Comparison of Synchronous Reluctance, PM assisted Synchronous Reluctance and Spoke-Type BLDC Motor for an E-Rickshaw

Kumar, Jitendra; Gowtham, Varun; Sampathirao, Sashidhar

doi:10.1109/icit46573.2021.9453466

Cited by 7 publications

(5 citation statements)

References 15 publications

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“…This is an important reason that it is widely used in EV and HEVs applications. This motor has many advantages; the overall volume and weight are significantly low for a given output power, i.e., high power density; higher efficiency, noiseless operation, long operating life, high-speed ranges, and heat dissipation is very good to the surroundings [28].…”

Section: Brushless DC Motormentioning

confidence: 99%

“…The goal of the optimization procedure in the context of our study is to identify the ideal PID controller parameters that satisfy predetermined performance standards and minimize a cost function. A quantitative indicator of system performance, the cost function takes error reduction, stability, and responsiveness into account [28]. The following objective function is taken into account in this study when tuning the PID controller.…”

Section: Optimization Techniquesmentioning

confidence: 99%

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Optimization of BLDC-based electric vehicles: Vehicle dynamics modelling through dual-motor approach and designing a novel augmented TLBO algorithm for PID control

Kumar,

Bera,

Kumar

2024

Eng. Res. Express

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Sample The work primarily focuses on increasing the efficiency of EV drive in electric two-wheeler by working on several aspects, such as modulating the vehicle's design, optimizing the control strategy, and increasing the speed range using a dual-motor approach. The dynamics of electric two-wheeler have been discussed with a mathematical vehicle model and further tuning of several aspects. Besides, this paper also introduces a novel Augmented Teaching and Learning based Optimization (ATLBO) technique designed exclusively to control BLDC motors for the electric two-wheeler vehicle. Besides, the designed technique has been implemented for the widely used commercial e-bike of Hero Company. Therefore, an analysis has been performed to increase the vehicle's speed range using a dual motor, from 45 km/hr to 62 km/hr, proving to be a viable alternative to a single motor generally used in an electric bike. ATLBO technique has been designed against a conventional TLBO to optimize the proportional-integral-derivative (PID) controller for the speed control of a linear brushless DC (BLDC) motor. Furthermore, the literature has validated the merits of the presented novel control technique. The only disadvantage of using a dual motor is the initial cost, but the overall cost is moderated in the long-term usage for its augmented performance parameters. The performance parameters of the above technique are analyzed against other optimization techniques like conventional Teaching and Learning based optimization (TLBO), Particle Swarm Optimization (PSO). MATLAB/Simulink models the brushless DC motor and implements ATLBO, TLBO, and PSO algorithms. It has been found that the response obtained from ATLBO is comparatively much faster than other optimization techniques, which supports the motor for quick acceleration as well as more efficient in improving the step response characteristics such as rise time, settling time, and steady-state error in the speed control of a linear BLDC motor.

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Section: Brushless DC Motormentioning

confidence: 99%

Section: Optimization Techniquesmentioning

confidence: 99%

Optimization of BLDC-based electric vehicles: Vehicle dynamics modelling through dual-motor approach and designing a novel augmented TLBO algorithm for PID control

Kumar,

Bera,

Kumar

2024

Eng. Res. Express

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“…Pearson's correlation coefficient is denoted by and is commonly used to measure the degree of correlation between a pair of random variables (A, B). The Pearson correlation coefficient is calculated [30] as shown in Equation (7).…”

Section: Uniform Latin Hypercube Sampling and Sensitivity Analysismentioning

confidence: 99%

“…PMA-SynRMs have gradually entered the public sphere and become a research direction for many scholars. PMA-SynRMs, by integrating the advantages of permanent magnet motors and reluctance motors [7], have gradually gained widespread attention due to their advantages such as low permanent magnet usage, high torque and power density, and a wide weak magnetic speed regulation range [8,9].…”

Section: Introductionmentioning

confidence: 99%

Design and Multi-Objective Optimization for Improving Torque Performance of a Permanent Magnet-Assisted Synchronous Reluctance Motor

