Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4942670 | Engineering Applications of Artificial Intelligence | 2017 | 11 Pages |
Abstract
The main aim of the proposed models is to estimate different health parameters of rechargeable batteries for automotive use. For this practical application, FMWMs are shown to improve a selection of models with a varying degree of embedded domain knowledge, ranging from first-principles models to universal approximators.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Luciano Sánchez, Inés Couso, Cecilio Blanco,