Electric platform management method based on high-performance battery and intelligent system

Abstract

The invention provides an electric platform management method based on a high-performance battery and an intelligent system, and belongs to the technical field of intelligent power grids, and the method comprises the following steps: S1, obtaining a satellite signal based on a GPS receiver, carrying out the three-dimensional positioning of the position of a vehicle, and obtaining the speed, steering angle and brake state of the vehicle based on a sensor; s2, position coordinates of the vehicle are updated according to the obtained initial position of the vehicle and the motion parameters of the vehicle; s3, based on the coordinates of the starting point and the ending point of the vehicle and a path planning algorithm, finding an optimal path on a map, and outputting an optimal driving path of the optimal vehicle; and S4, updating a navigation instruction and a path in real time according to the current position and the dynamic traffic condition of the vehicle, and continuously optimizing the optimal driving path of the vehicle. The system has the functions of real-time positioning and information return, can schedule and manage maintenance vehicles in real time, is convenient for managers to monitor and schedule vehicle positions and work schedules, and improves the management efficiency and the operation safety.

Description

Technical Field

[0001] The present invention belongs to the technical field of smart grids, and in particular relates to an electric platform management method based on high-performance batteries and intelligent systems. Background Art

[0002] Smart grid is the intelligence of power grid. It is built on the basis of integrated, high-speed two-way communication network. Through the application of advanced sensing and measurement technology, advanced equipment technology, advanced control methods and advanced decision support system technology, it realizes the goals of reliable, safe, economical, efficient, environmentally friendly and safe use of power grid. Its main features include self-healing, motivating and protecting users, resisting attacks, providing power quality that meets user needs, allowing access to various forms of power generation, starting the power market and optimizing and efficient operation of assets.

[0003] At present, in smart grid on-site services, commonly used tools and equipment mainly use traditional fuel power, which has problems such as noise and pollution. In addition, they are incomplete in function, low in safety, and complex to operate. At the same time, they cannot be quickly moved to the site for processing in an emergency, resulting in inefficient customer service. Summary of the invention

[0004] In order to solve the above problems existing in the prior art, a method for managing an electric platform based on a high-performance battery and an intelligent system is provided.

[0005] The technical solution adopted by the present invention to solve its technical problem is:

[0006] This technical solution proposes an electric platform management method based on high-performance batteries and intelligent systems, including the following steps:

[0007] S1: Based on the GPS receiver, satellite signals are obtained to perform three-dimensional positioning of the vehicle, and the vehicle speed, steering angle and braking status are obtained based on sensors;

[0008] S2: updating the position coordinates of the vehicle according to the obtained initial position of the vehicle and the motion parameters of the vehicle;

[0009] S3: Based on the coordinates of the vehicle's starting point and end point, based on the path planning algorithm, find the best path on the map and output the best driving path for the best vehicle;

[0010] S4: Update navigation instructions and paths in real time based on the vehicle's current location and dynamic traffic conditions, and continuously optimize the vehicle's optimal driving path.

[0011] Preferably, time difference measurement is performed, and the GPS receiver calculates the distance between the GPS receiver and each satellite by measuring the propagation time difference of the received satellite signal.

[0012] Preferably, the position of the vehicle is calculated based on the triangulation principle using distance information from multiple satellite signals received, using the satellite positions as the vertices of the triangle and the distances as the sides of the triangle to calculate the position of the GPS receiver.

[0013] Preferably, based on the GPS receiver, data processing and resolution are performed on the received satellite signals, including calibrating satellite clock errors, correcting signal propagation delays, and eliminating error interference.

[0014] Preferably, based on a GPS receiver, GPS data is integrated with auxiliary positioning technology, and the auxiliary positioning technology includes an inertial navigation system and a ground base station.

