Related references
Note: Only part of the references are listed.Offline and Online Blended Machine Learning for Lithium-Ion Battery Health State Estimation
Chengqi She et al.
IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION (2022)
Online capacity estimation of lithium-ion batteries with deep long short-term memory networks
Weihan Li et al.
JOURNAL OF POWER SOURCES (2021)
A Novel Capacity Estimation Approach for Lithium-Ion Batteries Combining Three-Parameter Capacity Fade Model With Constant Current Charging Curves
Tao Sun et al.
IEEE TRANSACTIONS ON ENERGY CONVERSION (2021)
Incremental Capacity Analysis as a State of Health Estimation Method for Lithium-Ion Battery Modules with Series-Connected Cells
Amelie Krupp et al.
BATTERIES-BASEL (2021)
A rapid online calculation method for state of health of lithium-ion battery based on coulomb counting method and differential voltage analysis
Shuzhi Zhang et al.
JOURNAL OF POWER SOURCES (2020)
Modeling of Dynamic Hysteresis Characters for the Lithium-Ion Battery
Yongling He et al.
JOURNAL OF THE ELECTROCHEMICAL SOCIETY (2020)
Machine Learning-Based Lithium-Ion Battery Capacity Estimation Exploiting Multi-Channel Charging Profiles
Yohwan Choi et al.
IEEE ACCESS (2019)
A Review of Lithium-Ion Battery for Electric Vehicle Applications and Beyond
Weidong Chen et al.
INNOVATIVE SOLUTIONS FOR ENERGY TRANSITIONS (2019)
An Electrical Equivalent Circuit Model of a Lithium Titanate Oxide Battery
Seyed Saeed Madani et al.
BATTERIES-BASEL (2019)
Neural Network Approach for Estimating State of Charge of lithium-Ion Battery Using Backtracking Search Algorithm
Mahammad A. Hannan et al.
IEEE ACCESS (2018)
Random forest regression for online capacity estimation of lithium-ion batteries
Yi Li et al.
APPLIED ENERGY (2018)
A Review of Different Electric Equivalent Circuit Models and Parameter Identification Methods of Lithium-Ion Batteries
S. S. Madani et al.
19TH INTERNATIONAL CONFERENCE ON ADVANCED BATTERIES, ACCUMULATORS AND FUEL CELLS (ABAF 2018) (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)
Particle-filtering-based estimation of maximum available power state in Lithium-Ion batteries
Claudio Burgos-Mellado et al.
APPLIED ENERGY (2016)
Experimental analysis on the performance of lithium based batteries for road full electric and hybrid vehicles
Clemente Capasso et al.
APPLIED ENERGY (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)
High secondary aerosol contribution to particulate pollution during haze events in China
Ru-Jin Huang et al.
NATURE (2014)
Online battery state of health estimation based on Genetic Algorithm for electric and hybrid vehicle applications
Zheng Chen et al.
JOURNAL OF POWER SOURCES (2013)
Stable Configuration of a Li-Ion Series Battery Pack Based on a Screening Process for Improved Voltage/SOC Balancing
Jonghoon Kim et al.
IEEE TRANSACTIONS ON POWER ELECTRONICS (2012)
Electro-thermal battery model identification for automotive applications
Y. Hu et al.
JOURNAL OF POWER SOURCES (2011)
Electrical Energy Storage for the Grid: A Battery of Choices
Bruce Dunn et al.
SCIENCE (2011)
Ageing mechanisms in lithium-ion batteries
J Vetter et al.
JOURNAL OF POWER SOURCES (2005)
Share Paper
