A review of stochastic battery models and health management
暂无分享,去创建一个
Chen Lu | Jian Ma | Laifa Tao | Jin Chong | Azadeh Noktehdan | Yujie Cheng | Chen Lu | Jian Ma | Yujie Cheng | Jin Chong | Laifa Tao | Azadeh Noktehdan
[1] M. Doyle,et al. Simulation and Optimization of the Dual Lithium Ion Insertion Cell , 1994 .
[2] James D. Hamilton. Analysis of time series subject to changes in regime , 1990 .
[3] Leonardo Badia,et al. Impact of battery degradation on optimal management policies of harvesting-based wireless sensor devices , 2013, 2013 Proceedings IEEE INFOCOM.
[4] Louis L. Bucciarelli,et al. Estimating loss-of-power probabilities of stand-alone photovoltaic solar energy systems , 1984 .
[5] Hao Mu,et al. A novel multi-model probability battery state of charge estimation approach for electric vehicles using H-infinity algorithm , 2016 .
[6] Michael S. Okundamiya,et al. Energy Storage Models for Optimizing Renewable Power Applications , 2010 .
[7] Leonardo Badia,et al. Energy Management Policies for Harvesting-Based Wireless Sensor Devices with Battery Degradation , 2013, IEEE Transactions on Communications.
[8] Ralph E. White,et al. Mathematical modeling of the capacity fade of Li-ion cells , 2003 .
[9] Mark Wild,et al. Lithium sulfur batteries, a mechanistic review , 2015 .
[10] Nicolo Michelusi,et al. Coping with spectrum and energy scarcity in Wireless Networks: a Stochastic Optimization approach to Cognitive Radio and Energy Harvesting , 2013 .
[11] J. Anta. Random walk numerical simulation for solar cell applications , 2009 .
[12] M. Doyle,et al. Relaxation Phenomena in Lithium‐Ion‐Insertion Cells , 1994 .
[13] Il-Doo Kim,et al. Mass-scalable synthesis of 3D porous germanium–carbon composite particles as an ultra-high rate anode for lithium ion batteries , 2015 .
[14] M. Safari,et al. Mathematical Modeling of Lithium Iron Phosphate Electrode: Galvanostatic Charge/Discharge and Path Dependence , 2011 .
[15] Ramachandran Rajesh,et al. Capacity of a Gaussian MAC with energy harvesting transmit nodes , 2012, 2012 Information Theory and Applications Workshop.
[16] Dimitrios D. Vergados,et al. Energy-Efficient Routing Protocols in Wireless Sensor Networks: A Survey , 2013, IEEE Communications Surveys & Tutorials.
[17] Kaibin Huang,et al. Opportunistic Wireless Energy Harvesting in Cognitive Radio Networks , 2013, IEEE Transactions on Wireless Communications.
[18] Jianqiu Li,et al. A review on the key issues for lithium-ion battery management in electric vehicles , 2013 .
[19] C. Robert,et al. Bayesian estimation of hidden Markov chains: a stochastic implementation , 1993 .
[20] M. Safari,et al. Simulation-Based Analysis of Aging Phenomena in a Commercial Graphite/LiFePO4 Cell , 2011 .
[21] M. Safari,et al. Life Prediction Methods for Lithium-Ion Batteries Derived from a Fatigue Approach II. Capacity-Loss Prediction of Batteries Subjected to Complex Current Profiles , 2010 .
[22] Ralph E. White,et al. Development of First Principles Capacity Fade Model for Li-Ion Cells , 2004 .
[23] Tao Zhang,et al. Challenges of non-aqueous Li–O2 batteries: electrolytes, catalysts, and anodes , 2013 .
[24] Vojtech Svoboda,et al. Capacity and power fading mechanism identification from a commercial cell evaluation , 2007 .
[25] N. H. Saad,et al. Enhancing the design of battery charging controllers for photovoltaic systems , 2016 .
[26] Joost-Pieter Katoen,et al. Computing Optimal Schedules of Battery Usage in Embedded Systems , 2010, IEEE Transactions on Industrial Informatics.
