Liu, G.; Deng, Z.; Xu, Y.; Lai, L.; Gong, G.; Tong, L.; Zhang, H.; Li, Y.; Gong, M.; Yan, M.;
et al. Lithium-Ion Battery State of Health Estimation Based on CNN-LSTM-Attention-FVIM Algorithm and Fusion of Multiple Health Features. Appl. Sci. 2025, 15, 7555.
https://doi.org/10.3390/app15137555
AMA Style
Liu G, Deng Z, Xu Y, Lai L, Gong G, Tong L, Zhang H, Li Y, Gong M, Yan M,
et al. Lithium-Ion Battery State of Health Estimation Based on CNN-LSTM-Attention-FVIM Algorithm and Fusion of Multiple Health Features. Applied Sciences. 2025; 15(13):7555.
https://doi.org/10.3390/app15137555
Chicago/Turabian Style
Liu, Guoju, Zhihui Deng, Yonghong Xu, Lianfeng Lai, Guoqing Gong, Liang Tong, Hongguang Zhang, Yiyang Li, Minghui Gong, Mengxiang Yan,
and et al. 2025. "Lithium-Ion Battery State of Health Estimation Based on CNN-LSTM-Attention-FVIM Algorithm and Fusion of Multiple Health Features" Applied Sciences 15, no. 13: 7555.
https://doi.org/10.3390/app15137555
APA Style
Liu, G., Deng, Z., Xu, Y., Lai, L., Gong, G., Tong, L., Zhang, H., Li, Y., Gong, M., Yan, M., & Ye, Z.
(2025). Lithium-Ion Battery State of Health Estimation Based on CNN-LSTM-Attention-FVIM Algorithm and Fusion of Multiple Health Features. Applied Sciences, 15(13), 7555.
https://doi.org/10.3390/app15137555