Intelligent charging station system and intelligent charging method

Abstract

This invention proposes an intelligent charging station system, comprising: a charging center for charging vehicles; a transport device for transporting vehicles to and from the charging center; and a control center configured to receive user charging request information and perform the following charging scheduling based on the charging request information: prioritizing all vehicles according to the charging request information; when the charging priority can satisfy all user charging requests, calling the transport device according to the charging priority to transport the corresponding vehicle to the charging center for charging, and transporting the corresponding vehicle away from the charging center after charging is completed; when the current charging priority cannot satisfy all user charging requests, re-prioritizing the charging through a user negotiation mechanism and / or a user incentive mechanism. Thus, multiple mechanisms can be used to coordinate vehicle charging, significantly improving charging efficiency and meeting the charging needs of more users. This invention also proposes a corresponding intelligent charging method.

Description

Technical Field

[0001] This invention relates to the field of electric vehicle charging technology, and in particular to an intelligent charging station system and a corresponding intelligent charging method. Background Technology

[0002] Currently, the popularization of new energy vehicles continues to accelerate, but the construction and management model of charging infrastructure is relatively lagging behind, resulting in a generally low overall utilization rate of charging piles. Especially during holidays, it is common to see users queuing to charge at highway service areas.

[0003] The main reasons for the low utilization rate of charging stations are twofold: First, users often cannot wait at the charging station for extended periods during the charging process, typically choosing to leave their vehicles to eat, rest, or engage in entertainment. Consequently, after charging is completed, the charging station remains occupied but has not been effectively used, resulting in idle and wasted charging resources. Second, due to the scarcity of charging resources, many users tend to charge their batteries to full capacity to avoid queuing again later. Simultaneously, some users proactively queue for charging even before their battery level is significantly low, fearing difficulty finding available charging opportunities when they are truly out of power. These behaviors further exacerbate the charging shortage, creating a vicious cycle of "resource scarcity—user overcharging or premature charging—further reduction in utilization rate."

[0004] Therefore, there is an urgent need to provide a solution that can enable vehicles to automatically enter and exit charging stations, intelligently schedule charging, and provide appropriate guidance for charging behavior without relying on the presence of users, so as to effectively improve the overall utilization rate of charging facilities. Summary of the Invention

[0005] The purpose of this invention is to provide an intelligent charging station system and a corresponding intelligent charging method, which can at least partially solve various technical problems in the prior art.

[0006] According to a first aspect of the present invention, an intelligent charging station system is provided, comprising: A charging center, used to charge vehicles. Transport equipment used to transport charging vehicles to and from charging centers; The control center is configured to receive charging request information from users of charging vehicles and perform charging scheduling based on the charging request information. The charging scheduling includes: All charging vehicles are sorted for charging based on charging request information, and: When the charging order can meet the charging requests of all users, the corresponding charging vehicle is transported to the charging center for charging according to the charging order, and the corresponding charging vehicle is transported away from the charging center after charging is completed. If the current charging order cannot meet the charging requests of all users, the charging order will be re-ordered through a user negotiation mechanism and / or a user incentive mechanism.

[0007] In one exemplary embodiment, the user negotiation mechanism includes providing charging suggestions to users whose charging needs cannot be met based on the current charging order.

[0008] In one exemplary embodiment, the user negotiation mechanism includes allowing users whose charging needs cannot be met to post queue-jumping requests to other users in the current charging queue.

[0009] In one exemplary embodiment, the user incentive mechanism includes setting a corresponding charging price based on charging time and charging amount.

[0010] In one exemplary embodiment, the user incentive mechanism includes allowing a user who cuts in line to pay compensation to the user who gives way.

[0011] In one exemplary embodiment, the charging recommendations include delayed charging recommendations and / or reduced charging amount recommendations.

[0012] In one exemplary embodiment, the queue-jumping request information includes queue-jumping time period information and compensation fee information.

[0013] In one exemplary embodiment, setting a corresponding charging price based on charging time and charging amount includes, at least during peak charging periods, setting a higher unit price for longer charging time and / or larger charging amount.

[0014] In one exemplary embodiment, setting a corresponding charging price based on charging time and charging amount includes increasing the unit charging price as the congestion level of the charging queue increases.

