As the demand for efficient electric vehicle (EV) charging solutions skyrockets, advancements in wireless power transfer (WPT) technologies become imperative. This study introduces an innovative approach—Dual-Tuned Inductive Power Transfer (DT-IPT). Unlike conventional systems, DT-IPT leverages dual-resonant frequencies in transmitting and receiving coils, offering dynamic adaptability to varying operational conditions. Motivated by limitations in existing WPT systems, such as reduced efficiency over variable distances and sensitivity to misalignments, DT-IPT looks to overcome these hurdles. The method involves a comprehensive exploration of design, modeling, and implementation, supported by mathematical models. Experimental results highlight enhanced power transfer efficiency, resilience to misalignments, and improved performance across various distances tested with 3.3 kW in static and dynamic operation. The significance of these findings lies in the potential to revolutionize EV charging infrastructure. Comparative analysis positions DT-IPT as a promising solution, outshining existing IPT technologies. This research contributes to the WPT for EVs domain, presenting an innovative system that will address critical challenges and provide more effective and user-friendly EV charging solutions.

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Dual-Tuned Inductive Power Transfer for E-Bike

  • C. Bharatiraja,
  • R. Nakkeeran

摘要

As the demand for efficient electric vehicle (EV) charging solutions skyrockets, advancements in wireless power transfer (WPT) technologies become imperative. This study introduces an innovative approach—Dual-Tuned Inductive Power Transfer (DT-IPT). Unlike conventional systems, DT-IPT leverages dual-resonant frequencies in transmitting and receiving coils, offering dynamic adaptability to varying operational conditions. Motivated by limitations in existing WPT systems, such as reduced efficiency over variable distances and sensitivity to misalignments, DT-IPT looks to overcome these hurdles. The method involves a comprehensive exploration of design, modeling, and implementation, supported by mathematical models. Experimental results highlight enhanced power transfer efficiency, resilience to misalignments, and improved performance across various distances tested with 3.3 kW in static and dynamic operation. The significance of these findings lies in the potential to revolutionize EV charging infrastructure. Comparative analysis positions DT-IPT as a promising solution, outshining existing IPT technologies. This research contributes to the WPT for EVs domain, presenting an innovative system that will address critical challenges and provide more effective and user-friendly EV charging solutions.