25권 2호 201-211 2024 [IJAT]
| 제목 | Novel Electric Vehicle Powertrain of Multi-Stack Fuel Cell Using Optimal Energy Management Strategy |
|---|---|
| 분야 | ADAS, AI, Autonomous Vehicles |
| 언어 | English |
| 저자 | Byeong Jin Eom(Myongji University), Eom Kiback(Myongji University), Dongho Yang( Myongji University), Minjae Kim( Myongji University) |
| Key Words | Fuel Cell Electric Vehicle · Multi-stack system · Particle Swarm Optimization · Power Distribution Algorithm · Co-simulation · New powertrain |
| 초록 |
Fuel Cell Electric Vehicle (FCEV) powertrain layouts and control strategies have historically overlooked the asymmetric energy storage eff ect, despite its signifi cant impact on system effi ciency. In this study, we propose a novel FCEV powertrain layout using dual fuel cells to uncover hidden fuel effi ciency improvement factors in comparison with the conventional Single Fuel Cell System (SFS). To address the issues of low effi ciency operation in SFS and the limitations of existing energy management strategies that hinder high output performance, we present a minimum effi ciency-based power control strategy. Additionally, we implement a partial system operation strategy to optimize effi ciency according to the state of the power sources. This combined approach results in substantial improvements in both hardware and software effi ciency, a possibility that was not previously achievable. Through this research, we demonstrate the potential for enhancing the fuel effi ciency of the multi-stack system, a concept that has not been implemented yet. Moreover, we propose a new direction for the architectural design of FCEVs that overcomes the limitations of the SFS, thereby addressing potential malfunctions. |
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