Title :
Optimization of spread-spectrum MSK sequences and passive, multi-resonant bandpass rectifiers for wireless power transfer with low electromagnetic interference
Author :
Avestruz, Al-Thaddeus ; Rinehart, Michael D. ; Leeb, Steven B.
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Massachusetts Inst. of Technol., Cambridge, MA, USA
Abstract :
This paper addresses the concern for both electromagnetic interference (EMI) and human RF exposure in wireless power transfer (WPT). In many applications like medical, portable, and wearable devices, RF exposure is a greater concern, and the unrestricted ISM bands are often not optimal. Outside of the ISM bands, the restrictions on transmitter power are onerous. The computer-aided design of appropriate spread spectrum sequences to drive WPT and the associated bandpass rectifiers is presented. The sequences are optimized for a new four-quadrant inverse class D amplifier using a genetic algorithm. The wireless power is captured by a high order bandpass rectifier that is optimized using a surrogate model to alleviate the computation cost of performing time domain simulations.
Keywords :
CAD; electromagnetic interference; genetic algorithms; power engineering computing; radiofrequency power transmission; rectifiers; EMI; WPT; computer-aided design; electromagnetic interference; four-quadrant inverse class D amplifier; genetic algorithm; human RF exposure; multiresonant bandpass rectifiers; spread spectrum sequences; spread-spectrum MSK sequences optimization; wireless power transfer; Bandwidth; Computational modeling; Gallium nitride; Interference; Irrigation; Reactive power; Wireless power transfer; bandpass rectifier; minimum shift keying; spread spectrum; surrogate modeling;
Conference_Titel :
Control and Modeling for Power Electronics (COMPEL), 2014 IEEE 15th Workshop on
Conference_Location :
Santander
DOI :
10.1109/COMPEL.2014.6877192