Electric vehicle intelligent charging management system and method based on energy exchange fusion

Abstract

The invention relates to the technical field of electric vehicle charging, in particular to an electric vehicle intelligent charging management system and method based on energy exchange fusion, and the charging management method comprises the following steps: S1, when a reservation request sent by a user to a certain charging region is received, the charging region is marked as a designated charging region; s2, acquiring a historical reservation record of a specified charging area, and analyzing the historical reservation record to obtain an occupancy coefficient of each to-be-selected charging pile; and S3, extracting a historical charging record of the to-be-selected charging pile, calculating an idle value of the to-be-selected charging pile, and recommending the appointed and reserved charging pile to the user according to the idle value and the occupancy coefficient. According to the embodiment of the invention, when the reservation request is received, the charging piles in the specified charging area are analyzed, and the to-be-selected charging piles suggested to be reserved are recommended according to the reservation information of the user, so that the situation that the charging parking spaces are occupied after the user performs reservation is reduced, and the charging experience of the user and the benefits of the charging piles are ensured.

Description

Technical Field

[0001] The present invention relates to the technical field of electric vehicle charging, and specifically to an intelligent charging management system and method for electric vehicles based on energy and transportation integration. Background Art

[0002] Electric vehicles use electricity as energy. When the battery level is low, it is necessary to charge them in time to ensure that they can be driven. Currently, the charging devices are set in the parking lots in public areas. The parking spaces with charging devices are charging spaces. Generally, these charging spaces restrict fuel vehicles to prevent them from occupying the spaces. However, some electric vehicles do not charge, or they do not drive their electric vehicles away after charging, but occupy the charging spaces, resulting in the ineffective use of charging equipment, increasing the configuration cost of charging equipment and wasting the charging site. And because the occupation of charging spaces is a random event, the management personnel of the parking lot cannot find out in time that the charging spaces are occupied. Moreover, there are a large number of vehicles in the parking lot, and the management personnel cannot accurately judge the positions of the occupied charging spaces, resulting in management mistakes and affecting the efficiency of the charging piles.

[0003] Currently, the charging piles have a reservation system, that is, users can reserve the charging piles that are in an unused state during the reserved time period. However, although a certain charging pile is in a reservable state on the reservation system, in actual situations, the charging space corresponding to this charging pile may be occupied. In this way, even if the car owner reserves the charging space in advance, when arriving at the charging area, it will be found that the charging space is occupied by other electric vehicles that are not charging, affecting the charging time of the reserved car owner. As a result, due to the inability to recommend a suitable charging pile to the user, the user cannot use the charging pile according to the reserved time, reducing the efficiency of the charging pile. Summary of the Invention

[0004] The purpose of the present invention is to provide an intelligent charging management system and method for electric vehicles based on energy and transportation integration to solve the problems raised in the prior art.

[0005] To achieve the above purpose, the present invention provides the following technical solution: An intelligent charging management method for electric vehicles based on energy and transportation integration, the charging management method includes the following steps: Step S1: Divide several charging areas. When a reservation request is received from a user for a certain charging area, mark this charging area as the designated charging area, and mark the charging piles in the designated charging area that meet the user's reservation request as the to-be-selected charging piles; Step S2: Obtain the historical reservation records of the designated charging area, and obtain the occupancy coefficients of each to-be-selected charging pile by analyzing the historical reservation records; Step S3: Extract the historical charging records of the to-be-selected charging piles, calculate the idle value of the to-be-selected charging piles, and recommend the specified reserved charging piles to the user according to the idle value and the occupancy coefficient; Step S4: If there are no recommended specified reserved charging piles in the current specified charging area, recommend alternative charging areas to the user, and there are charging piles in the alternative charging areas that meet the user's needs.

