Field Circuit Coupling Analysis of Dynamic Wireless Charging for Electric Vehicle

Liu, Chaoqun; Wei, Bin; Wang, Songcen; Wu, Xiaokang; Zhang, Xian; Wang, Jie; Yang, Qingxin

doi:10.1109/cieec.2018.8745768

Cited by 4 publications

(2 citation statements)

References 1 publication

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“…The dynamic remote force charging innovation of electric vehicles is a transmitter curl, which is put under the ground. At the point when the electric vehicle and the getting should be overload the hysteresis current controller should be regulate and stabilize the speed [11] to realize the wireless dynamic charging of the vehicle, a modular multi-level converter (MMC) with basic embedded units, integrated balance function ISSN: 2088-8708  Stability analysis and speed control of brushless DC motor based on … (Nagaraja Rao) 2461 represents an effective alternative of the EV system [12]. The development of electric vehicles features the charging network business market and forms, including the internet of things based communication system [13] charging network policy.…”

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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show abstract

“…The dynamic remote force charging innovation of electric vehicles is a transmitter curl, which is put under the ground. At the point when the electric vehicle and the getting curl are going on this street, the force arrange goes through the communicating and accepting loop [9] to realize the wireless dynamic charging of the vehicle, and for driving the electric vehicle. Send it to the motor.…”

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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A review of dynamic charging of electric vehicles

Kumar

Gupta

Nema

2021

2021 7th International Conference on Electrical Energy Systems (ICEES)

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Field Circuit Coupling Analysis of Dynamic Wireless Charging for Electric Vehicle

Cited by 4 publications

References 1 publication

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

A review of dynamic charging of electric vehicles

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