The goal of the suggested plan is to increase EV energy efficiency while preserving dynamic stability and comfort, especially on bumpy roads. It places a strong emphasis on brake energy usage and recovery optimization, which torque distribution algorithms frequently ignore. To maximize steering and braking torque demands under various road conditions, a hierarchical control method combines a torque vectoring algorithm with a model predictive controller. Tests on a car with in-wheel PMSM drives are used for validation and extensive energy efficiency gains are shown by stability study under various terrain conditions, increasing driving range without requiring extensive powertrain modifications. This strategy represents a significant breakthrough in environmentally friendly EV technology.
Model Predictive Control for Improving Energy Efficiency and Driving Stability in Electric Vehicles
2024-12-05
913727 byte
Conference paper
Electronic Resource
English
Springer Verlag | 2024
|GPU BASED MODEL-PREDICTIVE PATH CONTROL FOR SELF-DRIVING VEHICLES
British Library Conference Proceedings | 2021
|