A maximum power point tracking technique for optimal Li-ion battery charging

Ala A. Hussein, Abbas A. Fardoun, Samantha S. Stephen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

Sinusoidal chargers use a DC-shifted sinusoidal current profile to charge the battery at a frequency at which the battery's AC impedance is minimum. In this paper, a new method is proposed for allocating and tracking the optimal charging frequency in real-time for lithium-ion (Li-ion) batteries for sinusoidal chargers. The proposed method is based on tracking the maximum power point of the charging power by auto-varying the charging frequency in order to get almost a unity battery input power factor. A high battery power factor means that the real power used for charging is large, which means that the impedance is almost purely resistive, while a low battery power factor means that the real power used for charging is low due to the high input impedance of the battery. Details on the proposed method followed with simulation results and experimental verification on a 3.8V, 2600mAh Samsung Li-ion battery cell are presented.

Original languageEnglish
Title of host publication2016 IEEE Power and Energy Society General Meeting, PESGM 2016
PublisherIEEE Computer Society
ISBN (Electronic)9781509041688
DOIs
Publication statusPublished - Nov 10 2016
Event2016 IEEE Power and Energy Society General Meeting, PESGM 2016 - Boston, United States
Duration: Jul 17 2016Jul 21 2016

Publication series

NameIEEE Power and Energy Society General Meeting
Volume2016-November
ISSN (Print)1944-9925
ISSN (Electronic)1944-9933

Other

Other2016 IEEE Power and Energy Society General Meeting, PESGM 2016
Country/TerritoryUnited States
CityBoston
Period7/17/167/21/16

Keywords

  • Battery charger
  • Li-ion battery
  • Power factor
  • Resonant frequency
  • Sinusoidal charging

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Nuclear Energy and Engineering
  • Renewable Energy, Sustainability and the Environment
  • Electrical and Electronic Engineering

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