NDLI: Novel Fuzzy Control Energy Management Strategy for Fuel Cell Hybrid Electric Vehicles Considering State of Health

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Novel Fuzzy Control Energy Management Strategy for Fuel Cell Hybrid Electric Vehicles Considering State of Health

Content Provider	MDPI
Author	Hu, Xiao Liu, Shikun Song, Ke Gao, Yuan Zhang, Tong
Copyright Year	2021
Description	Due to the low efficiency and high pollution of conventional internal combustion engine vehicles, the fuel cell hybrid electric vehicles are expected to play a key role in the future of clean energy transportation attributed to the long driving range, short hydrogen refueling time and environmental advantages. The development of energy management strategies has an important impact on the economy and durability, but most strategies ignore the aging of fuel cells and the corresponding impact on hydrogen consumption. In this paper, a rule-based fuzzy control strategy is proposed based on the constructed data-driven online estimation model of fuel cell health. Then, a genetic algorithm is used to optimize this fuzzy controller, where the objective function is designed to consider both the economy and durability by combining the hydrogen consumption cost and the degradation cost characterized by the fuel cell health status. Considering that the rule-based strategy is more sensitive to operating conditions, this paper uses an artificial neural network for predictive control. The results are compared with those obtained from the genetic algorithm optimized fuzzy controller and are found to be very similar, where the prediction accuracy is assessed using MAPE, RMSE and 10-fold cross-validation. Experiments show that the developed strategy has a good generalization capability for variable driving cycles.
Starting Page	6481
e-ISSN	19961073
DOI	10.3390/en14206481
Journal	Energies
Issue Number	20
Volume Number	14
Language	English
Publisher	MDPI
Publisher Date	2021-10-10
Access Restriction	Open
Subject Keyword	Energies Industrial Engineering Transportation Science and Technology Fuel Cell Hybrid Electric Vehicle Fuzzy Control Energy Management Strategy State of Health Genetic Algorithm Neural Network
Content Type	Text
Resource Type	Article

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