Conference article

Nonlinear Observers based on the Functional Mockup Interface with Applications to Electric Vehicles

Dirk Zimmer
German Aerospace Center (DLR) Oberpfaffenhofen, Insitute of Robotics and Mechatronics, Germany

Jonathan Brembeck
German Aerospace Center (DLR) Oberpfaffenhofen, Insitute of Robotics and Mechatronics, Germany

Martin Otter
German Aerospace Center (DLR) Oberpfaffenhofen, Insitute of Robotics and Mechatronics, Germany

Download articlehttp://dx.doi.org/10.3384/ecp11063474

Published in: Proceedings of the 8th International Modelica Conference; March 20th-22nd; Technical Univeristy; Dresden; Germany

Linköping Electronic Conference Proceedings 63:53, p. 474-483

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Published: 2011-06-30

ISBN: 978-91-7393-096-3

ISSN: 1650-3686 (print), 1650-3740 (online)

Abstract

At DLR; an innovative electric vehicle is being developed that requires advanced; nonlinear control systems for proper functioning. Once central aspect is the use of nonlinear observers for several modules. A generic concept was developed and implemented in a prototype to automatically generate a nonlinear observer model in Modelica; given a contiuous (usually nonlinear) Modelica model of the physical system to be observed. The approach is based on the Functional Mockup Interface (FMI); by exporting the model in FMI format and importing it again in a form that enables the application of different observer designs; like EKF and UKF nonlinear Kalman Filters. The approach is demonstrated at hand of an observer for nonlinear battery model of the elctric vehicle of DLR.

Keywords

FMI; FMU; Kalman Filter; EKF; UKF

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