Comparison of Six-Phase and Three-Phase Induction Motors for Electric Vehicle Propulsion as an Improvement Toward Sustainable Transportation

Francis, James R.; Biju, N.; Johnson, Anupama; Mathew, Jeswant; Sreepriya, R.; Sankar, Vishnu

doi:10.1007/978-981-13-1202-1_21

Cited by 3 publications

(2 citation statements)

References 9 publications

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“…Therefore, it is necessary to design and optimize vehicle monitors. Among the various kinds of electric monitors, induction motors have been widely used because of better performance (Dvadnenko et al, 2018;Francis et al, 2019;Hnatov et al, 2019;Zarma et al, 2019). High reliability and high efficiency are its main characteristics of induction motor (Benbouzid, 1999).…”

Section: Introductionmentioning

confidence: 99%

Design optimization of vehicle asynchronous motors based on fractional harmonic response analysis

Song

Lei

et al. 2021

Mech. Sci.

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Abstract. To make vehicles more reliable and efficient, many researchers have tried to improve the rotor performance. Although certain achievements have been made, the previous finite element model did not reflect the historical process of the motor rotor well, and the rigidity and mass in rotor optimization are less discussed together. This paper firstly introduces fractional order into a finite element model to conduct the harmonic response analysis. Then, we propose an optimal design framework of a rotor. In the framework, objective functions of rigidity and mass are defined, and the relationship between high rigidity and the first-order frequency is discussed. In order to find the optimal values, an accelerated optimization method based on response surface (ARSO) is proposed to find the suitable design parameters of rigidity and mass. Because the higher rigidity can be transformed into the first-order natural frequency by objective function, this paper analyzes the first-order frequency and mass of a motor rotor in the experiment. The results proved that not only is the fractional model effective, but also the ARSO can optimize the rotor structure. The first-order natural frequency of asynchronous motor rotor is increased by 11.2 %, and the mass is reduced by 13.8 %, which can realize high stiffness and light mass of asynchronous motor rotors.

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Section: Introductionmentioning

confidence: 99%

Design optimization of vehicle asynchronous motors based on fractional harmonic response analysis

Song

Lei

et al. 2021

Mech. Sci.

View full text Add to dashboard Cite

show abstract

“…Among electric machines, induction motors enjoy the highest industry application (Dvadnenko et al, 2018; Francis et al, 2019; Hnatov et al, 2019; Zarma et al, 2019). Performance, reliability, and efficiency are of major concern when it comes to induction motor application (Benbouzid, 2000).…”

Section: Introductionmentioning

confidence: 99%

Reducing the vibration of bearing units of electric vehicle asynchronous traction motors

Migal

Lebedev

Shuliak

et al. 2020

Journal of Vibration and Control

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The impact of the accuracy class of bearings, rotational speed, load, clearances, and fits on the vibration levels of electric motor bearing units is investigated. The ways to reduce the vibrations of mechanical origin are offered. The boundary vibration levels of asynchronous motors limited by vibration levels of 40 dB at a frequency of 5 Hz and 80 dB at a frequency of 10,000 Hz are determined. The effect of increasing the rotational speed and load on the vibration levels of bearing units has been determined, and reserves for reducing vibration while ensuring the optimum bearing preload on the shaft journal have been identified. It is established that the clearance between the cap and the bearing when it is fixed in the housing (primer) does not ensure the unambiguity of the bearing unit assembly, which results in a large variation in vibration levels compared with rigid and elastic fixation. The results of this research can be applied to all types of traction electric motors.

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Particle Swarm Optimization Based Optimal Design of Six-Phase Induction Motor for Electric Propulsion of Submarines

et al. 2022

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Recent research reveals that multi-phase motors in electric propulsion systems are highly recommended due to their improved reliability and efficiency over traditional three phase motors. This research presented a comparison of optimal model design of a six phase squirrel cage induction motor (IM) for electric propulsion by using Genetic Algorithm (GA) and Particle Swarm Optimization (PSO). A six phase squirrel cage induction motor is designed and simulated by ANSYS Motor-CAD. In order to find the best fit method, simulation results are compared and applied to the motors for electric propulsion, considering the influence of design upon the motor performance. The six-phase squirrel cage induction motor is more energy efficient, reliable and cost effective for the electric propulsion compared to the conventional three phase motor. In this study, first the initial parameters of the six phase squirrel cage induction motor have been determined and then these parameters have been compared with optimized values by Genetic Algorithm (GA) and PSO optimization. The motor designed is optimized using efficiency and power losses as the fitness function. The six phase squirrel cage induction motor is designed using ANSYS Motor-CAD and the simulation results were also presented along with two-dimensional and three-dimensional geometry. The result shows that the weight and power loss are reduced to 161 kg and 0.9359 Kw respectively, while the efficiency and power factor are increased to 0.95 and 0.87 respectively when PSO is used. This shows that the result is promising.

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Comparison of Six-Phase and Three-Phase Induction Motors for Electric Vehicle Propulsion as an Improvement Toward Sustainable Transportation

Cited by 3 publications

References 9 publications

Design optimization of vehicle asynchronous motors based on fractional harmonic response analysis

Design optimization of vehicle asynchronous motors based on fractional harmonic response analysis

Reducing the vibration of bearing units of electric vehicle asynchronous traction motors

Particle Swarm Optimization Based Optimal Design of Six-Phase Induction Motor for Electric Propulsion of Submarines

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