An integrated control strategy for eco-driving of intelligent hybrid vehicles

Abstract

Minimum energy cost with comfort driving characteritics define the ideal human mobility. Recent technological advances in most of the Advanced Driver Assistance Systems (ADASs) equipped on electric vehicles (EVs) and hybrid electric vehicles (HEVs) not only enhance the safety and/or comfort level but also present a significant opportunity for automated eco-driving. The research presented in this paper focuses on the integrated control for Adaptive Cruise Control (ACC) and Regenerative Braking Control (RBC) of Intelligent Hybrid Vehicles (IHVs). Three key components are included in the integrated controller, which are the control strategy for ACC, the torque distribution strategy for regenerative braking and the coordinated control strategy between ACC and RBC. The integrated control architecture which is based on the coordinative mechanism of information flow, energy flow and substance flow is established, and a detail energy and powertrain analyses through simulation on a specific IHV are presented as well. A multiple domain system based co-simulation environment consisting of PanoSim-Trunk®, Mathwork Simulink® and AMEsim® is established to verify the proposed integrated control strategy. Validation of the effect for the integrated control is simulated in the typical urban scenarios. Simulation results show that the proposed integrated control strategy has a high effectiveness and reliability.