New energy automobile control system based on 5G and control method thereof

Abstract

The invention relates to the technical field of new energy automobiles, and discloses a 5G-based new energy automobile control system and a control method thereof.The 5G-based new energy automobile control system comprises an automobile control system, and the automobile control system comprises a vehicle-mounted control system and a terminal control system; the vehicle-mounted control system comprises a vehicle-mounted artificial intelligence module, a vehicle diagnosis module, a vehicle-mounted information processing module, a vehicle-mounted 5G communication module, an artificial intelligence driving auxiliary early warning module, a GPS positioning module and a vehicle-mounted endurance monitoring module. The 5G communication technology is adopted, high-speed data transmission between the vehicle-mounted control system and the terminal control system can be achieved, and real-time transmission and processing of the vehicle state, fault information, driving assistance data and the like are ensured; the vehicle-mounted artificial intelligence module can process complex driving decisions and vehicle control tasks, makes intelligent judgment according to real-time data, and achieves an automatic driving or auxiliary driving function.

Description

Technical Field

[0001] The present invention belongs to the technical field of new energy vehicles, and specifically, relates to a 5G-based new energy vehicle control system and a control method thereof. Background Art

[0002] With the continuous development of science and technology and the pursuit of efficient, safe and intelligent travel methods, new energy vehicles and their control technology have gradually become an important trend in the development of the automotive industry. Especially with the rapid popularization and application of 5G technology, the control system of new energy vehicles has ushered in unprecedented development opportunities.

[0003] Traditional automobile control systems usually adopt a decentralized architecture, which has high power consumption, low efficiency, and slow system response speed, making it difficult to meet the high requirements of new energy vehicles. In addition, existing technologies also have certain limitations in terms of intelligence and networking, and cannot give full play to the advantages of 5G technology. At present, with people's increasing attention to travel safety and intelligence, and the increasing support of policies for new energy vehicles, the new energy vehicle market is showing a rapid growth trend. At the same time, with the continuous maturity and application of 5G technology, 5G-based new energy vehicle control systems will become the mainstream of the future market.

[0004] The present invention proposes a 5G-based new energy vehicle control system, which can fully utilize the advantages of 5G technology to achieve efficient communication between the vehicle and the cloud, other vehicles and infrastructure, and improve the intelligence level and response speed of the system. In view of this, the present invention is specially proposed. Summary of the invention

[0005] In order to solve the above technical problems, the basic concept of the technical solution adopted by the present invention is:

[0006] A 5G-based new energy vehicle control system includes a vehicle control system, which includes an on-board control system and a terminal control system, wherein the on-board control system includes an on-board artificial intelligence module, a vehicle diagnosis module, an on-board information processing module, an on-board 5G communication module, an artificial intelligence driving assistance warning module, a GPS positioning module and an on-board endurance monitoring module; the on-board artificial intelligence module is responsible for processing complex driving decisions and vehicle control tasks; the vehicle diagnosis module monitors the working status of various components of the vehicle in real time, wherein the monitoring of the working status of various components of the vehicle specifically includes but does not require the engine, battery and tires, and once an abnormality is found, an alarm is immediately issued, and the on-board 5G communication module is used to The fault information is transmitted to the terminal control system; the on-board information processing module is connected to the on-board artificial intelligence module by electrical signals. The on-board information processing module receives data from various sensors and modules of the vehicle, performs real-time processing and analysis, and provides decision-making basis for the on-board artificial intelligence module; the vehicle control system is connected to the terminal control system by electrical signals through the on-board 5G communication module, and the vehicle diagnosis module, on-board information processing module, artificial intelligence driving assistance warning module, GPS positioning module and on-board endurance monitoring module are also connected to the on-board artificial intelligence module by electrical signals through the on-board 5G communication module; the on-board endurance monitoring module monitors the remaining battery power and endurance mileage, and provides accurate endurance information for the driver;

[0007] The terminal control system includes a terminal 5G communication module, a terminal information processing module, a terminal artificial intelligence module and a terminal storage module; the terminal information processing module processes and analyzes the received vehicle information, generates visual reports and warning information, and facilitates users to understand the vehicle status; the terminal artificial intelligence module provides users with personalized travel suggestions and services through big data analysis and artificial intelligence algorithms; the terminal storage module stores the vehicle's historical data, user information, and travel records, and provides users with comprehensive data management and query functions.

[0008] As a preferred embodiment of the present invention, the artificial intelligence driving assistance warning module is electrically connected to the vehicle-mounted artificial intelligence module, wherein the artificial intelligence driving assistance warning module includes a path information acquisition module, a vehicle information acquisition module, an environmental perception module, a data collection module, a Beidou positioning error correction module, a data processing module, an alarm generation module, an artificial intelligence master control module, an alarm sending module, a display module, a voice broadcast module, a collaborative driving module and a driver monitoring module.

