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。On the feature selection for battery state of health estimation based on charging-discharging profiles
Yuanyuan Li et al.
JOURNAL OF ENERGY STORAGE (2021)
Fuzzy Entropy-Based State of Health Estimation for Li-Ion Batteries
Xin Sui et al.
IEEE JOURNAL OF EMERGING AND SELECTED TOPICS IN POWER ELECTRONICS (2021)
Battery Health Prediction Using Fusion-Based Feature Selection and Machine Learning
Xiaosong Hu et al.
IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION (2021)
Remaining useful life estimation of lithium-ion cells based on k-nearest neighbor regression with differential evolution optimization
Yapeng Zhou et al.
JOURNAL OF CLEANER PRODUCTION (2020)
A hybrid statistical data-driven method for on-line joint state estimation of lithium-ion batteries
Yuchen Song et al.
APPLIED ENERGY (2020)
Deep convolutional neural networks with ensemble learning and transfer learning for capacity estimation of lithium-ion batteries
Sheng Shen et al.
APPLIED ENERGY (2020)
A New Lithium-Ion Battery SOH Estimation Method Based on an Indirect Enhanced Health Indicator and Support Vector Regression in PHMs
Zhengyu Liu et al.
ENERGIES (2020)
Lithium-Ion Battery State-of-Health Estimation Using the Incremental Capacity Analysis Technique
Daniel-Ioan Stroe et al.
IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS (2020)
An ensemble prognostic method for lithium-ion battery capacity estimation based on time-varying weight allocation
Yujie Cheng et al.
APPLIED ENERGY (2020)
Ensemble Gradient Boosted Tree for SoH Estimation Based on Diagnostic Features
Sahar Khaleghi et al.
ENERGIES (2020)
A Method for the Combined Estimation of Battery State of Charge and State of Health Based on Artificial Neural Networks
Angelo Bonfitto
ENERGIES (2020)
Online state of health prediction method for lithium-ion batteries, based on gated recurrent unit neural networks
Lucian Ungurean et al.
INTERNATIONAL JOURNAL OF ENERGY RESEARCH (2020)
State-of-health estimation and remaining useful life prediction for the lithium-ion battery based on a variant long short term memory neural network
Penghua Li et al.
JOURNAL OF POWER SOURCES (2020)
Ensemble Model Based on Stacked Long Short-Term Memory Model for Cycle Life Prediction of Lithium-Ion Batteries
Fu-Kwun Wang et al.
APPLIED SCIENCES-BASEL (2020)
A uniform estimation framework for state of health of lithium-ion batteries considering feature extraction and parameters optimization
Xing Shu et al.
ENERGY (2020)
State of health estimation for Li-ion battery via partial incremental capacity analysis based on support vector regression
Xiaoyu Li et al.
ENERGY (2020)
State-of-health estimation of lithium-ion battery based on fractional impedance model and interval capacity
Qingxia Yang et al.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS (2020)
State of Health Estimation for Lithium-Ion Batteries Based on the Constant Current-Constant Voltage Charging Curve
Bin Xiao et al.
ELECTRONICS (2020)
A review of the state of health for lithium -ion batteries: Research status and suggestions
Huixin Tian et al.
JOURNAL OF CLEANER PRODUCTION (2020)
An optimized ensemble learning framework for lithium-ion Battery State of Health estimation in energy storage system
Jinhao Meng et al.
ENERGY (2020)
Data-Driven Online Health Estimation of Li-Ion Batteries Using A Novel Energy-Based Health Indicator
Wei Liu et al.
IEEE TRANSACTIONS ON ENERGY CONVERSION (2020)
An Incremental Voltage Difference Based Technique for Online State of Health Estimation of Li-ion Batteries
Arunava Naha et al.
SCIENTIFIC REPORTS (2020)
State-of-Health Estimation Based on Differential Temperature for Lithium Ion Batteries
Jinpeng Tian et al.
IEEE TRANSACTIONS ON POWER ELECTRONICS (2020)
Online diagnosis of state of health for lithium-ion batteries based on short-term charging profiles
Xing Shu et al.
