A charging method and system for an electric vehicle

Abstract

The application provides a charging method and system of an electric vehicle, comprising: in response to receiving a charging demand of a client, analyzing and determining a business area of a vehicle to be charged; based on the configuration of a mobile charging pile and a charging robot in the business area, a platform end allocates charging resources according to the charging demand and a charging priority, comprising: in response to the mobile charging pile and the charging robot being available in the business area, the platform end sends a charging work order to a charging staff in the business area, controls the charging robot to carry the mobile charging pile to the position of the vehicle to be charged, and controls the charging staff to plug in a gun and start charging; in response to the mobile charging pile or the charging robot being unavailable in the business area, the platform end sends the charging work order to a delivery personnel of a logistics vehicle, pushes the available charging piles around the logistics vehicle according to the distance, and controls the delivery personnel to load the charging pile from the nearest business area or a charging base station to the position of the vehicle to be charged according to the prompt of the platform end, and then plug in the gun and start charging.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of electric vehicle charging, and particularly to a charging method and system for electric vehicles. BACKGROUND

[0002] With the vigorous development of the new energy industry, electric vehicles are gradually emerging and popularizing as a new force. However, compared with traditional fuel vehicles, electric vehicles have relatively short endurance mileage, which puts higher requirements on the popularization rate and coverage of charging facilities. Currently commonly used charging facilities mainly include large charging stations, outdoor charging piles, community charging piles, and public parking lot charging piles, etc. These charging piles are generally fixedly installed on the ground or walls, the input ends of which are directly connected with the alternating current power grid, and the output ends of which are equipped with charging plugs, so as to charge various electric vehicles according to different voltage levels. According to the installation mode, they can be divided into floor type and wall-mounted type, which are respectively suitable for different parking scenarios.

[0003] However, the traditional fixed charging piles have many problems that are difficult to overcome:

[0004] Installation and coverage problems: difficult to install and transform, and low coverage rate. Due to the involvement of complex engineering such as power grid line transformation, in some areas, especially in old communities, it is difficult to install charging piles, which leads to that the overall coverage rate cannot meet the growing charging demand of electric vehicles.

[0005] Position limitation: fixed position, users need to drive to the designated charging location, which limits the convenience of charging to some extent, especially for sudden charging demand and no fixed charging pile nearby, it is difficult to quickly solve the charging problem.

[0006] Power grid pressure: the charging pile needs large power supply power when charging, which requires high power grid capacity, especially the power of direct current fast charging pile can reach dozens of KW or even hundreds of KW, which will bring great pressure to the power grid. In residential parking lots, due to the limitation of power capacity, only alternating current slow charging piles can be installed, and it is also difficult to meet the needs of all users, and even old communities are difficult to install.

[0007] Queuing problem: there is a long queuing time for public charging piles during peak use, which affects the charging experience and time arrangement of users.

[0008] Some existing mobile charging piles adopt the charging pile and vehicle integrated charging vehicle mode, and set up a management background, which are mainly applied to small range areas such as community parking lots and shopping mall parking lots, and have a series of disadvantages:

[0009] Limited application range: the transportation distance of the charging vehicle is limited, the application range is small, and it cannot be widely used in a wider area, which cannot meet the charging demand of long distance travel or remote areas.

[0010] High cost: It is difficult for a community or a mall to establish a dedicated charging network, resulting in high storage cost of the charging car, which limits the large-scale application of this mode to some extent.

[0011] Convenient scheduling and management: The charging car is not equipped with a positioning device, and the management background determines the charging address through the information uploaded by the client, such as the parking space number, the scheduling method is simple, and it is easy to find the charging car, which brings inconvenience to the recovery, maintenance and management of the charging car.

[0012] Performance defects: The charging car uses a series of lithium battery packs, when a string fails, the charging car cannot work normally, and even leads to scrap, and cannot provide constant charging current, which cannot meet the requirements of the international standard for electric vehicle charging.

[0013] In summary, the existing charging technology and facilities are difficult to fully meet the growing charging demand of electric vehicles, and innovative charging methods and systems are needed to solve these problems. SUMMARY

[0014] To solve the above technical problems in the prior art, the present application provides a charging method and system for electric vehicles to solve the above technical problems.

