Browsing by Author "Kandidayeni, Mohsen"
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Item Open Access Investigation of the battery degradation impact on the energy management of a fuel cell hybrid electric vehicle(IEEE, 2020-01-09) Ghaderi, Razieh; Kandidayeni, Mohsen; Soleymani, Mehdi; Boulon, LoicThis paper studies the influence of battery degradation over the performance of a fuel cell hybrid electric vehicle (FCHEV). For this purpose, an optimized fuzzy strategy based on the costs of battery and fuel cell degradations as well as fuel consumption and battery recharging is employed. Simulations are done by two driving cycles for three scenarios based on battery state of health (SOH) and validity of feedback signal. Simulation results prove that battery aging has a considerable impact on the total cost of a FCHEV. Moreover, tuning of the EMS parameters according to the battery SOH decreases the defined cost.Item Open Access Online energy management of a hybrid fuel cell vehicle considering the performance variation of the power sources(The Institution of Engineering and Technology, 2020-11-13) Ghaderi, Razieh; Kandidayeni, Mohsen; Soleymani, Mehdi; Boulon, Loïc; Chaoui, HichamThis study investigates the impact of battery and fuel cell (FC) degradation on energy management of a FC hybrid electric vehicle. In this respect, an online energy management strategy (EMS) is proposed considering simultaneous online adaptation of battery and FC models. The EMS is based on quadratic programming which is integrated into an online battery and proton exchange membrane FC (PEMFC) parameters identification. Considering the battery and PEMFC states of health, three scenarios have been considered for the EMS purpose, and the performance of the proposed EMS has been examined under two driving cycles. Numerous test scenarios using standard driving cycles reveal that the ageing of battery and PEMFC has a considerable impact on the hydrogen consumption. Moreover, the proposed EMS can successfully tackle the model uncertainties owing to the performance drifts of the power sources at the mentioned scenarios.