JOURNAL OF POWER SOURCES (2020)
SOH Estimation of Lithium-Ion Battery Pack Based on Integrated State Information from Cells
Xiaohong Wang et al.
APPLIED SCIENCES-BASEL (2020)
Intelligent state of health estimation for lithium-ion battery pack based on big data analysis
Lingjun Song et al.
JOURNAL OF ENERGY STORAGE (2020)
A novel deep learning framework for state of health estimation of lithium-ion battery
Yaxiang Fan et al.
JOURNAL OF ENERGY STORAGE (2020)
A Comparison of Ensemble Machine Learning Techniques for the Estimate of Residual Capacity of Li-Ion Batteries
Antonio Guarino et al.
2020 IEEE 29TH INTERNATIONAL SYMPOSIUM ON INDUSTRIAL ELECTRONICS (ISIE) (2020)
Lithium-ion Battery State of Health Estimation Using Empirical Mode Decomposition Sample Entropy and Support Vector Machine
Xin Sui et al.
2020 THIRTY-FIFTH ANNUAL IEEE APPLIED POWER ELECTRONICS CONFERENCE AND EXPOSITION (APEC 2020) (2020)
A rapid classification method of the retired LiCoxNiyMn1-x-yO2 batteries for electric vehicles
Ping Zhou et al.
ENERGY REPORTS (2020)
The capacity estimation and cycle life prediction of lithium-ion batteries using a new broad extreme learning machine approach
Yanying Ma et al.
JOURNAL OF POWER SOURCES (2020)
Capacity Estimation of Li-Ion Batteries Using Constant Current Charging Voltage With Multilayer Perceptron
Minjun Park et al.
IEEE ACCESS (2020)
A data-driven fuzzy information granulation approach for battery state of health forecasting
Wenjie Pan et al.
JOURNAL OF POWER SOURCES (2020)
Applications of Lithium-Ion Batteries in Grid-Scale Energy Storage Systems
Tianmei Chen et al.
TRANSACTIONS OF TIANJIN UNIVERSITY (2020)
Multiobjective Optimization of Data-Driven Model for Lithium-Ion Battery SOH Estimation With Short-Term Feature
Lei Cai et al.
IEEE TRANSACTIONS ON POWER ELECTRONICS (2020)
SOH Estimation and SOC Recalibration of Lithium-Ion Battery with Incremental Capacity Analysis & Cubic Smoothing Spline
C. P. Lin et al.
JOURNAL OF THE ELECTROCHEMICAL SOCIETY (2020)
Deep learning-based prognostic approach for lithium-ion batteries with adaptive time-series prediction and on-line validation
Wei Zhang et al.
MEASUREMENT (2020)
Predicting the state of charge and health of batteries using data-driven machine learning
Man-Fai Ng et al.
NATURE MACHINE INTELLIGENCE (2020)
State of Health Monitoring and Remaining Useful Life Prediction of Lithium-Ion Batteries Based on Temporal Convolutional Network
Danhua Zhou et al.
IEEE ACCESS (2020)
State of Health Estimation for Lithium-Ion Batteries Based on Healthy Features and Long Short-Term Memory
Yitao Wu et al.
IEEE ACCESS (2020)
Real-Time State-of-Health Estimation of Lithium-Ion Batteries Based on the Equivalent Internal Resistance
Xiaojun Tan et al.
IEEE ACCESS (2020)
Li-Ion Batteries Parameter Estimation With Tiny Neural Networks Embedded on Intelligent IoT Microcontrollers
Giulia Crocioni et al.
IEEE ACCESS (2020)
A Data-Driven Predictive Prognostic Model for Lithium-ion Batteries based on a Deep Learning Algorithm
Phattara Khumprom et al.
ENERGIES (2019)
Feature parameter extraction and intelligent estimation of the State-of-Health of lithium-ion batteries
Yuanwang Deng et al.
ENERGY (2019)
An evolutionary framework for lithium-ion battery state of health estimation
Lei Cai et al.
JOURNAL OF POWER SOURCES (2019)
Co-estimation of capacity and state-of-charge for lithium-ion batteries in electric vehicles
Xiaoyu Li et al.
ENERGY (2019)
The role of renewable energy in the global energy transformation
Dolf Gielen et al.