[0006] The said Step S1 includes: Step S101: Obtain the geographical locations of all charging piles in the same parking lot, as well as the charging bays corresponding to each charging pile, divide the continuously adjacent charging bays into the same charging area, and obtain several charging areas; Step S102: After the user selects a certain charging area, mark this charging area as the specified charging area, and the user sends a reservation request to the specified charging area. The reservation request includes the specified charging pile type to be reserved and the reserved charging period. The charging pile types include fast charging piles and slow charging piles; Step S103: Obtain the charging status of all charging piles in the specified charging area. The charging status includes being used and not being used. Mark the charging piles in the not-being-used charging status as idle charging piles, and mark the charging piles in the being-used charging status as working charging piles; Step S104: Obtain the working periods of the working charging piles. If the working period does not coincide with the reserved charging period, use this working charging pile and the idle charging piles as the to-be-selected charging piles.

[0007] The said Step S2 includes: Step S201: Take a reservation request as a reservation record, obtain the historical reservation record data of the specified charging area. The historical reservation record is the reservation record that has made a feedback on the reservation request. Each historical reservation record includes the reserved charging pile number, the reserved time period, and the reservation result. Obtain the reservation result corresponding to each historical reservation record. The reservation result includes reservation success and reservation failure. The reservation success means charging according to the information of the reservation request, and the reservation failure means not charging according to the information of the reservation request; Step S202: Collect the failure reasons feedback by all the reservation records with reservation failure. The failure reasons include the user changing the charging plan and the charging bay being occupied. Take the reservation records corresponding to the failure reason of the charging bay being occupied as the target records. Obtain the corresponding reserved charging pile numbers in the target records. Denote the total number of the target records with the same reserved charging pile number as Q, and denote the occupancy coefficient of the to-be-selected charging piles as L. Calculate the occupancy coefficient through the following formula: L i =(A / b)*(Q / c), where L iIndicates the occupancy coefficient of the i-th charging pile to be selected. A represents the number of reservation records that have not been successfully reserved in the specified charging area. b represents the number of reservation records that have been successfully reserved in the specified charging area. c represents the number of reservation records for which the failure reason for all unsuccessful reservations is that the charging space is occupied.

[0008] The step S3 includes: Step S301: Obtain the historical charging records of the charging pile to be selected. The historical charging records include the charging period and the idle time period. The charging period represents the time period for a charging order of a certain charging pile to be selected, and the idle time period represents the time period when a certain charging pile does not have a charging order. Taking 24h as a cycle, divide it into j cycles, obtain all the idle time periods of a certain charging pile to be selected in each cycle, extract a certain idle time period as the target analysis time period, obtain the charging status of other charging piles in the specified charging area within the target analysis time period, and calculate the status ratio K. The calculation formula is K = k1 / k2, where K is the status ratio of the charging pile to be selected within the target analysis time period, k1 is the number of charging piles not in use in the specified charging area within the target analysis time period, and k2 is the number of charging piles in use in the specified charging area within the target analysis time period; Step S302: Obtain the charging order records of all the charging piles in use in the specified charging area within the target analysis time period, and record the total number of charging order records as W 总 , the charging order record includes the order end time and the order start time. Obtain the interval duration between the order end time of the previous charging order record and the order start time of the next charging order record and record it as T. Set the interval duration threshold T 阈 , extract the record number where the interval duration T < the interval duration threshold T 阈 and record it as W. Calculate the occupied value η of the target analysis time period. The calculation formula is: η = K * (W / W 总 ). If the occupied value is greater than the set occupied threshold, it is determined that an occupancy event occurs for the charging pile to be selected within the target analysis time period, and extract the target analysis time period into the target set; Step S303: Divide the 24h cycle into several time periods H with a time interval s as the duration, forming an interval set = {H1, H2, H3......H f}}, where H1, H2, H3......H f represent the first time interval, the second time interval, the third time interval...... the f-th time interval in sequence; Obtain the number of occupancy events g that occur within a certain time interval H in the target set, and calculate the occupancy rate μ of this time interval. The calculation formula is μ f = g / G, where μ fThe occupancy rate representing the f-th time interval, and G represents the number of all occupancy events within the target set; Step S304: Mark the reservation time period as [t1, t2], where t1 is the start time of the reservation time period and t2 is the end time of the reservation time period. Denote the duration of the reservation time period as Tx, and obtain the corresponding time interval H within this reservation time period. If the reservation time period completely covers the time interval H, take the occupancy rate corresponding to this time interval as μ. If the reservation time does not completely cover the time interval H, then take the occupancy rate corresponding to this time interval as (μ / 2). Calculate the idle value Z of the charging pile to be selected within the reservation time period. The calculation formula is Z = e -（μ1+μ2+μ3......μf） ; Step S305: Add the occupancy coefficient L and the idle value Z to obtain the sorting value, and recommend the charging pile to be selected corresponding to the largest sorting value to the user.