[0009] As a preferred embodiment of the present invention, the path information acquisition module acquires the vehicle's current driving path, road type, number of lanes and traffic signals in real time through the vehicle's navigation system or high-precision map data; the vehicle information acquisition module is responsible for collecting the vehicle's own status data in real time; the environment perception module includes a camera and a lidar, wherein the camera is used to capture image information around the vehicle, and the lidar is used to detect obstacles around the vehicle, including vehicles, pedestrians and animals; the data collection module is responsible for summarizing and collating the path information, vehicle information and data obtained by the environment perception module, and providing comprehensive data support for the data processing module; the data processing module receives data from the data collection module, and performs real-time analysis and processing through an artificial intelligence algorithm.

[0010] As a preferred embodiment of the present invention, the artificial intelligence master control module is responsible for coordinating the work between various modules to ensure the stable operation of the early warning system; when the data processing module identifies a dangerous situation, the alarm generation module will generate a corresponding alarm signal according to the warning level; the alarm sending module is responsible for sending the generated alarm signal to the vehicle's control system or driver, and the alarm sending module can also send the alarm information to a remote monitoring center or emergency rescue agency through the on-board 5G communication module to deal with the dangerous situation in a timely manner; the display module is responsible for presenting the warning information and vehicle status information to the driver in a visual manner; the voice broadcast module converts the warning information and vehicle status information into voice signals through voice synthesis technology, and plays them to the driver through the on-board audio system.

[0011] As a preferred implementation mode of the present invention, the Beidou positioning and error correction module uses the positioning information provided by the Beidou satellite navigation system to verify and correct the data of the GPS positioning module. When the GPS signal is unstable or interfered with, the Beidou positioning and error correction module can provide more accurate and reliable positioning information to ensure the normal operation of the alarm generation module; the collaborative driving module includes vehicle-to-vehicle communication and vehicle-to-road collaboration. Vehicle-to-vehicle communication realizes information exchange and collaboration between vehicles. Through vehicle-to-vehicle communication and vehicle-to-road collaboration technology, information sharing and collaborative driving between vehicles are realized; vehicle-to-road collaboration realizes information exchange and collaboration between vehicles and road infrastructure; the driver monitoring module monitors the driver's status through cameras and sensors. When the driver is in poor condition, the system will issue a warning to remind the driver to pay attention or take intervention measures.

[0012] As a preferred embodiment of the present invention, the battery life monitoring module includes a battery information acquisition module, a data processing and analysis module, a driving mode adjustment module, a working mode switching module, a warning and prompt module, a communication and data interaction module, a power management and optimization module, a location service module and a battery life intelligent decision-making module.

[0013] As a preferred embodiment of the present invention, the battery information acquisition module collects the voltage, current, temperature and remaining capacity of the battery in real time. The data processing and analysis module receives the data of the battery information acquisition module, performs real-time processing and analysis, calculates the remaining cruising range, and automatically or manually adjusts the driving mode according to the remaining cruising range and the driver's settings. When the remaining cruising range is lower than a preset threshold, a warning or prompt is issued to the driver, suggesting charging or adjusting the driving strategy. The power management and optimization module manages and optimizes the vehicle's power system to improve energy utilization efficiency and extend the cruising range.

[0014] As a preferred embodiment of the present invention, the communication and data interaction module communicates and interacts with external systems (gas stations, charging stations, remote monitoring center). The communication and data interaction module uses the on-board communication module to connect to the Internet to obtain the location, price, and idle status information of gas stations and charging stations in real time; the location service module provides the real-time location information of the vehicle, as well as the location information of surrounding gas stations and charging stations. The real-time location of the vehicle is obtained through the on-board GPS system, and the distribution of surrounding gas stations and charging stations is displayed in combination with map data; the battery life intelligent decision-making module intelligently selects or matches the most suitable gas station / charging station based on the remaining battery life, vehicle location, and the location and status information of the gas station / charging station. During driving, the remaining battery life is continuously monitored, and the selection of the gas station / charging station is updated as needed.

[0015] A control method based on a 5G new energy vehicle control system includes the following working steps:

[0016] Step 1: The on-board artificial intelligence module is responsible for handling complex driving decisions and vehicle control tasks; the vehicle diagnosis module monitors the working status of various vehicle components in real time, including but not including the engine, battery and tires. Once an abnormality is found, an alarm is immediately issued, and the fault information is transmitted to the terminal control system through the on-board 5G communication module; the on-board information processing module is connected to the on-board artificial intelligence module by electrical signals. The on-board information processing module receives data from various sensors and modules of the vehicle, performs real-time processing and analysis, and provides decision-making basis for the on-board artificial intelligence module; the vehicle control system is connected to the terminal control system by electrical signals through the on-board 5G communication module, and the vehicle diagnosis module, on-board information processing module, artificial intelligence driving assistance warning module, GPS positioning module and on-board endurance monitoring module are also connected to the on-board artificial intelligence module by electrical signals through the on-board 5G communication module; the on-board endurance monitoring module monitors the remaining battery power and endurance mileage to provide the driver with accurate endurance information;

