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。State of charge estimation for lithium-ion batteries based on adaptive dual Kalman filter
Yidan Xu et al.
APPLIED MATHEMATICAL MODELLING (2020)
A novel fractional variable-order equivalent circuit model and parameter identification of electric vehicle Li-ion batteries
Qi Zhang et al.
ISA TRANSACTIONS (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)
Remaining useful life prediction of lithium-ion battery based on an improved particle filter algorithm
Guo Xie et al.
CANADIAN JOURNAL OF CHEMICAL ENGINEERING (2020)
Comparison of lithium ion Batteries, hydrogen fueled combustion Engines, and a hydrogen fuel cell in powering a small Unmanned Aerial Vehicle
Christopher Depcik et al.
ENERGY CONVERSION AND MANAGEMENT (2020)
A fast classification method of retired electric vehicle battery modules and their energy storage application in photovoltaic generation
Xinzhou Li et al.
INTERNATIONAL JOURNAL OF ENERGY RESEARCH (2020)
Remaining useful life prediction of lithium-ion battery based on extended Kalman particle filter
Bin Duan et al.
INTERNATIONAL JOURNAL OF ENERGY RESEARCH (2020)
Remaining-useful-life prediction via multiple linear regression and recurrent neural network reflecting degradation information of 20Ah LiNixMnyCo1-x-yO2 pouch cell
Soon-Jong Kwon et al.
JOURNAL OF ELECTROANALYTICAL CHEMISTRY (2020)
Deep Gaussian process regression for lithium-ion battery health prognosis and degradation mode diagnosis
Piyush Tagade et al.
JOURNAL OF POWER SOURCES (2020)
Probing Li-ion concentration in an operating lithium ion battery using in situ Raman spectroscopy
Zi Wei et al.
JOURNAL OF POWER SOURCES (2020)
Remaining useful life prediction of lithium-ion battery based on improved cuckoo search particle filter and a novel state of charge estimation method
Xianghui Qiu et al.
JOURNAL OF POWER SOURCES (2020)
Remaining useful life prediction of lithium-ion batteries with adaptive unscented kalman filter and optimized support vector regression
Zhiwei Xue et al.
NEUROCOMPUTING (2020)
Remaining useful life prediction of aircraft lithium-ion batteries based on F-distribution particle filter and kernel smoothing algorithm
Kai Zhang et al.
CHINESE JOURNAL OF AERONAUTICS (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)
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)
A review of the state of health for lithium -ion batteries: Research status and suggestions
Huixin Tian et al.
JOURNAL OF CLEANER PRODUCTION (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)
Remaining Useful Life Prediction and State of Health Diagnosis of Lithium-Ion Battery Based on Second-Order Central Difference Particle Filter
Yuan Chen et al.
IEEE ACCESS (2020)
Fractional-Order Model-Based Incremental Capacity Analysis for Degradation State Recognition of Lithium-Ion Batteries
Jinpeng Tian et al.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS (2019)
State-of-life prognosis and diagnosis of lithium-ion batteries by data-driven particle filters
F. Cadini et al.
APPLIED ENERGY (2019)
Direct coupling of continuum and kinetic Monte Carlo models for multiscale simulation of electrochemical systems
Fridolin Roeder et al.
COMPUTERS & CHEMICAL ENGINEERING (2019)
Validation and verification of a hybrid method for remaining useful life prediction of lithium-ion batteries
YongZhi Zhang et al.
JOURNAL OF CLEANER PRODUCTION (2019)
A Review of State of Health Estimation of Energy Storage Systems: Challenges and Possible Solutions for Futuristic Applications of Li-Ion Battery Packs in Electric Vehicles
Sudipta Bijoy Sarmah et al.
JOURNAL OF ELECTROCHEMICAL ENERGY CONVERSION AND STORAGE (2019)
Data-driven prediction of battery cycle life before capacity degradation
Kristen A. Severson et al.
NATURE ENERGY (2019)
A review on battery management system from the modeling efforts to its multiapplication and integration
Ming Shen et al.
INTERNATIONAL JOURNAL OF ENERGY RESEARCH (2019)
Prognostic health condition for lithium battery using the partial incremental capacity and Gaussian process regression
Xiaoyu Li et al.
JOURNAL OF POWER SOURCES (2019)
A high-order state-of-charge estimation model by cubature particle filter
Mingzhe Liu et al.
MEASUREMENT (2019)
A Hybrid Method for Remaining Useful Life Estimation of Lithium-Ion Battery with Regeneration Phenomena
Lin Zhao et al.
