Predictive Torque Control for Vehicle Stability on Changing Road Adhesion
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
New energy vehicles experience instability and discomfort due to sudden changes in road adhesion, leading to jerking, slipping, and other issues during travel on complex road conditions.
Innovation Solution
A vehicle control method and apparatus that adaptively adjusts control parameters, such as torque, based on predicted road surface characteristics and scenarios to ensure smooth and stable travel.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the vehicle uses a motor to travel on complex road surfaces, then the vehicle can achieve basic mobility, but sudden changes in road adhesion cause vehicle instability and discomfort
Solution Approach 1:
The system performs preliminary detection of road surface characteristics ahead of the vehicle using sensors (camera, LIDAR, radar). The road surface recognition module identifies potential adhesion changes before the vehicle encounters them, allowing the control system to pre-adjust torque parameters to prevent instability and discomfort
Solution Approach 2:
The system continuously monitors road surface characteristics and vehicle state through sensor feedback. The control unit receives real-time data about road adhesion changes and adjusts motor torque accordingly, creating a closed-loop control system that maintains vehicle stability despite varying road conditions
2Ease of operation
If the control parameter (output torque) fails to adapt promptly to sudden changes in road adhesion, then the vehicle structure remains simple, but the user experiences jerking, slipping, and reduced comfort
Solution Approach 1:
The control system dynamically adjusts motor output torque based on detected road surface characteristics. The torque control module modifies control parameters in real-time according to the recognized road scenario (e.g., ice, snow, wet, dry surfaces), enabling the system to adapt to changing conditions without requiring overly complex hardware
Solution Approach 2:
The system changes control parameters (torque magnitude, torque rate of change) based on road surface type. Different road surfaces have associated torque adjustment strategies that modify the motor output characteristics to match adhesion conditions, improving comfort through parameter optimization rather than structural complexity
3Reliability
If the vehicle uses adaptive torque control based on road surface detection, then driving comfort improves, but the system complexity and detection requirements increase
Solution Approach 1:
The system uses multi-functional sensors (camera, LIDAR, radar) that serve both primary navigation/safety functions and road surface characteristic detection. The same sensors used for obstacle detection and lane recognition are also utilized to identify road adhesion conditions, reducing the need for dedicated detection hardware
Solution Approach 2:
The system introduces a road surface recognition module as an intermediary between sensor data and torque control. This module processes sensor inputs to identify road surface characteristics and translates them into control strategies, simplifying the overall control architecture by creating a dedicated interpretation layer
Data Source
AI summary
A vehicle control method includes obtaining a road surface characteristic of a first area, where the first area includes an area into which a vehicle is to travel at a future first moment, determining target torque control information based on the road surface characteristic, and controlling, based on the target torque control information, the vehicle.