ENERGY STRATEGY REVIEWS (2019)
A State of Health Estimation Framework for Lithium-Ion Batteries Using Transfer Components Analysis
Bowen Jia et al.
ENERGIES (2019)
Online State-of-Health Estimation for Li-Ion Battery Using Partial Charging Segment Based on Support Vector Machine
Xuning Feng et al.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY (2019)
Remaining useful life prediction of lithium-ion batteries based on false nearest neighbors and a hybrid neural network
Guijun Ma et al.
APPLIED ENERGY (2019)
State-of-Health Estimation of Li-ion Batteries in Electric Vehicle Using IndRNN under Variable Load Condition
Prakash Venugopal et al.
ENERGIES (2019)
A Novel Estimation Method for the State of Health of Lithium-Ion Battery Using Prior Knowledge-Based Neural Network and Markov Chain
Houde Dai et al.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS (2019)
State of health prediction for lithium-ion batteries using multiple-view feature fusion and support vector regression ensemble
Chao Ma et al.
INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS (2019)
State estimation for advanced battery management: Key challenges and future trends
Xiaosong Hu et al.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2019)
Data-driven health estimation and lifetime prediction of lithium-ion batteries: A review
Yi Li et al.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2019)
The Effect of Voltage Dataset Selection on the Accuracy of Entropy-Based Capacity Estimation Methods for Lithium-Ion Batteries
Xin Sui et al.
APPLIED SCIENCES-BASEL (2019)
Incremental Capacity Curve Peak Points-Based Regression Analysis for the State-of-Health Prediction of a Retired LiNiCoAlO2 Series/Parallel Configured Battery Pack
Hyunjun Lee et al.
ELECTRONICS (2019)
A deep learning method for online capacity estimation of lithium-ion batteries
Sheng Shen et al.
JOURNAL OF ENERGY STORAGE (2019)
State-of-health estimation for Li-ion batteries by combing the incremental capacity analysis method with grey relational analysis
Xiaoyu Li et al.
JOURNAL OF POWER SOURCES (2019)
Synchronous estimation of state of health and remaining useful lifetime for lithium-ion battery using the incremental capacity and artificial neural networks
Shuzhi Zhang et al.
JOURNAL OF ENERGY STORAGE (2019)
Machine Learning-Based Lithium-Ion Battery Capacity Estimation Exploiting Multi-Channel Charging Profiles
Yohwan Choi et al.
IEEE ACCESS (2019)
Application of Artificial Intelligence to State-of-Charge and State-of-Health Estimation of Calendar-Aged Lithium-Ion Pouch Cells
Ali Ghorbani Kashkooli et al.
JOURNAL OF THE ELECTROCHEMICAL SOCIETY (2019)
State of Health Estimation for Lithium-ion Batteries Based on Fusion of Autoregressive Moving Average Model and Elman Neural Network
Zheng Chen et al.
IEEE ACCESS (2019)
Lifetime Rapid Evaluation Method for Lithium-Ion Battery with Li(NiMnCo)O2 Cathode
Jiuchun Jiang et al.
JOURNAL OF THE ELECTROCHEMICAL SOCIETY (2019)
A Method for Interval Prediction of Satellite Battery State of Health Based on Sample Entropy
Mengda Cao et al.
IEEE ACCESS (2019)
A Comparative Study of Charging Voltage Curve Analysis and State of Health Estimation of Lithium-ion Batteries in Electric Vehicle
Xuebing Han et al.
AUTOMOTIVE INNOVATION (2019)
A review on the key issues of the lithium ion battery degradation among the whole life cycle
Xuebing Han et al.
ETRANSPORTATION (2019)
Aging characteristics-based health diagnosis and remaining useful life prognostics for lithium-ion batteries
YongZhi Zhang et al.
ETRANSPORTATION (2019)
Data-Driven State of Health Estimation of Li-Ion Batteries With RPT-Reduced Experimental Data
Jungsoo Kim et al.
IEEE ACCESS (2019)
Assessing the Health of LiFePO4 Traction Batteries through Monotonic Echo State Networks
Luciano Sanchez et al.
