Temperature state prediction for lithium-ion batteries based on improved physics informed neural networks
Published in Journal of Energy Storage (IF=8.9), 2023
Recommended citation: Wang, Y., Xiong, C., Wang, Y., Xu, P., Ju, C., Shi, J., ... & Chu, J. (2023). Temperature state prediction for lithium-ion batteries based on improved physics informed neural networks. Journal of Energy Storage, 73, 108863.
Yuchen Wang, Can Xiong, Yiming Wang, Po Xu, Changjiang Ju, Jianghao Shi, Genke Yang, and Jian Chu.
[Project Link] (https://www.sciencedirect.com/science/article/abs/pii/S2352152X23022600)