Real time implementation of an optimal power management Strategy for a Plug-in Hybrid Electric Vehicle

A Real Time implementation of an Optimal Control Strategy for a Plug-in Hybrid Electric Vehicle is presented. The optimization aimed at minimizing the overall CO 2 emission of the vehicle by considering a Well-To-Wheel approach: the control objective has been achieved by applying the Pontryagin's Minimum Principle to a mathematical model of an experimental Plug-In Series Hybrid Electric Vehicle, the ITAN500. Realistic urban driving cycles have been used in the present investigation, in order to obtain more accurate and truthful results in terms of CO 2 emissions and fuel consumption, rather than those achievable by using standard speed profiles. Some important issues in terms of how to determine a suitable real-time behavior using a Hardware In the Loop (HIL) framework have been deeply discussed. Results in terms of Partial and Full Knowledge of the driving cycle have been presented.