State-of-Charge and State-of-Health Lithium-Ion Batteries’ Diagnosis According to Surface Temperature Variation
暂无分享,去创建一个
Amrane Oukaour | Hicham Chaoui | Youssef Slamani | Hamid Gualous | Jalal Sabor | Asmae El Mejdoubi | H. Gualous | H. Chaoui | J. Sabor | A. Oukaour | Y. Slamani
[1] P. Sicard,et al. Neural network modeling of cold-gas thrusters for a spacecraft formation flying test-bed , 2012, IECON 2012 - 38th Annual Conference on IEEE Industrial Electronics Society.
[2] Patrick Lyonnet,et al. A Kalman Optimization Approach for Solving Some Industrial Electronics Problems , 2012, IEEE Transactions on Industrial Electronics.
[3] Faa-Jeng Lin,et al. DSP-Based Probabilistic Fuzzy Neural Network Control for Li-Ion Battery Charger , 2012, IEEE Transactions on Power Electronics.
[4] Antoni Szumanowski,et al. Battery Management System Based on Battery Nonlinear Dynamics Modeling , 2008, IEEE Transactions on Vehicular Technology.
[5] Guojun Li,et al. State-of-charge estimation for lithium ion batteries via the simulation of lithium distribution in the electrode particles , 2014 .
[6] 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.
[7] Hicham Chaoui,et al. Accurate state of charge (SOC) estimation for batteries using a reduced-order observer , 2011, 2011 IEEE International Conference on Industrial Technology.
[8] N. Omar,et al. Lithium iron phosphate based battery: Assessment of the aging parameters and development of cycle life model , 2014 .
[9] 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.
[10] Wei He,et al. State of charge estimation of lithium-ion batteries using the open-circuit voltage at various ambient temperatures , 2014 .
[11] Tahsin Koroglu,et al. A comprehensive review on estimation strategies used in hybrid and battery electric vehicles , 2015 .
[12] S. Ge. Lyapunov Design , 2018, The Control Systems Handbook.
[13] Le Yi Wang,et al. Integrated System Identification and State-of-Charge Estimation of Battery Systems , 2013, IEEE Transactions on Energy Conversion.
[14] Henk Jan Bergveld,et al. Battery Aging and Its Influence on the Electromotive Force , 2007 .
[15] Hamid Gualous,et al. Predicting lithium-ion battery degradation for efficient design and management , 2013, 2013 World Electric Vehicle Symposium and Exhibition (EVS27).
[16] Mohammad Farrokhi,et al. State-of-Charge Estimation for Lithium-Ion Batteries Using Neural Networks and EKF , 2010, IEEE Transactions on Industrial Electronics.
[17] Mario Paolone,et al. Surface temperature estimation of li-ion battery via thermal impulse response technique , 2015, 2015 IEEE Applied Power Electronics Conference and Exposition (APEC).
[18] Moon-Young Kim,et al. A Chain Structure of Switched Capacitor for Improved Cell Balancing Speed of Lithium-Ion Batteries , 2014, IEEE Transactions on Industrial Electronics.
[19] Jr. J.J. LaViola,et al. A comparison of unscented and extended Kalman filtering for estimating quaternion motion , 2003, Proceedings of the 2003 American Control Conference, 2003..
[20] P. P. J. van den Bosch,et al. Prediction of Battery Behavior Subject to High-Rate Partial State of Charge , 2009, IEEE Transactions on Vehicular Technology.
[21] J. Bernard,et al. Calendar aging of commercial graphite/LiFePO4 cell - Predicting capacity fade under time dependent storage conditions , 2014 .
[22] Jonghoon Kim,et al. Stable Configuration of a Li-Ion Series Battery Pack Based on a Screening Process for Improved Voltage/SOC Balancing , 2012, IEEE Transactions on Power Electronics.
[23] Kyung Min Jeong,et al. Effects of Capacity Ratios between Anode and Cathode on Electrochemical Properties for Lithium Polymer Batteries , 2015 .
[24] Syed Islam,et al. A battery management system for stand alone photovoltaic energy systems , 1999, Conference Record of the 1999 IEEE Industry Applications Conference. Thirty-Forth IAS Annual Meeting (Cat. No.99CH36370).
[25] Dirk Uwe Sauer,et al. Experimental investigation of the lithium-ion battery impedance characteristic at various conditions and aging states and its influence on the application , 2013 .
