Lithium-ion battery pack performance and longevity can be severely affected by cell-to-cell variations. Statistical modeling is an important tool for optimization of performance and safety of battery packs. This work presents uncertainty quantification of Lithium-ion battery performance, in particular sensitivity analysis. This analysis is based on calculation of Sobol' indices from a surrogate model, based on Polynomial Chaos Expansion. Performance is compared with Monte Carlo simulations.
Uncertainty Quantification of Lithium-Ion Batteries with Polynomial Chaos
Orcioni, Simone;Conti, Massimo
2020-01-01
Abstract
Lithium-ion battery pack performance and longevity can be severely affected by cell-to-cell variations. Statistical modeling is an important tool for optimization of performance and safety of battery packs. This work presents uncertainty quantification of Lithium-ion battery performance, in particular sensitivity analysis. This analysis is based on calculation of Sobol' indices from a surrogate model, based on Polynomial Chaos Expansion. Performance is compared with Monte Carlo simulations.File in questo prodotto:
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