| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 7725929 | Journal of Power Sources | 2018 | 11 Pages |
Abstract
This paper proposes a novel methodology to model these issues, with predictive capabilities to estimate the remaining charge in a battery after several solar cycles. A new non-linear state space model is proposed as a basis, and the methodology to feed and train the model is introduced. The new methodology is validated using experimental data, providing only 5% of error at higher temperatures than the nominal one.
Keywords
Related Topics
Physical Sciences and Engineering
Chemistry
Electrochemistry
Authors
Iván Sanz-Gorrachategui, Carlos Bernal, Estanis Oyarbide, Erik Garayalde, Iosu Aizpuru, Jose MarÃa Canales, Antonio Bono-Nuez,
