Zhao, Z.; Dai, Y.; Li, K.; Zhang, Z.; Fang, Y.; Chen, B.; Zhao, Q.
Estimation of Lithium Battery State of Health Using Hybrid Deep Learning with Multi-Step Feature Engineering and Optimization Algorithm Integration. Energies 2025, 18, 5849.
https://doi.org/10.3390/en18215849
AMA Style
Zhao Z, Dai Y, Li K, Zhang Z, Fang Y, Chen B, Zhao Q.
Estimation of Lithium Battery State of Health Using Hybrid Deep Learning with Multi-Step Feature Engineering and Optimization Algorithm Integration. Energies. 2025; 18(21):5849.
https://doi.org/10.3390/en18215849
Chicago/Turabian Style
Zhao, Zhiguo, Yibo Dai, Ke Li, Zhirong Zhang, Yibing Fang, Biao Chen, and Qian Zhao.
2025. "Estimation of Lithium Battery State of Health Using Hybrid Deep Learning with Multi-Step Feature Engineering and Optimization Algorithm Integration" Energies 18, no. 21: 5849.
https://doi.org/10.3390/en18215849
APA Style
Zhao, Z., Dai, Y., Li, K., Zhang, Z., Fang, Y., Chen, B., & Zhao, Q.
(2025). Estimation of Lithium Battery State of Health Using Hybrid Deep Learning with Multi-Step Feature Engineering and Optimization Algorithm Integration. Energies, 18(21), 5849.
https://doi.org/10.3390/en18215849
