Combined internal resistance and state-of-charge estimation of lithium-ion battery based on extended state observer
暂无分享,去创建一个
[1] Li Sun,et al. Extended State Filter Based Disturbance and Uncertainty Mitigation for Nonlinear Uncertain Systems With Application to Fuel Cell Temperature Control , 2020, IEEE Transactions on Industrial Electronics.
[2] Chunbo Zhu,et al. Parameter identification of electrolyte decomposition state in lithium-ion batteries based on a reduced pseudo two-dimensional model with Padé approximation , 2020 .
[3] Xiaoyu Li,et al. A combined method for state-of-charge estimation for lithium-ion batteries using a long short-term memory network and an adaptive cubature Kalman filter , 2020 .
[4] Fei Feng,et al. Co-estimation of lithium-ion battery state of charge and state of temperature based on a hybrid electrochemical-thermal-neural-network model , 2020 .
[5] Heath Hofmann,et al. Combined State and Parameter Estimation of Lithium-Ion Battery With Active Current Injection , 2020, IEEE Transactions on Power Electronics.
[6] Yunhong Che,et al. Reliable state of charge estimation of battery packs using fuzzy adaptive federated filtering , 2020 .
[7] C. Schleussner,et al. Scenarios science needed in UNFCCC periodic review , 2020, Nature Climate Change.
[8] Li Sun,et al. Active disturbance rejection temperature control of open-cathode proton exchange membrane fuel cell , 2020 .
[9] Li Sun,et al. A hybrid paradigm combining model-based and data-driven methods for fuel cell stack cooling control , 2020 .
[10] Hui Shao,et al. Design, analysis and application of a new disturbance rejection PID for uncertain systems. , 2020, ISA transactions.
[11] Tingting Guo,et al. Energy Transfer Strategy for Urban Rail Transit Battery Energy Storage System to Reduce Peak Power of Traction Substation , 2019, IEEE Transactions on Vehicular Technology.
[12] Yujie Wang,et al. Model migration based battery power capability evaluation considering uncertainties of temperature and aging , 2019, Journal of Power Sources.
[13] Li Sun,et al. Tuning of Active Disturbance Rejection Control with application to power plant furnace regulation , 2019, Control Engineering Practice.
[14] Qin Qiangqiang,et al. Energy Transfer Strategy for Urban Rail Transit Battery Energy Storage System to Reduce Peak Power of Traction Substation , 2019 .
[15] Ziqiang Chen,et al. A model-based state-of-charge estimation method for series-connected lithium-ion battery pack considering fast-varying cell temperature , 2019, Energy.
[16] Ruixin Yang,et al. State-of-charge estimation of lithium-ion battery using an improved neural network model and extended Kalman filter , 2019, Journal of Cleaner Production.
[17] Joeri Van Mierlo,et al. Data-driven health estimation and lifetime prediction of lithium-ion batteries: A review , 2019, Renewable and Sustainable Energy Reviews.
[18] Mohd Yamani Idna Idris,et al. Overview of model-based online state-of-charge estimation using Kalman filter family for lithium-ion batteries , 2019, Renewable and Sustainable Energy Reviews.
[19] Chao Hu,et al. A deep learning method for online capacity estimation of lithium-ion batteries , 2019, Journal of Energy Storage.
[20] Bing Xia,et al. Learning of Battery Model Bias for Effective State of Charge Estimation of Lithium-Ion Batteries , 2019, IEEE Transactions on Vehicular Technology.
[21] James Marco,et al. Critical review of non-invasive diagnosis techniques for quantification of degradation modes in lithium-ion batteries , 2019, Renewable and Sustainable Energy Reviews.
[22] Qiang Miao,et al. State-of-charge estimation of lithium-ion batteries based on gated recurrent neural network , 2019, Energy.
[23] Aini Hussain,et al. Extreme Learning Machine Model for State-of-Charge Estimation of Lithium-Ion Battery Using Gravitational Search Algorithm , 2019, IEEE Transactions on Industry Applications.