[27] Henrik Madsen,et al. Optimal charging of an electric vehicle using a Markov decision process , 2013, 1310.6926.
[28] Leonardo Badia,et al. Optimal Transmission Policies for Energy Harvesting Devices With Limited State-of-Charge Knowledge , 2014, IEEE Transactions on Communications.
[29] M. Dubarry,et al. Identifying battery aging mechanisms in large format Li ion cells , 2011 .
[30] Yuying Yan,et al. A critical review of thermal management models and solutions of lithium-ion batteries for the development of pure electric vehicles , 2016 .
[31] Ajay Kapoor,et al. Review of mechanical design and strategic placement technique of a robust battery pack for electric vehicles , 2016 .
[32] Mohamed K. Watfa,et al. A Battery-Aware High-Throughput MAC Layer Protocol in Sensor Networks , 2010, Int. J. Distributed Sens. Networks.
[33] Chao Yang,et al. Driving-behavior-aware stochastic model predictive control for plug-in hybrid electric buses , 2016 .
[34] Delphine Riu,et al. A review on lithium-ion battery ageing mechanisms and estimations for automotive applications , 2013 .
[35] Min Gyu Kim,et al. Green energy storage materials: Nanostructured TiO2 and Sn-based anodes for lithium-ion batteries , 2009 .
[36] Toshio Ando,et al. Single Molecular Imaging of a micro-Brownian Motion and a Bond Scission of a Supramolecular Chiral π-Conjugated Polymer as a Molecular Bearing Driven by Thermal Fluctuations , 2007 .
[37] Doron Aurbach,et al. On the capacity fading of LiCoO2 intercalation electrodes:: the effect of cycling, storage, temperature, and surface film forming additives , 2002 .
[38] Liu Zhou,et al. Development of novel lithium borate additives for designed surface modification of high voltage LiNi0.5Mn1.5O4 cathodes , 2016 .
[39] Xianke Lin,et al. A Comprehensive Capacity Fade Model and Analysis for Li-Ion Batteries , 2013 .
[40] Chen Lu,et al. Residual lifetime prediction for lithium-ion battery based on functional principal component analysis and Bayesian approach , 2015 .
[41] Ren Asmussen,et al. Fitting Phase-type Distributions via the EM Algorithm , 1996 .
[42] Ridha Bouallegue,et al. Energy Consumption Model in ad hoc Mobile Network , 2012, ArXiv.
[43] Jun Zhang,et al. The mean field theory in EM procedures for blind Markov random field image restoration , 1993, IEEE Trans. Image Process..
[44] Eberhard Meissner,et al. The challenge to the automotive battery industry : the battery has to become an increasingly integrated component within the vehicle electric power system , 2005 .
[45] F. Baronti,et al. Battery Management System: An Overview of Its Application in the Smart Grid and Electric Vehicles , 2013, IEEE Industrial Electronics Magazine.
[46] Zechang Sun,et al. ANFIS (adaptive neuro-fuzzy inference system) based online SOC (State of Charge) correction considering cell divergence for the EV (electric vehicle) traction batteries , 2015 .
[47] V. Makis,et al. Recursive filters for a partially observable system subject to random failure , 2003, Advances in Applied Probability.
[48] R. Spotnitz. Simulation of capacity fade in lithium-ion batteries , 2003 .
[49] Chen Lu,et al. Li-ion battery capacity estimation: A geometrical approach , 2014 .
[50] Michael Pecht,et al. Battery Management Systems in Electric and Hybrid Vehicles , 2011 .
[51] Azah Mohamed,et al. A review of the stage-of-the-art charging technologies, placement methodologies, and impacts of electric vehicles , 2016 .
[52] Mohammadhosein Safari,et al. Life-Prediction Methods for Lithium-Ion Batteries Derived from a Fatigue Approach I. Introduction: Capacity-Loss Prediction Based on Damage Accumulation , 2010 .