[0009] The said step S4 includes: Taking the current specified charging area as the center point, obtaining all alternative charging areas within the circular range with a radius of R, excluding those where all the charging piles in the alternative charging areas are in use, obtaining the positions of the remaining alternative charging areas, calculating the path distance between the alternative charging areas and the specified charging area, and outputting and recommending to the user the alternative charging area with the shortest path distance.

[0010] An intelligent charging management system for electric vehicles based on energy and transportation integration, which applies an intelligent charging management method for electric vehicles based on energy and transportation integration. The electric vehicle intelligent charging management system has a reservation module and a recommendation module. The reservation module is used to send a reservation request, and the recommendation module is used to recommend a specified reserved charging pile to the user according to the reservation request.

[0011] The reservation module includes a region division unit and a reservation information selection unit. The region division unit is used to divide several charging areas, and when receiving a reservation request, mark the charging area as the specified charging area; the reservation information selection unit is used to input the desired reservation time period and the type of reserved charging pile of the user.

[0012] The recommendation module includes a historical occupancy record analysis unit, an occupancy prediction analysis unit, a charging pile recommendation unit, and an alternative charging area recommendation unit; The historical occupancy record analysis unit is used to obtain the historical reservation records of the specified charging area and obtain the occupancy coefficients of each charging pile to be selected by analyzing the historical reservation records; The occupancy prediction analysis unit is used to extract the historical charging records of the charging pile to be selected and calculate the idle value of the charging pile to be selected; The charging pile recommendation unit is used to recommend the specified reserved charging pile to the user according to the idle value and the occupancy coefficient; The alternative charging area recommendation unit is used to recommend an alternative charging area to the user when there is no recommended designated reservation charging pile in the current designated charging area, and there are charging piles that meet the user's needs in the alternative charging area.

[0013] Compared with the prior art, the beneficial effects of the present invention are as follows: When receiving a reservation request, the present invention can analyze the charging piles in the designated charging area, obtain the historical reservation records of the designated charging area, obtain the occupancy coefficients of each charging pile to be selected by analyzing the historical reservation records, then extract the historical charging records of the charging piles to be selected, calculate the idle values of the charging piles to be selected, recommend the designated reservation charging piles to the user according to the idle values and occupancy coefficients, and recommend the charging piles to be selected for the recommended reservation according to the user's reservation information, reducing the situation that the charging space is occupied after the user makes a reservation, and ensuring the user's charging experience and the efficiency of the charging piles. Description of the Drawings

[0014] Figure 1 It is a schematic flowchart of a method for intelligent charging management of electric vehicles based on energy and transportation integration according to the present invention. Detailed Embodiments

[0015] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with 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.

[0016] Embodiment: As Figure 1 shown, the present invention provides a method for intelligent charging management of electric vehicles based on energy and transportation integration. The charging management method includes the following steps: Step S1: Divide several charging areas. When receiving a reservation request from a user to a certain charging area, mark this charging area as the designated charging area, and mark the charging piles in the designated charging area that meet the user's reservation request as the charging piles to be selected; The step S1 includes: Step S101: Obtain the geographical locations of all charging piles in the same parking lot, as well as the charging spaces corresponding to each charging pile, and divide the continuously adjacent charging spaces into the same charging area to obtain several charging areas; Step S102: After the user selects a certain charging area, mark this charging area as the designated charging area. The user sends a reservation request to the designated charging area. The reservation request includes the type of charging pile designated for reservation and the reserved charging period. The types of charging piles include fast charging piles and slow charging piles; Step S103: Obtain the charging status of all charging piles in the specified charging area. The charging status includes being in use and not being in use. Mark the charging piles with the charging status of not being in use as idle charging piles, and mark the charging piles with the charging status of being in use as working charging piles; Step S104: Obtain the working period of the working charging piles. If the working period does not coincide with the reserved charging period, then use this working charging pile and the idle charging piles as the charging piles to be selected.

