Special Issue "Modeling, Simulation and Control of Electric Drive Systems"

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "Electric Vehicles".

Deadline for manuscript submissions: 29 February 2020.

Special Issue Editors

Prof. Dr.-Ing. Paolo Mercorelli
E-Mail Website1 Website2
Guest Editor
Institute of Product and Process Innovation, Leuphana University of Lueneburg, Germany
Interests: robotics; control systems; mechatronics; actuators; engines control; signal processing; wavelets; Kalman filter
Special Issues and Collections in MDPI journals
Prof. Dr.-Ing. Harald Aschemann
E-Mail Website
Guest Editor
Chair of Mechatronics, University of Rostock, Germany
Interests: mechatronics; physical modelling; nonlinear control and estimation; optimization
Special Issues and Collections in MDPI journals

Special Issue Information

Dear Colleagues,

It is common sense that an intelligent management of energy resources is mandatory to respect the environment and minimize the harmful side effects of energy usage. Hence, in future electric drive systems, model-based system design, intelligent control and optimization techniques, as well as learning algorithms will play a decisive role. In fact, energy optimization already represents a crucial issue in smart grid/micro-grid energy flow, renewable energy, electrical and hybrid vehicles, energy storage devices, electrical motors, and in any kind of actuators.

In addition to these aspects, also methods addressing the mechatronic design of energy-efficient drives and, moreover, their robust control in the presence of changing operating conditions, uncertainty, and disturbances are of great interest. In this sense, techniques based on concepts such as controllability and observability are welcome.

This upcoming Special Issue of Energies will address and collect papers successfully showing how the model-based control and optimization of electric drive systems can contribute to a sustainable use of energy in industrial and transport applications.

Prof. Dr.-Ing. Paolo Mercorelli
Prof. Dr.-Ing. Harald Aschemann
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Energies is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • model-based optimization
  • combinations of model-based design techniques with machine learning
  • model-based system engineering in e-mobility
  • design of drives based on controllability and observability concepts

Published Papers (1 paper)

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Research

Open AccessArticle
Parameter Equivalent Method of Stator Anisotropic Material Based on Modal Analysis
Energies 2019, 12(22), 4257; https://doi.org/10.3390/en12224257 - 08 Nov 2019
Abstract
Accurate calculation of the vibration mode and natural frequency of a motor stator is the basis for reducing motor noise and vibration. However, the stator core and winding material parameters are difficult to determine, posing issues which result in modal calculation bias. To [...] Read more.
Accurate calculation of the vibration mode and natural frequency of a motor stator is the basis for reducing motor noise and vibration. However, the stator core and winding material parameters are difficult to determine, posing issues which result in modal calculation bias. To address the problem of calibrating the stator material parameters, we developed a parameter correction method based on modal frequency. First, the stator system was simplified to build a stator system finite element model. Secondly, the relationship between modal frequency and material parameters was analyzed by finite element software, the relationship between modal frequency and material parameters was derived, and the anisotropic material parameter correction method was summarized. Finally, a modal experiment was carried out by the hammering method, and the simulation and experimental errors were within 3%, which verified the accuracy of the finite element model. The proposed correction method of anisotropic material can quickly determine the stator material parameters, and the stator core and winding anisotropic material can ensure the accuracy of the modal analysis. Full article
(This article belongs to the Special Issue Modeling, Simulation and Control of Electric Drive Systems)
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