Effect of Acoustic Noise on Optimal SynRM Design Regions

Mohammadi, Mohammad Hossain; Rahman, Tanvir; Silva, Rodrigo C. P.; Wang, B.; Chang, Kai‐Chun; Lowther, D.A.

doi:10.1109/tmag.2017.2760859

Cited by 21 publications

(9 citation statements)

References 8 publications

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“…Synchronous reluctance machine (SynRM) can be regarded as a potential candidate for alternative of PM machines in EVs/HEVs due to low cost and environmentally friendly. Different from SRMs, rotors of SynRMs are relatively complicated [48], which can be divided as axially laminated (AL) rotor [49], [50] and multi barriers (MB) [51]- [54] rotor, as shown in Fig. . SynRM with AL rotor has higher saliency ratio that can help achieve higher torque density.…”

Section: Reluctance Machinesmentioning

confidence: 99%

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A Critical Review of Emerging Technologies for Electric and Hybrid Vehicles

Lee¹,

Wang²,

Li³

et al. 2021

IEEE Open J. Veh. Technol.

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Because of the enhancing discussions on environmental protection and energy utilization, development of electric vehicles and hybrid electric vehicles (EVs/HEVs) has become a hot research topic. In the last few decades, there are numerous technologies developed for EV/HEV applications, while a comprehensive review of these emerging technologies is of high paramount. In this paper, the key research topics in area of EVs/HEVs, namely electrical machines, electrochemical energy sources, wireless charging infrastructure, and latest EV/HEV models, are covered. This paper aims to consolidate the key emerging technologies in this field and provide the readers a blueprint to begin their own journeys.

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Section: Reluctance Machinesmentioning

confidence: 99%

“…The optimization of machine topology is studied in [50], [51], and the effect of saturation is considered in [52], [53]. The acoustics issue by torque ripple is optimized in [54]. In short, SynRM consists of some inherent problems and its application in EVs/HEVs is still in the developing stage.…”

Section: Reluctance Machinesmentioning

confidence: 99%

A Critical Review of Emerging Technologies for Electric and Hybrid Vehicles

Lee¹,

Wang²,

Li³

et al. 2021

IEEE Open J. Veh. Technol.

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“…Then, a 3 D structural modal analysis was performed to evaluate the natural frequencies, f s , of the stator in accordance with the most sensitive audible frequency range of humans (2-6kHz). Based on the approach in Mohammadi et al (2018b)), P n harmonics, in tandem with f s are used as input to an acoustic model to compute the stator vibrations and, ultimately, sound pressure levels, P SL , in decibels (dB). Figure 4 encapsulates the basic machine topology along with its design variables, and the simulation process; Figure 5 shows the variations of the first two vibration modes of the stator as the temperature is changed over all the parameter variations.…”

Section: Coupled Electromagnetic-mechanical-thermal-acoustic Analysismentioning

confidence: 99%

Design tools for electromagnetic-driven multi-physics systems using high performance computing

Lowther¹,

Ghorbanian²,

Mohammadi³

et al. 2019

COMPEL

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Purpose The design of electromagnetic systems for a variety of applications such as induction heating, electrical machines, actuators and transformers requires the solution of a multi-physics problem often involving thermal, structural and mechanical coupling to the electromagnetic system. This results in a complex analysis system embedded within an optimization process. The appearance of high-performance computing systems over the past few years has made coupled simulations feasible for the design engineer. When coupled with surrogate modelling techniques, it is possible to significantly reduce the wall clock time for generating a complete design while including the impact of the multi-physics performance on the device. Design/methodology/approach An architecture is proposed for linking multiple singe physics analysis tools through the material models and a controller which schedules the execution of the various software tools. The combination of tools is implemented on a series of computational nodes operating in parallel and creating a “super node” cluster within a collection of interconnected processors. Findings The proposed architecture and job scheduling system can allow a parallel exploration of the design space for a device. Originality/value The originality of the work derives from the organization of the parallel computing system into a series of “super nodes” and the creation of a materials database suitable for multi-physics interactions.

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“…The issues with acoustic noise have been studied extensively, and a survey of literature (Gieras et al , 2005; Al Nahlaoui et al , 2011) covers most of the important aspects up to date. While many of these works try to reduce the simulation time by focusing on sound power radiated directly from the stator (Islam and Husain, 2010; Mohammadi et al , 2018; Ibrahim et al , 2020; Vermaand and Balan, 1994; Al Nahlaoui et al , 2011; Ibrahim et al , 2019; Mohammadi et al , 2018), the overall acoustic behavior of a typical electric motor is a cumulative effect of other components such as the rotor, the housing, the support, etc. As far as the current state of the art is concerned, there are no known correlations between the stator sound pressure level (L S ) and the sound pressure level of the complete electric motor (L M ).…”

Section: Introductionmentioning

confidence: 99%

Correlating structural complexity and acoustic noise performance of electric motors

Ibrahim

Mohammadi

Ghorbanian

et al. 2022

COMPEL

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Purpose Acoustic noise is a crucial performance index in the design of electrical machines. Due to the challenges associated with modelling a complete motor, the stator is often used to estimate the sound power in the prototyping stage. While this approach greatly reduces lengthy simulations, the actual sound power of the motor may not be known. But, from the acoustic noise standpoint, not much is known about the correlation between the stator and complete motor. This paper, therefore, aims to use the sound pressure levels of the stator and the full motor to investigate the existence of correlations in the interior permanent magnet synchronous motor. Design/methodology/approach A multiphysics simulation framework is proposed to evaluate the sound pressure levels of multiple motor geometries in a given design space. Then, a statistical analysis is performed on the calculated sound pressure levels of each geometry over a selected speed range to compare the correlation strength between the stator and the full model. Findings It was established that the stator and the complete motor model are moderately correlated. As such, a reliance on the stator sound power for design and optimization routines could yield inaccurate results. Originality/value The main contribution involves the use of statistical tools to study the relationship between sound pressure levels associated with the stator geometry and the complete electric motor by increasing the motor sample size to capture subtle acoustic correlation trends in the design space of the interior permanent magnet synchronous motor.

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Effect of Acoustic Noise on Optimal SynRM Design Regions

Cited by 21 publications

References 8 publications

A Critical Review of Emerging Technologies for Electric and Hybrid Vehicles

A Critical Review of Emerging Technologies for Electric and Hybrid Vehicles

Design tools for electromagnetic-driven multi-physics systems using high performance computing

Correlating structural complexity and acoustic noise performance of electric motors

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