Review on Li-ion Battery Parameter Extraction Methods
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[1] Se-Kyu Oh,et al. An improved thermal single particle model and parameter estimation for high-capacity battery cell , 2023, Electrochimica Acta.
[2] Ji Wu,et al. Dual particle swarm optimization based data-driven state of health estimation method for lithium-ion battery , 2022, Journal of Energy Storage.
[3] Etse Dablu Bobobee. Improved Fixed Range Forgetting Factor-Adaptive Extended Kalman Filtering (FRFF-AEKF) Algorithm for the State of Charge Estimation of High-Power Lithium-Ion Batteries , 2022, International Journal of Electrochemical Science.
[4] A. Sari,et al. Lithium-ion cell equivalent circuit model identification by galvanostatic intermittent titration technique , 2022, Journal of Energy Storage.
[5] S. Choi,et al. Model Order Reduction Techniques for Physics-Based Lithium-Ion Battery Management: A Survey , 2022, IEEE Industrial Electronics Magazine.
[6] M. Lacroix,et al. Investigation of the P2D and of the modified single-particle models for predicting the nonlinear behavior of Li-ion batteries , 2022, Journal of Energy Storage.
[7] P. Notten,et al. Porous Electrode Modeling and its Applications to Li‐Ion Batteries , 2022, Advanced Energy Materials.
[8] Xinbo Chen,et al. Data-driven battery state of health estimation based on interval capacity for real-world electric vehicles , 2022, Energy.
[9] W. D. Widanage,et al. A Single Particle Model with Electrolyte and Side Reactions for degradation of lithium-ion batteries , 2022, Applied Mathematical Modelling.
[10] Jingjin Wu,et al. A multi-scale fractional-order dual unscented Kalman filter based parameter and state of charge joint estimation method of lithium-ion battery , 2022, Journal of Energy Storage.
[11] Yi Xie,et al. Electrochemical impedance characteristics at various conditions for commercial solid–liquid electrolyte lithium-ion batteries: Part 1. experiment investigation and regression analysis , 2022, Energy.
[12] Chenghui Zhang,et al. Novel equivalent circuit model for high-energy lithium-ion batteries considering the effect of nonlinear solid-phase diffusion , 2022, Journal of Power Sources.
[13] Ehsan Gholamalizadeh,et al. Electrochemical Modeling of a Thermal Management System for Cylindrical Lithium-Ion Battery Pack Considering Battery Capacity Fade , 2022, SSRN Electronic Journal.
[14] Zonghai Chen,et al. Parameter identification of reduced-order electrochemical model simplified by spectral methods and state estimation based on square-root cubature Kalman filter , 2022, Journal of Energy Storage.
[15] Soohee Han,et al. Parameter identification of lithium-ion battery pseudo-2-dimensional models using genetic algorithm and neural network cooperative optimization , 2022, Journal of Energy Storage.
[16] M. Marinescu,et al. Lithium-ion battery degradation: how to model it. , 2021, Physical chemistry chemical physics : PCCP.
[17] G. Plett,et al. Review of computational parameter estimation methods for electrochemical models , 2021, Journal of Energy Storage.
[18] Torsten Wik,et al. Electrochemical Model-Based Fast Charging: Physical Constraint-Triggered PI Control , 2021, IEEE Transactions on Energy Conversion.
[19] N. Omar,et al. Li‐ion battery modeling and characterization: An experimental overview on NMC battery , 2021, International Journal of Energy Research.
[20] D. Sauer,et al. Data-driven systematic parameter identification of an electrochemical model for lithium-ion batteries with artificial intelligence , 2021, Energy Storage Materials.
[21] M. Fowler,et al. A comprehensive equivalent circuit model for lithium-ion batteries, incorporating the effects of state of health, state of charge, and temperature on model parameters , 2021, Journal of Energy Storage.
[22] Dafang Wang,et al. An electrochemical–thermal model of lithium-ion battery and state of health estimation , 2021, Journal of Energy Storage.
