Optimal Energy Management Strategy for Repeat Path Operating Fuel Cell Hybrid Tramopen access
- Authors
- Jung, Jaekwang; Kim, Dongeon; Yang, Liyue; Kim, Namwook
- Issue Date
- Apr-2024
- Publisher
- Multidisciplinary Digital Publishing Institute (MDPI)
- Keywords
- energy distribution; ECMS control; rule-based control; fuel cell hybrid system
- Citation
- Energies, v.17, no.7, pp 1 - 12
- Pages
- 12
- Indexed
- SCIE
SCOPUS
- Journal Title
- Energies
- Volume
- 17
- Number
- 7
- Start Page
- 1
- End Page
- 12
- URI
- https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/118857
- DOI
- 10.3390/en17071560
- ISSN
- 1996-1073
1996-1073
- Abstract
- This study focuses on minimizing fuel consumption of a fuel cell hybrid tram, operated with electric power from both the fuel cell stack and the energy storage system, by optimizing energy distribution between distinct energy sources. In the field of fuel cell hybrid system application, dealing with real-world optimal control implementation becomes more important. Some 'online control' strategies optimize energy management by measuring the current battery's state and planning for future cycles. However, its dependence on stochastic processes remains a limitation for adapting 'online control' even when driving in the same way. In order to optimize energy distribution robustly during the tram's repetitive cycle operation, we develop a practical control map with a fuel cell hybrid tram simulation model and conduct energy distribution. The control map is based on a mathematical equivalent consumption minimization strategy (ECMS) equation reflecting the characteristics of the fuel cell stack and electric cells. The comparison of fuel consumption with another practical control strategy optimized for a specific railway cycle shows that the suggested map-based optimal control achieves a reduction in fuel consumption while satisfying a boundary condition.
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Collections - COLLEGE OF ENGINEERING SCIENCES > DEPARTMENT OF MECHANICAL ENGINEERING > 1. Journal Articles
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