Webinars

(FREE) MALVERN PANALYTICAL: Detecting Large Particles and Contaminants Using Dynamic Imaging and Adaptive Diffraction on Mastersizer 3000+

Large particles and contaminants may cause local hotspots in battery cells severely impacting safety and performance, making early detection of oversized particles an important analytical requirement. We will discuss how a combination of dynamic imaging and adaptive Laser diffraction can be used to detect oversized particles down to a few particles per million level.

This webinar will focus on the following key topics:

• Large particles and contaminants in electrode materials
• Laser diffraction for particle sizing
• Dynamic imaging for particle shape analysis and large particle detection
• Adaptive diffraction for large particle detection

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

Presenter
Umesh Tiwari – Market Development Manager, Advanced Battery at Malvern Panalytical

Dr. Umesh Tiwari is the Market Development Manager, Advanced Battery at Malvern Panalytical. He has a Ph.D. in physics and has 17 years of experience working with academia and industries for lab and online solutions for advanced research and enhanced productivity. His expertise is in the structural, elemental, and morphological characterization of powder, slurry, and finished materials including online monitoring for process and quality controls. He has been closely associated with many development projects within Malvern Panalytical to bring technological enhancement in characterization tools to benefit battery research and manufacturing.

Malvern Panalytical is a proud sponsor of this event.

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TEMPLE UNIVERSITY: Modeling Mechanical Abuse and Short Circuit of EV Batteries

As electric vehicles (EVs) become more widespread, ensuring lithium-ion battery safety during collisions is increasingly important. Mechanical impacts can cause internal damage, leading to short circuits, thermal runaway, or explosions. Protective enclosures help reduce deformation, but effective design demands accurate failure predictions. This webinar presents a comprehensive approach for modeling mechanical abusive loads on EV batteries, incorporating experiments, material characterization and the Sahraei Failure Criterion—a universal failure model based on microstructural simulations of the electrode-separator assembly. Model validations will be presented across various cell types and loading scenarios in commercial software such as Ansys LS-Dyna and Altair Radioss. Combined with multi-scale simulations, this framework supports the development of safer, more resilient battery systems for EVs.

This webinar will focus on the following key topics:

• Experimental Methods for Material Characterization
• Multiscale Modeling from Components to Cells and Battery Packs
• Short Circuit Prediction with Sahraei Failure
• Applicability to Pouch, Cylindrical and Prismatic Cells

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

Presenter
Elham Sahraei – Associate Professor at Temple University

Elham Sahraei is an Associate Professor and Director of the Electric Vehicle Safety Lab at Temple University. Her research focuses on lithium-ion battery safety under extreme mechanical loading. She is the founder of the Center for Battery Safety, advancing experimental and simulation methods for battery modeling. Her work is supported by the automotive industry, software companies, state agencies, and the U.S. Navy. Previously, she was a Research Scientist and Co-Director of the MIT Battery Consortium. Dr. Sahraei holds a Ph.D. from George Washington University. She has received multiple awards for her research and contributes extensively to conferences on battery safety and crashworthiness.

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