Community charging unified construction and overall management system optimized based on multi-user requirements

Abstract

The present invention discloses a cell charging unified construction and overall management system optimized based on multi-user requirements, which relates to the technical field of charging management. By calculating the charging priority coefficients of each reserved charging task; and combining the number of available charging piles, select the chargeable tasks that can be charged; and determine the charging tight order of each chargeable task in each available charging pile, manage each available charging pile to charge each chargeable task; in this way, when users make charging reservations for future time periods through the reservation platform, when there are too many reservation tasks received by the reservation platform at the same time and the charging piles in the community cannot fully meet the charging tasks in the future time period, it can reasonably screen out the acceptable reserved charging tasks according to the actual situation, reducing the impact on the efficiency of the entire charging management process; in addition, after determining the acceptable reserved charging tasks, it can reasonably allocate charging piles to each reserved charging task according to the actual situation, ensuring the charging experience of users.

Description

Technical Field

[0001] The present invention relates to the technical field of charging management, and particularly to a unified construction and overall management system for community charging optimized based on multi-user requirements. Background Art

[0002] The unified construction and overall management of community charging optimized based on multi-user requirements refers to the comprehensive scheduling and management of the charging requirements of multiple electric vehicle users in the community and the charging of charging piles through an intelligent system to ensure the reasonable allocation and efficient use of charging resources; in order to meet the charging requirements of users, some communities will set up a reservation platform or system, and users can make reservations for future charging requirements through the platform. In this way, the availability of community charging services is improved, and the user experience of electric vehicle users is enhanced, which is a part of the modern urban intelligent management system.

[0003] When a user makes a reservation for future charging 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 fully meet the charging tasks in the future, if the acceptable reservation charging tasks cannot be reasonably screened 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 lead to a low user charging experience. Summary of the Invention

[0004] The purpose of the present invention is to solve the above-mentioned problems and provide a unified construction and overall management system for community charging optimized based on multi-user requirements.

[0005] The present invention provides a unified construction and overall management system for community charging optimized based on multi-user requirements, and the system includes:

[0006] Charging Priority Module: For each reservation charging task received by the reservation platform at the same time, obtain the historical charging data of the reservation charging vehicle corresponding to each reservation charging task, and calculate the charging priority coefficient of each reservation charging task according to the historical charging data;

[0007] Screening Module: Obtain the number of available charging piles, and select the reservation charging tasks corresponding to the number of available charging piles in descending order of the charging priority coefficient as the rechargeable tasks;

[0008] Charging Tightness Module: For each available charging pile, obtain the positions and historical charging durations of the available charging pile and the charging vehicles corresponding to each rechargeable task, and calculate the charging tightness coefficient between the available charging pile and each rechargeable task;

[0009] Allocation management module: Sort the charging tightness coefficients in descending order, determine the charging tightness order of each rechargeable task in each available charging pile, manage each available charging pile according to the charging tightness order of each rechargeable task in all available charging piles, and charge each rechargeable task.

[0010] Optionally, the steps for calculating the charging priority coefficient of each reservation charging task based on historical charging data are as follows:

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

[0012] Obtain the time difference between the actual end charging time and the reserved end charging time each time charging, and calculate the average value 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 reservation charging vehicle;

[0014] Obtain the charging frequency of the reservation charging vehicles corresponding to each reservation charging task at the charging piles in the community, and calculate the charging loyalty coefficient of each reservation charging task in combination with the charging time deviation value. The calculation formula is: , where is the charging loyalty coefficient of each reservation charging task, , are the charging time deviation value and the charging frequency respectively, , are respectively , The preset proportionality coefficients of, and , are both greater than 0;

[0015] Calculate the charging priority coefficient of each reservation charging task based on the charging loyalty coefficient of each reservation charging task.

[0016] Optionally, calculating the charging priority coefficient of each reservation charging task based on the charging loyalty coefficient of each reservation charging task includes:

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

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

[0019] Calculate the charging priority coefficient for each reserved charging task according to the charging loyalty coefficient and the charging interval instability coefficient of each reserved charging task.

