Estimating Battery Temperature in Dynamic Driving Conditions Using Physics Informed Neural Networks
Author:
Affiliation:
1. Indian Institute of Technology (ISM) Dhanbad,Department of Mechanical Engineering,Jharkhand,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10149892/10149896/10150156.pdf?arnumber=10150156
Reference17 articles.
1. Fundamentals of Heat and Mass Transfer;bergman,2010
2. Physics-Informed Neural Networks for Heat Transfer Problems
3. Analysis of the heat generation of lithium-ion battery during charging and discharging considering different influencing factors
4. Thermal modeling of a cylindrical LiFePO4/graphite lithium-ion battery
5. A Physics-Informed Machine Learning Approach for Estimating Lithium-Ion Battery Temperature
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1. Enhancing BEV Energy Management: Neural Network-Based System Identification for Thermal Control Strategies;SAE Technical Paper Series;2024-07-02
2. DNN‐based temperature prediction of large‐scale battery pack;Electronics Letters;2023-08
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