Proceedings of the 2nd International Conference On Systems Engineering and Modeling (ICSEM 2013)

Matching and Optimization for Powertrain System of Parallel Hybrid Electric Vehicle

Authors
Jianping Gao, Yuehui Wei, Zhennan Liu, Hongbing Qiao
Corresponding Author
Jianping Gao
Available Online April 2013.
DOI
10.2991/icsem.2013.61How to use a DOI?
Keywords
hybrid electric vehicle, driving cycle analysis, powertrain system matching, combinatorial optimization algorithm
Abstract

The parameters matching of the hybrid powertrain system of the hybrid electric vehicle has a directly impact on the performance of the vehicle dynamic and the fuel economy. The preliminary match of the powertrain system base on analysis of Driving Cycle is done, then the software of AVL-Cruise and Matlab are integrated with Isight to optimize parameters of match, by using the Multi-Island GA and NLPQL to establish the combinatorial optimization algorithm. The results show that the fuel economy have been improved by 10.92% without sacrificing the dynamic performance and under the premise of ensuring the limits of the state of charge of battery.

Copyright
© 2013, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2nd International Conference On Systems Engineering and Modeling (ICSEM 2013)
Series
Advances in Intelligent Systems Research
Publication Date
April 2013
ISBN
978-94-91216-42-8
ISSN
1951-6851
DOI
10.2991/icsem.2013.61How to use a DOI?
Copyright
© 2013, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Jianping Gao
AU  - Yuehui Wei
AU  - Zhennan Liu
AU  - Hongbing Qiao
PY  - 2013/04
DA  - 2013/04
TI  - Matching and Optimization for Powertrain System of Parallel Hybrid Electric Vehicle
BT  - Proceedings of the 2nd International Conference On Systems Engineering and Modeling (ICSEM 2013)
PB  - Atlantis Press
SP  - 319
EP  - 327
SN  - 1951-6851
UR  - https://doi.org/10.2991/icsem.2013.61
DO  - 10.2991/icsem.2013.61
ID  - Gao2013/04
ER  -