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리튬이온전지의 노화를 고려한 SOH 및 SOC 추정 알고리즘에 관한 연구
한상현(Sanghyeon Han),최웅철(Woongchul Choi) 한국자동차공학회 2019 한국자동차공학회 학술대회 및 전시회 Vol.2019 No.11
Due to industrialization and the use of fossil fuels, the world is facing problems of abnormal climate and global warming. In order to solve this problem, research and development of electric vehicles and energy storage systems are also rapidly progressing. In this study, we fabricated SOH and SOC estimation algorithm of BMS for efficient use of battery, which is a key component of electric vehicle and energy storage system. Algorithm is made by using internal resistance measuring method that compensates for the disadvantages of voltage based method and coulomb counting method applied to existing BMS. In addition, in order to confirm the algorithm using the internal resistance estimating technique, the experiment was conducted by producing OCV characteristics test and battery model. The SOH and SOC estimation algorithms using internal resistance estimation technique can be used more efficiently than the normal estimation method.
전기자동차 대규모 충전 인프라 전략적 배치에 관한 연구
한상현(Sanghyeon Han),윤조현(Johyeon Yoon),구진완(Jinwan Koo),최웅철(Woongchul Choi) 한국자동차공학회 2018 한국자동차공학회 학술대회 및 전시회 Vol.2018 No.11
The phenomenon of worldwide climate change is affecting human life more seriously than ever before. Countries around the world have identified cars as an integral part of pollutive sources. This is why automobiles should be Eco-friendly. Electric vehicle, which are representatively Eco-friendly, have become a spotlight vehicle of the future. In this paper, we propose a strategy to place a large – scale charging theme park. Up until now, typical public charging station has 2~3 chargers to support charging needs of the Ev users. As the EV become more popular, a newly noticed problems such as either charger hopping or long waiting become eminent. In order to address this new but, a certain issue, large scale charging theme park concept which has more than 30 chargers is proposed. Furthermore, in order to maximize its effectiveness, a strategic approach to select the close-to-ideal locations for the charging them park is introduced as well. In this study, Jeju Island, which has many electric vehicle in Korea, is selected as an analysis model. We propose an algorithm for the assignment of weighting factors according to the location of tourist attractions, convenient supporting facilities and the density of population. The estimated locations are validated using actual charger usage data collected over time in Jeju island. The proposed strategy to identify appropriate location for large scale charging theme parks can be used in other tourist heavy island or even for small countries. If the algorithm is enhanced. With increased amount real charger usage data, it is expected to be further utilized for other sectors and countries.
신소재를 활용한 열관리 시스템 해석과 시스템 레벨에서의 효과 분석
강민우(Minwoo Kang),한상현(Sanghyeon Han),최웅철(Woongchul Choi) 한국자동차공학회 2018 한국자동차공학회 학술대회 및 전시회 Vol.2018 No.11
The effective operating temperature of a lithium-ion battery is usually around 30 to 40 °C. If the temperature of the battery inside the electric vehicle is higher than the specified operating range, the life and efficiency of the battery may deteriorate. Also, in worst case, excessive battery heat may cause fire or explosion of the system. Therefore, Battery Thermal Management System (BTMS) is essential to keep battery temperature within the appropriate operating temperature range. In this study, the goal is to assess the applicability of newly developed material, mainly a carbon based graphite with enhanced thermal conductivity, as a medium to move the heat away from the cell in the BTMS. To verify applicability of the new material, ANSYS Fluent was used to perform thermal transfer analysis computationally and physical experiments using a heating element were carried out to strengthen results from the numerical analysis. Based on simulation results and supporting experimental results, current research provides the basis for the possible application of the new material as a part of advanced battery pack for successful EV thermal management. As mentioned in the conclusion section, it shows a clear advantage in the weight reduction area while keeping the thermal characteristics of battery pack as stable as required for the safe operation.
전류 흐름 개선 플레이트를 적용한 리튬이온 배터리 성능 실험
홍석진(Seokjin Hong),한상현(Sanghyeon Han),태희동(Heedong Tae),최웅철(Woongchul Choi) 한국자동차공학회 2018 한국자동차공학회 학술대회 및 전시회 Vol.2018 No.11
To reduce emissions of exhaust gases known as the main cause of global warming, governments around the world are limiting the use of internal combustion engines and strengthening environmental regulations. Which lead to the research on eco-friendly automobiles to actively proceed. Among eco-friendly cars, electric vehicles, which use electricity as their main power source, are highly dependent on batteries. Therefore, the research on batteries is very important. Although the increase of supplement by the government subsidy policies from all around world, electric vehicles are difficult to operate over long distances because the mileage per charge is shorter than that of internal combustion engines. It also suffers from insufficient Charging Infrastructure and long charging times. The batteries of electric vehicle use electric energy to run electric motors and are highly dependent on batteries. It is important to ensure reliability of battery performance in order to ensure similar driving performance to the internal combustion engine. This paper aims to verify the feasibility of current improvement plate through Li-Ion Battery discharge experiment. The measured voltage data was collected during the Li-Ion Battery discharge experiment using LabVIEW of National Instrument.
합성가스의 저온 자발화 한계 온도와 수정된 화학반응 메커니즘에 대한 수치적 연구
장승언(Seungeon Jang),박진(Jin Park),한상현(Sanghyeon Han),정기성(Kisung Jung),유춘상(Chunsang Yoo),김홍집(Hongjip Kim) 한국연소학회 2019 KOSCOSYMPOSIUM논문집 Vol.2019 No.5
In this study, 2-D simulation was performed using C1, GRI3.0 and SD mechanisms to predict the auto-ignition of syngas. However, unlike the experimental results, auto-ignition was not predicted at temperature below 940 K. In order to solve this problem, chemical mechanism was modified by through various analysis. Auto-ignition was predicted in low temperature region through the modified mechanism. In addition, the modified mechanism was verified using ignition delay time, flame speed and CEMA.