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. https://www.sciencedirect.com/science/article/abs/pii/S2352152X23022600
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)