System for new energy automobile service and management

Abstract

The invention discloses a system for new energy automobile service and management. The system comprises an order receiving module, an order distribution module, an information acquisition module, an information processing module and an order settlement module. According to the invention, through dynamic adjustment, in a complex road condition environment, the driving route is automatically adjusted by using real-time traffic information, traffic prediction and traffic control modes, so that a renter can safely and quickly drive a new energy automobile to arrive at a destination, and the satisfaction degree of a customer is ensured; through a multi-objective optimization method, a service sequence is dynamically adjusted through a feedback mechanism according to real-time changes of vehicle states and customer demands so as to cope with customer demand changes, and dynamic planning is used for calculation in a given time window so as to dynamically dispatch vehicles and plan paths by minimizing total driving time and maximizing customer satisfaction; according to the route plan and the electric quantity condition of the driver, charging suggestions are provided for the new energy automobile, and the driver is helped to better arrange a charging plan.

Description

Technical Field

[0001] The present invention relates to the technical field of new energy vehicle management, and in particular to a system for new energy vehicle service and management. Background Art

[0002] New energy vehicles are vehicles that use non-traditional fuels as their power source, reducing dependence on traditional fossil fuels such as oil, reducing the pollution and greenhouse gas emissions caused by vehicle emissions, and promoting sustainable development. With the popularization of new energy vehicles and the rapid development of the rental market, in order to optimize the rental process and improve user experience, the new energy vehicle service management system came into being. The system can help operators achieve comprehensive management and data analysis of vehicle information, provide data support for better serving customers and formulating more reasonable operation strategies, and accelerate the transformation of the automotive industry towards green and intelligent.

[0003] The existing new energy vehicle service management system requires dispatchers to spend a lot of time and energy to perform complex calculations and judgments, making it difficult to make decisions quickly, affecting the efficiency and timeliness of dispatch. It is also impossible to efficiently dispatch vehicles and plan routes based on the real-time location of the vehicle and changes in road conditions. The dispatch quality is difficult to guarantee, affecting the service quality. Summary of the invention

[0004] The purpose of the present invention is to provide a system for new energy vehicle service and management to solve the problems raised in the above background technology.

[0005] To achieve the above-mentioned purpose, the present invention provides the following technical solutions: a system for new energy vehicle service and management, comprising an order receiving module, an order allocating module, an information collecting module, an information processing module, and an order settlement module;

[0006] Order receiving module, receiving customer orders through telephone, online APP, and WeChat channels;

[0007] The order allocation module arranges vehicles reasonably based on multiple factors such as customer needs, vehicle status, and changes in distance and road conditions;

[0008] The information collection module collects vehicle status, driving data, and environmental information in real time through sensors, 5G communicators, Internet of Vehicles equipment, Beidou positioning equipment, and on-board cameras installed on new energy vehicles. The vehicle status includes the vehicle's driving route, speed, and battery power. The 5G communicator and Internet of Vehicles equipment are used to realize data communication between vehicles and the cloud, vehicles and vehicles, and vehicles and infrastructure.

[0009] An information processing module is used to analyze the remaining battery level of the vehicle and compare and analyze the changes in real-time battery level and vehicle speed with the recorded battery information;

[0010] The order settlement module settles the bill based on the vehicle usage time, driving distance, vehicle damage, and charging fees;

[0011] The new energy vehicle service and management system has the following specific steps:

[0012] S1. The user selects the desired car model and enters the rental time, return time, pick-up location and personal identity information to the order receiving module through the phone, network APP or WeChat channel. The order receiving module generates a pick-up code based on the information filled in by the user. The order receiving module sends the generated pick-up code to the user end through the 5G communicator. The order receiving module sends the information filled in by the user to the order allocation module through the 5G communicator.

[0013] S2. The order allocation module dispatches nearby idle new energy vehicles that meet the requirements according to the information filled in by the user, detects the power of the corresponding new energy vehicles, retrieves nearby standby new energy vehicles based on the coordinate information of the pick-up location entered by the user, calculates the distance from the coordinates of the idle new energy vehicle to the coordinates of the pick-up location entered by the user, retrieves the coordinate information of the special vehicle through the Beidou positioning device, marks the coordinates of the new energy vehicle as (lon1, lat1), and the coordinates of the pick-up location as (lon2, lat2), and calculates the coordinate distance between the coordinates of the new energy vehicle and the pick-up location through the following formula:

[0014]

