SNUEI

Integrated modeling and multi-objective optimization of a PEMFC thermal management system for a fuel cell electric bus

2026 · Applied Thermal Engineering

저자

Yebeen Kim, 강상규 (Sanggyu Kang), Kyoungdoug Min

연구주제

Fuel Cells and Related Materials · Heat Transfer and Optimization · Electric and Hybrid Vehicle Technologies

NTIS 과학기술표준분류

에너지/자원만에너지·환경·원자력 확장

에너지/자원 > 신재생에너지 > 연료전지에너지 외

배정 근거: AI 키워드가 잡은 NTIS 과제의 분류(정책 연계 맵과 같은 방법).

AI 연구 키워드·방법

fuel cell electric bus fuel cell thermal management system 고분자 전해질막 연료전지(PEMFC)

수치 시뮬레이션 최적화

키워드 (OpenAlex)

proton exchange membrane fuel cells thermal control system multi-objective optimization particle swarm optimization entropy production stack temperature parasitic power sensitivity analysis

초록

A proton exchange membrane fuel cell (PEMFC) is the main power source of fuel cell electric buses (FCEBs), and its stable operation is critically dependent on thermal management system (TMS) performance. This study develops an integrated PEMFC–TMS model that includes the coolant pump, fin–tube radiator, heat exchangers, and fuel cell stack, enabling system-level evaluation of thermal and hydraulic behavior. Radiator performance was examined at the component level using the heat transfer search (HTS) and particle swarm optimization (PSO) algorithms, with four objectives: effectiveness, total annualized cost, total weight, and entropy generation. The optimization captured trade-offs among these objectives, and HTS demonstrated superior optimization performance compared to PSO. The optimization framework was then extended from component-level to system-level analysis, where radiator geometr…

이 논문을 지원한 국가R&D 과제 (NTIS 성과)

NTIS 성과DB(2020–24)에서 DOI 매칭 없음

인접 그래프

노드 hover = 이웃 강조 · 1회 클릭 = 고정 · 고정된 노드 다시 클릭 = 페이지 이동

이 문서와 연결된 페이지

교수 1

강상규

연구주제 1

Fuel Cells and Related Materials

정책분야 1

신재생에너지

키워드 1

고분자 전해질막 연료전지(PEMFC)

방법 2

최적화 · 수치 시뮬레이션