SENSORS (2018)
Novel battery state-of-health online estimation method using multiple health indicators and an extreme learning machine
Haihong Pan et al.
ENERGY (2018)
Remaining Useful Life Prediction and State of Health Diagnosis for Lithium-Ion Batteries Using Particle Filter and Support Vector Regression
Jingwen Wei et al.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS (2018)
Degradation Behavior of Lithium-Ion Batteries During Calendar Ageing-The Case of the Internal Resistance Increase
Daniel-Ioan Stroe et al.
IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS (2018)
On-line life cycle health assessment for lithium-ion battery in electric vehicles
Datong Liu et al.
JOURNAL OF CLEANER PRODUCTION (2018)
A quick on-line state of health estimation method for Li-ion battery with incremental capacity curves processed by Gaussian filter
Yi Li et al.
JOURNAL OF POWER SOURCES (2018)
A novel prediction method based on the support vector regression for the remaining useful life of lithium-ion batteries
Qi Zhao et al.
MICROELECTRONICS RELIABILITY (2018)
State of health prediction of lithium-ion batteries: Multiscale logic regression and Gaussian process regression ensemble
Jianbo Yu
RELIABILITY ENGINEERING & SYSTEM SAFETY (2018)
Online State of Health Estimation for Lithium-Ion Batteries Based on Support Vector Machine
Zheng Chen et al.
APPLIED SCIENCES-BASEL (2018)
State-of-health estimation for the lithium-ion battery based on support vector regression
Duo Yang et al.
APPLIED ENERGY (2018)
Incremental Capacity Analysis on Commercial Lithium-Ion Batteries using Support Vector Regression: A Parametric Study
Xuning Feng et al.
ENERGIES (2018)
A review of state of health and remaining useful life estimation methods for lithium-ion battery in electric vehicles: Challenges and recommendations
M. S. Hossain Lipu et al.
JOURNAL OF CLEANER PRODUCTION (2018)
Efficient state of health estimation of Li-ion battery under several ageing types for aeronautic applications
Yuan Ci Zhang et al.
MICROELECTRONICS RELIABILITY (2018)
Lithium-ion battery state of health estimation with short-term current pulse test and support vector machine
Jinhao Meng et al.
MICROELECTRONICS RELIABILITY (2018)
Battery Aging Prediction Using Input-Time-Delayed Based on an Adaptive Neuro-Fuzzy Inference System and a Group Method of Data Handling Techniques
Omid Rahbari et al.
APPLIED SCIENCES-BASEL (2018)
Random forest regression for online capacity estimation of lithium-ion batteries
Yi Li et al.
APPLIED ENERGY (2018)
Towards a smarter battery management system: A critical review on battery state of health monitoring methods
Rui Xiong et al.
JOURNAL OF POWER SOURCES (2018)
On-Board State of Health Estimation for Lithium-ion Batteries Based on Random Forest
Zheng Chen et al.
2018 IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL TECHNOLOGY (ICIT) (2018)
Estimation of Li-ion Battery State of Health based on Multilayer Perceptron: as an EV Application
Jungsoo Kim et al.
IFAC PAPERSONLINE (2018)
An Online SOC and SOH Estimation Model for Lithium-Ion Batteries
Shyh-Chin Huang et al.
ENERGIES (2017)
Diagnosis of Electric Vehicle Batteries Using Recurrent Neural Networks
Gae-Won You et al.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS (2017)
Operation of a Grid-Connected Lithium-Ion Battery Energy Storage System for Primary Frequency Regulation: A Battery Lifetime Perspective
Daniel-Ioan Stroe et al.
IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS (2017)
State of Charge and State of Health Estimation for Lithium Batteries Using Recurrent Neural Networks
Hicham Chaoui et al.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY (2017)
Lithium-ion battery power degradation modelling by electrochemical impedance spectroscopy
Daniel-Ioan Stroe et al.
IET RENEWABLE POWER GENERATION (2017)
State of Health Estimation Based on OS-ELM for Lithium-ion Batteries
Yiduo Zhu et al.
INTERNATIONAL JOURNAL OF ELECTROCHEMICAL SCIENCE (2017)
Design of robust battery capacity model for electric vehicle by incorporation of uncertainties
Akhil Garg et al.
