Cheol Lee, Ph.D.

Professor, Industrial and Manufacturing Systems Engineering
Cheol Lee
College of Engineering and Computer Science
Industrial and Manufacturing Systems Engineering
[email protected]
313-583-6792
2241 Heinz Prechter Engineering Complex | 4901 Evergreen Road | Dearborn, MI 48128
link

Research Areas:

Integrated Design and Manufacturing, Machine Learning, Optimization, and Intelligent Systems, Power Electronics and Energy Systems, Robotics

Biography and Education

Dr. Lees 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 蹤獲扦D in collaboration with Jeong, S. (PI) and Dolan, K. (Co-PI) at Michigan State University (MSU), Total Award: $1,195,652 (蹤獲扦D 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), 蹤獲扦-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), 蹤獲扦-Ford Alliance, Ford Motor Company. 

Selected Publications

  • Makki, M., Lee, C.W., and Ayoub, G., 2023, , Batteries, Vol. 9, No. 10, 502.
  • Xiang, L., Lee, C.W., Zikanov, O., Abuhegazy, M., and Poroseva, S., 2023, "" 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, Polymer Degradation and Stability, Vol. 216, 110469. 
  • Makki, M., Ayoub, G., and Lee, C.W., 2023, International Journal of Solids and Structures, Vol. 264, 112102.
  • Xiang, L., Lee, C.W., Zikanov, O., and Hsu, C-C, 2022, , Applied Thermal Engineering, Vol. 201, Part A, 117641. 
  • Lee, C.W., 2020, "," Journal of Manufacturing Systems, Vol. 56, pp. 622-630.
  • Hong, Y., and Lee, C.W., 2018, "" Journal of Energy Storage, Vol. 17, pp. 507-514.
  • Lee, C.W., Hong, Y., Hayrapetyan, M., Yang, X.G., and Xi, Z., 2018, , Journal of Applied Electrochemistry, Vol. 48, No. 3, pp. 365-377.