Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
8954966 | Journal of Power Sources | 2018 | 17 Pages |
Abstract
The present study aims at reviewing, classifying and comparing the different self-adaptive Li-ion battery ageing models proposed in the literature. Firstly, the different characteristics influencing the ability of a model to update itself are identified, and a classification is proposed for self-adaptive Li-ion battery ageing modelling methods. Secondly, specific criteria are defined to assess and compare the accuracy and computational cost of the different models, enabling a selection of the most suitable ones. Finally, relevant conclusions are drawn considering the key features required to achieve effective ageing predictions, and concise recommendations are suggested for future self-adaptive Li-ion battery ageing model development.
Keywords
Related Topics
Physical Sciences and Engineering
Chemistry
Electrochemistry
Authors
M. Lucu, E. Martinez-Laserna, I. Gandiaga, H. Camblong,