Sensor-Lean
BMS Technology
Electric vehicle battery management systems heavily rely on onboard voltage sensors, creating reliability concerns when sensors fail. SlimBatt reduces dependency on onboard sensors by combining hardware sensor reduction with simplified state estimation algorithms—retaining accuracy while cutting complexity.
Company & Technology Highlights
An executive snapshot of our patented state estimation architecture, product readiness, and funding progress.
Core Technology
Reimagines the entire battery pack as a single average model, distributing state estimation to each individual cell to reduce hardware and software complexity.
Learn More arrow_forwardProduct (MVP)
A complete BMS device integrating hardware (MCU) and proprietary software algorithms for State of Charge (SoC), State of Health (SoH), and State of Power (SoP).
View Product arrow_forwardTRL 3 to TRL 4
Currently validated with a ~15V lab-scale prototype. Actively advancing toward ~150V industrial-scale prototyping and testing in EV battery packs.
View Roadmap arrow_forwardCommercial Strategy
Targeting suppliers and battery companies without in-house BMS before scaling to major OEMs. Offering both direct device sales and algorithm licensing.
Explore Strategy arrow_forwardLeadership Team
Led by Jun Chen (CEO), Luke Nuculaj (CTO), and Ali Irshayyid (COO) from Oakland University.
Meet the Team arrow_forwardFunding & IP Status
Over $800k in non-dilutive grant funding secured. Provisional patent filed (Serial No. 63/795,912) with utility patent in process.
View Milestones arrow_forwardPartner with SlimBatt
We are seeking ~$600k and industrial partners to validate our 150V board in EV battery packs over the next 1–2 years.