Optimal Control Method for LLC Resonant Convertor of EV Battery Chargers

Abdullah Memon; Muhammad Majid Gulzar; Noman Bashir; Salman Habib; Adnan Shakoor; Farheen Ehsan

doi:10.1109/ICRERA62673.2024.10815564

Optimal Control Method for LLC Resonant Convertor of EV Battery Chargers

Abdullah Memon, Muhammad Majid Gulzar^*, Noman Bashir, Salman Habib, Adnan Shakoor, Farheen Ehsan

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

This research provides a thorough analysis of the LLC resonant converter's mathematical modeling, design, and control using MATLAB Simulink (R2024a). Distinct control strategies, Linear Active Disturbance Rejection Controller (LADRC), Proportional-Integral-Derivative (PID), PI and PI-PD controller, have been implemented and rigorously analyzed under varying operational conditions. The investigation encompassed dynamic response, stability, and disturbance rejection capabilities of each controller. The results consistently demonstrated the superiority of the LADRC in comparison to PID family controllers, highlighting enhanced transient response, reduced overshoot, and improved robustness across diverse scenarios. The conclusion drawn from this study supports the efficacy of LADRC in LLC resonant converters, providing valuable insights into the selection of control strategies for optimal performance in practical applications.

Original language	English
Title of host publication	13th International Conference on Renewable Energy Research and Applications, ICRERA 2024
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	992-997
Number of pages	6
ISBN (Electronic)	9798350375589
DOIs	https://doi.org/10.1109/ICRERA62673.2024.10815564
State	Published - 2024
Event	13th International Conference on Renewable Energy Research and Applications, ICRERA 2024 - Nagasaki, Japan Duration: 9 Nov 2024 → 13 Nov 2024

Publication series

Name	13th International Conference on Renewable Energy Research and Applications, ICRERA 2024

Conference

Conference	13th International Conference on Renewable Energy Research and Applications, ICRERA 2024
Country/Territory	Japan
City	Nagasaki
Period	9/11/24 → 13/11/24

Bibliographical note

Publisher Copyright:
© 2024 IEEE.

Keywords

EV battery
LADRC
LLC Resonant converter
Optimal controller

ASJC Scopus subject areas

Electrical and Electronic Engineering
Safety, Risk, Reliability and Quality
Control and Optimization
Energy Engineering and Power Technology
Renewable Energy, Sustainability and the Environment

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/ICRERA62673.2024.10815564

Cite this

Memon, A., Gulzar, M. M., Bashir, N., Habib, S., Shakoor, A., & Ehsan, F. (2024). Optimal Control Method for LLC Resonant Convertor of EV Battery Chargers. In 13th International Conference on Renewable Energy Research and Applications, ICRERA 2024 (pp. 992-997). (13th International Conference on Renewable Energy Research and Applications, ICRERA 2024). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICRERA62673.2024.10815564

Memon, Abdullah ; Gulzar, Muhammad Majid ; Bashir, Noman et al. / Optimal Control Method for LLC Resonant Convertor of EV Battery Chargers. 13th International Conference on Renewable Energy Research and Applications, ICRERA 2024. Institute of Electrical and Electronics Engineers Inc., 2024. pp. 992-997 (13th International Conference on Renewable Energy Research and Applications, ICRERA 2024).

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title = "Optimal Control Method for LLC Resonant Convertor of EV Battery Chargers",

abstract = "This research provides a thorough analysis of the LLC resonant converter's mathematical modeling, design, and control using MATLAB Simulink (R2024a). Distinct control strategies, Linear Active Disturbance Rejection Controller (LADRC), Proportional-Integral-Derivative (PID), PI and PI-PD controller, have been implemented and rigorously analyzed under varying operational conditions. The investigation encompassed dynamic response, stability, and disturbance rejection capabilities of each controller. The results consistently demonstrated the superiority of the LADRC in comparison to PID family controllers, highlighting enhanced transient response, reduced overshoot, and improved robustness across diverse scenarios. The conclusion drawn from this study supports the efficacy of LADRC in LLC resonant converters, providing valuable insights into the selection of control strategies for optimal performance in practical applications.",

keywords = "EV battery, LADRC, LLC Resonant converter, Optimal controller",

author = "Abdullah Memon and Gulzar, {Muhammad Majid} and Noman Bashir and Salman Habib and Adnan Shakoor and Farheen Ehsan",

note = "Publisher Copyright: {\textcopyright} 2024 IEEE.; 13th International Conference on Renewable Energy Research and Applications, ICRERA 2024 ; Conference date: 09-11-2024 Through 13-11-2024",

year = "2024",

doi = "10.1109/ICRERA62673.2024.10815564",

language = "English",

series = "13th International Conference on Renewable Energy Research and Applications, ICRERA 2024",