INTERNATIONAL JOURNAL OF ENERGY RESEARCH (2017)
Optimal BP neural network algorithm for state of charge estimation of lithium-ion battery using PSO with PCA feature selection
M. S. Hossain Lipu et al.
JOURNAL OF RENEWABLE AND SUSTAINABLE ENERGY (2017)
A Database for Comparative Electrochemical Performance of Commercial 18650-Format Lithium-Ion Cells
Heather M. Barkholtz et al.
JOURNAL OF THE ELECTROCHEMICAL SOCIETY (2017)
Building Tianjin driving cycle based on linear discriminant analysis
Zhecheng Jing et al.
TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT (2017)
State of health estimation of battery modules via differential voltage analysis with local data symmetry method
Limei Wang et al.
ELECTROCHIMICA ACTA (2017)
Linear discriminant analysis: A detailed tutorial
Alaa Tharwat et al.
AI COMMUNICATIONS (2017)
Aging prediction and state of charge estimation of a LiFePO4 battery using input time-delayed neural networks
Hicham Chaoui et al.
ELECTRIC POWER SYSTEMS RESEARCH (2017)
Real-time state-of-health estimation for electric vehicle batteries: A data-driven approach
Gae-won You et al.
APPLIED ENERGY (2016)
On-board state of health estimation of LiFePO4 battery pack through differential voltage analysis
Limei Wang et al.
APPLIED ENERGY (2016)
An online method for lithium-ion battery remaining useful life estimation using importance sampling and neural networks
Ji Wu et al.
APPLIED ENERGY (2016)
Online available capacity prediction and state of charge estimation based on advanced data-driven algorithms for lithium iron phosphate battery
Zhongwei Deng et al.
ENERGY (2016)
Degradation Behavior of Lithium-Ion Batteries Based on Lifetime Models and Field Measured Frequency Regulation Mission Profile
Daniel-Ioan Stroe et al.
IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS (2016)
Online state of health estimation on NMC cells based on predictive analytics
Maitane Berecibar et al.
JOURNAL OF POWER SOURCES (2016)
A novel state of health estimation method of Li-ion battery using group method of data handling
Ji Wu et al.
JOURNAL OF POWER SOURCES (2016)
A novel health indicator for on-line lithium-ion batteries remaining useful life prediction
Yapeng Zhou et al.
JOURNAL OF POWER SOURCES (2016)
Multi-time-scale observer design for state-of-charge and state-of-health of a lithium-ion battery
Changfu Zou et al.
JOURNAL OF POWER SOURCES (2016)
Critical review of state of health estimation methods of Li-ion batteries for real applications
M. Berecibar et al.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2016)
Residual lifetime prediction for lithium-ion battery based on functional principal component analysis and Bayesian approach
Yujie Cheng et al.
ENERGY (2015)
Discharge capacity estimation for Li-ion batteries based on particle filter under multi-operating conditions
Junfu Li et al.
ENERGY (2015)
Capacity Fade Estimation in Electric Vehicle Li-Ion Batteries Using Artificial Neural Networks
Ala A. Hussein
IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS (2015)
An Integrated Probabilistic Approach to Lithium-Ion Battery Remaining Useful Life Estimation
Datong Liu et al.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT (2015)
Reliable Fault Diagnosis for Low-Speed Bearings Using Individually Trained Support Vector Machines With Kernel Discriminative Feature Analysis
Myeongsu Kang et al.
IEEE TRANSACTIONS ON POWER ELECTRONICS (2015)
A multi time-scale state-of-charge and state-of-health estimation framework using nonlinear predictive filter for lithium-ion battery pack with passive balance control
Yin Hua et al.
JOURNAL OF POWER SOURCES (2015)
Critical review of on-board capacity estimation techniques for lithium-ion batteries in electric and hybrid electric vehicles
Alexander Farmann et al.
JOURNAL OF POWER SOURCES (2015)
Understanding Lithium Inventory Loss and Sudden Performance Fade in Cylindrical Cells during Cycling with Deep-Discharge Steps
E. Sarasketa-Zabala et al.
JOURNAL OF PHYSICAL CHEMISTRY C (2015)
A generic model-free approach for lithium-ion battery health management
Guangxing Bai et al.
