September 2015

Conference Paper

Pareto Efficient Policy for Supervisory Power Management Control

By:
Malikopoulos, Andreas
Page Number:
2843-2848
Volume:
N/A
Publication Date:
September 2015
Conference Name:
IEEE Intelligent Transportation Systems Conference 2015
Conference Location:
de Gran Canaria, Spain
Conference Sponsor:
IEEE, ITSS
View DOI Listing:
https://doi.org/10.1109/ITSC.2015.457

Abstract

n this paper we address the problem of online optimization of the supervisory power management control in parallel hybrid electric vehicles (HEVs). We model HEV opera- tion as a controlled Markov chain using the long-run expected average cost per unit time criterion, and we show that the control policy yielding the Pareto optimal solution minimizes the average cost criterion online. The effectiveness of the proposed solution is validated through simulation and compared to the solution derived with dynamic programming using the average cost criterion.