[0017] Step 2: The terminal information processing module processes and analyzes the received vehicle information, generates visual reports and warning information, and helps users understand the vehicle status; the terminal artificial intelligence module provides users with personalized travel suggestions and services through big data analysis and artificial intelligence algorithms; the terminal storage module stores the vehicle's historical data, user information, and travel records, and provides users with comprehensive data management and query functions;

[0018] Step 3: The path information acquisition module obtains the vehicle's current driving path, road type, number of lanes and traffic signals in real time through the vehicle's navigation system or high-precision map data; the vehicle information acquisition module is responsible for collecting the vehicle's own status data in real time; the environmental perception module includes cameras and laser radars, where the camera is used to capture image information around the vehicle, and the laser radar is used to detect obstacles around the vehicle, including vehicles, pedestrians and animals; the data collection module is responsible for summarizing and collating the path information, vehicle information and data obtained by the environmental perception module to provide comprehensive data support for the data processing module; the data processing module receives data from the data collection module and performs real-time analysis and processing through artificial intelligence algorithms;

[0019] Step 4: The artificial intelligence master control module is responsible for coordinating the work between various modules to ensure the stable operation of the early warning system; when the data processing module identifies a dangerous situation, the alarm generation module will generate a corresponding alarm signal according to the warning level; the alarm sending module is responsible for sending the generated alarm signal to the vehicle's control system or driver. The alarm sending module can also send the alarm information to a remote monitoring center or emergency rescue agency through the on-board 5G communication module to deal with dangerous situations in a timely manner; the display module is responsible for presenting the warning information and vehicle status information to the driver in a visual way; the voice broadcast module converts the warning information and vehicle status information into voice signals through voice synthesis technology, and plays them to the driver through the on-board audio system;

[0020] Step 5: The Beidou positioning error correction module uses the positioning information provided by the Beidou satellite navigation system to verify and correct the data of the GPS positioning module. When the GPS signal is unstable or interfered with, the Beidou positioning error correction module can provide more accurate and reliable positioning information to ensure the normal operation of the alarm generation module; the collaborative driving module includes vehicle-to-vehicle communication and vehicle-to-road collaboration. Vehicle-to-vehicle communication realizes information exchange and collaboration between vehicles. Through vehicle-to-vehicle communication and vehicle-to-road collaboration technology, information sharing and collaborative driving between vehicles are realized; vehicle-to-road collaboration realizes information exchange and collaboration between vehicles and road infrastructure; the driver monitoring module monitors the driver's status through cameras and sensors. When the driver is in poor condition, the system will issue a warning to remind the driver to pay attention or take intervention measures;

[0021] Step 6: The battery information acquisition module collects the battery voltage, current, temperature and remaining capacity in real time. The data processing and analysis module receives the data from the battery information acquisition module, performs real-time processing and analysis, calculates the remaining cruising range, and automatically or manually adjusts the driving mode according to the remaining cruising range and the driver's settings. When the remaining cruising range is lower than the preset threshold, the driver is given a warning or prompt, suggesting charging or adjusting the driving strategy. The power management and optimization module manages and optimizes the vehicle's power system to improve energy efficiency and extend the cruising range.

[0022] Step 7: The communication and data interaction module communicates and exchanges data with external systems (gas stations, charging stations, and remote monitoring centers). The communication and data interaction module uses the on-board communication module to connect to the Internet to obtain real-time information on the location, price, and idle status of gas stations and charging stations. The location service module provides real-time location information of the vehicle, as well as location information of surrounding gas stations and charging stations. It obtains the real-time location of the vehicle through the on-board GPS system and displays the distribution of surrounding gas stations and charging stations in combination with map data. The battery life intelligent decision-making module intelligently selects or matches the most suitable gas station / charging station based on the remaining battery life, vehicle location, and the location and status information of the gas station / charging station. During driving, it continuously monitors the remaining battery life and updates the gas station / charging station selection as needed.

[0023] Compared with the prior art, the present invention has the following beneficial effects:

[0024] 1. The automobile control system of the present invention includes an on-board control system and a terminal control system, wherein the on-board control system includes an on-board artificial intelligence module, a vehicle diagnosis module, an on-board information processing module, an on-board 5G communication module, an artificial intelligence driving assistance warning module, a GPS positioning module and an on-board endurance monitoring module, wherein the terminal control system includes a terminal 5G communication module, a terminal information processing module, a terminal artificial intelligence module and a terminal storage module; due to the use of 5G communication technology, the system can realize high-speed data transmission between the on-board control system and the terminal control system, ensuring the real-time transmission and processing of vehicle status, fault information, driving assistance data, etc.; the on-board artificial intelligence module can handle complex driving decisions and vehicle control tasks, make intelligent judgments based on real-time data, and realize automatic driving or assisted driving functions. At the same time, the terminal artificial intelligence module can provide personalized travel suggestions and services based on the user's historical data and travel habits, and enhance the user's driving experience; the vehicle diagnosis module can monitor the working status of various components of the vehicle in real time, including the engine, battery, tires, etc., and promptly discover and report potential faults to avoid safety problems caused by vehicle faults. At the same time, the on-board endurance monitoring module can accurately monitor the remaining battery power and endurance mileage, provide the driver with accurate endurance information, and ensure energy supply during driving.

[0025] 2. The present invention adopts an artificial intelligence driving assistance warning module, wherein the artificial intelligence driving assistance warning module includes a path information acquisition module, a vehicle information acquisition module, an environment perception module, a data collection module, a Beidou positioning error correction module, a data processing module, an alarm generation module, an artificial intelligence master control module, an alarm sending module, a display module, a voice broadcast module, a collaborative driving module and a driver monitoring module. The sub-modules in the artificial intelligence driving assistance warning module work together to realize the warning and auxiliary functions of intelligent driving, thereby ensuring the safety and intelligence of the vehicle.

[0026] 3. The present invention provides a battery life monitoring module, which can realize the function of automatically selecting or matching gas stations and charging stations according to the remaining battery life, thereby significantly improving the effect of intelligent battery life. The driver does not need to worry about the battery life issue, the system will automatically select the nearest gas station / charging station with the right price for him, and provide navigation guidance to ensure that the vehicle can continue to operate, improving the safety and convenience of driving.

[0027] The specific implementation modes of the present invention are further described in detail below with reference to the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] In the attached picture:

[0029] Figure 1 It is a schematic diagram of the vehicle-mounted control system of the present invention;

[0030] Figure 2 This is a schematic diagram of the battery life monitoring module of the present invention. DETAILED DESCRIPTION

[0031] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. The following embodiments are used to illustrate the present invention.

[0032] A 5G-based new energy vehicle control system and control method thereof, such as Figure 1 and Figure 2As shown, it includes a vehicle control system, which includes an on-board control system and a terminal control system, wherein the on-board control system includes an on-board artificial intelligence module, a vehicle diagnosis module, an on-board information processing module, an on-board 5G communication module, an artificial intelligence driving assistance warning module, a GPS positioning module and an on-board endurance monitoring module; the on-board artificial intelligence module is responsible for processing complex driving decisions and vehicle control tasks; the vehicle diagnosis module monitors the working status of various components of the vehicle in real time, wherein the monitoring of the working status of various components of the vehicle specifically includes but does not require the engine, battery and tires, and once an abnormality is found, an alarm is immediately issued, and the fault information is transmitted to the on-board 5G communication module Terminal control system; the vehicle information processing module is connected to the vehicle artificial intelligence module through electrical signals. The vehicle information processing module receives data from various sensors and modules of the vehicle, performs real-time processing and analysis, and provides decision-making basis for the vehicle artificial intelligence module; the vehicle control system is connected to the terminal control system through the vehicle 5G communication module, and the vehicle diagnosis module, vehicle information processing module, artificial intelligence driving assistance warning module, GPS positioning module and vehicle endurance monitoring module are also connected to the vehicle artificial intelligence module through the vehicle 5G communication module; the vehicle endurance monitoring module monitors the remaining battery power and endurance mileage, and provides accurate endurance information for the driver;

[0033] The terminal control system includes a terminal 5G communication module, a terminal information processing module, a terminal artificial intelligence module and a terminal storage module; the terminal information processing module processes and analyzes the received vehicle information, generates visual reports and warning information, and facilitates users to understand the vehicle status; the terminal artificial intelligence module provides users with personalized travel suggestions and services through big data analysis and artificial intelligence algorithms; the terminal storage module stores the vehicle's historical data, user information, and travel records, and provides users with comprehensive data management and query functions.

