Current Collapseless High-Voltage GaN-HEMT and its 50-W Boost Converter Operation

Author(s):  
Wataru Saito ◽  
Masahiko Kuraguchi ◽  
Yoshiharu Takada ◽  
Kunio Tsuda ◽  
Yasunobu Saito ◽  
...  
2008 ◽  
Vol 29 (1) ◽  
pp. 8-10 ◽  
Author(s):  
Wataru Saito ◽  
Tomohiro Nitta ◽  
Yorito Kakiuchi ◽  
Yasunobu Saito ◽  
Kunio Tsuda ◽  
...  

2014 ◽  
Vol 61 (12) ◽  
pp. 6739-6746 ◽  
Author(s):  
George Cajazeiras Silveira ◽  
Fernando Lessa Tofoli ◽  
Luiz Daniel Santos Bezerra ◽  
Rene Pastor Torrico-Bascope

2021 ◽  
Author(s):  
HENRIQUE JAHNKE HOCH ◽  
TIAGO MIGUEL KLEIN FAISTEL ◽  
ADEMIR TOEBE ◽  
ANTóNIO MANUEL SANTOS SPENCER ANDRADE

High step-up DC-DC converters are necessary in photovoltaic energy generation, due the low voltage of the panels source. This article propose the Doubler Output Coupled Inductor converter. This converter is based in boost converter and utilize switched capacitors and a coupled inductor to maximize the static voltage gain. The converter achieve a high voltage gain with low turns ratio in the coupled inductor and an acceptable duty cycle. Can highlight the converter utilize low number of components and have low voltage and current stresses in semiconductors. To validate and evaluate the operation of the converter a 200W prototype is simulated.


Author(s):  
K. Jyotheeswara Reddy ◽  
N. Sudhakar ◽  
S. Saravanan ◽  
B. Chitti Babu

AbstractHigh switching frequency and high voltage gain DC-DC boost converters are required for electric vehicles. In this paper, a new high step-up boost converter (HSBC) is designed for fuel cell electric vehicles (FCEV) applications. The designed converter provides the better high voltage gain compared to conventional boost converter and also reduces the input current ripples and voltage stress on power semiconductor switches. In addition to this, a neural network based maximum power point tracking (MPPT) controller is designed for the 1.26 kW proton exchange membrane fuel cell (PEMFC). Radial basis function network (RBFN) algorithm is used in the neural network controller to extract the maximum power from PEMFC at different temperature conditions. The performance analysis of the designed MPPT controller is analyzed and compared with a fuzzy logic controller (FLC) in MATLAB/Simulink environment.


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