Online Model Identification and State-of-Charge Estimate for Lithium-Ion Battery With a Recursive Total Least Squares-Based Observer
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Zhongbao Wei | Changfu Zou | King-Jet Tseng | Boon Hee Soong | Feng Leng | B. Soong | K. Tseng | C. Zou | Zhongbao Wei | F. Leng
[1] Mohammad Farrokhi,et al. State-of-Charge Estimation for Lithium-Ion Batteries Using Neural Networks and EKF , 2010, IEEE Transactions on Industrial Electronics.
[2] Sofiène Tahar,et al. Lyapunov-Based Adaptive State of Charge and State of Health Estimation for Lithium-Ion Batteries , 2015, IEEE Transactions on Industrial Electronics.
[3] Yuang-Shung Lee,et al. Soft Computing for Battery State-of-Charge (BSOC) Estimation in Battery String Systems , 2008, IEEE Transactions on Industrial Electronics.
[4] Le Yi Wang,et al. Robust and Adaptive Estimation of State of Charge for Lithium-Ion Batteries , 2015, IEEE Transactions on Industrial Electronics.
[5] Maria Skyllas-Kazacos,et al. Adaptive estimation of state of charge and capacity with online identified battery model for vanadium redox flow battery , 2016 .
[6] Binyu Xiong,et al. Enhanced online model identification and state of charge estimation for lithium-ion battery with a FBCRLS based observer , 2016 .
[7] Mohammad Farrokhi,et al. Online State-of-Health Estimation of VRLA Batteries Using State of Charge , 2013, IEEE Transactions on Industrial Electronics.
[8] Chris Manzie,et al. Multi-time-scale observer design for state-of-charge and state-of-health of a lithium-ion battery , 2016 .
[9] F. Baronti,et al. Battery Management System: An Overview of Its Application in the Smart Grid and Electric Vehicles , 2013, IEEE Industrial Electronics Magazine.
[10] Hongwen He,et al. Lithium-Ion Battery Pack State of Charge and State of Energy Estimation Algorithms Using a Hardware-in-the-Loop Validation , 2017, IEEE Transactions on Power Electronics.
[11] Carlos E. Davila,et al. Efficient, high performance, subspace tracking for time-domain data , 2000, IEEE Trans. Signal Process..
[12] Guangjun Liu,et al. Estimation of Battery State of Charge With $H_{\infty}$ Observer: Applied to a Robot for Inspecting Power Transmission Lines , 2012, IEEE Transactions on Industrial Electronics.
[13] Le Yi Wang,et al. Integrated System Identification and State-of-Charge Estimation of Battery Systems , 2013, IEEE Transactions on Energy Conversion.
[14] Boon-Hee Soong,et al. An adaptive model for vanadium redox flow battery and its application for online peak power estimation , 2017 .
[15] Stefan Werner,et al. Analysis of the Gradient-Descent Total Least-Squares Adaptive Filtering Algorithm , 2014, IEEE Transactions on Signal Processing.
[16] Hongwen He,et al. A data-driven multi-scale extended Kalman filtering based parameter and state estimation approach of lithium-ion olymer battery in electric vehicles , 2014 .
[17] Rui Xiong,et al. A data-driven based adaptive state of charge estimator of lithium-ion polymer battery used in electric vehicles , 2014 .
[18] Huazhen Fang,et al. Model-Based Condition Monitoring for Lithium-ion Batteries , 2015 .
[19] Van-Huan Duong,et al. Online state of charge and model parameters estimation of the LiFePO4 battery in electric vehicles using multiple adaptive forgetting factors recursive least-squares , 2015 .
[20] Guangjun Liu,et al. An Adaptive Unscented Kalman Filtering Approach for Online Estimation of Model Parameters and State-of-Charge of Lithium-Ion Batteries for Autonomous Mobile Robots , 2015, IEEE Transactions on Control Systems Technology.
[21] Kai Zhao,et al. Evaluation on State of Charge Estimation of Batteries With Adaptive Extended Kalman Filter by Experiment Approach , 2013, IEEE Transactions on Vehicular Technology.
[22] Wei Qiao,et al. A Rayleigh Quotient-Based Recursive Total-Least-Squares Online Maximum Capacity Estimation for Lithium-Ion Batteries , 2015, IEEE Transactions on Energy Conversion.
[23] Federico Baronti,et al. Online Adaptive Parameter Identification and State-of-Charge Coestimation for Lithium-Polymer Battery Cells , 2014, IEEE Transactions on Industrial Electronics.
[24] Maria Skyllas-Kazacos,et al. Online state of charge and model parameter co-estimation based on a novel multi-timescale estimator for vanadium redox flow battery , 2016 .
[25] Chris Manzie,et al. A Framework for Simplification of PDE-Based Lithium-Ion Battery Models , 2016, IEEE Transactions on Control Systems Technology.
[26] Dongpu Cao,et al. Battery Health Prognosis for Electric Vehicles Using Sample Entropy and Sparse Bayesian Predictive Modeling , 2016, IEEE Transactions on Industrial Electronics.
[27] Le Yi Wang,et al. Enhanced Identification of Battery Models for Real-Time Battery Management , 2011, IEEE Transactions on Sustainable Energy.
[28] Mehdi Gholizadeh,et al. Estimation of State of Charge, Unknown Nonlinearities, and State of Health of a Lithium-Ion Battery Based on a Comprehensive Unobservable Model , 2014, IEEE Transactions on Industrial Electronics.
[29] Gregory L. Plett,et al. Recursive approximate weighted total least squares estimation of battery cell total capacity , 2011 .
[30] T. Kim,et al. A Hybrid Battery Model Capable of Capturing Dynamic Circuit Characteristics and Nonlinear Capacity Effects , 2011, IEEE Transactions on Energy Conversion.