figure 1 , Figure 1 A framework diagram of a community charging integrated management system based on multi-user demand optimization provided by an embodiment of the present invention. The system includes:

[0039] Charging priority module: for each scheduled charging task received by the booking platform at the same time, obtain the historical charging data of the scheduled charging vehicle corresponding to each scheduled charging task, and calculate the charging priority coefficient of each scheduled charging task based on the historical charging data;

[0040] Screening module: obtain the number of available charging piles, and select the scheduled charging tasks corresponding to the number of available charging piles as charging tasks in descending order of charging priority coefficients;

[0041] Charging closeness module: For each free charging pile, obtain the location and historical charging time of the free charging pile and the charging vehicle corresponding to each chargeable task to calculate the charging closeness coefficient between the free charging pile and each chargeable task;

[0042] Allocation management module: sort the charging density coefficients from large to small, determine the charging density order of each rechargeable task in each free charging pile, manage each free charging pile according to the charging density order of each rechargeable task in all free charging piles, and charge each rechargeable task.

[0043] Based on the integrated construction and management system for charging in a residential area based on multi-user demand optimization provided by an embodiment of the present invention, through the above-mentioned method, when a user makes a charging reservation for a future time period through a reservation platform, when the reservation platform receives too many reservation tasks at the same time, and the charging piles in the residential area cannot fully meet the charging tasks in the future time period, the acceptable reservation charging tasks can be reasonably screened out according to the actual situation, thereby reducing the impact on the efficiency of the entire charging management process; in addition, after determining the acceptable reservation charging tasks, the charging piles can be reasonably allocated to each reservation charging task according to the actual situation, thereby ensuring the user's charging experience.

[0044] In one embodiment, the steps of calculating the charging priority coefficient of each scheduled charging task according to the historical charging data are as follows:

[0045] Obtain the historical charging times of the scheduled charging vehicles corresponding to each scheduled charging task at the charging piles in the community, obtain the time difference between the actual charging start time and the scheduled charging start time for each charging, and calculate the average of the time differences as the charging start time deviation value;

[0046] Obtain the time difference between the actual charging end time and the scheduled charging end time during each charging, and calculate the average of the time differences as the charging end time deviation value;

[0047] Add the charging start time deviation value to the charging end time deviation value to obtain the charging time deviation value of the corresponding scheduled charging vehicle;

[0048] The charging frequency of the scheduled charging vehicles corresponding to each scheduled charging task at the charging pile in the community is obtained, and the charging loyalty coefficient of each scheduled charging task is calculated in combination with the charging time deviation value. The calculation formula is: , where is the charging loyalty coefficient of each scheduled charging task, , are respectively the charging time deviation value and the charging frequency, , They are , The preset scaling factor of , All are greater than 0;

[0049] The charging priority coefficient of each scheduled charging task is calculated according to the charging loyalty coefficient of each scheduled charging task.

[0050] It should be noted that before calculating the charging loyalty coefficient of each scheduled charging task, the charging time deviation value and charging frequency of each scheduled charging task need to be removed from the unit and normalized. Commonly used normalization methods include Min-Max normalization, Z-Score normalization, etc. , It is set by professionals according to the actual situation. , The sum of is 1, for example , They can be 0.47, 0.53 or other numbers respectively. The specific values ​​depend on the actual situation and are not limited or elaborated on.

[0051] It should be noted that the various data involved in the calculation of the charging loyalty coefficient of the above-mentioned scheduled charging tasks can be obtained through the reservation platform; specifically, the platform should record the historical charging times and specific information of the charging vehicle for each scheduled charging task, including the vehicle's charging behavior and usage records; these data can be achieved through docking with the charging pile system in the community, and the platform can automatically obtain the historical charging information of the charging vehicle, such as the start and end time of each actual charging, as well as the start and end time of charging provided by the user when making a reservation, and the charging frequency; these data can be automatically recorded by the system and uploaded to the reservation platform to ensure accurate data required for the calculation of the charging loyalty coefficient.

