THESIS
2013
Abstract
A solid-electrolyte-interface (SEI) layer that grows at the electrode surface is a vital
factor to predict calendar-life time and cycling performance of lithium-ion batteries.
This thesis intends to develop a model that couples detailed chemistry and multi-species
transport with a stress evolution process in the SEI, and make an uncertainty
quantification of relative parameters. Electrochemical and mechanical equations are
derived and solved, and a global uncertainty analysis method with polynomial chaos
(PC) expansions is developed. Particularly, transport equations involve species and
charge conversation with a constraint of electroneutrality. The coupling model focuses
on the stress evolution in the SEI layer from 0.1C to 1C.
The kinetic parameters are quantified by variance...[
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A solid-electrolyte-interface (SEI) layer that grows at the electrode surface is a vital
factor to predict calendar-life time and cycling performance of lithium-ion batteries.
This thesis intends to develop a model that couples detailed chemistry and multi-species
transport with a stress evolution process in the SEI, and make an uncertainty
quantification of relative parameters. Electrochemical and mechanical equations are
derived and solved, and a global uncertainty analysis method with polynomial chaos
(PC) expansions is developed. Particularly, transport equations involve species and
charge conversation with a constraint of electroneutrality. The coupling model focuses
on the stress evolution in the SEI layer from 0.1C to 1C.
The kinetic parameters are quantified by variance-based method, and the numerical
integral method is employed by Smolyak’s cubature. Compared with prior models, this
model which starts from a valid 1 nm thickness provides an advanced understanding of
electrochemical properties of charged species in the SEI layer, and couples with
mechanical aspects. This coupling model gives a first description of the diffusion-induced
stress generation in the SEI, where the tangential components mainly affect
the mechanical properties with a value above 100 MPa. After uncertainty
quantification, we figure out the electron charge transfer reaction mainly control the
growth process and the stress generation process according to its highest uncertainty.
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