Name
Title | ||
|---|---|---|
Backstepping Pde-Based Adaptive Observer For A Single Particle Model Of Lithium-Ion Batteries |
Abstract | ||
|---|---|---|
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. |
Year | Venue | Field |
|---|---|---|
2016 | 2016 IEEE 55TH CONFERENCE ON DECISION AND CONTROL (CDC) | Mathematical optimization,Backstepping,Nonlinear system,Ordinary differential equation,Control theory,Computer science,Observer (quantum physics),Convex optimization,Ode,Semidefinite programming,Computation |
DocType | ISSN | Citations |
Conference | 0743-1546 | 0 |
PageRank | References | Authors |
0.34 | 0 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Pedro Ascencio | 1 | 0 | 0.34 |
| Alessandro Astolfi | 2 | 1554 | 169.77 |
| T Parisini | 3 | 935 | 113.17 |