[0015] Preferably, obtaining the vehicle's starting position, target position, road conditions, and electric vehicle parameters;

[0016] Calculate the straight-line distance between the starting and target locations:

[0017] D = sqrt((X2 - X1) 2 + (Y2 - Y1) 2 ) (1);

[0018] Estimate the driving distance between a start and a destination:

[0019] S = D * F (2);

[0020] Where D is the straight-line distance and F is the correction factor, which is used to consider road conditions and electric vehicle parameters;

[0021] Energy consumption of electric vehicles:

[0022] E = S * C (3);

[0023] Where E is energy consumption and C is energy consumption coefficient.

[0024] Preferably, longitude and latitude calculation: According to the received GPS signal, the longitude and latitude coordinates are calculated using equations (4) and (5), and the formula is as follows:

[0025] Longitude = L + (M / 60) + (S / 3600) (4);

[0026] Latitude = N + (M / 60) + (S / 3600) (5);

[0027] In the formula, L and N represent degrees, M represents minutes, and S represents seconds;

[0028] Position update: Based on the initial position and motion parameters of the vehicle, the vehicle's position coordinates are updated using equation (6). The formula is as follows:

[0029] New position = old position + (speed × time interval) + (0.5 × acceleration × time interval 2 )(6);

[0030] Direction update: Based on the initial direction and angular velocity of the vehicle, the direction of the vehicle is updated using equation (7), as follows:

[0031] New direction = old direction + angular velocity × time interval (7).

[0032] Preferably, based on the heuristic function, the cost from the current node to the target node is estimated, and the path weight is updated based on the obtained cost value. Based on the Dijkstra algorithm, the shortest path weight is updated by comparing the path weight from the starting node to the adjacent node with the currently known shortest path weight.

[0033] Preferably, based on a perception system around the vehicle, the perception system detects traffic signs, lane lines and other vehicles, and the perception system includes a camera and a radar.

[0034] Preferably, the battery charging process is managed and optimized based on controlling the output current and voltage of the charger:

[0035] Charging speed control: Control the charger output current and voltage based on the current battery charge, temperature and internal resistance;

[0036] Charging status monitoring: monitor the battery power, voltage and temperature during charging, and provide corresponding prompts and alarms;

[0037] Charging mode selection: Select the corresponding charging mode based on user needs and battery characteristics. The charging modes include fast charging, slow charging, and balanced charging.

[0038] Charging management: Manage charging of multiple electric vehicles based on charging demand and priority.

[0039] Compared with the prior art, the present invention has the following advantages:

[0040] 1. This application uses power batteries and energy storage batteries as backup for each other to achieve full electric drive, eliminating the noise and pollution problems caused by traditional fuel power, reducing the negative impact on the environment, and at the same time has the ability to quickly move to the scene for processing, greatly improving the response speed and efficiency of on-site services, and can carry out emergency repairs and service work more flexibly, shortening the fault handling time and improving customer satisfaction.

[0041] 2. This application uses power batteries and energy storage batteries as backup for each other, supports flexible conversion of light energy, direct current and alternating current, facilitates the use of electricity and charging of various electric tools, provides rapid mobile support for emergency power supply and emergency lighting, ensures the continuity and safety of on-site work, has real-time positioning and information feedback functions, can dispatch and manage maintenance vehicles in real time, facilitates management personnel to monitor and dispatch vehicle locations and work progress, and improves management efficiency and work safety. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] The above and / or additional aspects and advantages of the present invention will become apparent and easily understood from the description of the embodiments in conjunction with the following drawings, in which:

[0043] Figure 1 It is the overall flow chart of the present invention;

[0044] Figure 2 It is the charging principle diagram of the present invention;

[0045] Figure 3 It is a schematic diagram of electrical connection in the present invention. DETAILED DESCRIPTION

[0046] Embodiments of the present invention are described in detail below, examples of which are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain the present invention, and cannot be understood as limiting the present invention.

[0047] like Figure 1-Figure 3 As shown, this embodiment proposes an electric platform management method based on high-performance batteries and intelligent systems. The vehicle has basic driving functions of moving forward, backward and turning, a braking system that can effectively control the speed and stop of the vehicle, a lighting system including headlights, taillights and turn signals, etc., and a suspension system to provide a comfortable riding experience.

