Energy-efficient Straight-line Driving Torque Vectoring for Electric Vehicles with Disconnect Clutches and Unequal Front/Rear Motors

Conference presentation

• Author: Ivo Grđan
• Author: Branimir Škugor
• Author: Joško Deur
• Author's institution: University of Zagreb; Faculty of Mechanical Engineering and Naval Architecture; (Department of Robotics and Production System Automation); (Chair of Engineering Automation)
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Mechanical Engineering

Abstract (english)

This paper investigates potential of energy efficiency improvement for electric ve-hicle (EV) equipped with unequal front/rear-axle e-motors and disconnect clutch-es under straight-line driving conditions. First, a static optimization of front/rear torque distribution is performed for various driving cycles, which provides in-sights into energy efficiency gains and optimal powertrain operation including op-timal torque switching curve for two- and four-wheel drive modes. Disconnect clutches enable inactive motors to be switched off when operating in the 2WD mode to avoid their drag losses. A dynamic programming (DP)-based optimiza-tion of torque vectoring control trajectories is carried out to find the globally opti-mal energy saving potential. For clutch durability reasons, the number of clutch state changes is minimized along with energy consumption. Finally, a rule-based (RB) control strategy is proposed and verified against the DP Pareto optimal fron-tier benchmark for different certification driving cycles.

• Keywords (english): Electric Vehicles, Four-wheel Drive, Unequal Motors, Disconnect Clutches, En-ergy Efficiency, Torque Vectoring, Optimization, Control
• Language: english
• Peer review: No peer review
• URN:NBN: urn:nbn:hr:235:596322
• Presentation date: 2024-09
• Conference: Title: 16th International Symposium on Advanced Vehicle Control; Acronym: AVEC; Location: Milano, Italy; Start date: 2024-09-02; End date: 2024-09-06; Assembly type: Lecture
• Type of resource: Text
• Access conditions: Open access
• Created on: 2024-09-24 09:42:30