@inproceedings{Ascencio:2016:10.1109/CDC.2016.7799133,
author = {Ascencio, P and Astolfi, A and Parisini, T},
doi = {10.1109/CDC.2016.7799133},
pages = {5623--5628},
publisher = {IEEE},
title = {Backstepping PDE-based adaptive observer for a single particle model of lithium-ion batteries},
url = {http://dx.doi.org/10.1109/CDC.2016.7799133},
year = {2016}
}

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TY  - CPAPER
AB  - This article deals with the observer design problem for the simultaneous estimation of the solid Lithium concentration and of the diffusion parameter for a Single Particle Model of Lithium-Ion Batteries. The design is based on the Backstepping PDE methodology, including a modified Volterra transformation to compensate for the diffusivity uncertainty. The resulting coupled/uncoupled Kernel-PDE and Ordinary Differential Equation (ODE) are recast, via a Sum-of-Squares decomposition, in terms of a convex optimization problem and solved by semidefinite programming, allowing, at each fixed time, an efficient computation of the state and parameter observer gains. In addition, based on the Moment approach, a novel scheme of inversion of the nonlinear output mapping of the Single Particle Model is presented. The effectiveness of this approach is illustrated by numerical simulations.
AU  - Ascencio,P
AU  - Astolfi,A
AU  - Parisini,T
DO  - 10.1109/CDC.2016.7799133
EP  - 5628
PB  - IEEE
PY  - 2016///
SN  - 0743-1546
SP  - 5623
TI  - Backstepping PDE-based adaptive observer for a single particle model of lithium-ion batteries
UR  - http://dx.doi.org/10.1109/CDC.2016.7799133
UR  - http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000400048105132&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
UR  - http://hdl.handle.net/10044/1/53694
ER  - 

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