| Novel Electric Vehicle Powertrain of Multi-Stack Fuel Cell Using Optimal Energy Management Strategy
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| Byeong Jin Eom , Eom Kiback , Dongho Yang , Minjae Kim |
| Department of Mechanical Engineering, Myongji University |
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| ABSTRACT |
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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. |
| Key Words:
Fuel Cell Electric Vehicle · Multi-stack system · Particle Swarm Optimization · Power Distribution Algorithm · Co-simulation · New powertrain
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Corresponding Author.
Minjae Kim , Email. 
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