[53] Ann Marie Sastry,et al. Particle Interaction and Aggregation in Cathode Material of Li-Ion Batteries: A Numerical Study , 2011 .
[54] Viliam Makis,et al. Maximum Likelihood Estimation for a Hidden Semi-Markov Model with Multivariate Observations , 2012, Qual. Reliab. Eng. Int..
[55] Ronald J. Jaszczak,et al. Fully Bayesian estimation of Gibbs hyperparameters for emission computed tomography data , 1997, IEEE Transactions on Medical Imaging.
[56] Saswati Sarkar,et al. A framework for optimal battery management for wireless nodes , 2003, IEEE J. Sel. Areas Commun..
[57] M. Wohlfahrt‐Mehrens,et al. Ageing mechanisms in lithium-ion batteries , 2005 .
[58] Deniz Gündüz,et al. A general framework for the optimization of energy harvesting communication systems with battery imperfections , 2011, Journal of Communications and Networks.
[59] A. Kwasinski,et al. Development of a Markov-Chain-Based Energy Storage Model for Power Supply Availability Assessment of Photovoltaic Generation Plants , 2013, IEEE Transactions on Sustainable Energy.
[60] Bo-Suk Yang,et al. Intelligent prognostics for battery health monitoring based on sample entropy , 2011, Expert Syst. Appl..
[61] M. Doyle,et al. Modeling of Galvanostatic Charge and Discharge of the Lithium/Polymer/Insertion Cell , 1993 .
[62] T. Rydén. On recursive estimation for hidden Markov models , 1997 .
[63] D. Titterington,et al. Parameter estimation for hidden Markov chains , 2002 .
[64] Yang Yang,et al. Harnessing battery recovery effect in wireless sensor networks: Experiments and analysis , 2010, IEEE Journal on Selected Areas in Communications.
[65] Ralph E. White,et al. Calendar life study of Li-ion pouch cells: Part 2: Simulation , 2008 .
[66] Rajab Khalilpour,et al. Planning and operation scheduling of PV-battery systems: A novel methodology , 2016 .
[67] Kaibin Huang,et al. Energy Harvesting Wireless Communications: A Review of Recent Advances , 2015, IEEE Journal on Selected Areas in Communications.
[68] Xinyi Wang,et al. Computational model of 18650 lithium-ion battery with coupled strain rate and SOC dependencies , 2016 .
[69] Kevin G. Gallagher,et al. The significance of Li-ion batteries in electric vehicle life-cycle energy and emissions and recycling's role in its reduction , 2015 .
[70] Chris Yuan,et al. Multiphysics modeling of lithium ion battery capacity fading process with solid-electrolyte interphase growth by elementary reaction kinetics , 2014 .
[71] Rodney M. LaFollette,et al. Design Fundamentals of High Power Density, Pulsed Discharge, Lead‐Acid Batteries II . Modeling , 1990 .
[72] Stefano Longo,et al. A review on electric vehicle battery modelling: From Lithium-ion toward Lithium–Sulphur , 2016 .
[73] Rodney M. LaFollette,et al. Design fundamentals of high power density, pulsed discharge, lead acid batteries. I, Experimental , 1990 .
[74] Richard D. Braatz,et al. Modeling and Simulation of Lithium-Ion Batteries from a Systems Engineering Perspective , 2010 .
[75] C. Moo,et al. Enhanced coulomb counting method for estimating state-of-charge and state-of-health of lithium-ion batteries , 2009 .
[76] Matthieu Dubarry,et al. Synthesize battery degradation modes via a diagnostic and prognostic model , 2012 .
[77] Andreas Jossen,et al. Operating conditions of batteries in off-grid renewable energy systems , 2007 .
[78] Matthieu Dubarry,et al. Identify capacity fading mechanism in a commercial LiFePO4 cell , 2009 .
[79] Dirk Uwe Sauer,et al. A holistic aging model for Li(NiMnCo)O2 based 18650 lithium-ion batteries , 2014 .
