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State of the Art and Future Research Needs for Multiscale Analysis of Li-Ion Cells
Author(s) -
Krishna Shah,
Nitash P. Balsara,
Soumik Banerjee,
Mahati Chintapalli,
Alex P. Cocco,
Wilson K. S. Chiu,
Indranil Lahiri,
Surendra K. Martha,
Aashutosh Mistry,
Partha P. Mukherjee,
Venkatasailanathan Ramadesigan,
Chandra Shekhar Sharma,
Venkat R. Subramanian,
Sagar Mitra,
Ankur Jain
Publication year - 2017
Publication title -
journal of electrochemical energy conversion and storage
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.377
H-Index - 13
eISSN - 2381-6910
pISSN - 2381-6872
DOI - 10.1115/1.4036456
Subject(s) - multiphysics , variety (cybernetics) , reliability (semiconductor) , state (computer science) , battery (electricity) , set (abstract data type) , ion , computer science , systems engineering , nanotechnology , engineering physics , data science , materials science , engineering , physics , artificial intelligence , finite element method , algorithm , thermodynamics , power (physics) , programming language , quantum mechanics
The performance, safety, and reliability of Li-ion batteries are determined by a complex set of multiphysics, multiscale phenomena that must be holistically studied and optimized. This paper provides a summary of the state of the art in a variety of research fields related to Li-ion battery materials, processes, and systems. The material presented here is based on a series of discussions at a recently concluded bilateral workshop in which researchers and students from India and the U.S. participated. It is expected that this summary will help understand the complex nature of Li-ion batteries and help highlight the critical directions for future research

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