SCCER Mobility Webinar Series

Daniel Luder, former Master’s student at BFH, presents his thesis on “Accurate State Estimation of Lithium-Ion Batteries using Physics-Based Models”.

01.10.2020, 11:15-12:00 o'clock – Zoom

Accurate State Estimation of Lithium-Ion Batteries using Physics-Based Models

The increasing energy and power density of lithium-ion batteries introduced electric vehicles (EV) to the mass market. Besides the lithium-ion cells, the battery management system (BMS) with its battery models and algorithms has become a core component of the entire battery system. This webinar focuses on a new method by using pseudo-2D physics-based battery models based on theories of porous electrodes and concentrated solutions with the advantage of expressing electrochemical meaningful states within the cell that are essential for fast charging and degradation minimization approaches. It is shown how the most sensitive model parameters can be identified for a commercial lithium-ion cell by microstructure analysis and multi-objective model optimization. The model is validated with drive cycles as they occur in EVs revealing a RMSE smaller than 18mV on average over the full state of charge (SOC). Finally, it is shown how the battery model can be combined with a Kalman Filter and implemented on embedded systems using model-based design (MBD).

Daniel Luder recently finished his Master’s degree and is currently working at evolaris aviation GmbH and ALGOnovum GmbH.

Daniel Luder
Daniel Luder

Yount Talent Development Program

This series is part of the Young Talent Development Program and a platform for young scientists in our community to present their ongoing SCCER Mobility-related projects and to improve connectivity between the different groups and locations. If you would like to watch previous webinars, visit the ETH Video Portal (login: sccer-18w, password: 57tP2sM).

Or dial in: +41 (0) 22 518 9006 or +41 (0) 31 528 0988, Webinar ID: 558 338 954


  • Start date 01.10.2020, 11:15-12:00 o'clock
  • Place Zoom