[0020] Optionally, the steps for calculating the charging priority coefficient for each reserved charging task according to the charging loyalty coefficient and the charging interval instability coefficient of each reserved charging task are as follows:

[0021] ;

[0022] In the formula, is the charging priority coefficient, and are the charging loyalty coefficient and the charging interval instability coefficient respectively, and are respectively and 's preset proportionality coefficients, and and are both greater than 0.

[0023] Optionally, the steps for obtaining the charging tightness coefficient between the idle charging piles and each chargeable task according to the positions and historical charging durations of the idle charging piles and the charging vehicles corresponding to each chargeable task are as follows:

[0024] For each idle charging pile, obtain the number of charging times of the charging vehicles corresponding to each chargeable task at this idle charging pile, and obtain the charging duration of the corresponding charging vehicle at this idle charging pile each time when charging, and add up the charging durations to obtain the cumulative charging duration, and divide the cumulative charging duration by the total charging duration of the charging vehicle at all charging piles to obtain the proportion of the charging duration between the idle charging pile and the charging vehicle corresponding to the chargeable task;

[0025] For each idle charging pile, obtain the time interval from the time when the most recent charging of the charging vehicle corresponding to each chargeable task at this idle charging pile was completed to the current time to obtain the interval time between the idle charging pile and the charging vehicle corresponding to the chargeable task;

[0026] Calculate the charging tightness coefficient between the idle charging pile and each chargeable task according to the cumulative charging duration, the proportion of the charging duration, the interval time between the idle charging pile and the charging vehicle corresponding to the chargeable task, and the positions of the idle charging pile and the charging vehicles corresponding to each chargeable task.

[0027] Optionally, the steps for calculating the charging tightness coefficient between the idle charging pile and each chargeable task according to the cumulative charging duration, the proportion of the charging duration, the interval time between the idle charging pile and the charging vehicle corresponding to the chargeable task, and the positions of the idle charging pile and the charging vehicles corresponding to each chargeable task are as follows:

[0028] For each idle charging pile, obtain the location of the idle charging pile and the current location of the charging vehicle corresponding to each rechargeable task, and obtain the shortest drivable distance between the two locations, so as to obtain the shortest distance between the idle charging pile and the charging vehicle corresponding to the rechargeable task;

[0029] Calculate the charging tightness coefficient between the idle charging pile and each rechargeable task according to the cumulative charging duration, charging duration ratio, interval time and shortest distance between the idle charging pile and the charging vehicle corresponding to the rechargeable task. The calculation formula is:

[0030] ;

[0031] In the formula, is the charging tightness coefficient, , , , are the cumulative charging duration, charging duration ratio, interval time and shortest distance respectively, are respectively , , , The preset proportionality coefficients of, and, and are all greater than 0.

[0032] Optionally, manage each idle charging pile according to the charging tightness order of each rechargeable task among all idle charging piles, and charge each rechargeable task, including:

[0033] Sort the charging tightness coefficients of each idle charging pile and each rechargeable task in descending order to obtain the rechargeable task order corresponding to each idle charging pile, and use the rechargeable task in the first order of each idle charging pile as the target rechargeable task of the idle charging pile for charging;

[0034] If a rechargeable task is in the first order of several idle charging piles, use the idle charging pile with the largest charging tightness coefficient as the final charging pile for the rechargeable task; and each idle charging pile corresponds to one rechargeable task.