[0052] It should be noted that when the reservation platform receives too many reservation tasks at the same time, and the charging piles in the community cannot meet all the charging tasks in the future time period, the greater the charging loyalty coefficient of the reserved charging task, the greater the probability that the corresponding reservation task will be accepted by the reservation platform, and the smaller the impact on the efficiency of the entire charging management process, because the charging behavior of these vehicles is more regular and predictable; specifically, the smaller the charging time deviation value, the more accurately the user can abide by the scheduled charging time, thereby improving the predictability of the charging process and reducing scheduling conflicts or idle time caused by inaccurate time; and the greater the charging frequency, the more frequent the user's charging needs are. Such users often have a higher urgency of charging needs, and giving priority to meeting these tasks helps to maximize the utilization of charging resources; in this way, the management system can allocate charging pile resources more efficiently during scheduling, reduce the chaos in charging management caused by uncertainty in user behavior, and ensure that the efficiency of the charging management process is maximized when resources are limited, while also providing a better user experience and avoiding waste and conflicts in system resources.

[0053] In one embodiment, calculating the charging priority coefficient of each scheduled charging task according to the charging loyalty coefficient of each scheduled charging task includes:

[0054] Obtain the interval time from the completion of each actual charging to the start of the next actual charging in the historical charging records of the scheduled charging vehicles corresponding to each scheduled charging task at the charging piles in the community, and obtain the charging interval time sequence based on the time sequence;

[0055] Calculate the standard deviation of the charging interval time series as the charging interval instability coefficient corresponding to the scheduled charging task;

[0056] The charging priority coefficient of each scheduled charging task is calculated according to the charging loyalty coefficient and charging interval instability coefficient of each scheduled charging task.

[0057] It should be noted that the charging pile system will record the start and end time of each charging. This time information can be transmitted to the reservation platform and stored through synchronization with the platform database; by querying the historical data of the charging pile system, the reservation platform can obtain the accurate timestamp from the end of each charging to the start of the next charging.

[0058] It should be noted that when the reservation platform receives too many reservation tasks at the same time, and the charging piles in the community cannot meet all the charging tasks in the future time period, the smaller the charging interval instability coefficient of the reserved charging task, the greater the probability that the corresponding reservation task will be received by the reservation platform, and the smaller the impact on the efficiency of the entire charging management process, because the smaller the charging interval instability coefficient, the more regular and stable the user's charging behavior. This means that the user's charging time interval is relatively fixed and predictable, and the system can more easily arrange and optimize the scheduling of charging piles. In contrast, users with a larger charging interval instability coefficient have more unpredictable charging behavior, which may lead to inaccurate reservation time, increase the complexity and potential conflicts of charging scheduling. This instability will lead to more idle or overused resources, waste the system's charging pile resources, and affect the overall scheduling efficiency. By giving priority to receiving reservation tasks with a smaller charging interval instability coefficient, the platform can allocate limited charging pile resources more efficiently, reduce the complexity of scheduling, and ensure the smooth operation of the charging management process, thereby improving the overall efficiency of the system, reducing interference with other tasks, and improving the user's charging experience.

[0059] In one embodiment, the steps of calculating the charging priority coefficient of each scheduled charging task according to the charging loyalty coefficient and the charging interval instability coefficient of each scheduled charging task are as follows: ;

[0060] In the formula, is the charging priority coefficient, and are the charging loyalty coefficient and the charging interval instability coefficient, and They are and The preset scaling factor of and All are greater than 0;

[0061] It should be noted that before calculating the charging priority coefficient of each scheduled charging task, the charging loyalty coefficient and the charging interval instability coefficient need to be normalized and mapped to the numerical range of [0-1]. Commonly used normalization methods include Min-Max normalization, Z-Score normalization, etc. and It is set by professionals according to the actual situation. and The sum of is 1, for example and They can be 0.5, 0.5, or other numbers respectively. The specific values ​​depend on the actual situation and are not limited or elaborated on.