[0015] Where r is the radius of the Earth, usually 6371 km, Δlat = lat2-lat1 and Δlon = lon2-lon1;

[0016] When the coordinate distance between the new energy vehicle and the vehicle pickup location is calculated to be the shortest distance, the new energy vehicle is allocated to the user;

[0017] After determining the new energy vehicles, the order allocation module uses tools such as map matching, road network analysis, and 3D city modeling to plan the shortest distance and lowest cost driving route to reduce the power consumption cost of new energy vehicles, which is described by the following optimization formula:

[0018]

[0019] d ij It represents the distance from the coordinate i of the new energy vehicle to the coordinate j of the pickup location. It is a 0-1 variable. ij Indicates whether to select the path from the new energy vehicle coordinate i to the pick-up location coordinate j. At the same time, according to the vehicle's driving speed and road speed limit, plan the route with the fastest driving time:

[0020]

[0021] t ij It represents the driving time from the coordinate i of the new energy vehicle to the coordinate j of the pick-up location. In order to ensure customer satisfaction, the path planning must also meet the customer's service time window requirements:

[0022] a i ≤t i,arrive ≤ b i

[0023] a i and b i represents the service time window of the i-th customer;

[0024] To ensure that new energy vehicles can be delivered on time, the leasing personnel will verify the vehicle pickup code through the vehicle pickup code verifier installed on the new energy vehicle. If the verification is passed, the use of the new energy vehicle will be authorized;

[0025] S3. The rental personnel will send the destination to the Beidou positioning device on the new energy vehicle. In the Beidou positioning device, the user enters the address or name of the destination. After obtaining the coordinate information of the starting point and the end point, the driving route is dynamically adjusted and updated according to the real-time location of the vehicle and changes in road conditions, using real-time traffic information, traffic prediction and traffic control methods. The actual transportation time in the route planning can be expressed as:

[0026] T actual (t) = T predicted (t)+Δt traffic (t)

[0027] T actual (t) is the actual driving time, T predicted (t) is the estimated travel time, Δt traffic (t) indicates the time delay caused by changes in traffic conditions. Through dynamic adjustment, it can effectively respond to sudden changes in traffic conditions and improve the flexibility and efficiency of vehicle dispatch, ensuring that the rental personnel can drive new energy vehicles to their destinations safely and quickly;

[0028] In addition, during the driving of new energy vehicles, sensors, Beidou positioning equipment, and on-board cameras installed on new energy vehicles can be used to collect vehicle status, driving data, and environmental information in real time;

[0029] The real-time changes in vehicle status and customer demand require a feedback mechanism to dynamically adjust the service order to cope with changes in customer demand. Taking into account driving costs, time constraints, and vehicle losses, a multi-objective optimization method is adopted, and its comprehensive objective function is expressed as:

[0030] min(λ1·C fuel +λ2·C time +λ3·C quality)

[0031] C fuel represents the electricity cost, C time represents the travel time cost, C quality represents the vehicle loss cost, λ1,λ2,λ3 are weight coefficients, reflecting the importance of each objective in the optimization;

[0032] The comprehensive application of the above strategies can achieve efficient vehicle scheduling and path planning in complex road conditions;

[0033] S4. Based on the collected vehicle status information, the information processing module analyzes the collected vehicle driving route, speed, and battery power, uses precise SOC technology to accurately estimate the remaining power of the vehicle battery, and compares and analyzes the changes in real-time power and speed with the recorded battery information, and provides charging suggestions for new energy vehicles based on the driver's itinerary and power status;

[0034] S5. The information collection module collects the vehicle type, rental time and vehicle condition information selected by the rental personnel, and updates the vehicle status data in real time, such as mileage, fuel consumption, and maintenance records. Based on the collected data and the preset charging standards for different vehicle models, different time periods, and different vehicle conditions, a fee settlement sheet is automatically generated, which lists the various fees and calculation basis in detail. The fee settlement sheet is sent to the user end through the 5G communicator. After verifying that the fee settlement sheet is correct, the user pays through online payment.

[0035] Furthermore, in S5, the preset charging standards for different vehicle types, different time periods, and different vehicle conditions are as follows:

[0036] Automatically determine the type of rental vehicle through vehicle identification technology; set different basic rents and charging standards according to the vehicle model; record the start and end time of the rental vehicle through on-board equipment or mobile phone APP; calculate the fee according to the preset time-based charging standards based on the length of the rental time; collect vehicle status data in real time through on-board sensors and monitoring systems; evaluate the vehicle's newness, maintenance status, etc. based on the data, and adjust the charging standards accordingly.

