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Pareto Efficient Policy for Supervisory Power Management Control...

by Andreas Malikopoulos
Publication Type
Conference Paper
Publication Date
Page Numbers
2843 to 2848
Volume
N/A
Conference Name
IEEE Intelligent Transportation Systems Conference 2015
Conference Location
de Gran Canaria, Spain
Conference Sponsor
IEEE, ITSS
Conference Date
-

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.