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Open AccessArticle

SDP Policy Iteration-Based Energy Management Strategy Using Traffic Information for Commuter Hybrid Electric Vehicles

1
Institute of Electrical Engineering, Yanshan University, Qinhuangdao 066004, China
2
Department of Engineering and Applied Sciences, Sophia University, Tokyo 102-8554, Japan
*
Author to whom correspondence should be addressed.
Energies 2014, 7(7), 4648-4675; https://doi.org/10.3390/en7074648
Received: 17 April 2014 / Revised: 26 May 2014 / Accepted: 18 June 2014 / Published: 22 July 2014
(This article belongs to the Special Issue Advances in Hybrid Vehicles)
This paper demonstrates an energy management method using traffic information for commuter hybrid electric vehicles. A control strategy based on stochastic dynamic programming (SDP) is developed, which minimizes on average the equivalent fuel consumption, while satisfying the battery charge-sustaining constraints and the overall vehicle power demand for drivability. First, according to the sample information of the traffic speed profiles, the regular route is divided into several segments and the statistic characteristics in the different segments are constructed from gathered data on the averaged vehicle speeds. And then, the energy management problem is formulated as a stochastic nonlinear and constrained optimal control problem and a modified policy iteration algorithm is utilized to generate a time-invariant state-dependent power split strategy. Finally, simulation results over some driving cycles are presented to demonstrate the effectiveness of the proposed energy management strategy. View Full-Text
Keywords: hybrid electric vehicles (HEVs); traffic information; energy management; equivalent fuel consumption; stochastic dynamic programming (SDP) hybrid electric vehicles (HEVs); traffic information; energy management; equivalent fuel consumption; stochastic dynamic programming (SDP)
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Jiao, X.; Shen, T. SDP Policy Iteration-Based Energy Management Strategy Using Traffic Information for Commuter Hybrid Electric Vehicles. Energies 2014, 7, 4648-4675.

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