[0062] In one embodiment, the number of available charging piles is obtained, and the scheduled charging tasks corresponding to the number of available charging piles are selected as the chargeable tasks in descending order of charging priority coefficients;

[0063] Obtaining the number of free charging piles is a crucial step in the charging management system, which can usually be achieved by real-time monitoring of the status of charging piles; the system will continue to track the usage of each charging pile and calculate the number of free charging piles currently; these free charging piles can be used to allocate to new appointment tasks, but since the number of charging tasks is usually large, they must be sorted according to the charging priority coefficient and the appointment charging task with the highest priority is selected as the chargeable task. For example, if the system detects that there are 4 free charging piles and the appointment platform receives 6 charging appointment tasks at the same time, it is necessary to sort them from large to small according to the charging priority coefficient of each task (such as the comprehensive evaluation results of the charging loyalty coefficient and the charging interval instability coefficient), and give priority to those tasks with higher charging priority coefficients for charging. Assuming that the charging priority coefficient of task 1 is 0.85, task 2 is 0.75, task 3 is 0.90, task 4 is 0.60, task 5 is 0.80, and task 6 is 0.70, the management system will give priority to task 1, task 2, task 3 and task 5 for charging.

[0064] In one implementation method, the advantage of filtering and receiving appointment tasks according to the charging priority coefficient in the above method is that it is possible to reasonably filter out acceptable appointment charging tasks, making the efficiency of the entire charging management process more efficient, improving the overall quality of charging services and the user's charging experience; by giving priority to appointment tasks with higher charging priority coefficients, the system can ensure that users with good historical charging performance receive priority charging services, and can identify users who use their vehicles for a long time and charge frequently, avoiding unfair allocation of resources; for example, users who charge frequently for a long time and have small charging time deviations may be more inclined to charge on time. Giving priority to their tasks can ensure that the overall charging management of the system is more orderly, avoid system inefficiency caused by improper scheduling or some users being unable to charge for a long time, thereby improving the overall operating efficiency of the charging station.

[0065] In one embodiment, for each free charging pile, the steps of obtaining the location and historical charging duration of the free charging pile and the charging vehicle corresponding to each chargeable task and calculating the charging closeness coefficient between the free charging pile and each chargeable task are as follows:

[0066] For each free charging pile, obtain the number of times the charging vehicle corresponding to each rechargeable task has charged at the free charging pile, and obtain the charging time of the corresponding charging vehicle at the free charging pile during each charging, and add the charging time to obtain the cumulative charging time, and divide the cumulative charging time by the total charging time of the charging vehicle at all charging piles to obtain the charging time ratio between the free charging pile and the charging vehicle corresponding to the rechargeable task;

[0067] For each free charging pile, obtain the time interval from the last time the charging vehicle corresponding to each chargeable task completed charging at the free charging pile to the current time, and obtain the interval time between the free charging pile and the charging vehicle corresponding to the chargeable task;

[0068] The charging closeness coefficient between the free charging piles and each rechargeable task is calculated based on the cumulative charging time, charging time ratio, interval time and the position of the free charging piles and the charging vehicles corresponding to each rechargeable task.

[0069] In one embodiment, the step of calculating the charging closeness coefficient between the free charging pile and each chargeable task according to the accumulated charging time, charging time ratio, interval time between the free charging pile and the charging vehicle corresponding to the chargeable task, and the position of the free charging pile and the charging vehicle corresponding to each chargeable task is:

[0070] For each free charging pile, obtain the position of the free charging pile and the current position of the charging vehicle corresponding to each chargeable task, and obtain the shortest drivable distance between the two positions to obtain the shortest distance between the free charging pile and the charging vehicle corresponding to the chargeable task;

[0071] The charging closeness coefficient between the free charging piles and each rechargeable task is calculated based on the cumulative charging time, charging time ratio, interval time and shortest distance between the free charging piles and the corresponding charging vehicles of the rechargeable task. The calculation formula is: ;

[0072] In the formula, is the charging tightness factor, , , , They are the cumulative charging time, the proportion of charging time, the interval time and the shortest distance. They are , , , The preset scaling factor of Both are greater than 0.

