Results 21 to 30 of about 4,327,149 (349)

Online identification of battery model parameters and joint state of charge and state of health estimation using dual particle filter algorithms

open access: yesInternational Journal of Energy Research, 2022
Aiming at the problems of time‐varying battery parameters and inaccurate estimations of state of charge (SOC) and state of health (SOH), a joint estimation algorithm of SOC and SOH is proposed.
Yonghong Xu   +10 more
semanticscholar   +1 more source

A Novel Online State of Health Estimation Method for Electric Vehicle Pouch Cells Using Magnetic Field Imaging and Convolution Neural Networks

open access: yesElectrochem, 2022
Lithium-ion batteries (LiBs) are used as the main power source in electric vehicles (EVs). Despite their high energy density and commercial availability, LiBs chronically suffer from non-uniform cell ageing, leading to early capacity fade in the battery ...
Mehrnaz Javadipour   +3 more
doaj   +1 more source

State of Health Trajectory Prediction Based on Multi-Output Gaussian Process Regression for Lithium-Ion Battery

open access: yesBatteries, 2022
Lithium-ion battery state of health (SOH) accurate prediction is of great significance to ensure the safe reliable operation of electric vehicles and energy storage systems.
Jiwei Wang   +6 more
doaj   +1 more source

Digital twin for battery systems: Cloud battery management system with online state-of-charge and state-of-health estimation

open access: yes, 2020
Battery management is critical to enhancing the safety, reliability, and performance of the battery systems. This paper presents a cloud battery management system for battery systems to improve the computational power and data storage capability by cloud
Weihan Li   +5 more
semanticscholar   +1 more source

Machine Learning Applied to Electrified Vehicle Battery State of Charge and State of Health Estimation: State-of-the-Art

open access: yesIEEE Access, 2020
The growing interest and recent breakthroughs in artificial intelligence and machine learning (ML) have actively contributed to an increase in research and development of new methods to estimate the states of electrified vehicle batteries.
Carlos Vidal   +3 more
semanticscholar   +1 more source

Electric Vehicle Battery Health Expected at End of Life in the Upcoming Years Based on UK Data

open access: yesBatteries, 2022
Second-life businesses from Electric Vehicle (EV) batteries are gaining attention considering that these batteries are deemed as inappropriate for transport purposes once they reach 80 or 70% of State of Health (SoH).
Lluc Canals Casals   +4 more
doaj   +1 more source

Ohio State Office of Rural Health update

open access: yes
Electronic coverage as of Sept. 22, 2011: Spring 2007-Spring 2008.; No issues available Summer 2007-Spring 2007, Summer-Fall 2008.; Harvested from the web on 9/23 ...
Ohio. State Office of Rural Health.
core   +4 more sources

Analysis of Optimal Machine Learning Approach for Battery Life Estimation of Li-Ion Cell

open access: yesIEEE Access, 2021
State of health (SOH) and remaining useful life (RUL) are two major key parameters which plays a major role in battery management system. In recent years, various machine learning approaches have been proposed to estimate SOH and RUL effectively for ...
Prakash Venugopal   +6 more
doaj   +1 more source

Estimation of Online State of Charge and State of Health Based on Neural Network Model Banks Using Lithium Batteries

open access: yesSensors, 2022
Lithium batteries are secondary batteries used as power sources in various applications, such as electric vehicles, portable devices, and energy storage devices.
Jong-Hyun Lee, In-Soo Lee
doaj   +1 more source

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