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Review Article

A Review of State of Health Estimation of Energy Storage Systems: Challenges and Possible Solutions for Futuristic Applications of Li-Ion Battery Packs in Electric Vehicles

[+] Author and Article Information
Sudipta Bijoy Sarmah, Dipanwita Bhattacharjee

Centre for Energy,
Indian Institute of Technology Guwahati,
Guwahati 781039, Assam, India

Pankaj Kalita

Centre for Energy,
Indian Institute of Technology Guwahati,
Guwahati 781039, Assam, India
e-mail: pankajk@iitg.ernet.in

Akhil Garg

Intelligent Manufacturing Key Laboratory of Ministry of Education,
Shantou University,
Shantou 515063, China
e-mail: akhil@stu.edu.cn

Xiao-dong Niu

Intelligent Manufacturing Key Laboratory of Ministry of Education,
Shantou University,
Shantou 515063, China
e-mail: xdniu@stu.edu.cn

Xing-Wei Zhang

Intelligent Manufacturing Key Laboratory of Ministry of Education,
Shantou University,
Shantou 515063, China
e-mail: zhangxw@stu.edu.cn

Xiongbin Peng

Intelligent Manufacturing Key Laboratory of Ministry of Education,
Shantou University,
Shantou 515063, China
e-mail: xbpeng@stu.edu.cn

1Corresponding author.

Manuscript received December 13, 2018; final manuscript received February 22, 2019; published online March 25, 2019. Assoc. Editor: Corey T. Love.

J. Electrochem. En. Conv. Stor. 16(4), 040801 (Mar 25, 2019) (12 pages) Paper No: JEECS-18-1130; doi: 10.1115/1.4042987 History: Received December 13, 2018; Accepted February 23, 2019

Lithium-ion (Li-ion) battery pack is vital for storage of energy produced from different sources and has been extensively used for various applications such as electric vehicles (EVs), watches, cookers, etc. For an efficient real-time monitoring and fault diagnosis of battery operated systems, it is important to have a quantified information on the state-of-health (SoH) of batteries. This paper conducts comprehensive literature studies on advancement, challenges, concerns, and futuristic aspects of models and methods for SoH estimation of batteries. Based on the studies, the methods and models for SoH estimation have been summarized systematically with their advantages and disadvantages in tabular format. The prime emphasis of this review was attributed toward the development of a hybridized method which computes SoH of batteries accurately in real-time and takes self-discharge into its account. At the end, the summary of research findings and the future directions of research such as nondestructive tests (NDT) for real-time estimation of battery SoH, finding residual SoH for the recycled batteries from battery packs, integration of mechanical aspects of battery with temperature, easy assembling–dissembling of battery packs, and hybridization of battery packs with photovoltaic and super capacitor are discussed.

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Figures

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Fig. 1

Growth of the battery electric vehicle

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Fig. 2

Leading countries with electric vehicle adoption

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Fig. 3

Lithium-ion battery lifecycle versus temperature diagram

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Fig. 4

Classification of battery modeling

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Fig. 5

Scope of research directions in the future

Tables

Errata

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