[0073] It should be noted that It is set by professionals according to the actual situation. Generally, The sum of is 1, for example They can be 0.2, 0.2, 0.25, 0.35 respectively, or other numbers, without specific limitation. In addition, before calculating the charging density coefficient between the available charging piles and each rechargeable task, it is necessary to normalize the cumulative charging time, the proportion of charging time, the interval time and the shortest distance after removing the unit, and map them to the numerical range of [0-1]. Commonly used normalization methods include Min-Max normalization, Z-Score standardization, etc. The specific selection depends on the actual situation and is not limited or elaborated.

[0074] It should be noted that when calculating the charging closeness coefficient between the free charging pile and the chargeable task, the duration of each charging between the free charging pile and the charging vehicle corresponding to the chargeable task, and the time interval from the last charging completion time of the charging vehicle corresponding to the chargeable task at the free charging pile to the current time can be obtained through the real-time communication interface with the charging pile management system and the on-board equipment. These data are usually stored in the database of the charging pile and can be queried and accessed through the API interface; secondly, the location information of the charging vehicle, including the geographic coordinates of the charging pile and the vehicle, can be obtained through GPS or other positioning systems. These location information are usually updated in real time through the on-board system of the charging vehicle or the sensor of the charging pile, and can be uploaded to the reservation platform for access;

[0075] It should be noted that when the cumulative charging time between the free charging pile and the charging vehicle corresponding to the chargeable task is longer, the charging time ratio is larger, the interval time is shorter, and the shortest distance is smaller, it means that the charging closeness coefficient between the free charging pile and the chargeable task is larger. Assigning the free charging pile to the chargeable task for charging will make the charging effect better and improve the user's charging experience. The reason is that when the cumulative charging time between the free charging pile and the charging vehicle corresponding to the chargeable task is longer, it means that the charging vehicle has a more frequent use history of the charging pile, and the charging vehicle has a higher adaptability to the charging pile, which means that the matching degree between the charging pile and the vehicle is better. The larger the proportion of charging time, the longer the charging time of the vehicle at the charging pile is, which reflects that the dependence between the vehicle and the charging pile is stronger, and the user's charging behavior at the charging pile is more stable and frequent, thereby reducing the waiting time during charging and improving the charging efficiency. In addition, the shorter the interval time, the more concentrated the charging tasks of the charging vehicle are and the higher the charging frequency is, which can improve the utilization rate of the charging pile by the vehicle and reduce the idle time of the vehicle during charging. The smaller the shortest distance, the closer the charging vehicle is to the available charging pile, which saves the moving time and energy consumption of the charging vehicle, thereby further improving the charging efficiency. In general, when these factors indicate that the relationship between the charging pile and the charging vehicle is relatively close, assigning the charging pile to the charging task can not only improve the charging efficiency and reduce the waiting time of the vehicle, but also maximize the use of the charging pile resources during the charging process, improve the user's charging experience, ensure the smoothness and satisfaction of the charging process, and thus improve the overall charging service quality.

[0076] In one embodiment, the charging compactness coefficients are sorted in descending order, the charging compactness order of each chargeable task in each free charging pile is determined, and each free charging pile is managed according to the charging compactness order of each chargeable task in all free charging piles, and charging each chargeable task includes:

[0077] Sort the charging density coefficients of each idle charging pile and each rechargeable task in descending order to obtain the order of the rechargeable tasks corresponding to each idle charging pile, and use the first-order rechargeable task of each idle charging pile as the target rechargeable task of the idle charging pile for charging;

[0078] If a chargeable task is the first priority of several idle charging piles, the idle charging pile corresponding to the largest charging density coefficient is used as the final charging pile of the chargeable task; and each idle charging pile corresponds to one chargeable task.