[0048] The vehicle has a dashboard with a display screen that displays information such as vehicle speed and mileage, an audio system that supports audio playback, a navigation system that provides navigation and route planning, and Bluetooth connection that supports mobile phone interconnection.

[0049] Communication specifications: Equipped with 4G communication module to achieve seamless connection with the Internet, support remote control and online update of vehicle systems.

[0050] Anti-theft function specifications: Equipped with smart key system to prevent illegal starting.

[0051] Equipped with an alarm system to promptly report any abnormal situation.

[0052] Positioning specification: Equipped with a positioning device that can accurately obtain the vehicle's location information and support functions such as real-time monitoring and trajectory playback of the vehicle.

[0053] Passenger airtightness standards: The vehicle has good airtightness, which can effectively prevent external dust and rain from entering the vehicle, and has the function of opening and closing windows and doors.

[0054] Endurance specification: Equipped with a high-capacity battery, it can meet the needs of long-term driving and supports the fast charging function of charging piles.

[0055] The platform structure is made of high-strength materials to improve the overall stability and durability. Through reasonable structural design and center of gravity distribution, the three-wheel platform technology has good stability and is easy to operate. Users can easily control the direction and speed of the vehicle through the controller.

[0056] The intelligence of vehicles is reflected in:

[0057] On-board computer system: Installing an on-board computer system on a vehicle enables monitoring and management of vehicle information. These systems usually include a display screen, control panel, and operation interface, which can provide information such as vehicle speed, battery status, and driving distance, and allow users to set and adjust them.

[0058] Navigation and positioning system: By integrating the global positioning system and navigation software, the vehicle can provide navigation and route planning functions. Passengers can enter the destination information, and the vehicle will drive according to the instructions provided by the navigation system. At the same time, the navigation and positioning system can also help car owners track the location of the vehicle, realize security monitoring and anti-theft functions.

[0059] Intelligent charging management: Intelligent vehicles can be equipped with a charging management system that can remotely monitor and control the vehicle's charging status. In this way, car owners can check the battery charging status, set charging plans, and receive real-time notifications during the charging process through mobile phone applications or Internet platforms.

[0060] Battery requirements: large-capacity lithium battery, reserved battery expansion space Battery voltage and capacity: 48V / 50Ah, the battery capacity can ensure that the vehicle can travel no less than 100 kilometers on a single charge. Mean time between failures: ≥10,000 hours Provide full-function protection such as short circuit, overload, undervoltage, overvoltage, overcurrent, low battery voltage, etc. The battery adopts a modular design. The battery consists of 2-3 groups of battery modules, and can be powered by 1-3 groups as needed. The battery pack module supports hot swapping. The battery has intelligent energy management function, and the discharge process can discharge the battery packs one by one to avoid simultaneous discharge of the battery packs.

[0061] Inverter requirements: operating voltage: 48-72VDC, output voltage range: 220VAC (-5%-+3%), maximum inverter efficiency: 0.95, no-load loss: <0.3A, heat dissipation method: output protection: short circuit, overload, over temperature, input protection: undervoltage, overvoltage, USB charging: 5V2A, high power output.

[0062] Photovoltaic panel requirements: System battery voltage: 60VDC, Battery input voltage range: 40.8-74.8VDC, Maximum PV open circuit voltage: 55V, Maximum PV input power: 200W, Maximum PV charging current: 15A, Charging conversion efficiency: 85%-97%.

[0063] GPS module: vehicle positioning, track tracking, detection of driving battery voltage, charging current, discharge current, and full charge time. Able to intelligently calculate driving mileage. Calculate battery capacity through detection of driving battery charging process and historical data. Push warning information when the battery voltage is low or the capacity is less than the set driving mileage value.

[0064] Bluetooth and wireless connectivity: Vehicles can also be equipped with Bluetooth and wireless connectivity to connect with other devices. For example, the vehicle can be paired with a mobile phone or other smart terminal to achieve remote control, audio playback, and communication functions.

