확률 기반 ECMS를 적용한 FCEV 에너지 관리

초록

With the tightening of international carbon emission regulations, the Energy Management Strategy (EMS) for Fuel Cell Electric Vehicles (FCEV) has become increasingly important. Conventional ECMS approaches exhibit limited adaptability to driving pattern variations, rely on designer-dependent parameter tuning, and provide insufficient real-time state-of-charge (SOC) feedback. This study applies an improved probability-based ECMS (P-ECMS) to enhance adaptability and control stability in response to these issues. Development and evaluation of a mid-size passenger FCEV model were carried out using the NEDC and UDDS driving cycles. The proposed P-ECMS achieves a 6.6 % reduction in fuel consumption compared with rule-based control and a 1.1 % reduction compared with conventional ECMS, while maintaining improved SOC regulation performance. In addition, when evaluated on the UDDS driving cycle, it demonstrates the lowest equivalent hydrogen consumption among the compared strategies.

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