Operation control strategy optimization based on power loss minimization in multiple topology 4 Wheel-Drive Electric Vehicles

This thesis explores the development and implementation of a driving operation optimizer for electric vehicles, originating from a focus on torque distribution in four-wheel-drive (4WD) systems, taking into account various drivetrain topologies. As the research progressed, the scope broadened to address a wider range of characteristics that influence vehicle efficiency, such as gears, disconnect units and voltage. A key innovation in this research is the implementation of an energy-based delay algorithm for shifting bistable states, such as gears or disconnect units. The optimizer is developed in MATLAB® utilizing an array-based computational approach to minimize processing time, and implemented in a vehicle longitudinal model within Simulink, enabling the evaluation and validation of diverse operational strategies. Simulation results reveal the optimizer’s capability to increase the driving range of 4WD electric vehicles. This research contributes to the thriving field of electric vehicle optimization, offering a novel methodology for maximizing efficiency and performance. By addressing the complexities of torque distribution, energy management, and state transitions, the study provides valuable insights into the future of sustainable automotive technology.