[0015] In one exemplary embodiment, the control center is configured to include: A communication module, configured to perform communication with the user; The planning module is configured to sort all charging vehicles for charging based on the user's charging demand information. A billing module configured to bill for vehicle charging; and The storage module is configured to store charging characteristic information for each charging vehicle.

[0016] In one exemplary embodiment, the charging request information includes at least the target charging amount and the target completion time, and The charging order of all charging vehicles is sorted according to the charging request information, including: Obtain the charging vehicle queue according to the order in which charging request information is received. Using the charging vehicle queue and time axis as coordinates, a charging demand distribution matrix is ​​established based on the target charging amount, target completion time, and charging characteristics of each charging vehicle. The projection of the charging demand distribution matrix onto the time axis is used as the initial charging sorting queue.

[0017] In an exemplary embodiment, when the projections of the charging demands of all vehicles on the time axis do not overlap, or when they partially overlap and the charging capacity of the charging center is sufficient to meet the charging demands of the overlapping portion, it is determined that the current charging order, which serves as the initial charging order queue, can meet the charging requests of all users.

[0018] In an exemplary embodiment, when the projections of the charging demands of multiple vehicles on the time axis at least partially overlap, causing the charging center to become overloaded due to insufficient charging capacity to meet the charging demands of the overlapping portion, it is determined whether the charging demand of the vehicle at the front of the initial charging sorting queue can be moved forward on the time axis. If the charging demand of the vehicle at the front can be moved forward and the overload is eliminated after the forward movement, the forward-moved charging sorting is used as the current charging sorting, and it is determined that the current charging sorting can meet the charging requests of all users. Otherwise, it is determined that the current charging sorting cannot meet the charging requests of users of vehicles at the back of the charging vehicle queue.

[0019] In one exemplary embodiment, the control center is configured to: during the execution of a charging operation, when a blank time period is encountered on the timeline, skip the blank time period and directly charge the vehicle after the blank time period.

[0020] In one exemplary embodiment, the control center is also configured to update the user's queuing status or charging status in real time.

[0021] In one exemplary embodiment, the control center is further configured to receive user charging demand change information and perform the charging scheduling based on the charging demand change information.

[0022] In one exemplary embodiment, the intelligent charging station system further includes: The vehicle handover area is for users to park and pick up their vehicles; and The parking area is used to store vehicles that users have parked in the handover area. The transport device is configured to transport vehicles between the delivery area, the storage area, and the charging center.

[0023] According to a second aspect of the present invention, a smart charging method is provided using a smart charging station system according to a first aspect of the present invention, comprising at least: Receive vehicle and obtain charging request information from vehicle users; and Charging scheduling is performed based on charging request information.

[0024] The beneficial effects of the present invention, based on the above aspects, are that it can significantly improve the overall utilization rate of charging stations and meet the charging needs of users in urgent situations. Specifically, the present invention not only increases the actual charging time ratio of charging piles by using a transport device to promptly transport vehicles that have completed charging away from the charging center, but more importantly, it encourages more users to choose to charge during off-peak hours or charge moderately by combining a user negotiation mechanism and / or a user incentive mechanism for intelligent charging sequencing. This allows more users to be served per unit time, effectively alleviating queue congestion. Furthermore, by introducing a user negotiation mechanism and a compensation mechanism, users in urgent situations can obtain the opportunity to jump the queue by paying a compensation fee, ensuring their special needs are met while providing reasonable rewards to those who give way, thus achieving flexible allocation of charging resources. In summary, the intelligent charging station system and method according to the present invention can coordinate vehicle charging through multiple mechanisms, significantly improving charging efficiency and flexibly meeting the charging needs of more users. Attached Figure Description

[0025] The invention will now be described in more detail with reference to the accompanying drawings, which will provide a better understanding of its principles, features, and advantages. The drawings include: Figure 1 A system connection diagram of a portion of an intelligent charging station system according to an exemplary embodiment of the present invention is shown schematically; Figure 2 A schematic diagram of a smart charging station system according to an exemplary embodiment of the present invention is shown. Figure 3 A flowchart illustrating the main steps of a smart charging method according to an exemplary embodiment of the present invention is shown; Figure 4 An example diagram of the charging demand distribution matrix established during charging sorting is shown; Figure 5 An example diagram of a charging sorting queue after reordering the charging order through a user negotiation mechanism and / or a user incentive mechanism is shown. Figure 6 An example diagram of another charging sorting queue after reordering the charging through a user negotiation mechanism and / or a user incentive mechanism is shown. Detailed Implementation

[0026] To make the technical problems to be solved, the technical solutions, and the beneficial technical effects of this invention clearer, the invention will be further described in detail below with reference to the accompanying drawings and several exemplary embodiments. It should be understood that the specific embodiments described herein are for illustrative purposes only and are not intended to limit the scope of protection of this invention.

