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