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Citations Report
 
 
Cited Paper
[Jrnl 1]Online State-of-Health Assessment for Battery Management Systems
Author(s): Micea, Mihai Victor; Ungurean, Lucian; Carstoiu, Gabriel N.; Groza, Voicu
In: IEEE Transactions on Instrumentation and Measurement
Volume 60, Issue 6
Publisher: IEEE
Jun. 2011
Pages: 1997 - 2006, ISSN 0018-9456, DOI: 10.1109/TIM.2011.2115630
Indexed: ISI Web of Science, Thomson Reuters (WOS: 000290538700008), IF: 1.357
143
 [+] Keywords | [+] Abstract | Cover picture | Journal info | IEEE Index Record (Inspec)
Battery management; Battery-powered device; Nickel-metal hydride (Ni-MH); State-of-health (SoH) prediction
Battery-powered embedded systems have known a rapid evolution in recent years, as nickel-metal hydride (Ni-MH) battery technology has enabled important reductions in size and proportional increases in total capacity over the older nickel-cadmium (Ni-Cd) and lead-acid battery types. This paper addresses the problem of state-of-health (SoH) estimation and prediction for use in resource-constrained Ni-MH-battery-powered embedded systems. We propose a novel SoH prediction methodology, presenting both a theoretical analysis of the estimation algorithm and the detailed description of hardware and software implementation. Two versions of estimation algorithms are proposed, along with the analysis of their performances in terms of prediction accuracy and required processing power, as the SoH prediction is designed to run online, being part of an embedded battery management system.
83 Citations in total (with a cummulated IF: 253.642)
 
 
Citing papers
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[Jrnl 20]F. Camci, C. Ozkurt, O. Toker, V. Atamuradov, "Sampling based State of Health estimation methodology for Li-ion batteries", J Power Sources, vol. 278, Elsevier Science B.V., The Netherlands, Mar. 2015, pp. (668 - 674), ISSN 0378-7753, DOI: doi:10.1016/j.jpowsour.2014.12.119. [Indexed: ISI Web of Science, Thomson Reuters].
[Jrnl 19]B. Sun, J. Jiang, F. Zheng, W. Zhao, B. Y. Liaw, H. Ruan, Z. Han, W. Zhang, "Practical state of health estimation of power batteries based on Delphi method and grey relational grade analysis", J Power Sources, vol. 282, Elsevier Science B.V., The Netherlands, Mar. 2015, pp. (146 - 157), ISSN 0378-7753, DOI: doi:10.1016/j.jpowsour.2015.01.106. [Indexed: ISI Web of Science, Thomson Reuters].
[Jrnl 18]M. Garcia-Plaza, D. Serrano-Jimenez, J. Eloy-Garcia Carrasco, J. Alonso-Martinez, "A Ni-Cd battery model considering state of charge and hysteresis effects", J Power Sources, vol. 275, Elsevier Science B.V., The Netherlands, Feb. 2015, pp. (595 - 604), ISSN 0378-7753, DOI: 10.1016/j.jpowsour.2014.11.031. [Indexed: ISI Web of Science, Thomson Reuters].
[BChp 17]N. Kularatna, "Dynamics, models, and management of rechargeable batteries", in Energy Storage Devices for Electronic Systems: Rechargeable Batteries and Supercapacitors, sect. 3, Elsevier Science B.V., The Netherlands, Nov., 2014, pp. (63 - 135), ISBN 978-012-407-947-2, DOI: 10.1016/B978-0-12-407947-2.00003-1. [Indexed: Scopus, Elsevier].
[Conf 16]W. Rugang, Y. Zhongliang, K. Qibin, "Introduction of a new Intelligent Battery", in Proc. IEEE Int. Telecom. Energ. C, INTELEC 2014, IEEE, Vancouver, Canada, 28 Sep. - 02 Oct., 2014, pp. (1 - 6), DOI: 10.1109/INTLEC.2014.6972146. [Indexed: Scopus, Elsevier].
[Jrnl 15]W. Waag, C. Fleischer, D. U. Sauer, "Critical review of the methods for monitoring of lithium-ion batteries in electric and hybrid vehicles", J Power Sources, vol. 258, Elsevier Science B.V., The Netherlands, Jul. 2014, pp. (321 - 339), ISSN 0378-7753, DOI: 10.1016/j.jpowsour.2014.02.064. [Indexed: ISI Web of Science, Thomson Reuters].
[Jrnl 14]J. Yu, "Health Degradation Detection and Monitoring of Lithium-Ion Battery Based on Adaptive Learning Method", IEEE Trans. Instrum. Meas., vol. 63 (7), IEEE, USA, Jul. 2014, pp. (1709 - 1721), ISSN 0018-9456, DOI: 10.1109/TIM.2013.2293234. [Indexed: ISI Web of Science, Thomson Reuters].