[0035] The beneficial effects of the present invention:

[0036] ​The present invention proposes a cell charging unified construction and overall management system optimized based on multi-user requirements. By calculating the charging priority coefficients of each reservation charging task received by the reservation platform simultaneously; and combining the number of available charging piles, select the rechargeable tasks that can be charged; for each available charging pile, calculate the charging tightness coefficient between the available charging pile and each rechargeable task; determine the charging tightness order of each rechargeable task in each available charging pile according to the charging tightness coefficient, and manage each available charging pile to charge each rechargeable task according to the charging tightness order of each rechargeable task in all available charging piles; in this way, when a user makes a charging reservation for a future time period through the reservation platform, when there are too many reservation tasks received by the reservation platform simultaneously and the charging piles in the community cannot fully meet the charging tasks in the future time period, it can reasonably screen out the acceptable reservation charging tasks according to the actual situation, reducing the impact on the efficiency of the entire charging management process; in addition, after determining the acceptable reservation charging tasks, it can reasonably allocate charging piles to each reservation charging task according to the actual situation to ensure the charging experience of users. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] The present invention will be further described below with reference to the accompanying drawings.

[0038] Figure 1 It is a framework diagram of a cell charging unified construction and overall management system optimized based on multi-user requirements. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0039] The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0040] The embodiments of the present invention provide a cell charging unified construction and overall management system optimized based on multi-user requirements. Refer to Figure 1 , Figure 1 It is a framework diagram of a cell charging unified construction and overall management system optimized based on multi-user requirements provided by the embodiments of the present invention. The system includes:

[0041] Charging priority module: For each reservation charging task received by the reservation platform simultaneously, obtain the historical charging data of the reservation charging vehicle corresponding to each reservation charging task, and calculate the charging priority coefficient of each reservation charging task according to the historical charging data;

[0042] Screening module: Obtain the number of available charging piles, and select the reservation charging tasks corresponding to the number of available charging piles in descending order of the charging priority coefficient as the rechargeable tasks;

[0043] Charging tightness module: For each idle charging pile, obtain the positions of the idle charging piles and the charging vehicles corresponding to each rechargeable task, and calculate the charging tightness coefficient between the idle charging piles and each rechargeable task based on the historical charging duration;

[0044] Allocation and management module: Sort the charging tightness coefficients in descending order, determine the charging tightness order of each rechargeable task in each idle charging pile, manage each idle charging pile according to the charging tightness order of each rechargeable task in all idle charging piles, and charge each rechargeable task.

[0045] Based on the community charging unified construction and overall management system optimized according to the multi-user requirements provided by the embodiments of the present invention, through the above method, when a user makes a charging reservation for a future time period through a reservation platform, when there are too many reservation tasks received by the reservation platform at the same time and the charging piles in the community cannot fully meet the charging tasks in the future time period, it can reasonably screen out the acceptable reservation charging tasks according to the actual situation, reducing the impact on the efficiency of the entire charging management process; in addition, after determining the acceptable reservation charging tasks, it can reasonably allocate charging piles to each reservation charging task according to the actual situation, ensuring the charging experience of users.

[0046] In one embodiment, the steps of calculating the charging priority coefficient of each reservation charging task according to historical charging data are as follows:

[0047] Obtain the historical charging times of the reservation charging vehicles corresponding to each reservation charging task at the charging piles in the community, obtain the time difference between the actual start charging time and the reserved start charging time each time charging, and calculate the average value of the time differences as the charging start time deviation value;

[0048] Obtain the time difference between the actual end charging time and the reserved end charging time each time charging, and calculate the average value of the time differences as the charging end time deviation value;

[0049] Add the charging start time deviation value to the charging end time deviation value to obtain the charging time deviation value of the corresponding reservation charging vehicle;

[0050] Obtain the charging frequency of the reservation charging vehicles corresponding to each reservation charging task at the charging piles in the community, and calculate the charging loyalty coefficient of each reservation charging task in combination with the charging time deviation value. The calculation formula is: , where is the charging loyalty coefficient of each reservation charging task, , are the charging time deviation value and the charging frequency respectively, , are respectively , The preset proportionality coefficients of, and, and , are all greater than 0;

[0051] Calculate the charging priority coefficient for each reservation charging task according to the charging loyalty coefficient of each reservation charging task.

