Access the full text.
Sign up today, get DeepDyve free for 14 days.
N. Watrin, B. Blunier, A. Miraoui (2012)
Review of adaptive systems for lithium batteries State-of-Charge and State-of-Health estimation2012 IEEE Transportation Electrification Conference and Expo (ITEC)
Daniel Guasch, S. Silvestre (2003)
Dynamic battery model for photovoltaic applicationsProgress in Photovoltaics: Research and Applications, 11
K. Ng, C. Moo, Yi-ping Chen, Y. Hsieh (2008)
State-of-charge estimation for lead-acid batteries based on dynamic open-circuit voltage2008 IEEE 2nd International Power and Energy Conference
C. Shepherd (1965)
Design of Primary and Secondary Cells I . Effect of Polarization and Resistance on Cell CharacteristicsJournal of The Electrochemical Society, 112
S. Blaifi, S. Moulahoum, Ilhami Colak, W. Merrouche (2017)
Monitoring and enhanced dynamic modeling of battery by genetic algorithm using LabVIEW applied in photovoltaic systemElectrical Engineering, 100
Yuang-Shung Lee, Wei-Yen Wang, Tsung-Yuan Kuo (2008)
Soft Computing for Battery State-of-Charge (BSOC) Estimation in Battery String SystemsIEEE Transactions on Industrial Electronics, 55
Long Xu, Junping Wang, Quanshi Chen (2012)
Kalman filtering state of charge estimation for battery management system based on a stochastic fuzzy neural network battery modelEnergy Conversion and Management, 53
S. Blaifi, S. Moulahoum, I. Colak, W. Merrouche (2016)
An enhanced dynamic model of battery using genetic algorithm suitable for photovoltaic applicationsApplied Energy, 169
A. Salkind, C. Fennie, Pritpal Singh, T. Atwater, D. Reisner (1999)
Determination of state-of-charge and state-of-health of batteries by fuzzy logic methodologyJournal of Power Sources, 80
S. Rodrigues, N. Munichandraiah, A. Shukla (2000)
A review of state-of-charge indication of batteries by means of a.c. impedance measurementsJournal of Power Sources, 87
A. Anbuky, P. Pascoe (2000)
VRLA battery state-of-charge estimation in telecommunication power systemsIEEE Trans. Ind. Electron., 47
O. Linda, E. William, Matthew Huff, M. Manic, Vishu Gupta, J. Nance, H. Hess, F. Rufus, Ash Thakker, Justin Govar (2009)
Intelligent neural network implementation for SOCI development of Li/CFx batteries2009 2nd International Symposium on Resilient Control Systems
J. Copetti, E. Lorenzo, F. Chenlo (1993)
A general battery model for PV system simulationProgress in Photovoltaics, 1
Pritpal Singh, R. Vinjamuri, Xiquan Wang, D. Reisner (2006)
Design and implementation of a fuzzy logic-based state-of-charge meter for Li-ion batteries used in portable defibrillatorsJournal of Power Sources, 162
C. Shepherd (1965)
Design of Primary and Secondary Cells II . An Equation Describing Battery DischargeJournal of The Electrochemical Society, 112
Pritpal Singh, C. Fennie, D. Reisner (2004)
Fuzzy logic modelling of state-of-charge and available capacity of nickel/metal hydride batteriesJournal of Power Sources, 136
Shinya Sato, A. Kawamura (2002)
A new estimation method of state of charge using terminal voltage and internal resistance for lead acid batteryProceedings of the Power Conversion Conference-Osaka 2002 (Cat. No.02TH8579), 2
S. Malkhandi (2006)
Fuzzy logic-based learning system and estimation of state-of-charge of lead-acid batteryEng. Appl. Artif. Intell., 19
T. Weigert, Q. Tian, K. Lian (2011)
State-of-charge prediction of batteries and battery–supercapacitor hybrids using artificial neural networksJournal of Power Sources, 196
K. Ng, C. Moo, Yi-ping Chen, Y. Hsieh (2009)
Enhanced coulomb counting method for estimating state-of-charge and state-of-health of lithium-ion batteriesApplied Energy, 86
S. Blaifi, S. Moulahoum, R. Benkercha, B. Taghezouit, Abdelhakim Saim (2018)
M5P model tree based fast fuzzy maximum power point trackerSolar Energy, 163
[The storage in renewable energy systems especially in photovoltaic systems is still a major issue related to their unpredictable and complex working. Due to the continuous changes of the source outputs, several problems can be encountered for the sake of modeling, monitoring, control and lifetime extending of the storage devices. Therefore, several storage devices were introduced in the practice such as pumped hydro, compressed air, flywheel, super capacitors and electrochemical storage. However, the electrochemical storage especially the storage by battery bank is still the most used in PV systems. According to the performances and the features needed in such systems, two batteries types can be distinguished, namely lithium-ion and lead-acid-based batteries. Likely, there is a consensus that the lithium battery presents a better performances comparing to other types such as the high energy density, the low self-discharge current and the low maintenance. However, the major disadvantage of these batteries type is their high-cost which somewhat has slow down their progress for the large-scale applications. From there, the storage using lead-acid battery type is still widely used for the reason of its low cost and the ease of its maintenance. However, its complex electrochemical and electrical behaviors besides the random working of the PV systems make it as one of main issues for the sake of modeling, control and lifetime extending. In this chapter, we provide description of dynamic batteries behavior, encountered problems in the PV systems with solutions proposal in terms of modeling and control.]
Published: May 28, 2020
Keywords: Energy storage; Battery modeling; Lead-acid batteries; State of charge (SOC); State of health (SOH)
Read and print from thousands of top scholarly journals.
Already have an account? Log in
Bookmark this article. You can see your Bookmarks on your DeepDyve Library.
To save an article, log in first, or sign up for a DeepDyve account if you don’t already have one.
Copy and paste the desired citation format or use the link below to download a file formatted for EndNote
Access the full text.
Sign up today, get DeepDyve free for 14 days.
All DeepDyve websites use cookies to improve your online experience. They were placed on your computer when you launched this website. You can change your cookie settings through your browser.