Hameed, H., Anead, H., Sultan, K. (2024). ANFIS control of four-quadrant DC/DC chopper for wireless EV charging. , 42(8), 1122-1137. doi: 10.30684/etj.2024.146136.1673
Hawraa Q. Hameed; Hosham S. Anead; Khalid F. Sultan. "ANFIS control of four-quadrant DC/DC chopper for wireless EV charging". , 42, 8, 2024, 1122-1137. doi: 10.30684/etj.2024.146136.1673
Hameed, H., Anead, H., Sultan, K. (2024). 'ANFIS control of four-quadrant DC/DC chopper for wireless EV charging', , 42(8), pp. 1122-1137. doi: 10.30684/etj.2024.146136.1673
Hameed, H., Anead, H., Sultan, K. ANFIS control of four-quadrant DC/DC chopper for wireless EV charging. , 2024; 42(8): 1122-1137. doi: 10.30684/etj.2024.146136.1673

ANFIS control of four-quadrant DC/DC chopper for wireless EV charging

Engineering and Technology Journal
Volume 42, Issue 8, August 2024, Pages 1122-1137    PDF (1.39 M)
Document Type: Research Paper
DOI: 10.30684/etj.2024.146136.1673
Authors
Hawraa Q. Hameed* 1; Hosham S. Anead1; Khalid F. Sultan2
1Electric Engineering Dept., University of Technology-Iraq, Alsina’a street, 10066 Baghdad, Iraq.
2Electromechanical Engineering Dept., University of Technology-Iraq, Alsina’a street, 10066 Baghdad, Iraq.
Abstract
Wireless charging of electric vehicles (EVs) poses issues like power ripples that reduce battery lifetime. This study proposes a four-quadrant DC/DC chopper controlled by an adaptive neuro-fuzzy controller (ANFIS) for wireless EV charging. The system is modeled and simulated in Matlab/Simulink. Compared to a PI-PSO controller, the proposed ANFIS control reduced the ripple factor in power over half to about 0.7% and optimized stability and efficiency. Though settling time increased, the difference in rise time was negligible. Future work will improve dynamic response. The ANFIS-controlled DC/DC chopper enhances wireless charging performance with minimal power ripples for safe, efficient EV power transfer.

Highlights
  • Wireless charging for electric vehicles presents notable advantages and associated challenges
  • The technology minimizes reliance on cables, enhancing convenience for users
  • By improving the overall experience, it may encourage wider adoption of electric vehicles
  • Electric vehicles have varying charging rates, impacting recharge durations and capacities
  • Techniques like fuzzy logic and genetic algorithms are used to refine the charging process
Keywords
Wireless Charging; Electric Vehicle (EV); ANFIS; Battery Charging; Intelligent Control
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