Modelling of VRLA batteries over operational temperature range using Pseudo Random Binary Sequences

► Parameter examination of batteries over operating temperature range using perturbation signals. ► Potential indicators identified for available capacity over temperature range. ► Findings inform State-of-Charge (SoC) and State-of-Health (SoH) estimation techniques. This paper continues previous work concerning the use of maximum length sequences within parameter estimation for batteries. Using the familiar Randles’ model batteries are examined over typical operational temperatures for variations in readily identifiable equivalent circuit parameters, using previously identified methods [1]. This analysis is used to present characteristics which can be subsequently used to inform the design of an online State-of-Charge (SoC) and State-of-Health (SoH) system for these batteries.