标题
A Review on Battery Modelling Techniques
作者
关键词
-
出版物
Sustainability
Volume 13, Issue 18, Pages 10042
出版商
MDPI AG
发表日期
2021-09-09
DOI
10.3390/su131810042
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Global Sensitivity Analysis on Temperature-Dependent Parameters of A Reduced-Order Electrochemical Model And Robust State-of-Charge Estimation at Different Temperatures
- (2021) Guodong Fan et al. ENERGY
- Hybrid cooling of cylindrical battery with liquid channels in phase change material
- (2021) Ravindra Jilte et al. INTERNATIONAL JOURNAL OF ENERGY RESEARCH
- Thermal modelling and characteristic evaluation of electric vehicle battery system
- (2021) Asif Afzal et al. Case Studies in Thermal Engineering
- Maximum temperature analysis in a Li-ion battery pack cooled by different fluids
- (2020) Imran Mokashi et al. JOURNAL OF THERMAL ANALYSIS AND CALORIMETRY
- Control-oriented thermal-electrochemical modeling and validation of large size prismatic lithium battery for commercial applications
- (2020) Dongdong Li et al. ENERGY
- Optimization and analysis of maximum temperature in a battery pack affected by low to high Prandtl number coolants using response surface methodology and particle swarm optimization algorithm
- (2020) Asif Afzal et al. NUMERICAL HEAT TRANSFER PART A-APPLICATIONS
- Multi-objective optimization of thermal performance in battery system using genetic and particle swarm algorithm combined with fuzzy logics
- (2020) Asif Afzal et al. Journal of Energy Storage
- A novel battery thermal management system using nano-enhanced phase change materials
- (2020) Ravindra Jilte et al. ENERGY
- Battery thermal management: An optimization study of parallelized conjugate numerical analysis using Cuckoo search and Artificial bee colony algorithm
- (2020) Asif Afzal et al. INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER
- Nusselt number analysis from a battery pack cooled by different fluids and multiple back-propagation modelling using feed-forward networks
- (2020) Imran Mokashi et al. INTERNATIONAL JOURNAL OF THERMAL SCIENCES
- An Approach to State of Charge Estimation of Lithium-Ion Batteries Based on Recurrent Neural Networks with Gated Recurrent Unit
- (2019) Chaoran Li et al. Energies
- Adaptive Forgetting Factor Recursive Least Square Algorithm for Online Identification of Equivalent Circuit Model Parameters of a Lithium-Ion Battery
- (2019) Xiangdong Sun et al. Energies
- Online State-of-Health Estimation for Li-Ion Battery Using Partial Charging Segment Based on Support Vector Machine
- (2019) Xuning Feng et al. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
- A deep learning method for online capacity estimation of lithium-ion batteries
- (2019) Sheng Shen et al. Journal of Energy Storage
- Economic and Technical Aspects of Flexible Storage Photovoltaic Systems in Europe
- (2018) Henrik Zsiborács et al. Energies
- State of charge estimation of lithium-ion batteries using optimized Levenberg-Marquardt wavelet neural network
- (2018) Bizhong Xia et al. ENERGY
- Long short-term memory recurrent neural network for remaining useful life prediction of lithium-ion batteries
- (2018) Yongzhi Zhang et al. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
- Development of Accurate Lithium-Ion Battery Model Based on Adaptive Random Disturbance PSO Algorithm
- (2018) Huang Kai et al. MATHEMATICAL PROBLEMS IN ENGINEERING
- Remaining capacity estimation of lithium-ion batteries based on the constant voltage charging profile
- (2018) Zengkai Wang et al. PLoS One
- Online State of Health Estimation for Lithium-Ion Batteries Based on Support Vector Machine
- (2018) Zheng Chen et al. Applied Sciences-Basel
- Constructing Accurate Equivalent Electrical Circuit Models of Lithium Iron Phosphate and Lead–Acid Battery Cells for Solar Home System Applications
- (2018) Yunhe Yu et al. Energies
- Lithium-Ion Battery Modeling and Parameter Identification Based on Fractional Theory
- (2018) Minghui Hu et al. ENERGY
- Effect of spacing on thermal performance characteristics of Li-ion battery cells
- (2018) Asif Afzal et al. JOURNAL OF THERMAL ANALYSIS AND CALORIMETRY
- Remaining Useful Life Prediction for Lithium-ion Battery: A Deep Learning Approach
- (2018) Lei Ren et al. IEEE Access
- Random forest regression for online capacity estimation of lithium-ion batteries
- (2018) Yi Li et al. APPLIED ENERGY
- Structural Identifiability of Equivalent Circuit Models for Li-Ion Batteries
- (2017) Thomas Grandjean et al. Energies
- Diagnosis of Electric Vehicle Batteries Using Recurrent Neural Networks
- (2017) Gae-Won You et al. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
- State of Charge and State of Health Estimation for Lithium Batteries Using Recurrent Neural Networks
- (2017) Hicham Chaoui et al. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
- An online method for lithium-ion battery remaining useful life estimation using importance sampling and neural networks
- (2016) Ji Wu et al. APPLIED ENERGY
- Open-Circuit Voltage-Based State of Charge Estimation of Lithium-ion Battery Using Dual Neural Network Fusion Battery Model
