New energy automobile charging and control method based on dynamic demand

Abstract

The invention provides a new energy vehicle charging and control method based on dynamic demands, and belongs to the technical field of vehicle control, and the method comprises the steps: determining the position and residual electric quantity of each vehicle in an area range in real time, and calculating the power consumption rate and the charging time of each vehicle; a passenger with a travel intention sets a travel destination and starting and ending time, different vehicle use requirements at different time points in a regional range are determined, and a plurality of control plans are generated on the basis of meeting the vehicle use requirements of the passengers and short charging time of the vehicles according to the positions of the vehicles and the current travel planned routes of the vehicles; and the system performs real-time control on each vehicle according to the control plan under the conditions that each transportation task is completed, an accident does not occur and traffic rules do not need to be obeyed. According to the new energy vehicle charging and control method based on the dynamic demand, resource consumption generated by vehicle driving is greatly avoided, the travel requirements of all passengers are met, and the use efficiency of the vehicle is improved.

Description

Technical Field

[0001] The present invention belongs to the field of vehicle control technology, and more specifically, to a charging and control method for a new energy vehicle based on dynamic demand. Background Art

[0002] New energy vehicles are becoming more and more popular. The advantages of new energy vehicles are energy saving and unmanned driving. With the continuous development of unmanned driving technology, it will eventually completely replace manual labor and realize remote control of vehicles. Although new energy vehicles do not need to be refueled, they need to be charged when the battery is low. The current method is for new energy vehicle owners to search for the location of nearby charging piles and charging points and then select a suitable one and drive in. However, there is a problem that there may be congestion caused by vehicles queuing for charging.

[0003] The main purpose of the vehicle is to meet the travel needs of each passenger. With the continuous development of driverless technology, in the future, a comprehensive system can be used to track the location and speed of each vehicle in the area in real time, and ultimately achieve remote control of each vehicle. It is precisely because of the above advantages that car accidents will be significantly reduced, and traffic congestion and other problems can be effectively avoided. And because there is no need for a driver, the vehicle can be completely entrusted to the system for hosting, and revenue can be increased by transporting other passengers. However, the existing vehicle usage methods consume a large amount of resources in total, which is prone to traffic congestion and queuing for charging. The efficiency of vehicle use is not high, and there is a lot of meaningless driving. Summary of the invention

[0004] The purpose of the present invention is to provide a new energy vehicle charging and control method based on dynamic demand, aiming to solve the problems of large total resource consumption, low vehicle utilization efficiency and a large amount of meaningless driving.

[0005] To achieve the above purpose, the technical solution adopted by the present invention is: to provide a new energy vehicle charging and control method based on dynamic demand, including: Determine in real time the position and remaining power of each vehicle in the area, calculate the power consumption rate of each vehicle and the time required for charging; mark the position of each charging pile and charging point, clarify the number of passengers in each vehicle, their respective destinations and the expected time to arrive at the destination; passengers with travel intentions set the destination and start and end times of the trip, clarify the different vehicle needs at different time points in the area, and generate multiple control plans based on the position of each vehicle and the current planned route of each vehicle to meet the vehicle needs of each passenger and the shorter charging time of the vehicle; the system controls each vehicle in real time according to the control plan while completing each transportation task and without causing accidents or complying with traffic regulations.

[0006] In a possible implementation, the real-time determination of the position and remaining power of each vehicle within the area includes: Marking the location, speed, direction of travel, number of passengers in the vehicle and the destinations of the passengers on the map; The time it takes for each of the vehicles to reach a preset destination and the remaining power are analyzed and estimated.

[0007] In a possible implementation, the calculating the power consumption rate and the time required for charging of each vehicle includes: The most efficient charging location and charging time for each vehicle is determined while ensuring that the vehicle can arrive at the preset destination at the designated time. The system plans the charging of each vehicle according to the location of each vehicle and avoids queues and congestion during charging.

[0008] In a possible implementation, the routes planned according to the positions of the vehicles and their current travels include: When charging is required and passengers in the vehicle get off, some passengers are transferred at an appropriate time point according to the destinations of the passengers in the vehicle and the expected arrival time.

[0009] In a possible implementation, transferring some passengers at an appropriate time point includes: In order to reduce energy consumption while meeting passengers' travel requirements, passengers are adjusted and transferred between the corresponding vehicles at appropriate locations and times, thereby increasing the utilization rate of the vehicles and reducing the total resource consumption of each vehicle in completing each travel task.

