Chenjie Lin

Prediction of Acoustic Noise in Switched Reluctance Motor Drives

Prediction of acoustic noise distribution generated by electric machines has become an integral part of design and control in noise sensitive applications. This paper presents a fast and precise acoustic noise imaging technique for switched reluctance machines (SRMs). This method is based on distribution of radial vibration in the stator frame of the SRM. Radial vibration of the stator frame, at a network of probing points, is computed using input phase current and phase voltage waveforms. Sequentially, the acceleration of the probing network will be expanded to predict full acceleration on the stator frame surface, using which acoustic noise emission caused by the stator can be calculated using the boundary element method.

Prediction of Radial Vibration in Switched Reluctance Machines

Origins of vibration in switched reluctance machines (SRMs) are investigated. Accordingly, an input-output model based on the mechanical impulse response of the SRM is developed. The proposed model is derived using an experimental approach. Using the proposed approach, vibration of the stator frame is captured and experimentally verified.

An Extended Field Reconstruction Method for Modeling of Switched Reluctance Machines

This paper presents an extended Field Reconstruction Method (FRM) to model a Switched Reluctance Machine (SRM), which is set apart from other electric machines by its double-saliency and magnetic saturation. Traditional magnetic models of SRM developed using Finite Element Analysis (FEA) are computationally inefficient. This, in turn, limits their application in simulation of SRM drive system especially under iterative optimization procedures. FRM can significantly reduce the computational time by utilizing a small number of static magnetic field snapshots to establish the basis functions which are then used to reconstruct the magnetic field with high accuracy. In this paper an extended version of FRM is introduced within which effects of magnetic saturation and double saliency are taken into account. Results from FRM, FEA and experiments are compared and good accuracy is observed.

Comparative analysis of Double Stator Switched Reluctance Machine and Permanent Magnet Synchronous machine

High torque density Permanent Magnet machine are widely used in practice. However, the rising cost of high energy rare earth permanent magnet material stimulates the needs for electrical machines using less or no permanent magnet. Double Stator Switched Reluctance Machine is a novel high torque density reluctance machine. This paper provides a comparison between surface mount Permanent Magnet Synchronous Machine and Double Stator Switched Reluctance Machine. Their generated electromagnetic force components are investigated. Torque density and material cost are compared via case study.

Optimal design of double stator switched reluctance machine (DSSRM)

Aerospace, automotive and other industrial drive systems require low cost, high torque/power density machines. The double stator switched reluctance machine (DSSRM) is a recently invented switched reluctance machine. It has very high torque density due to unique magnetic flux path design and machine structure. A 50 kW version of DSSRM has been designed and manufactured; this paper introduces the optimization process of the new design, based on this optimization special considerations are obtained for general design cases.

Thermal Modeling and Analysis of a Double-Stator Switched Reluctance Motor

In this paper, thermal modeling and analysis of a 10 kW double-stator switched reluctance machine (DSSRM) is presented. Thermal management is an essential step of the machine design, since overheated windings and cores might destroy the insulation and lead to failure of the machine. A three-dimensional (3-D) finite-element method (FEM) has been used to numerically calculate the temperature distribution in different parts of the machine. Furthermore, to include the use of water as coolant, computational fluid dynamics (CFD) has been utilized. Thermal performance of the prototype is then analyzed at various load conditions. A 10 kW prototype of the DSSRM has been built and the results have been experimentally verified.

Efficient multiphysics modelling of vibration and acoustic noise in switched reluctance motor drives

Acoustic noise has been reported as a major problem in Switched Reluctance Machines (SRMs) for noise sensitive applications. This issue has drawn significant attention over the past decades. In this paper, a numerical method used to predict vibration with high computational efficiency is introduced. The accuracy of this method is demonstrated by the comparison of the calculated results and the multiphysics Finite Element Analysis (FEA) simulation. Finally, based on this method, a fast process for the optimal design of the stator frame is proposed to reduce the vibration and acoustic noise in SRMs.

The sustainability of new technologies in vehicular transportation

This paper compares the sustainability of three new technologies in vehicular transportation which consist of (1) innovations in the fuel the vehicles use and (2) innovations in the vehicle design itself. An array of vehicle platforms, which consist of different vehicle designs and fuels types, are modeled and a life cycle analysis (LCA) is performed to find the total energy consumption and emissions of each model. As high energy consumption and pollution become growing concerns, this paper aims to provide a better understanding of where new advancements in vehicular technology should be focused.

Reduction of torque ripple in Switched Reluctance Motor drives using Field Reconstruction Method

High grade torque control in Switched Reluctance Motors (SRM) is a key element in successful integration of this family of adjustable speed motor drives in automotive applications. Mitigation of torque pulsation in SRM drives using optimization of phase currents which are obtained from Finite Element (FE) analysis has been attempted in the past. However, long computation time of FE analysis prohibits an efficient optimization in real time. This paper incorporates an extended Field Reconstruction Method (FRM) which provides a quick and precise numerical tool for optimization purposes. Simulation and experimental results are presented to validate the claims.

Design considerations for reduction of acoustic noise in switched reluctance drives

Acoustic noise in Switched Reluctance Machines (SRMs) is reported as a major problem for noise sensitive applications. This issue has drawn significant attention over the past decades. In this paper, a numerical method is used to calculate vibration with high computational efficiency. Based on this method, general design considerations regarding reduction of acoustic noise in Switched Reluctance Drives are demonstrated and are supported with simulation and experimental results.