
Found an issue? Give us feedback
IRIS - Università degli Studi di Catania
Conference object . 2020
Data sources: IRIS - Università degli Studi di Catania
https://doi.org/10.1109/elektr...
Conference object . 2020 . Peer-reviewed
License: IEEE Copyright
Data sources: Crossref
Archivio Istituzionale della Ricerca- Università degli Studi di Messina
Conference object . 2020
Please grant OpenAIRE to access and update your ORCID works.
This Research product is the result of merged Research products in OpenAIRE.
You have already added 0 works in your ORCID record related to the merged Research product.
You have already added 0 works in your ORCID record related to the merged Research product.
This Research product is the result of merged Research products in OpenAIRE.
You have already added 0 works in your ORCID record related to the merged Research product.
You have already added 0 works in your ORCID record related to the merged Research product.
Prediction of Ageing Effects on Lithium-Ion Battery for Electric Vehicles
S. Micari; S. Foti; A. Testa; S. De Caro; F. Sergi; L. Andaloro; D. Aloisio; G. Napoli;
handle: 11570/3172940 , 20.500.11769/647929
Abstract
The development of Lithium-ion batteries for electric vehicles have recently become the subject of large research efforts due to some remarkable advantages over other kinds of batteries, such as: high energy density, high power density, long cycle life and long calendar life. This paper is aimed to develop an ageing model suitable to estimate the battery lifetime, the residual capacity and reliability margins under different driving cycles, taking also into account the battery calendar ageing
Country
Italy
Related Organizations
- University of Messina Italy
- Institute for Advanced Energy Technologies Italy
- University of Messina Italy
- National Research Council Italy
- University of Catania Italy
Keywords
Lifespan prediction, Li-ion batteries, Electric Vehicles
Lifespan prediction, Li-ion batteries, Electric Vehicles

Found an issue? Give us feedback