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Guiding the design of heterogeneous electrode microstructures for Li‐ion batteries: microscopic imaging, predictive modeling, and machine learning
Electrochemical and mechanical properties of lithium‐ion battery materials are heavily
dependent on their 3D microstructure characteristics. A quantitative understanding of the …
dependent on their 3D microstructure characteristics. A quantitative understanding of the …
Lithium plating detection methods in Li-ion batteries
U Janakiraman, TR Garrick… - Journal of the …, 2020 - iopscience.iop.org
Lithium-ion batteries (LiB) offer a low-cost, long cycle-life and high energy density solution to
the automotive industry. There is a growing need of fast charging batteries for commercial …
the automotive industry. There is a growing need of fast charging batteries for commercial …
A roadmap for transforming research to invent the batteries of the future designed within the european large scale research initiative battery 2030+
This roadmap presents the transformational research ideas proposed by “BATTERY 2030+,”
the European large‐scale research initiative for future battery chemistries. A “chemistry …
the European large‐scale research initiative for future battery chemistries. A “chemistry …
Tracking variabilities in the simulation of Lithium Ion Battery electrode fabrication and its impact on electrochemical performance
In this paper we report a comprehensive analysis and tracking of the variabilities associated
to multiscale simulations coupling a Coarse Gained Molecular Dynamics (CGMD) model of …
to multiscale simulations coupling a Coarse Gained Molecular Dynamics (CGMD) model of …
Battery 2030+ roadmap
K Edström - 2020 - diva-portal.org
BATTERY 2030+ is a large-scale cross-sectoral European research initiative bringing
together the most important stakeholders in the field of battery R&D. The initiative is working …
together the most important stakeholders in the field of battery R&D. The initiative is working …
A hierarchical a posteriori error estimator for the reduced basis method
In this contribution, we are concerned with tight a posteriori error estimation for projection-
based model order reduction of inf \inf-sup \sup stable parameterized variational problems …
based model order reduction of inf \inf-sup \sup stable parameterized variational problems …
Modeling discontinuous potential distributions using the finite volume method, and application to liquid metal batteries
The electrical potential in a battery jumps at each electrode-electrolyte interface. We present
a model for computing three-dimensional current and potential distributions, which accounts …
a model for computing three-dimensional current and potential distributions, which accounts …
Analysis of microstructural effects in multi-layer lithium-ion battery cathodes
A possible way to increase the energy density in lithium-ion batteries, and, at the same time,
reduce the production costs, is to use thicker electrodes. However, transport limitations can …
reduce the production costs, is to use thicker electrodes. However, transport limitations can …
An implicit-explicit Runge-Kutta-Chebyshev finite element method for the nonlinear Lithium-ion battery equations
R Bermejo, PG del Sastre - Applied Mathematics and Computation, 2019 - Elsevier
We introduce a numerical method to integrate the nonlinear system of equations that model
the physical-chemical laws of the Lithium-ion batteries. The mathematical model, formulated …
the physical-chemical laws of the Lithium-ion batteries. The mathematical model, formulated …
[HTML][HTML] Battery cell optimisation using time–and parameter–adaptive reduced order models
R Medeiros, E Jané, F Varas, M Higuera - Computers & Mathematics with …, 2024 - Elsevier
Efficient and precise optimisation methodologies, when applied to improve the real
performance of engineering devices, must balance the need to reduce high computational …
performance of engineering devices, must balance the need to reduce high computational …