Our Group

We focus on modeling, estimation, optimization, and control of energy storage (e.g., battery, supercapacitor, fuel cell, flywheel, etc.) for electrified vehicles and renewable energy systems.

Using energy storage as a bridge, we are thrilled to connect automotive, transportation, and power system communities through interdisciplinary projects and fill the gap between different energy sectors. Our lab is dedicated to an efficient, reliable, and clean power/transportation system, and ultimately, a green world.

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Openings: Our lab is looking for passionate and highly motivated Postdoc Researchers and PhD students. Several positions will be available in energy storage areas, including but not limited to:

• Advanced Battery Management System:
  • Battery string- and pack-level state/parameter estimation
  • Mechanism of cell-to-cell variation among parallel-connected battery cells
  • Data-driven methods for: 1) detecting cell-level faults in battery packs; 2) estimating battery remaining useful life; and 3) fast evaluating/classifying the used battery cells
• Applications of Energy Storage in Renewable Energy Systems
  • G2V/V2G techniques for smart cities
  • Reusing batteries retiring from vehicles
  • Economy analysis of energy storage (e.g., battery, fuel cell, supercapacitor, flywheel, etc)

Economy analysis of energy storage (e.g., battery, fuel cell, supercapacitor, flywheel, etc)

Preferred Qualifications: Applicants are expected to have BS/MS/PhD degrees in Automotive Engineering, Electrical Engineering, Control and Automation, Power and Energy, Applied Mathematics, or other related fields.

Prospective candidates, including visiting PhD students in related areas, are welcome to contact Dr. Song at [email protected] with your CV, transcripts, and 1-page cover letter introducing your research background and interest.