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가속도 센서가 장착된 지능형 타이어를 통한 각 바퀴 하중 추정
정다솔(Dasol Jeong),이종협(Jonghyup Lee),최세범(Seibum Choi),김민태(Mintae Kim) 한국자동차공학회 2018 한국자동차공학회 지부 학술대회 논문집 Vol.2018 No.5
본 논문은 Intelligent tire에 장착된 가속도 센서를 기반으로 한 각 바퀴 하중 추정 알고리즘을 다루었다. 각 바퀴 하중의 경우 잠김방지제동장치(ABS), 차체자세제어장치(ESP), 능동현가장치 등 대부분의 차량 제어 시스템에 활용되는 정보이다. 대부분의 기존 논문들은 차량 모델과 차량 파라미터에 의존하여 하중을 추정하는 알고리즘에 대해 다루었다. 하지만, 이는 수식적으로 복잡하며 차량 파라미터에 크게 의존하기 때문에 강건성을 보장하지 못한다는 단점이 있다. 그렇기에 본 논문에서는 보다 직관적이며 차량 모델을 사용하지 않는 강건한 하중 추정 알고리즘을 제안하였다. 새로운 하중 추정 알고리즘은 intelligent tire를 통해 타이어-노면 간의 접지 길이를 추정하는 것에서 시작된다. 이러한 접지 길이는 실험적으로 속도에 의한 영향은 작고 하중과 압력에 지배적인 양상을 띠는 것을 검증했다. 그 후 실험 결과를 토대로 하중, 압력, 접지 길이 간에 3차원 함수를 구성하였으며, 이를 통해 하중을 추정하였다. 최종적으로, 개발된 하중 추정 알고리즘은 Flat trac을 활용하여 실험적으로 검증되었다.
미세구조가 제어된 전해도금 Cu₂O 광양극의 광전기화학 특성
정다솔(Dasol Jeong),조우현(Woohyeon Jo),정재범(Jaebum Jeong),정현성(Hyunsung Jung) 한국표면공학회 2020 한국표면공학회지 Vol.53 No.5
Cu₂O films as a photocathode for photoelectrochemical water splitting were potentiostatically deposited on FTO glasses. The morphology and composition of the electrodeposited Cu₂O films were adjusted by the applied potentials. The potential-dependent grain size of Cu₂O films was characterized by XRD and SEM analysis. Photoelectrochemical properties of the fabricated Cu₂O photocathodes were investigated with photocurrents as a function of potentials under 1 sun condition of 100mW/cm². Photocurrents of the electrodeposited Cu₂O films were controlled with the tailored surface morphologies of Cu₂O photocathodes.
양극산화 제어에 의한 TiO₂ 나노튜브의 광전기화학 특성
정다솔(Dasol Jeong),김동현(Donghyun Kim),정현성(Hyunsung Jung) 한국표면공학회 2019 한국표면공학회지 Vol.52 No.6
We investigated a correlation between morphology and photoelectrochemical properties of TiO₂ nanotubes fabricated by well-controlled anodization processes. Anodization in an ethylene-glycol-based electrolyte solution accelerated the rapid grow rate of TiO₂ nanotubes, but also cause problems such as delamination at the interface between TiO₂ nanotubes and a Ti substrate, and debris on the top of the nanotube. The applied voltages for the anodization of TiO₂ were adjusted to avoid the interface delamination. The heat treatment and the anodizing time were also controlled to enhance the crystallinity of the as-prepared TiO₂ nanotubes and to increase the surface area with the varied length of the anodized TiO₂ nanotubes. Additionally, a 2- step anodization process was utilized to remove the debris on the tube top. The photoelectrochemical properties of TiO₂ nanotubes prepared with the carefully tailored conditions were investigated. By removing the debris on TiO₂ nanotubes, applied bias photon-to-current efficiency (ABPE) of TiO₂ nanotubes increased up to 0.33%.
보수적 규칙 기반 의사결정을 통한 자율주행 버스의 지역 경로 계획
고건희(Geonhee Ko),정다솔(Dasol Jeong),최세범(Seibum B. Choi) 대한기계학회 2021 대한기계학회 춘추학술대회 Vol.2021 No.11
In this research, a rule based local path planning algorithm for autonomous bus has been proposed. Since autonomous bus travels through a fixed global path, it has less diversity of situations. Also, conservative driving is recommended for safety purposes. Therefore, a sophisticated rule based decision making algorithm is developed in order to properly deal with relatively small number of situations. When generating evasive path reference, the Frenet-Serret coordinate system is used to create various path candidates with different lateral offsets. The optimal path can be determined with small computation by utilizing a cost function and choosing the path with smallest cost. In case of lane change or cut in, the ego vehicle only changes its velocity in order to avoid collision in a conservative manner. In addition, the lateral acceleration of the ego vehicle is also taken into consideration when generating speed reference to secure lateral stability and ride comfort. The proposed algorithm is verified with carsim simulation.
가속도 센서 기반 지능형 타이어를 이용한 타이어 마모 추정
김승택(Seungtaek Kim),정다솔(Dasol Jeong),최세범(Seibum Choi),이호종(Hojong Lee),김민태(Mintae Kim) 한국자동차공학회 2020 한국자동차공학회 지부 학술대회 논문집 Vol.2020 No.6
In this paper, intelligent tire based tire wear estimation method is proposed. It is important to estimate tire wear because tire wear is closely related to vehicle safety, especially braking distance. The existing method of estimating tire wear is considering mileage and tire wear rate. However, this method has the limitation that the estimation of the tire wear rate should be preceded. Therefore, in this paper, tire wear estimation method using intelligent tires is proposed. Three wear parameters predominant to wear that can be obtained from an intelligent tire acceleration sensor are proposed: x-direction acceleration peak, z-direction acceleration peak, and z-direction jerk peak. Tendency between the corresponding factor and wear was confirmed through an indoor test. The effect of tire load, speed, and pressure on the wear factor was considered and tire wear was estimated using the support vector regression technique. Wear estimation performance was verified by indoor testing.