Oral Presentation , Page 245-250 (6)

Volume Title: 2nd IEEE International Conference on Electronic Eng., Faculty of Electronic Eng., Menouf, Egypt, 3-4 July. 2021

¹walaa mohamed shuaib ; ²Sameh Abd-Elhaleem; ³Abdel Azim sopeh

¹automatic control& industrial electronics, faculty of electronic engineering, menouf, menoufia. Egypt

²Department of Industrial Electronics and Control Engineering, Faculty of Electronic Engineering, Menoufia University, Menouf , Egypt

³automatic control&industerial electronics, faculty of electronic engineering, menouf, menoufia. Egypt

— Reducing energy consumption and preserving the environment are the main aims for searching for the development of electric vehicles (EVs). The long charging time and short driving distance are considered two serious issues in EVs. Hence, a plug-in fuel cell hybrid electric vehicle (PFCHEV) is a type of hybrid electric vehicle (HEVs) uses a fuel cell tank instead of an internal consumption engine. In PFCHEV, a fuel cell and a Li-ion storage battery are the main power sources. To raise the efficiency of saving power in the HEVs, an artificial adaptive neuro-fuzzy controller (AANFC) technique is presented to manage and split power among the two power sources to reduce the cost function. In addition to, AANFC decreases the error between the required and the actual torque and can face any disturbance as changing the road's slope. The presented strategy increases the lifetime of the Li-ion battery and the performance of the vehicle. Simulation results illustrate the implementation of AANFC. Scheme for the PIFCHEV management power system using Matlab/Simulink.

Energy Management; PFCHEV; Lithium-ion Batteries; Fuel Cell; Neuro-Fuzzy; Hybrid Vehicles