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차석원(Suk Won Cha),정종렬(Jongyul Jeong),서호원(Ho Won Seo),하승범(Seungbum Ha) 대한기계학회 2010 대한기계학회 춘추학술대회 Vol.2010 No.11
It is critical that design engineers in a global business corporation collaborate efficiently with colleagues in branch offices located all over the world. This study discusses how students can be trained for such activity through a global design class. Students from three universities form a design team to perform a product design and prototyping. Student communication among universities is typically achieved by internet-based telecommunication systems that provide audio and video signal. Language, cultural difference and time difference pose a huge challenge to efficient team building. The lecturers play a key role in resolving conflicts between team members. Regardless of the outcome, students appreciate the global design experience under proper environment organized by the lectures.
Characteristic Behaviors on Air-breathing Direct Methanol Fuel Cells
장익황,차석원,이민환 한국정밀공학회 2012 International Journal of Precision Engineering and Vol.13 No.7
This paper investigated environmental effects of passive, air-breathing, and vapor-feeding direct methanol fuel cells (PAVDMFCs). In these experiments, main experimental parameters are temperature (30℃, 40℃) and relative humidity (25%,75%). From these experimental results, the humidity plays a key role in terms of the water management at the cathode catalyst layer. During pure methanol feeding, the peak performance shows in relative humidity 25% and 40℃. Under high humidity condition (relative humidity 75%), the water flooding of cathode blocks the oxygen reduction reaction at the cathode. The low humidity (relative humidity 25%) decreases the flooding of the cathode, in which the Warburg of relative humidity 25% decreases rather than that of relative humidity 75%. We concluded that rich water contents of the cathode slightly decrease activation overpotentials.
이희은,차석원,정종렬,박영일 한국정밀공학회 2017 International Journal of Precision Engineering and Vol.4 No.1
This paper presents a new energy management control strategy of a hybrid electric vehicle, using dynamic programming with preview driving cycle information. Dynamic programming is a promising solution for energy management problem of the hybrid electric vehicle, yet global optimality can only be achieved with preview driving cycle information due to its non-causal property. As recent driving cycle prediction algorithms facilitate the use of preview driving cycle information, rule-based energy management strategy of the hybrid electric vehicle using dynamic programming optimization is presented in this study, under the assumption that the preview driving cycle information is already given. The strategy is composed of dynamic programming calculation and the rule-based control strategy using that calculation. Dynamic programming analyzes optimal control and battery state of charge trajectory in accordance with the vehicle travel distance, with given predicted driving cycle information. The proposed rule-based strategy distributes vehicle’s demand power into the engine and the electric motor, to follow target battery state of charge trajectory acquired from dynamic programming. To validate the control strategy, simulation is conducted on various standard driving cycles. The energy management strategy shows improved fuel economy performance for diverse driving cycles.