[80] Aylin Yener,et al. Optimum Transmission Policies for Battery Limited Energy Harvesting Nodes , 2010, IEEE Transactions on Wireless Communications.
[81] Ramesh R. Rao,et al. Improving battery performance by using traffic shaping techniques , 2001, IEEE J. Sel. Areas Commun..
[82] Humberto Verdejo,et al. Stochastic modeling to represent wind power generation and demand in electric power system based on real data , 2016 .
[83] Heinz Wenzl,et al. Life prediction of batteries for selecting the technically most suitable and cost effective battery , 2005 .
[84] Dusit Niyato,et al. Sleep and Wakeup Strategies in Solar-Powered Wireless Sensor/Mesh Networks: Performance Analysis and Optimization , 2007, IEEE Transactions on Mobile Computing.
[85] T. Rydén. Consistent and Asymptotically Normal Parameter Estimates for Hidden Markov Models , 1994 .
[86] Sebastian Risse,et al. Capacity fading in lithium/sulfur batteries: A linear four-state model , 2014 .
[87] Fayssal M. Safie,et al. Probabilistic modeling of solar power systems , 1989, Proceedings., Annual Reliability and Maintainability Symposium.
[88] D. Linden. Handbook Of Batteries , 2001 .
[89] Hamid Khayyam,et al. Stochastic optimization models for energy management in carbonization process of carbon fiber production , 2015 .
[90] Doron Aurbach,et al. Challenges in the development of advanced Li-ion batteries: a review , 2011 .
[91] Jay Lee,et al. Review and recent advances in battery health monitoring and prognostics technologies for electric vehicle (EV) safety and mobility , 2014 .
[92] R. K. Krishna,et al. POWER SAVING STRATEGIES IN WIRELESS SENSOR NETWORKS , 2011 .
[93] Jean Alzieu,et al. Improvement of intelligent battery controller : state-of-charge indicator and associated functions , 1997 .
[94] W. Qian,et al. Estimation of parameters in hidden Markov models , 1991, Philosophical Transactions of the Royal Society of London. Series A: Physical and Engineering Sciences.
[95] Ramesh R. Rao,et al. Energy efficient battery management , 2001, IEEE J. Sel. Areas Commun..
[96] Jay Lee,et al. A review on prognostics and health monitoring of Li-ion battery , 2011 .
[97] Marijn R. Jongerden,et al. Model-based energy analysis of battery powered systems , 2010 .
[98] Anubhav Jain,et al. Voltage, stability and diffusion barrier differences between sodium-ion and lithium-ion intercalation materials , 2011 .
[99] Jun Chen,et al. Porous LiMn2O4 nanorods with durable high-rate capability for rechargeable Li-ion batteries , 2011 .
[100] Yi-Hsien Chiang,et al. Online estimation of internal resistance and open-circuit voltage of lithium-ion batteries in electr , 2011 .
[101] Sarma B. K. Vrudhula,et al. Battery Modeling for Energy-Aware System Design , 2003, Computer.
[102] Eberhard Meissner,et al. Battery Monitoring and Electrical Energy Management , 2003 .
[103] Viliam Makis,et al. Model parameter estimation and residual life prediction for a partially observable failing system , 2015 .
[104] John McPhee,et al. A survey of mathematics-based equivalent-circuit and electrochemical battery models for hybrid and electric vehicle simulation , 2014 .
[105] Laifa Tao,et al. Similarity recognition of online data curves based on dynamic spatial time warping for the estimation of lithium-ion battery capacity , 2015 .
[106] I. Villarreal,et al. Critical review of state of health estimation methods of Li-ion batteries for real applications , 2016 .
[107] Weerakorn Ongsakul,et al. An efficient two stage stochastic optimal energy and reserve management in a microgrid , 2015 .
[108] Lixia Yuan,et al. Development and challenges of LiFePO4 cathode material for lithium-ion batteries , 2011 .
[109] Christian Fleischer,et al. Critical review of the methods for monitoring of lithium-ion batteries in electric and hybrid vehicles , 2014 .