Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Christoph Unterrieder"'
Autor:
Marc Kanzian, Harald Gietler, Christoph Unterrieder, Mario Huemer, Hubert Zangl, Robert Priewasser, Andreas Berger
Publikováno v:
IEEE Transactions on Industrial Electronics. 67:7898-7908
This article introduces a fast and low-complexity natural frequency estimation concept for power converters, enabling their adaptive control. Neither a high-resolution analog-to-digital converter nor complex arithmetic operations, such as multiplicat
Autor:
Harald Gietler, Christoph Unterrieder, Marc Kanzian, Mario Huemer, Michael Lunglmayr, Matteo Agostinelli
Publikováno v:
IEEE Transactions on Industry Applications. 55:2076-2087
The importance of online system identification (SI) in power electronics is ever increasing. It enables the tracking of system parameters, which in turn can be used for online controller tuning. Hence, SI is a key element for improving a converter's
Autor:
Michael Lunglmayr, Stefano Marsili, Mario Huemer, Christoph Unterrieder, C. Zhang, Robert Priewasser
Publikováno v:
Journal of Power Sources. 278:274-286
In recent years, much effort has been spent to extend the runtime of battery-powered electronic applications. In order to improve the utilization of the available cell capacity, high precision estimation approaches for battery-specific parameters are
Publikováno v:
2017 IEEE Applied Power Electronics Conference and Exposition (APEC).
Online system identification provides the possibility to track system changes and thus is the basis for successive adaption of control parameters. This paper introduces a concept for fast, efficient and accurate coefficient estimation of time-discret
Publikováno v:
IEEE Transactions on Power Electronics. 29:287-301
In this paper, novel small-signal averaged models for dc-dc converters operating at variable switching frequency are derived. This is achieved by separately considering the on-time and the off-time of the switching period. The derivation is shown in
Publikováno v:
EUSIPCO
Recently, we proposed approximate least squares (ALS), a low complexity approach to solve the linear least squares problem. In this work we present the step-adaptive linear least squares (SALS) algorithm, an extension of the ALS approach that signifi
Publikováno v:
ISCAS
A reliable knowledge of cell parameters like the state-of-charge (SoC) is essential for the optimization of battery-powered applications. Usually, during relaxation (the phase of no or low loads) the SoC is determined based on the measurement of the
Publikováno v:
ICASSP
We present a novel iterative algorithm for approximating the linear least squares solution with low complexity. After a motivation of the algorithm we discuss the algorithm's properties including its complexity, and we present theoretical results as
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3d9c28e9da793aa9986b4a02d256b9cc
http://arxiv.org/abs/1312.3134
http://arxiv.org/abs/1312.3134
Battery State Estimation Using Mixed Kalman/Hinfinity, Adaptive Luenberger and Sliding Mode Observer
Publikováno v:
2013 IEEE Vehicle Power and Propulsion Conference (VPPC).
For electric vehicles, the improvement of the range of miles and with it the utilization of the available cell/battery capacity has become an important research focus in the community. For optimization of the same, an accurate knowledge of internal c
Publikováno v:
2013 IEEE Vehicle Power and Propulsion Conference (VPPC).
The tracking of the internal states of a battery such as the state-of-charge (SoC) is a substantive task in battery management systems. In general, batteries are represented as linear or non-linear mathematical models. The extended Kalman filter (EKF