2nd International Conference On Systems Engineering and Modeling (ICSEM-13)

Optimization of Hybrid Electric Bus Control Strategy with Hybrid Optimization Algorithm

Authors
Jianping Gao, Zhennan Liu, Zhijun Guo, Yuehui Wei
Corresponding Author
Jianping Gao
Available Online April 2013.
DOI
https://doi.org/10.2991/icsem.2013.62How to use a DOI?
Keywords
Hybrid Electric Bus, control strategy, multi-island genetic algorithm, hybrid optimization algorithm
Abstract
control strategy is one of the most decisive techniques in Hybrid Electric Bus (HEB) and directly influences the dynamic performance and fuel economy. For achieving the best fuel economy and keeping the battery for a long time, First, power analytic control strategy was built; then, the hybrid optimization algorithm (HOA) based on Multi-island genetic Algorithm (MIGA) and NLPQL was built by ISIGHT software. HOA is adopted in control strategy parameters of HEB optimization. The results show that the best result can be obtained in few iterative times by HOA, the calculation time was reduce by 12 hours, the fuel economy was improved by 12% and find the rules between control strategy parameters and fuel economy the balance of the battery state of charge(SOC).
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This is an open access article distributed under the CC BY-NC license.

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Proceedings
2nd International Conference On Systems Engineering and Modeling (ICSEM-13)
Part of series
Advances in Intelligent Systems Research
Publication Date
April 2013
ISBN
978-94-91216-42-8
ISSN
1951-6851
DOI
https://doi.org/10.2991/icsem.2013.62How 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  - Jianping Gao
AU  - Zhennan Liu
AU  - Zhijun Guo
AU  - Yuehui Wei
PY  - 2013/04
DA  - 2013/04
TI  - Optimization of Hybrid Electric Bus Control Strategy with Hybrid Optimization Algorithm
BT  - 2nd International Conference On Systems Engineering and Modeling (ICSEM-13)
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/icsem.2013.62
DO  - https://doi.org/10.2991/icsem.2013.62
ID  - Gao2013/04
ER  -