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Implementation of Digital Control for Critical Conduction Mode Power Factor Correction Rectifier
Jong-Won Shin(신종원),Jong-Bok Baek(백종복),Bo-Hyung Cho(조보형) 전력전자학회 2011 전력전자학술대회 논문집 Vol.2011 No.7
In this paper, implementation of digital control for critical conduction mode power factor correction (PFC) rectifier is presented. Critical conduction mode is widely used in medium and low power conversion application due to its minimized MOSFET turn-on loss and diode reverse-recovery problem. However, it needs additional zero current detection circuit and maximum frequency limit to properly turn the MOSFET on and avoid the excessive switching loss in light load operation. This paper explains the digital IC implementation and verifies its operation with 200-W prototype PFC rectifier.
Bridgeless Flyback PFC Rectifier Using Single Magnetic Core and Dual Output Windings
Jong-Won Shin(신종원),Jong-Bok Baek(백종복),Bo-Hyung Cho(조보형) 전력전자학회 2011 전력전자학술대회 논문집 Vol.2011 No.7
In this paper, a bridgeless flyback power factor correction (PFC) rectifier which uses single magnetic core is proposed. The proposed PFC rectifiers utilize bidirectional switch to handle both positive and negative input voltage without bridge diodes. A transformer with dual output windings enables the rectifier dispense with any additional magnetic component. The operation of the proposed flyback PFC rectifier is analyzed, and its higher efficiency than its conventional counterpart is verified by experiment.
리튬이온 배터리 노화상태 추정을 위한 건전성 지표 추출 및 CNN 적용
문태석(Tae-Suk Mun),한동호(Dong-Ho Han),권상욱(Sang-Uk Kwon),백종복(Jong-Bok Baek),김종훈(Jong-Hoon Kim) 대한전기학회 2021 전기학회논문지 Vol.70 No.10
Due to the output characteristics of lithium-ion batteries used in electric vehicles (EVs) vary according to battery aging, accurate prediction of the state-of-health (SOH) reflecting the aging state is important. However, it is difficult to consider factors affecting battery characteristics, such as frequent charging and discharging, operating temperature, and state of charge, so there is a limitation in predicting battery SOH. Even in a model that considers the aging state of the battery under these various conditions, there is also a problem in that the complexity of the calculation process and parameters becomes serious. Therefore, in this paper, in order to research on the estimation of the aging state during operation of the INR18650-25R battery, a health indicator (HI) that can reflect the internal state of the battery according to aging is extracted. This research produce a learning image through the extracted HI and build a model study that enables algorithm learning through the image. The experimental profile used for model training and validation was an Urban Dynamometer Driving Schedule (UDDS), and a Convolutional Neural Network (CNN) with strength in image learning was applied for the estimation algorithm.
장민호(Min-ho Jang),이재문(Jae-moon Lee),김종훈(Jong-hoon Kim),백종복(Jong-Bok Baek),조보형(Bo-hyung Cho) 전력전자학회 2008 전력전자학술대회 논문집 Vol.- No.-
연료전지가 동작할 때에는 공기공급을 위한 압축기가 동작하게 되는데 공기의 유량에 따라 연료전지의 출력전력이 달라진다. 또한 공기의 유량에 따라 압축기에서 소비하는 전력이 달라지기 때문에 공기 유량에 따른 연료전지의 최대 효율점이 존재하게 된다. 본 논문에서는 연료전지의 출력전력에서 압축기의 손실전력을 제외한 순수 파워를 최대로 낼 수 있는 유량을 추적 제어하는 알고리즘을 제안한다.