[0015] According to the first aspect of the present application, a charging method for electric vehicles is provided, comprising:

[0016] S1: In response to receiving the charging demand of the client, the business area of the vehicle to be charged is analyzed and determined;

[0017] S2: Based on the configuration of the mobile charging pile and the charging robot in the business area, the platform end allocates charging resources according to the charging demand and the charging priority, specifically including:

[0018] S21: In response to the fact that there are available mobile charging piles and charging robots in the business area, the platform end sends a charging work order to the charging staff in the business area, controls the charging robot to carry the mobile charging pile to the position of the vehicle to be charged, and the charging staff inserts the gun and starts charging;

[0019] S22: In response to the fact that there are no available charging resources in the business area, the platform end sends a charging work order to the delivery personnel of the logistics car, pushes the mobile charging pile of the available charging base station around the logistics car according to the distance, and the delivery personnel goes to the charging base station according to the prompt of the platform end to load the mobile charging pile and distribute it to the position of the vehicle to be charged, and then inserts the gun and starts charging;

[0020] In S22, after receiving the charging work order, the platform analyzes the charging resources of other business areas around the service area of the vehicle to be charged. If there is available charging resource in other business areas and the scheduling distance of the logistics vehicle is less than the distance of scheduling the mobile charging pile to the charging base station, the charging work order is sent to the logistics vehicle and other business areas. The logistics vehicle is scheduled to other business areas to load the available mobile charging pile from the charging robot and distribute it to the location of the vehicle to be charged, and the gun is started to start charging.

[0021] In some specific embodiments, the charging demand includes vehicle type, vehicle location information, remaining power information, and expected charging amount. The platform schedules the mobile charging pile according to the remaining power information, the expected charging amount, and the available power of the mobile charging pile. The expected charging amount is calculated according to the charging target power submitted by the user and the current vehicle remaining power. If the user does not submit a specific charging target, the expected charging amount is estimated according to the battery capacity of the vehicle model and the historical charging record. By considering the vehicle type, vehicle location information, remaining power information, and expected charging amount, a customized charging solution can be provided for each user, and the platform can accurately schedule the mobile charging pile to meet the charging needs of different electric vehicles. According to the charging target submitted by the user and the current remaining power, the system can automatically calculate the expected charging amount. If the user does not provide a specific charging target, the system estimates the expected charging amount according to the type of electric vehicle and historical data to ensure that the charging demand can be accurately identified and met. Even if the user does not explicitly state the charging demand, the system can still intelligently estimate the charging amount, avoiding scheduling errors caused by incomplete information input by humans.

[0022] In some specific embodiments, the charging resources deployed in the business area are a plurality of mobile charging piles and charging robots, and each charging robot can separately carry a mobile charging pile. In response to receiving the cross-area scheduling charging work order issued by the platform, the logistics vehicle cooperates with the charging robot to transfer the mobile charging pile carried on the charging robot to the logistics vehicle after arriving at the scheduling area, and distributes it to the business area with charging demand according to the information of the charging work order for charging operation. Through the design of separating mobile charging piles and charging robots, the deployment of charging resources is more flexible and adaptable, and the resource utilization efficiency and system expansion capability are significantly improved. This design not only meets the needs of diversified scenarios, but also has significant advantages in equipment cost, maintenance convenience, and cross-area scheduling efficiency, providing a solid technical foundation for efficient operation of the electric vehicle charging system.

[0023] In some specific embodiments, in response to the current power of the mobile charging pile available in the current business area not meeting the demand of the expected charging amount, the platform side calculates the chargeable time according to the current power of the mobile charging pile, and schedules other mobile charging piles in the current business area or schedules the logistics vehicle to load the charging pile from the nearest business area or charging base station to the location of the vehicle to be charged within the chargeable time of the current mobile charging pile, and then completes the remaining charging task. When the existing mobile charging pile is insufficient, the platform side calculates the chargeable time and schedules the logistics vehicle for subsequent charging through the relay charging mechanism to ensure that the charging task will not be interrupted. This method effectively solves the problem of insufficient charging pile power and ensures the continuity of charging, thereby improving the reliability of the charging service.

[0024] In some specific embodiments, the platform side dynamically adjusts the allocation of charging resources based on the following rules: the distance between the vehicle to be charged and the mobile charging pile, whether the current power of the mobile charging pile meets the expected charging amount of the vehicle to be charged, the usage state of the mobile charging pile and the idle time after completing the current task, the charging urgency of the vehicle to be charged, and the waiting time of other scheduled charging tasks. Based on multiple factors such as the distance between the charging pile and the vehicle, the power of the charging pile, and the charging urgency, the platform side can dynamically adjust the allocation of charging resources to prioritize the completion of high-priority charging needs. Through intelligent adjustment of multiple factors, the platform can optimize the scheduling of charging resources in real time, avoid resource waste, and meet the urgent charging needs of vehicles.

