A new generation of aging models for lithium-ion batteries

Over the last 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.The webinar will cover the following topics:

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

Here's a brief overview of the three models we offer:

• Base Model: This chemistry-specific cell model leverages data from TWAICE's extensive battery database to provide a model for use cases where the exact cell is not yet specified.
• Customized Base Model: This model combines the base model with cell-specific data such as cell data sheets. Customers can leverage their own data & benefit from a more realistic model.
• Premium Model: This model is based on measurements conducted at TWAICE's testing facilities. This incorporates cutting-edge features for the highest possible accuracy including modeling of OCV aging, degradation modes, and swelling force.