VRLA battery parameter identification using pseudo random binary sequences (PRBS)

This paper expands the use of maximum length sequences as tools for parameter estimation within electrochemical cells, facilitating the identification of Randles model equivalent circuit parameter values which can be subsequently employed in state-of-charge and state-of-health algorithms.