PHM of Li-ion Batteries
暂无分享,去创建一个
[1] C. Moo,et al. Enhanced coulomb counting method for estimating state-of-charge and state-of-health of lithium-ion batteries , 2009 .
[2] M. Beynon,et al. The Dempster-Shafer theory of evidence: an alternative approach to multicriteria decision modelling , 2000 .
[3] Michael Pecht,et al. Battery Management Systems in Electric and Hybrid Vehicles , 2011 .
[4] Michael Pecht,et al. A failure modes, mechanisms, and effects analysis (FMMEA) of lithium-ion batteries , 2015 .
[5] Matthieu Dubarry,et al. Identify capacity fading mechanism in a commercial LiFePO4 cell , 2009 .
[6] Michael Pecht,et al. Lessons Learned from the 787 Dreamliner Issue on Lithium-Ion Battery Reliability , 2013 .
[7] Xiaosong Hu,et al. A comparative study of equivalent circuit models for Li-ion batteries , 2012 .
[8] Xiaohong Yuan,et al. Engine fault diagnosis based on multi-sensor information fusion using Dempster-Shafer evidence theory , 2007, Inf. Fusion.
[9] Xiaosong Hu,et al. Adaptive unscented Kalman filtering for state of charge estimation of a lithium-ion battery for elec , 2011 .
[10] M. Doyle,et al. Simulation and Optimization of the Dual Lithium Ion Insertion Cell , 1994 .
[11] 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 .
[12] Herbert L Case,et al. Calendar- and cycle-life studies of advanced technology development program generation 1 lithium-ion batteries , 2002 .
[13] M. Broussely,et al. Main aging mechanisms in Li ion batteries , 2005 .
[14] 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.
[15] M. Doyle,et al. Modeling of Galvanostatic Charge and Discharge of the Lithium/Polymer/Insertion Cell , 1993 .
[16] Hongwen He,et al. Online estimation of model parameters and state-of-charge of LiFePO4 batteries in electric vehicles , 2012 .
[17] Terry Hansen,et al. Support vector based battery state of charge estimator , 2005 .
[18] John Newman,et al. Stress generation and fracture in lithium insertion materials , 2005 .
[19] Ding Lei,et al. An adaptive Kalman filtering based State of Charge combined estimator for electric vehicle battery pack , 2009 .
[20] 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 .
[21] I A Basheer,et al. Artificial neural networks: fundamentals, computing, design, and application. , 2000, Journal of microbiological methods.
[22] Gregory L. Plett,et al. Extended Kalman filtering for battery management systems of LiPB-based HEV battery packs: Part 2. Modeling and identification , 2004 .
[23] Michael Pecht,et al. State of charge estimation for Li-ion batteries using neural network modeling and unscented Kalman filter-based error cancellation , 2014 .
[24] Marc Doyle,et al. The Use of Mathematical-Modeling in the Design of Lithium Polymer Battery Systems , 1995 .
[25] Fabio Roli,et al. Design of effective neural network ensembles for image classification purposes , 2001, Image Vis. Comput..
[26] Michael Osterman,et al. Prognostics of lithium-ion batteries based on DempsterShafer theory and the Bayesian Monte Carlo me , 2011 .
[27] Neil J. Gordon,et al. A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking , 2002, IEEE Trans. Signal Process..
[28] Malcolm J. Beynon,et al. An expert system for multi-criteria decision making using Dempster Shafer theory , 2001, Expert Syst. Appl..
[29] Thirumalai Parthiban,et al. Exploration of artificial neural network [ANN] to predict the electrochemical characteristics of lithium-ion cells , 2007 .
[30] Meik Schlechtingen,et al. Comparative analysis of neural network and regression based condition monitoring approaches for wind turbine fault detection , 2011 .
[31] Geoffrey E. Hinton,et al. Learning representations by back-propagating errors , 1986, Nature.
[32] Enrico Zio,et al. Monte Carlo-based filtering for fatigue crack growth estimation , 2009 .
[33] K. Goebel,et al. Prognostics in Battery Health Management , 2008, IEEE Instrumentation & Measurement Magazine.
[34] Robin R. Murphy,et al. Dempster-Shafer theory for sensor fusion in autonomous mobile robots , 1998, IEEE Trans. Robotics Autom..
[35] M. Wohlfahrt‐Mehrens,et al. Ageing mechanisms in lithium-ion batteries , 2005 .
[36] Simon J. Godsill,et al. On sequential Monte Carlo sampling methods for Bayesian filtering , 2000, Stat. Comput..
[37] Bin Zhang,et al. Machine Condition Prediction Based on Adaptive Neuro–Fuzzy and High-Order Particle Filtering , 2011, IEEE Transactions on Industrial Electronics.
[38] D. Sauer,et al. Dynamic electric behavior and open-circuit-voltage modeling of LiFePO4-based lithium ion secondary batteries , 2011 .
[39] Shriram Santhanagopalan,et al. State of charge estimation using an unscented filter for high power lithium ion cells , 2010 .
[40] Mathias Bauer,et al. Approximation algorithms and decision making in the Dempster-Shafer theory of evidence - An empirical study , 1997, Int. J. Approx. Reason..
[41] Jasim Ahmed,et al. Algorithms for Advanced Battery-Management Systems , 2010, IEEE Control Systems.
[42] Ralph E. White,et al. Capacity fade analysis of a lithium ion cell , 2008 .
[43] Cheng-Wu Chen,et al. Modeling and control for nonlinear structural systems via a NN-based approach , 2009, Expert Syst. Appl..
[44] 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 .
[45] Weijun Gu,et al. Online cell SOC estimation of Li-ion battery packs using a dual time-scale Kalman filtering for EV applications , 2012 .
[46] Yuang-Shung Lee,et al. A Merged Fuzzy Neural Network and Its Applications in Battery State-of-Charge Estimation , 2007, IEEE Transactions on Energy Conversion.
[47] Wei He,et al. State of charge estimation of lithium-ion batteries using the open-circuit voltage at various ambient temperatures , 2014 .
[48] Hongwen He,et al. Online model-based estimation of state-of-charge and open-circuit voltage of lithium-ion batteries in electric vehicles , 2012 .
[49] Toshiyuki Inagaki. Interdependence between safety-control policy and multiple-sensor schemes via Dempster-Shafer theory , 1991 .