[0034] The artificial intelligence driving assistance warning module is connected to the vehicle-mounted artificial intelligence module by electrical signals, wherein the artificial intelligence driving assistance warning module includes a path information acquisition module, a vehicle information acquisition module, an environmental perception module, a data collection module, a Beidou positioning error correction module, a data processing module, an alarm generation module, an artificial intelligence master control module, an alarm sending module, a display module, a voice broadcast module, a collaborative driving module and a driver monitoring module. The path information acquisition module acquires the vehicle's current driving path, road type, number of lanes and traffic signals in real time through the vehicle-mounted navigation system or high-precision map data; the vehicle information acquisition module is responsible for collecting the vehicle's own status data in real time; the environmental perception module includes a camera and a laser radar, wherein the camera is used to capture image information around the vehicle, and the laser radar is used to detect obstacles around the vehicle, including vehicles, pedestrians and animals; the data collection module is responsible for summarizing and arranging the data obtained by the path information, vehicle information and environmental perception module, and providing comprehensive data support for the data processing module; the data processing module receives data from the data collection module and performs real-time analysis and processing through an artificial intelligence algorithm. The artificial intelligence master control module is responsible for coordinating the work between various modules to ensure the stable operation of the early warning system; when the data processing module identifies a dangerous situation, the alarm generation module will generate a corresponding alarm signal according to the warning level; the alarm sending module is responsible for sending the generated alarm signal to the vehicle's control system or driver. The alarm sending module can also send the alarm information to a remote monitoring center or emergency rescue agency through the on-board 5G communication module to deal with dangerous situations in a timely manner; the display module is responsible for presenting the warning information and vehicle status information to the driver in a visual manner; the voice broadcast module converts the warning information and vehicle status information into voice signals through voice synthesis technology, and plays them to the driver through the on-board audio system. The Beidou positioning and error correction module uses the positioning information provided by the Beidou satellite navigation system to verify and correct the data of the GPS positioning module. When the GPS signal is unstable or interfered with, the Beidou positioning and error correction module can provide more accurate and reliable positioning information to ensure the normal operation of the alarm generation module; the collaborative driving module includes vehicle-to-vehicle communication and vehicle-to-road collaboration. Vehicle-to-vehicle communication realizes information exchange and collaboration between vehicles. Through vehicle-to-vehicle communication and vehicle-to-road collaboration technology, information sharing and collaborative driving between vehicles are realized; vehicle-to-road collaboration realizes information exchange and collaboration between vehicles and road infrastructure; the driver monitoring module monitors the driver's status through cameras and sensors. When the driver is in poor condition, the system will issue a warning to remind the driver to pay attention or take intervention measures.

[0035] The battery life monitoring module includes a battery information acquisition module, a data processing and analysis module, a driving mode adjustment module, a working mode switching module, a warning and prompting module, a communication and data interaction module, a power management and optimization module, a location service module and a battery life intelligent decision module. The battery information acquisition module collects the voltage, current, temperature and remaining capacity of the battery in real time. The data processing and analysis module receives the data from the battery information acquisition module, performs real-time processing and analysis, calculates the remaining mileage, and automatically or manually adjusts the driving mode according to the remaining mileage and the driver's settings. When the remaining mileage is lower than the preset threshold, the driver is warned or prompted to recommend charging or adjusting the driving strategy. The power management and optimization module manages and optimizes the vehicle's power system to improve energy efficiency and extend the mileage. The communication and data interaction module communicates and interacts with external systems (gas stations, charging stations, and remote monitoring centers). The communication and data interaction module uses the on-board communication module to connect to the Internet to obtain real-time location, price, and idle status information of gas stations and charging stations. The location service module provides real-time location information of the vehicle, as well as location information of surrounding gas stations and charging stations. The real-time location of the vehicle is obtained through the on-board GPS system, and the distribution of surrounding gas stations and charging stations is displayed in combination with map data. The battery life intelligent decision-making module intelligently selects or matches the most suitable gas station / charging station based on the remaining battery life, vehicle location, and location and status information of gas stations / charging stations. During driving, the remaining battery life is continuously monitored, and the selection of gas stations / charging stations is updated as needed.

[0036] A control method based on a 5G new energy vehicle control system includes the following working steps:

[0037] Step 1: The on-board artificial intelligence module is responsible for handling complex driving decisions and vehicle control tasks; the vehicle diagnosis module monitors the working status of various vehicle components in real time, including but not including the engine, battery and tires. Once an abnormality is found, an alarm is immediately issued, and the fault information is transmitted to the terminal control system through the on-board 5G communication module; the on-board information processing module is connected to the on-board artificial intelligence module by electrical signals. The on-board information processing module receives data from various sensors and modules of the vehicle, performs real-time processing and analysis, and provides decision-making basis for the on-board artificial intelligence module; the vehicle control system is connected to the terminal control system by electrical signals through the on-board 5G communication module, and the vehicle diagnosis module, on-board information processing module, artificial intelligence driving assistance warning module, GPS positioning module and on-board endurance monitoring module are also connected to the on-board artificial intelligence module by electrical signals through the on-board 5G communication module; the on-board endurance monitoring module monitors the remaining battery power and endurance mileage to provide the driver with accurate endurance information;

[0038] Step 2: The terminal information processing module processes and analyzes the received vehicle information, generates visual reports and warning information, and helps users understand the vehicle status; the terminal artificial intelligence module provides users with personalized travel suggestions and services through big data analysis and artificial intelligence algorithms; the terminal storage module stores the vehicle's historical data, user information, and travel records, and provides users with comprehensive data management and query functions;

[0039] Step 3: The path information acquisition module obtains the vehicle's current driving path, road type, number of lanes and traffic signals in real time through the vehicle's navigation system or high-precision map data; the vehicle information acquisition module is responsible for collecting the vehicle's own status data in real time; the environmental perception module includes cameras and laser radars, where the camera is used to capture image information around the vehicle, and the laser radar is used to detect obstacles around the vehicle, including vehicles, pedestrians and animals; the data collection module is responsible for summarizing and collating the path information, vehicle information and data obtained by the environmental perception module to provide comprehensive data support for the data processing module; the data processing module receives data from the data collection module and performs real-time analysis and processing through artificial intelligence algorithms;

