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      <dc:title>Elucidating the role of particle radius and active material diffusivity in metal-ion batteries</dc:title>
      <dc:creator>Oca, Laura</dc:creator>
      <dc:creator>Arcelus, O.</dc:creator>
      <dc:creator>Fernandez Gonzalez, Sergio</dc:creator>
      <dc:creator>Lopetegi Tapia, Iker</dc:creator>
      <dc:creator>Gucciardi, E.</dc:creator>
      <dc:creator>Herran, A.</dc:creator>
      <dc:subject>ODS 9 Industria, innovación e infraestructura</dc:subject>
      <dc:description>The impact of particle size distribution and shape in metal-ion batteries has been widely&#xd;
reported1. For the same active material properties (active material diffusivity, open circuit&#xd;
potential etc.) the use of smaller or bigger particle sizes in the porous electrode matrix&#xd;
greatly influences cell performance. From the design standpoint, a good balance of particle&#xd;
properties is of great importance2. In the research community, Scanning Electron&#xd;
Microscopy (SEM), Dynamic Light Scattering (DLS) could be used to characterise the active&#xd;
material particles. Moreover, different techniques such as Galvanostatic or Potentiostatic&#xd;
Intermittent Tritiation Techniques (GITT/PITT) or Electrochemical Impedance Spectroscopy&#xd;
(EIS) could be conducted to calculate bulk solid diffusivities of those materials3,4. The&#xd;
experiments are usually performed at the electrode-level in half-cells, therefore, in order&#xd;
to experimentally obtain bulk properties, the properties of the porous-electrode matrix&#xd;
need to be known which requires heavy post-processing efforts.&#xd;
Physics-based models can aid in this research, analysing the electrodes at different scales5&#xd;
and fitting the diffusivity values4. The baseline of this research is the well-stablished&#xd;
Pseudo-two-Dimensional (P2D) model. This model assumes that particles are spherical,&#xd;
and monodispersed. This study will explore different model assumptions such as constant&#xd;
solid diffusivity, stoichiometry dependent solid diffusivity (with ad-hoc analytical&#xd;
functions), and Baker-Verbrugge diffusion model, among others. Moreover, the explicit&#xd;
consideration of a particle size distribution is analyzed within the model. The aim is to get&#xd;
a compromise between the accuracy and speed of the model, as well as proposing a&#xd;
method for post-processing and including higher fidelity considerations about particle&#xd;
radius and solid diffusion into P2D models.&#xd;
The focus of this research is to perform experimental and numerical analysis to discuss&#xd;
how to take into account the active material diffusivity and particle radius in continuumscale&#xd;
simulations for metal-ion batteries. This work explores the benefits of different&#xd;
assumptions (on particle size-distribution and solid diffusion) with the aim of applying those&#xd;
improvements to a reduce order model that could potentially run in a real-time&#xd;
environment to build advanced estimators with enhanced accuracy at high current rates.</dc:description>
      <dc:date>2026-02-24T08:46:42Z</dc:date>
      <dc:date>2026-02-24T08:46:42Z</dc:date>
      <dc:date>2025</dc:date>
      <dc:identifier>https://katalogoa.mondragon.edu/janium-bin/janium_login_opac.pl?find&amp;ficha_no=200911</dc:identifier>
      <dc:identifier>https://hdl.handle.net/20.500.11984/14040</dc:identifier>
      <dc:language>eng</dc:language>
   </ow:Publication>
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