Fast computational framework for optimal life management of lithium ion batteries-Reference-Cited by-同舟云学术

Fast computational framework for optimal life management of lithium ion batteries

Published:2018-01-23 Issue:5 Volume:42 Page:1973-1982
ISSN:0363-907X
Container-title:International Journal of Energy Research
language:en
Short-container-title:Int J Energy Res

Author:

Mandli Aravinda R.¹^ORCID,Ramachandran Sanoop¹,Khandelwal Ashish¹,Kim Ki Young²,Hariharan Krishnan S.¹

Affiliation:

1. Computational Simulations Group; Samsung R&D Institute India; Bangalore, #2870, Phoenix Building, Bagmane Constellation Business Park, Outer ring road, Doddanekundi circle, Marathahalli Post Bangalore 560037 India

2. Power Management Lab; DMC R&D Center, Samsung Electronics Corporation; Seoul 06765 South Korea

Publisher

Wiley

Subject

Energy Engineering and Power Technology,Fuel Technology,Nuclear Energy and Engineering,Renewable Energy, Sustainability and the Environment

Reference51 articles.

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4. Factors that affect cycle-life and possible degradation mechanisms of a Li-ion cell based on LiCoO2;Choi;J Power Sources,2002

5. Degradation mechanisms in Li-ion batteries: a state-of-the-art review;Kabir;Int J Energy Res,2017

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