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Kim J.K.,Tyco AMP Korea Company | Lee C.S.,Tyco AMP Korea Company
International Journal of Automotive Technology | Year: 2013

The variable reluctance type resolver is widely used in an electric motor for hybrid electric vehicles as a rotor position sensor. The purpose of this paper is to present a simulation-based approach capable of determining a more accurate rotor shape of variable reluctance resolver in order to cut the time and cost of its development before testing a physical prototype. For the verification of the simulation-based approach to the position error detection of rotor, experiments for 8XVR resolver were conducted. Based on this approach, an optimal salient-pole rotor shape of 4X-VR resolver is proposed. © 2013 The Korean Society of Automotive Engineers and Springer-Verlag Berlin Heidelberg. Source


Kim J.K.,Tyco AMP Korea Company | Lee C.S.,Tyco AMP Korea Company
International Journal of Automotive Technology | Year: 2013

The purpose of this study is to present a simulation-based approach capable of predicting the fatigue life of a mold core with the help of CAE technology based on injection molding simulation, core stress analysis and fatigue life prediction. Injection molding simulation is performed in order to obtain the non-uniform pressure acting on a mold core due to the polymer melt flow during injection molding process. Subsequently, the melt pressure profile is used as loading condition for core stress analysis via one-way coupling technique. The lifetime of a mold core is then predicted by fatigue analysis with stress-life approach. For verification of simulation-based approach to the fatigue life prediction, tests were also performed. © 2013 The Korean Society of Automotive Engineers and Springer-Verlag Berlin Heidelberg. Source


Kim J.-K.,Tyco AMP Korea Company | Lee C.-S.,Tyco AMP Korea Company
International Journal of Precision Engineering and Manufacturing - Green Technology | Year: 2015

Battery thermal management for electric or hybrid vehicles is crucial to prevent overheating and uneven heating across a battery pack. Thus, this paper provides a reliable and accurate co-simulation approach that can predict the thermal state inside a battery pack by the electrochemical responses of lithium-ion (Li-ion) battery cells. The approach is based on coupling an electric circuit model and a Computational Fluid Dynamics (CFD) model. The effectiveness and validation of the simulation approach are discussed by comparison with the experimental data. © 2015 Korean Society for Precision Engineering. Source

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