Internal temperature prediction of ternary polymer lithium‐ion battery pack based on CNN and virtual thermal sensor technology-Reference-Cited by-同舟云学术

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Internal temperature prediction of ternary polymer lithium‐ion battery pack based on CNN and virtual thermal sensor technology

Published:2021-03-31 Issue:9 Volume:45 Page:13681-13691
ISSN:0363-907X
Container-title:International Journal of Energy Research
language:en
Short-container-title:Int J Energy Res

Author:

Wang Mengyi¹^ORCID,Hu Weifeng¹,Jiang Yanfang²,Su Fang²,Fang Zheng¹^ORCID

Affiliation:

1. School of Aerospace Engineering Xiamen University Xiamen China

2. Xiamen Yudian Automation Technology Co., Ltd. Xiamen China

Funder

China Scholarship Council

National Natural Science Foundation of China

Publisher

Wiley

Subject

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

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/er.6699

Reference39 articles.

1. Characterization of LiFePO4 as the cathode material for rechargeable lithium batteries

2. Multiscale modelling and numerical simulation of rechargeable lithium ion batteries: concepts, methods and challenges

3. A review on the key issues for lithium-ion battery management in electric vehicles

4. Charging Pattern Optimization for Lithium-Ion Batteries With an Electrothermal-Aging Model

5. Numerical study on sensitivity analysis of factors influencing liquid cooling with double cold‐plate for lithium‐ion pouch cell

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3. Battery Temperature Prediction Using an Adaptive Neuro-Fuzzy Inference System;Batteries;2024-03-01

4. Two-phase early prediction method for remaining useful life of lithium-ion batteries based on a neural network and Gaussian process regression;Frontiers in Energy;2023-11-20

5. Batteries temperature prediction and thermal management using machine learning: An overview;Energy Reports;2023-11

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