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Memon, A, Gulzar, MM, Bashir, N, Habib, S , Shakoor, A & Ehsan, F 2024, Optimal Control Method for LLC Resonant Convertor of EV Battery Chargers. in 13th International Conference on Renewable Energy Research and Applications, ICRERA 2024. 13th International Conference on Renewable Energy Research and Applications, ICRERA 2024, Institute of Electrical and Electronics Engineers Inc., pp. 992-997, 13th International Conference on Renewable Energy Research and Applications, ICRERA 2024, Nagasaki, Japan, 9/11/24. https://doi.org/10.1109/ICRERA62673.2024.10815564

Optimal Control Method for LLC Resonant Convertor of EV Battery Chargers. / Memon, Abdullah; Gulzar, Muhammad Majid; Bashir, Noman et al.
13th International Conference on Renewable Energy Research and Applications, ICRERA 2024. Institute of Electrical and Electronics Engineers Inc., 2024. p. 992-997 (13th International Conference on Renewable Energy Research and Applications, ICRERA 2024).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Optimal Control Method for LLC Resonant Convertor of EV Battery Chargers

AU - Memon, Abdullah

AU - Gulzar, Muhammad Majid

AU - Bashir, Noman

AU - Habib, Salman

AU - Shakoor, Adnan

AU - Ehsan, Farheen

PY - 2024

Y1 - 2024

N2 - This research provides a thorough analysis of the LLC resonant converter's mathematical modeling, design, and control using MATLAB Simulink (R2024a). Distinct control strategies, Linear Active Disturbance Rejection Controller (LADRC), Proportional-Integral-Derivative (PID), PI and PI-PD controller, have been implemented and rigorously analyzed under varying operational conditions. The investigation encompassed dynamic response, stability, and disturbance rejection capabilities of each controller. The results consistently demonstrated the superiority of the LADRC in comparison to PID family controllers, highlighting enhanced transient response, reduced overshoot, and improved robustness across diverse scenarios. The conclusion drawn from this study supports the efficacy of LADRC in LLC resonant converters, providing valuable insights into the selection of control strategies for optimal performance in practical applications.

AB - This research provides a thorough analysis of the LLC resonant converter's mathematical modeling, design, and control using MATLAB Simulink (R2024a). Distinct control strategies, Linear Active Disturbance Rejection Controller (LADRC), Proportional-Integral-Derivative (PID), PI and PI-PD controller, have been implemented and rigorously analyzed under varying operational conditions. The investigation encompassed dynamic response, stability, and disturbance rejection capabilities of each controller. The results consistently demonstrated the superiority of the LADRC in comparison to PID family controllers, highlighting enhanced transient response, reduced overshoot, and improved robustness across diverse scenarios. The conclusion drawn from this study supports the efficacy of LADRC in LLC resonant converters, providing valuable insights into the selection of control strategies for optimal performance in practical applications.

KW - EV battery

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KW - Optimal controller

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BT - 13th International Conference on Renewable Energy Research and Applications, ICRERA 2024

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Y2 - 9 November 2024 through 13 November 2024

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Memon A, Gulzar MM, Bashir N, Habib S , Shakoor A, Ehsan F. Optimal Control Method for LLC Resonant Convertor of EV Battery Chargers. In 13th International Conference on Renewable Energy Research and Applications, ICRERA 2024. Institute of Electrical and Electronics Engineers Inc. 2024. p. 992-997. (13th International Conference on Renewable Energy Research and Applications, ICRERA 2024). doi: 10.1109/ICRERA62673.2024.10815564

Optimal Control Method for LLC Resonant Convertor of EV Battery Chargers

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

UN SDGs

Access to Document

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Cite this