---
_id: '33508'
abstract:
- lang: eng
  text: In this work, methods will be evaluated to numerically calculate the passive
    electrical parameters of planar coils. These parameters can then be used to optimize
    inductive applications such as wireless power transmission. The focus here will
    be on inductive localization, which uses high-frequency magnetic fields and the
    resulting induced voltage to provide localization through the coupling parameter
    mutual inductance. To achieve localization with high accuracy and best possible
    operation (resonance, signal strength, etc.), the coil parameters need to be well
    known. For this reason, some numerical methods for the calculation of these quantities
    are presented and validated. In addition, the physical effects are thereby considered
    in more detail, allowing the localization procedure to be better optimized compared
    to simulative black-box methods. The goal should be a dedicated simulation platform
    for planar coils to be able to develop training data for neural networks and to
    test and optimize localization algorithms.
author:
- first_name: Sven
  full_name: Lange, Sven
  id: '38240'
  last_name: Lange
- first_name: Christian
  full_name: Hedayat, Christian
  last_name: Hedayat
- first_name: Harald
  full_name: Kuhn, Harald
  last_name: Kuhn
- first_name: Ulrich
  full_name: Hilleringmann, Ulrich
  last_name: Hilleringmann
citation:
  ama: 'Lange S, Hedayat C, Kuhn H, Hilleringmann U. Modeling and Characterization
    of a 3D Environment for the Design of an Inductively Based Locating Method by
    Coil Couplings. In: <i>2022 Smart Systems Integration (SSI)</i>. IEEE; 2022. doi:<a
    href="https://doi.org/10.1109/ssi56489.2022.9901416">10.1109/ssi56489.2022.9901416</a>'
  apa: Lange, S., Hedayat, C., Kuhn, H., &#38; Hilleringmann, U. (2022). Modeling
    and Characterization of a 3D Environment for the Design of an Inductively Based
    Locating Method by Coil Couplings. <i>2022 Smart Systems Integration (SSI)</i>.
    2022 Smart Systems Integration (SSI), Grenoble, France. <a href="https://doi.org/10.1109/ssi56489.2022.9901416">https://doi.org/10.1109/ssi56489.2022.9901416</a>
  bibtex: '@inproceedings{Lange_Hedayat_Kuhn_Hilleringmann_2022, place={Grenoble,
    France}, title={Modeling and Characterization of a 3D Environment for the Design
    of an Inductively Based Locating Method by Coil Couplings}, DOI={<a href="https://doi.org/10.1109/ssi56489.2022.9901416">10.1109/ssi56489.2022.9901416</a>},
    booktitle={2022 Smart Systems Integration (SSI)}, publisher={IEEE}, author={Lange,
    Sven and Hedayat, Christian and Kuhn, Harald and Hilleringmann, Ulrich}, year={2022}
    }'
  chicago: 'Lange, Sven, Christian Hedayat, Harald Kuhn, and Ulrich Hilleringmann.
    “Modeling and Characterization of a 3D Environment for the Design of an Inductively
    Based Locating Method by Coil Couplings.” In <i>2022 Smart Systems Integration
    (SSI)</i>. Grenoble, France: IEEE, 2022. <a href="https://doi.org/10.1109/ssi56489.2022.9901416">https://doi.org/10.1109/ssi56489.2022.9901416</a>.'
  ieee: 'S. Lange, C. Hedayat, H. Kuhn, and U. Hilleringmann, “Modeling and Characterization
    of a 3D Environment for the Design of an Inductively Based Locating Method by
    Coil Couplings,” presented at the 2022 Smart Systems Integration (SSI), Grenoble,
    France, 2022, doi: <a href="https://doi.org/10.1109/ssi56489.2022.9901416">10.1109/ssi56489.2022.9901416</a>.'
  mla: Lange, Sven, et al. “Modeling and Characterization of a 3D Environment for
    the Design of an Inductively Based Locating Method by Coil Couplings.” <i>2022
    Smart Systems Integration (SSI)</i>, IEEE, 2022, doi:<a href="https://doi.org/10.1109/ssi56489.2022.9901416">10.1109/ssi56489.2022.9901416</a>.
  short: 'S. Lange, C. Hedayat, H. Kuhn, U. Hilleringmann, in: 2022 Smart Systems
    Integration (SSI), IEEE, Grenoble, France, 2022.'
conference:
  end_date: 2022-04-28
  location: Grenoble, France
  name: 2022 Smart Systems Integration (SSI)
  start_date: 2022-04-27
date_created: 2022-10-04T11:26:11Z
date_updated: 2022-10-04T11:35:11Z
department:
- _id: '59'
- _id: '485'
doi: 10.1109/ssi56489.2022.9901416
keyword:
- Simulation Environment
- Inductive Localization
- Coil Parameters
- Inductive Applications
- Near-Field
language:
- iso: eng
main_file_link:
- url: https://ieeexplore.ieee.org/document/9901416
place: Grenoble, France
project:
- _id: '52'
  name: 'PC2: Computing Resources Provided by the Paderborn Center for Parallel Computing'
publication: 2022 Smart Systems Integration (SSI)
publication_identifier:
  eisbn:
  - 978-1-6654-8849-5
publication_status: published
publisher: IEEE
status: public
title: Modeling and Characterization of a 3D Environment for the Design of an Inductively
  Based Locating Method by Coil Couplings
type: conference
user_id: '38240'
year: '2022'
...
