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

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. (C) 2012 Elsevier B.V. All rights reserved.