Energy Management Strategy Based on the Driving Cycle Model for Plugin Hybrid Electric Vehicles
Joint Authors
Zhang, Chenghui
Cui, Naxin
Fu, Xiaoling
Wang, Huixuan
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-6, 6 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-06-05
Country of Publication
Egypt
No. of Pages
6
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Fu, Xiaoling& Wang, Huixuan& Cui, Naxin& Zhang, Chenghui. 2014. Energy Management Strategy Based on the Driving Cycle Model for Plugin Hybrid Electric Vehicles. Abstract and Applied Analysis،Vol. 2014, no. 2014, pp.1-6.
https://search.emarefa.net/detail/BIM-1013731
Modern Language Association (MLA)
Fu, Xiaoling…[et al.]. Energy Management Strategy Based on the Driving Cycle Model for Plugin Hybrid Electric Vehicles. Abstract and Applied Analysis No. 2014 (2014), pp.1-6.
https://search.emarefa.net/detail/BIM-1013731
American Medical Association (AMA)
Fu, Xiaoling& Wang, Huixuan& Cui, Naxin& Zhang, Chenghui. Energy Management Strategy Based on the Driving Cycle Model for Plugin Hybrid Electric Vehicles. Abstract and Applied Analysis. 2014. Vol. 2014, no. 2014, pp.1-6.
https://search.emarefa.net/detail/BIM-1013731
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1013731