[0017] Step S2: Obtain the historical reservation records of the specified charging area, and obtain the occupancy coefficients of each charging pile to be selected by analyzing the historical reservation records; The said Step S2 includes: Step S201: Take one reservation request as one reservation record, and obtain the historical reservation record data of the specified charging area. The historical reservation record is the reservation record that has made a feedback on the reservation request. Each historical reservation record includes the reservation charging pile number, the reservation time period, and the reservation result. Obtain the reservation result corresponding to each historical reservation record. The reservation result includes reservation success and reservation failure. The reservation success means charging according to the information of the reservation request, and the reservation failure means not charging according to the information of the reservation request; Step S202: Collect the failure reasons feedback by all the reservation records with reservation failure. The failure reasons include that the user changes the charging plan and the charging parking space is occupied. Take the reservation records corresponding to the failure reason of the charging parking space being occupied as the target records. Obtain the corresponding reservation charging pile numbers in the target records. Denote the total number of the target records with the same reservation charging pile number as Q, and denote the occupancy coefficient of the charging piles to be selected as L. Calculate the occupancy coefficient through the following formula: L i =(A / b)*(Q / c), where L i represents the occupancy coefficient of the i-th charging pile to be selected, A represents the number of all reservation records with reservation failure in the specified charging area, b represents the number of all reservation records with reservation success in the specified charging area, and c represents the number of reservation records whose failure reason feedback by all reservation failures is that the charging parking space is occupied.

[0018] Step S3: Extract the historical charging records of the charging piles to be selected, calculate the idle values of the charging piles to be selected, and recommend the charging piles for the specified reservation to the user according to the idle values and the occupancy coefficients; The said Step S3 includes: Step S301: Obtain the historical charging records of the to-be-selected charging pile. The historical charging records include charging periods and idle time periods. The charging period represents the time period for a charging order of a to-be-selected charging pile, and the idle time period represents the time period when a to-be-selected charging pile has no charging order. Divide a 24-hour cycle into j cycles, obtain all the idle time periods of a to-be-selected charging pile in each cycle, extract a certain idle time period as the target analysis time period, obtain the charging status of other charging piles in the specified charging area during this target analysis time period, and calculate the status ratio K. The calculation formula is K = k1 / k2, where K is the status ratio of the to-be-selected charging pile during the target analysis time period, k1 is the number of charging piles not in use in the specified charging area during the target analysis time period, and k2 is the number of charging piles in use in the specified charging area during the target analysis time period; Step S302: Obtain the charging order records of all the charging piles in use in the specified charging area during the target analysis time period, and record the total number of charging order records as W 总 , the charging order record includes the order end time and the order start time. Obtain the interval duration between the order end time of the previous charging order record and the order start time of the next charging order record and record it as T. Set the interval duration threshold T 阈 , extract the number of records where the interval duration T < the interval duration threshold T 阈 and record it as W. Calculate the occupancy value η of the target analysis time period. The calculation formula is: η = K * (W / W 总 ). If the occupancy value is greater than the set occupancy threshold, it is determined that an occupancy event occurs for the to-be-selected charging pile during the target analysis time period, and extract this target analysis time period into the target set; Step S303: Divide the 24-hour cycle into several time periods H with a time interval of s as the duration, forming an interval set = {H1, H2, H3......H f}), where H1, H2, H3......H f represent the first time interval, the second time interval, the third time interval...... the fth time interval in sequence; Obtain the number g of occupancy events that occur in a certain time interval H in the target set, and calculate the occupancy rate μ of this time interval. The calculation formula is μ f = g / G, where μ f represents the occupancy rate of the fth time interval, and G represents the total number of occupancy events in the target set; Step S304: Mark the reserved time period as [t1, t2], where t1 is the start time of the reserved time period and t2 is the end time of the reserved time period. Denote the duration of the reserved time period as Tx. Obtain the corresponding time interval H within the reserved time period. If the reserved time period completely covers the time interval H, take the occupancy rate corresponding to this time interval as μ. If the reserved time does not completely cover the time interval H, then take the occupancy rate corresponding to this time interval as (μ / 2). Calculate the idle value Z of the charging piles to be selected within the reserved time period. The calculation formula is Z = e -（μ1+μ2+μ3......μf） ; Step S305: Add the occupancy coefficient L and the idle value Z to obtain the sorting value, and recommend the charging pile to be selected corresponding to the largest sorting value to the user.

