Journal
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
Volume 42, Issue 2, Pages 1481-1489Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.ijhydene.2016.07.211
Keywords
Fuel cell; Adaptive control; Pontryagin's minimum principle; Kalman filter; Vehicle
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Funding
- Bureau de l'efficacite et de l'innovation energetique
- Ministere des Ressources naturelles et de la Faune du Quebec
- Natural Sciences and Engineering Research Council of Canada
- LTE Hydro-Quebec
- Fonds de Recherche Quebecois Nature et Technologie (FQRNT)
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This paper addresses the energy management strategy (EMS) for a fuel cell hybrid electric vehicle (FC-HEV). In this work, model parameters are identified online by using the square root unscented Kalman filter (SR-UKF) method to seek a variation in the fuel cell performances. Then, an optimization algorithm is used on the updated model to find the best efficiency and power operating points. This process is used into two strategies: (i) A hysteresis energy management strategy (EMS) and (ii) an optimal EMS based on Pontryagin's minimum principle, for a FC-HEV. The effectiveness of the proposed EMSs is demonstrated by conducting studies on a FC-HEV model. (C) 2016 Hydrogen Energy Publications LLC. Published by Elsevier Ltd. All rights reserved.
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