[0027] Figure 1 The diagram schematically illustrates a portion of a smart charging station system 100 according to an exemplary embodiment of the present invention. Figure 2 The diagram schematically illustrates the structure of an intelligent charging station system 100 according to an exemplary embodiment of the present invention. Figure 3 A flowchart illustrating the main steps of a smart charging method according to an exemplary embodiment of the present invention is shown.

[0028] like Figure 1 and Figure 2 As shown, an intelligent charging station system 100 according to an exemplary embodiment of the present invention includes a control center 1, a charging center 2, multiple transport devices 3, a vehicle delivery area 4, and a vehicle storage area 5. The control center 1 receives charging request information from users and performs charging scheduling based on the charging request information. The charging center 2 is used to charge vehicles. The multiple transport devices 3 are used to transport vehicles to and from the charging center 2, thereby preventing charging piles from being occupied by fully charged vehicles. The vehicle delivery area 4 is the area for users to hand over vehicles to the intelligent charging station system 100, and the vehicle storage area 5 is the area for storing users' vehicles. When a user wants to charge their vehicle, the user only needs to park the vehicle in the vehicle delivery area 4 and send a charging request information to the intelligent charging station system 100, i.e., its control center 1. The control center 1 then calls the transport devices 3 to transport the vehicle between the vehicle delivery area 4, the vehicle storage area 5, and the charging center 2 according to the scheduling process.

[0029] like Figure 3 As shown, the intelligent charging method according to an exemplary embodiment of the present invention, performed using the intelligent charging station system 100 according to the present invention, mainly includes the following steps: S1: Receives vehicle information and obtains charging request information from the vehicle user; and S2: Perform charging scheduling based on charging request information.

[0030] Regarding step S1, after the user parks the vehicle in the delivery area 4 and leaves, the control center 1 calls an idle transport device 3 to transport the vehicle from the delivery area 4 to an empty parking space in the storage area 5 or directly to the charging center 2. Here, since the vehicle transport is completed by the transport device 3, there is no influence from human operation factors during the transport and parking process, and there is no need to consider differences in human operation such as turning radius. Therefore, vehicles can be densely arranged in the storage area 5, improving the space utilization of the storage area 5. During or before this period, the user can enter charging request information on their client and submit the charging request information to the intelligent charging station system 100. The charging request information includes at least the target charging amount and the target completion time.

[0031] The control center 1 is configured to include: a communication module 11, which is configured to perform communication with the user; a planning module 12, which is configured to sort all charging vehicles according to the user's charging demand information; a billing module 13, which is configured to bill the charging of the vehicles; and a storage module 14, which is configured to store the charging characteristic information of each charging vehicle.

[0032] In step S2, after receiving the user's charging request information via the communication module 11, the control center 1 performs charging scheduling based on the charging request information. Specifically, the control center 1 calls the planning module 12 to sort all charging vehicles according to the user's charging demand information.

[0033] The following is combined with Figures 4 to 6 The charging sorting process is explained, in which... Figure 4 An example diagram of the charging demand distribution matrix established during charging sorting is shown. Figure 5 An example diagram of a possible charging sorting queue is shown. Figure 6 An example diagram of another possible charging sorting queue is shown.

[0034] like Figure 4 As shown, firstly, the corresponding charging vehicle queue is obtained according to the order in which charging request information is received from the user. Then, the queue is used as the vertical axis and the time axis (T) is used as the horizontal axis to establish a charging demand distribution matrix based on the target charging amount, target completion time and charging characteristic information of each charging vehicle. Here, the charging demand is expressed as the time demand for vehicle charging.

