Webinars

(FREE) MALVERN PANALYTICAL: The Future of Materials Analysis in R2R Production – Epsilon Xline

Join us as we unveil the future of materials analysis for roll-to-roll production! See our on-line X-ray fluorescence innovation in action. Epsilon Xline is set to revolutionize material usage, cost-efficiency, and product quality in roll-to-roll production.

This webinar will focus on the following key topics:

• Learn what industry challenges inspired our team to create this bespoke solution
• Revolutionize material usage, cost-efficiency, and product quality in your production processes
• Learn how this innovation can elevate your specific field and applications

A PDF copy of the presentation will be sent to all attendees after the event.

Presenter
Dr. Michel Zoontjes – Product Manager, XRF at Malvern Panalytical

Malvern Panalytical is a proud sponsor of this event.

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(FREE) MALVERN PANALYTICAL: XRF Analysis in Process Control of Battery Cathode Manufacturing

To optimize the chemical composition of the final cathode materials, it is first essential to control the chemical composition of the precursor and raw materials. X-ray fluorescence (XRF) analysis, which can characterize chemical composition and impurities from just a few ppm all the way up to 100%, is the best technique for controlling this parameter.

Specifically, XRF provides a simpler and more accurate way of measuring elemental composition than inductively coupled plasma (ICP) mass spectrometry, as it does not require any sample dilution or acid digestion.

Malvern Panalytical specialists have developed a turn-key solution, including certified reference materials (CRMs) and calibration templates, for the analysis of both precursor and cathode material composition with the benchtop Epsilon 4 EDXRF or floor-standing Zetium WDXRF spectrometers.

This webinar will focus on the following key topics:

• On-line and at-line XRF analysis of solutions containing Ni, Co and Mn
• NCM-certified reference materials for XRF calibration purposes
• Turn-key solution for the XRF analysis of NCM precursors and cathodes

A PDF copy of the presentation will be sent to all attendees after the event.

Presenter
Alexander Komelkov – XRF Application Specialist at Malvern Panalytical

Back in 1996 Alexander obtained a diploma of Engineer-Physicist followed by Master of Science degree in Physics in 2000. Then he worked in a metallurgical and a mining industries as a chemical analysist and R&D specialist.

In 2008 Alexander joined (Malvern) Panalytical as an Application Specialist for X-Ray Fluorescence analysis. Currently, Alexander provides XRF expertise consultancy to customers, develops advanced XRF applications and solutions, participates in XRF R&D projects. The main areas of expertise are geological and mining applications, as well as borate fusion for XRF analysis. He is co-creator of the methodology for combined WD/ED XRF analysis.

Malvern Panalytical is a proud sponsor of this event.

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(FREE) BAUM & ASSOCIATES: The US Electric Vehicle Market – Ruled by Demand or Supply?

Sales of battery electrics are surging, but the market is unsettled. High prices have hurt demand, as high costs due to lack of scale and supplier and manufacturer production problems have occurred.

Short-term financial pressures and regulatory requirements, which do not require high BEV volumes in the short-term, enable companies to back off on the timing and extent of some of their investments.

But 2026 looks a lot different than 2024, and the North American market does not operate in a vacuum. We will address what companies have achieved, where they’ve come up short, and what the future holds.

We will also assess the outlook for industry participants as changes in production, manufacturing and design techniques, regulation, and battery technologies evolve.

This webinar will focus on the following key topics:

• Current Sales and Products forecasted to 2030
• Company plans are in flux for multiple reasons
• Regulatory impact is significant and unclear
• The evolving Battery and Materials market adds uncertainty and opportunity

A PDF copy of the presentation will be sent to all attendees after the event.

Presenter
Alan Baum – Principal, Baum & Associates

Alan Baum formed Baum & Associates in August 2009. The company produces a detailed sales forecast, market analysis, and product life cycle for the range of electrified vehicles and provides monthly sales results for these vehicles. Baum analyzes the impact of alternative fuel vehicles as well as advanced technologies in internal combustion engines that provide improved fuel economy. He consults with suppliers, the financial community, government agencies, and non-governmental organizations. Since the 1980s, Baum has produced an automotive production forecast with detailed analysis of the automotive market.

PlugVolt is a proud sponsor of this event.

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(FREE) TORAY: Introduction to Latest Analysis for PEMFC and Water Electrolysis

A sustainable power device such as a PEMFC (Proton Exchange Membrane Fuel Cell) and water electrolysis have been developed for higher efficiency and better durability. A latest analytical technique and approach, critical to understanding the key factors of degradation mechanism and higher performance, will be discussed. TRC (Toray Research Center, inc.) has developed this approach to offer crucial information linked to these key factors.

In this presentation, we will share this latest TRC technique along with some obtained results. For PEMFC, quantitative analysis using TEM tomography and distribution analysis of radical quencher within electrolyte, will be shown as the main new approach. Furthermore, 2 case studies will be introduced to show the effective analysis for water electrolysis devices.

This webinar will focus on the following key topics:

• Polymer electrolyte fuel cells
• Water electrolysis
• Analytical technique
• Comprehensive analysis

A PDF copy of the presentation will be sent to all attendees after the event.

Presenter
Tomohiro Sakata – Senior Research Chemist at Toray Research Center

Tomohiro Sakata is senior research chemist using photoelectron spectroscopy at Toray Research Center. He received Ph.D. in surface physics in 2014. He worked at Innovation Research center for fuel cells, the University of Electro-Communications after postdoc at RWTH Aachen University. His area of expertise is the analysis of semiconductors using photoelectron spectroscopy, and fuel cells using X-ray absorption fine structure.

Toray is a proud sponsor of this event.

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PURDUE UNIVERSITY: Low Data Machine Learning for Predicting Lithium-ion Battery Aging

Meeting the demand for reliable energy storage, this work presents a machine-learning model for precise cycle life prediction in lithium-ion batteries (LIB). It explores battery aging features, utilizes data-driven methods for health assessment, and applies machine learning to predict cycle life. To address data limitations, synthetic data generation is employed, enhancing prediction accuracy. The presentation concludes by demonstrating the practical deployment of the proposed ML model on a battery management system, showcasing its potential impact on power usage efficiency. Discussions cover crucial aspects such as battery aging, data-driven health measurement, and the model’s versatility in handling accidental effects during operation.

This webinar will focus on the following key topics:

• Unveiling Battery Aging: identifying key aging features
• Data-Driven Insights: machine learning for battery state of health assessment
• Cycle Life Precision: machine learning in Lithium-Ion battery predictions
• Addressing Data Gaps: synthetic data for enhanced prediction accuracy
• Real-World Impact: practical deployment of ML on battery management systems

A PDF copy of the presentation will be sent to all attendees after the event.

Presenter
Meghana Sudarshan – Ph.D. Candidate at Purdue University

Meghana Sudarshan is currently pursuing a Ph.D. from the School of Aeronautics and Astronautics at Purdue University. Her research focuses on developing data-driven models agnostic battery management systems in UAVs and electric vehicles for predicting degradation of COTS (Commercial Off-The-Shelf) Li-ion Batteries as a function of operation parameters.

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