Novel reduced‑order modeling method combined with three‑particle nonlinear transform unscented Kalman filtering for the battery state‑of‑charge estimation
Vol. 20, No. 6, pp. 1541-1549, Nov. 2020
10.1007/s43236-020-00146-z
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Lithium-ion battery Thevenin model State of charge Unscented Kalman filtering algorithm Nonlinear transform
Abstract
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Cite this article
[IEEE Style]
W. Xu, S. Wang, C. Fernandez, C. Yu, Y. Fan, W. Cao, "Novel reduced‑order modeling method combined with three‑particle nonlinear transform unscented Kalman filtering for the battery state‑of‑charge estimation," Journal of Power Electronics, vol. 20, no. 6, pp. 1541-1549, 2020. DOI: 10.1007/s43236-020-00146-z.
[ACM Style]
Wenhua Xu, Shunli Wang, Carlos Fernandez, Chunmei Yu, Yongcun Fan, and Wen Cao. 2020. Novel reduced‑order modeling method combined with three‑particle nonlinear transform unscented Kalman filtering for the battery state‑of‑charge estimation. Journal of Power Electronics, 20, 6, (2020), 1541-1549. DOI: 10.1007/s43236-020-00146-z.