[0052] It should be noted that before calculating the charging loyalty coefficient of each reservation charging task, it is necessary to remove the unit and normalize the charging time deviation value and charging frequency of each reservation charging task. Common normalization methods include Min-Max normalization, Z-Score standardization, etc., , are set by professionals according to the actual situation. Generally, , the sum of is 1. For example, , can be 0.47 and 0.53 respectively, or other numbers. The specific values depend on the actual situation and are not limited and elaborated.

[0053] It should be noted that various data involved in the calculation of the charging loyalty coefficient of the above reservation charging tasks can be obtained through the reservation platform; specifically, the platform should record the historical charging times of each reservation charging task and the specific information of the charging vehicle, including the charging behavior and usage records of the vehicle; these data can be realized through the 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 times of each actual charging, as well as the start and end times 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 the accurate data required for the calculation of the charging loyalty coefficient.

[0054] 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 fully meet the charging tasks in the future time period, the greater the charging loyalty coefficient of the reservation charging task, the greater the probability that the corresponding reservation task is received by the reservation platform, and the smaller the impact on the efficiency of the entire charging management process, because the charging behaviors of these vehicles are more regular and predictable; specifically, the smaller the charging time deviation value, the more accurately the user can comply with the reserved charging time, thus 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 demand. Such users usually have a higher urgency for charging. Prioritizing these tasks helps to maximize the utilization rate of charging resources; in this way, the management system can allocate charging pile resources more efficiently during scheduling, reduce the charging management chaos caused by the uncertainty of user behavior, ensure that the efficiency of the charging management process is maximally improved under the condition of limited resources, and at the same time provide a better user experience, avoiding waste and conflicts of system resources.

[0055] In one embodiment, calculating the charging priority coefficient of each reservation charging task according to the charging loyalty coefficient of each reservation charging task includes:

[0056] Obtain the interval time from the end of each actual charging to the start of the next actual charging in the historical charging records of the reservation charging vehicles corresponding to each reservation charging task at the charging piles in the community, and obtain a charging interval time series based on the time sequence;

[0057] Calculate the standard deviation of the charging interval time series as the charging interval instability coefficient corresponding to the reservation charging task;

[0058] Calculate the charging priority coefficient of each reservation charging task according to the charging loyalty coefficient and the charging interval instability coefficient of each reservation charging task.

[0059] It should be noted that the charging pile system will record the start time and end time of each charging, and this time information can be transmitted to the reservation platform through synchronization with the platform database and stored; 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.

[0060] 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 fully meet the charging tasks in the future time period, the smaller the charging interval instability coefficient of the reservation charging task, the greater the probability that the corresponding reservation task is 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 charging behavior of the user. This means that the charging time interval of the user is relatively fixed and has strong predictability, and the system can more easily arrange and optimize the scheduling of charging piles. In contrast, for users with a larger charging interval instability coefficient, the charging behavior is more unpredictable, which may lead to inaccurate reservation times, increase the complexity of charging scheduling and potential conflicts. This instability will result in more resource idleness or overuse, waste the charging pile resources of the system, and affect the overall scheduling efficiency. By preferentially receiving reservation tasks with a smaller charging interval instability coefficient, the platform can more efficiently allocate limited charging pile resources, reduce the complexity of scheduling, ensure the smooth operation of the charging management process, thereby improving the overall efficiency of the system, reducing interference with other tasks and enhancing the charging experience of users.

[0061] In one embodiment, the steps of calculating the charging priority coefficient of each reservation charging task according to the charging loyalty coefficient and the charging interval instability coefficient of each reservation charging task are as follows:

[0062] ;

[0063] In the formula, is the charging priority coefficient, and are the charging loyalty coefficient and the charging interval instability coefficient respectively, and are respectively and 's preset proportional coefficients, and and are both greater than 0;

[0064] It should be noted that before calculating the charging priority coefficient of each reservation charging task, it is necessary to remove the unit and perform normalization processing on the charging loyalty coefficient and the charging interval instability coefficient, and map them to the numerical interval of [0-1]; common normalization processing methods include Min-Max normalization, Z-Score standardization, etc. and are set by professionals according to the actual situation. Generally, and sum to 1. For example, and can be 0.5, 0.5 respectively, or other numbers. The specific values are determined according to the actual situation and will not be limited and elaborated.

