Abstract and Applied Analysis

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

Xiaoling Fu, Huixuan Wang, Naxin Cui, and Chenghui Zhang

Full-text: Open access

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.

Article information

Source
Abstr. Appl. Anal., Volume 2014, Special Issue (2013), Article ID 341096, 6 pages.

Dates
First available in Project Euclid: 27 February 2015

Permanent link to this document
https://projecteuclid.org/euclid.aaa/1425049090

Digital Object Identifier
doi:10.1155/2014/341096

Zentralblatt MATH identifier
07022187

Citation

Fu, Xiaoling; Wang, Huixuan; Cui, Naxin; Zhang, Chenghui. Energy Management Strategy Based on the Driving Cycle Model for Plugin Hybrid Electric Vehicles. Abstr. Appl. Anal. 2014, Special Issue (2013), Article ID 341096, 6 pages. doi:10.1155/2014/341096. https://projecteuclid.org/euclid.aaa/1425049090


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