[0035] exist Figure 4In the diagram, the vertical axis numbers No. 1, No. 2, etc., represent the order of the vehicles that issued charging requests. The corresponding numbered rectangles represent the charging / time requirements calculated based on the target charging amount, target completion time, and charging characteristics of each vehicle. The right side of each rectangle represents the target completion time, positioned to correspond to the corresponding moment on the time axis; the horizontal length / long side of each rectangle represents the calculated charging duration. Therefore, by determining the position of each rectangle along the horizontal axis, the charging time period requested by each user can be obtained. It can be seen that... Figure 4 In the example, the user of vehicle No.1 sent the charging request first and had the earliest target completion time; the charging time of vehicle No.2 was shorter than that of vehicle No.3, and their target completion times were basically the same; although the user of vehicle No.4 sent the charging request first, their target completion time was later than that of vehicle No.5, and since the target charging amounts of vehicles No.4 and No.5 were not large, the charging start time of vehicle No.4 could even be later than the target completion time of vehicle No.5.

[0036] After establishing the charging demand distribution matrix, the projection of each rectangle onto the time axis is used as the initial charging sorting queue. The initial charging sorting queue is as follows: Figure 4 As shown on the horizontal / time axis T, vehicle No.1 is listed first, followed by overlapping vehicle No.2 and vehicle No.3 after the blank time period, then vehicle No.5 which can complete charging first, followed by vehicle No.4 which can charge later.

[0037] For this initial charging sequence queue, if the charging capacity of charging center 2 can simultaneously meet the charging needs of overlapping vehicles No. 2 and No. 3 (e.g., charging center 2 has multiple available charging piles), then it can be determined that the initial charging sequence queue can meet the charging requests of all users. Therefore, control center 1 uses this queue as the current charging sequence and sequentially calls the transport device 3 to transport the corresponding charging vehicles (No. 1, 3, 2, 5, 4) to charging center 2 for charging. After charging is completed, the corresponding charging vehicles are transported away from charging center 2. Alternatively, if there are no overlapping charging needs in the initial charging sequence queue, that is, when the projections of the charging needs of all vehicles on the time axis do not overlap, it can also be determined that the initial charging sequence queue can meet the charging requests of all users. Therefore, control center 1 uses this queue as the current charging sequence to execute sequential charging operations.

[0038] On the other hand, for an initial charging queue where the charging demands of vehicles overlap, if the charging capacity of charging center 2 cannot meet the charging demands of the overlapping portion, and thus an overload occurs at the overlapping portion, the system first determines which vehicle is at the front of the initial charging queue. Figure 4 Can the charging needs of vehicle No. 2, or even vehicle No. 1, be shifted forward on the timeline? If the users of vehicle No. 2 and vehicle No. 1 have already stored their vehicles in parking area 5 in advance, then the charging times of both vehicles can be shifted forward sufficiently to eliminate overlap (e.g., ...). Figure 5 If, as shown, the overload of charging center 2 is eliminated, or at least the overload situation of charging center 2 is eliminated, then control center 1 uses the previously moved charging order as the current charging order, determines that the current charging order can meet the charging requests of all users, and then executes the charging operation in sequence. Conversely, if the charging demand of the preceding vehicle cannot be moved forward on the time axis, or even if it is moved forward, it is insufficient to eliminate the overload of charging center 2, control center 1 determines that the current charging order cannot meet the charging requests of users of vehicles later in the charging vehicle queue. Figure 4 In this case, it is determined that the charging needs of vehicle No.3 cannot be met.

[0039] When the control center determines that the current charging order cannot meet the charging requests of all users, especially those of vehicles that are behind, the charging order will be re-ordered through a user negotiation mechanism and / or a user incentive mechanism.

[0040] In an exemplary embodiment, the user negotiation mechanism may include providing charging suggestions to users whose charging needs cannot be met, specifically users of vehicles following in the queue, based on the current charging order. These charging suggestions include suggestions to delay charging and / or reduce the amount of charging. Taking the overload situation described above as an example, the planning module 12 can calculate the estimated completion time for meeting the target charging amount of vehicle No. 3, or the estimated completion time allowed by the current queue (later than its target completion time without affecting subsequent queued vehicles), based on the earliest time that vehicle No. 3 can start charging (e.g., after the target completion time of vehicle No. 2), and the estimated charging amount (less than the target charging amount) up to its target completion time. This delayed estimated completion time and / or reduced estimated charging amount are then sent as charging suggestions to the corresponding user via the communication module 11, advising the user to choose delayed charging and / or reduced charging. If the user of vehicle No. 3 accepts at least one of these suggestions, their charging request information is updated based on the received charging suggestions, and the charging order is re-ordered based on the updated charging request information. An example of the ordering result is as follows: Figure 6 As shown, the user of vehicle No. 3 accepted the delayed charging suggestion within the current queue's limits. Therefore, the target charge amount for vehicle No. 3 was reduced, meaning the charging time was shortened and the charging completion time was delayed. Figure 6As indicated by the middle arrow and dashed line, the user of vehicle No. 3 could choose to further reduce the target charging amount without delaying the target completion time, or further delay the target completion time without reducing the target charging amount, provided that it does not affect the charging of subsequent vehicles.

