A Critical Look at Coulomb Counting Approach for State of Charge Estimation in Batteries
暂无分享,去创建一个
Krishna R. Pattipati | Balakumar Balasingam | Kiarash Movassagh | Arif Raihan | K. Pattipati | B. Balasingam | Kiarash Movassagh | Arif Raihan
[1] Heath Hofmann,et al. Parameter identification of lithium-ion battery pack for different applications based on Cramer-Rao bound analysis and experimental study , 2018, Applied Energy.
[2] Ziping Feng,et al. A novel model of the initial state of charge estimation for LiFePO4 batteries , 2014 .
[3] Jun Wang,et al. Research on Online Correction of SOC estimation for Power Battery Based on Neural Network , 2018, 2018 IEEE 3rd Advanced Information Technology, Electronic and Automation Control Conference (IAEAC).
[4] Krishna R. Pattipati,et al. Battery Management Systems—Challenges and Some Solutions , 2020, Energies.
[5] Hongwen He,et al. Load Current and State-of-Charge Coestimation for Current Sensor-Free Lithium-Ion Battery , 2021, IEEE Transactions on Power Electronics.
[6] Krishna R. Pattipati,et al. Open circuit voltage characterization of lithium-ion batteries , 2014 .
[7] Chong Chen,et al. State of Charge Estimation of Battery Energy Storage Systems Based on Adaptive Unscented Kalman Filter With a Noise Statistics Estimator , 2017, IEEE Access.
[8] Byoung-Kuk Lee,et al. A new SOC estimation algorithm without integrated error using DCIR repetitive calculation , 2014, 2014 17th International Conference on Electrical Machines and Systems (ICEMS).
[9] Hosam K. Fathy,et al. On the relative contributions of bias and noise to lithium-ion battery state of charge estimation errors , 2017 .
[10] Xuan Zhao,et al. State of Charge Estimation for Lithium Battery Based on Adaptively Weighting Cubature Particle Filter , 2019, IEEE Access.
[11] Krishna R. Pattipati,et al. Performance analysis results of a battery fuel gauge algorithm at multiple temperatures , 2015 .
[12] Thia Kirubarajan,et al. Estimation with Applications to Tracking and Navigation: Theory, Algorithms and Software , 2001 .
[13] Ala A. Hussein,et al. Mitigating the Effect of Noise Uncertainty on the Online State-of-Charge Estimation of Li-Ion Battery Cells , 2019, IEEE Transactions on Vehicular Technology.
[14] 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 .
[15] Hongjie Wu,et al. State of Charge Estimation Using the Extended Kalman Filter for Battery Management Systems Based on the ARX Battery Model , 2013 .
[16] Krishna Pattipati,et al. On the Identification of Electrical Equivalent Circuit Models Based on Noisy Measurements , 2021, IEEE Transactions on Instrumentation and Measurement.
[17] Sheikh Arif Raihan,et al. Performance Analysis of Coulomb Counting Approach for State of Charge Estimation , 2019, 2019 IEEE Electrical Power and Energy Conference (EPEC).
[18] Heath Hofmann,et al. Combined State and Parameter Estimation of Lithium-Ion Battery With Active Current Injection , 2020, IEEE Transactions on Power Electronics.
[19] Krishna R. Pattipati,et al. A robust approach to battery fuel gauging, part I: Real time model identification , 2014 .
[20] Delphine Riu,et al. A review on lithium-ion battery ageing mechanisms and estimations for automotive applications , 2013 .
[21] Anna G. Stefanopoulou,et al. Estimation Error Bound of Battery Electrode Parameters With Limited Data Window , 2020, IEEE Transactions on Industrial Informatics.
[22] Song-Yul Choe,et al. An adaptive sigma-point Kalman filter with state equality constraints for online state-of-charge estimation of a Li(NiMnCo)O2/Carbon battery using a reduced-order electrochemical model , 2020 .
[23] Gregory L. Plett,et al. Extended Kalman filtering for battery management systems of LiPB-based HEV battery packs: Part 2. Modeling and identification , 2004 .
[24] Ming Liu,et al. An Improved Model Equation Based on a Gaussian Function Trinomial for State of Charge Estimation of Lithium-ion Batteries , 2019 .
[25] Torsten Wik,et al. Theoretical bounds on the accuracy of state and parameter estimation for batteries , 2017, 2017 American Control Conference (ACC).
[26] Christian Fleischer,et al. On-line estimation of lithium-ion battery impedance parameters using a novel varied-parameters approach , 2013 .
[27] 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 .
[28] Binyu Xiong,et al. Enhanced online model identification and state of charge estimation for lithium-ion battery with a FBCRLS based observer , 2016 .
[29] Bor Yann Liaw,et al. Inline state of health estimation of lithium-ion batteries using state of charge calculation , 2015 .
[30] Krishna Pattipati,et al. Elements of a Robust Battery-Management System: From Fast Characterization to Universality and More , 2018, IEEE Electrification Magazine.
[31] 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 .
[32] Ala A. Hussein,et al. Enhancement in Li-Ion Battery Cell State-of-Charge Estimation Under Uncertain Model Statistics , 2016, IEEE Transactions on Vehicular Technology.
[33] Chin-Sien Moo,et al. State-of-Charge Estimation with State-of-Health Calibration for Lithium-Ion Batteries , 2017 .
[34] M. Nikdel,et al. Various battery models for various simulation studies and applications , 2014 .
[35] Jing Sun,et al. Parameter Identification and Maximum Power Estimation of Battery/Supercapacitor Hybrid Energy Storage System Based on Cramer–Rao Bound Analysis , 2019, IEEE Transactions on Power Electronics.
[36] Xinfan Lin,et al. Theoretical Analysis of Battery SOC Estimation Errors Under Sensor Bias and Variance , 2018, IEEE Transactions on Industrial Electronics.
[37] Wentao Ma,et al. Adaptive Unscented Kalman Filter with Correntropy Loss for Robust State of Charge Estimation of Lithium-Ion Battery , 2018, Energies.
[38] G. Hinds,et al. Parameter Sensitivity Analysis of Cylindrical LiFePO4 Battery Performance Using Multi-Physics Modeling , 2014 .
[39] Hongwen He,et al. Disturbance-Immune and Aging-Robust Internal Short Circuit Diagnostic for Lithium-Ion Battery , 2022, IEEE Transactions on Industrial Electronics.
[40] R. Spotnitz. Simulation of capacity fade in lithium-ion batteries , 2003 .
[41] Xinfan Lin,et al. Analytic Analysis of the Data-Dependent Estimation Accuracy of Battery Equivalent Circuit Dynamics , 2017, IEEE Control Systems Letters.
[42] Guangzhong Dong,et al. Online state of charge estimation and open circuit voltage hysteresis modeling of LiFePO4 battery using invariant imbedding method , 2016 .
[43] Krishna R. Pattipati,et al. A robust approach to battery fuel gauging, part II: Real time capacity estimation , 2014 .
[44] Krishna R. Pattipati,et al. Experimental set-up and procedures to test and validate battery fuel gauge algorithms , 2015 .
[45] 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.
[46] Jinho Kim,et al. Identifiability and Parameter Estimation of the Single Particle Lithium-Ion Battery Model , 2017, IEEE Transactions on Control Systems Technology.
[47] Yangsheng Xu,et al. Robust State of Charge Estimation for Hybrid Electric Vehicles: Framework and Algorithms , 2010 .
[48] 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 .
[49] Balakumar Balasingam,et al. A scaling approach for improved state of charge representation in rechargeable batteries , 2020 .