APPLIED ENERGY (2014)
Data-driven method based on particle swarm optimization and k-nearest neighbor regression for estimating capacity of lithium-ion battery
Chao Hu et al.
APPLIED ENERGY (2014)
Enhanced sample entropy-based health management of Li-ion battery for electrified vehicles
Xiaosong Hu et al.
ENERGY (2014)
Accelerated Lifetime Testing Methodology for Lifetime Estimation of Lithium-Ion Batteries Used in Augmented Wind Power Plants
Daniel-Ioan Stroe et al.
IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS (2014)
Measurement Techniques for Online Battery State of Health Estimation in Vehicle-to-Grid Applications
Marco Landi et al.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT (2014)
Lithium-ion battery state of health monitoring and remaining useful life prediction based on support vector regression-particle filter
Hancheng Dong et al.
JOURNAL OF POWER SOURCES (2014)
A support vector machine-based state-of-health estimation method for lithium-ion batteries under electric vehicle operation
Verena Klass et al.
JOURNAL OF POWER SOURCES (2014)
Cell degradation in commercial LiFePO4 cells with high-power and high-energy designs
Matthieu Dubarry et al.
JOURNAL OF POWER SOURCES (2014)
Critical review of the methods for monitoring of lithium-ion batteries in electric and hybrid vehicles
Wladislaw Waag et al.
JOURNAL OF POWER SOURCES (2014)
Experimental investigation of the lithium-ion battery impedance characteristic at various conditions and aging states and its influence on the application
Wladislaw Waag et al.
APPLIED ENERGY (2013)
Satellite Lithium-Ion Battery Remaining Cycle Life Prediction with Novel Indirect Health Indicator Extraction
Datong Liu et al.
ENERGIES (2013)
Comparative study of a structured neural network and an extended Kalman filter for state of health determination of lithium-ion batteries in hybrid electric vehicles
D. Andre et al.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE (2013)
Estimation of Battery State of Health Using Probabilistic Neural Network
Ho-Ta Lin et al.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2013)
Advanced mathematical methods of SOC and SOH estimation for lithium-ion batteries
Dave Andre et al.
JOURNAL OF POWER SOURCES (2013)
An ensemble model for predicting the remaining useful performance of lithium-ion batteries
Yinjiao Xing et al.
MICROELECTRONICS RELIABILITY (2013)
Complementary Cooperation Algorithm Based on DEKF Combined With Pattern Recognition for SOC/Capacity Estimation and SOH Prediction
Jonghoon Kim et al.
IEEE TRANSACTIONS ON POWER ELECTRONICS (2012)
Behavior and state-of-health monitoring of Li-ion batteries using impedence spectroscopy and recurrent neural networks
Akram Eddahech et al.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS (2012)
Intelligent prognostics for battery health monitoring based on sample entropy
Achmad Widodo et al.
EXPERT SYSTEMS WITH APPLICATIONS (2011)
Approximate Confidence and Prediction Intervals for Least Squares Support Vector Regression
Kris De Brabanter et al.
IEEE TRANSACTIONS ON NEURAL NETWORKS (2011)
System Identification and Estimation Framework for Pivotal Automotive Battery Management System Characteristics
Bharath Pattipati et al.
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART C-APPLICATIONS AND REVIEWS (2011)
A Novel Technique for Subpixel Image Classification Based on Support Vector Machine
Francesca Bovolo et al.
IEEE TRANSACTIONS ON IMAGE PROCESSING (2010)
Enhanced coulomb counting method for estimating state-of-charge and state-of-health of lithium-ion batteries
Kong Soon Ng et al.
APPLIED ENERGY (2009)
Prognostics Methods for Battery Health Monitoring Using a Bayesian Framework
Bhaskar Saha et al.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT (2009)
Extreme learning machine: Theory and applications
Guang-Bin Huang et al.
NEUROCOMPUTING (2006)
Main aging mechanisms in Li ion batteries
M Broussely et al.
JOURNAL OF POWER SOURCES (2005)
A tutorial on support vector regression
AJ Smola et al.
STATISTICS AND COMPUTING (2004)