[0040] Step 4: The artificial intelligence master control module is responsible for coordinating the work between various modules to ensure the stable operation of the early warning system; when the data processing module identifies a dangerous situation, the alarm generation module will generate a corresponding alarm signal according to the warning level; the alarm sending module is responsible for sending the generated alarm signal to the vehicle's control system or driver. The alarm sending module can also send the alarm information to a remote monitoring center or emergency rescue agency through the on-board 5G communication module to deal with dangerous situations in a timely manner; the display module is responsible for presenting the warning information and vehicle status information to the driver in a visual way; the voice broadcast module converts the warning information and vehicle status information into voice signals through voice synthesis technology, and plays them to the driver through the on-board audio system;

[0041] Step 5: The Beidou positioning error correction module uses the positioning information provided by the Beidou satellite navigation system to verify and correct the data of the GPS positioning module. When the GPS signal is unstable or interfered with, the Beidou positioning error correction module can provide more accurate and reliable positioning information to ensure the normal operation of the alarm generation module; the collaborative driving module includes vehicle-to-vehicle communication and vehicle-to-road collaboration. Vehicle-to-vehicle communication realizes information exchange and collaboration between vehicles. Through vehicle-to-vehicle communication and vehicle-to-road collaboration technology, information sharing and collaborative driving between vehicles are realized; vehicle-to-road collaboration realizes information exchange and collaboration between vehicles and road infrastructure; the driver monitoring module monitors the driver's status through cameras and sensors. When the driver is in poor condition, the system will issue a warning to remind the driver to pay attention or take intervention measures;

[0042] Step 6: The battery information acquisition module collects the battery voltage, current, temperature and remaining capacity in real time. The data processing and analysis module receives the data from the battery information acquisition module, performs real-time processing and analysis, calculates the remaining cruising range, and automatically or manually adjusts the driving mode according to the remaining cruising range and the driver's settings. When the remaining cruising range is lower than the preset threshold, the driver is given a warning or prompt, suggesting charging or adjusting the driving strategy. The power management and optimization module manages and optimizes the vehicle's power system to improve energy efficiency and extend the cruising range.

[0043] Step 7: The communication and data interaction module communicates and exchanges data with external systems (gas stations, charging stations, and remote monitoring centers). The communication and data interaction module uses the on-board communication module to connect to the Internet to obtain real-time information on the location, price, and idle status of gas stations and charging stations. The location service module provides real-time location information of the vehicle, as well as location information of surrounding gas stations and charging stations. It obtains the real-time location of the vehicle through the on-board GPS system and displays the distribution of surrounding gas stations and charging stations in combination with map data. The battery life intelligent decision-making module intelligently selects or matches the most suitable gas station / charging station based on the remaining battery life, vehicle location, and the location and status information of the gas station / charging station. During driving, it continuously monitors the remaining battery life and updates the gas station / charging station selection as needed.

[0044] It is to be understood that the present invention is described by some embodiments, and it is known to those skilled in the art that various changes or equivalent substitutions may be made to these features and embodiments without departing from the spirit and scope of the present invention. In addition, under the teachings of the present invention, these features and embodiments may be modified to adapt to specific circumstances and materials without departing from the spirit and scope of the present invention. Therefore, the present invention is not limited by the specific embodiments disclosed herein, and all embodiments falling within the scope of the claims of this application are within the scope of protection of the present invention.

Claims

1. A 5G-based new energy vehicle control system, including a vehicle control system, characterized in that: The automobile control system includes an on-board control system and a terminal control system, wherein the on-board control system includes an on-board artificial intelligence module, a vehicle diagnosis module, an on-board information processing module, an on-board 5G communication module, an artificial intelligence driving assistance warning module, a GPS positioning module and an on-board endurance monitoring module; The on-board artificial intelligence module is responsible for handling complex driving decisions and vehicle control tasks; the vehicle diagnostic module monitors the working status of various vehicle components in real time, including but not including the engine, battery and tires. Once an abnormality is found, an alarm is immediately issued and the fault information is transmitted to the terminal control system through the on-board 5G communication module; The on-board information processing module is connected to the on-board artificial intelligence module through electrical signals. The on-board information processing module receives data from various sensors and modules of the vehicle, performs real-time processing and analysis, and provides decision-making basis for the on-board artificial intelligence module; the vehicle control system is connected to the terminal control system through the on-board 5G communication module through electrical signals, and the vehicle diagnosis module, on-board information processing module, artificial intelligence driving assistance warning module, GPS positioning module and on-board endurance monitoring module are also connected to the on-board artificial intelligence module through the on-board 5G communication module; the on-board endurance monitoring module monitors the remaining battery power and endurance mileage, and provides accurate endurance information for the driver; The terminal control system includes a terminal 5G communication module, a terminal information processing module, a terminal artificial intelligence module and a terminal storage module; the terminal information processing module processes and analyzes the received vehicle information, generates visual reports and warning information, and facilitates users to understand the vehicle status; The terminal artificial intelligence module provides users with personalized travel suggestions and services through big data analysis and artificial intelligence algorithms; The terminal storage module stores the vehicle's historical data, user information, and travel records, providing users with comprehensive data management and query functions.

