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Electronics Letters
Article . 2017 . Peer-reviewed
License: Wiley Online Library User Agreement
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Data‐driven battery degradation model leveraging average degradation function fitting

Authors: K. Kim; Y. Choi; H. Kim;

Data‐driven battery degradation model leveraging average degradation function fitting

Abstract

When the batteries of electrical vehicles are used to provide vehicle‐to‐grid (V2G) ancillary service, battery life is shortened due to additional battery usage. To consider battery degradation, cycle life‐based approach with degradation density function (DDF) is popular. However, the previous modelling cannot capture the well‐known fact that battery may severely degrade at both ends of battery, i.e. when full or empty. A novel method of obtaining DDF using the curve fitting over average degradation function is proposed. The proposed method tightly fits the empirical measurements and thus provides a better way of operating V2G considering battery degradation. The results show that the proposed method reduces battery degradation by up to 28.9% while achieving the same revenue.

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selected citations
These citations are derived from selected sources.
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).
BIP!Citations provided by BIP!
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.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
23
Top 10%
Top 10%
Top 10%
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