[23] Q. Lu,et al. Review on the Battery Model and SOC Estimation Method , 2021, Processes.
[24] V. Wood,et al. On the use of electrochemical impedance spectroscopy to characterize and model the aging phenomena of lithium-ion batteries: a critical review , 2021 .
[25] Minghui Hu,et al. State of power estimation of lithium-ion battery based on fractional-order equivalent circuit model , 2021 .
[26] Xiaosong Hu,et al. Multi-fault Detection and Isolation for Lithium-Ion Battery Systems , 2021, IEEE Transactions on Power Electronics.
[27] Julien Bernard,et al. Data-driven model development to predict the aging of a Li-ion battery pack in electric vehicles representative conditions , 2021, Journal of Energy Storage.
[28] F. Dovis,et al. Improved weighting in particle filters applied to precise state estimation in GNSS , 2021, Frontiers in Robotics and AI.
[29] Chenghui Zhang,et al. Simplified electrochemical lithium-ion battery model with variable solid-phase diffusion and parameter identification over wide temperature range , 2021, Journal of Power Sources.
[30] Xiaosong Hu,et al. A Reduced-Order Electrochemical Model for All-Solid-State Batteries , 2021, IEEE Transactions on Transportation Electrification.
[31] Bowen Yang,et al. Lithium-ion battery equivalent model over full-range state of charge based on electrochemical process simplification , 2021 .
[32] Chenghui Zhang,et al. Reduced-order electrochemical model for lithium-ion battery with domain decomposition and polynomial approximation methods , 2021 .
[33] F. Mashayek,et al. Data driven estimation of electric vehicle battery state-of-charge informed by automotive simulations and multi-physics modeling , 2021 .
[34] Yang Li,et al. Constrained Ensemble Kalman Filter for Distributed Electrochemical State Estimation of Lithium-Ion Batteries , 2021, IEEE Transactions on Industrial Informatics.
[35] Rui Xiong,et al. Research progress, challenges and prospects of fault diagnosis on battery system of electric vehicles , 2020, Applied Energy.
[36] Dafang Wang,et al. A lithium-ion battery electrochemical–thermal model for a wide temperature range applications , 2020 .
[37] Yong Wang,et al. Research on equivalent circuit Model of Lithium-ion battery for electric vehicles , 2020, 2020 3rd World Conference on Mechanical Engineering and Intelligent Manufacturing (WCMEIM).
[38] W. D. Widanage,et al. Parameterisation of a Coupled Thermal-Electrochemical Model for Lithium-Ion Batteries , 2020 .
[39] S. Choe,et al. Online state of health and aging parameter estimation using a physics-based life model with a particle filter , 2020 .
[40] Xianke Lin,et al. Advanced battery management strategies for a sustainable energy future: Multilayer design concepts and research trends , 2020 .
[41] Zonghai Chen,et al. A comprehensive review of battery modeling and state estimation approaches for advanced battery management systems , 2020 .
[42] Daniel-Ioan Stroe,et al. A novel charged state prediction method of the lithium ion battery packs based on the composite equivalent modeling and improved splice Kalman filtering algorithm , 2020, Journal of Power Sources.
[43] Emanuel Bernardi,et al. Observer-based fault detection and diagnosis strategy for industrial processes , 2020, J. Frankl. Inst..
[44] A. Jossen,et al. Electrochemical Modeling of Linear and Nonlinear Aging of Lithium-Ion Cells , 2020 .
[45] N. S. Hosny,et al. Lithium-Ion Battery Modeling Including Degradation Based on Single-Particle Approximations , 2020, Batteries.
[46] Dafang Wang,et al. Electrochemical model of lithium-ion battery for wide frequency range applications , 2020 .
[47] Xi Zhang,et al. A novel quantitative electrochemical aging model considering side reactions for lithium-ion batteries , 2020 .
[48] W. D. Widanage,et al. Development of Experimental Techniques for Parameterization of Multi-scale Lithium-ion Battery Models , 2020, Journal of The Electrochemical Society.
