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Energy Optimal Switching Frequency for a 750V Metro Traction Drive Using Silicon Carbide MOSFET Inverter
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems. Bombardier Transportation, Västerås, Sweden.ORCID iD: 0000-0002-5766-4356
Bombardier Transportation, Västerås, Sweden.
Bombardier Transportation, Västerås, Sweden.
Mälardalen University, School of Business, Society and Engineering, Future Energy Center.ORCID iD: 0000-0002-7233-6916
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2018 (English)In: Energy Optimal Switching Frequency for a 750V Metro Traction Drive Using Silicon Carbide MOSFET Inverter, 2018Conference paper, Poster (with or without abstract) (Refereed)
Abstract [en]

The introduction of Silicon Carbide (SiC) MOSFET based inverters into the traction drive makes it possible to increase the inverter switching frequency and reduce energy consumption. This paper describes how to model switching frequency dependent losses in the traction drive and compares the calculated losses to measurements done on a newly developed SiC MOSFET based traction drive. The results from the developed loss models of motor and inverter agrees well with the results from energy measurements. This paper concludes that the energy use of the traction motor and inverter can be simulated well using simple models where skin-effect losses in the motor are modelled in detailed. This paper also concludes that in terms of energy efficiency, the optimal switching frequency using a SiC MOSFET based inverter, is in the range of 3-6 kHz.

Place, publisher, year, edition, pages
2018.
National Category
Control Engineering
Identifiers
URN: urn:nbn:se:mdh:diva-42582OAI: oai:DiVA.org:mdh-42582DiVA, id: diva2:1286085
Conference
10th International Conference on Applied Energy (ICAE2018), 22-25 August 2018, Hong Kong, China
Available from: 2019-02-06 Created: 2019-02-06 Last updated: 2023-12-11Bibliographically approved
In thesis
1. Energy efficient control of motors and inverters
Open this publication in new window or tab >>Energy efficient control of motors and inverters
2024 (English)Licentiate thesis, comprehensive summary (Other academic)
Abstract [en]

The purpose of this licentiate thesis is to research a few key concepts which are important in the development of high efficiency electric drives. The selected research method is quantitative, the raw data have been collected from real world measurements, both from powerlab and from train. The data is analysed and the results are presented in the thesis and associated papers.

The paper in this thesis describes and evaluates the impact of SiC MOSFET inverters on the traction drive. Furthermore, the papers go into depth about losses within the traction drive and how the electromagnetic noise depends on both the inverter switching frequency and pulse width modulation method. In the papers, results from low fidelity models of both losses and noise are presented, these models offer greater insight into the mechanism behind both losses and electromagnetic noise. Understanding how the motor harmonic losses depends on the current distribution in conductors, can contribute to improved designs of both motors and inverters. An understanding of how electromagnetic noise increases when voltage harmonics coincide with the mechanical modes of resonance of the electric motor, can further contribute to improved designs of both inverters and motors.

The thesis concludes that when SiC based MOSFETs inverters makes its debut into everyday trains, we can expect significant increases in energy efficiency as well as significantly reductions in electromagnetic noise.

Place, publisher, year, edition, pages
Västerås: Mälardalen university, 2024
Series
Mälardalen University Press Licentiate Theses, ISSN 1651-9256 ; 351
National Category
Control Engineering
Research subject
Energy- and Environmental Engineering
Identifiers
urn:nbn:se:mdh:diva-64955 (URN)978-91-7485-627-9 (ISBN)
Presentation
2024-01-10, Lambda, Mälardalens universitet, Västerås, 09:00 (English)
Opponent
Supervisors
Available from: 2023-12-11 Created: 2023-12-07 Last updated: 2023-12-20Bibliographically approved

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Dahlquist, ErikMaher, Azaza

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