[0025] In some specific embodiments, the platform side dynamically optimizes the deployment of charging resources based on real-time data, specifically including: predicting future charging demand fluctuations in the business area based on real-time data to schedule charging robots or logistics vehicles to deploy mobile charging piles in advance; in response to a charging peak in the business area, preferentially calling logistics vehicles in standby state to provide mobile charging services; and actively scheduling mobile charging piles to supplement power during a charging low-peak period. By predicting future fluctuations in charging demand, the platform can schedule charging resources in advance to optimize resource deployment. This not only effectively addresses charging peak periods, but also allows for power supplementation in advance during low-peak periods to avoid idle equipment. During a charging demand peak period, the platform can preferentially schedule logistics vehicles to provide supplemental services, thereby ensuring the full utilization of charging equipment during high-demand periods.

[0026] In some specific embodiments, to determine whether the current mobile charging pile can meet the expected charging demand: mc ≥C t If it meets the requirement, the mobile charging pile is preferentially scheduled; if it does not meet the requirement, the chargeable time is calculated:

[0027] and whether relay charging is needed is determined according to the demand within the chargeable time: remaining =Ct -E mc ×min(1,T mc ), dispatching the logistics vehicle to continue charging, calculating the logistics vehicle arrival time in response to the logistics vehicle arrival time T log-arrive not exceeding the remaining charging time T mc of the current mobile charging pile, the total charging time T total =T mc +T log ; in response to the logistics vehicle arrival time T log-arrive exceeding the remaining charging time T mc of the current mobile charging pile, the total charging time T total =T log-arrive +T log , the continuation charging time wherein E mc represents the remaining power of the current mobile charging pile, C t represents the expected charging power, T mc represents the chargeable time of the current mobile charging pile, T other represents the time for the logistics vehicle to dispatch the mobile charging pile from other business areas to the vehicle location, T base represents the time for the logistics vehicle to dispatch the mobile charging pile from the charging base station, P mc represents the charging power of the mobile charging pile, d log represents the distance between the logistics vehicle and the vehicle to be charged, v log represents the average transportation speed of the logistics vehicle, and P log represents the charging power of the mobile charging pile carried by the logistics vehicle. The platform can dynamically optimize the scheduling according to different charging resources and transportation time costs to ensure that the charging task is completed in the shortest time, improving the user experience.

[0028] According to a second aspect of the present application, a charging system for electric vehicles is provided, comprising a platform end for executing the above charging method, a mobile charging pile, a charging robot, a logistics vehicle and a charging base station. Through the above efficient charging resource scheduling system, efficient allocation and execution of charging tasks can be achieved.

[0029] In some specific embodiments, the business area further includes a fixed charging pile, and when the fixed charging pile is idle, the charging is preferentially performed through the fixed charging pile. When the fixed charging pile is idle, the charging is preferentially performed through the fixed charging pile. In this way, the use efficiency of the fixed charging pile can be improved, and the burden of the mobile charging pile and the charging robot can be reduced; this strategy can reasonably allocate fixed and mobile charging resources while ensuring efficient scheduling, avoiding resource waste.

[0030] In some specific embodiments, the charging base station is deployed in the form of a container in the area where energy supplement charging can be performed. The charging base station is deployed in the form of a container, which can facilitate energy supplement charging in areas with high charging demand, and is particularly suitable for areas with temporary high charging demand. The deployment form of the container also helps to realize the rapid installation and movement of the base station.

[0031] The electric vehicle charging method and system proposed by the application have the following technical effects:

[0032] Flexible charging scheduling and resource management: by combining multiple charging methods (fixed charging piles, mobile charging piles, charging robots, logistics vehicles, etc.) and intelligent platform scheduling, the scheme can realize flexible and efficient charging task allocation and execution according to different regions, different user needs, and charging equipment states.

[0033] Intelligent and dynamic optimization: the system predicts charging demand fluctuations based on real-time data, performs dynamic scheduling, and optimizes resource deployment, thereby avoiding the idle and excessive load of charging equipment.

[0034] Improve user experience and charging efficiency: through intelligent scheduling and relay charging mechanism, the system can complete the charging task in the shortest time, significantly improving the charging efficiency and user experience, especially during high demand periods. BRIEF DESCRIPTION OF DRAWINGS

[0035] The accompanying drawings are included to provide a further understanding of embodiments and are incorporated in and constitute a part of this specification. The drawings illustrate embodiments and serve to explain principles of the application. Other embodiments and many of the intended advantages of the present application will be readily appreciated as the same becomes better understood by reference to the following detailed description when considered in connection with the accompanying drawings, wherein:

[0036] Figure 1 is a flow chart of an electric vehicle charging method according to an embodiment of the application;

[0037] Figure 2 is a flow chart of an electric vehicle charging method according to a specific embodiment of the application;

[0038] Figure 3 is a layout schematic diagram of an electric vehicle charging system according to an embodiment of the application. DETAILED DESCRIPTION

[0039] The application will be described in further detail below with reference to the drawings and embodiments. It is to be understood that the specific embodiments described herein are merely illustrative of the application and are not intended to limit the scope of the application. In addition, it should be noted that, for the sake of brevity, only portions of the drawings that are necessary for an understanding of the application will be described.

