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Prediction of Ageing Effects on Lithium-Ion Battery for Electric Vehicles

descriptionPublicationkeyboard_double_arrow_right Conference object , Other literature type 01 May 2020 Italy Publisher:IEEEJournal:2020 ELEKTRO

Authors: Francesco Sergi; S. De Caro; Antonio Testa; G. Napoli; D. Aloisio; S. Foti; L. Andaloro; +1 Authors

doi: 10.1109/elektro49696.2020.9130363

Prediction of Ageing Effects on Lithium-Ion Battery for Electric Vehicles

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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
National Research Council
Italy
Institute for Advanced Energy Technologies
Italy
University of Messina
Italy

Keywords

Lifespan prediction, Li-ion batteries, Electric Vehicles

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	2
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Top 10%
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average