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On-line battery state-of-charge estimation based on an integrated estimator
Applied Energy, 2017Energy crises and environmental issues have promoted research into development of various types of electric vehicles (EVs). Since the control strategy of EVs is essentially dependent on the state-of-charge (SoC) estimation of the batteries, one of the most critical issues of battery management system (BMS) is to accurately estimate the SOC in real-time.
Yujie Wang, Chenbin Zhang, Zonghai Chen
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Quantum neural network for State of Charge estimation
2014 6th International Conference on Information Technology and Electrical Engineering (ICITEE), 2014State of Charge (SoC) estimation is one of the most important parts of Battery Management System (BMS). Inaccurate estimation of SoC may cause overcharge or overdischarge which could lead permanent damage to battery cells. Neural Network (NN) models can yield quite accurate SoC estimation. However, the computation effort is also quite huge and it takes
Kevin Gausultan Hadith Mangunkusumo +5 more
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Li-Ion state of charge estimation methods
2014 22nd Telecommunications Forum Telfor (TELFOR), 2014The goal of this paper is to describe the key methods for state of charge estimation. The presented techniques are current counting method, open circuit voltage and battery internal resistance method. This paper describes these methods and compares their accuracy.
Petr Kribsky +3 more
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Review of Battery State-of-Charge Estimation Algorithms
2021State of charge (SOC) is an important parameter used by a battery management system (BMS). Accurate and robust algorithms ensure the safe and reliable functioning of cells or batteries. Thus far, the algorithms developed depend mainly on the current and voltage data received from individual cells or the entire battery.
Kaustubh Kaushik +2 more
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State of Charge Estimation on Constrained Embedded Devices
2022 XXVIII International Conference on Information, Communication and Automation Technologies (ICAT), 2022Edin Omerovic +2 more
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State of Charge Estimation for Lithium Batteries in EV
Advanced Materials Research, 2012The accurate estimate to remaining power of the lithium battery has a very important significance to continued operation of the electric vehicle. Based on the electrochemical mechanism of lithium batteries during charge and discharge, by using the genetic algorithms to determine the weights of the SVM network, a combination algorithm is applied to ...
Yang Yu, Wen Dong, Ze Long, Min Hong
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Batteries: Modeling and State of Charge Estimation
2013In a battery, reduction and oxidation reactions occur at each of the two electrodes, which are separated by an ionically conductive electrolyte. Typically in a battery, several electrochemical cells are connected in series to provide fixed electromotive force or voltage.
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State of Charge Estimation Using Deeplearning
2023 Innovations in Power and Advanced Computing Technologies (i-PACT), 2023Adwyck Gupta +4 more
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