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

Abstract and Applied Analysis

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

Mathematics

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