[0040] It should be noted that the embodiments in the application and the features in the embodiments can be combined with each other without conflict. The application will be described in further detail below with reference to the drawings and embodiments.

[0041] Figure 1 A flow chart of a charging method of an electric vehicle according to an embodiment of the application is shown in FIG. 1, which specifically includes the following steps. Figure 1 As shown in FIG. 1, the method specifically includes the following steps.

[0042] S1: In response to receiving a charging demand of a client, the business area of a vehicle to be charged is analyzed and determined.

[0043] In a specific embodiment, the charging demand includes a vehicle model, vehicle location information, residual power information and expected charging amount, and the platform end dispatches a mobile charging pile according to the residual power information, the expected charging amount and the available power of the mobile charging pile. The expected charging amount is calculated according to the target charging amount submitted by the user and the current residual power of the vehicle; if the user does not submit a specific charging target, the expected charging amount is estimated according to the battery capacity of the vehicle model and the historical charging record. By considering the vehicle model, vehicle location information, residual power information and expected charging amount, a customized charging solution can be provided for each user, and the platform can accurately dispatch the mobile charging pile to adapt to the charging demands of different electric vehicles.

[0044] S2: Based on the configuration of the mobile charging pile and the charging robot in the business area, the platform end allocates charging resources according to the charging demand and the charging priority, specifically including:

[0045] S21: In response to the fact that there are available mobile charging piles and charging robots in the business area, the platform end sends a charging work order to a charging staff in the business area, controls the charging robot to carry the mobile charging pile to the location of the vehicle to be charged, the charging staff inserts the gun and starts charging;

[0046] S22: In response to the fact that there are no available charging resources in the business area, the platform end sends a charging work order to a power delivery personnel of a logistics vehicle, pushes the mobile charging pile of an available charging base station around the logistics vehicle according to the distance, and the power delivery personnel delivers the mobile charging pile to the location of the vehicle to be charged according to the prompt of the platform end, and inserts the gun and starts charging;

[0047] In S22, after receiving the charging work order, the platform analyzes the charging resources of other business areas around the service area of the vehicle to be charged. If there is an available charging resource in the other business area and the dispatching distance of the logistics vehicle is less than the distance to the charging base station to dispatch the mobile charging pile, the charging work order is sent to the logistics vehicle and the other business area. The logistics vehicle is dispatched to the other business area to load the available mobile charging pile from the charging robot and deliver it to the location of the vehicle to be charged, and the gun is started to start charging.

[0048] In specific embodiments, the charging resources deployed in the business area are specifically a plurality of mobile charging piles and charging robots, and each charging robot can separately carry a mobile charging pile. In response to receiving a cross-area dispatch charging work order issued by the platform, the logistics vehicle cooperates with the charging robot to transfer the mobile charging pile carried on the charging robot to the logistics vehicle after arriving at the dispatching area, and delivers it to the business area with charging demand according to the information of the charging work order for charging operation. From the perspective of deployment: the separation design of the charging robot and the mobile charging pile makes the mobile charging pile can be deployed separately in various charging scenes, and the charging robot only participates in the task when needed, for example, in high-demand areas, multiple mobile charging piles can be separately deployed to ensure resource coverage, and in low-demand areas, mobile charging piles in other areas can be dynamically dispatched, thereby reducing the idle and waste of charging resources; the mobile charging pile does not need to be attached to the charging robot at all times, and when cross-area dispatching, a single charging pile can be quickly transported to the target area by the logistics vehicle, and the charging robot can remain in the current business area to continue to serve other vehicles, avoiding long-term idling; in parking lots, residential areas and other scenes, mobile charging piles can be placed separately for fixed-point charging, and charging robots can handle more complex mobile tasks, and flexible deployment can meet the individual needs of multiple scenes.

