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Showing 2 results for Optimal Design
Inner Permanent Magnet Synchronous Machine Optimization for HEV Traction Drive Application in Order to Achieve Maximum Torque per Ampere
J. Soleimani, A. Vahedi, S. M Mirimani,
Volume 7, Issue 4 (12-2011)
Abstract
Recently, Inner permanent magnet (IPM) synchronous machines have been introduced as a possible traction motor in hybrid electric vehicle (HEV) and traction applications due to their unique merits. In order to achieve maximum torque per ampere (MTPA), optimization of the motor geometry parameters is necessary. This paper Presents a design method to achieve minimum volume, MTPA and minimum value of cogging torque for traction IPM synchronous machines and simulation in order to extract the output values of motor is done using 3D-Finite Element Model, that has high level of accuracy and gives us a better insight of motor performance. Then presents back EMF, power factor, cogging torque, Flux density, torque per ampere diagram, CPSR (constant power speed ratio), torque per speed diagram in this IPM synchronous machine. This study can help designers in design approach of such motors.

Rotor Design of IPMSM Traction Motor Based on Multi- Objective Optimization using BFGS Method and Train Motion Equations
S. Ahmadi, A. Vahedi,
Volume 11, Issue 3 (9-2015)
Abstract

In this paper a multiobjective optimal design method of interior permanent magnet synchronous motor ( IPMSM) for traction applications so as to maximize average torque and to minimize torque ripple has been presented. Based on train motion equations and physical properties of train, desired specifications such as steady state speed, rated output power, acceleration time and rated speed of traction motor are related to each other. By considering the same output power, steady state speed, rated voltage, rated current and different acceleration time for a specified train, multiobjective optimal design has been performed by Broyden–Fletcher–Goldfarb–Shanno (BFGS) method and finite element method (FEM) has been chosen as an analysis tool. BFGS method is one of Quasi Newton methods and is counted in classic approaches. Classic optimization methods are appropriate when FEM is applied as an analysis tool and objective function isn’t expressed in closed form in terms of optimization variables.

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