2. The 5G-based new energy vehicle control system according to claim 1 is characterized in that: The artificial intelligence driving assistance warning module is electrically connected to the on-board artificial intelligence module, wherein the artificial intelligence driving assistance warning module includes a path information acquisition module, a vehicle information acquisition module, an environmental perception module, a data collection module, a Beidou positioning error correction module, a data processing module, an alarm generation module, an artificial intelligence master control module, an alarm sending module, a display module, a voice broadcast module, a collaborative driving module and a driver monitoring module.

3. The 5G-based new energy vehicle control system according to claim 2 is characterized in that: The path information acquisition module acquires the vehicle's current driving path, road type, number of lanes and traffic signals in real time through the vehicle's navigation system or high-precision map data; the vehicle information acquisition module is responsible for collecting the vehicle's own status data in real time; the environment perception module includes a camera and a laser radar, wherein the camera is used to capture image information around the vehicle, and the laser radar is used to detect obstacles around the vehicle, including vehicles, pedestrians and animals; The data collection module is responsible for summarizing and organizing the data obtained by the path information, vehicle information and environmental perception module, and providing comprehensive data support for the data processing module; the data processing module receives data from the data collection module and performs real-time analysis and processing through artificial intelligence algorithms.

4. The 5G-based new energy vehicle control system according to claim 3 is characterized in that: The artificial intelligence master control module is responsible for coordinating the work between various modules to ensure the stable operation of the early warning system; when the data processing module identifies a dangerous situation, the alarm generation module will generate a corresponding alarm signal according to the warning level; the alarm sending module is responsible for sending the generated alarm signal to the vehicle's control system or driver, and the alarm sending module can also send the alarm information to a remote monitoring center or emergency rescue agency through the on-board 5G communication module to handle the dangerous situation in a timely manner; The display module is responsible for presenting the warning information and vehicle status information to the driver in a visual manner; the voice broadcast module converts the warning information and vehicle status information into voice signals through speech synthesis technology, and plays them to the driver through the vehicle audio system.

5. The 5G-based new energy vehicle control system according to claim 4 is characterized in that: The Beidou positioning and error correction module uses the positioning information provided by the Beidou satellite navigation system to verify and correct the data of the GPS positioning module. When the GPS signal is unstable or interfered with, the Beidou positioning and error correction module can provide more accurate and reliable positioning information to ensure the normal operation of the alarm generation module; the collaborative driving module includes vehicle-to-vehicle communication and vehicle-to-road collaboration. Vehicle-to-vehicle communication realizes information exchange and collaboration between vehicles. Through vehicle-to-vehicle communication and vehicle-to-road collaboration technology, information sharing and collaborative driving between vehicles are realized; vehicle-to-road collaboration realizes information exchange and collaboration between vehicles and road infrastructure; the driver monitoring module monitors the driver's status through cameras and sensors. When the driver is in poor condition, the system will issue a warning to remind the driver to pay attention or take intervention measures.

6. The 5G-based new energy vehicle control system according to claim 1 is characterized in that: The battery life monitoring module includes a battery information acquisition module, a data processing and analysis module, a driving mode adjustment module, a working mode switching module, a warning and prompt module, a communication and data interaction module, a power management and optimization module, a location service module and a battery life intelligent decision-making module.

7. The 5G-based new energy vehicle control system according to claim 6 is characterized in that: The battery information acquisition module collects the battery voltage, current, temperature and remaining capacity in real time. The data processing and analysis module receives the data from the battery information acquisition module, performs real-time processing and analysis, calculates the remaining cruising range, and automatically or manually adjusts the driving mode according to the remaining cruising range and the driver's settings. When the remaining cruising range is lower than a preset threshold, a warning or prompt is issued to the driver, suggesting charging or adjusting the driving strategy. The power management and optimization module manages and optimizes the vehicle's power system to improve energy utilization efficiency and extend the cruising range.

8. The 5G-based new energy vehicle control system according to claim 7 is characterized in that: The communication and data interaction module communicates and exchanges data with external systems (gas stations, charging stations, and remote monitoring centers). The communication and data interaction module uses the vehicle-mounted communication module to connect to the Internet and obtain the location, price, and idle status information of gas stations and charging stations in real time; The location service module provides the vehicle's real-time location information, as well as the location information of surrounding gas stations and charging stations. It obtains the vehicle's real-time location through the on-board GPS system and displays the distribution of surrounding gas stations and charging stations in combination with map data. The battery life intelligent decision-making module intelligently selects or matches the most suitable gas station / charging station based on the remaining battery life, vehicle location, and the location and status information of gas stations / charging stations. During driving, it continuously monitors the remaining battery life and updates the gas station / charging station selection as needed.