---
_id: '22532'
abstract:
- lang: eng
  text: In this publication, further elements of the newly developed inductive localization
    in the near field are presented. The advantage of inductive localization is the
    usage of the magnetic fields, which have a very low influence of non-metallic
    materials in the environment and thus follows good applications in the area of
    medicine and biochemistry. This allows a precise localization of sensor platforms
    in inhomogeneous mixtures of materials, where classical methods have major problems
    with inhomogeneous dielectric conductivity or density. The calculation of the
    localization of the searched object differs from other methods such as ultrasound
    or electromagnetic waves due to the source-free propagation of the magnetic field.
    Therefore, new mathematical evaluation methods and systematic adaptations are
    necessary, which are presented in this paper in circuit analysis. For this purpose,
    the exact circuit influences of one coil and the influence of another coil are
    investigated and which resonance circuit should be selected for both coils for
    a inductive localization with optimized signal strength.
author:
- first_name: Sven
  full_name: Lange, Sven
  id: '38240'
  last_name: Lange
- first_name: Christian
  full_name: Hedayat, Christian
  last_name: Hedayat
- first_name: Harald
  full_name: Kuhn, Harald
  last_name: Kuhn
- first_name: Ulrich
  full_name: Hilleringmann, Ulrich
  last_name: Hilleringmann
citation:
  ama: 'Lange S, Hedayat C, Kuhn H, Hilleringmann U. Adaptation and Optimization of
    Planar Coils for a More Accurate and Far-Reaching Magnetic Field-Based Localization
    in the Near Field. In: <i>2021 Smart Systems Integration (SSI)</i>. Grenoble,
    France: IEEE; 2021. doi:<a href="https://doi.org/10.1109/ssi52265.2021.9466958">10.1109/ssi52265.2021.9466958</a>'
  apa: 'Lange, S., Hedayat, C., Kuhn, H., &#38; Hilleringmann, U. (2021). Adaptation
    and Optimization of Planar Coils for a More Accurate and Far-Reaching Magnetic
    Field-Based Localization in the Near Field. In <i>2021 Smart Systems Integration
    (SSI)</i>. Grenoble, France: IEEE. <a href="https://doi.org/10.1109/ssi52265.2021.9466958">https://doi.org/10.1109/ssi52265.2021.9466958</a>'
  bibtex: '@inproceedings{Lange_Hedayat_Kuhn_Hilleringmann_2021, place={Grenoble,
    France}, title={Adaptation and Optimization of Planar Coils for a More Accurate
    and Far-Reaching Magnetic Field-Based Localization in the Near Field}, DOI={<a
    href="https://doi.org/10.1109/ssi52265.2021.9466958">10.1109/ssi52265.2021.9466958</a>},
    booktitle={2021 Smart Systems Integration (SSI)}, publisher={IEEE}, author={Lange,
    Sven and Hedayat, Christian and Kuhn, Harald and Hilleringmann, Ulrich}, year={2021}
    }'
  chicago: 'Lange, Sven, Christian Hedayat, Harald Kuhn, and Ulrich Hilleringmann.
    “Adaptation and Optimization of Planar Coils for a More Accurate and Far-Reaching
    Magnetic Field-Based Localization in the Near Field.” In <i>2021 Smart Systems
    Integration (SSI)</i>. Grenoble, France: IEEE, 2021. <a href="https://doi.org/10.1109/ssi52265.2021.9466958">https://doi.org/10.1109/ssi52265.2021.9466958</a>.'
  ieee: S. Lange, C. Hedayat, H. Kuhn, and U. Hilleringmann, “Adaptation and Optimization
    of Planar Coils for a More Accurate and Far-Reaching Magnetic Field-Based Localization
    in the Near Field,” in <i>2021 Smart Systems Integration (SSI)</i>, Grenoble,
    France , 2021.
  mla: Lange, Sven, et al. “Adaptation and Optimization of Planar Coils for a More
    Accurate and Far-Reaching Magnetic Field-Based Localization in the Near Field.”
    <i>2021 Smart Systems Integration (SSI)</i>, IEEE, 2021, doi:<a href="https://doi.org/10.1109/ssi52265.2021.9466958">10.1109/ssi52265.2021.9466958</a>.
  short: 'S. Lange, C. Hedayat, H. Kuhn, U. Hilleringmann, in: 2021 Smart Systems
    Integration (SSI), IEEE, Grenoble, France, 2021.'
conference:
  end_date: 2021-04-29
  location: 'Grenoble, France '
  name: 2021 Smart Systems Integration (SSI)
  start_date: 2021-04-27
date_created: 2021-07-05T19:31:52Z
date_updated: 2022-01-06T06:55:36Z
department:
- _id: '59'
- _id: '485'
doi: 10.1109/ssi52265.2021.9466958
keyword:
- Electrotechnical Characteristics of Real Coils
- Inductive Localization
- Resonant Circuit
- Mutual Inductance
- Near-Field
language:
- iso: eng
main_file_link:
- url: https://ieeexplore.ieee.org/document/9466958
place: Grenoble, France
publication: 2021 Smart Systems Integration (SSI)
publication_identifier:
  isbn:
  - '9781665440929'
publication_status: published
publisher: IEEE
status: public
title: Adaptation and Optimization of Planar Coils for a More Accurate and Far-Reaching
  Magnetic Field-Based Localization in the Near Field
type: conference
user_id: '38240'
year: '2021'
...