[0037] Compared with the prior art, the beneficial effects of the present invention are as follows: through dynamic adjustment, in a complex road environment, according to the real-time position of the vehicle and changes in road conditions, the real-time traffic information, traffic prediction and traffic control methods are used to automatically adjust the driving route, effectively respond to sudden changes in traffic conditions, and achieve efficient vehicle scheduling and path planning, thereby improving the overall service quality, reducing operating costs, and ensuring that the rental personnel can drive new energy vehicles to the destination safely and quickly to ensure customer satisfaction; and through a multi-objective optimization method, according to the real-time changes in vehicle status and customer needs, the service sequence needs to be dynamically adjusted through a feedback mechanism to respond to changes in customer needs, and dynamic programming is used to calculate within a given time window to dynamically schedule vehicles and path planning to minimize the total driving time and maximize customer satisfaction; according to the driver's itinerary plan and power status, charging suggestions are provided for new energy vehicles to help drivers better arrange charging plans, avoid new energy vehicles from breaking down on the road due to insufficient power, ensure that the rental personnel can reach the destination in the shortest time, and improve service quality. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] Figure 1 is a system flow chart of the present invention;

[0039] Figure 2 The figure is a flow chart of calculating the total power consumption of the present invention. DETAILED DESCRIPTION

[0040] The technical solution of the present invention is described in detail below through specific embodiments.

[0041] See also Figure 1-2 ,The present invention provides a system for new energy vehicle service and management, including an order receiving module, an order allocating module, an information collecting module, an information processing module, and an order settlement module;

[0042] Order receiving module, receiving customer orders through telephone, online APP, and WeChat channels;

[0043] The order allocation module arranges vehicles reasonably based on multiple factors such as customer needs, vehicle status, and changes in distance and road conditions;

[0044] The information collection module collects vehicle status, driving data, and environmental information in real time through sensors, 5G communicators, Internet of Vehicles equipment, Beidou positioning equipment, and on-board cameras installed on new energy vehicles. The vehicle status includes the vehicle's driving route, speed, and battery power. The 5G communicator and Internet of Vehicles equipment are used to realize data communication between vehicles and the cloud, vehicles and vehicles, and vehicles and infrastructure.

[0045] An information processing module is used to analyze the remaining battery level of the vehicle and compare and analyze the changes in real-time battery level and vehicle speed with the recorded battery information;

[0046] The order settlement module settles the bill based on the vehicle usage time, driving distance, vehicle damage, and charging fees;

[0047] The new energy vehicle service and management system has the following specific steps:

[0048] S1. The user selects the desired car model and enters the rental time, return time, pick-up location and personal identity information to the order receiving module through the phone, network APP or WeChat channel. The order receiving module generates a pick-up code based on the information filled in by the user. The order receiving module sends the generated pick-up code to the user end through the 5G communicator. The order receiving module sends the information filled in by the user to the order allocation module through the 5G communicator.

[0049] S2. The order allocation module dispatches nearby idle new energy vehicles that meet the requirements according to the information filled in by the user, detects the power of the corresponding new energy vehicles, retrieves nearby standby new energy vehicles based on the coordinate information of the pick-up location entered by the user, calculates the distance from the coordinates of the idle new energy vehicle to the coordinates of the pick-up location entered by the user, retrieves the coordinate information of the special vehicle through the Beidou positioning device, marks the coordinates of the new energy vehicle as (lon1, lat1), and the coordinates of the pick-up location as (lon2, lat2), and calculates the coordinate distance between the coordinates of the new energy vehicle and the pick-up location through the following formula:

[0050]

[0051] Where r is the radius of the Earth, usually 6371 km, Δlat = lat2-lat1 and Δlon = lon2-lon1;

[0052] When the coordinate distance between the new energy vehicle and the vehicle pickup location is calculated to be the shortest distance, the new energy vehicle is allocated to the user;

[0053] After determining the new energy vehicles, the order allocation module uses tools such as map matching, road network analysis, and 3D city modeling to plan the shortest distance and lowest cost driving route to reduce the power consumption cost of new energy vehicles, which is described by the following optimization formula:

[0054]

[0055] d ij It represents the distance from the coordinate i of the new energy vehicle to the coordinate j of the pickup location. It is a 0-1 variable. ijIndicates whether to select the path from the new energy vehicle coordinate i to the pick-up location coordinate j. At the same time, according to the vehicle's driving speed and road speed limit, plan the route with the fastest driving time:

