Research Output per Year
Research Output per Year
Overview
Personal Profile
Mingzhi Zhang is a dedicated power system researcher specializing in electric vehicle (EV) grid integration, distribution system modeling and control, distributed energy resources, and flexibility/resilience of the power system. He has developed various smart charging management strategies for large-scale EV integration and excels at creating innovative tools that connect mobility and grid analysis. He has worked with several utility companies to tackle EV integration challenges and accelerate transportation electrification.
Research Interests
Electric vehicle grid integration
Distributed energy resources
Flexibility/resilience of the power system
Machine learning/reinforcement learning
Education/Academic Qualification
PhD, Electrical Engineering, North Carolina State University
Master, Electrical Engineering, North China Electric Power University
Bachelor, Electrical Engineering, North China Electric Power University
Master, Electrical Engineering, University of Wisconsin-Milwaukee
Fingerprint
Dive into the research topics where Mingzhi Zhang is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
- 1 Similar Profiles
Collaborations and Top Research Areas From the Past 5 Years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
-
Analyzing Residential Charging Demand for Light-Duty Electric Vehicles in Colorado
Liu, Z., Alexeenko, P., Bruchon, M., Zhang, M. & Kisacikoglu, M. J., 2024. 6 p.Research output: Contribution to conference › Paper
-
Analyzing Residential Charging Demand for Light-Duty Electric Vehicles in Colorado: Preprint
Liu, Z., Alexeenko, P., Bruchon, M., Zhang, M. & Kisacikoglu, M. J., 2024. 9 p.Research output: Contribution to conference › Paper
-
EVs@Scale FUSE Fall '24 Deep Dive
Zhang, M., Sundarrajan, M., Schmidt, S., Chu, J., Pennington, T., Panossian, N., Paudyal, P., Wang, W., Manne, N., Choi, J., Haines, T., Mammoli, A., Moog, E., Vining, W., Hashmi, A., Ucer, E., Hatagishi, Y. & Bennett, J., 2024, 101 p.Research output: NREL › Presentation
-
Optimal Managed Fast-Charging Model for Electric Vehicle Fleets with High Utilization and Multiple Charge-Acceptance Curves
Campos, G., Zhang, M. & Mann, M., 2024. 5 p.Research output: Contribution to conference › Paper
-
Electric Vehicles at Scale (EVs@Scale) Laboratory Consortium Deep-Dive Technical Meeting: May 18, 2023
Harper, J., Ghosh, S., Zhang, M., Sundarrajan, M. K. C., Lohse, J. & Edie, C.-A., 2023, 107 p.Research output: NREL › Presentation