[0065] In one embodiment, the number of available charging piles is obtained, and the reservation charging tasks corresponding to the number of available charging piles are selected as rechargeable tasks in descending order of the charging priority coefficient.

[0066] Obtaining the number of available charging piles is a crucial step in the charging management system, which can usually be achieved by real-time monitoring of the charging pile status. The system continuously tracks the usage of each charging pile and calculates the current number of available charging piles. These available charging piles can be allocated to new reservation tasks. However, since the number of charging tasks is usually large, they must be sorted according to the charging priority coefficient, and the reservation charging tasks with the highest priority are selected as rechargeable tasks. For example, if the system detects that there are 4 available charging piles and the reservation platform receives 6 charging reservation tasks at the same time, it is necessary to sort them in descending order according to the charging priority coefficient of each task (such as the comprehensive evaluation result of the charging loyalty coefficient and the charging interval instability coefficient), and preferentially select the tasks with higher charging priority coefficients for charging. Suppose 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, then the management system will preferentially select Task 1, Task 2, Task 3, and Task 5 for charging.

[0067] In one implementation method, the advantage of screening the received reservation tasks according to the charging priority coefficient in the above manner is that it can reasonably screen out the receivable reservation charging tasks, making the efficiency of the entire charging management process more efficient, improving the quality of the overall charging service and the charging experience of users. By preferentially selecting the reservation tasks with higher charging priority coefficients, the system can ensure that users with good historical charging performance obtain priority charging services, identify users who use the vehicle stably for a long time and charge frequently, and avoid unfair distribution of resources. For example, users who charge frequently for a long time and have a small deviation in charging time may be more inclined to charge on time. Prioritizing their tasks can ensure that the overall charging management of the system is more orderly, avoiding situations such as low system efficiency caused by improper scheduling or some users being unable to charge for a long time, thus improving the overall operation efficiency of the charging station.

[0068] In one embodiment, for each available charging pile, the steps of calculating the charging tightness coefficient between the available charging pile and each rechargeable task by obtaining the positions and historical charging durations of the charging vehicles corresponding to the available charging pile and each rechargeable task are as follows:

[0069] For each idle charging pile, obtain the number of charging times of the charging vehicles corresponding to each rechargeable task at the idle charging pile, and obtain the charging duration of the corresponding charging vehicle at the idle charging pile each time it charges. Then sum up the charging durations to obtain the cumulative charging duration. Divide the cumulative charging duration by the total charging duration of the charging vehicle at all charging piles to obtain the proportion of the charging duration between the idle charging pile and the charging vehicle corresponding to the rechargeable task;

[0070] For each idle charging pile, obtain the time interval from the time when the last charging of the charging vehicle corresponding to each rechargeable task at the idle charging pile was completed to the current time, to obtain the interval time between the idle charging pile and the charging vehicle corresponding to the rechargeable task;

[0071] Calculate the charging tightness coefficient between the idle charging pile and each rechargeable task according to the cumulative charging duration, charging duration proportion, interval time between the idle charging pile and the charging vehicle corresponding to the rechargeable task, and the positions of the idle charging pile and the charging vehicles corresponding to each rechargeable task.

