Related references
Note: Only part of the references are listed.A Data-Driven Approach With Uncertainty Quantification for Predicting Future Capacities and Remaining Useful Life of Lithium-ion Battery
Kailong Liu et al.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS (2021)
Numerical study on sensitivity analysis of factors influencing liquid cooling with double cold-plate for lithium-ion pouch cell
Mahesh Suresh Patil et al.
INTERNATIONAL JOURNAL OF ENERGY RESEARCH (2021)
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)
Deep learning-based prognostic approach for lithium-ion batteries with adaptive time-series prediction and on-line validation
Wei Zhang et al.
MEASUREMENT (2020)
Lithium-ion battery charging management considering economic costs of electrical energy loss and battery degradation
Kailong Liu et al.
ENERGY CONVERSION AND MANAGEMENT (2019)
Modified Gaussian Process Regression Models for Cyclic Capacity Prediction of Lithium-Ion Batteries
Kailong Liu et al.
IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION (2019)
A survey on deep learning for big data
Qingchen Zhang et al.
INFORMATION FUSION (2018)
Remaining useful life estimation in prognostics using deep convolution neural networks
Xiang Li et al.
RELIABILITY ENGINEERING & SYSTEM SAFETY (2018)
Charging Pattern Optimization for Lithium-Ion Batteries With an Electrothermal Aging Model
Kailong Liu et al.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2018)
Temperature effect and thermal impact in lithium-ion batteries: A review
Shuai Ma et al.
PROGRESS IN NATURAL SCIENCE-MATERIALS INTERNATIONAL (2018)
Robust linear regression: A review and comparison
Chun Yu et al.
COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION (2017)
Thermal issues about Li-ion batteries and recent progress in battery thermal management systems: A review
Huaqiang Liu et al.
ENERGY CONVERSION AND MANAGEMENT (2017)
Deep Convolutional Neural Networks for Image Classification: A Comprehensive Review
Waseem Rawat et al.
NEURAL COMPUTATION (2017)
Segmentation of optic disc, fovea and retinal vasculature using a single convolutional neural network
Jen Hong Tan et al.
JOURNAL OF COMPUTATIONAL SCIENCE (2017)
Model-Based Virtual Thermal Sensors for Lithium-Ion Battery in EV Applications
Ying Xiao
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS (2015)
Measurement of the internal cell temperature via impedance: Evaluation and application of a new method
Jan Philipp Schmidt et al.
JOURNAL OF POWER SOURCES (2013)
A review on the key issues for lithium-ion battery management in electric vehicles
Languang Lu et al.
JOURNAL OF POWER SOURCES (2013)
Multiscale modelling and numerical simulation of rechargeable lithium ion batteries: concepts, methods and challenges
Alejandro A. Franco
RSC ADVANCES (2013)
Instantaneous measurement of the internal temperature in lithium-ion rechargeable cells
Rengaswamy Srinivasan et al.
ELECTROCHIMICA ACTA (2011)
A Critical Review of Thermal Issues in Lithium-Ion Batteries
Todd M. Bandhauer et al.
JOURNAL OF THE ELECTROCHEMICAL SOCIETY (2011)
Human Tracking Using Convolutional Neural Networks
Jialue Fan et al.
IEEE TRANSACTIONS ON NEURAL NETWORKS (2010)
Thermal modeling of a cylindrical LiFePO4/graphite lithium-ion battery
Christophe Forgez et al.
JOURNAL OF POWER SOURCES (2010)
Thermal analysis of lithium-ion batteries
SC Chen et al.
JOURNAL OF POWER SOURCES (2005)
Characterization of LiFePO4 as the cathode material for rechargeable lithium batteries
M Takahashi et al.
JOURNAL OF POWER SOURCES (2001)