[49] 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 .
[50] Xianke Lin,et al. Advanced Fault Diagnosis for Lithium-Ion Battery Systems: A Review of Fault Mechanisms, Fault Features, and Diagnosis Procedures , 2020, IEEE Industrial Electronics Magazine.
[51] Peng Zhang,et al. Estimating the State-of-Charge of Lithium-Ion Battery Using an H-Infinity Observer Based on Electrochemical Impedance Model , 2020, IEEE Access.
[52] Xuning Feng,et al. A control-oriented electrochemical model for lithium-ion battery. Part II: Parameter identification based on reference electrode , 2020 .
[53] Chenghui Zhang,et al. A novel fractional variable-order equivalent circuit model and parameter identification of electric vehicle Li-ion batteries. , 2020, ISA transactions.
[54] A. H. Khawaja,et al. Li-Ion Battery Parameter Identification Using Pseudo Random Noise , 2019, 2019 15th International Conference on Emerging Technologies (ICET).
[55] Peng Zhao,et al. Fast charging optimization for lithium-ion batteries based on dynamic programming algorithm and electrochemical-thermal-capacity fade coupled model , 2019, Journal of Power Sources.
[56] J. Escalante,et al. Development of a Randles-Ševčík-like equation to predict the peak current of cyclic voltammetry for solid metal hexacyanoferrates , 2019, Journal of Solid State Electrochemistry.
[57] Gregory L. Plett,et al. A control-oriented electrochemical model for lithium-ion battery, Part I: Lumped-parameter reduced-order model with constant phase element , 2019, Journal of Energy Storage.
[58] M. Pecht,et al. An electrochemical model for high C-rate conditions in lithium-ion batteries , 2019, Journal of Power Sources.
[59] M. A. Hannan,et al. State of Charge Estimation for Lithium-Ion Batteries Using Model-Based and Data-Driven Methods: A Review , 2019, IEEE Access.
[60] Qingsong Wang,et al. A review of lithium ion battery failure mechanisms and fire prevention strategies , 2019, Progress in Energy and Combustion Science.
[61] Hicham Chaoui,et al. Lithium-Ion Batteries Health Prognosis Considering Aging Conditions , 2019, IEEE Transactions on Power Electronics.
[62] Long Chen. Electrochemical Model Parameter Identification of Lithium-Ion Battery with Temperature and Current Dependence , 2019, International Journal of Electrochemical Science.
[63] S. Choi,et al. A physics-based distributed-parameter equivalent circuit model for lithium-ion batteries , 2019, Electrochimica Acta.
[64] John Morrissey,et al. Data driven. , 2019, Hospitals & health networks.
[65] Amad Zafar,et al. Towards a Smarter Battery Management System for Electric Vehicle Applications: A Critical Review of Lithium-Ion Battery State of Charge Estimation , 2019, Energies.
[66] Dirk Uwe Sauer,et al. Full Cell Parameterization of a High-Power Lithium-Ion Battery for a Physico-Chemical Model: Part I. Physical and Electrochemical Parameters , 2018 .
[67] Datong Qin,et al. Lithium-ion battery modeling and parameter identification based on fractional theory , 2018, Energy.
[68] Søren Knudsen Kær,et al. A Review of Different Electric Equivalent Circuit Models and Parameter Identification Methods of Lithium-Ion Batteries , 2018, ECS Transactions.
[69] D. Sauer,et al. Comparative study of reduced order equivalent circuit models for on-board state-of-available-power prediction of lithium-ion batteries in electric vehicles , 2018, Applied Energy.
[70] David Flynn,et al. A Physics-Based Electrochemical Model for Lithium-Ion Battery State-of-Charge Estimation Solved by an Optimised Projection-Based Method and Moving-Window Filtering , 2018, Energies.
[71] H. Louie. Off-Grid Electrical Systems in Developing Countries , 2018 .