- (2016) Xuanju Dang et al. ELECTROCHIMICA ACTA
- Online available capacity prediction and state of charge estimation based on advanced data-driven algorithms for lithium iron phosphate battery
- (2016) Zhongwei Deng et al. ENERGY
- Lithium Polymer Battery State-of-Charge Estimation Based on Adaptive Unscented Kalman Filter and Support Vector Machine
- (2016) Jinhao Meng et al. IEEE TRANSACTIONS ON POWER ELECTRONICS
- A review on electric vehicle battery modelling: From Lithium-ion toward Lithium–Sulphur
- (2016) Abbas Fotouhi et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- A Hybrid Prognostic Approach for Remaining Useful Life Prediction of Lithium-Ion Batteries
- (2016) Wen-An Yang et al. SHOCK AND VIBRATION
- Simultaneous model selection and parameter estimation for lithium-ion batteries: A sequential MINLP solution approach
- (2015) Jia-Ni Shen et al. AICHE JOURNAL
- A novel multistage Support Vector Machine based approach for Li ion battery remaining useful life estimation
- (2015) Meru A. Patil et al. APPLIED ENERGY
- Battery Health Prognosis for Electric Vehicles Using Sample Entropy and Sparse Bayesian Predictive Modeling
- (2015) Xiaosong Hu et al. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
- Capturing lithium-ion battery dynamics with support vector machine-based battery model
- (2015) Verena Klass et al. JOURNAL OF POWER SOURCES
- Electric vehicle state of charge estimation: Nonlinear correlation and fuzzy support vector machine
- (2015) Hanmin Sheng et al. JOURNAL OF POWER SOURCES
- A Health Indicator Extraction and Optimization Framework for Lithium-Ion Battery Degradation Modeling and Prognostics
- (2015) Datong Liu et al. IEEE Transactions on Systems Man Cybernetics-Systems
- Mathematical Modeling of Li-Ion Battery Using Genetic Algorithm Approach for V2G Applications
- (2014) IEEE TRANSACTIONS ON ENERGY CONVERSION
- Multi-objective optimization of lithium-ion battery model using genetic algorithm approach
- (2014) Liqiang Zhang et al. JOURNAL OF POWER SOURCES
- State-of-charge estimation for battery management system using optimized support vector machine for regression
- (2014) J.N. Hu et al. JOURNAL OF POWER SOURCES
- A survey of mathematics-based equivalent-circuit and electrochemical battery models for hybrid and electric vehicle simulation
- (2014) Aden Seaman et al. JOURNAL OF POWER SOURCES
- Support Vector Machines Used to Estimate the Battery State of Charge
- (2013) Juan Carlos Alvarez Anton et al. IEEE TRANSACTIONS ON POWER ELECTRONICS
- Estimation of the state of charge for a LFP battery using a hybrid method that combines a RBF neural network, an OLS algorithm and AGA
- (2013) Wen-Yeau Chang INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
- Adaptive Partial Differential Equation Observer for Battery State-of-Charge/State-of-Health Estimation Via an Electrochemical Model
- (2013) Scott J. Moura et al. JOURNAL OF DYNAMIC SYSTEMS MEASUREMENT AND CONTROL-TRANSACTIONS OF THE ASME
- On-board state of health monitoring of lithium-ion batteries using incremental capacity analysis with support vector regression
- (2013) Caihao Weng et al. JOURNAL OF POWER SOURCES
- Extraction of battery parameters of the equivalent circuit model using a multi-objective genetic algorithm
- (2013) Jonathan Brand et al. JOURNAL OF POWER SOURCES
- Comparison study on the battery models used for the energy management of batteries in electric vehicles
- (2012) Hongwen He et al. ENERGY CONVERSION AND MANAGEMENT
- Estimation of Battery State of Health Using Probabilistic Neural Network
- (2012) Ho-Ta Lin et al. IEEE Transactions on Industrial Informatics
- Health diagnosis and remaining useful life prognostics of lithium-ion batteries using data-driven methods
- (2012) Adnan Nuhic et al. JOURNAL OF POWER SOURCES
- Simple Analytical Method for Determining Parameters of Discharging Batteries
- (2011) Tingshu Hu et al. IEEE TRANSACTIONS ON ENERGY CONVERSION
- A comparative study of equivalent circuit models for Li-ion batteries
- (2011) Xiaosong Hu et al. JOURNAL OF POWER SOURCES
- State-of-Charge Estimation for Lithium-Ion Batteries Using Neural Networks and EKF
- (2010) Mohammad Charkhgard et al. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
- Battery-Management System (BMS) and SOC Development for Electrical Vehicles
- (2010) K. W. E. Cheng et al. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
- An Efficient Electrochemical–Thermal Model for a Lithium-Ion Cell by Using the Proper Orthogonal Decomposition Method
- (2010) Long Cai et al. JOURNAL OF THE ELECTROCHEMICAL SOCIETY
- Reduction of an Electrochemistry-Based Li-Ion Battery Model via Quasi-Linearization and Padé Approximation
- (2010) Joel C. Forman et al. JOURNAL OF THE ELECTROCHEMICAL SOCIETY
- Single-Particle Model for a Lithium-Ion Cell: Thermal Behavior
- (2010) Meng Guo et al. JOURNAL OF THE ELECTROCHEMICAL SOCIETY
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExplorePublish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn More