Estimation of State of Charge, Unknown Nonlinearities, and State of Health of a Lithium-Ion Battery Based on a Comprehensive Unobservable Model
暂无分享,去创建一个
[1] A. Miraoui,et al. Review of adaptive systems for lithium batteries State-of-Charge and State-of-Health estimation , 2012, 2012 IEEE Transportation Electrification Conference and Expo (ITEC).
[2] Christopher Edwards,et al. Adaptive Sliding-Mode-Observer-Based Fault Reconstruction for Nonlinear Systems With Parametric Uncertainties , 2008, IEEE Transactions on Industrial Electronics.
[3] Zechang Sun,et al. Online SOCEstimation ofHigh-power Lithium-ion Batteries UsedonHEVs , 2006 .
[4] Yiran Hu,et al. Battery state of charge estimation in automotive applications using LPV techniques , 2010, Proceedings of the 2010 American Control Conference.
[5] Min Chen,et al. Accurate electrical battery model capable of predicting runtime and I-V performance , 2006, IEEE Transactions on Energy Conversion.
[6] F.R. Salmasi,et al. State of charge estimation for batteries in HEV using locally linear model tree (LOLIMOT) , 2007, 2007 International Conference on Electrical Machines and Systems (ICEMS).
[7] Chenghui Cai,et al. Artificial neural network in estimation of battery state of-charge (SOC) with nonconventional input variables selected by correlation analysis , 2002, Proceedings. International Conference on Machine Learning and Cybernetics.
[8] Mohammad Farrokhi,et al. Online State-of-Health Estimation of VRLA Batteries Using State of Charge , 2013, IEEE Transactions on Industrial Electronics.
[9] Sun Zechang,et al. A new SOH prediction concept for the power lithium-ion battery used on HEVs , 2009, 2009 IEEE Vehicle Power and Propulsion Conference.
[10] Jonghoon Kim,et al. State-of-Charge Estimation and State-of-Health Prediction of a Li-Ion Degraded Battery Based on an EKF Combined With a Per-Unit System , 2011, IEEE Transactions on Vehicular Technology.
[11] Alain Oustaloup,et al. On Lead-Acid-Battery Resistance and Cranking-Capability Estimation , 2010, IEEE Transactions on Industrial Electronics.
[12] Gregory L. Plett,et al. Sigma-point Kalman filtering for battery management systems of LiPB-based HEV battery packs Part 2: Simultaneous state and parameter estimation , 2006 .
[13] 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.
[14] Seongjun Lee,et al. State-of-charge and capacity estimation of lithium-ion battery using a new open-circuit voltage versus state-of-charge , 2008 .
[15] Gregory L. Plett,et al. Extended Kalman filtering for battery management systems of LiPB-based HEV battery packs: Part 2. Modeling and identification , 2004 .
[16] 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.
[17] Babak Fahimi,et al. Online Estimation of State of Charge in Li-Ion Batteries Using Impulse Response Concept , 2012, IEEE Transactions on Smart Grid.
[18] Giovanni Fiengo,et al. Lithium-ion battery state of charge estimation with a Kalman Filter based on a electrochemical model , 2008, 2008 IEEE International Conference on Control Applications.
[19] Gregory L. Plett,et al. Extended Kalman filtering for battery management systems of LiPB-based HEV battery packs: Part 3. State and parameter estimation , 2004 .
[20] David A. Stone,et al. Nonlinear observers for predicting state-of-charge and state-of-health of lead-acid batteries for hybrid-electric vehicles , 2005, IEEE Transactions on Vehicular Technology.
[21] Chunbo Zhu,et al. State-of-Charge Determination From EMF Voltage Estimation: Using Impedance, Terminal Voltage, and Current for Lead-Acid and Lithium-Ion Batteries , 2007, IEEE Transactions on Industrial Electronics.
[22] Guangjun Liu,et al. A battery state of charge estimation method using sliding mode observer , 2008, 2008 7th World Congress on Intelligent Control and Automation.
[23] Tsorng-Juu Liang,et al. Estimation of Battery State of Health Using Probabilistic Neural Network , 2013, IEEE Transactions on Industrial Informatics.
[24] C. Fennie,et al. Fuzzy logic modelling of state-of-charge and available capacity of nickel/metal hydride batteries , 2004 .
[25] Xu Wang,et al. A nonlinear adaptive observer approach for state of charge estimation of lithium-ion batteries , 2011, Proceedings of the 2011 American Control Conference.
[26] Sergio M. Savaresi,et al. Kalman Filter SoC estimation for Li-Ion batteries , 2011, 2011 IEEE International Conference on Control Applications (CCA).
[27] Mohammad Farrokhi,et al. State-of-Charge Estimation for Lithium-Ion Batteries Using Neural Networks and EKF , 2010, IEEE Transactions on Industrial Electronics.
[28] Yuang-Shung Lee,et al. Soft Computing for Battery State-of-Charge (BSOC) Estimation in Battery String Systems , 2008, IEEE Transactions on Industrial Electronics.
[29] C. Kral,et al. A method for online capacity estimation of lithium ion battery cells using the state of charge and the transferred charge , 2010, 2010 IEEE International Conference on Sustainable Energy Technologies (ICSET).
[30] Seongjun Lee,et al. Complementary Cooperation Algorithm Based on DEKF Combined With Pattern Recognition for SOC/Capacity Estimation and SOH Prediction , 2012, IEEE Transactions on Power Electronics.
[31] Il-Song Kim,et al. The novel state of charge estimation method for lithium battery using sliding mode observer , 2006 .
[32] Christopher Edwards,et al. Sliding-mode observers , 2007 .
[33] IL-Song Kim,et al. A Technique for Estimating the State of Health of Lithium Batteries Through a Dual-Sliding-Mode Observer , 2010, IEEE Transactions on Power Electronics.