[72] S. Choe,et al. Automatic Estimation of Parameters of a Reduced Order Electrochemical Model for Lithium-Ion Batteries at the Beginning-of-Life , 2018, 2018 IEEE Vehicle Power and Propulsion Conference (VPPC).
[73] Michael Pecht,et al. A parameter estimation method for a simplified electrochemical model for Li-ion batteries , 2018, Electrochimica Acta.
[74] Mattia Ricco,et al. Overview of Lithium-Ion battery modeling methods for state-of-charge estimation in electrical vehicles , 2018 .
[75] Jonghyun Park,et al. A Single Particle Model with Chemical/Mechanical Degradation Physics for Lithium Ion Battery State of Health (SOH) Estimation , 2018 .
[76] Luigi Piegari,et al. Lithium Ion Battery Models and Parameter Identification Techniques , 2017 .
[77] Juan M. Corchado,et al. A Survey of Recent Advances in Particle Filters and Remaining Challenges for Multitarget Tracking , 2017, Sensors.
[78] 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 .
[79] Yang Li,et al. An equivalent circuit model of li-ion battery based on electrochemical principles used in grid-connected energy storage applications , 2017, 2017 IEEE 3rd International Future Energy Electronics Conference and ECCE Asia (IFEEC 2017 - ECCE Asia).
[80] Jie Li,et al. Li-ion Battery State of Health Estimation based on an improved Single Particle model , 2017, 2017 American Control Conference (ACC).
[81] Fang Zhou,et al. Insulation Resistance Monitoring Algorithm for Battery Pack in Electric Vehicle Based on Extended Kalman Filtering , 2017 .
[82] Miroslav Krstic,et al. Battery State Estimation for a Single Particle Model With Electrolyte Dynamics , 2017, IEEE Transactions on Control Systems Technology.
[83] Jinho Kim,et al. Identifiability and Parameter Estimation of the Single Particle Lithium-Ion Battery Model , 2017, IEEE Transactions on Control Systems Technology.
[84] San Shing Choi,et al. Matlab simulation of lithium ion cell using electrochemical single particle model , 2016, 2016 IEEE 2nd Annual Southern Power Electronics Conference (SPEC).
[85] Marcel Lacroix,et al. Review of simplified Pseudo-two-Dimensional models of lithium-ion batteries , 2016 .
[86] Peter Lund,et al. A hybrid lithium‐ion battery model for system‐level analyses , 2016 .
[87] Weitao Zheng,et al. Electrochemical modeling and parameter identification based on bacterial foraging optimization algorithm for lithium-ion batteries , 2016, Journal of Applied Electrochemistry.
[88] Lingyan Wang,et al. A new method of modeling and state of charge estimation of the battery , 2016 .
[89] Hong Chen,et al. Fractional modeling and SOC estimation of lithium-ion battery , 2016, IEEE/CAA Journal of Automatica Sinica.
[90] Han-Xiong Li,et al. Parameter identification for the electrochemical model of Li-ion battery , 2016, 2016 International Conference on System Science and Engineering (ICSSE).
[91] Stefano Longo,et al. A review on electric vehicle battery modelling: From Lithium-ion toward Lithium–Sulphur , 2016 .
[92] A. Izadian,et al. Electrochemical model parameter identification of a lithium-ion battery using particle swarm optimization method , 2016 .
[93] Hongwen He,et al. Adaptive Extended Kalman Filter Based Fault Detection and Isolation for a Lithium-Ion Battery Pack , 2015 .
[94] Stephen Duncan,et al. Lithium-ion battery thermal-electrochemical model-based state estimation using orthogonal collocation and a modified extended Kalman filter , 2015, ArXiv.
[95] Hongwen He,et al. Model-based Sensor Fault Diagnosis of a Lithium-ion Battery in Electric Vehicles , 2015 .
[96] Afshin Izadian,et al. Electrochemical model based fault diagnosis of a lithium ion battery using multiple model adaptive estimation approach , 2015, 2015 IEEE International Conference on Industrial Technology (ICIT).
