Model development for a parallel through-the-road plug-in hybrid electric vehicle

Abstract

To develop a control strategy for a vehicle, the most important factors are to minimize the cost in terms of time and resources, and availability of a risk-free test environment to test new strategies. This paper presents the strategy for developing control-based models for a plug-in hybrid vehicle. The resulting vehicle model will allow development of advanced supervisory control strategies for the vehicle. Further, it will minimize the required experimentation on vehicle, by enabling model-based control development and calibration. More specifically, the paper will present the methodology and the results of calibration of models for different subsystems.