4.7 Article

Estimation of battery open-circuit voltage and state of charge based on dynamic matrix control-extended Kalman filter algorithm

Related references

Note: Only part of the references are listed.
Review Energy & Fuels

A critical review of improved deep learning methods for the remaining useful life prediction of lithium-ion batteries

Shunli Wang et al.

Summary: This article examines the application of deep learning algorithms in predicting the remaining useful life of lithium-ion batteries, proposing a high-accuracy deep learning algorithm to improve prediction accuracy and reduce feature testing time through analysis and comparison of different mathematical models.

ENERGY REPORTS (2021)

Article Engineering, Electrical & Electronic

Polynomial Augmented Extended Kalman Filter to Estimate the State of Charge of Lithium-Ion Batteries

Benedikt Haus et al.

IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY (2020)

Correction Electrochemistry

Modeling of Galvanostatic Charge and Discharge of the Lithium/Polymer/Insertion Cell (vol 140, pg 1526, 1993)

Marc Doyle et al.

JOURNAL OF THE ELECTROCHEMICAL SOCIETY (2018)

Review Chemistry, Physical

On state-of-charge determination for lithium-ion batteries

Zhe Li et al.

JOURNAL OF POWER SOURCES (2017)

Review Green & Sustainable Science & Technology

A review of lithium-ion battery state of charge estimation and management system in electric vehicle applications: Challenges and recommendations

M. A. Hannan et al.

RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2017)

Article Engineering, Electrical & Electronic

Lithium Polymer Battery State-of-Charge Estimation Based on Adaptive Unscented Kalman Filter and Support Vector Machine

Jinhao Meng et al.

IEEE TRANSACTIONS ON POWER ELECTRONICS (2016)

Article Engineering, Electrical & Electronic

Robust Adaptive Sliding-Mode Observer Using RBF Neural Network for Lithium-Ion Battery State of Charge Estimation in Electric Vehicles

Xiaopeng Chen et al.

IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY (2016)

Article Chemistry, Physical

An adaptive remaining energy prediction approach for lithium-ion batteries in electric vehicles

Yujie Wang et al.

JOURNAL OF POWER SOURCES (2016)

Article Chemistry, Physical

Recursive Bayesian filtering framework for lithium-ion cell state estimation

Piyush Tagade et al.

JOURNAL OF POWER SOURCES (2016)

Article Chemistry, Physical

Lithium-ion Open Circuit Voltage (OCV) curve modelling and its ageing adjustment

L. Lavigne et al.

JOURNAL OF POWER SOURCES (2016)

Article Chemistry, Physical

A self-cognizant dynamic system approach for prognostics and health management

Guangxing Bai et al.

JOURNAL OF POWER SOURCES (2015)

Article Chemistry, Physical

Electric vehicle state of charge estimation: Nonlinear correlation and fuzzy support vector machine

Hanmin Sheng et al.

JOURNAL OF POWER SOURCES (2015)

Article Chemistry, Physical

A method for state-of-charge estimation of LiFePO4 batteries based on a dual-circuit state observer

Xiaopeng Tang et al.

JOURNAL OF POWER SOURCES (2015)

Article Energy & Fuels

State-of-charge estimation and uncertainty for lithium-ion battery strings

Cyril Truchot et al.

APPLIED ENERGY (2014)

Article Automation & Control Systems

State of charge estimation for Li-ion battery based on model from extreme learning machine

Jiani Du et al.

CONTROL ENGINEERING PRACTICE (2014)

Article Automation & Control Systems

State of charge estimation for lithium-ion batteries: An adaptive approach

Huazhen Fang et al.

CONTROL ENGINEERING PRACTICE (2014)

Article Engineering, Electrical & Electronic

Hybrid state of charge estimation for lithium-ion batteries: design and implementation

Alireza Alfi et al.

IET POWER ELECTRONICS (2014)

Article Engineering, Electrical & Electronic

Reduced-Order Electrochemical Model Parameters Identification and SOC Estimation for Healthy and Aged Li-Ion Batteries Part I: Parameterization Model Development for Healthy Batteries

Ryan Ahmed et al.

IEEE JOURNAL OF EMERGING AND SELECTED TOPICS IN POWER ELECTRONICS (2014)

Article Engineering, Electrical & Electronic

Support Vector Machines Used to Estimate the Battery State of Charge

Juan Carlos Alvarez Anton et al.

IEEE TRANSACTIONS ON POWER ELECTRONICS (2013)

Review Chemistry, Physical

A review on the key issues for lithium-ion battery management in electric vehicles

Languang Lu et al.

JOURNAL OF POWER SOURCES (2013)

Article Chemistry, Physical

A comparative study of equivalent circuit models for Li-ion batteries

Xiaosong Hu et al.

JOURNAL OF POWER SOURCES (2012)

Article Chemistry, Multidisciplinary

Battery electric vehicles, hydrogen fuel cells and biofuels. Which will be the winner?

M. Contestabile et al.

ENERGY & ENVIRONMENTAL SCIENCE (2011)

Article Energy & Fuels

Reliable State Estimation of Multicell Lithium-Ion Battery Systems

Michael A. Roscher et al.

IEEE TRANSACTIONS ON ENERGY CONVERSION (2011)

Editorial Material Chemistry, Multidisciplinary

Sustainable transportation based on electric vehicle concepts: a brief overview

Ulrich Eberle et al.

ENERGY & ENVIRONMENTAL SCIENCE (2010)

Article Automation & Control Systems

State-of-Charge Estimation for Lithium-Ion Batteries Using Neural Networks and EKF

Mohammad Charkhgard et al.

IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS (2010)