Mao, S.; Han, M.; Han, X.; Lu, L.; Feng, X.; Su, A.; Wang, D.; Chen, Z.; Lu, Y.; Ouyang, M.
An Electrical–Thermal Coupling Model with Artificial Intelligence for State of Charge and Residual Available Energy Co-Estimation of LiFePO4 Battery System under Various Temperatures. Batteries 2022, 8, 140.
https://doi.org/10.3390/batteries8100140
AMA Style
Mao S, Han M, Han X, Lu L, Feng X, Su A, Wang D, Chen Z, Lu Y, Ouyang M.
An Electrical–Thermal Coupling Model with Artificial Intelligence for State of Charge and Residual Available Energy Co-Estimation of LiFePO4 Battery System under Various Temperatures. Batteries. 2022; 8(10):140.
https://doi.org/10.3390/batteries8100140
Chicago/Turabian Style
Mao, Shuoyuan, Meilin Han, Xuebing Han, Languang Lu, Xuning Feng, Anyu Su, Depeng Wang, Zixuan Chen, Yao Lu, and Minggao Ouyang.
2022. "An Electrical–Thermal Coupling Model with Artificial Intelligence for State of Charge and Residual Available Energy Co-Estimation of LiFePO4 Battery System under Various Temperatures" Batteries 8, no. 10: 140.
https://doi.org/10.3390/batteries8100140
APA Style
Mao, S., Han, M., Han, X., Lu, L., Feng, X., Su, A., Wang, D., Chen, Z., Lu, Y., & Ouyang, M.
(2022). An Electrical–Thermal Coupling Model with Artificial Intelligence for State of Charge and Residual Available Energy Co-Estimation of LiFePO4 Battery System under Various Temperatures. Batteries, 8(10), 140.
https://doi.org/10.3390/batteries8100140