An Ultrafast Maximum Power Point Tracking Technique for Optimal Battery Charging

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

doi:10.1109/TSTE.2017.2679161

An Ultrafast Maximum Power Point Tracking Technique for Optimal Battery Charging

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

Research output: Contribution to journal › Article › peer-review

10 Citations (Scopus)

Abstract

In this paper, a new method is proposed for allocating and tracking the optimal charging frequency for sinusoidal chargers. The proposed method is based on tracking the maximum power point of the charging power by autovarying the frequency adaptively in order to get a unity power factor at the battery terminals. The proposed method has a superior performance in terms of convergence speed, ease of implementation, and applicability to different battery types. Details on the proposed method followed by simulation and experimental verification using different types of commercial batteries are presented.

Original language	English
Article number	7873349
Pages (from-to)	1321-1329
Number of pages	9
Journal	IEEE Transactions on Sustainable Energy
Volume	8
Issue number	3
DOIs	https://doi.org/10.1109/TSTE.2017.2679161
Publication status	Published - Jul 2017
Externally published	Yes

Keywords

Battery charger
Li-ion battery
Newton-Raphson
cell model
optimal charging frequency
sinusoidal charging

ASJC Scopus subject areas

Renewable Energy, Sustainability and the Environment

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10.1109/TSTE.2017.2679161

Cite this

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title = "An Ultrafast Maximum Power Point Tracking Technique for Optimal Battery Charging",

abstract = "In this paper, a new method is proposed for allocating and tracking the optimal charging frequency for sinusoidal chargers. The proposed method is based on tracking the maximum power point of the charging power by autovarying the frequency adaptively in order to get a unity power factor at the battery terminals. The proposed method has a superior performance in terms of convergence speed, ease of implementation, and applicability to different battery types. Details on the proposed method followed by simulation and experimental verification using different types of commercial batteries are presented.",

keywords = "Battery charger, Li-ion battery, Newton-Raphson, cell model, optimal charging frequency, sinusoidal charging",

author = "Hussein, {Ala A.} and Fardoun, {Abbas A.} and Stephen, {Samantha S.}",

note = "Funding Information: Manuscript received September 23, 2016; revised January 29, 2017; accepted March 3, 2017. Date of publication March 7, 2017; date of current version June 17, 2017. This work was supported in part by the United Arab Emirates University under Research grant #G00001287. This paper was presented in part at the IEEE Power and Energy Society General Meeting, 2016. Paper no. TSTE-00717-2016. Publisher Copyright: {\textcopyright} 2017 IEEE.",

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language = "English",

volume = "8",

pages = "1321--1329",

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AU - Fardoun, Abbas A.

AU - Stephen, Samantha S.

N1 - Funding Information: Manuscript received September 23, 2016; revised January 29, 2017; accepted March 3, 2017. Date of publication March 7, 2017; date of current version June 17, 2017. This work was supported in part by the United Arab Emirates University under Research grant #G00001287. This paper was presented in part at the IEEE Power and Energy Society General Meeting, 2016. Paper no. TSTE-00717-2016. Publisher Copyright: © 2017 IEEE.

PY - 2017/7

Y1 - 2017/7

N2 - In this paper, a new method is proposed for allocating and tracking the optimal charging frequency for sinusoidal chargers. The proposed method is based on tracking the maximum power point of the charging power by autovarying the frequency adaptively in order to get a unity power factor at the battery terminals. The proposed method has a superior performance in terms of convergence speed, ease of implementation, and applicability to different battery types. Details on the proposed method followed by simulation and experimental verification using different types of commercial batteries are presented.

AB - In this paper, a new method is proposed for allocating and tracking the optimal charging frequency for sinusoidal chargers. The proposed method is based on tracking the maximum power point of the charging power by autovarying the frequency adaptively in order to get a unity power factor at the battery terminals. The proposed method has a superior performance in terms of convergence speed, ease of implementation, and applicability to different battery types. Details on the proposed method followed by simulation and experimental verification using different types of commercial batteries are presented.

KW - Battery charger

KW - Li-ion battery

KW - Newton-Raphson

KW - cell model

KW - optimal charging frequency

KW - sinusoidal charging

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An Ultrafast Maximum Power Point Tracking Technique for Optimal Battery Charging

Abstract

Keywords

ASJC Scopus subject areas

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