[0079] It should be noted that the above steps are explained as follows: For example, assume that there are three free charging piles (charging piles A, B, and C) and three rechargeable tasks (task 1, task 2, and task 3). First, the system calculates the charging closeness coefficient between each free charging pile and each task. Then, the charging closeness coefficient between each charging pile and the task is sorted from large to small to obtain the order of rechargeable tasks corresponding to each charging pile. For example, charging pile A may rank task 1 in the first order, task 3 in the second order, and task 2 in the third order; charging pile B may rank task 3 in the first order, task 2 in the second order, and task 1 in the third order; charging pile C may rank task 2 in the first order, task 1 in the second order, and task 3 in the third order; then correspondingly, charging piles A, B, and C respectively perform charging management for task 1, task 3, and task 2;

[0080] If there are multiple free charging piles with the same priority, for example, Task 1 is ranked first by both Charging Pile A and Charging Pile C, then the system will decide which charging pile to assign it to based on the charging closeness coefficient. For example, assuming that Charging Pile A and Charging Pile C have charging closeness coefficients of 0.9 and 0.85 with Task 1 respectively, the system will select the charging pile with the largest charging closeness coefficient (i.e. Charging Pile A) to perform the charging of Task 1. In this way, Task 1 will be assigned to Charging Pile A, and Charging Pile C will be reconsidered for assignment to other tasks; each free charging pile can only be assigned to one task, so through this charging closeness coefficient sorting and priority allocation mechanism, it is ensured that each free charging pile can provide services for the most suitable charging task, while avoiding resource waste and improving the user's charging experience.

[0081] In one implementation, the benefit of doing so is that, first, by calculating the charging compactness coefficient and sorting it, the system can accurately assign each charging pile to the most suitable charging task, thus avoiding waste of resources. For example, by maximizing the charging compactness coefficient strategy, the system can ensure that each free charging pile provides services for the most qualified charging task, rather than blindly assigning tasks, which greatly improves the utilization efficiency of the charging piles. In addition, this allocation mechanism can also reduce the waiting time of charging vehicles and the idle time of charging piles, further improving charging efficiency and user experience. Through accurate charging task allocation, it is possible to avoid multiple charging piles serving the same charging task at the same time, ensuring the reasonable allocation of resources, thereby improving the overall system operation efficiency and charging service quality. Ultimately, this mechanism can help optimize the management of charging piles, reduce operating costs, and improve user charging satisfaction.

[0082] The above is a detailed description of an embodiment of the present invention, but the content is only a preferred embodiment of the present invention and cannot be used to artificially limit the scope of implementation of the present invention. All equivalent changes and improvements made within the scope of the present invention should still fall within the scope of the patent coverage of the present invention.

Claims

1. A unified management system for charging in residential areas based on multi-user demand optimization, characterized by: The system comprises: Charging priority module: for each scheduled charging task received by the booking platform at the same time, obtain the historical charging data of the scheduled charging vehicle corresponding to each scheduled charging task, and calculate the charging priority coefficient of each scheduled charging task based on the historical charging data; Screening module: obtain the number of available charging piles, and select the scheduled charging tasks corresponding to the number of available charging piles as charging tasks in descending order of charging priority coefficients; Charging closeness module: For each free charging pile, obtain the location and historical charging time of the free charging pile and the charging vehicle corresponding to each chargeable task to calculate the charging closeness coefficient between the free charging pile and each chargeable task; Allocation management module: sort the charging density coefficients from large to small, determine the charging density order of each rechargeable task in each free charging pile, manage each free charging pile according to the charging density order of each rechargeable task in all free charging piles, and charge each rechargeable task.

2. The integrated management system for charging in residential areas based on multi-user demand optimization according to claim 1 is characterized in that: The steps for calculating the charging priority coefficient of each scheduled charging task based on historical charging data are as follows: Obtain the historical charging times of the scheduled charging vehicles corresponding to each scheduled charging task at the charging piles in the community, obtain the time difference between the actual charging start time and the scheduled charging start time for each charging, and calculate the average of the time differences as the charging start time deviation value; Obtain the time difference between the actual charging end time and the scheduled charging end time during each charging, and calculate the average of the time differences as the charging end time deviation value; Add the charging start time deviation value to the charging end time deviation value to obtain the charging time deviation value of the corresponding scheduled charging vehicle; The charging frequency of the scheduled charging vehicles corresponding to each scheduled charging task at the charging pile in the community is obtained, and the charging loyalty coefficient of each scheduled charging task is calculated in combination with the charging time deviation value. The calculation formula is: , where is the charging loyalty coefficient of each scheduled charging task, , are respectively the charging time deviation value and the charging frequency, , They are , The preset scaling factor of , All are greater than 0; The charging priority coefficient of each scheduled charging task is calculated according to the charging loyalty coefficient of each scheduled charging task.

