Showing 5–6 of 6 results

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    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

    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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    A New Generation of Aging Models for Lithium-ion Batteries

    Over the past years, scientists have invested a lot of time and resources to optimize semi-empirical, physico-chemical, and data-driven simulation models. All of them show different challenges and limitations. To overcome this dead end, scientists and engineers combine physicochemical-mechanical degradation effects and integrate them into (semi)-empirical as well as data-driven approaches. We call this combination physics-motivated semi-empirical aging models.

    This webinar will focus on the following key topics:

    • How capacity aging model is optimized using bootstrap resampling
    • The new generation of physics-motivated semi-empirical aging models: OCV aging, degradation modes, understanding the accuracy of models, simulation of swelling force
    • The new TWAICE simulation model portfolio: base model, customized base model, premium model
    • Vision and outlook

    Presenters
    Dr. Michael Baumann – Co-CEO at TWAICE
    Lennart Hinrichs – Executive VP & GM Americas at TWAICE

    Dr. Michael Baumann is Co-CEO at TWAICE. Before founding TWAICE with Dr. Stephan Rohr, Michael completed his Ph.D. at the Technical University of Munich. Michael’s battery specific domain expertise derives from over 6 years of academic research in Harvard, Berkeley, and Singapore, into Li-ion batteries with a particular focus on the Electric-thermal modelling and prediction of aging behavior for lithium-ion batteries.

    Lennart Hinrichs is currently driving forward the commercial side of TWAICE, with a particular focus on sales and the market strategy. Lennart worked in strategy consulting, driving the business model development and go-to-market strategy in industries ranging from consumer goods to telecommunications and automotive.

    TWAICE is a proud sponsor of this event.

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