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Fast UD factorization-based RLS online parameter identification for model-based condition monitoring of lithium-ion batteries.

, , , , , and . ACC, page 4410-4415. IEEE, (2014)

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Nonlinear adaptive estimation of the state of charge for Lithium-ion batteries., , , , and . CDC, page 4405-4410. IEEE, (2013)Adaptive estimation of state of charge for lithium-ion batteries., , , , and . ACC, page 3485-3491. IEEE, (2013)Fast UD factorization-based RLS online parameter identification for model-based condition monitoring of lithium-ion batteries., , , , , and . ACC, page 4410-4415. IEEE, (2014)Adaptive Estimation of the State of Charge for Lithium-Ion Batteries: Nonlinear Geometric Observer Approach., , , , and . IEEE Trans. Contr. Sys. Techn., 23 (3): 948-962 (2015)State-of-charge estimation for lithium-ion batteries via a coupled thermal-electrochemical model., , , , , and . ACC, page 5871-5877. IEEE, (2015)Design of Oversampling ΔΣ DA Converters Via H∞Optimization., , and . ICASSP (3), page 612-615. IEEE, (2006)Capacity estimation for lithium-ion batteries using adaptive filter on affine space., , , and . ASCC, page 1-6. IEEE, (2015)State-of-charge estimation for batteries: A multi-model approach., , , , , , and . ACC, page 2779-2785. IEEE, (2014)Remaining Useful Life Estimation of Batteries using Dirichlet Process with Variational Bayes Inference., , and . IECON, page 2729-2735. IEEE, (2018)State-of-charge and parameter estimation of lithium-ion battery using dual adaptive filter., and . CCTA, page 1332-1337. IEEE, (2017)