The paper presents a new approach for state estimation of lithium–iron phosphate batteries. Lithium–iron phosphate/graphite batteries are very intricate in state of charge estimation since the open circuit volt. Lithium-ion batteries are the most favoured battery technology in many upcoming applications t. The most popular filter within the family of Bayesian filters is the Kalman filter,,,,,,,. The Kalman filter is an analytical solution of the Bayesian filter for Gaussia. 3.1. MeasurementsFor validating the algorithm current profiles were run on a battery cycler which shall represent specific applications. Two applications wer. A framework for dealing with difficult and ambiguous batteries like LiFePO4/graphite batteries was presented. The ambiguous range of the open circuit voltage is stochastically mo. 1.J. GoodenoughJournal of Power Sources, 174 (2) (2007), pp. 996-1000View PDFView ar.