[0056]

[0057] t ij It represents the driving time from the coordinate i of the new energy vehicle to the coordinate j of the pick-up location. In order to ensure customer satisfaction, the path planning must also meet the customer's service time window requirements:

[0058] a i ≤t i,arrive ≤ b i

[0059] a i and b i represents the service time window of the i-th customer;

[0060] To ensure that new energy vehicles can be delivered on time, the leasing personnel will verify the vehicle pickup code through the vehicle pickup code verifier installed on the new energy vehicle. If the verification is passed, the use of the new energy vehicle will be authorized;

[0061] S3. The rental personnel will convey the destination to the Beidou positioning device on the new energy vehicle. In the Beidou positioning device, the user inputs the address or name of the destination, and the system uses the built-in map data and geocoding technology to convert the address or name into corresponding coordinate information. At the same time, the Beidou positioning device will also obtain the coordinate information of the current location in real time;

[0062] After obtaining the coordinate information of the starting point and the end point, real-time traffic information, that is, changes in road conditions, is obtained through various channels such as Beidou positioning equipment, traffic cameras, social media, and traffic broadcasts. According to the real-time location of the vehicle and changes in road conditions, the real-time traffic information, traffic prediction, and traffic control methods are used to dynamically adjust and update the driving route. The actual transportation time in the route planning can be expressed as:

[0063] T actual (t) = T predicted (t)+Δt traffic (t)

[0064] T actual (t) is the actual driving time, T predicted (t) is the estimated travel time, Δt traffic (t) indicates the time delay caused by changes in traffic conditions. Through dynamic adjustment, it can effectively respond to sudden changes in traffic conditions and improve the flexibility and efficiency of vehicle dispatch, ensuring that the rental personnel can drive new energy vehicles to the destination safely and quickly to ensure customer satisfaction;

[0065] In addition, during the driving process of new energy vehicles, sensors, Beidou positioning equipment, and on-board cameras installed on new energy vehicles can collect vehicle status, driving data, and environmental information in real time, which not only provides drivers with a safer and more convenient driving experience, but also provides strong support for the management and optimization of new energy vehicles.

[0066] The real-time changes in vehicle status and customer demand require a feedback mechanism to dynamically adjust the service order to cope with changes in customer demand. Taking into account driving costs, time constraints, and vehicle losses, a multi-objective optimization method is adopted, and its comprehensive objective function is expressed as:

[0067] min(λ1·C fuel +λ2·C time +λ3·C quality )

[0068] C fuel represents the electricity cost, C time represents the travel time cost, C quality represents the vehicle loss cost, λ1,λ2,λ3 are weight coefficients, reflecting the importance of each objective in the optimization;

[0069] The combined use of the above strategies can achieve efficient vehicle dispatching and route planning in complex road conditions, thereby improving overall service quality, reducing operating costs, and ensuring customer satisfaction;

[0070] S4. Based on the collected vehicle status information, the information processing module analyzes the collected vehicle driving route, speed, and battery power, uses precise SOC technology to accurately estimate the remaining power of the vehicle battery, and compares and analyzes the changes in real-time power and speed with the recorded battery information;

[0071] According to the driver's itinerary and power consumption, charging suggestions are provided for new energy vehicles. First, the total power consumption is calculated as follows:

[0072] Obtain the current remaining battery capacity (SOC), as well as the rated capacity (C) and voltage (U) of the battery through the vehicle's battery management system (BMS);

[0073] Obtain the driver's planned travel route, including the starting point, end point and passing points;

[0074] Obtain three-dimensional terrain information of each road in the itinerary, such as slope, curvature, length, and real-time traffic conditions, such as congestion and accident information;

[0075] The power consumption of the vehicle on each road is calculated based on the vehicle's driving power consumption parameters and the three-dimensional terrain information of each road. The power consumption calculation takes into account factors such as slope coefficient, curvature coefficient and length coefficient, as well as the impact of real-time traffic conditions on driving speed and energy consumption;

[0076]

[0077] The slope will increase the vehicle's driving resistance, thus affecting the power consumption. The slope power consumption adjustment factor is calculated based on the slope percentage:

[0078] Slope power consumption adjustment factor = 1 + f (slope %)

[0079] Among them, f (slope%) is a function of the slope percentage. The greater the slope, the greater the adjustment factor;

[0080] Road curvature also affects the vehicle's driving efficiency and power consumption. The curvature power consumption adjustment factor is calculated based on the curvature radius:

[0081] Curvature power consumption adjustment coefficient = 1 + g (curvature radius)

[0082] Among them, g (radius of curvature) is a function of the radius of curvature. The smaller the radius of curvature (the more curved the road), the larger the adjustment coefficient;

[0083] Calculate the total power consumption of the vehicle on each road by combining the basic power consumption, the slope power consumption adjustment factor and the curvature power consumption adjustment factor;

[0084] Total power consumption = basic power consumption × slope power consumption adjustment coefficient × curvature power consumption adjustment coefficient;

[0085] Secondly, when the current remaining battery power minus the total power consumption < the set threshold, the remaining power cannot support the vehicle to reach the destination. The Beidou positioning device searches for the location of nearby charging stations, updates the driving destination based on the location of the charging stations, and plans the driving route from the current location of the vehicle to the charging station, as well as the driving route to the final destination after charging, to help the driver better arrange the charging plan;

[0086] S5. Based on the information collection module, the type of vehicle, rental time and vehicle condition information selected by the rental personnel are collected, and the vehicle status data, such as mileage, fuel consumption, and maintenance records, are updated in real time. Based on the collected data, the type of the rental vehicle is automatically determined through vehicle identification technology; different basic rents and charging standards are set according to the vehicle model; the start and end time of the rental vehicle are recorded through the vehicle-mounted device or mobile phone APP; the fee is calculated according to the preset time-based charging standard based on the length of the rental time; the vehicle status data is collected in real time through the vehicle-mounted sensors and monitoring system; the newness and maintenance status of the vehicle are evaluated based on the data, and the charging standard is adjusted accordingly;

[0087] Combined with the preset charging standards for different vehicle models, different time periods, and different vehicle conditions, the fee settlement sheet is automatically generated, listing in detail the various fees and calculation basis, and the fee settlement sheet is sent to the user end through the 5G communicator, which is convenient for users to check the settlement sheet and allows rental personnel to query and check the fees through the APP, providing users with inquiry and complaint channels to ensure the fairness and accuracy of the settlement results. After checking that the fee settlement sheet is correct, the user pays through online payment;

[0088] The intelligent settlement system based on vehicle type, time and condition can realize automatic calculation and settlement of vehicle usage fees, thus improving service efficiency and customer satisfaction.

[0089] The above description is only a preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can make equivalent replacements or changes according to the technical scheme and inventive concept of the present invention within the technical scope disclosed by the present invention, which should be covered by the protection scope of the present invention.