3. The integrated management system for charging in residential areas based on multi-user demand optimization according to claim 2 is characterized in that: The charging priority coefficient of each scheduled charging task is calculated based on the charging loyalty coefficient of each scheduled charging task, including: Obtain the interval time from the completion of each actual charging to the start of the next actual charging in the historical charging records of the scheduled charging vehicles corresponding to each scheduled charging task at the charging piles in the community, and obtain the charging interval time sequence based on the time sequence; Calculate the standard deviation of the charging interval time series as the charging interval instability coefficient corresponding to the scheduled charging task; The charging priority coefficient of each scheduled charging task is calculated according to the charging loyalty coefficient and charging interval instability coefficient of each scheduled charging task.

4. The integrated management system for charging in residential areas based on multi-user demand optimization according to claim 3 is characterized in that: The steps for calculating the charging priority coefficient of each scheduled charging task according to the charging loyalty coefficient and charging interval instability coefficient of each scheduled charging task are as follows: ； In the formula, is the charging priority coefficient, and are the charging loyalty coefficient and the charging interval instability coefficient, and They are and The preset scaling factor of and Both are greater than 0.

5. The integrated management system for charging in residential areas based on multi-user demand optimization according to claim 1 is characterized in that: The steps of obtaining the positions and historical charging durations of the free charging piles and the charging vehicles corresponding to each chargeable task and calculating the charging closeness coefficient between the free charging piles and each chargeable task are as follows: For each free charging pile, obtain the number of times the charging vehicle corresponding to each rechargeable task has charged at the free charging pile, and obtain the charging time of the corresponding charging vehicle at the free charging pile during each charging, and add the charging time to obtain the cumulative charging time, and divide the cumulative charging time by the total charging time of the charging vehicle at all charging piles to obtain the charging time ratio between the free charging pile and the charging vehicle corresponding to the rechargeable task; For each free charging pile, obtain the time interval from the last time the charging vehicle corresponding to each chargeable task completed charging at the free charging pile to the current time, and obtain the interval time between the free charging pile and the charging vehicle corresponding to the chargeable task; The charging closeness coefficient between the free charging piles and each rechargeable task is calculated based on the cumulative charging time, charging time ratio, interval time and the position of the free charging piles and the charging vehicles corresponding to each rechargeable task.

6. The integrated management system for charging in residential areas based on multi-user demand optimization according to claim 5 is characterized in that: The steps of calculating the charging closeness coefficient between the free charging piles and each rechargeable task according to the accumulated charging time, charging time ratio, interval time and the position of the free charging piles and the charging vehicles corresponding to each rechargeable task are as follows: For each free charging pile, obtain the position of the free charging pile and the current position of the charging vehicle corresponding to each chargeable task, and obtain the shortest drivable distance between the two positions to obtain the shortest distance between the free charging pile and the charging vehicle corresponding to the chargeable task; The charging closeness coefficient between the free charging piles and each rechargeable task is calculated based on the cumulative charging time, charging time ratio, interval time and shortest distance between the free charging piles and the corresponding charging vehicles of the rechargeable task. The calculation formula is: ； In the formula, is the charging tightness factor, , , , They are the cumulative charging time, the proportion of charging time, the interval time and the shortest distance. They are , , , The preset scaling factor of Both are greater than 0.

7. The integrated management system for charging in residential areas based on multi-user demand optimization according to claim 1 is characterized in that: Managing each free charging pile according to the charging order of each rechargeable task in all free charging piles, and charging each rechargeable task includes: Sort the charging density coefficients of each idle charging pile and each rechargeable task in descending order to obtain the order of the rechargeable tasks corresponding to each idle charging pile, and use the first-order rechargeable task of each idle charging pile as the target rechargeable task of the idle charging pile for charging; If a chargeable task is the first priority of several idle charging piles, the idle charging pile corresponding to the largest charging density coefficient is used as the final charging pile of the chargeable task; and each idle charging pile corresponds to one chargeable task.

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