[0072] In one embodiment, the steps of calculating the charging tightness coefficient between the idle charging pile and each rechargeable task according to the cumulative charging duration, charging duration proportion, interval time between the idle charging pile and the charging vehicle corresponding to the rechargeable task, and the positions of the idle charging pile and the charging vehicles corresponding to each rechargeable task are as follows:

[0073] For each idle charging pile, obtain the position of the idle charging pile and the current positions of the charging vehicles corresponding to each rechargeable task, and obtain the shortest drivable distance between the two positions, to obtain the shortest distance between the idle charging pile and the charging vehicle corresponding to the rechargeable task;

[0074] Calculate the charging tightness coefficient between the idle charging pile and each rechargeable task according to the cumulative charging duration, charging duration proportion, interval time, and shortest distance between the idle charging pile and the charging vehicle corresponding to the rechargeable task. The calculation formula is:

[0075] ;

[0076] In the formula, is the charging tightness coefficient, , , , are the cumulative charging duration, charging duration proportion, interval time, and shortest distance respectively, are respectively , , , The preset proportional coefficients of, and are all greater than 0. And are all greater than 0.

[0077] It should be noted that It is set by professionals according to the actual situation. Generally, The sum is 1. For example, They can be 0.2, 0.2, 0.25, 0.35 respectively, or other numbers, which are not specifically limited; in addition, before calculating the charging tightness coefficient between the idle charging piles and each rechargeable task, the cumulative charging duration, the proportion of charging duration, the interval time, and the shortest distance need to be normalized after removing the units and mapped to the numerical interval of [0 - 1]; common normalization methods include Min - Max normalization, Z - Score standardization, etc., and the specific selection depends on the actual situation, which is not limited and elaborated.

[0078] It should be noted that when calculating the charging tightness coefficient between the idle charging piles and the rechargeable tasks, the charging duration of each charge between the idle charging piles and the charging vehicles corresponding to the rechargeable tasks, and the time interval from the time when the charging vehicle corresponding to the rechargeable task completed the last charge at the nearest idle charging pile to the current time can be obtained through the real - time communication interface with the charging pile management system and in - vehicle 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 geographical 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 in - vehicle system of the charging vehicle or the sensors of the charging pile, and can be uploaded to the reservation platform for access;

[0079] It should be noted that the longer the cumulative charging duration, the larger the charging duration ratio, the shorter the interval time, and the smaller the shortest distance between the idle charging pile and the rechargeable vehicle corresponding to the rechargeable task, the greater the charging tightness coefficient between the idle charging pile and the rechargeable task. Assigning the idle charging pile to the rechargeable task for charging will result in better charging effect and improved user charging experience. The reasons are as follows: When the cumulative charging duration between the idle charging pile and the rechargeable vehicle corresponding to the rechargeable task is longer, it indicates that the rechargeable vehicle has a relatively frequent usage history at this charging pile, and the adaptability of the rechargeable vehicle to this charging pile is relatively high, meaning that the matching degree between the charging pile and the vehicle is relatively good. And the larger the charging duration ratio, it indicates that the charging time of the vehicle at this charging pile is relatively long, reflecting a relatively strong dependence relationship between the vehicle and the charging pile, and the charging behavior of the user at this charging pile is more stable and frequent, thus reducing the waiting time during charging and improving the charging efficiency. In addition, the shorter the interval time, it indicates that the charging tasks of the rechargeable vehicle are relatively concentrated and the charging frequency is relatively high, which can improve the utilization rate of the charging pile by the vehicle and reduce the idle time of the vehicle during the charging process. The smaller the shortest distance, it indicates that the rechargeable vehicle is closer to the idle charging pile, saving the moving time and energy consumption of the rechargeable vehicle, thus further improving the charging efficiency. Generally speaking, when all these factors indicate that the relationship between the charging pile and the rechargeable vehicle is relatively close, assigning the charging pile to the rechargeable task can not only improve the charging efficiency, reduce the waiting time of the vehicle, but also maximize the utilization 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.

