Multi-Objective Optimization Design of In-Wheel Switched Reluctance Motors in Electric Vehicles

Xue, Xiao; Cheng, Ka Wai Eric; Ng, T. W.; Cheung, N.C.

doi:10.1109/tie.2010.2051390

Cited by 270 publications

(118 citation statements)

References 22 publications

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“…Electric motors dedicated to electric cars motorization, is a current project against the advantages of the electric motors compared to their thermal equivalent engines to knowledge [1,2].…”

Section: Introductionmentioning

confidence: 99%

“…In this context, we provide a control strategy for an innovated structure of a three phase's synchronous motor with variable reluctance minimizing vibrations acting on the shapes of the supply currents by pulse width modulation with reduced switching frequency, to reduce the losses in the power converter. This control technique is suitable for a systemic design and modelling program of this structure of three phase's switching synchronous motor [1,2].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Modelling and Control of Three Phase Switching Synchronous Motor Dedicated to Electric Cars

Tounsi¹

2017

IJECEC

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Abstract:In this paper, we present a design and control methodology of an innovated structure of three phases switching synchronous motor. The design process is based on analytical method taking in account of the interactions between the control algorithm and the design program. The control strategy is based on the pulse width modulation technique imposing currents sum of a continuous value and a value having a shape varying in phase opposition with respect to the variation of the inductances. This control technology can greatly reduce vibration of the entire system due to the strong fluctuation of the torque developed by the engine, generally characterizing switching synchronous motors. Subsequently, a systemic design and control program is developed. This program is validated following the implementation and the simulation of the control model in the simulation environment Matlab-Simulink. Simulation results are with good scientific level and encourage subsequently the industrialization of the global system.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Modelling and Control of Three Phase Switching Synchronous Motor Dedicated to Electric Cars

Tounsi¹

2017

IJECEC

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“…With the increasing development of the electric vehicles (EVs), the outer-rotor in-wheel motors have been considered as one of the promising candidates because they can offer the potential superior features of quick torque response, weight reduction, and compact vehicle space [1][2][3][4].…”

Section: Introductionmentioning

confidence: 99%

Electromagnetic Performances Evaluation of an Outer-Rotor Flux-Switching Permanent Magnet Motor Based on Electrical-Thermal Two-Way Coupling Method

Shu¹,

Zhu²,

Li³

et al. 2017

Preprint

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Flux-switching permanent magnet (FSPM) motors have gained increasing attention in the electric vehicles (EVs) applications due to the advantages of high power density, high efficiency. However, the heat sources of both permanent magnet (PM) and armature winding are located on the limited stator space in the FSPM motors, which may result in the PM overheated and irreversible demagnetization caused by temperature rise and it is often ignored in the conventional thermal analysis. In this paper, a new electrical-thermal two-way coupling design method is proposed to analyze the electromagnetic performances, where the change of PM material characteristics under different temperatures is taken into consideration. Firstly, the motor topology and design equations are introduced. Secondly, the demagnetization curves of PM materials under different temperatures are modeled due to PM materials are sensitive to the temperature. And based on the electrical-thermal two-way coupling method, the motor performances are evaluated in details, such as the load PM flux linkage and output torque. Then, the motor is optimized, and the electromagnetic performances between initial and improved motors are compared. Finally, a prototype motor is manufactured, and the results are validated by experimental measurements.

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“…Moreover, an optimization processor was usually coupled with a finite-element analysis (FEA) solver for the machine design optimization, which has a high computational cost. Design of experiments (DoE) [1]- [2], [7]- [12] and stochastic evolutionary methods [13]- [15] are two popular techniques employed for electric machine design optimization. DoE is a statistical method that effectively quantifies the effects of changes in design variables on machine responses.…”

mentioning

confidence: 99%

“…DoE is a statistical method that effectively quantifies the effects of changes in design variables on machine responses. The one-factor-at-atime (OFAT) method, a method of DoE, was used to optimize SRMs with only two design variables for electric vehicle applications [7]. The OFAT method will become impractical when more design variables are considered, because the number of experiments increases exponentially with the number of design variables.…”

mentioning

confidence: 99%

Multiobjective Optimization of Switched Reluctance Motors Based on Design of Experiments and Particle Swarm Optimization

2015

IEEE Trans. Energy Convers.

194

118

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Abstract-This paper proposes a comprehensive framework for multiobjective design optimization of switched reluctance motors (SRMs) based on a combination of the design of experiments and particle swarm optimization (PSO) approaches. First, the definitive screening design was employed to perform sensitivity analyses to identify significant design variables without bias of interaction effects between design variables. Next, optimal third-order response surface (RS) models were constructed based on the Audze-Eglais Latin hypercube design using the selected significant design variables. The constructed optimal RS models consist of only significant regression terms, which were selected by using PSO. Then, a PSObased multiobjective optimization coupled with the constructed RS models, instead of the finite-element analysis, was performed to generate the Pareto front with a significantly reduced computational cost. A sample SRM design with multiple optimization objectives, i.e., maximizing torque per active mass, maximizing efficiency, and minimizing torque ripple, was conducted to verify the effectiveness of the proposed optimal design framework.Index Terms-Design of experiments (DoE), multiobjective optimization, particle swarm optimization (PSO), response surface (RS), sensitivity analysis, switched reluctance motor (SRM).

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Multi-Objective Optimization Design of In-Wheel Switched Reluctance Motors in Electric Vehicles

Cited by 270 publications

References 22 publications

Modelling and Control of Three Phase Switching Synchronous Motor Dedicated to Electric Cars

Modelling and Control of Three Phase Switching Synchronous Motor Dedicated to Electric Cars

Electromagnetic Performances Evaluation of an Outer-Rotor Flux-Switching Permanent Magnet Motor Based on Electrical-Thermal Two-Way Coupling Method

Multiobjective Optimization of Switched Reluctance Motors Based on Design of Experiments and Particle Swarm Optimization

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