A Scholarly Review of Methods for Design Optimization of IPM Synchronous Motors Used in Electric Vehicles

Sardar, Muhammad Usman; Dou, Manfeng; Saleem, Umar; Nawaz, Muhammad Kashif; Hassan, Mannan

doi:10.1109/etecte55893.2022.10007183

Cited by 4 publications

(3 citation statements)

References 30 publications

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“…Circuit [170,181] • Can analyze components such as stator windings, rotor cores, and magnetic materials.…”

Section: Model Based On Magneticmentioning

confidence: 99%

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State-of-the-Art Techniques for Fault Diagnosis in Electrical Machines: Advancements and Future Directions

Akbar,

Vaimann,

Asad

et al. 2023

Energies

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Electrical machines are prone to various faults and require constant monitoring to ensure safe and dependable functioning. A potential fault in electrical machinery results in unscheduled downtime, necessitating the prompt assessment of any abnormal circumstances in rotating electrical machines. This paper provides an in-depth analysis as well as the most recent trends in the application of condition monitoring and fault detection techniques in the disciplines of electrical machinery. It first investigates the evolution of traditional monitoring techniques, followed by signal-based techniques such as spectrum, vibration, and temperature analysis, and the most recent trends in its signal processing techniques for assessing faults. Then, it investigates and details the implementation and evolution of modern approaches that employ intelligence-based techniques such as neural networks and support vector machines. All these applicable and state-of-art techniques in condition monitoring and fault diagnosis aid in predictive maintenance and identification and have the highly reliable operation of a motor drive system. Furthermore, this paper focuses on the possible transformational impact of electrical machine condition monitoring by thoroughly analyzing each of the monitoring techniques, their corresponding pros and cons, their approaches, and their applicability. It offers strong and useful insights into proactive maintenance measures, improved operating efficiency, and specific recommendations for future applications in the field of diagnostics.

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“…Circuit [170,181] • Can analyze components such as stator windings, rotor cores, and magnetic materials.…”

Section: Model Based On Magneticmentioning

confidence: 99%

“…The Least Squares Support Vector Machine (LSSVM) has produced reliable predictions when working with a limited data set. It was proposed in a study [181] that the particle swarm optimization (PSO) method be used to predict the deterioration pattern of slewing bearings.…”

Section: Support Vector Machinesmentioning

confidence: 99%

State-of-the-Art Techniques for Fault Diagnosis in Electrical Machines: Advancements and Future Directions

Akbar,

Vaimann,

Asad

et al. 2023

Energies

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“…MATLAB simulation showing achievement of required torque.The rotor of the PM is fitted with several permanent magnet materials, including Sm 2 Co 3 , Sm 2 Co 17 , and Nd-Fe-B. The effectiveness of the PMSM is also altered by altering the magnets[15].…”

mentioning

confidence: 99%

Permanent Magnet Synchronous Machine Control Performance and Analysis for Environment-Friendly Electric Vehicle Applications

Sardar,

Yaqoob,

Akbar

et al. 2023

Ieec 2023

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A comprehensive review of stage-of-the-art subsystems configurations, technical methodologies, advancements, and prospects for new energy electric vehicles

Zhang

Jasni

Radzi

et al. 2023

Ionics

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A Scholarly Review of Methods for Design Optimization of IPM Synchronous Motors Used in Electric Vehicles

Cited by 4 publications

References 30 publications

State-of-the-Art Techniques for Fault Diagnosis in Electrical Machines: Advancements and Future Directions

State-of-the-Art Techniques for Fault Diagnosis in Electrical Machines: Advancements and Future Directions

Permanent Magnet Synchronous Machine Control Performance and Analysis for Environment-Friendly Electric Vehicle Applications

A comprehensive review of stage-of-the-art subsystems configurations, technical methodologies, advancements, and prospects for new energy electric vehicles

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