[0049] In specific embodiments, the separable design makes the mobile charging pile serve as an independent charging unit, which can serve multiple vehicles at the same time, while the charging robot only needs to operate when transporting or dynamically adjusting, which greatly improves the utilization rate of charging resources. The separation design of the mobile charging pile and the charging robot simplifies the equipment maintenance process. The mobile charging pile can be repaired, replaced or dispatched for energy replenishment, without affecting the task execution of the charging robot. At the same time, the system has stronger scalability, and new mobile charging piles can be seamlessly integrated into the existing charging network. In an emergency or peak charging demand, mobile charging piles can be quickly transported from other business areas by logistics vehicles to dynamically supplement resources without scheduling the entire equipment. This flexibility enables the system to respond to unexpected demand and maximize the use of existing equipment.

[0050] In specific embodiments, the judgment of whether the current mobile charging pile can meet the expected charging demand is: mc ≥Ct If satisfied, the mobile charging pile is preferentially scheduled; if not satisfied, the chargeable time is calculated: And according to the demand within the chargeable time, it is judged whether the charging needs to be continued: remaining = C t -E mc × min(1, T mc ), the logistics vehicle is scheduled for continued charging, and the logistics vehicle arrival time T In response to the logistics vehicle arrival time T log-arrive not exceeding the remaining charging time T mc of the current mobile charging pile, the total charging time T total = T mc + T log ; in response to the logistics vehicle arrival time T log-arrive exceeding the remaining charging time T mc of the current mobile charging pile, the total charging time T total = T log-arrive + T log , the continued charging time Wherein, E mc represents the remaining amount of the current mobile charging pile, C t represents the expected charging amount, T mc represents the chargeable time of the current mobile charging pile, T other represents the time for the logistics vehicle to schedule the mobile charging pile from other business areas to the vehicle location, T base represents the time for the logistics vehicle to schedule the mobile charging pile from the charging base station, P mc represents the charging power of the mobile charging pile, d log represents the distance between the logistics vehicle and the vehicle to be charged, v log represents the average transportation speed of the logistics vehicle, P log represents the charging power of the logistics vehicle carrying the charging pile.

[0051] In a specific example, it is assumed that: the remaining amount of the vehicle to be charged R t = 10 KWh, the expected charging amount C t = 40 KWh. The remaining amount of the current mobile charging pile E mc = 20 KWh, the charging power P mc = 10 KW. The remaining amount of the logistics vehicle carrying the charging pile E log = 50 KWh, the charging power p log = 10 KWh. The distance of the mobile charging pile d mc = 5 km, the distance of the logistics vehicle d log = 10 km. The average speed of the logistics vehicle v log= 40km / h. Calculation process: the chargeable time of the current charging pile: The current charging pile can charge 20kWh for the electric vehicle, and the remaining demand is: C remaining = 40-20 = 20KWh; the arrival time of the logistics vehicle: The logistics vehicle will charge the remaining 20kWh of electricity: The total charging time: since the arrival time of the logistics vehicle T log-arrive = 15min is less than the remaining charging time of the current charging pile T mc = 2h, so the arrival time of the logistics vehicle can be calculated in parallel: T total = T mc + T log = 2+2 = 4h; Conclusion: in this case, the arrival time of the logistics vehicle does not exceed the remaining charging time of the charging pile, so the arrival time of the logistics vehicle does not need to be calculated additionally, and the entire charging process is parallel, with a total time of 4 hours.

[0052] In specific embodiments, the platform side dynamically adjusts and allocates charging resources based on the following rules: the distance between the vehicle to be charged and the mobile charging pile, whether the current electricity of the mobile charging pile meets the expected charging capacity of the vehicle to be charged, the usage status and idle time of the mobile charging pile after completing the current task, the charging urgency of the vehicle to be charged, and the waiting time of other reserved charging tasks. The platform side dynamically optimizes the deployment of charging resources according to real-time data, including: predicting future charging demand fluctuations in the business area in real time to schedule charging robots or logistics vehicles to deploy mobile charging piles in advance; in response to charging peaks in the business area, preferentially calling logistics vehicles in standby state to provide mobile charging services; during charging off-peak period, actively scheduling mobile charging piles for energy replenishment. The platform side can intelligently schedule and adjust priorities: based on multiple factors (such as the distance between the charging pile and the vehicle, the electricity of the charging pile, the charging urgency, etc.), the platform side can dynamically adjust the allocation of charging resources, and preferentially ensure the completion of high-priority charging demands; through intelligent adjustment of multiple factors, the platform can optimize the scheduling of charging resources in real time, avoid resource waste, and meet the urgent charging needs of vehicles, to improve the flexibility and response speed of the system. It can also predict charging demand and deploy resources in advance: by predicting future fluctuations in charging demand, the platform can schedule charging resources in advance to optimize resource deployment. This not only effectively deals with charging peaks, but also replenishes energy in advance during off-peak periods to avoid idle equipment. During the charging demand peak period, the platform side can preferentially schedule logistics vehicles to provide supplementary services, thereby ensuring the full utilization of charging equipment during the high demand period.

