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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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