[0065] Safety assistance system: Vehicles can also be equipped with safety assistance systems to provide safety protection for drivers and passengers. For example, the intelligent braking system can automatically adjust the braking force according to the speed and distance of the vehicle to reduce the risk of collision. Reversing radar and cameras can help drivers avoid hitting obstacles during reversing.

[0066] Motor: The vehicle uses a brushless DC motor or an AC asynchronous motor as a power source. The motor drives the vehicle by converting electrical energy into mechanical energy. When the motor receives current, the current forms a magnetic field in the wire, generating a rotational torque. This rotational torque interacts with the magnetic field between the rotor and stator in the motor, causing the rotor to start rotating, thereby driving the vehicle forward.

[0067] Battery system: The vehicle uses a rechargeable battery pack, such as a lithium-ion battery or a lead-acid battery, as a device to store electrical energy. The battery pack stores the electrical energy and provides the required current to the electric motor when needed. The battery pack is usually located at the bottom or rear of the vehicle and is connected to an external power source through a charging plug for charging.

[0068] Control system: The vehicle's control system includes motor controllers, sensors and controls. The motor controller is the key device for controlling the motor. It receives instructions from the controls and provides the motor with the corresponding current according to the vehicle's needs. Sensors are used to monitor the vehicle's status, such as speed, steering angle, and brake status, and transmit this information to the motor controller for appropriate adjustment and control.

[0069] Overview of working principle: When the passenger operates the control device, the control device sends instructions to the motor controller through the sensor. The motor controller controls the battery pack to provide the corresponding current to the motor according to the instructions and feedback information from the sensor. The motor generates a magnetic field interaction between the rotor and the stator according to the received current, thereby driving the vehicle forward. At the same time, the control system can also monitor information such as vehicle speed, steering angle and braking status, and make corresponding adjustments and controls as needed.

[0070] The principle of the vehicle is to convert electrical energy into mechanical energy through the coordinated work of the motor, battery and control system, thereby driving the vehicle forward. This electrified design makes the vehicle have the advantages of zero emissions, low noise and good energy efficiency, making it an environmentally friendly, economical and practical mode of transportation.

[0071] The use of power batteries and energy storage batteries as backup for each other achieves full electric drive, eliminates the noise and pollution problems caused by traditional fuel power, reduces the negative impact on the environment, and has the ability to quickly move to the scene for processing, greatly improving the response speed and efficiency of on-site services, allowing for more flexible emergency repairs and service work, shortening fault handling time, and improving customer satisfaction.

[0072] Implementation of multi-power flexible conversion technology: The implementation of multi-power flexible conversion technology requires the use of smart grid, energy storage technology, inverter technology, smart load management technology and microgrid technology. The specific implementation methods are as follows:

[0073] Smart grid: Through the monitoring and control system of the smart grid, all links in the power system, including power sources, loads and energy storage devices, are monitored in real time. Through the automatic control system, smooth switching and optimized management between multiple power sources can be achieved.

[0074] Energy storage technology: Energy storage devices such as batteries and supercapacitors are used to store energy from multiple power sources and smoothly convert and compensate when needed. Energy storage devices can provide temporary power reserves to cope with power supply failures or load changes in the power system.

[0075] Inverter technology: Use an inverter to convert DC power to AC power. Inverters are usually equipped with batteries or other energy storage devices to ensure the stability of the power system during the switching process. Through the inverter, smooth switching between different power sources can be achieved.

[0076] Intelligent load management technology: Through the intelligent load management system, different power sources can be automatically switched or load operation modes can be adjusted according to the status and needs of the power system. For example, the optimal power supply mode can be automatically selected based on energy prices or energy supply availability.

[0077] Microgrid technology: Establish a microgrid, combining multiple energy sources and energy storage devices to form a small, independently operated power system. Microgrids achieve smooth switching and mutual compensation between multiple power sources through autonomous control and management.

