Related references
Note: Only part of the references are listed.Vehicle to grid connected technologies and charging strategies: Operation, control, issues and recommendations
M. A. Hannan et al.
JOURNAL OF CLEANER PRODUCTION (2022)
Online Battery Protective Energy Management for Energy-Transportation Nexus
Shuangqi Li et al.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2022)
A novel approach for health management online-monitoring of lithium-ion batteries based on model-data fusion
Xiaojuan Han et al.
APPLIED ENERGY (2021)
Lithium-ion battery capacity estimation-A pruned convolutional neural network approach assisted with transfer learning
Yihuan Li et al.
APPLIED ENERGY (2021)
Implementation and evaluation of a practical electrochemical-thermal model of lithium-ion batteries for EV battery management system
Yizhao Gao et al.
ENERGY (2021)
Detection and Correction of Abnormal Data with Optimized Dirty Data: A New Data Cleaning Model
Kumar Rahul et al.
INTERNATIONAL JOURNAL OF INFORMATION TECHNOLOGY & DECISION MAKING (2021)
Preventive maintenance for heterogeneous industrial vehicles with incomplete usage data
Dena Markudova et al.
COMPUTERS IN INDUSTRY (2021)
SOC Estimation of Li-ion Batteries With Learning Rate-Optimized Deep Fully Convolutional Network
M. A. Hannan et al.
IEEE TRANSACTIONS ON POWER ELECTRONICS (2021)
Impacts of COVID-19 on the electric vehicle industry: Evidence from China
W. Wen et al.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2021)
An Ensemble Learning-Based Data-Driven Method for Online State-of-Health Estimation of Lithium-Ion Batteries
Bin Gou et al.
IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION (2021)
Supervisory long-term prediction of state of available power for lithium-ion batteries in electric vehicles
Lin Yang et al.
APPLIED ENERGY (2020)
Big Data Cleaning Based on Mobile Edge Computing in Industrial Sensor-Cloud
Tian Wang et al.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2020)
State of health of proton exchange membrane fuel cell in aeronautic applications
Noluntu Dyantyi et al.
JOURNAL OF POWER SOURCES (2020)
Co-estimation of lithium-ion battery state of charge and state of temperature based on a hybrid electrochemical-thermal-neural-network model
Fei Feng et al.
JOURNAL OF POWER SOURCES (2020)
A GRU-RNN based momentum optimized algorithm for SOC estimation
Meng Jiao et al.
JOURNAL OF POWER SOURCES (2020)
Toward Enhanced State of Charge Estimation of Lithium-ion Batteries Using Optimized Machine Learning Techniques
M. A. Hannan et al.
SCIENTIFIC REPORTS (2020)
Model Migration Neural Network for Predicting Battery Aging Trajectories
Xiaopeng Tang et al.
IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION (2020)
State-of-Charge Estimation of Li-Ion Battery in Electric Vehicles: A Deep Neural Network Approach
Dickshon N. T. How et al.
IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS (2020)
Big data training data for artificial intelligence-based Li-ion diagnosis and prognosis
Matthieu Dubarry et al.
JOURNAL OF POWER SOURCES (2020)
Stochastic capacity loss and remaining useful life models for lithium-ion batteries in plug-in hybrid electric vehicles
Andrew Chu et al.
JOURNAL OF POWER SOURCES (2020)
A Review on Electric Vehicle Charging Infrastructure Development in the UK
Tianjin Chen et al.
JOURNAL OF MODERN POWER SYSTEMS AND CLEAN ENERGY (2020)
Big data driven lithium-ion battery modeling method based on SDAE-ELM algorithm and data pre-processing technology
Shuangqi Li et al.
APPLIED ENERGY (2019)
A Review of Recurrent Neural Networks: LSTM Cells and Network Architectures
Yong Yu et al.
NEURAL COMPUTATION (2019)
Time Series Association State Analysis Method for Attacks on the Smart Internet of Electric Vehicle Charging Network
Qianmu Li et al.
TRANSPORTATION RESEARCH RECORD (2019)
Accurate lithium-ion battery modeling with inverse repeat binary sequence for electric vehicle applications
Rui Zhu 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)
A Simplified Mode Based State-of-Charge Estimation Approach for Lithium-Ion Battery With Dynamic Linear Model
Jinhao Meng et al.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS (2019)
Comparative study of reduced order equivalent circuit models for on-board state-of-available-power prediction of lithium-ion batteries in electric vehicles
Alexander Farmann et al.
APPLIED ENERGY (2018)
Cleaning high-frequency velocity profile data with autoregressive moving average (ARMA) models
S. Dilling et al.
FLOW MEASUREMENT AND INSTRUMENTATION (2017)
Cleaning Method for Status Monitoring Data of Power Equipment Based on Stacked Denoising Autoencoders
Jiejie Dai et al.
IEEE ACCESS (2017)
Fault and defect diagnosis of battery for electric vehicles based on big data analysis methods
Yang Zhao et al.
APPLIED ENERGY (2017)
Time Series Data Cleaning: From Anomaly Detection to Anomaly Repairing
Aoqian Zhang et al.
PROCEEDINGS OF THE VLDB ENDOWMENT (2017)
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)
Multi-timescale Parametric Electrical Battery Model for Use in Dynamic Electric Vehicle Simulations
Yue Cao et al.
IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION (2016)
Improving Power Grid Monitoring Data Quality: An Efficient Machine Learning Framework for Missing Data Prediction
Weiwei Shi et al.
2015 IEEE 17TH INTERNATIONAL CONFERENCE ON HIGH PERFORMANCE COMPUTING AND COMMUNICATIONS, 2015 IEEE 7TH INTERNATIONAL SYMPOSIUM ON CYBERSPACE SAFETY AND SECURITY, AND 2015 IEEE 12TH INTERNATIONAL CONFERENCE ON EMBEDDED SOFTWARE AND SYSTEMS (ICESS) (2015)
A Study on the Method for Cleaning and Repairing the Probe Vehicle Data
Zhaosheng Zhang et al.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2013)
A Kernel Fuzzy c-Means Clustering-Based Fuzzy Support Vector Machine Algorithm for Classification Problems With Outliers or Noises
Xiaowei Yang et al.
IEEE TRANSACTIONS ON FUZZY SYSTEMS (2011)
Share Paper
