State of charge estimation of lithium-ion batteries using adaptive neuro fuzzy inference system

A battery’s state of charge (SOC) is used to assess its residual capacity. It a very important parameter for the control electric vehicle (EV). The objective this paper estimate SOC lithium-ion battery (LIB) using an adaptive neuro-fuzzy inference system (ANFIS) and artificial neural network (ANN) because must be estimated from measurable parameters such as current, voltage or temperature. Two intelligent estimation methods are compared according their suitability accuracy. ANN more precise perfectly represents experimental data.