Proceedings of the 2015 International Conference on Management, Education, Information and Control

Fuzzy Control of Batteries Fast Charging for HEV in Regenerative Braking

Authors
Zhumu Fu, Aiyun Gao
Corresponding Author
Zhumu Fu
Available Online June 2015.
DOI
https://doi.org/10.2991/meici-15.2015.4How to use a DOI?
Keywords
HEV; regenerative braking; fuzzy control; fast charging
Abstract
In this paper, a fuzzy controller is constructed on the basis of the hybrid electric vehicle’s (HEV’s) batteries fast charging during regenerative braking. The proposed method is based on Mascc law and the mathematical relationship between open circuit voltage with the internal resistance model and charge efficiency. A closed-loop control system simulation model is accomplished in Matlab and the rate of electric energy recovery for HEV is calculated with different control strategy. It is shown that the rate of electric energy recovery with the fuzzy control strategy is increased by 8.41% compared with the constant current charge method in the same brake condition, thus the fuel economy is greatly improved.
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Proceedings
2015 International Conference on Management, Education, Information and Control
Part of series
Advances in Intelligent Systems Research
Publication Date
June 2015
ISBN
978-94-62520-85-1
ISSN
1951-6851
DOI
https://doi.org/10.2991/meici-15.2015.4How 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  - Zhumu Fu
AU  - Aiyun Gao
PY  - 2015/06
DA  - 2015/06
TI  - Fuzzy Control of Batteries Fast Charging for HEV in Regenerative Braking
BT  - 2015 International Conference on Management, Education, Information and Control
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/meici-15.2015.4
DO  - https://doi.org/10.2991/meici-15.2015.4
ID  - Fu2015/06
ER  -