Lithium-ion battery modelling: An engineering approach

Add to your list(s) Download to your calendar using vCal

• Dhammika Widanalage, University of Warwick.
• Wednesday 04 December 2019, 14:00-15:00
• Metallurgy and Materials, GC13.

If you have a question about this talk, please contact Andrew Morris.

Over the last several years there has been a transition of modelling lithium-ion batteries from data-driven approaches to multi-physics and multi-length scale approaches. There are benefi􏰁ts and drawbacks in either approach, however, the predictability of multi-physics methods are taking preference over data-driven methodologies which off􏰀er simpler computational models.

I will demonstrate how data-driven methods, and in particular in the frequency domain, can be used to infer battery behaviour and instances where physics-based approaches outperforms predicting longer term e􏰀ffects such as battery ageing. The presentation will highlight how both methodologies are crucial and research towards combination of the two is what is required.

This talk is part of the School of Metallurgy and Materials Colloquia series.

This talk is included in these lists:

• Metallurgy and Materials, GC13
• School of Metallurgy and Materials Colloquia

Note that ex-directory lists are not shown.