[0080] In one embodiment, sorting the charging tightness coefficients in descending order to determine the charging tightness order of each rechargeable task in each idle charging pile, and managing each idle charging pile according to the charging tightness order of each rechargeable task in all idle charging piles, and charging each rechargeable task includes:

[0081] Sorting the charging tightness coefficient orders of each idle charging pile and each rechargeable task in descending order to obtain the rechargeable task order corresponding to each idle charging pile, and taking the rechargeable task in the first order of each idle charging pile as the target rechargeable task of this idle charging pile for charging;

[0082] If a rechargeable task is in the first order of several idle charging piles, taking the idle charging pile with the largest charging tightness coefficient as the final charging pile for this rechargeable task; and each idle charging pile corresponds to one rechargeable task.

[0083] It should be noted that the above steps are described as follows: For example, assume there are three idle charging piles (Charging Pile A, B, and C) and three rechargeable tasks (Task 1, Task 2, and Task 3). First, the system calculates the charging tightness coefficient between each idle charging pile and each task. Then, the charging tightness coefficients of each charging pile and task are sorted from largest to smallest to obtain the rechargeable task order corresponding to each charging pile. For example, Charging Pile A may rank Task 1 first, Task 3 second, and Task 2 third; Charging Pile B may rank Task 3 first, Task 2 second, and Task 1 third; Charging Pile C may rank Task 2 first, Task 1 second, and Task 3 third; correspondingly, Charging Piles A, B, and C respectively manage the charging for Tasks 1, 3, and 2;

[0084] If the first order of multiple idle charging piles points to the same task, for example, Task 1 is ranked first by both Charging Pile A and Charging Pile C at the same time, then the system will determine which charging pile to finally allocate according to the charging tightness coefficient. For example, assume the charging tightness coefficients of Charging Pile A and Charging Pile C with Task 1 are 0.9 and 0.85 respectively, and the system will select the charging pile with the largest charging tightness coefficient (i.e., Charging Pile A) to execute the charging of Task 1. In this way, Task 1 will be allocated to Charging Pile A, and Charging Pile C will be reconsidered for allocation to other tasks; each idle charging pile can only be allocated to one task. Therefore, through this charging tightness coefficient sorting and priority allocation mechanism, it is ensured that each idle charging pile can provide services for the most suitable charging task, while avoiding resource waste and improving the charging experience of users.

[0085] In one implementation method, the advantages of doing so are as follows: First, by calculating and sorting the charging tightness coefficient, the system can accurately allocate each charging pile to the most suitable charging task, avoiding resource waste. For example, through the strategy of maximizing the charging tightness coefficient, the system can ensure that each idle charging pile provides services for the most qualified charging task, rather than blindly allocating tasks, greatly improving the utilization efficiency of the charging pile. In addition, this allocation mechanism can also reduce the waiting time of charging vehicles and the idle time of charging piles, further improving the 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. Finally, this mechanism can help optimize the management of charging piles, reduce operating costs, and improve the charging satisfaction of users.

[0086] The above has described in detail 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. Any equivalent changes and improvements made according to the scope of the application of the present invention shall still fall within the scope covered by the patent of the present invention.

