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Study on the Optimal Charging Method for Lithium-Ion Batteries Used in Electric Vehicles

descriptionPublicationkeyboard_double_arrow_right Article , Journal 01 Jun 2016Publisher:Elsevier BVJournal:Energy Procedia, volume 88, pages 1,013-1,017 (issn: 1876-6102, Copyright policy )
Authors: Yupu Wang; Yinan Rong; Zhifu Wang; Lin Fantao; Zhi Li;

doi: 10.1016/j.egypro.2016.06.127

Study on the Optimal Charging Method for Lithium-Ion Batteries Used in Electric Vehicles

Abstract

AbstractThis paper aims to propose a novel charging method for the lithium-ion batteries with negative pulse charging theory. Firstly the second order Thevenin model was built to analyze the internal parameters of the battery. And the characteristics of polarization voltage were also discussed. The charging method was studied and the experiment result showed that the charging state of the battery can be improved by using this method.

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Keywords

charging method, Electric vehicles, negative pulse charging theory, lithium-ion battery

  • BIP!
    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).
    		 16
    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).
    		 Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    		 Top 10%
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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).
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!
16
Top 10%
Top 10%
Top 10%
gold
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