[0053] Figure 2 A flow chart of a charging method for an electric vehicle according to one specific embodiment of the invention is shown as follows: Figure 2As shown, the specific logic of the flow is as follows:

[0054] User demand initiation: the user scans the two-dimensional code or submits the charging demand through the APP, and the system confirms the demand.

[0055] Demand analysis and task allocation: the system determines whether there is a fixed charging pile in the area where the user is located. If there is a fixed charging pile, the user can directly scan the code or use the mobile phone to start charging. If there is no fixed charging pile, the system further analyzes the availability of resources in the area. After the user scans the code, the system verifies whether the charging pile is idle. If it is idle, the user can quickly complete self-service charging.

[0056] The allocation logic specifically includes: if there is a charging robot in the area, the robot is dispatched to move to the user's vehicle to complete charging; if there is no charging robot in the area, the system dispatches a logistics vehicle to transport a charging pile or a mobile battery device to the vehicle location. The system first determines whether the charging robot covers the user's demand location. If there is an available robot, it is automatically dispatched to move to the specified location. If the robot cannot cover it, the logistics vehicle will transport the powered device to the target location. The logistics vehicle can also supplement the reserves of mobile charging piles in the area to ensure service continuity.

[0057] After completing the charging, the system updates the task status and optimizes the resource allocation efficiency.

[0058] The electric vehicle charging method has the following advantages:

[0059] Flexible response to multiple scenarios: fixed and mobile charging modes are combined to meet the diverse needs of users in urban, suburban, and special scenarios.

[0060] Intelligent resource scheduling: the cloud platform analyzes and allocates resources (fixed piles, robots, and logistics vehicles) in real time to optimize operational efficiency.

[0061] Improved user experience: users do not need to worry about insufficient charging piles or charging difficulties in remote areas. They only need to scan the code to complete the demand submission.

[0062] Wide service coverage: not limited by fixed infrastructure, the logistics vehicle and mobile device expand the geographical boundaries of charging services.

[0063] Figure 3 A layout diagram of an electric vehicle charging system according to an embodiment of the application is shown, as Figure 3 As shown, a charging service system is built around a cloud platform, integrating fixed charging, mobile charging, and user interaction functional modules to achieve flexible and efficient electric vehicle charging services. Specifically, it includes:

[0064] 1. User terminal module. The function is to initiate the charging demand by the user through the mobile terminal device (APP). The implementation is: the user selects the charging mode (fixed charging / moving charging) in the APP; submits the specific location, time, etc. of the charging demand. Data flow embodiment: demand data is uploaded to the cloud platform to form a work order.

[0065] 2. Cloud platform module. The function is to serve as the control center of the system, process user demand and coordinate resource allocation. The main tasks include: receiving user-submitted charging demand; analyzing the current charging resource situation, including: the availability of fixed charging piles, the distribution state of mobile charging devices; generating and issuing task work orders, including: for fixed pile charging, notifying the user to go to the specified charging pile location, for mobile charging, dispatching logistics vehicles or charging robots to complete the service. Data interaction forms include: two-way communication with the user terminal to confirm the task status; interaction with hardware devices such as logistics vehicles, fixed charging piles, etc. to complete resource allocation.

[0066] 3. Fixed charging module. The function is to provide self-service charging services for users at fixed locations (communities, parking lots, etc.). Device composition includes: fixed charging piles (with code scanning charging function), charging guns (used to connect vehicle charging interfaces). The running process includes: the cloud platform notifies the user to go to the nearest fixed charging pile; the user scans the code to start the charging device. Data interaction forms include: fixed charging piles upload device status (idle / occupied) in real time; after charging is completed, the charging record is fed back to the cloud platform.

[0067] 4. Mobile charging module. The function is to provide flexible on-site charging services in the case where the user cannot access the fixed charging pile. Device composition includes: mobile charging pile (carried by logistics vehicle or mobile robot, can directly charge the vehicle), logistics vehicle (carrying mobile charging pile, going to the user's specified location). The running process is as follows: after the cloud platform receives the mobile charging demand, it generates a task work order; dispatches the logistics vehicle to carry the mobile charging pile to the user's location; after the logistics vehicle arrives, it connects the charging device with the user's vehicle to complete the charging task. Data interaction forms include: mobile devices feed back the location and task completion status to the cloud platform in real time.

