Temperature prediction of lithium-ion battery based on artificial neural network model-Reference-Cited by-同舟云学术

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Temperature prediction of lithium-ion battery based on artificial neural network model

Published:2023-06 Issue: Volume:228 Page:120482
ISSN:1359-4311
Container-title:Applied Thermal Engineering
language:en
Short-container-title:Applied Thermal Engineering

Author:

Wang Yuanlong,Chen Xiongjie,Li Chaoliang,Yu Yi,Zhou Guan,Wang ChunYan,Zhao Wanzhong

Funder

Natural Science Foundation of Jiangsu Province

Fundamental Research Funds for the Central Universities

National Natural Science Foundation of China National Outstanding Youth Science Fund Project

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Energy Engineering and Power Technology,Fluid Flow and Transfer Processes,Mechanical Engineering

Reference51 articles.

1. Temperature effect and thermal impact in lithium-ion batteries: A review;Ma;J Progr. Nat. Sci.: Mater. Int.,2018

2. Thermal issues about Li-ion batteries and recent progress in battery thermal management systems: a review;Liu;J. Energy Convers. Manage.,2017

3. Battery thermal management system with liquid cooling and heating in electric vehicles;Yuan;J. Automot. Safety Energy,2012

4. Experimental investigation on using the electric vehicle air conditioning system for lithium-ion battery thermal management;Cen;J. Energy Sustain. Dev.,2018

5. Experimental study on the influence of temperature and state-of charge on the thermophysical properties of an LFP pouch cell;Bazinski;J. Power Sources,2015

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