[0041] In an exemplary embodiment, the user negotiation mechanism may further include allowing users whose charging needs cannot be met to post queue-jumping requests to other users in the current charging queue. Continuing with the overload scenario described above, control center 1 can provide a queue-jumping request option to the user of vehicle No. 3 via communication module 11. After selecting the queue-jumping request option on the client, the user fills in the queue-jumping request information and submits it to control center 1. The queue-jumping request information includes the user's latest expected target completion time and target charging amount, which may differ from the information in the initially submitted charging request. After converting the queue-jumping request information into queue-jumping request information containing queue-jumping time period information, control center 1 broadcasts the queue-jumping request information to other users in the charging queue via communication module 11. After receiving the broadcast information, other users can choose whether to accept queue-jumping or give way, depending on their own circumstances. For example, the user of vehicle No. 5 can accept the user of vehicle No. 3 delaying their charging completion time, thus postponing their target completion time or reducing their target charging amount.

[0042] In one exemplary embodiment, the user incentive mechanism includes allowing the user who cuts in line to pay compensation to the user who gives way. That is, the line-cutting request information also includes information on the compensation the user who cuts in line (the user of vehicle No. 3 in the example above) is willing to pay, and the user who gives way receives the compensation, thereby facilitating smoother and fairer coordination among users.

[0043] In one exemplary embodiment, the user incentive mechanism includes setting a corresponding charging price based on charging time and charging amount. In one example, the billing module 13 can be configured such that, at least during peak charging periods, the longer the charging time and / or the larger the charging amount, the higher the charging unit price. This encourages users to reduce their charging amount during peak charging periods, thereby shortening their charging time and enabling more users to charge their vehicles. In another example, the billing module 13 can be configured such that the charging unit price increases as the congestion of the charging queue increases. Thus, whenever queuing becomes congested, the charging unit price can be appropriately increased to coordinate and encourage some users to choose to charge later or charge less, thereby also helping to meet the charging needs of more users.

[0044] Specifically, during charging operations, when encountering blank time slots on the timeline, control center 1 can skip these blank time slots and directly schedule charging for vehicles after the blank time slot. Furthermore... Figure 4 For example, after charging vehicle No.1, charging can begin directly for vehicle No.2 or vehicle No.3, which are listed after vehicle No.1, without waiting for the blank period to pass. Correspondingly, after a vehicle is fully charged, if the completion time is earlier than the user-set target time or the user has not yet retrieved the vehicle, control center 1 calls transport device 3 to transport the vehicle back to an available location in parking area 5. If the user is already waiting to retrieve the vehicle (e.g., by issuing a retrieval command via the client), control center 1 calls transport device 3 to transport the vehicle to delivery area 4 to complete the vehicle handover with the user.

[0045] In one exemplary embodiment, the control center 1 is also configured to update the queuing status or charging status to the user in real time, so that the user who is not present can know the charging status of his / her vehicle and adjust his / her activity plan accordingly.

[0046] In one exemplary embodiment, control center 1 is further configured to receive information on changes in a user's charging needs and to perform charging scheduling based on this information. For example, if a user may need to depart earlier, they can advance their target completion time and / or reduce the charging amount; or if a user may need to stay longer, they can delay their target completion time and / or increase the charging amount. If a user's change in charging needs causes charging center 2 to become overloaded, the aforementioned user negotiation mechanism and / or user incentive mechanism can be used to coordinate and reorder the charging process.

[0047] Although specific embodiments of the invention have been described in detail herein, they are given for illustrative purposes only and should not be construed as limiting the scope of the invention. Various substitutions, alterations, and modifications can be conceived without departing from the spirit and scope of the invention.

