Energy Management Strategy of Dual-Source Electric Vehicles Based on Fuzzy Logic Control Considering Driving Cycles
Khoudir Kakouche, Adel Oubelaid, Smaïl Mezani, Toufik Rekioua, Mohit Bajaj, Francisco Jurado, Salah Kamel
Abstract
In the electric vehicle power systems, the energy management strategy (EMS) is very important to improve the vehicle’s energy consumption. The purpose of this paper is to propose an EMS to effectively regulate the energy flow from the energy sources, minimize the fuel consumption, and ensure the propulsion power of the vehicle under complex driving conditions. The proposed EMS is based on fuzzy logic control (FLC), which generates the reference power of the PEM fuel cell for each level of Li-ion battery state of charge and the required vehicle power. Three standard driving cycles, namely the New York City cycle (NYCC), the Worldwide Harmonized Light Vehicles Test Procedure (WLTP), and the Urban Dynamometer Driving Schedule (UDDS), were implemented to validate the proposed EMS. The results show that the overall system performs well, where the proposed fuzzy logic allowing for efficient energy distribution between the PEM fuel cell, Li-ion battery and the traction system with different types of driving cycles.