Zhang,

Xing,

Kang

et al. 2024

Applied Sciences

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Permanent magnet-assisted synchronous reluctance motors (PMA-SynRMs) are widely used in various industries as a relatively inexpensive and high-performance energy conversion device. The model proposed in this article relies on a magnetic pole-biased permanent magnet synchronous reluctance motor with a magnetic focusing effect. Two types of models with Halbach array and magnetic focusing effect have been proposed, which increase excitation and make the internal magnetic circuit of the rotor more saturated, thereby achieving higher electromagnetic torque. Through finite element simulation analysis and verification, the motor characteristics of the basic and proposed permanent magnet-assisted synchronous reluctance motor were calculated, including the air gap flux density and back electromotive force (EMF) in no-load analysis, as well as the average torque, torque ripple, and efficiency in load analysis. In addition, multi-objective optimization was also conducted on the rotor topology structure of proposed model two, using the uniform Latin hypercube sampling method to uniformly sample the data samples and the Pearson correlation coefficients to perform a sensitivity analysis on the data. The pilOPT multi-objective autonomous optimization algorithm was used to perform multi-objective autonomous optimization on parameters with high correlation, and the best-found solution based on the Pareto front was selected. Compared with proposed model two, the average torque of the optimized model increased by 18.14%, the efficiency increased by 1.05% and the torque ripple decreased by 5.22%. Finally, the anti-demagnetization performance of the optimized model’s permanent magnet was analyzed.

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“…The ferrite‐based PM is preferred due to its availability and cost, suitable for high power applications. [8] The rise in carbon emission by internal combustion engine creates more polluted environment. Therefore, an E‐Rickshaw motor designed and the electromagnetic analysis streamed out to verify the torque characteristics, flux path, losses by finite element analysis (FEA) and verified analytical.…”

Section: Introductionmentioning

confidence: 99%

Analysis of isolated phase windings and permanent magnet assists high energy efficient hybrid‐reluctance motor for electric vehicle

Sundaramoorthy¹,

Vijayakumar²,

Stonier

et al. 2023

IET Electrical Syst in Trans

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This article describes the electromagnetic analysis of high efficient hybrid motor, which comprises the salient features of switched reluctance motor (SRM) and spoke‐type brushless DC motor. The main objective is to develop a motor with a high‐power density and winding faulty capability. Furthermore, this research article extends in the manner to increase the power density of the motor through the sensitivity analysis on rotor geometry by replacing the rotating part of SRM and adopting the rotor of spoke type brushless DC motor, originating the hybrid motor with the high‐power density and enhanced efficiency. To ensure the winding fault capability, a SRM‐based stator winding is adopted. Then, the modelling process for hybrid motor 48 V, 1500 RPM, 2 kW, and 12.7 Nm are detail in both analytical and finite element methods. The electromagnetic analysis is carried out to estimate the torque characteristics and flux pattern of the proposed motor. Furthermore, the proposed motor is analysed with the selection of laminating core material among M 27 24 Ga, 36F155, 46F165, 47F165, M 420 50D, and arnon 7. This infers 36F155 material assists proposed motor has high‐performance characteristics. The vibration frequencies are investigated in modal aspects to estimate the natural frequencies of vibrations. These analyses are validated among analytical and finite element results under no‐load conditions.

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Comparison of Synchronous Reluctance, PM assisted Synchronous Reluctance and Spoke-Type BLDC Motor for an E-Rickshaw

Cited by 7 publications

References 15 publications

Optimization of BLDC-based electric vehicles: Vehicle dynamics modelling through dual-motor approach and designing a novel augmented TLBO algorithm for PID control

Optimization of BLDC-based electric vehicles: Vehicle dynamics modelling through dual-motor approach and designing a novel augmented TLBO algorithm for PID control

Design and Multi-Objective Optimization for Improving Torque Performance of a Permanent Magnet-Assisted Synchronous Reluctance Motor

Analysis of isolated phase windings and permanent magnet assists high energy efficient hybrid‐reluctance motor for electric vehicle

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