FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W3212660835> ?p ?o ?g. }

• W3212660835 endingPage "110519" @default.
• W3212660835 startingPage "110519" @default.
• W3212660835 abstract "We consider the problem of parameterizing Newman-type models of Li-ion batteries focusing on quantifying the inherent uncertainty of this process and its dependence on the discharge rate. In order to rule out genuine experimental error and instead isolate the intrinsic uncertainty of model fitting, we concentrate on an idealized setting where “synthetic” measurements in the form of voltage curves are manufactured using the full, and most accurate, Newman model with parameter values considered “true”, whereas parameterization is performed using simplified versions of the model, namely, the single-particle model and its recently proposed corrected version. By framing the problem in this way, we are able to eliminate aspects which affect uncertainty, but are hard to quantify such as, e.g., experimental errors. The parameterization is performed by formulating an inverse problem which is solved using a state-of-the-art Bayesian approach in which the parameters to be inferred are represented in terms of suitable probability distributions; this allows us to assess the uncertainty of their reconstruction. The key finding is that while at slow discharge rates the voltage curves can be reconstructed quite accurately, this can be achieved with some parameters varying by 300% or more, thus providing evidence for very high uncertainty of the parameter inference process. As the discharge rate increases, the reconstruction uncertainty is reduced. However, the fits to the voltage curves become less accurate and the reconstructed parameter values begin to deviate from the “true” ones. The decrease in the accuracy of fits is concomitant with the simplified models losing validity; at C-rates of 2C and above the single-particle model does not accurately capture the physics of (dis)charge. This reveals a pitfall that one needs to be mindful of, namely, that an accurate fit does not necessarily mean that the fitted model accurately describes the physics. We conclude that inverse modelling using simplified models appears to be a viable and useful strategy for parameterizing Newman-type models because they allow fitting to be carried out in a reduced parameter space, however, we should be careful to verify that the reduced models are valid before trusting the results." @default.
• W3212660835 created "2021-11-22" @default.
• W3212660835 creator A5005990353 @default.
• W3212660835 creator A5072188726 @default.
• W3212660835 creator A5073720926 @default.
• W3212660835 creator A5079843159 @default.
• W3212660835 date "2021-11-01" @default.
• W3212660835 modified "2023-09-27" @default.
• W3212660835 title "On Uncertainty Quantification in the Parametrization of Newman-Type Models of Lithium-Ion Batteries" @default.
• W3212660835 cites W1819956133 @default.
• W3212660835 cites W1820838789 @default.
• W3212660835 cites W1916811336 @default.
• W3212660835 cites W1981415325 @default.
• W3212660835 cites W2026371477 @default.
• W3212660835 cites W2033528237 @default.
• W3212660835 cites W2034228391 @default.
• W3212660835 cites W2051349350 @default.
• W3212660835 cites W2056760934 @default.
• W3212660835 cites W2064808051 @default.
• W3212660835 cites W2108207895 @default.
• W3212660835 cites W2109385534 @default.
• W3212660835 cites W2113449668 @default.
• W3212660835 cites W2130893993 @default.
• W3212660835 cites W2149498546 @default.
• W3212660835 cites W2169518199 @default.
• W3212660835 cites W2342238862 @default.
• W3212660835 cites W2495099137 @default.
• W3212660835 cites W2508166248 @default.
• W3212660835 cites W2559148811 @default.
• W3212660835 cites W2789662403 @default.
• W3212660835 cites W2808358920 @default.
• W3212660835 cites W2888569062 @default.
• W3212660835 cites W2903799166 @default.
• W3212660835 cites W2904676382 @default.
• W3212660835 cites W2922282704 @default.
• W3212660835 cites W2940463243 @default.
• W3212660835 cites W2946503714 @default.
• W3212660835 cites W2969374881 @default.
• W3212660835 cites W2983398711 @default.
• W3212660835 cites W3006787988 @default.
• W3212660835 cites W3019277161 @default.
• W3212660835 cites W3100564925 @default.
• W3212660835 cites W3105294534 @default.
• W3212660835 cites W3129729540 @default.
• W3212660835 cites W3154075679 @default.
• W3212660835 doi "https://doi.org/10.1149/1945-7111/ac3159" @default.
• W3212660835 hasPublicationYear "2021" @default.
• W3212660835 type Work @default.
• W3212660835 sameAs 3212660835 @default.
• W3212660835 citedByCount "5" @default.
• W3212660835 countsByYear W32126608352022 @default.
• W3212660835 countsByYear W32126608352023 @default.
• W3212660835 crossrefType "journal-article" @default.
• W3212660835 hasAuthorship W3212660835A5005990353 @default.
• W3212660835 hasAuthorship W3212660835A5072188726 @default.
• W3212660835 hasAuthorship W3212660835A5073720926 @default.
• W3212660835 hasAuthorship W3212660835A5079843159 @default.
• W3212660835 hasBestOaLocation W32126608352 @default.
• W3212660835 hasConcept C105795698 @default.
• W3212660835 hasConcept C107673813 @default.
• W3212660835 hasConcept C11413529 @default.
• W3212660835 hasConcept C121332964 @default.
• W3212660835 hasConcept C121864883 @default.
• W3212660835 hasConcept C134306372 @default.
• W3212660835 hasConcept C135252773 @default.
• W3212660835 hasConcept C160234255 @default.
• W3212660835 hasConcept C165801399 @default.
• W3212660835 hasConcept C202887219 @default.
• W3212660835 hasConcept C207467116 @default.
• W3212660835 hasConcept C2524010 @default.
• W3212660835 hasConcept C28826006 @default.
• W3212660835 hasConcept C32230216 @default.
• W3212660835 hasConcept C33923547 @default.
• W3212660835 hasConcept C62520636 @default.
• W3212660835 hasConcept C74902906 @default.
• W3212660835 hasConceptScore W3212660835C105795698 @default.
• W3212660835 hasConceptScore W3212660835C107673813 @default.
• W3212660835 hasConceptScore W3212660835C11413529 @default.
• W3212660835 hasConceptScore W3212660835C121332964 @default.
• W3212660835 hasConceptScore W3212660835C121864883 @default.
• W3212660835 hasConceptScore W3212660835C134306372 @default.
• W3212660835 hasConceptScore W3212660835C135252773 @default.
• W3212660835 hasConceptScore W3212660835C160234255 @default.
• W3212660835 hasConceptScore W3212660835C165801399 @default.
• W3212660835 hasConceptScore W3212660835C202887219 @default.
• W3212660835 hasConceptScore W3212660835C207467116 @default.
• W3212660835 hasConceptScore W3212660835C2524010 @default.
• W3212660835 hasConceptScore W3212660835C28826006 @default.
• W3212660835 hasConceptScore W3212660835C32230216 @default.
• W3212660835 hasConceptScore W3212660835C33923547 @default.
• W3212660835 hasConceptScore W3212660835C62520636 @default.
• W3212660835 hasConceptScore W3212660835C74902906 @default.
• W3212660835 hasFunder F4320310677 @default.
• W3212660835 hasFunder F4320317150 @default.
• W3212660835 hasFunder F4320334593 @default.
• W3212660835 hasIssue "11" @default.
• W3212660835 hasLocation W32126608351 @default.
• W3212660835 hasLocation W32126608352 @default.

• next