[0068] 5. Logistics collaboration module. The function is to ensure the mobility of charging devices and provide support for charging services. Device composition includes: logistics vehicle (used for mobile battery pack transportation). The running logic is: when the charging demand in the region increases, the cloud platform dispatches the logistics vehicle to transport the mobile charging pile to the target area; regularly replenish the power of the service vehicle to improve the turnover efficiency of the device.

[0069] In specific embodiments, the charging base station is deployed in the form of a container in an area where energy replenishment charging can be performed, and the charging robot and logistics vehicle can transport the mobile charging pile to the charging base station for energy replenishment charging. The charging base station is deployed in the form of a container, which can facilitate energy replenishment charging in areas with high charging demand, and is particularly suitable for areas with temporary high charging demand. The deployment form of the container also helps to realize the rapid installation and movement of the base station.

[0070] In specific embodiments, the charging base station can also be configured with energy storage devices (such as lithium battery packs, super capacitors, or other forms of energy storage devices) inside, mainly for the following two functions: valley charging: during periods of low grid load and cheap electricity prices (such as at night), the energy storage device obtains electricity from the grid and stores it. During this process, the mobile charging pile inside the charging base station can be charged to replenish energy, making full use of the cost advantage of valley electricity prices. Peak discharge: during periods of high grid load and expensive electricity prices (such as during the daytime peak period), the energy storage device supplies power to the mobile charging pile to replenish energy. By reasonably allocating electricity during periods of fluctuating electricity prices, the energy storage device can effectively reduce the operating cost of the charging base station while improving the stability of the grid load.

[0071] In specific embodiments, the charging robot and mobile charging pile can be considered as a "small mobile base station", and its deployment scheme solves the problem that the existing fixed base station cannot cover the urban area, and the mobile charging car or mobile charging device is an integrated design, which is extremely high in cost and difficult to disassemble and store energy batteries for cross-regional deployment and scheduling, with significant technical advantages and economic benefits. This way combines the flexibility of the device and the efficiency of service coverage, which is specifically reflected in the following aspects:

[0072] 1. Flexibility of deployment and adaptability of scenarios: deploying the charging robot and mobile charging pile as a "small base station" can be flexibly dispersed in different areas according to the charging demand, without the need to concentrate in large fixed base stations. It is particularly suitable for scenarios such as urban parking lots, residential areas, and commercial plazas, where charging demand is concentrated but regionally uneven. In temporary peak scenarios, small base stations can be quickly deployed and moved to other areas after the event is over, avoiding the waste of resources of fixed base stations.

[0073] 2. Improve service efficiency and response capability: Small base stations can quickly respond to user charging demand in the service area by transporting mobile charging piles to the vehicle using charging robots, reducing user waiting time. When the charging demand in a certain business area decreases or there is a demand in other business areas, the logistics vehicle can be used to grab and transport the mobile charging pile on the charging robot to other areas with demand, dynamically adjusting the service range and improving resource utilization.

[0074] 3. Reduced construction cost: Compared with traditional large fixed base stations, small base stations do not require a large amount of civil engineering and supporting facilities, and only need to deploy charging robots and mobile charging piles in key areas.

[0075] 4. Improved energy utilization efficiency: Small base stations in different business areas can share energy through the delivery of mobile charging piles by logistics vehicles, balancing the power load in different areas.

[0076] 5. Better scalability: The components of small base stations (charging robots and mobile charging piles) are modular and separate designs, making it easy to add equipment or upgrade existing hardware in the future to meet growing charging demand.

[0077] The above description is only the preferred embodiment of the present application and the explanation of the applied technical principles. Those skilled in the art should understand that the scope of the present application is not limited to the technical solutions formed by the specific combination of the above technical features, and also covers other technical solutions formed by any combination of the above technical features or their equivalent features without departing from the above inventive concept. For example, the above features can be replaced with similar technical features disclosed in the present application (but not limited to) to form a technical solution.