[0019] For example, obtain the idle time period of a certain charging pile, calculate the number of other charging piles in the using state and the number of charging orders being carried out when this charging pile is idle. The basis of this analysis process is: if the current charging pile is idle, while other charging piles are working all the time and charging several vehicles, it indicates from the side that the current charging pile may be occupied. Therefore, the vehicle can only choose other charging piles to charge. According to the probability of the current charging pile being occupied in different idle time periods, calculate the idle value. The larger the idle value, the lower the possibility that the charging space corresponding to the current charging pile is occupied. On the contrary, it indicates a greater possibility of being occupied. Combine the historical occupancy ratio of the current charging pile being occupied recorded in the past, sort the charging piles, and recommend the one with the smallest possibility of being occupied to the user as the reserved designated charging pile.

[0020] Step S4: If there is no recommended designated reserved charging pile in the current designated charging area, recommend an alternative charging area to the user, and there are charging piles in the alternative charging area that meet the user's needs.

[0021] The said Step S4 includes: Taking the current designated charging area as the center point, obtain all alternative charging areas within the circular range with a radius of R. Eliminate those alternative charging areas where all the charging piles are in the used state. Obtain the positions of the remaining alternative charging areas, calculate the path distance between the alternative charging areas and the designated charging area, and output and recommend to the user the alternative charging area with the shortest path distance.

[0022] An intelligent charging management system for electric vehicles based on energy and transportation integration applies an intelligent charging management method for electric vehicles based on energy and transportation integration. The electric vehicle intelligent charging management system has a reservation module and a recommendation module. The reservation module is used to send a reservation request, and the recommendation module is used to recommend a designated reserved charging pile to the user according to the reservation request.

[0023] The reservation module includes a regional division unit and a reservation information selection unit. The regional division unit is used to divide several charging areas, and when receiving a reservation request, mark the charging areas as designated charging areas. The reservation information selection unit is used to input the desired reservation time period and the type of reserved charging pile of the user.

[0024] The recommendation module includes a historical occupancy record analysis unit, an occupancy prediction analysis unit, a charging pile recommendation unit, and an alternative charging area recommendation unit. The historical occupancy record analysis unit is used to obtain the historical reservation records of the designated charging area, and obtain the occupancy coefficients of each charging pile to be selected by analyzing the historical reservation records. The occupancy prediction analysis unit is used to extract the historical charging records of the charging piles to be selected and calculate the idle values of the charging piles to be selected. The charging pile recommendation unit is used to recommend the charging piles for the designated reservation to the user according to the idle values and occupancy coefficients. The alternative charging area recommendation unit is used to recommend alternative charging areas to the user if there are no charging piles recommended for the designated reservation in the current designated charging area. The alternative charging areas are provided with charging piles that meet the user's needs.

[0025] For those skilled in the art, it is obvious that the present invention is not limited to the details of the above exemplary embodiments, and can be implemented in other specific forms without departing from the spirit or basic characteristics of the present invention. Therefore, from any point of view, the embodiments should be regarded as exemplary and non-limiting. The scope of the present invention is defined by the appended claims rather than the above description. Therefore, all changes falling within the meaning and scope of the equivalent elements of the claims are intended to be included in the present invention. Any reference signs in the claims should not be regarded as limiting the claimed rights.

