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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM26685

REGENERATIVE BRAKING AND SENSOR LESS CONTROL INTEGRATION OF RENEWABLE ENERGY RESOURCES FOR EV APPLICATIONS

Stream/Area:

-

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Paper ID:

10.55041/IJSREM26685

Volume:

7 |

11 |

Nov 2023

Pages:

Publication Frequency:

Monthly (12 issues per year)

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License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

P

P.MURARI

DCR

DARNASI CHARITHA RATAN

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Abstract

– This article offers a state-of-the-art powertrain and controller design for an e-rickshaw powered by RES. Brushless dc (BLDC) motor drives without Hall-effect position sensors often have delayed commutation at low and high speeds. Because of the tiny back EMF magnitude, conventional control is useless. In this example, the motor is driven across the complete range using the proposed sensor less control with commutation error compensation. A simple commutation error compensation method is developed to identify the freewheeling pulses, eliminating the need for low pass filters, and reducing control complexity for low-cost EV applications. It is also advised to use a zero-crossing detection (ZCD) approach, which eliminates the need for a separate phase compensator by automatically correcting the delay. A fixed delay digital filter removes any unwanted spikes from the ZCD circuit. Effective MPPT control is achieved by using a modified Landsman converter, which eliminates the requirement for a ripple filter at the front end and provides ripple-free current at the output. The BLDC motor drive’s capacity to regenerate energy reduces EV energy concern since thanks to the Renewable, an EV never runs out of electricity. The controller is a fuzzy logic controller based on a PI. MATLAB/Simulink Results Illustrate the System’s Effectiveness.

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Cite This Article

P.MURARI, DARNASI CHARITHA RATAN, "REGENERATIVE BRAKING AND SENSOR LESS CONTROL INTEGRATION OF RENEWABLE ENERGY RESOURCES FOR EV APPLICATIONS," International Journal of Scientific Research in Engineering and Management, vol. 7, no. 11, Nov 2023. https://doi.org/10.55041/IJSREM26685

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Publication Date

11/18/2023

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Double-Blind Peer Review

Review Rounds: 2

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