APPLIED SCIENCES-BASEL (2019)
Beyond imaging: Applications of atomic force microscopy for the study of Lithium-ion batteries
Zhao Weidong et al.
ULTRAMICROSCOPY (2019)
An improved state of charge estimation method based on cubature Kalman filter for lithium-ion batteries
Jiankun Peng et al.
APPLIED ENERGY (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)
An improved Thevenin model of lithium-ion battery with high accuracy for electric vehicles
Xiaofeng Ding et al.
APPLIED ENERGY (2019)
In-situ scanning electron microscope observation of electrode reactions related to battery material
Tetsuya Tsuda et al.
ELECTROCHIMICA ACTA (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)
An easy-to-implement multi-point impedance technique for monitoring aging of lithium ion batteries
Xing Zhou et al.
JOURNAL OF POWER SOURCES (2019)
Examining the Cycling Behaviour of Li-Ion Batteries Using Ultrasonic Time-of-Flight Measurements
James B. Robinson et al.
JOURNAL OF POWER SOURCES (2019)
Piecewise model based intelligent prognostics for state of health prediction of rechargeable batteries with capacity regeneration phenomena
Dong Wang et al.
MEASUREMENT (2019)
A review on prognostics and health management (PHM) methods of lithium-ion batteries
Huixing Meng et al.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2019)
Model-based state of charge estimation algorithms under various current patterns
Shi Li et al.
INNOVATIVE SOLUTIONS FOR ENERGY TRANSITIONS (2019)
A Review of Lithium-Ion Battery for Electric Vehicle Applications and Beyond
Weidong Chen et al.
INNOVATIVE SOLUTIONS FOR ENERGY TRANSITIONS (2019)
Remaining Useful Life Prediction of Lithium-Ion Batteries Using Neural Network and Bat-Based Particle Filter
Yi Wu et al.
IEEE ACCESS (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)
State-of-Health Estimation for Lithium-Ion Batteries Based on Wiener Process With Modeling the Relaxation Effect
Xiaodong Xu et al.
IEEE ACCESS (2019)
In situ surface-enhanced Raman spectroscopy in Li-O(2 )battery research
Xiang-Bin Han et al.
CURRENT OPINION IN ELECTROCHEMISTRY (2019)
A single particle model with chemical/mechanical degradation physics for lithium ion battery State of Health (SOH) estimation
J. Li et al.
APPLIED ENERGY (2018)
Online state-of-health estimation for lithium-ion batteries using constant-voltage charging current analysis
Jufeng Yang et al.
APPLIED ENERGY (2018)
Investigation of the deformation mechanisms of lithium-ion battery components using in-situ micro tests
Juner Zhu et al.
APPLIED ENERGY (2018)
Satellite lithium-ion battery remaining useful life estimation with an iterative updated RVM fused with the KF algorithm
Yuchen Song et al.
CHINESE JOURNAL OF AERONAUTICS (2018)
In situ electron microscopy and X-ray photoelectron spectroscopy for high capacity anodes in next-generation ionic liquid-based Li batteries
Tetsuya Tsuda et al.
ELECTROCHIMICA ACTA (2018)
Online Internal Resistance Measurement Application in Lithium Ion Battery Capacity and State of Charge Estimation
Yun Bao et al.
ENERGIES (2018)
Battery Health Prognosis Using Brownian Motion Modeling and Particle Filtering
Guangzhong Dong et al.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS (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)
Online Estimation of the Electrochemical Impedance Spectrum and Remaining Useful Life of Lithium-Ion Batteries
Arijit Guha et al.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT (2018)
Long Short-Term Memory Recurrent Neural Network for Remaining Useful Life Prediction of Lithium-Ion Batteries
Yongzhi Zhang et al.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY (2018)
Remaining useful life assessment of lithium-ion batteries in implantable medical devices
Chao Hu et al.
JOURNAL OF POWER SOURCES (2018)
Estimating state of charge and health of lithium-ion batteries with guided waves using built-in piezoelectric sensors/actuators
Purim Ladpli et al.
JOURNAL OF POWER SOURCES (2018)
State-of-charge inconsistency estimation of lithium-ion battery pack using mean-difference model and extended Kalman filter
Yuejiu Zheng et al.
JOURNAL OF POWER SOURCES (2018)
A novel fault diagnosis method for lithium-Ion battery packs of electric vehicles
Xiaoyu Li et al.
MEASUREMENT (2018)
A new state-of-health estimation method for lithium-ion batteries through the intrinsic relationship between ohmic internal resistance and capacity
Lin Chen et al.