Claims

1. An intelligent charging management method for electric vehicles based on the integration of transportation and energy, characterized in that: The charging management method includes the following steps: Step S1: Divide several charging areas. When a reservation request is received from a user for a certain charging area, mark this charging area as the designated charging area, and mark the charging piles in the designated charging area that meet the user's reservation request as the charging piles to be selected; Step S2: Obtain the historical reservation records of the designated charging area, and obtain the occupancy coefficients of each charging pile to be selected by analyzing the historical reservation records; Step S3: Extract the historical charging records of the charging piles to be selected, calculate the idle values of the charging piles to be selected, and recommend the charging piles for the designated reservation to the user according to the idle values and occupancy coefficients; Step S4: If there is no recommended charging pile for the designated reservation in the current designated charging area, recommend an alternative charging area to the user, and there are charging piles in the alternative charging area that meet the user's needs.

2. The intelligent charging management method for electric vehicles based on the integration of transportation and energy according to claim 1, wherein: The said Step S1 includes: Step S101: Obtain the geographical locations of all charging piles in the same parking lot, as well as the charging spaces corresponding to each charging pile, and divide the continuously adjacent charging spaces into the same charging area to obtain several charging areas; Step S102: After the user selects a certain charging area, mark this charging area as the designated charging area. The user sends a reservation request to the designated charging area. The reservation request includes the type of charging pile to be reserved and the reserved charging time period. The types of charging piles include fast charging piles and slow charging piles; Step S103: Obtain the charging status of all charging piles in the designated charging area. The charging status includes being in use and not being in use. Mark the charging piles in the not-being-in-use charging status as idle charging piles, and mark the charging piles in the being-in-use charging status as working charging piles; Step S104: Obtain the working time periods of the working charging piles. If the working time period does not coincide with the reserved charging time period, then use this working charging pile and the idle charging piles as the charging piles to be selected.

3. The intelligent charging management method for electric vehicles based on the integration of transportation and energy according to claim 2, characterized in that: The said Step S2 includes: Step S201: Take a reservation request as a reservation record, obtain the historical reservation record data of the designated charging area. The historical reservation record is the reservation record that has made a response to the reservation request. Each historical reservation record includes the reservation charging pile number, the reservation time period, and the reservation result. Obtain the reservation result corresponding to each historical reservation record. The reservation result includes reservation success and reservation failure. The reservation success means charging according to the information of the reservation request, and the reservation failure means not charging according to the information of the reservation request; Step S202: Collect the failure reasons reported by all reservation records with unsuccessful reservations. The failure reasons include that the user changes the charging plan and the charging parking space is occupied. Take the reservation records corresponding to the failure reason of the occupied charging parking space as target records, obtain the corresponding reservation charging pile numbers in the target records, record the total number of target records with the same reservation charging pile number as Q, and record the occupancy coefficient of the charging pile to be selected as L. Calculate the occupancy coefficient through the following formula: L i = (A / b) * (Q / c), where L i represents the occupancy coefficient of the i-th charging pile to be selected, A represents the number of all reservation records with unsuccessful reservations in the specified charging area, b represents the number of all reservation records with successful reservations in the specified charging area, and c represents the number of reservation records with the failure reason of the occupied charging parking space among all unsuccessful reservations.