[26] Alon Kuperman,et al. Battery Charger for Electric Vehicle Traction Battery Switch Station , 2013, IEEE Transactions on Industrial Electronics.
[27] Mohammad Farrokhi,et al. Online State-of-Health Estimation of VRLA Batteries Using State of Charge , 2013, IEEE Transactions on Industrial Electronics.
[28] D. Gingras,et al. Comparison between the unscented Kalman filter and the extended Kalman filter for the position estimation module of an integrated navigation information system , 2004, IEEE Intelligent Vehicles Symposium, 2004.
[29] Zheng Chen,et al. State of Charge Estimation of Lithium-Ion Batteries in Electric Drive Vehicles Using Extended Kalman Filtering , 2013, IEEE Transactions on Vehicular Technology.
[30] Babak Fahimi,et al. Online Estimation of State of Charge in Li-Ion Batteries Using Impulse Response Concept , 2012, IEEE Transactions on Smart Grid.
[31] N. Omar,et al. Development of an Advanced Two-Dimensional Thermal Model for Large size Lithium-ion Pouch Cells , 2014 .
[32] Hicham Chaoui,et al. Adaptive Fuzzy Logic Control of Permanent Magnet Synchronous Machines With Nonlinear Friction , 2012, IEEE Transactions on Industrial Electronics.
[33] Federico Baronti,et al. Online Adaptive Parameter Identification and State-of-Charge Coestimation for Lithium-Polymer Battery Cells , 2014, IEEE Transactions on Industrial Electronics.
[34] Kai Strunz,et al. Electric Vehicle Battery Technologies , 2013 .
[35] Teresa Orlowska-Kowalska,et al. Performance Improvement of Industrial Drives With Mechanical Elasticity Using Nonlinear Adaptive Kalman Filter , 2008, IEEE Transactions on Industrial Electronics.
[36] Dirk Uwe Sauer,et al. From accelerated aging tests to a lifetime prediction model: Analyzing lithium-ion batteries , 2013, 2013 World Electric Vehicle Symposium and Exhibition (EVS27).
[37] Tsorng-Juu Liang,et al. Estimation of Battery State of Health Using Probabilistic Neural Network , 2013, IEEE Transactions on Industrial Informatics.
[38] Yi Ding,et al. The Estimation of Temperature Distribution in Cylindrical Battery Cells Under Unknown Cooling Conditions , 2014, IEEE Transactions on Control Systems Technology.
[39] Terry Hansen,et al. Support vector based battery state of charge estimator , 2005 .
[40] Joeri Van Mierlo,et al. Vehicle power flow simulations based on trajectories with inductive charging systems: A case study , 2013, 2013 15th European Conference on Power Electronics and Applications (EPE).
[41] Il-Song Kim,et al. Nonlinear State of Charge Estimator for Hybrid Electric Vehicle Battery , 2008, IEEE Transactions on Power Electronics.
[42] Dirk Uwe Sauer,et al. Comparative study of a structured neural network and an extended Kalman filter for state of health determination of lithium-ion batteries in hybrid electricvehicles , 2013, Eng. Appl. Artif. Intell..
[43] Hongwen He,et al. State-of-Charge Estimation of the Lithium-Ion Battery Using an Adaptive Extended Kalman Filter Based on an Improved Thevenin Model , 2011, IEEE Transactions on Vehicular Technology.
[44] M. Doyle,et al. Modeling of Galvanostatic Charge and Discharge of the Lithium/Polymer/Insertion Cell , 1993 .
[45] Krishna R. Pattipati,et al. Open circuit voltage characterization of lithium-ion batteries , 2014 .
[46] F. Marra,et al. Demand profile study of battery electric vehicle under different charging options , 2012, 2012 IEEE Power and Energy Society General Meeting.
[47] Hicham Chaoui,et al. Adaptive state of charge (SOC) estimation for batteries with parametric uncertainties , 2010, 2010 IEEE/ASME International Conference on Advanced Intelligent Mechatronics.
[48] 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.
[49] 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.
[50] Min Chen,et al. Accurate electrical battery model capable of predicting runtime and I-V performance , 2006, IEEE Transactions on Energy Conversion.
[51] Liang Tang,et al. Risk Measures for Particle-Filtering-Based State-of-Charge Prognosis in Lithium-Ion Batteries , 2013, IEEE Transactions on Industrial Electronics.