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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Mayhew, C. Wei He Kroener, C. Klein, R. Chaturvedi, N. Kojic, A. |
| Copyright Year | 2014 |
| Description | Author affiliation: Res. & Technol. Center, Robert Bosch, Palo Alto, CA, USA (Mayhew, C.; Wei He; Kroener, C.; Klein, R.; Chaturvedi, N.; Kojic, A.) |
| Abstract | In this work, we apply the projection-based model-reduction framework for PDEs of [1] to the diffusion process governing the intercalation of lithium ions into spherical particles that appears in electrochemical models of Li-ion batteries. We first invoke the projection framework with different projections (the so-called natural-i.e. Galerkin-and volume-averaging projections-NP and VAP, respectively) and different basis sets (even monomials and eigenfunctions of the PDE) to arrive at different reduced models, which we then benchmark in a dimensionless frequency-domain setting. Surprisingly, we find that VAP of an even monomial basis yields an unstable reduced model for anything but the lowest order; however, NP yields suitable results for the basis sets and orders considered. Furthermore, we find that the NP-eigenfunction combination makes for a slow convergence when compared to NP with even monomials; however, room for further improvement is seen when compared with a balanced truncation, which is not applicable in the nonlinear setting of concentration-dependent diffusivity. |
| Starting Page | 123 |
| Ending Page | 128 |
| File Size | 250548 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781479932726 |
| ISSN | 07431619 |
| e-ISBN | 9781479932740 |
| DOI | 10.1109/ACC.2014.6859408 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2014-06-04 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | American Automatic Control Council(AACC) |
| Subject Keyword | Approximation methods Eigenvalues and eigenfunctions Boundary conditions Frequency-domain analysis Batteries Convergence Mathematical model Power systems Reduced order modeling Automotive |
| Content Type | Text |
| Resource Type | Article |
| Subject | Electrical and Electronic Engineering |
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