[97] Jianqiu Li,et al. Simplification of physics-based electrochemical model for lithium ion battery on electric vehicle. Part II: Pseudo-two-dimensional model simplification and state of charge estimation , 2015 .
[98] Jianqiu Li,et al. Simplification of physics-based electrochemical model for lithium ion battery on electric vehicle. Part I: Diffusion simplification and single particle model , 2015 .
[99] Gregory L. Plett,et al. Electrochemical state and internal variables estimation using a reduced-order physics-based model of a lithium-ion cell and an extended Kalman filter , 2015 .
[100] Jason B. Siegel,et al. A lumped-parameter electro-thermal model for cylindrical batteries , 2014 .
[101] Jimi Tjong,et al. Reduced-Order Electrochemical Model Parameters Identification and State of Charge Estimation for Healthy and Aged Li-Ion Batteries—Part II: Aged Battery Model and State of Charge Estimation , 2014, IEEE Journal of Emerging and Selected Topics in Power Electronics.
[102] Jimi Tjong,et al. Reduced-Order Electrochemical Model Parameters Identification and SOC Estimation for Healthy and Aged Li-Ion Batteries Part I: Parameterization Model Development for Healthy Batteries , 2014, IEEE Journal of Emerging and Selected Topics in Power Electronics.
[103] John McPhee,et al. A survey of mathematics-based equivalent-circuit and electrochemical battery models for hybrid and electric vehicle simulation , 2014 .
[104] 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.
[105] Mukesh Singh,et al. Mathematical Modeling of Li-Ion Battery Using Genetic Algorithm Approach for V2G Applications , 2014, IEEE Transactions on Energy Conversion.
[106] Huazhen Fang,et al. Adaptive estimation of state of charge for lithium-ion batteries , 2013, 2013 American Control Conference.
[107] Md. Akhtaruzzaman Adnan,et al. A comparative study of Particle Swarm Optimization and Cuckoo Search techniques through problem-specific distance function , 2013, 2013 International Conference of Information and Communication Technology (ICoICT).
[108] Rolf Findeisen,et al. Electrochemical Model Based Observer Design for a Lithium-Ion Battery , 2013, IEEE Transactions on Control Systems Technology.
[109] Ralph E. White,et al. Extension of Physics-Based single Particle Model for Higher Charge-Discharge Rates , 2013 .
[110] Christopher D. Rahn,et al. Development of a First Principles Equivalent Circuit Model for a Lithium Ion Battery , 2012 .
[111] Hosam K. Fathy,et al. Genetic identification and fisher identifiability analysis of the Doyle–Fuller–Newman model from experimental cycling of a LiFePO4 cell , 2012 .
[112] Xiaosong Hu,et al. A comparative study of equivalent circuit models for Li-ion batteries , 2012 .
[113] John McPhee,et al. Simplification and order reduction of lithium-ion battery model based on porous-electrode theory , 2012 .
[114] Hongwen He,et al. Evaluation of Lithium-Ion Battery Equivalent Circuit Models for State of Charge Estimation by an Experimental Approach , 2011 .
[115] Jasim Ahmed,et al. Algorithms for Advanced Battery-Management Systems , 2010, IEEE Control Systems.
[116] Xin-She Yang,et al. Cuckoo Search via Lévy flights , 2009, 2009 World Congress on Nature & Biologically Inspired Computing (NaBIC).
[117] Sergio M. Savaresi,et al. On battery State of Charge estimation: A new mixed algorithm , 2008, 2008 IEEE International Conference on Control Applications.
[118] Ralph E. White,et al. Review of Models for Predicting the Cycling Performance of Lithium Ion Batteries , 2006 .
[119] H. L. Chan,et al. A new battery model for use with battery energy storage systems and electric vehicles power systems , 2000, 2000 IEEE Power Engineering Society Winter Meeting. Conference Proceedings (Cat. No.00CH37077).
[120] M. Doyle,et al. Modeling of Galvanostatic Charge and Discharge of the Lithium/Polymer/Insertion Cell , 1993 .
