Proceedings of the 5th International Symposium on Knowledge Acquisition and Modeling

A Study of the Performance of PEMFC Hybrid Vehicle Using ADVISOR

Authors
Liang Jingming, Wu Zefeng
Corresponding Author
Liang Jingming
Available Online June 2015.
DOI
10.2991/kam-15.2015.68How to use a DOI?
Keywords
ADVISOR; PEMFC; vehicle; hybrid.
Abstract

This study investigates the configuration and optimization of an energy system for Polymeric electrolyte membrane fuel cell (PEMFC) based hybrid vehicle. The energy system determines the fuel economy and dynamic performance of the vehicle. Hence, this investigation stresses the optimal energy distribution for the three power sources, namely the fuel cell, battery and super-capacitor. In particular, an optimal energy distribution control strategy is undertaken in the auxiliary energy provider comprising a battery and super-capacitor, which can enhance the dynamic performance of the vehicle and prolong the life of its components. Advanced vehicle simulator (ADVISOR) is used in this research to determine an optimal energy distribution control strategy and achieves a good estimate of the performance of the PEMFC hybrid vehicle, saving time and cost.

Copyright
© 2015, 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 5th International Symposium on Knowledge Acquisition and Modeling
Series
Advances in Intelligent Systems Research
Publication Date
June 2015
ISBN
978-94-62520-87-5
ISSN
1951-6851
DOI
10.2991/kam-15.2015.68How to use a DOI?
Copyright
© 2015, 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  - Liang Jingming
AU  - Wu Zefeng
PY  - 2015/06
DA  - 2015/06
TI  - A Study of the Performance of PEMFC Hybrid Vehicle Using ADVISOR
BT  - Proceedings of the 5th International Symposium on Knowledge Acquisition and Modeling
PB  - Atlantis Press
SP  - 247
EP  - 250
SN  - 1951-6851
UR  - https://doi.org/10.2991/kam-15.2015.68
DO  - 10.2991/kam-15.2015.68
ID  - Jingming2015/06
ER  -