Benchmarking core temperature forecasting for lithium-ion battery using typical recurrent neural networks

X Zhang, H Xiang, X Xiong, Y Wang, Z Chen - Applied Thermal Engineering, 2024 - Elsevier
One of the factors hindering the scaled application of lithium-ion batteries is their thermal
safety issues. Real-time monitoring of core temperature holds promise in alleviating this …

[PDF][PDF] A recurrent neural networks approach for estimating the core temperature in lithium-ion batteries

O Ojo, X Lin, H Lang, Y Kim - Proc. Can. Soc. Mech. Eng. Int. Congr., 2020 - academia.edu
The safety and reliability of Lithium-ion batteries are increasingly critical, especially as more
products on the market are powered by them. The core temperature of batteries is one of the …

A Sequential Network-model Alliance Module for Lithium-ion Battery Temperature Prediction

M Li, C Dong, X Li, X Dong, Y Mu… - 2022 IEEE Energy …, 2022 - ieeexplore.ieee.org
The lithium-ion battery is an important energy storage means, so the monitoring of its state is
very important. In particular, temperature variations of lithium-ion batteries seriously affect …

Incorporating Uncertainty and Reliability for Battery Temperature Prediction using Machine Learning Methods

P Sachan, P Bharadwaj - … of Emerging and Selected Topics in …, 2023 - ieeexplore.ieee.org
Temperature prediction of lithium-ion batteries is essential to prevent aging and degradation
of batteries while ensuring safe and reliable operation. The use of simple machine learning …

Hybrid electrical circuit model and deep learning-based core temperature estimation of lithium-ion battery cell

S Surya, A Samanta, V Marcis… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Aiming to improve the reliability and durability of lithium-ion battery (LIB) systems, a hybrid
electrical circuit model (ECM) and two-dimensional grid long short-term memory (2-D …

Real-time core temperature prediction of prismatic automotive lithium-ion battery cells based on artificial neural networks

J Kleiner, M Stuckenberger, L Komsiyska… - Journal of Energy …, 2021 - Elsevier
For modeling of the non-linear heat generation and thermal effects in Li-ion batteries,
artificial neural networks are a great solution to represent the thermal behavior for the battery …

Temperature state prediction for lithium-ion batteries based on improved physics informed neural networks

Y Wang, C Xiong, Y Wang, P Xu, C Ju, J Shi… - Journal of Energy …, 2023 - Elsevier
Heat generation significantly influences the performance of lithium-ion batteries and also
hinders the application of them. Precise prediction of battery temperature can offer …

DNN‐based temperature prediction of large‐scale battery pack

J Kim, R Ha - Electronics Letters, 2023 - Wiley Online Library
Temperature monitoring is critical for estimating the available capacity of Lithium‐ion
batteries. In electric vehicle applications using large‐scale battery packs, monitoring …

An LSTM-PINN hybrid method to estimate lithium-ion battery pack temperature

G Cho, D Zhu, JJ Campbell, M Wang - Ieee Access, 2022 - ieeexplore.ieee.org
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 …

Application of deep neural networks for lithium-ion battery surface temperature estimation under driving and fast charge conditions

M Naguib, P Kollmeyer, A Emadi - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The temperature of lithium-ion batteries (LIBs) is a critical factor that significantly impacts the
performance of the battery. One of the essential roles of the battery management system …