ScholarWorks@Hanyang University: Yoon, Sang Won

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Yoon, Sang Won (윤상원)

COLLEGE OF ENGINEERING (DEPARTMENT OF AUTOMOTIVE ENGINEERING)

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Tel 02-2220-2891
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power module:4||Multichip modules:2||Gyroscope modeling:2||Energy harvester:2||MOSFET:2||Thermal resistance:2||Vibration sensitivity:2||power semiconductor devices:2||thermal resistance:2||Autonomous vehicles:1||Bonding processes:1||Capacitors:1||Coexistence of devices:1||Computational modeling:1||Costs:1||Coupled electromagneticthermal analysis:1||DBC package:1||Design optimization:1||Direct bonded copper (DBC) substrate:1||Distributed scheduling strategy:1||Distribution transformer:1||Driver head posture monitoring:1||Electric compressor (ecompressor):1||Electric power steering system:1||Electric variables:1||Electrical contact resistance:1||Electrical resistance measurement:1||Electromagnetic:1||Estimation:1||Flexural modes:1||Forward head posture:1||High temperature:1||Impact force:1||Inductance:1||Integral calculation:1||Integrated circuit modeling:1||Integrated motorinverter:1||Integrated startergenerator:1||InternetofThings network:1||Junction to Case Thermal Resistance:1||Junctions:1||Kalman filters:1||Lagrange&apos:1||Lead:1||Low void vacuum reflow soldering:1||MEMS magnetometer:1||Magnetmagnetometer pair:1||Magnetic cores:1||Magnetic nanomaterial:1||Mathematical model:1||Mechanical parameter identification:1||Messagepassing algorithm:1||Methanol:1||Methyl acetate:1||Microelectromechanical systems (MEMS):1||Mie scattering:1||Moldingbased package:1||Moment of inertia:1||Neural networks:1||Nonlinear capacitance:1||PVOH:1||Package onresistance:1||Piezoelectric effect:1||Piezoelectric transducers:1||Poly(vinyl alcohol):1||Polymer drying:1||Power harmonic filters:1||Power module:1||Power module packaging:1||Power quality:1||Power transformers:1||Reactive power:1||Ring gyroscopes:1||SiC MOSFET:1||Soft magnetic back iron:1||Stray Inductance:1||SuperJunction MOSFET:1||Switches:1||Temperature distribution:1||Temperature measurement:1||Thermal analysis:1||Thermal sensor:1||Transfer Molding:1||Translation modes:1||Tri DiagonalMatrix Algorithm:1||Tuning fork gyroscopes:1||Viscous friction coefficient:1||Voltage control:1||Voltage fluctuations:1||Voltage measurement:1||Wheels:1||Wide bandgap power devices:1||circuitlevel module analysis:1||composites:1||comprehensive monitoring:1||constrainedgamma model:1||contact force:1||continuous gesture recognition:1||deep neural netwTRork:1||deep neural network:1||direct bonded copper (DBC):1||directional cue:1||doublesided cooling:1||driver fatigue analysis:1||electric brake:1||electric compressor (eCompressor):1||electrical signal:1||energy harvesting:1||environmental factors:1||epoxy molding compound:1||finite element methods:1||finiteelement method (FEM) simulation:1||finiteelement methods:1||gyroscope:1||hand gesture:1||humancomputer interaction:1||hybrid transformer:1||integrated motorinverter:1||intermetallic:1||inverter power module:1||ionic liquids:1||lumped parameter magnetic circuit:1||lumped parameter thermal network:1||machine learning:1||magnetic back iron:1||magnetometer:1||mathematical modeling:1||motorinverter integration:1||multichip:1||multimodal input devices:1||multiphysics simulation:1||multiphysics analysis:1||nanotubes:1||neural network:1||nickel:1||nonlinear spring:1||offline identification:1||package onresistance:1||paired magnet:1||permanent magnet synchronous motor (PMSM):1||permanent magnets (PMs):1||postural diseases:1||power cycling:1||power electronics:1||power factor improvement:1||power module package:1||raindrop axis ratio:1||raindrop distribution:1||s equations:1||shock protection:1||shock stop:1||signal fault:1||silicon carbide:1||slip ratio:1||smart grid:1||soft coating:1||takeover request:1||temperature measurement:1||temperature sensors:1||thermal cycling:1||thermal impedance:1||tin:1||topology design optimization:1||topology optimization:1||transfer molding:1||unified wearable input devices:1||vehicle sensor connector:1||vehicle speed estimation:1||voltage sag/swell compensation:1||4Pack Power Module:1||wearable monitoring:1||48 V mild hybrid vehicles:1||48V mild hybrid vehicles:1||48V mild hybrid vehicles:1||Acceleration:1||Adaptation models:1||Adaptive filter:1||Adaptive filters:1||Automotive Lidar:1||

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