Machine learning for predicting fuel cell and battery polarisation and charge–discharge curves
Predictions of whole polarisation or charge–discharge curves for fuel cells and batteries using machine learning has rarely been explored, despite the now vast efforts to apply such methods to the analysis of these technologies. The aforementioned curves contain vital signatures of performance and d...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2022-11-01
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| Series: | Energy Reports |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352484722007466 |