Results 31 to 40 of about 639,841 (326)

A Nonlinear-Model-Based Observer for a State-of-Charge Estimation of a Lithium-Ion Battery in Electric Vehicles

open access: yesEnergies, 2019
This paper presents a nonlinear-model-based observer for the state of charge estimation of a lithium-ion battery cell that always exhibits a nonlinear relationship between the state of charge and the open-circuit voltage. The proposed nonlinear model for
Woo-Yong Kim   +3 more
doaj   +1 more source

A State Observer Design for Simultaneous Estimation of Charge State and Crossover in Self-Discharging Disproportionation Redox Flow Batteries [PDF]

open access: yes, 2019
This paper presents an augmented state observer design for the simultaneous estimation of charge state and crossover flux in disproportionation redox flow batteries, which exhibits exponential estimation error convergence to a bounded residual set.
Ascencio, Pedro   +3 more
core   +3 more sources

Fast Estimation of State of Charge for Lithium-Ion Batteries

open access: yesEnergies, 2014
This paper presents a novel impedance-based approach to efficiently estimate the state of charge (SOC) of a Li-ion battery. By using an AC impedance analyzer, a database is constructed, containing records of AC impedance versus SOC.
Shing-Lih Wu   +2 more
doaj   +1 more source

An Improved State of Charge and State of Power Estimation Method Based on Genetic Particle Filter for Lithium-ion Batteries

open access: yesEnergies, 2020
In this paper, an improved method for estimating the state of charge (SOC) of lithium-ion batteries is proposed, which is developed from the particle filter (PF).
Xingtao Liu   +5 more
doaj   +1 more source

Voltage relaxation curve‐based state of charge estimation method with reduced measurement time

open access: yesElectronics Letters, 2023
This paper proposes a method for estimating a battery's State of Charge using voltage relaxation curves. This method offers advantages over the conventional State of Charge estimation methods by reducing the measurement time of the Open Circuit Voltage ...
Suhyeon Lee, Dongho Lee
doaj   +1 more source

Battery State of Charge Estimation Based on Composite Multiscale Wavelet Transform

open access: yesEnergies, 2022
The traditional battery state of charge (SOC) estimation method, which is based on neural networks, directly uses terminal voltage and terminal current as the input data.
Yan Cheng   +3 more
doaj   +1 more source

Novel battery model of an all-electric personal rapid transit vehicle to determine state-of-health through subspace parameter estimation and a Kalman Estimator [PDF]

open access: yes, 2008
--The paper describes a real-time adaptive battery model for use in an all-electric Personal Rapid Transit vehicle. Whilst traditionally, circuit-based models for lead-acid batteries centre on the well-known Randles’ model, here the Randles’ model is
Bentley, P   +3 more
core   +1 more source

An Overview of Methods and Technologies for Estimating Battery State of Charge in Electric Vehicles

open access: yesEnergies, 2023
Recently, electric vehicles have gained enormous popularity due to their performance and efficiency. The investment in developing this new technology is justified by the increased awareness of the environmental impacts caused by combustion vehicles, such
Taysa Millena Banik Marques   +9 more
doaj   +1 more source

Online State of Charge and State of Health Estimation for a Lithium-Ion Battery Based on a Data–Model Fusion Method

open access: yesEnergies, 2018
The accurate monitoring of state of charge (SOC) and state of health (SOH) is critical for the reliable management of lithium-ion battery (LIB) systems.
Zhongbao Wei   +4 more
doaj   +1 more source

State of Charge Estimation of Lithium-Ion Battery for Electric Vehicles Using Machine Learning Algorithms

open access: yesWorld Electric Vehicle Journal, 2021
The durability and reliability of battery management systems in electric vehicles to forecast the state of charge (SoC) is a tedious task. As the process of battery degradation is usually non-linear, it is extremely cumbersome work to predict SoC ...
V. Chandran   +5 more
semanticscholar   +1 more source

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