Cite
Improved Backward Smoothing--Square Root Cubature Kalman Filtering and Variable Forgetting Factor--Recursive Least Square Modeling Methods for the High-Precision State of Charge Estimation of Lithium-Ion Batteries.
MLA
Mengyun Zhang, et al. “Improved Backward Smoothing--Square Root Cubature Kalman Filtering and Variable Forgetting Factor--Recursive Least Square Modeling Methods for the High-Precision State of Charge Estimation of Lithium-Ion Batteries.” Journal of The Electrochemical Society, vol. 170, no. 3, Mar. 2023, pp. 91–98. EBSCOhost, https://doi.org/10.1149/1945-7111/acb10b.
APA
Mengyun Zhang, Shunli Wang, Xiao Yang, Yanxin Xie, Ke Liu, & Chuyan Zhang. (2023). Improved Backward Smoothing--Square Root Cubature Kalman Filtering and Variable Forgetting Factor--Recursive Least Square Modeling Methods for the High-Precision State of Charge Estimation of Lithium-Ion Batteries. Journal of The Electrochemical Society, 170(3), 91–98. https://doi.org/10.1149/1945-7111/acb10b
Chicago
Mengyun Zhang, Shunli Wang, Xiao Yang, Yanxin Xie, Ke Liu, and Chuyan Zhang. 2023. “Improved Backward Smoothing--Square Root Cubature Kalman Filtering and Variable Forgetting Factor--Recursive Least Square Modeling Methods for the High-Precision State of Charge Estimation of Lithium-Ion Batteries.” Journal of The Electrochemical Society 170 (3): 91–98. doi:10.1149/1945-7111/acb10b.