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• W2724521574 abstract "A thermal–electrochemical model of lithium-ion batteries is presented and a Luenberger observer is derived for State-of-Charge (SoC) estimation by recovering the lithium concentration in the electrodes. This first-principles based model is a coupled system of partial and ordinary differential equations, which is a reduced version of the Doyle–Fuller–Newman model. More precisely, the subsystem of Partial Differential Equations (PDEs) is the Single Particle Model (SPM) while the Ordinary Differential Equation (ODE) is a model for the average temperature in the battery. The observer is designed following the PDE backstepping method. Since some coefficients in the coupled ODE–PDE system are time-varying, this results in the time dependency of some coefficients in the kernel function system of the backstepping transformation and it is non-trivial to show well-posedness of the latter system. Adding thermal dynamics to the SPM serves a two-fold purpose: improving the accuracy of SoC estimation and keeping track of the average temperature which is a critical variable for safety management in lithium-ion batteries. Effectiveness of the estimation scheme is validated via numerical simulations." @default.
• W2724521574 created "2017-07-14" @default.
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• W2724521574 date "2017-09-01" @default.
• W2724521574 modified "2023-10-18" @default.
• W2724521574 title "State-of-Charge estimation from a thermal–electrochemical model of lithium-ion batteries" @default.
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• W2724521574 doi "https://doi.org/10.1016/j.automatica.2017.06.030" @default.
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