DOI: 10.1016/j.enconman.2009.05.001. Auxiliary diagnosis method for lead–acid battery health based on sample entropy

Auxiliary diagnosis method for lead–acid battery health based on sample entropy

10.1016/j.enconman.2009.05.001

Crossref journal-article

Elsevier BV

Energy Conversion and Management (78)

Bibliography

Sun, Y.-H., Jou, H.-L., & Wu, J.-C. (2009). Auxiliary diagnosis method for leadâacid battery health based on sample entropy. Energy Conversion and Management, 50(9), 2250â2256.

Authors 3

Yu-Hua Sun (first)
Hurng-Liahng Jou (additional)
Jinn-Chang Wu (additional)

References 31 Referenced 38

10.1016/S0196-8904(01)00078-4 / Energy Convers Manage / A new battery available capacity indicator for electric vehicles using neural network by Shen (2002)
Manya S, Tokunaga M, Oda N, Hatanaka T, Tsubota M. Development of long-life small-capacity VRLA battery without dry-out failure in telecommunication application under high temperature environment. In: IEEE INTELEC; September 2000. p. 42–5. (10.1109/INTLEC.2000.884225)
{'issue': '7–8', 'key': '10.1016/j.enconman.2009.05.001_bib3', 'first-page': '015', 'article-title': 'A VRLA battery simulation model', 'volume': '45', 'author': 'Pascoe', 'year': '2004', 'journal-title': 'Energy Convers Manage'} / Energy Convers Manage / A VRLA battery simulation model by Pascoe (2004)
10.1016/j.enconman.2007.05.017 / Energy Convers Manage / Predicting state of charge of lead–acid batteries for hybrid electric vehicles by extended Kalman filter by Vasebi (2008)
10.1016/j.enconman.2006.06.023 / Energy Convers Manage / State of available capacity estimation for lead–acid batteries in electric vehicles using neural network by Shen (2007)
10.1016/S0196-8904(03)00128-6 / Energy Convers Manage / A unified discharge voltage characteristic for VRLA battery capacity and reserve time estimation by Pascoe (2004)
Davis E, Funk D, Johnson W. Internal Ohmic measurements and their relationship to battery capacity – EPRI’S ongoing technology evolution, In: Battcon, 2002. p. 12-1–10.
Landwehrle Robert E. In the final analysis: post mortem tests and measurements on a VRLA battery, In: Battcon; 2005. p. 19-1–6.
10.1016/S0378-7753(97)02601-3 / J Power Sources / The influence of different operating conditions, especially over-discharge, on the lifetime and performance of lead/acid batteries for photovoltaic systems by Garche (1997)
Sun YH, Jou HL, Wu JC. Novel auxiliary diagnosis method for state-of-health of lead–acid battery. In: International conference on power electronics and drive systems; November 2007. p. 262–6. (10.1109/PEDS.2007.4487711)
Pascoe PE, Anbuky AH. Standby VRLA battery reserve life estimation. In: IEEE INTELEC; September 2004. p. 516–23. (10.1109/TPEL.2004.836680)
IEEE Std. 1188-2005. IEEE recommended practices for maintenance, testing and replacement of valve regulated lead acid (VRLA) batteries in stationary applications; February 2006.
{'issue': '2', 'key': '10.1016/j.enconman.2009.05.001_bib13', 'first-page': '27', 'article-title': 'Testing of gel-electrolyte batteries for wheelchairs', 'volume': '25', 'author': 'William', 'year': '1988', 'journal-title': 'J Rehabil Res Dev'} / J Rehabil Res Dev / Testing of gel-electrolyte batteries for wheelchairs by William (1988)
10.1016/j.jpowsour.2005.11.008 / J Power Sources / Battery condition monitoring (BCM) technologies about lead–acid batteries by Okoshi (2006)
Bose CSC, Laman FC. Battery state of health estimation through Coup De Fouet. In: IEEE INTELEC; September 2000. p. 597–601. (10.1109/INTLEC.2000.884309)
10.1016/j.jpowsour.2005.11.015 / J Power Sources / Coup de fouet of lead–acid cells as a function of their state-of-charge and state-of-health by Delaille (2006)
Waters AR, Bullock KR, Bose CSC. Study of the monitoring the state of health of VRLA batteries through ohmic measurements. In: IEEE INTELEC; October 1997. p. 675–80. (10.1109/INTLEC.1997.646069)
