Prognostic for fuel cell based on particle filter and recurrent neural network fusion structure
Fuel cells are considered as one of the most promising candidates for future power source due to its high energy density and environmentally friendly properties, whereas the short lifespan blocks its large-scale commercialization. In order to enhance the reliability and durability of proton exchange...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2020-11-01
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| Series: | Energy and AI |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2666546820300173 |