Virtual design optimization of a BLDC motor for a two wheeler electric cargo vehicle

Tripathi, Siddharth; Gumma, Muralidhar; Potarlanka, Srinivasa Rao

doi:10.1109/asiancon55314.2022.9909490

Cited by 2 publications

(3 citation statements)

References 9 publications

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“…FEM is applied to solve Maxwell's equations, which elucidate electromagnetic fields represented by a couple of differential equations. Researchers emphasize that the use of FEA is one of the most accurate methods, especially for calculating the power, torque and efficiency of permanent magnet motors, and for creating loaded-and no-load models for BLDCMs [39,40]. The results of FEA with analytical models for BLDCMs and PMSMs show that their consideration in the control strategy has a great impact [41].…”

Section: 𝑎 = 𝑏 + 𝑐 + 𝑑mentioning

confidence: 99%

“…The improvement of in-wheel BLDCM design for electric vehicle drive system under the condition that the main size of the motor remains constant has been revealed in recent The goodness measure of desired motor performance can be shown by means of a combination of performance measures of design [39,40]. This measure is defined as quality factor of design (QFD).…”

Section: Analysis Of In-wheel Bldcm Performance With Different Design...mentioning

confidence: 99%

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In Search of the Proper Dimensions of the Optimum In-Wheel Permanent Magnet Synchronous Motor Design

Cabuk,

Ustun

2024

Energies

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In this paper, a new approach to the optimized design of outer rotor Permanent Magnet Synchronous Motors (PMSMs) for in-wheel light electric vehicle (LEV) applications is presented. The optimized design study is based on various dimensions such as back iron depth, permanent magnet depth and air gap length. The novel method is developed to reveal the quality factor of design (QFD), which implies the maximum possible performance results, and determine the best possible design for in-wheel PMSMs for direct-drive LEV applications. Therefore, the thickness of the back iron, permanent magnet and air gap dimensions are altered accordingly to obtain an optimized design. This design study is conducted for an in-wheel PMSM that has rated values of 2.5 kW, 150 V, 900 min−1, and 24-slot/20-pole configuration intended for LEV propulsion. These designs are simulated in order to obtain the maximized combination of efficiency, shaft power, shaft torque and a minimized combination of total weight, iron losses, copper losses, input current and cogging torque. The measure of the optimized parameters is named QFD, which indicates the goodness of the design through the use of radar charts. The values of the essential coefficients of QFD may vary for different applications, e.g., the design of PMSMs used in traction applications has some certain criteria that imply high-performance operation. Additionally, the QFD can guide motor manufacturers as a starting point for a design study.

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Section: 𝑎 = 𝑏 + 𝑐 + 𝑑mentioning

confidence: 99%

Section: Analysis Of In-wheel Bldcm Performance With Different Design...mentioning

confidence: 99%

In Search of the Proper Dimensions of the Optimum In-Wheel Permanent Magnet Synchronous Motor Design

Cabuk,

Ustun

2024

Energies

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“…To optimize the two-wheel electric motor in terms of required torque, speed, size, mass, and cost, the effect of the air gap length on the efficiency was investigated between the determined mere limited values. In addition, the effect of stator inner diameter change on efficiency and torque was analyzed [10], [11]. Due to the increasing demand for energy and concerns about environmental pollution, the popularity of EVs has been on the rise.…”

Section: Introductionmentioning

confidence: 99%

The Design, Optimization, and Experimental Study of Hub and Axial Flux BLDC Motor Under Operating Conditions For Light Electric Vehicles

Toker¹,

Tosun²,

Serteller³

et al. 2023

Adv. sci. technol. eng. syst. j.

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In this study, we conducted an experimental study and efficiency optimization of the outer rotor (hub) BLDC (brushless direct current) motor and axial BLDC motor for light electric vehicles. Both motors were investigated in the simulation environment and experimentally. The axial flux BLDC motor had a rated power of 10 KW, and a rated speed of 4550 rpm, while the outer rotor (hub) BLDC motor had a rated power of 1 KW and a rated speed of 300 rpm. The speed, efficiency, torque, and weight values of both motors were examined comparatively. The torque/volume values of the hub motor and axial flux motor were used as references for analysis. The hub motor and axial flux motors, with equal volume values, were simulated using ANSYS Electronics Desktop software. The simulation data were also compared with experimental studies. To optimize these motors using a genetic algorithm (GA), lower and upper limit values were determined for various parameters such as the outer and inner diameter of the stator, the outer diameter of the rotor, air gap length, slot height, axial length, air gap flux density, magnet thickness, and tooth width in the hub motor. Similarly, in the axial flux motor, parameters such as the outer and inner diameter of the stator, air gap length, slot height, air gap flux density, magnet thickness, tooth width, stator length, and rotor length were optimized using the GA method. The application of GA optimization has led to a 1.91% increase in the hub motor efficiency and a 3.45% increase in the axial motor efficiency.

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Virtual design optimization of a BLDC motor for a two wheeler electric cargo vehicle

Cited by 2 publications

References 9 publications

In Search of the Proper Dimensions of the Optimum In-Wheel Permanent Magnet Synchronous Motor Design

In Search of the Proper Dimensions of the Optimum In-Wheel Permanent Magnet Synchronous Motor Design

The Design, Optimization, and Experimental Study of Hub and Axial Flux BLDC Motor Under Operating Conditions For Light Electric Vehicles

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