[121] Ziyad M. Salameh,et al. A mathematical model for lead-acid batteries , 1992 .
[122] D. M. Vilathgamuwa,et al. Physics-Based Model Predictive Control for Power Capability Estimation of Lithium-Ion Batteries , 2023, IEEE Transactions on Industrial Informatics.
[123] Yong Wang,et al. Combining Reduced-Order Model With Data-Driven Model for Parameter Estimation of Lithium-Ion Battery , 2023, IEEE Transactions on Industrial Electronics.
[124] Noha A. Elmalhy,et al. Data-Driven modeling for Li-ion battery using dynamic mode decomposition , 2022, Alexandria Engineering Journal.
[125] A. Bertei,et al. Enabling early detection of lithium-ion battery degradation by linking electrochemical properties to equivalent circuit model parameters , 2022, Journal of Energy Storage.
[126] Dafang Wang,et al. An electrochemical impedance model of lithium-ion battery for electric vehicle application , 2022, Journal of Energy Storage.
[127] Junqiu Li. Modeling and Simulation of Lithium-ion Power Battery Thermal Management , 2022, Key Technologies on New Energy Vehicles.
[128] Fei Liu,et al. Observer-Based Distributed Sensor Fault-Tolerant Model Predictive Control for Intermittent Faults , 2021, IFAC-PapersOnLine.
[129] Dongdong Li,et al. Control-oriented thermal-electrochemical modeling and validation of large size prismatic lithium battery for commercial applications , 2021, Energy.
[130] Dong Xia,et al. A method for state-of-charge estimation of lithium-ion batteries based on PSO-LSTM , 2021 .
[131] Zonghai Chen,et al. An improved single particle model for lithium-ion batteries based on main stress factor compensation , 2021 .
[132] Yao Lei,et al. An Intelligent Fault Diagnosis Method for Lithium Battery Systems Based on Grid Search Support Vector Machine , 2021 .
[133] Alejandro A. Franco,et al. A three dimensional kinetic Monte Carlo model for simulating the carbon/sulfur mesostructural evolutions of discharging lithium sulfur batteries , 2020 .
[134] Jiaping Zhou,et al. A review of lithium ion batteries electrochemical models for electric vehicles , 2020, E3S Web of Conferences.
[135] Zhongwei Deng,et al. Polynomial approximation pseudo-two-dimensional battery model for online application in embedded battery management system , 2018 .
[136] Dirk Uwe Sauer,et al. Full Cell Parameterization of a High-Power Lithium-Ion Battery for a Physico-Chemical Model: Part II. Thermal Parameters and Validation , 2018 .
[137] Hongwen He,et al. Critical Review on the Battery State of Charge Estimation Methods for Electric Vehicles , 2018, IEEE Access.
[138] Robert G. Landers,et al. A Single Particle Model for Lithium-Ion Batteries with Electrolyte and Stress-Enhanced Diffusion Physics , 2017 .
[139] Gregory L. Plett,et al. Identification of lithium-ion physics-based model parameter values 锂离子基于物理的模型参数值辨识 , 2016 .
[140] Baojin Wang,et al. State-space model with non-integer order derivatives for lithium-ion battery , 2016 .
[141] D. Sauer,et al. Parameterization of a Physico-Chemical Model of a Lithium-Ion Battery II. Model Validation , 2015 .
[142] J. Bernard,et al. Simplified Electrochemical and Thermal Model of LiFePO4-Graphite Li-Ion Batteries for Fast Charge Applications , 2012 .
[143] Iztok Fister,et al. A comprehensive review of cuckoo search: variants and hybrids , 2013, Int. J. Math. Model. Numer. Optimisation.
[144] J. Bernard,et al. Simplified Electrochemical and Thermal Model of LiFePO4-Graphite Li-Ion Batteries for Fast Charge Applications , 2012 .
[145] Danny Sutanto,et al. A New Battery Model for use with Battery Energy Storage Systems and Electric Vehicles Power Systems , 2000 .