We design and develop device and methods for battery testing, diagnostics, state-of-charge (SOC), and state-of-health (SOH) estimations.
We study and develop battery conventional and fractional equivalent circuit and physical models, their identifiability and parameter estimation problems in both time and frequency domains, by using advanced least-squares and Bayesian inference algorithms.