GA based FC/SC fuzzy energy management system considering H2 consumption and loading variation

The hybrid of the fuel cell (FC) and Super-capacitor (SC) for Hybrid Electric Vehicle (HEV) is beneficial to compensate the slow dynamic response and avoid reactant starvation of FC. Energy management system (EMS) is critical to the HEV and a fuzzy controller plus low pass filter is proposed to prol...

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Bibliographic Details
Published in2017 36th Chinese Control Conference (CCC) pp. 4312 - 4317
Main Authors Jili Tao, Ridong Zhang, Ning Wang
Format Conference Proceeding
LanguageEnglish
Published Technical Committee on Control Theory, CAA 01.07.2017
Subjects
constrained bi-objective optimization
FC/SC powered HEV
Fuzzy plus filter energy management controller
Improved GA
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Summary:The hybrid of the fuel cell (FC) and Super-capacitor (SC) for Hybrid Electric Vehicle (HEV) is beneficial to compensate the slow dynamic response and avoid reactant starvation of FC. Energy management system (EMS) is critical to the HEV and a fuzzy controller plus low pass filter is proposed to prolong the FC lifetime and decrease hydrogen consumption. The constrained bi-objective fuzzy EMS optimization problem is then solved by a genetic algorithm (GA), where the decimal and rule base encoding, constraint handling and the pruning and maintain operator are designed to optimize both the fuzzy rule base and the parameters of the membership functions. Simulation results of NEDC illustrate that the proposed approach can smooth the output of FC with robustness and ease of implementation, which decreases 19% current variation with about 10% increase of H2 consumption.
ISSN:2161-2927
DOI:10.23919/ChiCC.2017.8028035