Estimating the State of Charge of Lithium-ion Battery based on Sliding Mode Observer
Authors:
- Yan MaYMYan Ma
- Bingsi LiBLBingsi Li
- Yongqiang XieYXYongqiang Xie
- Hong ChenHCHong Chen
- 1 January 2016
- journal article
- Published by Elsevier in IFAC-PapersOnLine
- Vol. 49 (11) , 54-61
Abstract
No abstract availableThis publication has 22 references indexed in Scilit:
- A novel state-of-charge estimation method for lithium-ion battery pack of electric vehicles2015
- A comprehensive review on estimation strategies used in hybrid and battery electric vehiclesRenewable and Sustainable Energy Reviews, 2015
- A Ni–Cd battery model considering state of charge and hysteresis effectsJournal of Power Sources, 2015
- Nonlinear Robust Observers for State-of-Charge Estimation of Lithium-Ion Cells Based on a Reduced Electrochemical ModelIEEE Transactions on Control Systems Technology, 2015
- Robust sliding mode observer using RBF neural network for lithium-ion battery state of charge estimation in electric vehicles2014
- Adaptive gain sliding mode observer for state of charge estimation based on combined battery equivalent circuit modelComputers & Chemical Engineering, 2014
- Battery state of the charge estimation using Kalman filteringJournal of Power Sources, 2013
- State-of-charge estimation for lithium-ion batteries under various operating conditions using an equivalent circuit modelComputers & Chemical Engineering, 2012
- A comparative study of equivalent circuit models for Li-ion batteriesJournal of Power Sources, 2012
- A high gain nonlinear observer: application to the control of an unstable nonlinear processComputers & Chemical Engineering, 2004