APA (7th ed.) Citation

Liu, D., Fan, Y., Wang, S., Xia, L., Qiu, J., & Bobobee, E. D. (2021). A Novel Fading Memory Recursive Least Square Method (FMLS) for Accurate State of Charge Estimation of Lithium-ion Batteries Combined with Improved Second Order PNGV Modeling. International journal of electrochemical science, 16(9), 21097. https://doi.org/10.20964/2021.09.34

Chicago Style (17th ed.) Citation

Liu, Donglei, Yongcun Fan, Shunli Wang, Lili Xia, Jingsong Qiu, and Etse Dablu Bobobee. "A Novel Fading Memory Recursive Least Square Method (FMLS) for Accurate State of Charge Estimation of Lithium-ion Batteries Combined with Improved Second Order PNGV Modeling." International Journal of Electrochemical Science 16, no. 9 (2021): 21097. https://doi.org/10.20964/2021.09.34.

MLA (9th ed.) Citation

Liu, Donglei, et al. "A Novel Fading Memory Recursive Least Square Method (FMLS) for Accurate State of Charge Estimation of Lithium-ion Batteries Combined with Improved Second Order PNGV Modeling." International Journal of Electrochemical Science, vol. 16, no. 9, 2021, p. 21097, https://doi.org/10.20964/2021.09.34.