[24] Yongrong Yang,et al. Molecular reconstruction: Recent progress toward composition modeling of petroleum fractions , 2019, Chemical Engineering Journal.
[25] Furong Gao,et al. A novel framework for Lithium-ion battery modeling considering uncertainties of temperature and aging , 2019, Energy Conversion and Management.
[26] Guangzhong Dong,et al. Sequential Monte Carlo Filter for State-of-Charge Estimation of Lithium-Ion Batteries Based on Auto Regressive Exogenous Model , 2019, IEEE Transactions on Industrial Electronics.
[27] Fengqi You,et al. Data-Driven Adaptive Robust Unit Commitment Under Wind Power Uncertainty: A Bayesian Nonparametric Approach , 2019, IEEE Transactions on Power Systems.
[28] Kwang Y. Lee,et al. Data-driven oxygen excess ratio control for proton exchange membrane fuel cell , 2018, Applied Energy.
[29] Wenjie Zhang,et al. An improved adaptive estimator for state-of-charge estimation of lithium-ion batteries , 2018, Journal of Power Sources.
[30] F. DeAngelis,et al. An economic analysis of residential photovoltaic systems with lithium ion battery storage in the United States , 2018, Renewable and Sustainable Energy Reviews.
[31] Krishna Pattipati,et al. Elements of a Robust Battery-Management System: From Fast Characterization to Universality and More , 2018, IEEE Electrification Magazine.
[32] Simon V. Erhard,et al. State estimation of lithium-ion cells using a physicochemical model based extended Kalman filter , 2018, Applied Energy.
[33] M. Carvalho,et al. The lithium-ion battery: State of the art and future perspectives , 2018, Renewable and Sustainable Energy Reviews.
[34] Michael Pecht,et al. A review of fractional-order techniques applied to lithium-ion batteries, lead-acid batteries, and supercapacitors , 2018, Journal of Power Sources.
[35] Bin Wang,et al. Adaptive sliding mode observers for lithium-ion battery state estimation based on parameters identified online , 2018, Energy.
[36] Huazhen Fang,et al. Optimal Multiobjective Charging for Lithium-Ion Battery Packs: A Hierarchical Control Approach , 2018, IEEE Transactions on Industrial Informatics.
[37] Yiguang Hong,et al. SOC Estimation-Based Quasi-Sliding Mode Control for Cell Balancing in Lithium-Ion Battery Packs , 2018, IEEE Transactions on Industrial Electronics.
[38] Hongbin Ren,et al. Model‐based unscented Kalman filter observer design for lithium‐ion battery state of charge estimation , 2018 .
[39] Wenchao Xue,et al. Performance analysis of 2‐DOF tracking control for a class of nonlinear uncertain systems with discontinuous disturbances , 2018 .
[40] Mattia Ricco,et al. An Overview and Comparison of Online Implementable SOC Estimation Methods for Lithium-Ion Battery , 2018, IEEE Transactions on Industry Applications.
[41] Li Sun,et al. Multi-objective optimization for advanced superheater steam temperature control in a 300 MW power plant , 2017 .
[42] Pierre-Olivier Pineau,et al. Can the household sector reduce global warming mitigation costs? sensitivity to key parameters in a TIMES techno-economic energy model , 2017 .
[43] Furong Gao,et al. Observer based battery SOC estimation: Using multi-gain-switching approach , 2017 .
[44] Azah Mohamed,et al. A review of lithium-ion battery state of charge estimation and management system in electric vehicle applications: Challenges and recommendations , 2017 .
[45] Abhishek Jaiswal,et al. Lithium-ion battery based renewable energy solution for off-grid electricity: A techno-economic analysis , 2017 .
[46] Juan Li,et al. Output Predictor-Based Active Disturbance Rejection Control for a Wind Energy Conversion System With PMSG , 2017, IEEE Access.
