Title: Energy management for plug-in hybrid electric vehicles using equivalent consumption minimisation strategy

Authors: Pinak Tulpule, Vincenzo Marano, Giorgio Rizzoni

Addresses: Center for Automotive Research, The Ohio State University, 930 Kinnear Rd., Columbus, Ohio 43210, USA. ' Center for Automotive Research, The Ohio State University, 930 Kinnear Rd., Columbus, Ohio 43210, USA. ' Center for Automotive Research, The Ohio State University, 930 Kinnear Rd., Columbus, Ohio 43210, USA

Abstract: One strategy to minimise petroleum fuel consumption of a Plug-in Hybrid Electric Vehicle (PHEV) is to attain the lowest admissible battery State of Charge (SOC) at the end of driving cycle while following an optimal SOC profile. The challenge of an optimisation algorithm is to find this optimal profile by using least future information about the power demand. An application of Equivalent Consumption Minimisation Strategy (ECMS) for PHEV is presented in this paper and benchmarked against the dynamic programming (DP) for information requirement and optimality. The optimality is assessed in simulation by considering petroleum fuel economy and deviation of the optimal SOC profile from a reference profile for different driving scenarios and battery sizes. Results show that for longer distances and larger battery sizes, ECMS and DP provide similar fuel economy and SOC profiles. A sensitivity analysis with respect to driving distance is presented at the end of the paper.

Keywords: ECMS; equivalent consumption minimisation strategy; PHEV; plug-in hybrid electric vehicles; energy management; optimisation; dynamic programming; battery state of charge; distance sensitivity; fuel economy; hybrid vehicles; HEVs; power demand; power management; simulation.

DOI: 10.1504/IJEHV.2010.034985

International Journal of Electric and Hybrid Vehicles, 2010 Vol.2 No.4, pp.329 - 350

Published online: 31 Aug 2010 *

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