Nonlinear State and Parameter Estimation for Li-ion Batteries with Thermal Coupling

Zhang, Dong; Couto, Luis D.; Park, Saehong; Gill, Preet; Moura, Scott J.

doi:10.1016/j.ifacol.2020.12.1752

Cited by 4 publications

(1 citation statement)

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“…However, bias issues introduced by KF make such approaches unreliable in case the assumptions on the stochastic properties of the uncertainties are violated. Deterministic approaches include Luenberger-based observers (Zhang et al, 2020) and set-based interval estimation (Raıssi et al, 2004). The latter propose a prediction-update state and parameter estimator suitable for nonlinear continuous-time systems.…”

Section: Introductionmentioning

confidence: 99%

Joint state and parameter estimation based on constrained zonotopes

Rego¹,

Locatelli²,

Raimondo³

et al. 2022

Preprint

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This note presents a new method for set-based joint state and parameter estimation of discrete-time systems using constrained zonotopes. This is done by extending previous set-based state estimation methods to include parameter identification in a unified framework. Unlike in interval-based methods, the existing dependencies between states and model parameters are maintained from one time step to the next, thus providing a more accurate estimation scheme. In addition, the enclosure of states and parameters is refined using measurements through generalized intersections, which are properly captured by constrained zonotopes. The advantages of the new approach are highlighted in two numerical examples.

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Section: Introductionmentioning

confidence: 99%