Xiaopeng Chen - IEEE Xplore Author Profile

Showing 1-5 of 5 results

Filter Results

Show

Results

This paper presents a robust sliding-mode observer (RSMO) for state-of-charge (SOC) estimation of a lithium-polymer battery (LiPB) in electric vehicles (EVs). A radial basis function (RBF) neural network (NN) is employed to adaptively learn an upper bound of system uncertainty. The switching gain of the RSMO is adjusted based on the learned upper bound to achieve asymptotic error convergence of th...Show More
A robust sliding mode observer (SMO) based on a radial basis function (RBF) neural network (NN) is presented for battery state of charge (SOC) estimation. Comparing with an ordinary SMO for the SOC estimation, the robust SMO employs the RBF NN to learn the upper bound of system uncertainties caused by the discrepancy between a battery equivalent circuit model (BECM) and a battery. The output of th...Show More
An adaptive gain sliding mode observer (AGSMO) for battery state of charge (SOC) estimation based on a combined battery equivalent circuit model (CBECM) is presented. The errors convergences of the AGSMO for the SOC estimation are proved by Lyapunov stability theory. The AGSMO has a capability of compensating modeling errors caused by the parameters variation of the CBECM and minimizing chattering...Show More
Environmental issues triggered by emissions from conventional vehicles have accelerated the adaptation of electric vehicles (EVs) for urban transportation. The most favorable battery technology which can closely fulfill the minimum goals of the United States Advanced Battery Consortium (USABC) for commercialisation of EVs are the lithium-ion batteries. Although there are various types of lithium-i...Show More
A well-known Luenburger observer and two sliding mode observers (SMO) for battery state of charge (SOC) estimation based on an improved battery equivalent circuit are presented. The comparison of their SOC estimation results is discussed. The testing data under different discharge current profiles generated by DUALFOIL battery simulation program are used to extract the circuit model parameters and...Show More