Direct Model Predictive Control of Fuel Cell and Ultra-Capacitor Based Hybrid Electric Vehicle

Autor: Farrukh Zain Ul Abideen, Hassan Abdullah Khalid, Muhammad Saud Khan, Habibur Rehman, Ammar Hasan
Jazyk: angličtina
Rok vydání: 2024
Předmět:
Zdroj: IEEE Access, Vol 12, Pp 46774-46784 (2024)
Druh dokumentu: article
ISSN: 2169-3536
DOI: 10.1109/ACCESS.2024.3381219
Popis: Considering climate change, hybrid electric vehicles (HEVs) provide a clean alternative for transportation. This study presents an HEV with a fuel cell and ultra-capacitor connected in a parallel-type configuration. Direct model predictive control is used to optimize the power flow between the energy sources and the motor. Notably, the proposed controller uses a global approach, i.e., a single controller for the regulation of both power converters, thereby enhancing overall performance. Furthermore, the controller design leverages a non-averaged state space model that explicitly incorporates the switching nature of the converters. A method for computing reference currents for the fuel cell and ultra-capacitor is also introduced, which utilizes the ultra-capacitor current to manage power demand transients. Simulation results show that the proposed technique produces better results in terms of overshoot, steady-state error, and response time compared to recent studies in the literature.
Databáze: Directory of Open Access Journals