[0010] In a possible implementation, after the passenger with travel intention sets the travel destination and start and end time, the method further includes: The positions of passengers in the vehicle and passengers who need to travel are determined in real time, the time for the passengers to reach the designated positions is calculated, and the time for the vehicle to reach the passenger set position is inferred based on the control plan.

[0011] In a possible implementation, the generating of multiple control plans based on satisfying the vehicle use needs of each passenger and the shorter charging time of the vehicle includes: A search range is established based on the remoteness of each passenger who needs a vehicle and the location of the passenger. Multiple driving routes of the vehicle that meet the transportation requirements are fitted within the search range by random combination, and the total power consumption of each driving route and the time required for subsequent charging are calculated.

[0012] In a possible implementation, the generating of multiple control plans based on satisfying the vehicle use needs of each passenger and the shorter charging time of the vehicle includes: According to the control plan, the current power consumption of the vehicle is analyzed, and based on the distance from each charging pile and charging point in the map, the charging location and charging time are set in the area where the vehicle has higher charging efficiency, ultimately meeting the travel requirements of each passenger and ensuring the continuous driving of the vehicle.

[0013] In a possible implementation, the system controls each of the vehicles in real time according to the control plan while completing each transportation task and without causing an accident or complying with traffic regulations, including: The system realizes real-time control of each of the vehicles, and on the basis of meeting travel requirements and improving travel efficiency, there is no need to follow existing traffic rules to control the driving direction and speed of each of the vehicles on the road.

[0014] In a possible implementation, the system controls each of the vehicles in real time according to the control plan while completing each transportation task and without causing an accident or complying with traffic regulations, including: The vehicles are controlled to travel in the opposite direction, and according to the importance level of the travel, the positions of a plurality of the vehicles are adjusted simultaneously so as to avoid the space required for overtaking.

[0015] The beneficial effect of the new energy vehicle charging and control method based on dynamic demand provided by the present invention is that: compared with the prior art, the new energy vehicle charging and control method based on dynamic demand of the present invention first determines the position and remaining power of each vehicle in the area in real time, calculates the power consumption rate of each vehicle and the time required for charging, marks the position of each charging pile and charging point, and clarifies the number of passengers in each vehicle and their respective destinations and the expected time to arrive at the destination. Passengers with travel intentions set the destination and start and end time of the trip, clarify the different vehicle needs at different time points in the area, and plan the routes according to the position of each vehicle and their current travel.

[0016] In actual application, multiple control plans are generated based on meeting the vehicle needs of each passenger and the short charging time of the vehicle. The system performs real-time control of each vehicle according to the control plan while completing each transportation task, avoiding accidents and complying with traffic rules. The control method provided in this application can greatly avoid the resource consumption caused by vehicle driving, meet the travel requirements of each passenger, and improve the efficiency of vehicle use. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technical personnel in this field, other drawings can be obtained based on these drawings without creative work.

[0018] Figure 1 A flow chart of a new energy vehicle charging and control method based on dynamic demand provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0019] In order to make the technical problems, technical solutions and beneficial effects to be solved by the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0020] See also Figure 1 , the new energy vehicle charging and control method based on dynamic demand provided by the present invention is now described. The new energy vehicle charging and control method based on dynamic demand includes: determining the position and remaining power of each vehicle in the area in real time, calculating the power consumption rate of each vehicle and the time required for charging; marking the position of each charging pile and charging point, clarifying the number of passengers in each vehicle and their respective destinations and the expected time to arrive at the destination; passengers with travel intentions set the destination and start and end time of the trip, clarifying the different vehicle needs at different time points in the area, and generating multiple control plans based on the position of each vehicle and the current planned route of each vehicle to meet the vehicle needs of each passenger and the shorter charging time of the vehicle; the system performs real-time control of each vehicle according to the control plan when each transportation task is completed and no accidents occur and no traffic rules need to be observed.

[0021] The beneficial effect of the new energy vehicle charging and control method based on dynamic demand provided by the present invention is that: compared with the prior art, the new energy vehicle charging and control method based on dynamic demand of the present invention first determines the position and remaining power of each vehicle in the area in real time, calculates the power consumption rate of each vehicle and the time required for charging, marks the position of each charging pile and charging point, and clarifies the number of passengers in each vehicle and their respective destinations and the expected time to arrive at the destination. Passengers with travel intentions set the destination and start and end time of the trip, clarify the different vehicle needs at different time points in the area, and plan the routes according to the position of each vehicle and their current travel.

[0022] In actual application, multiple control plans are generated based on meeting the vehicle needs of each passenger and the short charging time of the vehicle. The system performs real-time control of each vehicle according to the control plan while completing each transportation task, avoiding accidents and complying with traffic rules. The control method provided in this application can greatly avoid the resource consumption caused by vehicle driving, meet the travel requirements of each passenger, and improve the efficiency of vehicle use.

[0023] As the number of electric vehicles continues to grow, the random charging of a large number of electric vehicles will increase the burden on the power grid, causing overload of the power grid in some areas and affecting the stable operation of the power grid. However, the total power generation of renewable energy is volatile, the output is intermittent, and it is difficult to connect to the grid and absorb it, which seriously affects the long-term development of the renewable energy industry. In this case, combined with the dynamic travel situation of new energy vehicles and the research on new energy absorption, the orderly charging of new energy vehicles is guided to ensure that the battery life of new energy vehicles is not affected, the power demand of passengers is guaranteed, and the fluctuation of power grid load can be effectively suppressed, so as to adapt to the large-scale development of new energy.

[0024] In recent years, the new energy vehicle industry has ushered in rapid development. At the same time, the insufficiency and inconvenience of charging station equipment have hindered the development of the new energy vehicle industry to a certain extent.

[0025] Due to the widespread parking difficulties in most cities in China, existing new energy vehicle charging stations are often occupied by gasoline vehicles. After electric car owners search for nearby charging stations through the APP and drive there, they often encounter the problem of gasoline vehicles occupying the space and being unable to charge.

[0026] In order to reduce the loss of car batteries and overcome the influence of bad charging habits to a certain extent, manufacturers set a fixed and unified default fast charging upper limit threshold at the factory. That is, when the new energy vehicle replenishes a certain amount of power in fast charging mode, the slow charging mode is started to replenish the power. However, this method has poor flexibility and is not suitable for all car owners' new energy vehicles. Moreover, the fixed and unified default fast charging upper limit threshold cannot minimize the loss of car batteries in combination with the actual situation of the car owner, and cannot achieve adaptive control of new energy vehicle charging.

[0027] In some embodiments of the new energy vehicle charging and control method based on dynamic demand provided in the present application, real-time determination of the position and remaining power of each vehicle within the area includes: Mark the location, speed, direction of travel, number of passengers in the vehicle and the destinations of the passengers on the map.

[0028] Analyze and estimate the time it will take for each vehicle to reach the preset destination and the remaining power.

[0029] Under the pressure of energy and environmental protection, new energy vehicles will undoubtedly become the development direction of future vehicles. Compared with gas stations for ordinary fuel vehicles, the popularity of charging piles also affects the charging of new energy vehicles. The function of charging piles is similar to that of gas pumps in gas stations. They can be fixed on the ground or wall and installed in public buildings and residential parking lots or charging stations. They can charge various models of electric vehicles according to different voltage levels.

[0030] As a relatively energy-saving vehicle at this stage, new energy vehicles are being vigorously promoted and used. Although new energy vehicles are developing rapidly, the number of traditional fuel vehicles is still the majority. One of the current constraints on the development of new energy vehicles is that the charging parking spaces for new energy vehicles are still relatively limited, and the most important thing is the charging problem of new energy vehicles. Although most parking lots have designed exclusive charging parking spaces and charging piles for new energy vehicles, the most troublesome problem for charging pile operators is that they cannot clearly know whether there are vehicles at the current charging piles and charging stations, and they do not know whether other vehicles have entered and charged in advance while the vehicles are driving to the charging piles and charging stations.

[0031] In some embodiments of the new energy vehicle charging and control method based on dynamic demand provided in the present application, calculating the power consumption rate of each vehicle and the time required for charging includes: The system determines the most efficient charging location and time for each vehicle while ensuring that it can arrive at the preset destination at the designated time. The system plans the charging of each vehicle based on its location and avoids queues and congestion during charging.

[0032] In recent years, the number of new energy vehicles in my country has continued to increase, and the traffic congestion and safety problems it has brought have become increasingly severe. Although new energy vehicles have solved the continuous consumption of traditional energy, with the continuous advancement of social science and technology, the intelligence of new energy vehicles has gradually become the general trend of development in the automotive industry, and the automatic driving technology of new energy vehicles is one of the core issues in realizing its intelligence.

[0033] It should be pointed out that with the continuous development of science and technology, the structure and internal structure of the car will undergo more and more changes. The most significant is that the level of unmanned driving will be fully developed. For the above reasons, drivers will no longer be needed to drive, but the whole process will be controlled by the relevant unmanned driving system. And with the continuous improvement of positioning accuracy, the position and angle of each car will be displayed more accurately. It is for the above reasons that the position and status of each new energy vehicle and many other information can be obtained in real time, and ultimately each vehicle can be controlled remotely.

[0034] In some embodiments of the new energy vehicle charging and control method based on dynamic demand provided in the present application, the routes planned according to the positions of each vehicle and the current travel of each vehicle include: When charging is needed and passengers get off the vehicle, some passengers are transferred at the appropriate time based on the destinations of each passenger in the vehicle and the expected arrival time.

[0035] With the continuous development of new energy technologies, in the future, passengers will no longer purchase vehicle ownership individually, but will pay for the right to use it. Because most passengers do not use vehicles much on weekdays and other occasions, in order to reduce the cost of using the vehicle, when the vehicle owner arrives at work, the vehicle is idle at this time. In order to increase income, the vehicle will be entrusted, which is similar to renting out the vehicle, thereby earning rent when the vehicle is used.

[0036] More importantly, with the continuous development of technology, unlike gas stations, the construction cost of charging piles and charging points will be very low, and the greater the passenger density, the greater the number of charging piles and charging points. Based on the above reasons, how to use all available charging piles and charging points reasonably and orderly, and at the same time efficiently transport passengers to their destinations, so as to save energy and avoid traffic congestion.

[0037] In some embodiments of the new energy vehicle charging and control method based on dynamic demand provided in the present application, transferring some passengers at an appropriate time point includes: In order to reduce energy consumption while meeting passengers' travel requirements, passengers are adjusted and transferred between corresponding vehicles at appropriate locations and times, thereby improving vehicle utilization and reducing the total resource consumption of each vehicle to complete each travel task.

[0038] Through the above settings, the total resource consumption of vehicles can be greatly reduced and the number of required vehicles can be increased.

[0039] In some embodiments of the new energy vehicle charging and control method based on dynamic demand provided in the present application, after the passenger with travel intention sets the travel destination and start and end time, the following steps are also included: Determine the position of passengers in the vehicle and the position of passengers who need to travel in real time, calculate the time it takes for passengers to reach the designated location, and infer the time it takes for the vehicle to reach the passenger's set location based on the control plan.

[0040] When the remaining power is different, the efficiency of charging per unit time will also be different. In one embodiment, there is a large difference in the charging efficiency of a mobile phone from 0 to 100%. Usually, the charging efficiency is the highest at the beginning of charging, while the time required from 90% to 100% is the longest and the efficiency is the lowest. Based on the above reasons, how to achieve high-efficiency charging of each tram on the basis of satisfying passengers' travel so as to avoid a large number of vehicles queuing at charging piles and charging points and a long waiting time is a problem that needs to be solved.

[0041] With the continuous development of technology, trams will eventually be completely unmanned, and on the basis of unmanned driving, each vehicle can be remotely controlled. By scientifically calculating the position of each vehicle and the direction of the driving speed, congestion and excessive density of vehicles can be avoided. To a certain extent, traffic lights will not be needed to guide the use of roads, and the above technical effects are the final form of scientific and technological development. It is also for the above reasons that it is very necessary to scientifically control vehicles and guide charging.

[0042] In some embodiments of the new energy vehicle charging and control method based on dynamic demand provided in the present application, multiple control plans are generated based on meeting the vehicle use needs of each passenger and the shorter charging time of the vehicle, including: A search range is established based on the remoteness of each passenger's location, with each passenger in need of a vehicle as the center. Multiple routes of vehicles that meet the transportation requirements are fitted through random combination within the search range, and the total power consumption of each route and the time required for subsequent charging are calculated.

[0043] In most cases, the final destinations of passengers in the car are different. The existing navigation usually guides the vehicle to take the shortest route or the fastest route, but the position of the vehicle changes in real time. Not only that, unexpected situations may occur during the driving of the vehicle, causing congestion and other problems. The main reason for this problem is that the driving direction and path of the vehicle cannot be grasped and controlled in real time, and because the final destination of the passengers in the vehicle is unknown, targeted regulation cannot be carried out.

[0044] Based on the above reasons, firstly, all the vehicles in this application can realize automatic control. More importantly, each vehicle can communicate with each other, that is, vehicles within a certain area can know the location and path of other vehicles. And the destination of the passengers in the car and the latest time to reach the destination are clear. It is based on the above reasons that the basic travel requirements of passengers and the efficient use of vehicles can be met.

[0045] In some embodiments of the new energy vehicle charging and control method based on dynamic demand provided in the present application, multiple control plans are generated based on meeting the vehicle use needs of each passenger and the shorter charging time of the vehicle, including: According to the control plan, the current power consumption of the vehicle is analyzed, and based on the distance from each charging pile and charging point in the map, the charging location and charging time are set in the area with higher charging efficiency of the vehicle, ultimately meeting the travel requirements of each passenger and ensuring the continuous driving of the vehicle.

[0046] In order to achieve the above-mentioned technical effects, first of all, the passengers need to clearly know their respective travel destinations and expected arrival times. Once the above conditions are determined, how to control the vehicle becomes the first technical problem that needs to be solved, because after the vehicle is fully controlled, traffic congestion can be avoided to a certain extent, as well as the reasonable use of charging piles and charging points.

[0047] To explain in more detail, the position of each vehicle is first determined through satellite positioning and other means, and then real-time communication is carried out with each vehicle to determine its remaining power and destination, and then the available charging piles and charging stations are marked on the map. After the above situation is determined, the position of each passenger who is riding in the car and who needs a car is marked on the map, as well as their set destination and desired arrival time.

[0048] After the above situations are determined, it is necessary to plan the driving routes of each vehicle to ensure that the driving routes of each vehicle are minimized with the lowest consumption of resources.

[0049] In some embodiments of the new energy vehicle charging and control method based on dynamic demand provided in the present application, the system performs real-time control of each vehicle according to the control plan while completing each transportation task and without accidents and without complying with traffic rules, including: The system realizes real-time control of each vehicle. On the basis of meeting travel requirements and improving travel efficiency, it does not need to follow existing traffic rules to control the driving direction and speed of each vehicle on the road.

[0050] In order to maximize the charging efficiency of new energy electric vehicles, increase the utilization rate of charging stations, and avoid congestion and non-use of charging piles and charging stations, we first need to clarify the remaining power of each electric vehicle and the charging efficiency of different remaining powers, so as to clarify the time required for charging when charging is needed, and then determine the driving direction and route based on its current destination and the time requirements of the current passengers in the car.

[0051] In the above method, the final driving results of each vehicle can be obtained by means of data explosion. First, the demand side is the travel requirements of each passenger, while the supply side is the location of each vehicle and the current remaining power. The middle side is the location of each charging pile and charging station. When all these situations are determined, the data explosion is performed in the system. The explosion has a certain randomness, that is, the passengers and vehicles are randomly matched, and then the power consumption is calculated, and the charging efficiency and the power wasted by charging are performed. When the above situations are determined, the most economical and fastest way is finally selected to match the car with the passenger.

[0052] In some embodiments of the new energy vehicle charging and control method based on dynamic demand provided in the present application, the system performs real-time control of each vehicle according to the control plan while completing each transportation task and without accidents and without complying with traffic rules, including: The vehicle is controlled to travel in the opposite direction, and according to the importance of the trip, the positions of multiple vehicles are adjusted at the same time to avoid the space required for overtaking.

[0053] All vehicles in this application are automatically controlled. For the above reasons, meaningless congestion will not occur, and traffic lights are not needed to guide vehicles. At the same time, there is another variable that all vehicles are used for daily passenger transportation, that is, all vehicles are put into daily operation and are only used by specific passengers at specific times. It is also for the above reasons that the vehicles in this application do not need to strictly abide by current traffic regulations, because the vehicles are all automatically controlled and no accidents will occur.

[0054] For the above reasons, in order to improve the utilization rate of vehicles, the present application can transfer passengers in different vehicles at appropriate time points, that is, notify the passengers in the vehicle to transfer the vehicle at a predetermined location, and inform the passengers in the vehicle to transfer to other vehicles at the preset location, thereby reducing unnecessary energy loss. However, this requirement for temporary stationary vehicles will not cause large energy loss and time delay.

[0055] The above are only preferred embodiments of the present invention and are not intended to limit the present invention. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A new energy vehicle charging and control method based on dynamic demand, characterized in that: include: Determine the location and remaining power of each vehicle in the area in real time, and calculate the power consumption rate and charging time required for each vehicle; The locations of each charging pile and charging point are marked, and the number of passengers in each vehicle, their respective destinations, and the expected time to arrive at the destination are clarified; passengers with travel intentions set the destination and start and end times of the trip, clarify the different vehicle needs at different time points within the area, and generate multiple control plans based on the locations of each vehicle and their current planned routes to meet the vehicle needs of each passenger and the shorter charging time of the vehicle; The system controls each of the vehicles in real time according to the control plan while completing each transportation task and without causing any accidents or complying with any traffic regulations.

2. The new energy vehicle charging and control method based on dynamic demand as claimed in claim 1, characterized in that: The real-time determination of the position and remaining power of each vehicle within the area includes: Marking the location, speed, direction of travel, number of passengers in the vehicle and the destinations of the passengers on the map; The time it takes for each of the vehicles to reach a preset destination and the remaining power are analyzed and estimated.

3. The new energy vehicle charging and control method based on dynamic demand as claimed in claim 2, characterized in that: The calculating of the power consumption rate and the time required for charging of each vehicle comprises: The most efficient charging location and charging time for each vehicle is determined while ensuring that the vehicle can arrive at the preset destination at the designated time. The system plans the charging of each vehicle according to the location of each vehicle and avoids queues and congestion during charging.

4. The new energy vehicle charging and control method based on dynamic demand as claimed in claim 1, characterized in that: The routes planned according to the positions of the vehicles and their current travels include: When charging is required and passengers in the vehicle get off, some passengers are transferred at an appropriate time point according to the destinations of the passengers in the vehicle and the expected arrival time.

5. The new energy vehicle charging and control method based on dynamic demand as claimed in claim 4, characterized in that: The transfer of some passengers at an appropriate time includes: In order to reduce energy consumption while meeting passengers' travel requirements, passengers are adjusted and transferred between the corresponding vehicles at appropriate locations and times, thereby increasing the utilization rate of the vehicles and reducing the total resource consumption of each vehicle in completing each travel task.

6. The new energy vehicle charging and control method based on dynamic demand as claimed in claim 1, characterized in that: After the passenger with travel intention sets the travel destination and start and end time, the following steps are also included: The positions of passengers in the vehicle and passengers who need to travel are determined in real time, the time for the passengers to reach the designated positions is calculated, and the time for the vehicle to reach the passenger set position is inferred based on the control plan.

7. The new energy vehicle charging and control method based on dynamic demand as claimed in claim 1, characterized in that: The generating of multiple control plans based on satisfying the vehicle use needs of each passenger and the shorter charging time of the vehicle includes: A search range is established based on the remoteness of each passenger who needs a vehicle and the location of the passenger. Multiple driving routes of the vehicle that meet the transportation requirements are fitted within the search range by random combination, and the total power consumption of each driving route and the time required for subsequent charging are calculated.

8. The method for charging and controlling new energy vehicles based on dynamic demand as claimed in claim 2, characterized in that: The generating of multiple control plans based on satisfying the vehicle use needs of each passenger and the shorter charging time of the vehicle includes: According to the control plan, the current power consumption of the vehicle is analyzed, and based on the distance from each charging pile and charging point in the map, the charging location and charging time are set in the area where the vehicle has higher charging efficiency, ultimately meeting the travel requirements of each passenger and ensuring the continuous driving of the vehicle.

9. The new energy vehicle charging and control method based on dynamic demand as claimed in claim 1, characterized in that: The system performs real-time control of each vehicle according to the control plan to complete each transportation task without causing an accident or complying with traffic regulations, including: The system realizes real-time control of each of the vehicles, and on the basis of meeting travel requirements and improving travel efficiency, there is no need to follow existing traffic rules to control the driving direction and speed of each of the vehicles on the road.

10. The new energy vehicle charging and control method based on dynamic demand as claimed in claim 9, characterized in that: The system performs real-time control of each vehicle according to the control plan to complete each transportation task without causing an accident or complying with traffic regulations, including: The vehicles are controlled to travel in the opposite direction, and according to the importance level of the travel, the positions of a plurality of the vehicles are adjusted simultaneously so as to avoid the space required for overtaking.

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