Experimental Design and Maintenance, Towards a Decision-Making Approach Driven by Degradation Models, with Application to Lithium-Ion Batteries-Reference-Cited by-同舟云学术

Experimental Design and Maintenance, Towards a Decision-Making Approach Driven by Degradation Models, with Application to Lithium-Ion Batteries

Published:2023-10-25 Issue: Volume: Page:395-400
ISSN:
Container-title:2023 IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE)
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Author:

Pievatolo Antonio¹^ORCID,Magrini Alessandro²^ORCID,Meccariello Giovanni³^ORCID,Cristaldi Loredana⁴^ORCID,Patrizi Gabriele⁵^ORCID,Nikiforova Nedka D.²^ORCID

Affiliation:

1. Institute for Applied Mathematics and Information Technologies “E. Magenes”,National Research Council,Milan,Italy

2. University of Florence,Department of Statistics, Computer Science, Applications “G. Parenti”,Florence,Italy

3. Institute of Sciences and Technologies for Energy and Sustainable Mobility,National Research Council,Naples,Italy

4. Polytechnic of Milan,Department of Electronics Information and Bioengineering,Milan,Italy

5. University of Florence,Department of Information Engineering,Florence,Italy

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10405419/10405547/10405766.pdf?arnumber=10405766

Reference29 articles.

1. Data-driven prediction of battery cycle life before capacity degradation

2. Battery Lifetime Prognostics

3. Validation of RUL estimation method for battery prognostic under different fast-charging conditions

4. Mathematical Modeling of Lithium Iron Phosphate Electrode: Galvanostatic Charge/Discharge and Path Dependence

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