An LSTM-PINN Hybrid Method to Estimate Lithium-Ion Battery Pack Temperature

An LSTM-PINN Hybrid Method to Estimate Lithium-Ion Battery Pack Temperature

Physics-based models for battery temperature prediction are often not suitable for online applications due to the large number of fitted parameters, low fidelity results from parameter inaccuracy and unaccounted model dynamics, limited high quality experimental data, and slow convergence of predicti...

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Bibliographic Details
Main Authors: Gyouho Cho, Di Zhu, Jeffrey Joseph Campbell, Mengqi Wang
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Long short-term memory
physics-informed neural network
lithium-ion battery
battery temperature
temperature prediction
Online Access:https://ieeexplore.ieee.org/document/9895422/

Internet

https://ieeexplore.ieee.org/document/9895422/

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