Related references
Note: Only part of the references are listed.Online accurate state of health estimation for battery systems on real-world electric vehicles with variable driving conditions considered
Jichao Hong et al.
JOURNAL OF CLEANER PRODUCTION (2021)
Lithium-ion battery capacity estimation-A pruned convolutional neural network approach assisted with transfer learning
Yihuan Li et al.
APPLIED ENERGY (2021)
A health indicator extraction based on surface temperature for lithium-ion batteries remaining useful life prediction
Hailin Feng et al.
JOURNAL OF ENERGY STORAGE (2021)
Stochastic modeling for tracking and prediction of gradual and transient battery performance degradation
Matthew B. Russell et al.
JOURNAL OF MANUFACTURING SYSTEMS (2021)
Battery Health Prediction Using Fusion-Based Feature Selection and Machine Learning
Xiaosong Hu et al.
IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION (2021)
Deep CNN-Based Real-Time Traffic Light Detector for Self-Driving Vehicles
Zhenchao Ouyang et al.
IEEE TRANSACTIONS ON MOBILE COMPUTING (2020)
Deep Gaussian process regression for lithium-ion battery health prognosis and degradation mode diagnosis
Piyush Tagade et al.
JOURNAL OF POWER SOURCES (2020)
State-of-charge sequence estimation of lithium-ion battery based on bidirectional long short-term memory encoder-decoder architecture
Chong Bian et al.
JOURNAL OF POWER SOURCES (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)
Noise gradient strategy for an enhanced hybrid convolutional-recurrent deep network to control a self-driving vehicle
Dante Mujica-Vargas et al.
APPLIED SOFT COMPUTING (2020)
Implementation of generative adversarial network-CLS combined with bidirectional long short-term memory for lithium-ion battery state prediction
Haoliang Zhang et al.
JOURNAL OF ENERGY STORAGE (2020)
State-of-life prognosis and diagnosis of lithium-ion batteries by data-driven particle filters
F. Cadini et al.
APPLIED ENERGY (2019)
Generative adversarial networks and convolutional neural networks based weather classification model for day ahead short-term photovoltaic power forecasting
Fei Wang et al.
ENERGY CONVERSION AND MANAGEMENT (2019)
Data-driven prediction of battery cycle life before capacity degradation
Kristen A. Severson et al.
NATURE 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)
Data-driven health estimation and lifetime prediction of lithium-ion batteries: A review
Yi Li et al.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2019)
Degradation model and cycle life prediction for lithium-ion battery used in hybrid energy storage system
Chang Liu et al.
ENERGY (2019)
A novel framework for Lithium-ion battery modeling considering uncertainties of temperature and aging
Xiaopeng Tang et al.
ENERGY CONVERSION AND MANAGEMENT (2019)
A comprehensive investigation of lithium-ion battery degradation performance at different discharge rates
Ang Yang et al.
JOURNAL OF POWER SOURCES (2019)
PEMFC Residual Life Prediction Using Sparse Autoencoder-Based Deep Neural Network
Jiawei Liu et al.
IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION (2019)
Remaining useful life prediction for lithium-ion batteries based on a hybrid model combining the long short-term memory and Elman neural networks
Xiaoyu Li et al.
JOURNAL OF ENERGY STORAGE (2019)
Impacts of Current Rates on the Degradation Behaviors of Lithium-Ion Batteries under Over-Discharge Conditions
Dongxu Ouyang et al.
JOURNAL OF THE ELECTROCHEMICAL SOCIETY (2019)
Battery Durability and Reliability under Electric Utility Grid Operations: Path Dependence of Battery Degradation
George Baure et al.
JOURNAL OF THE ELECTROCHEMICAL SOCIETY (2019)
Review and Performance Comparison of Mechanical-Chemical Degradation Models for Lithium-Ion Batteries
Jorn M. Reniers et al.
JOURNAL OF THE ELECTROCHEMICAL SOCIETY (2019)
A study of the relationship between coulombic efficiency and capacity degradation of commercial lithium-ion batteries
Fangfang Yang et al.
ENERGY (2018)
Predicting the Batteries' State of Health in Wireless Sensor Networks Applications
Rafael Lajara et al.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS (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)
A fast estimation algorithm for lithium-ion battery state of health
Xiaopeng Tang et al.
JOURNAL OF POWER SOURCES (2018)
Comprehensive Modeling of Temperature-Dependent Degradation Mechanisms in Lithium Iron Phosphate Batteries
M. Schimpe et al.
JOURNAL OF THE ELECTROCHEMICAL SOCIETY (2018)
Plug-in electric vehicle batteries degradation modeling for smart grid studies: Review, assessment and conceptual framework
Ali Ahmadian et al.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2018)
Battery second life: Hype, hope or reality? A critical review of the state of the art
E. Martinez-Laserna et al.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2018)
Predictive modeling of battery degradation and greenhouse gas emissions from US state-level electric vehicle operation
Fan Yang et al.
NATURE COMMUNICATIONS (2018)
Modeling of Lithium-Ion Battery Degradation for Cell Life Assessment
Bolun Xu et al.
IEEE TRANSACTIONS ON SMART GRID (2018)
State of health estimation of second-life LiFePO4 batteries for energy storage applications
Yan Jiang et al.
JOURNAL OF CLEANER PRODUCTION (2018)
End-of-Life Prediction of a Lithium-Ion Battery Cell Based on Mechanistic Aging Models of the Graphite Electrode
Christian Kupper et al.
JOURNAL OF THE ELECTROCHEMICAL SOCIETY (2018)
Cycle Life Prediction of Aged Lithium-Ion Batteries from the Fading Trajectory of a Four-Parameter Model
Je-Feng Li et al.
JOURNAL OF THE ELECTROCHEMICAL SOCIETY (2018)
A Database for Comparative Electrochemical Performance of Commercial 18650-Format Lithium-Ion Cells
Heather M. Barkholtz et al.
JOURNAL OF THE ELECTROCHEMICAL SOCIETY (2017)
Track batteries degrading in real time
Liqiang Mai et al.
NATURE (2017)
Electrochemomechanical degradation of high-capacity battery electrode materials
Sulin Zhang et al.
PROGRESS IN MATERIALS SCIENCE (2017)
Multiobjective Deep Belief Networks Ensemble for Remaining Useful Life Estimation in Prognostics
Chong Zhang et al.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2017)
In-Datacenter Performance Analysis of a Tensor Processing Unit
Norman P. Jouppi et al.
44TH ANNUAL INTERNATIONAL SYMPOSIUM ON COMPUTER ARCHITECTURE (ISCA 2017) (2017)
Temporal Convolutional Networks for Action Segmentation and Detection
Colin Lea et al.
30TH IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2017) (2017)
Cycle life testing and modeling of graphite/LiCoO2 cells under different state of charge ranges
Saurabh Saxena et al.
JOURNAL OF POWER SOURCES (2016)
State of health estimation in composite electrode lithium-ion cells
Alexander Bartlett et al.
JOURNAL OF POWER SOURCES (2015)
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)
An ensemble model for predicting the remaining useful performance of lithium-ion batteries
Yinjiao Xing et al.
MICROELECTRONICS RELIABILITY (2013)
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)
A Critical Review of Thermal Issues in Lithium-Ion Batteries
Todd M. Bandhauer et al.
JOURNAL OF THE ELECTROCHEMICAL SOCIETY (2011)
A generalized cycle life model of rechargeable Li-ion batteries
G Ning et al.
ELECTROCHIMICA ACTA (2006)