9. A control method based on a 5G new energy vehicle control system, characterized in that: The following steps are included: Step 1: The on-board artificial intelligence module is responsible for handling complex driving decisions and vehicle control tasks; the vehicle diagnostic module monitors the working status of each vehicle component in real time, including but not including the engine, battery and tires. Once an abnormality is found, an alarm is immediately issued and the fault information is transmitted to the terminal control system through the on-board 5G communication module; The on-board information processing module is connected to the on-board artificial intelligence module through electrical signals. The on-board information processing module receives data from various sensors and modules of the vehicle, performs real-time processing and analysis, and provides decision-making basis for the on-board artificial intelligence module; the vehicle control system is connected to the terminal control system through the on-board 5G communication module through electrical signals, and the vehicle diagnosis module, on-board information processing module, artificial intelligence driving assistance warning module, GPS positioning module and on-board endurance monitoring module are also connected to the on-board artificial intelligence module through the on-board 5G communication module; the on-board endurance monitoring module monitors the remaining battery power and endurance mileage, and provides accurate endurance information for the driver; Step 2: The terminal information processing module processes and analyzes the received vehicle information and generates visual reports and warning information to help users understand the vehicle status; The terminal artificial intelligence module provides users with personalized travel suggestions and services through big data analysis and artificial intelligence algorithms; the terminal storage module stores historical vehicle data, user information, and travel records, providing users with comprehensive data management and query functions; Step 3: The path information acquisition module obtains the vehicle's current driving path, road type, number of lanes and traffic signals in real time through the vehicle's navigation system or high-precision map data; the vehicle information acquisition module is responsible for collecting the vehicle's own status data in real time; the environment perception module includes cameras and laser radars, where the camera is used to capture image information around the vehicle, and the laser radar is used to detect obstacles around the vehicle, including vehicles, pedestrians and animals; The data collection module is responsible for summarizing and organizing the data obtained by the route information, vehicle information and environment perception module, and providing comprehensive data support for the data processing module; the data processing module receives the data from the data collection module and performs real-time analysis and processing through artificial intelligence algorithms; Step 4: The AI ​​master control module is responsible for coordinating the work between various modules to ensure the stable operation of the early warning system; when the data processing module identifies a dangerous situation, the alarm generation module will generate a corresponding alarm signal according to the warning level; the alarm sending module is responsible for sending the generated alarm signal to the vehicle's control system or driver. The alarm sending module can also send the alarm information to a remote monitoring center or emergency rescue agency through the on-board 5G communication module to handle the dangerous situation in a timely manner; The display module is responsible for presenting the warning information and vehicle status information to the driver in a visual manner; the voice broadcast module converts the warning information and vehicle status information into voice signals through speech synthesis technology, and plays them to the driver through the vehicle audio system; Step 5: The Beidou positioning error correction module uses the positioning information provided by the Beidou satellite navigation system to verify and correct the data of the GPS positioning module. When the GPS signal is unstable or interfered with, the Beidou positioning error correction module can provide more accurate and reliable positioning information to ensure the normal operation of the alarm generation module; the collaborative driving module includes vehicle-to-vehicle communication and vehicle-to-road collaboration. Vehicle-to-vehicle communication realizes information exchange and collaboration between vehicles. Through vehicle-to-vehicle communication and vehicle-to-road collaboration technology, information sharing and collaborative driving between vehicles are realized; vehicle-to-road collaboration realizes information exchange and collaboration between vehicles and road infrastructure; the driver monitoring module monitors the driver's status through cameras and sensors. When the driver is in poor condition, the system will issue a warning to remind the driver to pay attention or take intervention measures; Step 6: The battery information acquisition module collects the battery voltage, current, temperature and remaining capacity in real time. The data processing and analysis module receives the data from the battery information acquisition module, performs real-time processing and analysis, calculates the remaining cruising range, and automatically or manually adjusts the driving mode according to the remaining cruising range and the driver's settings. When the remaining cruising range is lower than the preset threshold, the driver is given a warning or prompt, suggesting charging or adjusting the driving strategy. The power management and optimization module manages and optimizes the vehicle's power system to improve energy efficiency and extend the cruising range. Step 7: The communication and data interaction module communicates and interacts with external systems (gas stations, charging stations, and remote monitoring centers). The communication and data interaction module uses the vehicle communication module to connect to the Internet and obtain the location, price, and idle status information of gas stations and charging stations in real time. The location service module provides the vehicle's real-time location information, as well as the location information of surrounding gas stations and charging stations. It obtains the vehicle's real-time location through the on-board GPS system and displays the distribution of surrounding gas stations and charging stations in combination with map data. The battery life intelligent decision-making module intelligently selects or matches the most suitable gas station / charging station based on the remaining battery life, vehicle location, and the location and status information of gas stations / charging stations. During driving, it continuously monitors the remaining battery life and updates the gas station / charging station selection as needed.

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