Singh P, Reisner D. Fuzzy logic-based state-of-health determination of lead acid batteries. In: IEEE INTELEC; October 2002. p. 583–90. (10.1109/INTLEC.2002.1048716)
Singh P, Kaneria S, Broadhead J, Wang X, Burdick J. Fuzzy logic estimation of SOH of 125Ah VRLA batteries. In: IEEE INTELEC; September 2004. p. 524–31. (10.1109/INTLEC.2004.1401519)
Anbuky AH, Pascoe PE, Hunter PM. Knowledge based VRLA battery monitoring and health assessment. In: IEEE INTELEC; September 2000. p. 687–94. (10.1109/INTLEC.2000.884323)
Takahashi K, Watakabe Y. Development of SOH monitoring system for industrial VRLA battery string. In: IEEE INTELEC; October 2003. p. 664–70.
From Wikipedia, the free encyclopedia, In: <http://en.wikipedia.org/wiki/Entropy#Definitions_and_descriptions>.
10.1016/j.enconman.2006.03.006 / Energy Convers Manage / Thermodynamic analysis of optimal mass flow rate for fully developed laminar forced convection in a helical coiled tube based on minimal entropy generation principle by Ko (2006)
{'issue': '15–16', 'key': '10.1016/j.enconman.2009.05.001_bib24', 'first-page': '2577', 'article-title': 'The use of wind probability distributions derived from the maximum entropy principle in the analysis of wind energy. A case study', 'volume': '47', 'author': 'Ramı’rez a', 'year': '2006', 'journal-title': 'Energy Convers Manage'} / Energy Convers Manage / The use of wind probability distributions derived from the maximum entropy principle in the analysis of wind energy. A case study by Ramı’rez a (2006)
10.1016/j.enconman.2004.10.020 / Energy Convers Manage / Application of EoEP principle with variable heat transfer coefficient in minimizing entropy production in heat exchangers by Balkan (2005)
{'issue': '6', 'key': '10.1016/j.enconman.2009.05.001_bib26', 'first-page': 'H2039', 'article-title': 'Physiological time series analysis using approximate and sample entropy', 'volume': '278', 'author': 'Richman', 'year': '2000', 'journal-title': 'Am J Physiol'} / Am J Physiol / Physiological time series analysis using approximate and sample entropy by Richman (2000)
Volkan Tuzcu, Selman Nas. Sample entropy analysis of heart rhythm following cardiac transplantation. In: IEEE international conference on systems, man and cybernetics Waikoloa; October 2005. p. 198–202. (10.1109/ICSMC.2005.1571145)
10.1073/pnas.88.6.2297 / Proc Natl Acad Sci USA / Approximate entropy as a measure of system complexity by Pincus (1991)
Xinnian Chen, Solomon Irene C, Chon Ki H. Comparison of the use of approximate entropy and sample entropy: applications to neural respiratory signal. In: IEEE engineering in medicine and biology 27th annual conference; September 2005. p. 4212–5. (10.1109/IEMBS.2005.1615393)
10.1016/j.measurement.2003.08.012 / Measurement / Automated battery test system by Pascoe (2003)
Ren-Hung Wang. Application of approximate entropy for detection of electric power signals with FPGA realization. Master dissertation, Department of Electrical Engineering, National Cheng Kung University, Taiwan; 2007.

Dates

Type	When
Created	16 years, 2 months ago (June 17, 2009, 4:41 a.m.)
Deposited	6 months, 4 weeks ago (Feb. 10, 2025, 12:27 a.m.)
Indexed	3 months ago (June 4, 2025, 2:47 a.m.)
Issued	16 years ago (Sept. 1, 2009)
Published	16 years ago (Sept. 1, 2009)
Published Print	16 years ago (Sept. 1, 2009)

Funders 0

None

BibTeX

@article{Sun_2009, title={Auxiliary diagnosis method for lead–acid battery health based on sample entropy}, volume={50}, ISSN={0196-8904}, url={http://dx.doi.org/10.1016/j.enconman.2009.05.001}, DOI={10.1016/j.enconman.2009.05.001}, number={9}, journal={Energy Conversion and Management}, publisher={Elsevier BV}, author={Sun, Yu-Hua and Jou, Hurng-Liahng and Wu, Jinn-Chang}, year={2009}, month=sep, pages={2250–2256} }

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