[0078] By using power batteries and energy storage batteries as backup for each other, full electric drive is achieved, supporting flexible conversion of light energy, DC and AC, providing convenience for the power use and charging of various electric tools, providing rapid mobile support for emergency power supply and emergency lighting, ensuring the continuity and safety of on-site work, eliminating the noise and pollution problems caused by traditional fuel power, and reducing the negative impact on the environment.

[0079] By using power batteries and energy storage batteries as backup for each other and supporting flexible conversion of solar energy, DC and AC, it facilitates the use of electricity and charging of a variety of electric tools, provides rapid mobile support for emergency power supply and emergency lighting, ensures the continuity and safety of on-site work, and has real-time positioning and information feedback functions. It can dispatch and manage maintenance vehicles in real time, making it convenient for managers to monitor and dispatch vehicle locations and work progress, thereby improving management efficiency and work safety.

[0080] The positioning method includes the following steps:

[0081] S1: Based on the GPS receiver, satellite signals are obtained to perform three-dimensional positioning of the vehicle, and the vehicle speed, steering angle and braking status are obtained based on sensors;

[0082] At least three satellite signals must be received for two-dimensional positioning (longitude and latitude), and four or more satellite signals must be received for three-dimensional positioning (longitude, latitude and altitude).

[0083] S2: updating the position coordinates of the vehicle according to the obtained initial position of the vehicle and the motion parameters of the vehicle;

[0084] S3: Based on the coordinates of the vehicle's starting point and end point, based on the path planning algorithm, find the best path on the map and output the best driving path for the best vehicle;

[0085] S4: Update navigation instructions and paths in real time based on the vehicle's current location and dynamic traffic conditions, and continuously optimize the vehicle's optimal driving path.

[0086] The GPS receiver calculates the distance between the GPS receiver and each satellite by measuring the propagation time difference of the received satellite signals.

[0087] The vehicle's position is calculated based on the principle of triangulation using the distance information of multiple satellite signals received. The position of the satellite is used as the vertex of the triangle and the distance as the side length of the triangle to calculate the location of the GPS receiver.

[0088] Based on the GPS receiver, the received satellite signals are processed and solved, including calibrating the satellite clock error, correcting the signal propagation delay, and eliminating error interference. These processing steps can improve the accuracy and stability of positioning.

[0089] Based on the GPS receiver, the GPS data is integrated with auxiliary positioning technology, including inertial navigation system and ground base station. This can overcome the instability of GPS signal when it is blocked or interfered, and improve the continuity and reliability of positioning.

[0090] Obtain the vehicle's starting position, target position, road conditions, and electric vehicle parameters;

[0091] Calculate the straight-line distance between the starting and target locations:

[0092] D = sqrt((X2 - X1) 2 + (Y2 - Y1) 2 ) (1);

[0093] Estimate the driving distance between a start and a destination:

[0094] S = D * F (2);

[0095] Where D is the straight-line distance and F is the correction factor, which is used to consider road conditions and electric vehicle parameters;

[0096] Energy consumption of electric vehicles:

[0097] E = S * C (3);

[0098] Where E is energy consumption and C is energy consumption coefficient.

[0099] Latitude and longitude calculation: Based on the received GPS signal, the longitude and latitude coordinates are calculated using equations (4) and (5). The formula is as follows:

[0100] Longitude = L + (M / 60) + (S / 3600) (4);

[0101] Latitude = N + (M / 60) + (S / 3600) (5);

[0102] In the formula, L and N represent degrees, M represents minutes, and S represents seconds;

[0103] Position update: Based on the initial position and motion parameters of the vehicle, the vehicle's position coordinates are updated using equation (6). The formula is as follows:

[0104] New position = old position + (speed × time interval) + (0.5 × acceleration × time interval 2 )(6);

[0105] Direction update: Based on the initial direction and angular velocity of the vehicle, the direction of the vehicle is updated using equation (7), as follows:

[0106] New direction = old direction + angular velocity × time interval (7).

