Proceedings of the Second International Conference on Emerging Trends in Engineering (ICETE 2023)

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Integration of Renewable Energy Resources to EV Using Sensor Less Control and Regenerative Braking

Authors
Indira Damarla1, *, Aare Anand1, T. Thanmai Reethika1, H. Sai Niharika1
1Department of EEE, Velagapudi Ramakrishna Siddhartha Engineering College, Vijayawada, India
*Corresponding author. Email: indira.damarla@gmail.com
Corresponding Author
Indira Damarla
Available Online 9 November 2023.
DOI
10.2991/978-94-6463-252-1_63How to use a DOI?
Keywords
Dynamic response; Fuzzy PI controller; Brushless DC Motor; Landsman Converter; Regenerative braking; Sensor less control
Abstract

In this paper, a cutting-edge controller and drivetrain architecture for a renewable energy source (RES) powered Electric Vehicle (EV) has been proposed. Hall-Effect position sensor-less brushless dc (BLDC) motor drives frequently experience delayed commutation at low/high speeds. Conventional control is ineffective due to the small back EMF magnitude. The proposed technique uses the sensor with less control with commutation error compensation, driving the motor across the whole range. To identify the freewheeling pulses, a forward commutation error compensation algorithm has been created, which eliminates the requirement for low-pass filters and reduces the control complexity for low-cost EV applications. A separate phase compensator is not necessary because the use of the zero-crossing detection (ZCD) technology, which also automatically corrects the delay. The undesirable spikes in the ZCD circuit have been eliminated using a fixed delay digital filter. Effective MPPT control makes use of a modified landsman converter, which delivers ripple-free current at the output and eliminates the requirement for a ripple filter at the front end. The performance of the BLDC motor has been improved using the fuzzy logic-based PI controller. The efficiency of the suggested system is demonstrated using the MATLAB/Simulink environment.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the Second International Conference on Emerging Trends in Engineering (ICETE 2023)
Series
Advances in Engineering Research
Publication Date
9 November 2023
ISBN
10.2991/978-94-6463-252-1_63
ISSN
2352-5401
DOI
10.2991/978-94-6463-252-1_63How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Indira Damarla
AU  - Aare Anand
AU  - T. Thanmai Reethika
AU  - H. Sai Niharika
PY  - 2023
DA  - 2023/11/09
TI  - Integration of Renewable Energy Resources to EV Using Sensor Less Control and Regenerative Braking
BT  - Proceedings of the Second International Conference on Emerging Trends in Engineering (ICETE 2023)
PB  - Atlantis Press
SP  - 614
EP  - 624
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-252-1_63
DO  - 10.2991/978-94-6463-252-1_63
ID  - Damarla2023
ER  -