Claims

1. A smart charging station system (100), comprising: Charging center (2), which is used to charge vehicles; A transport device (3) is used to transport charging vehicles to and from the charging center (2). The control center (1) is configured to receive charging request information from users of charging vehicles and to perform charging scheduling based on the charging request information. The charging scheduling includes: All charging vehicles are sorted for charging based on charging request information, and: When the charging order can meet the charging requests of all users, the corresponding charging vehicle is transported to the charging center (2) by the transport device (3) according to the charging order for charging, and the corresponding charging vehicle is transported away from the charging center (2) after the charging is completed. If the current charging order cannot meet the charging requests of all users, the charging order will be re-ordered through a user negotiation mechanism and / or a user incentive mechanism.

2. The intelligent charging station system (100) according to claim 1, wherein, The user negotiation mechanism includes: providing charging suggestions to users whose charging needs cannot be met based on the current charging order; and / or allowing users whose charging needs cannot be met to post queue-jumping requests to other users in the current charging order queue; and / or The user incentive mechanism includes: setting corresponding charging prices based on charging time and charging amount; and / or allowing users who cut in line to pay compensation to users who give way.

3. The intelligent charging station system (100) according to claim 2, wherein, The charging recommendations include recommendations for delayed charging and / or recommendations for reducing the amount of charging; The queue-jumping request information includes queue-jumping time period information and compensation fee information; and / or The charging price is set according to the charging time and the amount of charging, including: at least during peak charging periods, the longer the charging time and / or the larger the amount of charging, the higher the unit price of charging. And / or the unit price of charging increases as the congestion of the charging queue increases.

4. The intelligent charging station system (100) according to any one of claims 1 to 3, wherein, The control center (1) is configured to include: Communication module (11), which is configured to perform communication with the user; The planning module (12) is configured to sort all charging vehicles according to the user's charging demand information. The billing module (13) is configured to bill the charging of the vehicle; and The storage module (14) is configured to store charging characteristic information for each charging vehicle.

5. The intelligent charging station system (100) according to any one of claims 1 to 4, wherein, The charging request information includes at least the target charging amount and the target completion time, and The charging order of all charging vehicles is sorted according to the charging request information, including: Obtain the charging vehicle queue according to the order in which charging request information is received. Using the charging vehicle queue and time axis as coordinates, a charging demand distribution matrix is ​​established based on the target charging amount, target completion time, and charging characteristics of each charging vehicle. The projection of the charging demand distribution matrix onto the time axis is used as the initial charging sorting queue.

6. The intelligent charging station system (100) according to claim 5, wherein, When the projections of the charging demands of all vehicles on the time axis do not overlap, or when they partially overlap and the charging capacity of the charging center (2) is sufficient to meet the charging demands of the overlapping portion, it is determined that the current charging order, which serves as the initial charging order queue, can meet the charging requests of all users. or When the projections of the charging demands of multiple vehicles on the time axis overlap to at least partially, and cause the charging center (2) to become overloaded due to its inability to meet the charging demands of the overlapping portion, it is determined whether the charging demand of the vehicle at the front of the initial charging sorting queue can be moved forward on the time axis. If the charging demand of the vehicle at the front can be moved forward and the overload is eliminated after the forward movement, the charging sorting after the forward movement is used as the current charging sorting, and it is determined whether the current charging sorting can meet the charging requests of all users. Otherwise, it is determined that the current charging sorting cannot meet the charging requests of users of the vehicles at the back of the charging vehicle queue.

7. The intelligent charging station system (100) according to claim 5 or 6, wherein, The control center (1) is configured to skip the blank time period on the time axis and directly charge the vehicle after the blank time period when a blank time period is encountered during the charging operation.

8. The intelligent charging station system (100) according to any one of claims 1 to 7, wherein, The control center (1) is also configured as follows: Update the user's queue status or charging status in real time; and / or Receive information on changes in the user's charging needs, and execute the charging schedule based on the changes in charging needs.

9. The intelligent charging station system (100) according to any one of claims 1 to 8, wherein, The intelligent charging station system (100) also includes: The vehicle handover area (4) is for users to park and pick up their vehicles; and Parking area (5) is used to store vehicles parked by users in the handover area. The transport device (3) is configured to transport vehicles between the delivery area (4), the storage area (5), and the charging center (2).

10. A smart charging method performed using a smart charging station system (100) according to any one of claims 1 to 9, comprising at least: Receive vehicle information and obtain charging request information from vehicle users; and Charging scheduling is performed based on charging request information.

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