Vorträge und Posterpräsentationen (mit Tagungsband-Eintrag):

C. Hametner, S. Jakubek:
"Fuzzy Observer Design for Local Model Network based Battery State of Charge Estimation";
Vortrag: 21st Mediterranean Conference on Control & Automation, Platanias-Chania, Crete, Greece; 25.06.2013 - 28.06.2013; in: "Proceedings of the 21st Mediterranean Conference on Control & Automation", (2013), ISBN: 978-1-4799-0995-7; S. 265 - 270.

Kurzfassung englisch:
The correct determination of the state of charge
(SoC) is an important task in hybrid electrical vehicles. In
this paper, a systematic approach to state of charge estimator
design using the fuzzy observer architecture is presented. The
nonlinear observer is based on a dynamic battery model which
describes the nonlinear system behaviour of the cell terminal
voltage in dependance of the charge/discharge current. In this
paper, a purely data driven modelling approach is chosen in
order to to enable the application for any type of battery
chemistry. The proposed local model network (LMN) is shortly
reviewed, an augmented state space representation of the LMN
is derived and the nonlinear observer design and parametrisation
is presented. In combination with LMNs, the architecture of
the fuzzy observer helps to reduce the computational complexity
of the global nonlinear filter significantly. Each of the local
models in an LMN is a linear time-invariant dynamic system.
The global filter is then derived from a linear combination of
the local filters. The proposed concepts for SoC estimation are
validated experimentally by means of a Lithium Ion power cell.

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