People

Youngki Kim PhD is an assistant professor in Mechanical Engineering Department at the University of Michigan - Dearborn (UMD). 

He received his PhD degree (2014) from the University of Michigan, Ann Arbor where his thesis focused on control and estimation of Li-ion battery systems and hybrid electrified vehicles. He received BS (2001) and MS (2003) degrees in the mechanical engineering from the Seoul National University, South Korea. Prior to joining the UMD, he was a research engineer at Ann Arbor Technical Center, Southwest Research Institute where he worked on vehicle modeling and control algorithm development for advanced powertrain and autonomous vehicles. From 2003 to 2008, he worked at Hyundai-Kia Motor Company on topics including design and calibration of powertrains such as internal combustion engines and automatic transmissions for improved sound quality. Dr. Kim has received SAE Russell S. Springer award for his outstanding technical paper in 2019. He has published 33 articles in archival journals and 38 papers in refereed conference proceedings and holds 4 patents.

His research includes modeling, simulation, optimization and control of dynamic systems in automotive, energy and transportation. His current research projects are focused on energy-efficient operation of electrified vehicles, smart cruise control of light-duty vehicles, modeling and control of vehicle thermal management systems, modeling and estimation of all-solid-state battery systems, and data-driven approaches to diagnosis and prognosis for degradation of lithium-ion battery systems. 

He serves as an Associate Editor of IEEE Transactions on Transportation Electrification.

Dr. Kyoung Hyun Kwak Mechanical Engineering

• Development of thermal management systems for EVs

• Development of personalized braking algorithms for EVs

Youyi Chen (2020-present) Mechanical Engineering

• Optimal thermal management of electric vehicles

Isaiah Oyewole  (2020-present) Industrial and Systems Engineering

co-advised by Dr. Chehade

• Data-driven state estimation of Li-ion batteries

Ruixin Zheng  (2022-present) Mechanical Engineering

• State of health estimation of Li-ion batteries

I am looking for a highly motivated PhD student who is interested in Reinforcement Learning and its application to vehicle control

I am looking for motivated MS student who are interested in the topics: 1) Li-ion battery state and parameter estimation, 2) optimal control of vehicle dynamics and powertrain operation

Seongki Kang  (2021-present) 

Prof. Je-Heon Han (2023-present) 

Yu He (2022) @ Stoneridge

Dissertation: Powertrain and Vehicle Longitudinal Motion Control for Personalized Eco-driving of P0+P4 Mild Hybrid Electric Vehicles

Lalith Chandra Gaddala (2023) @ TESLA

Matthew Wickman (2023) @ HARMAN International
Thesis: ANC System Performance Estimation Enabled Via CAE Simulation

Rodolfo Rodriguez (2019) @ GM
Thesis: A Study on the Impact of Driver Behavior on the Energy Consumption of Electric Vehicles in a Virtual Traffic Environment

Isaiah Oyewole (2019) PhD IMSE UM-Dearborn
Thesis: Optimal Model Reduction of Lithium-Ion Battery Systems Using Particle Swarm Optimization

Jihun Kim (2019) @ Rivian

Hadi Abbas (2018) @ Ford Motor Company
Thesis: Optimization of Energy-Efficient Speed Profile for Electrified Vehicles

Pranav Radha Krishna (2018) @ Honda

Kushagra Upreti (2018) @ FCA