Cheol Lee, Ph.D.
Professor, Industrial and Manufacturing Systems Engineering
College of Engineering and Computer Science
Industrial and Manufacturing Systems Engineering
313-583-6792
2241 Heinz Prechter Engineering Complex | 4901 Evergreen Road |
Dearborn, MI
48128
Research Areas:
Integrated Design and Manufacturing, Machine Learning, Optimization, and Intelligent Systems, Power Electronics and Energy Systems, RoboticsBiography and Education
Dr. Lee’s research goal is to make fundamental advances in reduced-order modeling, estimation, control, and optimization techniques and explore their applications in developing cost-effective solutions for sustainable and eco-friendly manufacturing and energy industries. Recent research activities have focused on development of a new cyber-physical manufacturing paradigm through knowledge-based digitalization, reduced-order modeling (ROM) of battery thermal management systems, and digital-twin technologies for tracking of aging in lithium-ion batteries.
Education
Ph.D., Mechanical Engineering, Purdue University, 2000.
M.S., Precision Engineering and Mechatronics, Korea Advanced Institute of Science and Technology (KAIST), 1994.
B.S., Precision Engineering and Mechatronics, KAIST, 1992.
Teaching and Research
Research
- "Collaborative Research: CPS: Medium: On-Line Control and Soft-Sensing for Thermal Food Processing Based on a Reduced-Order Modeling Approach," 12/2023 - 11/2026, Lee, C.W. (Lead PI) and Zikanov, O. (Co-PI) at the UMD in collaboration with Jeong, S. (PI) and Dolan, K. (Co-PI) at Michigan State University (MSU), Total Award: $1,195,652 (UMD Share: $695,652), USDA-NIFA (via NSF Cyber-Physical Systems Program).
- “MRI: Track 1 Acquisition of an Accelerating Rate Calorimeter System for Multidisciplinary Research, Education and Outreach,” 2023-26, Lee. C.W. (Co-PI) with Chen, L. (PI), Zhou, X., Kim, Y., and Wang, M. (Co-PIs), NSF.
- “Development of a Lithium Ion Battery Separator Aging Model,” 2019-22, Lee, C.W. (PI) with Ayoub, G. (Co-PI), UM-Ford Alliance, Ford Motor Company.
- "Reduced-Order Modeling of Battery Thermal Management Systems," 2018-19, Lee, C.W. (PI) with Zikanov, O. (Co-PI), General Motors.
- “Online Diagnosis for Degradation of Battery Cell Capacity and Power Capability Considering Temperature and Cell-to-Cell Variability,” 2013-14, Lee, C.W. (Co-PI) with Xi, Z. (PI), UM-Ford Alliance, Ford Motor Company.
Selected Publications
- Makki, M., Lee, C.W., and Ayoub, G., 2023, “Stress Distribution inside a Lithium-Ion Battery Cell During Fast Charging and Its Effect on Degradation of Separator,” Batteries, Vol. 9, No. 10, 502.
- Xiang, L., Lee, C.W., Zikanov, O., Abuhegazy, M., and Poroseva, S., 2023, "Reduced Order Modeling of Transport of Infectious Aerosols in Ventilated Rooms," Physics of Fluids, Vol. 35, Issue 7, 077122 (this paper was chosen as a Featured Article of Issue 7 and its companion article appeared as a Scilight - a science highlight showcasing the most interesting research across physical sciences published in AIP Publishing Journals).
- Makki, M., Ayoub, G., Lee, C.W., Bae, C., and Colin, X., 2023, “Effect of Battery Fast Cyclic Charging on the Mechanical and Fracture Behavior of the Lithium-Ion Battery Separator,” Polymer Degradation and Stability, Vol. 216, 110469.
- Makki, M., Ayoub, G., and Lee, C.W., 2023, “Modeling the Anisotropic Behavior of Highly Orthotropic Lithium-Ion Batteries Polymer Separators,” International Journal of Solids and Structures, Vol. 264, 112102.
- Xiang, L., Lee, C.W., Zikanov, O., and Hsu, C-C, 2022, “Efficient Reduced Order Model for Heat Transfer in a Battery Pack of an Electric Vehicle,” Applied Thermal Engineering, Vol. 201, Part A, 117641.
- Lee, C.W., 2020, "On-Line Model Identification for the Machining Process Based on Multirate Process Data," Journal of Manufacturing Systems, Vol. 56, pp. 622-630.
- Hong, Y., and Lee, C.W., 2018, "Pareto Fronts for Multiobjective Optimal Design of the Lithium-Ion Battery Cell," Journal of Energy Storage, Vol. 17, pp. 507-514.
- Lee, C.W., Hong, Y., Hayrapetyan, M., Yang, X.G., and Xi, Z., 2018, “Derivation and Tuning of a Solvable and Compact Differential-Algebraic Equations Model for LiFePO4-Graphite Li-Ion Batteries,” Journal of Applied Electrochemistry, Vol. 48, No. 3, pp. 365-377.