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C. Hametner, S. Jakubek, W. Prochazka:
"Data-driven design of a cascaded observer for battery state of health estimation";
Vortrag: 4th IEEE International Conference on Sustainable Energy Technologies, Hanoi, Vietnam; 14.11.2016 - 16.11.2016; in: "Proceedings of the 4th IEEE International Conference on Sustainable Energy Technologies", (2016), S. 162 - 167.

The design of an observer for battery state of charge
(SoC) and state of health (SoH) using data-driven models is
addressed. SoH estimation is an important issue in battery management
system design for (hybrid) electrical vehicles. Without
SoH correction, the accuracy of the SoC indication system will
decrease progressively with battery age/degradation. In order to
take the battery degradation into account, ageing data analysis
using data-driven models and the associated model adaptation
is addressed. Furthermore, a cascaded observer structure for
combined SoC and SoH estimation is presented and preliminary
results using real measurement data demonstrate the performance
of the proposed concepts.