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Schedule at a glance (see detailed program below)

June 29, 2020 Starting @ 02:00 PM (CEST)


June 30, 2020 Starting @ 02:00 PM (CEST)


July 01, 2020 Starting @ 02:00 PM (CEST)


July 02, 2020 Starting @ 02:00 PM (CEST)


July 03, 2020 Starting @ 02:00 PM (CEST)


About

After decades of research and more than twenty years of market development, Lithium Ion Batteries (LIBs) have contributed to the commercial success of portable electronics and constitute nowadays the most used battery type in modern Electric Vehicles (EV). However, regarding EV applications, LIBs have reached a point where optimization of their electrode mesostructure is vital to decrease their cost and to improve their performance. The porous electrode mesostructure and its associated properties (e.g. porosity, tortuosities, electronic conductivity) strongly depend on the adopted fabrication process and parameters, such as the slurry composition, the solvent evaporation rate and the calendering pressure. Enabling precise control of material arrangement and distribution in the electrodes is of paramount importance for designing the next generation of rechargeable battery electrodes.

The ARTISTIC Project, granted by the European Research Council and lead by Prof. Alejandro A. Franco (UPJV/LRCS), aims at developing a digital twin of LIB manufacturing process by combining physical models, Artificial Intelligence algorithms and experimental characterizations. Such a digital twin aims at predicting the influence of the process parameters on the final LIB performance upon cycling, but also at performing reverse engineering.

This "Battery Manufacturing Webinar Series" aims to develop a forum of discussion about the links between battery manufacturing process and electrode properties, encompassing both modeling and experimental approaches. Free of charge, this Webinar Series is devoted to battery scientists and engineers as well as to students interested in the energy field. The schedule combines talks given by the ARTISTIC project members and invited talks given by active battery scientists from Europe and North America. In this occasion, the ARTISTIC project members will present their latest works and will introduce the first version of the "Data Explorer", an interactive Web App which will allow users to have access and reuse the project database. The invited speakers will cover a wide diversity of linked topics, such as battery aqueous processing, autonomous discovery of materials, electrode microstructure-properties links, machine learning generation of electrode microstructures, impedance characterization of porous electrodes and much more !

Webinar connexion details will be communicated to the registrants later by email.

Program

Day Speaker Hour Topic
MONDAY, June 29 Prof. Alejandro A. Franco
ARTISTIC Project, Université de Picardie Jules Verne 		02:00 PM - 02:50 PM ARTISTIC Project: Towards a Digital Twin of Lithium Ion Batteries Manufacturing.
MONDAY, June 29 Dr. Ivano Castelli
Technical University of Denmark, Denmark 		02:50 PM - 03:40 PM How to autonomously design better battery materials and interfaces using Density Functional Theory.
MONDAY, June 29 Teo Lombardo, Marc Duquesnoy
ARTISTIC Project, Université de Picardie Jules Verne 		03:40 PM - 04:30 PM Accelerating Battery Manufacturing Optimization Combining Experiments, In Silico Electrodes Generation and Machine Learning.
MONDAY, June 29 Dr. Aasutosh Mistry
Argonne National Lab, USA 		04:30 PM - 05:20 PM "Misfits" in Porous Li-ion Electrodes: Secondary Solids and Inhomogeneities.
TUESDAY, June 30 Teo Lombardo
ARTISTIC Project, Université de Picardie Jules Verne 		02:00 PM- 02:50 PM Insight in LIB Slurry through Physical-Based Modelling and Machine Learning: A Twofold Approach.
TUESDAY, June 30 Elixabete Ayerbe
CIDETEC Energy Storage, Spain 		02:50 PM - 03:40 PM DEFACTO: Modelling techniques for cell design, from non-dimensional analysis to advanced Reduced Order Models.
TUESDAY, June 30 Dr. Alain Ngandjong
ARTISTIC Project, Université de Picardie Jules Verne 		03:40 PM - 04:30 PM Multiscale Modeling of Lithium Ion Electrodes using CGMD Simulations.
TUESDAY, June 30 Dr. Scott Roberts
Sandia National Lab, USA 		04:30 PM - 05:20 PM Electrode Mesoscale Morphology: How 3D Imaging Combined with Predictive Simulation Improves Performance Insight.
WEDNESDAY, July 01 Dr. Emiliano Primo
ARTISTIC Project, Université de Picardie Jules Verne 		02:00 PM - 02:50 PM Rheology in lithium ion battery electrodes formulation.
WEDNESDAY, July 01 Dr. Sam Cooper
Imperial College, United Kingdom 		02:50 PM - 03:40 PM Pores for thought: Characterisation and design of battery electrode microstructures using simulation and machine learning.
WEDNESDAY, July 01 Mehdi Chouchane
ARTISTIC Project, Université de Picardie Jules Verne 		03:40 PM - 04:30 PM 3D-Li Ion Battery Modeling thanks to an In house Meshing App.
WEDNESDAY, July 01 Dr. Antoni Forner-Cuenca
Eindhoven University of Technology, The Netherlands 		04:30 PM - 05:20 PM Towards Bottom-up Engineered Electrode Microstructures for Redox Flow Batteries.
THURSDAY, July 02 Abbos Shodiev
ARTISTIC Project, Université de Picardie Jules Verne 		02:00 PM - 02:50 PM 4D-resolved physical model for Electrochemical Impedance Spectroscopy in symmetric cells.
THURSDAY, July 02 Prof. Miran Gaberscek
National Institute of Chemistry, Slovenia 		02:50 PM - 03:40 PM Impedance Spectroscopy of Battery Porous Electrodes.
THURSDAY, July 02 Dr. Arnaud Demortière
ARTISTIC Project, CNRS 		03:40 PM - 04:30 PM 3D investigation of battery electrode architecture using X-ray nano-CT and image processing with deep learning.
THURSDAY, July 02 Dr. Jianlin Li
Oak Ridge National Lab, USA 		04:30 PM - 05:20 PM Advanced processing for lithium-ion batteries.
FRIDAY, July 03 Prof. Bernard Lestriez
Institut des Matériaux Jean Rouxel de Nantes, France 		02:00 PM - 02:50 PM Influence of the electrode microstructure on charge transport and electrochemical performance by coupling nanotomography and numerical simulations.
FRIDAY, July 03 Prof. Ulrike Krewer
Karlsruhe Institute of Technology, Germany 		02:50 PM - 03:40 PM Path towards model-based predictive electrode designing: from production effects to optimisation.
FRIDAY, July 03 Marc Duquesnoy
ARTISTIC Project, Université de Picardie Jules Verne 		03:40 PM - 04:30 PM ARTISTIC Project Data Explorer Web App.
FRIDAY, July 03 Prof. Alejandro A. Franco
ARTISTIC Project, Université de Picardie Jules Verne 		04:30 PM - 05:20 PM Battery Manufacturing 4.0 (Virtual Reality) & Concluding Remarks.

Registration

IMPORTANT : If you intend registering to more than 1 session/day, you need to use the menu on the registration page to select the sessions you want to join, i.e. you should register as many time as much sessions you intend to follow (refresh this page to do it ) :

If you don't see the formular, please contact marc.duquesnoy@u-picardie.fr to receive the link of registration.



This Website was developed by Marc Duquesnoy, Research Engineer (ARTISTIC Project, Université de Picardie Jules Verne).