MEASUREMENT (2018)
An improved unscented particle filter approach for lithium-ion battery remaining useful life prediction
Heng Zhang et al.
MICROELECTRONICS RELIABILITY (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)
The lithium-ion battery: State of the art and future perspectives
Ghassan Zubi et al.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2018)
Modeling of Lithium-Ion Battery Degradation for Cell Life Assessment
Bolun Xu et al.
IEEE TRANSACTIONS ON SMART GRID (2018)
An On-Line State of Health Estimation of Lithium-Ion Battery Using Unscented Particle Filter
Datong Liu et al.
IEEE ACCESS (2018)
State-of-health estimation for the lithium-ion battery based on support vector regression
Duo Yang et al.
APPLIED ENERGY (2018)
A Physics-Based Electrochemical Model for Lithium-Ion Battery State-of-Charge Estimation Solved by an Optimised Projection-Based Method and Moving-Window Filtering
Wei He 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)
Probing chemical heterogeneity of Li-ion batteries by in operando high energy X-ray diffraction radiography
M. J. Muehlbauer et al.
JOURNAL OF POWER SOURCES (2018)
A hybrid model based on support vector regression and differential evolution for remaining useful lifetime prediction of lithium-ion batteries
Fu-Kwun Wang et al.
JOURNAL OF POWER SOURCES (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)
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)
Accelerated Internal Resistance Measurements of Lithium-Ion Cells to Support Future End-of-Life Strategies for Electric Vehicles
Thomas R. B. Grandjean et al.
BATTERIES-BASEL (2018)
Battery state of health estimation: a structured review of models, methods and commercial devices
Lucian Ungurean et al.
INTERNATIONAL JOURNAL OF ENERGY RESEARCH (2017)
Indirect State-of-Health Estimation for Lithium-Ion Batteries under Randomized Use
Jinsong Yu et al.
ENERGIES (2017)
A novel method for identification of lithium-ion battery equivalent circuit model parameters considering electrochemical properties
Xi Zhang et al.
JOURNAL OF POWER SOURCES (2017)
Quantification of preferred orientation in graphite electrodes for Li-ion batteries with a novel X-ray-diffraction-based method
Simon Malifarge et al.
JOURNAL OF POWER SOURCES (2017)
A probabilistic approach for prognosis of battery pack aging
Chin-Yao Chang et al.
JOURNAL OF POWER SOURCES (2017)
Gaussian process regression for forecasting battery state of health
Robert R. Richardson et al.
JOURNAL OF POWER SOURCES (2017)
Data-driven hybrid remaining useful life estimation approach for spacecraft lithium-ion battery
Yuchen Song et al.
MICROELECTRONICS RELIABILITY (2017)
Remaining useful life prediction of lithium-ion battery using an improved UPF method based on MCMC
Xin Zhang et al.
MICROELECTRONICS RELIABILITY (2017)
Prognostics of Li(NiMnCo)O2-based lithium-ion batteries using a novel battery degradation model
Fangfang Yang et al.
MICROELECTRONICS RELIABILITY (2017)
A systematic model-based degradation behavior recognition and health monitoring method for lithium-ion batteries
Rui Xiong et al.
APPLIED ENERGY (2017)
A novel fractional order model based state-of-charge estimation method for lithium-ion battery
Hao Mu et al.
APPLIED ENERGY (2017)
Correlations of concentration changes of electrolyte salt with resistance and capacitance at the surface of a graphite electrode in a lithium ion battery studied by in situ microprobe Raman spectroscopy
Toshiro Yamanaka et al.
ELECTROCHIMICA ACTA (2017)
Performance Comparison of Feed-Forward Neural Networks Trained with Different Learning Algorithms for Recommender Systems
Mohammed Hassan et al.
COMPUTATION (2017)
Evolution of the solid electrolyte interphase on tin phosphide anodes in sodium ion batteries probed by hard x-ray photoelectron spectroscopy
Ronnie Mogensen et al.
ELECTROCHIMICA ACTA (2017)
Operando X-ray diffraction during battery cycling at elevated temperatures: A quantitative analysis of lithium-graphite intercalation compounds
Natalia Andrea Canas et al.
CARBON (2017)
Extended Kalman Filter for prognostic of Proton Exchange Membrane Fuel Cell
Mathieu Bressel et al.
APPLIED ENERGY (2016)
State-of-health monitoring of lithium-ion battery modules and packs via incremental capacity peak tracking
Caihao Weng et al.