Claims

1. A cell charging unified construction and overall management system optimized based on multi-user requirements, characterized in that, The system includes: A charging priority module: For each reservation charging task received by the reservation platform simultaneously, obtain the historical charging data of the reservation charging vehicle corresponding to each reservation charging task, and calculate the charging priority coefficient of each reservation charging task according to the historical charging data; A screening module: Obtain the number of available charging piles, and select the reservation charging tasks corresponding to the number of available charging piles in descending order of the charging priority coefficient as the rechargeable tasks; A charging closeness module: For each available charging pile, obtain the positions of the available charging pile and the charging vehicles corresponding to each rechargeable task and the historical charging duration, and calculate the charging closeness coefficient between the available charging pile and each rechargeable task; An allocation management module: Sort the charging closeness coefficients in descending order, determine the charging closeness order of each rechargeable task in each available charging pile, and manage each available charging pile according to the charging closeness order of each rechargeable task in all available charging piles, and charge each rechargeable task; The steps for calculating the charging priority coefficient of each reservation charging task according to the historical charging data are as follows: Obtain the historical charging times of the reservation charging vehicles corresponding to each reservation charging task at the charging piles in the community, obtain the time difference between the actual start charging time and the reserved start charging time each time charging, and calculate the average value of the time differences as the charging start time deviation value; Obtain the time difference between the actual end charging time and the reserved end charging time each time charging, and calculate the average value 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 reservation charging vehicle; Obtain the charging frequency of the reserved charging vehicles corresponding to each reserved charging task at the charging piles in the community, and calculate the charging loyalty coefficient of each reserved charging task in combination with the charging time deviation value. The calculation formula is: , where is the charging loyalty coefficient of each reserved charging task, and are the charging time deviation value and the charging frequency respectively, and are respectively and 's preset proportionality coefficients, and and are both greater than 0; 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 reservation charging vehicles corresponding to each reservation charging task at the charging piles in the community, and obtain the charging interval time series based on the time sequence; Calculate the standard deviation of the charging interval time series as the charging interval instability coefficient of the corresponding reservation charging task; The steps for calculating the charging priority coefficient of each reservation charging task according to the charging loyalty coefficient and the charging interval instability coefficient of each reservation charging task are as follows: ； Wherein, is the charging priority coefficient, and are the charging loyalty coefficient and the charging interval instability coefficient respectively, and are respectively and preset proportionality coefficients, and and are both greater than 0; For each available charging pile, obtain the position of the available charging pile and the current position of the charging vehicle corresponding to each rechargeable task, and obtain the shortest drivable distance between the two positions to obtain the shortest distance between the available charging pile and the charging vehicle corresponding to the rechargeable task; Calculate the charging closeness coefficient between the available charging pile and each rechargeable task according to the cumulative charging duration, charging duration ratio, interval time and shortest distance between the available charging pile and the charging vehicle corresponding to the rechargeable task. The calculation formula is: ； In the formula, is the charging tightness coefficient, , , , are respectively the cumulative charging duration, the proportion of charging duration, the interval time, and the shortest distance, are respectively , , , 's preset proportionality coefficients, and are all greater than 0.

2. The cell charging unified construction and overall management system optimized based on multi-user requirements according to claim 1, characterized in that, The steps for obtaining the positions of the available charging pile and the charging vehicles corresponding to each rechargeable task and the historical charging duration and calculating the charging closeness coefficient between the available charging pile and each rechargeable task are as follows: For each available charging pile, obtain the number of charging times of the charging vehicles corresponding to each rechargeable task at the available charging pile, and obtain the charging duration of the corresponding charging vehicle at the available charging pile each time it is charged. Then sum up the charging durations to obtain the cumulative charging duration, and divide the cumulative charging duration by the total charging duration of the charging vehicle at all charging piles to obtain the proportion of the charging duration between the available charging pile and the charging vehicle corresponding to the rechargeable task; For each available charging pile, obtain the time interval from the time when the last charging of the charging vehicle corresponding to each rechargeable task at the available charging pile was completed to the current time, to obtain the interval time between the available charging pile and the charging vehicle corresponding to the rechargeable task; Calculate the charging tightness coefficient between the available charging pile and each rechargeable task according to the cumulative charging duration, the proportion of the charging duration, the interval time between the available charging pile and the charging vehicle corresponding to the rechargeable task, and the positions of the available charging pile and the charging vehicles corresponding to each rechargeable task.

3. The cell charging unified construction and overall management system optimized based on multi-user requirements according to claim 1, characterized in that, Manage each available charging pile according to the charging tightness order of each rechargeable task among all available charging piles, and charge each rechargeable task, including: Sort the charging tightness coefficients of each available charging pile and each rechargeable task in descending order to obtain the rechargeable task order corresponding to each available charging pile. Take the rechargeable task in the first order of each available charging pile as the target rechargeable task for charging the available charging pile; If a rechargeable task is in the first order of several available charging piles, take the available charging pile with the largest charging tightness coefficient as the final charging pile for the rechargeable task; and each available charging pile corresponds to one rechargeable task.

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