A unified modeling framework for lithium-ion batteries: An artificial neural network based thermal coupled equivalent circuit model approach-Reference-Cited by-同舟云学术

A unified modeling framework for lithium-ion batteries: An artificial neural network based thermal coupled equivalent circuit model approach

Published:2017-11 Issue: Volume:138 Page:118-132
ISSN:0360-5442
Container-title:Energy
language:en
Short-container-title:Energy

Author:

Wang Qian-Kun,He Yi-Jun,Shen Jia-Ni,Ma Zi-Feng,Zhong Guo-Bin

Funder

National Key R&D Program of China

Major State Basic Research Development Program of China

National Natural Science Foundation of China

Science and Technology Commission of Shanghai Municipality

SRF

Publisher

Elsevier BV

Subject

General Energy,Pollution,Mechanical Engineering,Building and Construction,Electrical and Electronic Engineering,Industrial and Manufacturing Engineering,Civil and Structural Engineering

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4. System identification and estimation framework for pivotal automotive battery management system characteristics;Pattipati;IEEE Trans Syst Man Cybern C Appl Rev,2011

5. 3D thermal runaway propagation model for a large format lithium ion battery module;Feng;Energy,2016

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