4. The intelligent charging management method for electric vehicles based on energy and transportation integration according to claim 3, characterized in that: The said Step S3 includes: Step S301: Obtain the historical charging records of the to-be-selected charging piles. The historical charging records include charging periods and idle time periods. The charging period represents the time period for a charging order of a to-be-selected charging pile, and the idle time period represents the time period when a to-be-selected charging pile has no charging order. Taking 24 hours as a cycle, divide it into j cycles, obtain all the idle time periods of a to-be-selected charging pile in each cycle, extract a certain idle time period as the target analysis time period, obtain the charging status of other charging piles in the specified charging area within this target analysis time period, and calculate the status ratio K. The calculation formula is K = k1 / k2, where K is the status ratio of the to-be-selected charging pile within the target analysis time period, k1 is the number of unused charging piles in the specified charging area within the target analysis time period, and k2 is the number of used charging piles in the specified charging area within the target analysis time period; Step S302: Obtain the charging order records of all used charging piles in the specified charging area during the target analysis time period, and record the total number of charging order records as W 总 , the charging order record includes the order end time and the order start time. The interval duration between the order end time of the previous charging order record and the order start time of the next charging order record is recorded as T, and the interval duration threshold T is set 阈 , extract the number of records where the interval duration T < the interval duration threshold T 阈 and record it as W. Calculate the occupancy value η of the target analysis time period. The calculation formula is: η = K * (W / W 总 ), if the occupancy value is greater than the set occupancy threshold, it is determined that an occupancy event occurs for the charging pile to be selected during the target analysis time period, and extract this target analysis time period into the target set; Step S303: Divide the 24-hour cycle into several time periods H with a time interval of s as the duration, forming an interval set = {H1, H2, H3......H f}, where H1, H2, H3......H f represent the first time interval, the second time interval, the third time interval......the f-th time interval in sequence; obtain the number g of occupancy events that occur within a certain time interval H in the target set, and calculate the occupancy rate μ of this time interval. The calculation formula is μ f = g / G, where μ f represents the occupancy rate of the f-th time interval, and G represents the total number of occupancy events in the target set; Step S304: Mark the reserved time period as [t1, t2], where t1 is the start time of the reserved time period and t2 is the end time of the reserved time period. Denote the duration of the reserved time period as Tx, and obtain the time interval H corresponding to this reserved time period. If the reserved time period completely covers the time interval H, take the occupancy rate corresponding to this time interval as μ. If the reserved time does not completely cover the time interval H, then take the occupancy rate corresponding to this time interval as (μ / 2). Calculate the idle value Z of the charging pile to be selected within the reserved time period. The calculation formula is Z = e -（μ1+μ2+μ3......μf） ; Step S305: Add the occupancy coefficient L and the idle value Z to obtain the sorting value, and recommend the to-be-selected charging pile corresponding to the largest sorting value to the user.

5. The intelligent charging management method for electric vehicles based on energy and transportation integration according to claim 1, characterized in that: The said Step S4 includes: Taking the current specified charging area as the center point, obtain all the alternative charging areas within the circular range with a radius of R, eliminate those in which all the charging piles in the alternative charging areas are in the used state, obtain the positions of the remaining alternative charging areas, calculate the path distance between the alternative charging areas and the specified charging area, and output and recommend to the user the alternative charging area with the shortest path distance.

6. An intelligent charging management system for electric vehicles based on the integration of transportation and energy, which is applied to an intelligent charging management method for electric vehicles based on the integration of transportation and energy according to any one of claims 1-5, and is characterized in that: The electric vehicle intelligent charging management system reservation module and recommendation module. The reservation module is used to send a reservation request, and the recommendation module is used to recommend the specified reserved charging pile to the user according to the reservation request.

7. The intelligent charging management system for electric vehicles based on the integration of transportation and energy according to claim 6, wherein: The reservation module includes a region division unit and a reservation information selection unit. The region division unit is used to divide several charging areas, and when receiving a reservation request, mark the charging area as the specified charging area; The reservation information selection unit is used to input the desired reservation time period and the type of reserved charging pile of the user.

8. The intelligent charging management system for electric vehicles based on the integration of transportation and energy according to claim 6, wherein: The recommendation module includes a historical occupancy record analysis unit, an occupancy prediction analysis unit, a charging pile recommendation unit, and an alternative charging area recommendation unit; The historical occupancy record analysis unit is used to obtain the historical reservation records of the specified charging area and obtain the occupancy coefficients of each to-be-selected charging pile by analyzing the historical reservation records; The occupancy prediction analysis unit is used to extract the historical charging records of the to-be-selected charging pile and calculate the idle value of the to-be-selected charging pile; The charging pile recommendation unit is used to recommend the specified reserved charging pile to the user according to the idle value and the occupancy coefficient; The alternative charging area recommendation unit is used to recommend an alternative charging area to the user if there is no recommended specified reserved charging pile in the current specified charging area, and there are charging piles meeting the user's needs in the alternative charging area.

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