[47] Miroslav Krstic,et al. Battery State Estimation for a Single Particle Model With Electrolyte Dynamics , 2017, IEEE Transactions on Control Systems Technology.
[48] Yali Xue,et al. Control-oriented modeling and analysis of direct energy balance in coal-fired boiler-turbine unit , 2016 .
[49] Li Sun,et al. Combined feedforward and model-assisted active disturbance rejection control for non-minimum phase system. , 2016, ISA transactions.
[50] Yong Chen,et al. Least‐squares based coulomb counting method and its application for state‐of‐charge (SOC) estimation in electric vehicles , 2016 .
[51] Fredrik Larsson,et al. Lithium-Ion Battery Aspects on Fires in Electrified Vehicles on the Basis of Experimental Abuse Tests , 2016 .
[52] Zonghai Chen,et al. A method for state-of-charge estimation of LiFePO4 batteries based on a dual-circuit state observer , 2015 .
[53] Stephen Duncan,et al. Observability Analysis and State Estimation of Lithium-Ion Batteries in the Presence of Sensor Biases , 2015, IEEE Transactions on Control Systems Technology.
[54] R Madoński,et al. Survey on methods of increasing the efficiency of extended state disturbance observers. , 2015, ISA transactions.
[55] Jason B. Siegel,et al. A lumped-parameter electro-thermal model for cylindrical batteries , 2014 .
[56] Binggang Cao,et al. The State of Charge Estimation of Lithium-Ion Batteries Based on a Proportional-Integral Observer , 2014, IEEE Transactions on Vehicular Technology.
[57] Ziping Feng,et al. Multiparameters Model of the Initial SOC Considering the Relaxation Effect , 2014 .
[58] Ziping Feng,et al. A novel model of the initial state of charge estimation for LiFePO4 batteries , 2014 .
[59] Chunbo Zhu,et al. Relaxation model of the open-circuit voltage for state-of-charge estimation in lithium-ion batteries , 2013 .
[60] Dirk Uwe Sauer,et al. Adaptive estimation of the electromotive force of the lithium-ion battery after current interruption for an accurate state-of-charge and capacity determination , 2013 .
[61] John B Goodenough,et al. The Li-ion rechargeable battery: a perspective. , 2013, Journal of the American Chemical Society.
[62] 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.
[63] Xiaosong Hu,et al. A comparative study of equivalent circuit models for Li-ion batteries , 2012 .
[64] Jasim Ahmed,et al. Algorithms for Advanced Battery-Management Systems , 2010, IEEE Control Systems.
[65] C. Moo,et al. Enhanced coulomb counting method for estimating state-of-charge and state-of-health of lithium-ion batteries , 2009 .
[66] Jingqing Han,et al. From PID to Active Disturbance Rejection Control , 2009, IEEE Trans. Ind. Electron..
[67] Il-Song Kim,et al. The novel state of charge estimation method for lithium battery using sliding mode observer , 2006 .
[68] Iryna Snihir,et al. Battery open-circuit voltage estimation by a method of statistical analysis , 2006 .
[69] M. Dresselhaus,et al. Alternative energy technologies , 2001, Nature.
[70] Andreas Jossen,et al. Methods for state-of-charge determination and their applications , 2001 .
[71] A. Blanchard,et al. Phase-Locked Loops: Application to Coherent Receiver Design , 1976, IEEE Transactions on Systems, Man, and Cybernetics.
[72] Chiung-Cheng Chuang,et al. Temperature-Compensated Model for Lithium-Ion Polymer Batteries With Extended Kalman Filter State-of-Charge Estimation for an Implantable Charger , 2018, IEEE Transactions on Industrial Electronics.
[73] P. Van den Bossche,et al. A review of international abuse testing standards and regulations for lithium ion batteries in electric and hybrid electric vehicles , 2018 .
[74] Naresh K. Sinha,et al. Modern Control Systems , 1981, IEEE Transactions on Systems, Man, and Cybernetics.