Claims

1. A system for new energy vehicle service and management, characterized in that: It includes order receiving module, order distribution module, information collection module, information processing module and order settlement module; Order receiving module, receiving customer orders through telephone, online APP, and WeChat channels; The order allocation module arranges vehicles reasonably based on multiple factors such as customer needs, vehicle status, and changes in distance and road conditions; The information collection module collects vehicle status, driving data, and environmental information in real time through sensors, 5G communicators, Internet of Vehicles equipment, Beidou positioning equipment, and on-board cameras installed on new energy vehicles. The vehicle status includes the vehicle's driving route, speed, and battery power. The 5G communicator and Internet of Vehicles equipment are used to realize data communication between vehicles and the cloud, vehicles and vehicles, and vehicles and infrastructure. An information processing module is used to analyze the remaining battery level of the vehicle and compare and analyze the changes in real-time battery level and vehicle speed with the recorded battery information; The order settlement module settles the bill based on the vehicle usage time, driving distance, vehicle damage, and charging fees; The new energy vehicle service and management system has the following specific steps: S1. The user selects the desired car model and enters the rental time, return time, pick-up location and personal identity information to the order receiving module through the phone, network APP or WeChat channel. The order receiving module generates a pick-up code based on the information filled in by the user. The order receiving module sends the generated pick-up code to the user end through the 5G communicator. The order receiving module sends the information filled in by the user to the order allocation module through the 5G communicator. S2. The order allocation module dispatches nearby idle new energy vehicles that meet the requirements according to the information filled in by the user, detects the power of the corresponding new energy vehicles, retrieves nearby standby new energy vehicles based on the coordinate information of the pick-up location entered by the user, calculates the distance from the coordinates of the idle new energy vehicle to the coordinates of the pick-up location entered by the user, retrieves the coordinate information of the special vehicle through the Beidou positioning device, marks the coordinates of the new energy vehicle as (lon1, lat1), and the coordinates of the pick-up location as (lon2, lat2), and calculates the coordinate distance between the coordinates of the new energy vehicle and the pick-up location through the following formula: Where r is the radius of the Earth, usually 6371 km, Δlat = lat2-lat1 and Δlon = lon2-lon1; When the coordinate distance between the new energy vehicle and the pick-up location is calculated to be the shortest, a decision is made quickly to allocate the new energy vehicle to the user; After determining the new energy vehicles, the order allocation module uses tools such as map matching, road network analysis, and 3D city modeling to plan the shortest distance and lowest cost driving route to reduce the power consumption cost of new energy vehicles, which is described by the following optimization formula: d ij It represents the distance from the coordinate i of the new energy vehicle to the coordinate j of the pickup location. It is a 0-1 variable. ij Indicates whether to select the path from the new energy vehicle coordinate i to the pick-up location coordinate j. At the same time, according to the vehicle's driving speed and road speed limit, plan the route with the fastest driving time: t ij It represents the driving time from the coordinate i of the new energy vehicle to the coordinate j of the pick-up location. In order to ensure customer satisfaction, the path planning must also meet the customer's service time window requirements: a i ≤t i,arrive ≤b i a i and b i represents the service time window of the i-th customer; To ensure that new energy vehicles can be delivered on time, the leasing personnel will verify the vehicle pickup code through the vehicle pickup code verifier installed on the new energy vehicle. If the verification is passed, the use of the new energy vehicle will be authorized; S3. The rental personnel will send the destination to the Beidou positioning device on the new energy vehicle. In the Beidou positioning device, the user enters the address or name of the destination. After obtaining the coordinate information of the starting point and the end point, the driving route is dynamically adjusted and updated according to the real-time location of the vehicle and changes in road conditions, using real-time traffic information, traffic prediction and traffic control methods. The actual transportation time in the route planning can be expressed as: T actual (t)=T predicted (t)+Δt traffic (t) T actual (t) is the actual driving time, T predicted (t) is the estimated travel time, Δt traffic (t) indicates the time delay caused by changes in traffic conditions. Through dynamic adjustment, it can effectively respond to sudden changes in traffic conditions and improve the flexibility and efficiency of vehicle dispatch, ensuring that the rental personnel can drive new energy vehicles to their destinations safely and quickly; In addition, during the driving of new energy vehicles, sensors, Beidou positioning equipment, and on-board cameras installed on new energy vehicles can be used to collect vehicle status, driving data, and environmental information in real time; The real-time changes in vehicle status and customer demand require a feedback mechanism to dynamically adjust the service order to cope with changes in customer demand. Taking into account driving costs, time constraints, and vehicle losses, a multi-objective optimization method is adopted, and its comprehensive objective function is expressed as: min(λ1·C fuel +λ2·C time +λ3·C quality ) C fuel represents the electricity cost, C time represents the travel time cost, C quality represents the vehicle loss cost, λ1,λ2,λ3 are weight coefficients, reflecting the importance of each objective in the optimization; The comprehensive application of the above strategies can achieve efficient vehicle scheduling and path planning in complex road conditions; S4. Based on the collected vehicle status information, the information processing module analyzes the collected vehicle driving route, speed, and battery power, uses precise SOC technology to accurately estimate the remaining power of the vehicle battery, and compares and analyzes the changes in real-time power and speed with the recorded battery information, and provides charging suggestions for new energy vehicles based on the driver's itinerary and power status; S5. The information collection module collects the vehicle type, rental time and vehicle condition information selected by the rental personnel, and updates the vehicle status data in real time, such as mileage, fuel consumption, and maintenance records. Based on the collected data and the preset charging standards for different vehicle models, different time periods, and different vehicle conditions, a fee settlement sheet is automatically generated, which lists the various fees and calculation basis in detail. The fee settlement sheet is sent to the user end through the 5G communicator. After verifying that the fee settlement sheet is correct, the user pays through online payment.

2. A system for new energy vehicle service and management based on claim 1, characterized in that: In S5, the preset charging standards for different vehicle types, different time periods, and different vehicle conditions are as follows: Automatically determine the type of rental vehicle through vehicle identification technology; set different basic rents and charging standards according to the vehicle model; record the start and end time of the rental vehicle through on-board equipment or mobile phone APP; calculate the fee according to the preset time-based charging standards based on the length of the rental time; collect vehicle status data in real time through on-board sensors and monitoring systems; evaluate the vehicle's newness, maintenance status, etc. based on the data, and adjust the charging standards accordingly.

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