Energy Management Strategy Based on a Combination of Frequency Separation and Fuzzy Logic for Fuel Cell Hybrid Electric Vehicles

M. Essoufi (1) , B. Hajji (2) , A. Rabhi (3)

1 Université Ibn Zohr [Agadir]
2 Ecole Nationale des Sciences Appliquées d'Oujda
3 MIS - Modélisation, Information et Systèmes - UR UPJV 4290

Energy management of Hybrid Electric Vehicles (HEV) remains a concern and a challenge for many researchers. This paper presents, an energy management strategy for hybrid electric vehicles powered by fuel cell as a primary source and Li-Ion battery as a secondary one. Our proposed approach combines the frequency separation energy management strategy and a fuzzy logic controller. The principle of this strategy is based on routing the low-frequency components of power demand to the fuel cell and the high frequencies to the battery and through a fuzzy logic controller, the low-frequency component is corrected to control the battery state of charge. The models of the hybrid electric vehicle and the management strategy are evaluated under Matlab/Simulink for the New European Driving Cycle (NEDC) and the Urban Dynamo-meter Driving Schedule (UDDS). The simulation results show the good performances of the proposed strategy through respect of each source dynamics and maintenance of bounded battery state of charge (SOC). \textcopyright Springer Nature Singapore Pte Ltd. 2021.

Domaines: Informatique [cs]

M. Essoufi, B. Hajji, A. Rabhi. Energy Management Strategy Based on a Combination of Frequency Separation and Fuzzy Logic for Fuel Cell Hybrid Electric Vehicles. Lecture notes in Electrical Engineering, 2021, 681, pp.593--606. ⟨10.1007/978-981-15-6259-4_62⟩. ⟨hal-03685096⟩