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Nejila Parspour

Researcher at University of Stuttgart

Publications -  153
Citations -  884

Nejila Parspour is an academic researcher from University of Stuttgart. The author has contributed to research in topics: Computer science & Torque. The author has an hindex of 12, co-authored 121 publications receiving 592 citations. Previous affiliations of Nejila Parspour include University of Bremen.

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Journal ArticleDOI

Torque Ripple Minimization Using Online Estimation of the Stator Resistances With Consideration of Magnetic Saturation

TL;DR: A novel scheme for torque ripple minimization using online estimation of unbalanced stator resistances of a permanent-magnet synchronous motor using a sensitivity analysis and a compensation scheme in the stationary reference frame is proposed.
Proceedings ArticleDOI

Laminated circumferential transverse flux machines - lamination concept and applicability to electrical vehicles

TL;DR: In this paper, the authors presented a lamination concept for transverse flux machines, which can be easily plugged together and can be applied to several transverse magnet topologies like reluctance type as well as surface mounted and flux collecting topologies.
Proceedings ArticleDOI

Design of a 3 kW primary power supply unit for inductive charging systems optimized for the compatibility to receiving units with 20 kw rated power

TL;DR: In this paper, a power unit for use in the primary side of 3 kW rated inductive charging system is presented, which is compatible to 20 kW rated secondary side receiving units inside electric vehicles.
Proceedings ArticleDOI

Transverse flux machine for direct drive robots: modelling and analysis

TL;DR: A new analytical model for high-torque and low-speed transverse flux machines with flux collecting permanent magnet type based on approximating the permeance in the air gap between rotor and stator using quasi-flux tubes with boundaries determined by straight lines and semicircular segments is presented.
Proceedings ArticleDOI

Reducing the cogging torque of PM Transverse Flux Machines by discrete skewing of a segmented stator

TL;DR: In this article, a new optimization method for reducing cogging in PMTFMs is introduced, which uses discrete skewing of a segmented stator to achieve higher torque densities than conventional PMLFMs.