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Cited by 222

The DOI matches its Crossref record.

Lithium-ion batteries life estimation for plug-in hybrid electric vehicles

Marano, V., Onori, S., Guezennec, Y., Rizzoni, G., Madella, N.·2009·2009 IEEE Vehicle Power and Propulsion Conference
DOI 10.1109/vppc.2009.5289803
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Abstract

This paper deals with life estimation of lithium batteries for plug-in hybrid electric vehicles (PHEVs). An aging model, based on the concept of accumulated charge throughput, has been developed to estimate battery life under ldquoreal worldrdquo driving cycles (custom driving cycles based on driving statistics). The objective is to determine the ldquodamagerdquo on the life related to each driving pattern to determine equivalent miles/years. Results indicates that Lithium-ion batteries appear to be 10 year/150,000 mile capable, provided that they are not overcharged, nor consistently operated at high temperatures, nor in charge sustaining mode at a very low state of charge.

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Metadata

Authors
Marano, V., Onori, S., Guezennec, Y., Rizzoni, G., & Madella, N.
Venue
2009 IEEE Vehicle Power and Propulsion Conference
Publisher
IEEE
Published
2009-09
Pages
536-543
DOI
10.1109/vppc.2009.5289803
OpenAlex
W2150750891
Cited by
222
References
0
FWCI
10.53
Type
conference paper
Language
en
Open access
closed

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CoChat. (2026). Citation check: Lithium-ion batteries life estimation for plug-in hybrid electric vehicles. https://app.cochat.ai/papers/10.1109/vppc.2009.5289803
The paper
Marano, V., Onori, S., Guezennec, Y., Rizzoni, G., & Madella, N. (2009). Lithium-ion batteries life estimation for plug-in hybrid electric vehicles. 2009 IEEE Vehicle Power and Propulsion Conference. https://doi.org/10.1109/vppc.2009.5289803

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.