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Abstract and Applied Analysis
Volume 2014, Article ID 341096, 6 pages
http://dx.doi.org/10.1155/2014/341096
Research Article

Energy Management Strategy Based on the Driving Cycle Model for Plugin Hybrid Electric Vehicles

1School of Control Science and Engineering, Shandong University, Jinan, Shandong 250061, China
2Department of Physics, Changji University, Changji, Xinjiang 831100, China
3School of Computer Science and Technology, Shandong University, Jinan, Shandong 250101, China

Received 28 March 2014; Accepted 12 May 2014; Published 5 June 2014

Academic Editor: Qi-Ru Wang

Copyright © 2014 Xiaoling Fu et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

The energy management strategy (EMS) for a plugin hybrid electric vehicle (PHEV) is proposed based on the driving cycle model and dynamic programming (DP) algorithm. A driving cycle model is constructed by collecting and processing the driving data of a certain school bus. The state of charge (SOC) profile can be obtained by the DP algorithm for the whole driving cycle. In order to optimize the energy management strategy in the hybrid power system, the optimal motor torque control sequence can be calculated using the DP algorithm for the segments between the traffic intersections. Compared with the traditional charge depleting-charge sustaining (CDCS) strategy, the test results on the ADVISOR platform show a significant improvement in fuel consumption using the EMS proposed in this paper.