Vehicle Motion Profile Optimization for Tyre Wear and Energy Balance
Solution Overview
Problem
Existing vehicle motion management systems prioritize energy efficiency over tyre wear, leading to increased tyre wear that outweighs the benefits of energy efficiency, particularly in strategies like regenerative braking.
Innovation Solution
A system and method for determining a vehicle motion profile that balances energy usage and tyre wear by formulating an optimisation problem, such as a non-linear optimal control problem (NOCP), considering costs associated with both energy usage and tyre wear, ensuring the total cost remains below a threshold and the vehicle path range is met.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If regenerative braking is used to increase energy efficiency, then energy usage is improved, but tyre wear increases
Solution Approach 1:
The system changes the parameters of vehicle motion (speed, acceleration, braking force) dynamically along the path to optimize the balance between energy efficiency and tyre wear. By adjusting motion parameters rather than using fixed strategies, the system can reduce tyre wear while maintaining energy efficiency.
Solution Approach 2:
The system performs preliminary analysis of the upcoming path characteristics (friction profile, curvature, vertical profile) and pre-plans the vehicle motion profile to avoid excessive tyre wear before it occurs. This predictive approach allows the system to prepare optimal braking and acceleration strategies in advance.
2Use of energy by moving object
If vehicle motion is optimized for energy efficiency, then energy usage is improved, but total cost (energy + tyre wear) may exceed threshold
Solution Approach 1:
The system uses feedback from path information (friction profile, curvature, vertical profile) and real-time vehicle state to continuously adjust the motion profile. This feedback mechanism ensures that the total cost remains below the threshold by adapting to changing conditions along the path.
Solution Approach 2:
The system transitions from static motion planning to dynamic motion optimization, where the vehicle motion profile is continuously adapted based on path characteristics and cost considerations. This dynamic approach allows the system to maintain optimal balance between energy usage and tyre wear throughout the journey.
Data Source
AI summary
A computer system determines a vehicle motion profile. The computer system has processing circuitry to acquire information related to an upcoming vehicle path, including a range of the vehicle path; and determine a vehicle motion profile as a solution to an optimisation problem that describes a total cost for a vehicle to follow the vehicle path including a first cost associated with energy usage of the vehicle and a second cost associated with tyre wear of the vehicle. The total cost associated with the solution to the optimisation problem is below a threshold. The determined vehicle motion profile meets the range of the vehicle path.