APPLIED ENERGY (2016)
State-of-health estimation of lithium-ion battery packs in electric vehicles based on genetic resampling particle filter
Jun Bi 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)
Remaining useful lifetime prediction based on the damage-marker bivariate degradation model: A case study on lithium-ion batteries used in electric vehicles
Jing Feng et al.
ENGINEERING FAILURE ANALYSIS (2016)
Remaining Useful Life Prediction of Lithium-Ion Batteries Based on Spherical Cubature Particle Filter
Dong Wang et al.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT (2016)
Review of simplified Pseudo-two-Dimensional models of lithium-ion batteries
Ali Jokar et al.
JOURNAL OF POWER SOURCES (2016)
A new method of modeling and state of charge estimation of the battery
Congzhi Liu et al.
JOURNAL OF POWER SOURCES (2016)
Lithium-ion batteries remaining useful life prediction based on a mixture of empirical mode decomposition and ARIMA model
Yapeng Zhou et al.
MICROELECTRONICS RELIABILITY (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)
Remaining Useful Life Prediction for Lithium-Ion Batteries Based on Gaussian Processes Mixture
Lingling Li et al.
PLOS ONE (2016)
A novel multistage Support Vector Machine based approach for Li ion battery remaining useful life estimation
Meru A. Patil et al.
APPLIED ENERGY (2015)
Dynamic electrochemical impedance spectroscopy reconstructed from continuous impedance measurement of single frequency during charging/discharging
Jun Huang et al.
JOURNAL OF POWER SOURCES (2015)
Online identification of lithium-ion battery parameters based on an improved equivalent-circuit model and its implementation on battery state-of-power prediction
Tianheng Feng et al.
JOURNAL OF POWER SOURCES (2015)
Lithium-ion battery remaining useful life estimation with an optimized Relevance Vector Machine algorithm with incremental learning
Datong Liu et al.
MEASUREMENT (2015)
A new prognostics method for state of health estimation of lithium-ion batteries based on a mixture of Gaussian process models and particle filter
Fan Li et al.
MICROELECTRONICS RELIABILITY (2015)
An integrated unscented kalman filter and relevance vector regression approach for lithium-ion battery remaining useful life and short-term capacity prediction
Xiujuan Zheng et al.
RELIABILITY ENGINEERING & SYSTEM SAFETY (2015)
A comprehensive review on estimation strategies used in hybrid and battery electric vehicles
Mehmet Ugras Cuma et al.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2015)
A generic model-free approach for lithium-ion battery health management
Guangxing Bai et al.
APPLIED ENERGY (2014)
A naive Bayes model for robust remaining useful life prediction of lithium-ion battery
Selina S. Y. Ng et al.
APPLIED ENERGY (2014)
Remaining Useful Life Prediction of Lithium-Ion Batteries Based on the Wiener Process with Measurement Error
Shengjin Tang et al.
ENERGIES (2014)
Enhanced sample entropy-based health management of Li-ion battery for electrified vehicles
Xiaosong Hu et al.
ENERGY (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)
In situ electrochemical studies of lithium-ion battery cathodes using atomic force microscopy
Sanjay Ramdon et al.
JOURNAL OF POWER SOURCES (2014)
In situ Scanning electron microscope study and microstructural evolution of nano silicon anode for high energy Li-ion batteries
P. Hovington et al.
JOURNAL OF POWER SOURCES (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 unified open-circuit-voltage model of lithium-ion batteries for state-of-charge estimation and state-of-health monitoring
Caihao Weng et al.
JOURNAL OF POWER SOURCES (2014)
Determination of lithium-ion battery state-of-health based on constant-voltage charge phase
Akram Eddahech 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)
Lithium-ion battery remaining useful life estimation based on fusion nonlinear degradation AR model and RPF algorithm
Datong Liu et al.
NEURAL COMPUTING & APPLICATIONS (2014)
Lessons Learned from the 787 Dreamliner Issue on Lithium-Ion Battery Reliability
Nicholas Williard et al.
ENERGIES (2013)
Analysis of hard carbon for lithium-ion batteries by hard X-ray photoelectron spectroscopy
Hironobu Hori et al.
JOURNAL OF POWER SOURCES (2013)
Extension of physics-based single particle model for higher charge-discharge rates
Saeed Khaleghi Rahimian et al.
JOURNAL OF POWER SOURCES (2013)
Prognostics of lithium-ion batteries based on relevance vectors and a conditional three-parameter capacity degradation model
Dong Wang et al.
JOURNAL OF POWER SOURCES (2013)
Particle filter for state of charge and state of health estimation for lithium-iron phosphate batteries
Simon Schwunk et al.
