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무선전력전송용 게이트 및 드레인 조절 회로를 이용한 고이득 고효율 전력증폭기
이성제(Sungje Lee),서철헌(Chulhun Seo) 대한전자공학회 2014 전자공학회논문지 Vol.51 No.1
본 논문은 고효율 전력증폭기는 무선전력전송을 위한 게이트와 드레인 바이어스 조절 회로를 사용하여 설계하였다. 이 조절 회로는 PAE (Power Added Efficiency)를 개선하기 위해 사용되었다. 게이트와 드레인 바이어스 조절 회로는 directional coupler, power detector, and operational amplifier로 구성되어있다. 구동증폭기를 사용하여 고이득 2단 증폭기는 전력증폭기의 낮은 입력단에 사용되었다. 게이트와 드레인 바이어스 조절회로를 사용하여 제안된 전력증폭기는 낮은 전력에서 높은 효율성을 가질 수 있다. PAE는 80.5%까지 향상되었고 출력전력은 40.17dBm이다. In this paper, a high-efficiency power amplifier is implemented using a gate and drain bias control circuit for WPT (Wireless Power Transmission). This control circuit has been employed to improve the PAE (Power Added Efficiency). The gate and drain bias control circuits consists of a directional coupler, power detector, and operation amplifier. A high gain two-stage amplifier using a drive amplifier is used for the low input stage of the power amplifier. The proposed power amplifier that uses a gate and drain bias control circuit can have high efficiency at a low and high power level. The PAE has been improved up to 80.5%.
탑승자 쾌적성 향상을 위한 국부 근접 A/C 시스템 개발
이동규(Dongkyu Lee),권대복(Daebok Keon),우상구(Sanggu Woo),이성제(Sungje Lee),안용남(Yongnam Ahn),박재우(Jaewoo Park) 한국자동차공학회 2017 한국자동차공학회 부문종합 학술대회 Vol.2017 No.5
A single module A/C system is developed through application of compact and light-weight components. This module is designed to get more than 300 W cooling performance by using a small electric compressor. Furthermore, this cooled air is discharged to each passenger’s seat to improve passengers’ thermal comfort. Above all, it can be completely independent and individually controlled to meet the air conditioning requirements for individuals effectively.
전기자동차 히트펌프용 수열원 응축기 성능 특성에 관한 연구
이호성(Hoseong Lee),전한별(Hanbyeol Jeon),조중원(Choongwon Cho),임택규(Taekkyu Lim),이성제(Sungje Lee),남광우(Kwangwoo Nam) 한국자동차공학회 2020 한국자동차공학회 학술대회 및 전시회 Vol.2020 No.11
The performance characteristics of coolant-source plate heat exchanger for heat pump system in electric vehicles was studied experimentally. In order to analyze plate heat exchanger with the coolant operating PE(Power Electronics) thermal management, coolant conditions was varied with respect to temperature, volume flow rate. Because the refrigerant in MAC(Mobile Air Conditioning) was about to be changed in our country, performance experiments were carried out for present(R-134a) and alternative(R-1234yf) refrigerants. With increasing coolant volume flow rate in plate heat exchanger, heat rejection rate increased due to refrigerant mass flow rate increment. While heating capacity of R-134a was increased by 78%, that of R-1234yf was increased by 67.5% due to lack of enthalpy difference in high pressure side. In case of coolant temperature, heating capacity with R-134a was decreased by 46.4% from 45℃to 53. 5℃. As a result, because changing refrigerant led to decrease performance, design modification is required to improve heat capacity. Modified plate heat exchanger as a condenser will be studied and plate heat exchanger as an evaporator will be executed experimentally under vehicle operating conditions.
공조 AUTO 사용성 개선을 위한 운전자 맞춤형 학습 제어기 개발
이정훈(Jeonghoon Lee),신기영(Kiyoung Shin),김중재(Joongjae Kim),권동호(Dongho Kwon),이성제(Sungje Lee),황동우(Dongwoo Hwang) 한국자동차공학회 2018 한국자동차공학회 학술대회 및 전시회 Vol.2018 No.11
An ‘auto’ mode on conventional FATC system provides climate control automatically based on the map which is preset. The values preset on the map are setting temperature, ambient temperature, in-car temperature, sun-road, evaporator temperature, coolant temperature, and etc. Those various values are regarded as inputs to calculate Td; thermal index. Calculated Td determines output values for discharging air temperature, Mode selection, AC on/off, blower steps, or compressor capacity to control internal cabin climate environment. The output values; however, does not always guarantee to satisfy every passengers’ climate comfort in cabin. Therefore, customized or passenger climate preference reflection on FATC are needed to provide better climate comfort to passenger in cabin area. To reflect a user climate preference into FATC, machine learning algorithm has been incorporated into FATC logic. Its machine learning algorithm is based on frequency of climate operation setting and lasting time. It is suitable for vehicle climate control because of no need for high performance CPU and heavy memory compared with deep learning and others. This is demonstrated in a bench test and vehicle experiments.