Mechanical coupling of two induction motor drives for the applications of an electric-drive vehicle system

Dhote, V. P.; Lokhande, Makarand M.; Agrawal, Akash; Kumar, B. Hemanth

doi:10.1109/npec.2017.8310480

Cited by 9 publications

(3 citation statements)

References 8 publications

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“…This prompted the improvement of batteries for working EVs, In-wheel operation of the wheel, and energy component vehicles [17]. Brushless DC motors are three-phase permanent magnet motors and require a DC voltage as their power source [18].…”

Section: Literature Surveymentioning

confidence: 99%

Stability analysis and speed control of brushless DC motor based on self-ameliorate soft switching control methods

Rao

Shantharama

2023

IJECE

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In recent years, electric vehicles are the large-scale spread of the transportation field has led to the emergence of brushless direct current (DC) motors (BLDCM), which are mostly utilized in electrical vehicle systems. The speed control of a BLDCM is a subsystem, consisting of torque, flux hysteresis comparators, and appropriate switching logic of an inverter. Due to the sudden load torque variation and improper switching pulse, the speed of the BLDCM is not maintained properly. In recent research, the BLDC current control method gives a better way to control the speed of the motor. Also, the rotor position information should be the need for feedback control of the power electronic converters to varying the appropriate pulse width modulation (PWM) of the inverter. The proposed optimization work controls the switching device to manage the power supply BLDCM. In this proposed self-ameliorate soft switching (SASS) system is a simple and effective way for BLDC motor current control technology, a proposed control strategy is intended to stabilize the speed of the BLDCM at different load torque conditions. The proposed SASS system method is analyzing hall-based sensor values continuously. The suggested model is simulated using the MATLAB Simulink tool, and the results reveal that the maximum steady-state error value achieved is 4.2, as well as a speedy recovery of the BLDCM's speed.

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Section: Literature Surveymentioning

confidence: 99%

Stability analysis and speed control of brushless DC motor based on self-ameliorate soft switching control methods

Rao

Shantharama

2023

IJECE

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“…Electric motors are generally reasonable for vehicle applications since they can grow high beginning forces. This prompted the improvement of batteries for working electric vehicles (EVs), half breed vehicles, and energy component vehicles [15]. Brushless DC motors are three-phase permanent magnet motors and require a DC voltage as their power source [16].…”

Section: Literature Surveymentioning

confidence: 99%

Enhanced Fuzzy Non-Linear Power Control Based BLDC Motor Drive for Electric Vehicle Stability Analysis

Kavitha¹

2020

NPSC

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In recent years, electric vehicles are the large-scale spread of the transportation field has led to the emergence of Brushless DC motors (BLDC), which are mostly utilized in propulsion systems. However, the sector information (rotor position) required by BLDC motors is used for power electronic converters based on BLDC drives to perform external commutation.The BLDC motor is a synchronous motor driven by unstable parallel connection because it does not slip due to the permanent magnet synchronous motor (PMSM). A different control method is to improve by using the BLDC motor the performance, to drive this BLDC motor have been in this system. In this proposed Enhanced Fuzzy Nonlinear Power Control (EFNPC) system is a simple and effective way for BLDC motor current control technology, a proposed control strategy is intended to stabilize the wheel power supply through the control of BLDC motor drive. The proposed Enhanced Fuzzy Nonlinear Power Control (EFNPC) method is called using a hall-based sensor. It is modified for BLDC motor drive based on a reference positive current to produce positive current control. The modulation method is implemented. To assess the theory, the proposed procedure is first actualized in an open circle structure. It is given to be equivalent; the performance is comparable to the traditional, ensuring a simplified development. Finally, the Enhanced Fuzzy Nonlinear Power Control (EFNPC) for controlling BLDC motor operation was verified by simulation using the MATLAB2017b software.

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“…Due to its simple structure and reliability, 3-phase induction motors (IMs) are widely used in industry, and it consumes about 30% of global energy consumption [1]. With the development trend of artificial intelligence and clean energy, the application of IMs in emerging fields such as intelligent logistics and new energy vehicles has shown great potential [2][3][4]. However, when the motor is directly started, its starting current is normally 4-20 times of its rated current, but the starting torque could be even lower than the rated one.…”

Section: Introductionmentioning

confidence: 99%

Optimal starting frequency of three‐phase induction motor

Chen

2021

IET Electric Power Appl

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In its applications, the starting performance of a 3-phase induction motor (IM) is very important. The starting torque of the motor should be as high as possible within the safe current range of the motor driver. In the study, the optimal frequency for motor starting is derived from the frequency characteristic of the IM. Through the analysis of the characteristics, the optimal frequency point can be found, which is able to generate the maximum torque per unit drive current. Both theoretical analysis and experiments show that the IM with the optimal starting frequency can generate the maximum torque for a given current. The traditional methods, such as soft-start, can reduce the starting current, but at the expense of lowering starting torque. This starting technology can solve the problem caused by traditional methods, improve the starting performance of the motor system significantly, and lower the requirement for the current redundancy of the motor driver effectively. K E Y W O R D Sinduction motor, optimal starting frequency, optimal starting torque per ampere, starting performance, starting torque, T-type equivalent circuitThis is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.

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Mechanical coupling of two induction motor drives for the applications of an electric-drive vehicle system

Cited by 9 publications

References 8 publications

Stability analysis and speed control of brushless DC motor based on self-ameliorate soft switching control methods

Stability analysis and speed control of brushless DC motor based on self-ameliorate soft switching control methods

Enhanced Fuzzy Non-Linear Power Control Based BLDC Motor Drive for Electric Vehicle Stability Analysis

Optimal starting frequency of three‐phase induction motor

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