JOURNAL OF POWER SOURCES (2013)
On-board state of health monitoring of lithium-ion batteries using incremental capacity analysis with support vector regression
Caihao Weng et al.
JOURNAL OF POWER SOURCES (2013)
A nonlinear equivalent circuit model for lithium ion cells
Krishnan S. Hariharan et al.
JOURNAL OF POWER SOURCES (2013)
Using probability density function to evaluate the state of health of lithium-ion batteries
Xuning Feng et al.
JOURNAL OF POWER SOURCES (2013)
Application-specific parameterization of reduced order equivalent circuit battery models for improved accuracy at dynamic load
Wladislaw Waag et al.
MEASUREMENT (2013)
An ensemble model for predicting the remaining useful performance of lithium-ion batteries
Yinjiao Xing et al.
MICROELECTRONICS RELIABILITY (2013)
Remaining useful life prediction of lithium-ion battery with unscented particle filter technique
Qiang Miao et al.
MICROELECTRONICS RELIABILITY (2013)
An improved autoregressive model by particle swarm optimization for prognostics of lithium-ion batteries
Bing Long et al.
MICROELECTRONICS RELIABILITY (2013)
A Bayesian framework for on-line degradation assessment and residual life prediction of secondary batteries in spacecraft
Guang Jin et al.
RELIABILITY ENGINEERING & SYSTEM SAFETY (2013)
A multiscale framework with extended Kalman filter for lithium-ion battery SOC and capacity estimation
Chao Hu et al.
APPLIED ENERGY (2012)
A capacity fade model for lithium-ion batteries including diffusion and kinetics
Shrihari Sankarasubramanian et al.
ELECTROCHIMICA ACTA (2012)
Comparison study on the battery models used for the energy management of batteries in electric vehicles
Hongwen He et al.
ENERGY CONVERSION AND MANAGEMENT (2012)
A comparative study of equivalent circuit models for Li-ion batteries
Xiaosong Hu et al.
JOURNAL OF POWER SOURCES (2012)
Use of stochastic methods for robust parameter extraction from impedance spectra
Paul Bueschel et al.
ELECTROCHIMICA ACTA (2011)
Support vector machines in remote sensing: A review
Giorgos Mountrakis et al.
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2011)
Recursive approximate weighted total least squares estimation of battery cell total capacity
Gregory L. Plett
JOURNAL OF POWER SOURCES (2011)
A model for degradation of electrochemical devices based on linear non-equilibrium thermodynamics and its application to lithium ion batteries
Anil V. Virkar
JOURNAL OF POWER SOURCES (2011)
Prognostics of lithium-ion batteries based on Dempster-Shafer theory and the Bayesian Monte Carlo method
Wei He et al.
JOURNAL OF POWER SOURCES (2011)
Online estimation of internal resistance and open-circuit voltage of lithium-ion batteries in electric vehicles
Yi-Hsien Chiang et al.
JOURNAL OF POWER SOURCES (2011)
Optimal charge rates for a lithium ion cell
Saeed Khaleghi Rahimian et al.
JOURNAL OF POWER SOURCES (2011)
State-of-health monitoring of lithium-ion batteries in electric vehicles by on-board internal resistance estimation
Juergen Remmlinger et al.
JOURNAL OF POWER SOURCES (2011)
Cycle-Life Characterization of Automotive Lithium-Ion Batteries with LiNiO2 Cathode
Yancheng Zhang et al.
JOURNAL OF THE ELECTROCHEMICAL SOCIETY (2009)
Model-based fault detection and isolation of a steam generator using neuro-fuzzy networks
Roozbeh Razavi-Far et al.
NEUROCOMPUTING (2009)
Prognostics in battery health management
Kai Goebel et al.
IEEE INSTRUMENTATION & MEASUREMENT MAGAZINE (2008)
Capacity fade analysis of a lithium ion cell
Qi Zhang et al.
JOURNAL OF POWER SOURCES (2008)
Comparison of different approaches for lifetime prediction of electrochemical systems - Using lead-acid batteries as example
Dirk Uwe Sauer et al.
JOURNAL OF POWER SOURCES (2008)
Impedance measurements on lead-acid batteries for state-of-charge, state-of-health and cranking capability prognosis in electric and hybrid electric vehicles
H Blanke et al.
JOURNAL OF POWER SOURCES (2005)
Extended Kalman filtering for battery management systems of LiPB-based HEV battery packs - Part 1. Background
GL Plett
JOURNAL OF POWER SOURCES (2004)
Differential evolution training algorithm for feed-forward neural networks
J Ilonen et al.
NEURAL PROCESSING LETTERS (2003)
分享论文
