Cell-Level State of Charge Estimation for Battery Packs Under Minimal Sensing

no code implementations • 17 Sep 2021 • Dong Zhang, Luis D. Couto, Ross Drummond, Shashank Sripad, Venkatasubramanian Viswanathan

This manuscript presents an algorithm for individual Lithium-ion (Li-ion) battery cell state of charge (SOC) estimation in a large-scale battery pack under minimal sensing, where only pack-level voltage and current are measured.

The promise of energy-efficient battery-powered urban aircraft

no code implementations • 16 Jun 2021 • Shashank Sripad, Venkatasubramanian Viswanathan

Improvements in rechargeable batteries are enabling several electric urban air mobility (UAM) aircraft designs with up to 300 miles of range with payload equivalents of up to 7 passengers.

Universal Battery Performance and Degradation Model for Electric Aircraft

no code implementations • 6 Jul 2020 • Alexander Bills, Shashank Sripad, William L. Fredericks, Matthew Guttenberg, Devin Charles, Evan Frank, Venkatasubramanian Viswanathan

We use this dataset to develop a battery performance and degradation model (Cellfit) which employs physics-informed machine learning in the form of Universal Ordinary Differential Equations (U-ODE's) combined with an electrochemical cell model and degradation models which include solid electrolyte interphase (SEI) growth, lithium plating, and charge loss.

Physics-informed machine learning