Results 21 to 30 of about 629,061 (300)

Design and implementation of state-of-charge estimation based on back-propagation neural network for smart uninterruptible power system

open access: yesInternational Journal of Distributed Sensor Networks, 2019
In this article, a method for estimating the state of charge of lithium battery based on back-propagation neural network is proposed and implemented for uninterruptible power system.
Shuo Li, Song Li, Haifeng Zhao, Yuan An
doaj   +1 more source

Multiple-imputation-particle-filtering for Uncertainty Characterization in Battery State-of-Charge Estimation Problems with Missing Measurement Data: Performance Analysis and Impact on Prognostic Algorithms

open access: yesInternational Journal of Prognostics and Health Management, 2015
The implementation of particle-filtering-based algorithms for state estimation purposes often has to deal with the problem of missing observations. An efficient design requires an appropriate methodology for real-time uncertainty characterization within ...
David E. Acuña   +3 more
doaj   +1 more source

Kalman-variant estimators for state of charge in lithium-sulfur batteries [PDF]

open access: yes, 2017
Lithium-sulfur batteries are now commercially available, offering high specific energy density, low production costs and high safety. However, there is no commercially-available battery management system for them, and there are no published methods for ...
Auger, Daniel J.   +4 more
core   +2 more sources

Estimation method of state of charge of lithium battery for nodes of wireless sensor network

open access: yesGong-kuang zidonghua, 2015
In view of problem of big estimation error of estimation method of state of charge using lithium battery detection chip DS2786, an estimation method of lithium battery for nodes in wireless sensor network was proposed combined with DS2786 chip and Kalman
YANG Lei   +3 more
doaj   +1 more source

Electric vehicle battery parameter identification and SOC observability analysis: NiMH and Li-S case studies [PDF]

open access: yes, 2016
In this study, a framework is proposed for battery model identification to be applied in electric vehicle energy storage systems. The main advantage of the proposed approach is having capability to handle different battery chemistries.
Auger, Daniel J.   +3 more
core   +2 more sources

A Behavioral Algorithm for State of Charge Estimation [PDF]

open access: yesWorld Electric Vehicle Journal, 2012
In Hybrid Electricle Vehicles (HEV), performing online energy management is an important task to be achieved to reduce emissions, fuel consumption and increase vehicle performance. For this task, estimating the State of Charge (SOC) is needed since it serves as a measure of energy that is left inside an electrochemical battery.
Ayca Balkan   +3 more
openaire   +1 more source

New battery model and state-of-health determination through subspace parameter estimation and state-observer techniques [PDF]

open access: yes, 2009
This paper describes a novel adaptive battery model based on a remapped variant of the well-known Randles' lead-acid model. Remapping of the model is shown to allow improved modeling capabilities and accurate estimates of dynamic circuit parameters when ...
Bentley, P.   +3 more
core   +2 more sources

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

The State of Charge Estimating Methods for Battery: A Review [PDF]

open access: yesISRN Applied Mathematics, 2013
An overview of new and current developments in state of charge (SOC) estimating methods for battery is given where the focus lies upon mathematical principles and practical implementations. As the battery SOC is an important parameter, which reflects the battery performance, so accurate estimation of SOC cannot only protect battery, prevent overcharge ...
openaire   +1 more source

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

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