Robust state of charge and state of health estimation for batteries using a novel multi model approach

DOI10.1007/S11768-022-00103-0zbMath1500.93150OpenAlexW4289521286MaRDI QIDQ2089133

Gianluca Buonomo, Marco Colabella, Davide Faverato, Giovanni Guida

Publication date: 6 October 2022

Published in: Control Theory and Technology (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11768-022-00103-0

zbMATH Keywords

extended Kalman filterstate and parameter estimationnonlinear observabilityadaptive estimation multiple modelsconnected embedded systemsstate-of-chargestate-of-health

Mathematics Subject Classification ID

Filtering in stochastic control theory (93E11) Observability (93B07) Stochastic learning and adaptive control (93E35)

Cites Work

• Switching observer design for uncertain nonlinear systems
• Stabilizing a linear system by switching control with dwell time
• Model-Free Adaptive Switching Control of Time-Varying Plants

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