Claims

1. A charging method of an electric vehicle, characterized by, Comprise: S1: in response to receiving the charging demand of the client, analyzing to determine the business area of the vehicle to be charged; S2: based on the configuration of the charging resources in the business area, the charging resources including mobile charging piles and charging robots, the platform end allocates charging resources according to the charging demand and charging priority, specifically including: S21: in response to the availability of the mobile charging pile and the charging robot in the business area, the platform end sends a charging work order to the charging staff in the business area, controls the charging robot to carry the mobile charging pile to the position of the vehicle to be charged, inserts the gun and starts charging; S22: in response to the unavailability of the charging resources in the business area, the platform end sends the charging work order to the logistics car charging personnel, pushes the mobile charging pile of the available charging base station around the logistics car according to the distance, and the charging personnel loads the mobile charging pile to the charging base station according to the prompt of the platform end and distributes it to the position of the vehicle to be charged, and inserts the gun and starts charging; The S22 further comprises that after receiving the charging work order, the platform end analyzes the charging resources of other business areas around the business area of the vehicle to be charged, in response to the availability of the charging resources in the other business areas, and the scheduling distance is less than the distance from the logistics car to the charging base station to schedule the mobile charging pile, the charging work order is sent to the logistics car and the other business areas, the logistics car is scheduled to the other business areas to load the available mobile charging pile from the charging robot and distribute it to the position of the vehicle to be charged, and insert the gun and start charging; The charging demand includes vehicle type, vehicle position information, remaining power information and expected charging amount, the platform end schedules the mobile charging pile according to the remaining power information, expected charging amount and available power of the mobile charging pile; The expected charging amount is calculated according to the charging target power submitted by the user and the current vehicle remaining power; If the user does not submit a specific charging target, the expected charging amount is estimated according to the battery capacity of the vehicle model and the historical charging record; In response to the fact that the current power of the available mobile charging pile in the current business area does not meet the demand of the expected charging amount, the platform end calculates the chargeable time according to the current power of the mobile charging pile, and schedules other mobile charging piles in the current business area or schedules the logistics car charging personnel to load the charging pile from the nearest business area or charging base station to the position of the vehicle to be charged within the chargeable time of the current mobile charging pile, and continues to complete the remaining charging task; determining whether the mobile charging pile can meet the expected charging demand: ; if yes, the mobile charging pile is preferentially dispatched; if no, the chargeable time of the mobile charging pile is calculated: , and whether the mobile charging pile needs to be charged again is determined according to the demand within the chargeable time: , the logistics vehicle is dispatched to charge again, and the arrival time of the logistics vehicle is calculated: ; in response to the arrival time of the logistics vehicle not exceeding the remaining charging time of the current mobile charging pile: , the total charging time: ; in response to the arrival time of the logistics vehicle exceeding the remaining charging time of the current mobile charging pile: , the total charging time: , the charging time again: , wherein, represents the remaining capacity of the current mobile charging pile, represents the expected charging capacity, represents the chargeable time of the current mobile charging pile, represents the time for the logistics vehicle to dispatch the mobile charging pile from the other business area to the vehicle location, represents the time for the logistics vehicle to dispatch the mobile charging pile from the charging base station, represents the charging power of the mobile charging pile, represents the distance between the logistics vehicle and the vehicle to be charged, represents the average transportation speed of the logistics vehicle, represents the charging power of the logistics vehicle carrying the charging pile.

2. The charging method of the electric vehicle according to claim 1, characterized by, The charging resources deployed in the business area are specifically a plurality of mobile charging piles and charging robots, the mobile charging pile can be detachably carried on the charging robot, in response to the cross-area scheduling charging work order issued by the platform end, the logistics car cooperates with the charging robot to transfer the mobile charging pile carried on the charging robot to the logistics car after arriving at the scheduled area, and distributes it to the business area with charging demand according to the information of the charging work order for charging operation.

3. The charging method of the electric vehicle according to claim 1, characterized by, The platform end dynamically adjusts and allocates charging resources based on the following rules: the distance between the to-be-charged vehicle and the mobile charging pile, whether the current power of the mobile charging pile meets the expected charging amount of the to-be-charged vehicle, the use state and the idle time after completing the current task of the mobile charging pile, the charging urgency of the to-be-charged vehicle, and the waiting time of other reserved charging tasks.

4. The charging method of the electric vehicle according to claim 1, characterized by, The platform end dynamically optimizes the deployment of charging resources according to real-time data, specifically including: predicting future charging demand fluctuations in the business area according to real-time data, and scheduling the charging robot or the logistics vehicle to deploy the mobile charging pile in advance; in response to the occurrence of a charging peak in the business area, preferentially calling the logistics vehicle in standby state to provide mobile charging service; during a charging low-peak period, actively scheduling the mobile charging pile to supplement energy.

5. A charging system for an electric vehicle, characterized by The platform end, the mobile charging pile, the charging robot, the logistics vehicle and the charging base station for performing the charging method as claimed in any one of claims 1-4 are included.

6. The charging system of claim 5, wherein The business area also includes fixed charging piles, and when the fixed charging piles are idle, charging is preferentially performed through the fixed charging piles.

7. The charging system of claim 5, wherein The charging base station is deployed in the form of a container in an area where energy supplementing charging can be performed.

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