Joint SoC and SoH Estimation for Zinc–Nickel Single-Flow Batteries
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Shawn Li | Evan Xiao | Kang Li | Chi Kong Wong | Chikong Wong | Shawn Li | Kang Li | Evan Xiao
[1] King Jet Tseng,et al. A multi-timescale estimator for battery state of charge and capacity dual estimation based on an online identified model , 2017 .
[2] Dimitris P. Labridis,et al. Battery energy storage systems modeling for online applications , 2017, 2017 IEEE Manchester PowerTech.
[3] Xiang Li,et al. A Novel RBF Neural Model for Single Flow Zinc Nickel Batteries , 2017, LSMS/ICSEE.
[4] Ping Shen,et al. The Co-estimation of State of Charge, State of Health, and State of Function for Lithium-Ion Batteries in Electric Vehicles , 2018, IEEE Transactions on Vehicular Technology.
[5] Li Zhang,et al. Study of zinc electrodes for single flow zinc/nickel battery application , 2008 .
[6] Theofilos A. Papadopoulos,et al. State-of-Charge Estimation for Li-Ion Batteries: A More Accurate Hybrid Approach , 2019, IEEE Transactions on Energy Conversion.
[7] T. Kim,et al. A Hybrid Battery Model Capable of Capturing Dynamic Circuit Characteristics and Nonlinear Capacity Effects , 2011, IEEE Transactions on Energy Conversion.
[8] Rui Xiong,et al. A data-driven based adaptive state of charge estimator of lithium-ion polymer battery used in electric vehicles , 2014 .
[9] Xiang Li,et al. State-of-Charge Estimation of Lithium Batteries Using Compact RBF Networks and AUKF , 2017, LSMS/ICSEE.
[10] X. Li,et al. A novel flowrate control method for single flow zinc/nickel battery , 2016, 2016 International Conference for Students on Applied Engineering (ICSAE).
[11] Mattia Ricco,et al. Overview of Lithium-Ion battery modeling methods for state-of-charge estimation in electrical vehicles , 2018 .
[12] Daniel A. Steingart,et al. Zinc morphology in zinc-nickel flow assisted batteries and impact on performance , 2011 .
[13] Hongwen He,et al. Online model-based estimation of state-of-charge and open-circuit voltage of lithium-ion batteries in electric vehicles , 2012 .
[14] Xiaosong Hu,et al. A comparative study of equivalent circuit models for Li-ion batteries , 2012 .
[15] Sanjoy Banerjee,et al. Gas evolution in a flow-assisted zincnickel oxide battery , 2011 .
[16] Shiji Song. Improved Realtime State-of-Charge Estimation of LiFePO4 Battery Based on a Novel Thermoelectric Model , 2016 .
[17] Yang Li,et al. Technological Developments in Batteries: A Survey of Principal Roles, Types, and Management Needs , 2017, IEEE Power and Energy Magazine.
[18] 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 .
[19] Cheng Zhang,et al. Improved Realtime State-of-Charge Estimation of LiFePO $_{\boldsymbol 4}$ Battery Based on a Novel Thermoelectric Model , 2017, IEEE Transactions on Industrial Electronics.
[20] Federico Baronti,et al. Online Adaptive Parameter Identification and State-of-Charge Coestimation for Lithium-Polymer Battery Cells , 2014, IEEE Transactions on Industrial Electronics.
[21] Eweda Eweda,et al. Convergence of the RLS and LMS adaptive filters , 1987 .
[22] Maria Skyllas-Kazacos,et al. Progress in Flow Battery Research and Development , 2011 .
[23] Mohammad Farrokhi,et al. Online State-of-Health Estimation of VRLA Batteries Using State of Charge , 2013, IEEE Transactions on Industrial Electronics.
[24] Zhongbao Wei,et al. Online Model Identification and State-of-Charge Estimate for Lithium-Ion Battery With a Recursive Total Least Squares-Based Observer , 2018, IEEE Transactions on Industrial Electronics.
[25] Dingqin Shi,et al. A high power density single flow zinc–nickel battery with three-dimensional porous negative electrode , 2013 .
[26] C. Low,et al. Progress in redox flow batteries, remaining challenges and their applications in energy storage , 2012 .
[27] Li Zhang,et al. Preliminary study of single flow zinc-nickel battery , 2007 .
[28] Le Yi Wang,et al. Robust and Adaptive Estimation of State of Charge for Lithium-Ion Batteries , 2015, IEEE Transactions on Industrial Electronics.
[29] Maria Skyllas-Kazacos,et al. Adaptive estimation of state of charge and capacity with online identified battery model for vanadium redox flow battery , 2016 .
[30] Abdellatif Miraoui,et al. Online Estimation of Lithium Polymer Batteries State-of-Charge Using Particle Filter-Based Data Fusion With Multimodels Approach , 2016, IEEE Transactions on Industry Applications.
[31] Binyu Xiong,et al. State of Charge Estimation of Vanadium Redox Flow Battery Based on Sliding Mode Observer and Dynamic Model Including Capacity Fading Factor , 2017, IEEE Transactions on Sustainable Energy.
[32] Le Yi Wang,et al. A novel method to obtain the open circuit voltage for the state of charge of lithium ion batteries in electric vehicles by using H infinity filter , 2017 .
[33] Huazhen Fang,et al. Revisiting the State-of-Charge Estimation for Lithium-Ion Batteries: A Methodical Investigation of the Extended Kalman Filter Approach , 2017, IEEE Control Systems.