Document Type : Research Paper


1 Electric Engineering Dept., University of Technology-Iraq, Alsina’a street, 10066 Baghdad, Iraq.

2 Electromechanical Engineering Dept., University of Technology-Iraq, Alsina’a street, 10066 Baghdad, Iraq.


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.

Graphical Abstract


  • 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


Main Subjects

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