[0107] Based on the heuristic function, the cost from the current node to the target node is estimated. Based on the obtained cost value, the path weight is updated. Based on the Dijkstra algorithm, the shortest path weight is updated by comparing the path weight from the starting node to the adjacent node with the currently known shortest path weight. The Dijkstra algorithm formula is: the path weight of the new node = the path weight of the current node + the weight of the edge.

[0108] The heuristic function can use Manhattan distance or Euclidean distance.

[0109] Manhattan distance: h(n) = |vertical coordinate of the current node - vertical coordinate of the target node| + |horizontal coordinate of the current node - horizontal coordinate of the target node|;

[0110] Euclidean distance: h(n) = √[(the vertical coordinate of the current node - the vertical coordinate of the target node) + (the horizontal coordinate of the current node - the horizontal coordinate of the target node)];

[0111] Based on the perception system around the vehicle, the perception system detects traffic signs, lane lines and other vehicles. The perception system includes cameras and radars.

[0112] Based on the above method, the navigation of the vehicle is realized, which specifically includes: Positioning: The system uses GPS or other sensors (such as inertial measurement unit) to determine the position and direction of the electric vehicle.

[0113] Map matching: The system uses a map matching algorithm to match positioning data to a digital map to correct and optimize the vehicle's position estimate. Map matching can improve position accuracy and can help the vehicle determine the correct path.

[0114] Path planning: Based on the coordinates of the starting point and the end point, the system uses a path planning algorithm (such as the A* algorithm or the Dijkstra algorithm) to find the best path on the map. Path planning takes into account factors such as the vehicle's current location, target location, road conditions, traffic flow, etc. to provide the best driving path.

[0115] Lane-level navigation: Through the perception system around the vehicle (such as cameras, radars), the system detects traffic signs, lane lines and other vehicles to achieve lane-level navigation and decision-making. Lane-level navigation can ensure that electric vehicles drive correctly and comply with traffic rules.

[0116] Real-time updates: Based on the vehicle’s current location and dynamic traffic conditions, the system updates navigation instructions and routes in real time. Real-time updates can cope with changes such as traffic jams and accidents, and ensure that the electric vehicle can drive smoothly to the destination.

[0117] Intelligent charging principle and application: Based on controlling the output current and voltage of the charger, the battery charging process can be managed and optimized:

[0118] Charging speed control: Based on the current battery charge, temperature and internal resistance, the charger output current and voltage are controlled to ensure that the charging speed is within a safe range and to minimize the charging time;

[0119] Charging status monitoring: monitors the battery power, voltage and temperature during charging, and provides corresponding prompts and alarms to help users understand the charging status and protect battery safety;

[0120] Charging mode selection: Select the corresponding charging mode based on user needs and battery characteristics. The charging modes include fast charging, slow charging, and balanced charging.

[0121] Charging management: Based on charging demand and priority, multiple electric vehicles are managed to maximize the use of charging resources and reduce energy waste.

[0122] The formula and algorithm of the intelligent charging system mainly involve the calculation of battery power and the implementation of charging control. Among them, the calculation formula of battery power can use the following formula:

[0123] Battery power (Wh) = battery voltage (V) × battery capacity (Ah) (8);

[0124] Charging control algorithms usually involve the control and regulation of current and voltage. Typical charging control algorithms include constant current charging, constant voltage charging, and constant power charging. These algorithms dynamically adjust the charger output current and voltage based on the characteristics of the battery and charging requirements to achieve a fast, safe, and efficient charging process.

[0125] The vehicle intelligent charging system improves charging efficiency and quality by managing and optimizing the charging process, while also protecting the safety and life of the battery.

[0126] Although the embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the claims and their equivalents.

