  This paper proposes an accurate and efficient Universal Adaptive Stabilizer
(UAS) based online parameters estimation technique for a 400 V Li-ion battery
bank. The battery open circuit voltage, parameters modeling the transient
response, and series resistance are all estimated in a single real-time test.
In contrast to earlier UAS based work on individual battery packs, this work
does not require prior offline experimentation or any post-processing. Real
time fast convergence of parameters' estimates with minimal experimental effort
enables self-update of battery parameters in run-time. The proposed strategy is
mathematically validated and its performance is demonstrated on a 400 V, 6.6 Ah
Li-ion battery bank powering the induction motor driven prototype electric
vehicle (EV) traction system.
