Adaptive Torque Distribution Control for Light Duty Parallel Hybrid Truck by Using Neural Network

摘要

In this paper, we report the development of an adaptive torque distribution control system for a light duty truck with a parallel hybrid system powered by a diesel engine and an electric motor. This control system analyzes the current driving conditions in real time on an on-board electric control unit and calculates the optimal torque distribution for fuel efficiency accordingly. We verify the effects of adaptive torque distribution control through simulation and experiment, and show that in a variety of usage environments, fuel efficiency is improved in comparison with a conventional control system.