Claims

1. A method for managing an electric platform based on high-performance batteries and intelligent systems, characterized in that: The following steps are involved: S1: Based on the GPS receiver, satellite signals are obtained to perform three-dimensional positioning of the vehicle, and the vehicle speed, steering angle and braking status are obtained based on sensors; S2: updating the position coordinates of the vehicle according to the obtained initial position of the vehicle and the motion parameters of the vehicle; S3: Based on the coordinates of the vehicle's starting point and end point, based on the path planning algorithm, find the best path on the map and output the best driving path for the best vehicle; S4: Update navigation instructions and paths in real time based on the vehicle's current location and dynamic traffic conditions, and continuously optimize the vehicle's optimal driving path.

2. The electric platform management method based on high-performance batteries and intelligent systems according to claim 1 is characterized in that: The GPS receiver calculates the distance between the GPS receiver and each satellite by measuring the propagation time difference of the received satellite signals.

3. The electric platform management method based on high-performance batteries and intelligent systems according to claim 2 is characterized in that: The distance information of multiple satellite signals is received to calculate the position of the vehicle based on the principle of triangulation. The position of the satellite is used as the vertex of the triangle and the distance is used as the side length of the triangle to calculate the location of the GPS receiver.

4. The electric platform management method based on high-performance batteries and intelligent systems according to claim 2 is characterized in that: Based on the GPS receiver, the received satellite signals are processed and solved, including calibrating satellite clock errors, correcting signal propagation delays, and eliminating error interference.

5. The electric platform management method based on high-performance batteries and intelligent systems according to claim 2 is characterized in that: Based on the GPS receiver, the GPS data is integrated with auxiliary positioning technology, which includes inertial navigation system and ground base station.

6. The electric platform management method based on high-performance batteries and intelligent systems according to claim 2 is characterized in that: Obtain the vehicle's starting position, target position, road conditions, and electric vehicle parameters; Calculate the straight-line distance between the starting and target locations: D=sqrt((X2-X1) 2 +(Y2-Y1) 2 ) (1); Estimate the driving distance between a start and a destination: S = D * F (2); Where D is the straight-line distance and F is the correction factor, which is used to consider road conditions and electric vehicle parameters; Energy consumption required for electric vehicles to travel: E = S * C (3); Where E is energy consumption and C is energy consumption coefficient.

7. The electric platform management method based on high-performance batteries and intelligent systems according to claim 1 is characterized in that: Latitude and longitude calculation: Based on the received GPS signal, the longitude and latitude coordinates are calculated using equations (4) and (5). The formula is as follows: Longitude = L + (M / 60) + (S / 3600) (4); Latitude = N + (M / 60) + (S / 3600) (5); In the formula, L and N represent degrees, M represents minutes, and S represents seconds; Position update: Based on the initial position and motion parameters of the vehicle, the vehicle's position coordinates are updated using equation (6). The formula is as follows: New position = old position + (speed × time interval) + (0.5 × acceleration × time interval 2 )(6); Direction update: Based on the initial direction and angular velocity of the vehicle, the direction of the vehicle is updated using equation (7), as follows: New direction = old direction + angular velocity × time interval (7).

8. The electric platform management method based on high-performance batteries and intelligent systems according to claim 1 is characterized in that: Based on the heuristic function, the cost from the current node to the target node is estimated, and the path weight is updated based on the obtained cost value. Based on the Dijkstra algorithm, the shortest path weight is updated by comparing the path weight from the starting node to the adjacent node with the currently known shortest path weight.

9. The electric platform management method based on high-performance batteries and intelligent systems according to claim 1, characterized in that: Based on the perception system around the vehicle, the perception system detects traffic signs, lane lines and other vehicles. The perception system includes cameras and radars.

10. The electric platform management method based on high-performance batteries and intelligent systems according to claim 1, characterized in that: The battery charging process is managed and optimized by controlling the output current and voltage of the charger: Charging speed control: Control the charger output current and voltage based on the current battery charge, temperature and internal resistance; Charging status monitoring: monitor the battery power, voltage and temperature during charging, and provide corresponding prompts and alarms; Charging mode selection: Select the corresponding charging mode based on user needs and battery characteristics. The charging modes include fast charging, slow charging, and balanced charging. Charging management: Manage charging of multiple electric vehicles based on charging demand and priority.

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