Hong, J.; Liang, F.; Gong, X.; Xu, X.; Yu, Q.
Accurate State of Charge Estimation for Real-World Battery Systems Using a Novel Grid Search and Cross Validated Optimised LSTM Neural Network. Energies 2022, 15, 9654.
https://doi.org/10.3390/en15249654
AMA Style
Hong J, Liang F, Gong X, Xu X, Yu Q.
Accurate State of Charge Estimation for Real-World Battery Systems Using a Novel Grid Search and Cross Validated Optimised LSTM Neural Network. Energies. 2022; 15(24):9654.
https://doi.org/10.3390/en15249654
Chicago/Turabian Style
Hong, Jichao, Fengwei Liang, Xun Gong, Xiaoming Xu, and Quanqing Yu.
2022. "Accurate State of Charge Estimation for Real-World Battery Systems Using a Novel Grid Search and Cross Validated Optimised LSTM Neural Network" Energies 15, no. 24: 9654.
https://doi.org/10.3390/en15249654
APA Style
Hong, J., Liang, F., Gong, X., Xu, X., & Yu, Q.
(2022). Accurate State of Charge Estimation for Real-World Battery Systems Using a Novel Grid Search and Cross Validated Optimised LSTM Neural Network. Energies, 15(24), 9654.
https://doi.org/10.3390/en15249654