Shao, B.; Zhong, J.; Tian, J.; Li, Y.; Chen, X.; Dou, W.; Liao, Q.; Lai, C.; Lu, T.; Xie, J.
State-of-Health Estimation of Lithium-Ion Batteries Based on Electrochemical Impedance Spectroscopy Features and Fusion Interpretable Deep Learning Framework. Energies 2025, 18, 1385.
https://doi.org/10.3390/en18061385
AMA Style
Shao B, Zhong J, Tian J, Li Y, Chen X, Dou W, Liao Q, Lai C, Lu T, Xie J.
State-of-Health Estimation of Lithium-Ion Batteries Based on Electrochemical Impedance Spectroscopy Features and Fusion Interpretable Deep Learning Framework. Energies. 2025; 18(6):1385.
https://doi.org/10.3390/en18061385
Chicago/Turabian Style
Shao, Bohan, Jun Zhong, Jie Tian, Yan Li, Xiyu Chen, Weilin Dou, Qiangqiang Liao, Chunyan Lai, Taolin Lu, and Jingying Xie.
2025. "State-of-Health Estimation of Lithium-Ion Batteries Based on Electrochemical Impedance Spectroscopy Features and Fusion Interpretable Deep Learning Framework" Energies 18, no. 6: 1385.
https://doi.org/10.3390/en18061385
APA Style
Shao, B., Zhong, J., Tian, J., Li, Y., Chen, X., Dou, W., Liao, Q., Lai, C., Lu, T., & Xie, J.
(2025). State-of-Health Estimation of Lithium-Ion Batteries Based on Electrochemical Impedance Spectroscopy Features and Fusion Interpretable Deep Learning Framework. Energies, 18(6), 1385.
https://doi.org/10.3390/en18061385
