Commercialization
Taking low-cost expansion sensing out of the lab and toward the manufacturing line.
Democratizing battery expansion measurements
2025–2026MTRAC Advanced Transportation · Michigan Economic Development Corporation / Michigan Strategic Fund
Technical lead and proposal co-author · PI Prof. Jason B. Siegel
Translating low-cost inductive expansion sensing out of the lab and toward manufacturing use. Formation is where the SEI first grows, and it shows up as the cell's first irreversible expansion; measured on every cell, it can reveal defects and let formation protocols be shortened. Selected through a competitive process ending in an in-person pitch to an oversight committee of industry and venture professionals.
- Cost per channel
- ~$50 vs ~$2,000 for the LVDT standard
- Resolution
- 0.5 µm
- Deployment
- 120 fixtures
- Maturity
- TRL 6
- Co-wrote the funded proposal and lead the technical programme: sensor hardware revisions, calibration and temperature correction, and the formation and cycle-life measurement campaign behind it.
- Built the market and competitive analysis, identifying research and pilot-scale labs as the beachhead where the cost gap matters most.
- Exploring licensing and startup pathways for the technology. No entity has been formed.
Customer discovery for battery expansion measurement
2026NSF I-Corps Great Lakes · National Science Foundation
Entrepreneurial Lead
Completed the University of Michigan Summer 2026 cohort, running 11 customer-discovery interviews across cell manufacturing and battery research to test the market hypotheses behind the expansion sensor.
Intellectual property
All assigned to the Regents of the University of Michigan.
Accelerated battery lifetime simulations using adaptive inter-cycle extrapolation algorithm
A. G. Stefanopoulou, V. Sulzer, P. Mohtat, S. Pannala, J. B. Siegel
US App. 18/122,361pending2023
Simulates years of battery aging in minutes by adaptively extrapolating between cycles while still resolving degradation within them.
A. G. Stefanopoulou, J. B. Siegel, S. Pannala, T. Cai, M. Zhang
US 11,355,824 B2granted2022
Detects an internal short circuit from the cell's mechanical response, catching a failure mode that electrical signatures alone can miss.
Where it stands
The technology is at TRL 6: validated in a laboratory environment, not yet in production. No company has been formed. I am exploring licensing and startup pathways alongside the research.