Please use this identifier to cite or link to this item: http://localhost/handle/Hannan/217784
Title: Design of auto frequency tuning capacitive power transfer system based on class-E<sup>2</sup> dc/dc converter
Authors: Kai Lu;Sing Kiong Nguang;Shengkai Ji;Lei Wei
Year: 2017
Publisher: IET
Abstract: This study presents the design of capacitive wireless power transfer systems based on a suboptimal Class-E<sup>2</sup> converter approach. The main reason for selecting the suboptimal Class-E<sup>2</sup> converter is due to its ability of maintaining its high efficiency over a wide bandwidth of operation frequency. However, Class-E<sup>2</sup> converters in general are sensitive to its load's variation. This variation greatly affects the output voltage and increases the switching loss of the system. Motivated by this drawback, the authors develop an auto-frequency tuning mechanism based on a PI approach for the suboptimal Class-E<sup>2</sup> converter to regulate the output voltage and minimise the switching loss. A non-contact communication mechanism is also developed to transmit the secondary side's measurements to the primary side. Finally, simulation and experiment are carried out to verify the effectiveness of the auto-frequency tuning mechanism.
URI: http://localhost/handle/Hannan/217784
volume: 10
issue: 12
More Information: 1588,
1595
Appears in Collections:2017

Files in This Item:
File SizeFormat 
8063021.pdf571.91 kBAdobe PDF
Title: Design of auto frequency tuning capacitive power transfer system based on class-E<sup>2</sup> dc/dc converter
Authors: Kai Lu;Sing Kiong Nguang;Shengkai Ji;Lei Wei
Year: 2017
Publisher: IET
Abstract: This study presents the design of capacitive wireless power transfer systems based on a suboptimal Class-E<sup>2</sup> converter approach. The main reason for selecting the suboptimal Class-E<sup>2</sup> converter is due to its ability of maintaining its high efficiency over a wide bandwidth of operation frequency. However, Class-E<sup>2</sup> converters in general are sensitive to its load's variation. This variation greatly affects the output voltage and increases the switching loss of the system. Motivated by this drawback, the authors develop an auto-frequency tuning mechanism based on a PI approach for the suboptimal Class-E<sup>2</sup> converter to regulate the output voltage and minimise the switching loss. A non-contact communication mechanism is also developed to transmit the secondary side's measurements to the primary side. Finally, simulation and experiment are carried out to verify the effectiveness of the auto-frequency tuning mechanism.
URI: http://localhost/handle/Hannan/217784
volume: 10
issue: 12
More Information: 1588,
1595
Appears in Collections:2017

Files in This Item:
File SizeFormat 
8063021.pdf571.91 kBAdobe PDF
Title: Design of auto frequency tuning capacitive power transfer system based on class-E<sup>2</sup> dc/dc converter
Authors: Kai Lu;Sing Kiong Nguang;Shengkai Ji;Lei Wei
Year: 2017
Publisher: IET
Abstract: This study presents the design of capacitive wireless power transfer systems based on a suboptimal Class-E<sup>2</sup> converter approach. The main reason for selecting the suboptimal Class-E<sup>2</sup> converter is due to its ability of maintaining its high efficiency over a wide bandwidth of operation frequency. However, Class-E<sup>2</sup> converters in general are sensitive to its load's variation. This variation greatly affects the output voltage and increases the switching loss of the system. Motivated by this drawback, the authors develop an auto-frequency tuning mechanism based on a PI approach for the suboptimal Class-E<sup>2</sup> converter to regulate the output voltage and minimise the switching loss. A non-contact communication mechanism is also developed to transmit the secondary side's measurements to the primary side. Finally, simulation and experiment are carried out to verify the effectiveness of the auto-frequency tuning mechanism.
URI: http://localhost/handle/Hannan/217784
volume: 10
issue: 12
More Information: 1588,
1595
Appears in Collections:2017

Files in This Item:
File SizeFormat 
8063021.pdf571.91 kBAdobe PDF