Optimization of Hybrid Electric Bus Control Strategy with Hybrid Optimization Algorithm

DOI

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).

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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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  - Proceedings of the 2nd International Conference On Systems Engineering and Modeling (ICSEM 2013)
PB  - Atlantis Press
SP  - 328
EP  - 334
SN  - 1951-6851
UR  - https://doi.org/10.2991/icsem.2013.62
DO  - 10.2991/icsem.2013.62
ID  - Gao2013/04
ER  -