Proceedings of the 2016 International Forum on Management, Education and Information Technology Application

A Research on the Four-State Control Strategy Based on the Specific Condition

Authors
Zhihong Wang, Fei Zhang, Changqing Du, Huiping Yang
Corresponding Author
Zhihong Wang
Available Online January 2016.
DOI
https://doi.org/10.2991/ifmeita-16.2016.29How to use a DOI?
Keywords
PHEV; CS-CD; Four-state; GT-drive
Abstract
The Four-State control strategy based on the original CD-CS strategy has been designed by using a plug-in hybrid electric vehicle (PHEV) as the research object. The disadvantage of the CD-CS strategy is that when the driving distance is more than the maximum pure electric driving range, vehicle enters prematurely into the charge sustaining mode, resulting in the battery in a low SOC state for a long time. The software GT-drive was used to model and simulate the PHEV. The analysis results show that the Four-State control strategy is more fuel-efficient than CS-CD control strategy in the case of mileage known. The fuel consumption per 100km is reduced by 10.4% and SOC remains at high values.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
2016 International Forum on Management, Education and Information Technology Application
Part of series
Advances in Social Science, Education and Humanities Research
Publication Date
January 2016
ISBN
978-94-6252-166-7
ISSN
2352-5398
DOI
https://doi.org/10.2991/ifmeita-16.2016.29How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Zhihong Wang
AU  - Fei Zhang
AU  - Changqing Du
AU  - Huiping Yang
PY  - 2016/01
DA  - 2016/01
TI  - A Research on the Four-State Control Strategy Based on the Specific Condition
BT  - 2016 International Forum on Management, Education and Information Technology Application
PB  - Atlantis Press
SN  - 2352-5398
UR  - https://doi.org/10.2991/ifmeita-16.2016.29
DO  - https://doi.org/10.2991/ifmeita-16.2016.29
ID  - Wang2016/01
ER  -