[Conf 13]M. Catelani, L. Ciani, M. Marracci, B. Tellini, "Frequency dependent failure region definition for supercapacitors", in Proc. IEEE Instrum. Meas. Tech. C, I2MTC 2014, IEEE, Montevideo, Uruguay, 12-15 May., 2014, pp. (1021 - 1025), ISBN 978-1-4673-6386-0, DOI: 10.1109/I2MTC.2014.6860897. [Indexed: ISI Web of Science, Thomson Reuters].
[Jrnl 12]M. Landi, G. Gross, "Measurement Techniques for Online Battery State of Health Estimation in Vehicle-to-Grid Applications", IEEE Trans. Instrum. Meas., vol. 63 (5), IEEE, USA, May. 2014, pp. (1224 - 1234), ISSN 0018-9456, DOI: 10.1109/TIM.2013.2292318. [Indexed: ISI Web of Science, Thomson Reuters].
[Conf 11]C. Hua, P. Li, Y. Fang, "Study of a Charge-Discharge Equalizer", in Proc. Int. C Inf. Sci., Electron. Ellectric. Eng., ISEEE 2014, IEEE, Sapporo, Japan, 26-28 Apr., 2014, pp. (565 - 568), ISBN 978-1-4799-3196-5, DOI: 10.1109/InfoSEEE.2014.6948177. [Indexed: ISI Web of Science, Thomson Reuters].
[Conf 10]S. Nejad, D. T. Gladwin, D. A. Stone, "A microcontroller-based state-of-health estimator for lithium-ion batteries", in Proc. IET Int. C Power Elecron., Machines, Drives, PEMD 2014, vol. 7, IET, Manchester, UK, 08-10 Apr., 2014, pp. (1 - 6), ISBN 978-1-84919-815-8, DOI: 10.1049/cp.2014.0519. [Indexed: Scopus, Elsevier].
[Jrnl 9]L. C. Stevanatto, V. J. Brusamarello, S. Tairov, "Parameter Identification and Analysis of Uncertainties in Measurements of Lead-Acid Batteries", IEEE Trans. Instrum. Meas., vol. 63 (4), IEEE, USA, Apr. 2014, pp. (761 - 768), ISSN 0018-9456, DOI: 10.1109/TIM.2013.2283545. [Indexed: ISI Web of Science, Thomson Reuters].
[Jrnl 8]G. Ablay, "Online Condition Monitoring of Battery Systems With a Nonlinear Estimator", IEEE Trans. Energy Convers., vol. 29 (1), IEEE, USA, Mar. 2014, pp. (232 - 239), ISSN 0885-8969, DOI: 10.1109/TEC.2013.2291812. [Indexed: ISI Web of Science, Thomson Reuters].
[Jrnl 7]A. Moldovan, S. Weibelzahl, C. Hava Muntean, "Energy-Aware Mobile Learning:Opportunities and Challenges", IEEE Commun. Surv. Tutor., vol. 16 (1), IEEE, USA, Feb. 2014, pp. (234 - 265), ISSN 1553-877X, DOI: 10.1109/SURV.2013.071913.00194. [Indexed: ISI Web of Science, Thomson Reuters].
[Jrnl 6]Y. Xing, E. W. M. Ma, K. Tsui, M. Pecht, "An ensemble model for predicting the remaining useful performance of lithium-ion batteries", Microelectron. Reliab., vol. 53 (6), Pergamon-Elsevier Science Ltd., Oxford, UK, Jun. 2013, pp. (811 - 820), ISSN 0026-2714, DOI: 10.1016/j.microrel.2012.12.003. [Indexed: ISI Web of Science, Thomson Reuters].
[Jrnl 5]M. Shahriari, M. Farrokhi, "Online State-of-Health Estimation of VRLA Batteries Using State of Charge", IEEE Trans. Ind. Electron., vol. 60 (1), IEEE, USA, Jan. 2013, pp. (191 - 202), ISSN 0278-0046, DOI: 10.1109/TIE.2012.2186771. [Indexed: ISI Web of Science, Thomson Reuters].
[Conf 4]Y. Xing, E. W. M. Ma, K. Tsui, M. Pecht, "Influence of Parameter Initialization on Battery Life Prediction for Online Applications", in Proc. 13-rd Int. C Electron. Packaging Tech. High Density Packaging, ICEPT-HDP 2012, IEEE, Guilin, China, 13-16 Aug., 2012, pp. (1043 - 1047), ISBN 978-1-4673-1681-1. [Indexed: ISI Web of Science, Thomson Reuters].
[Conf 3]M. Yatsui, H. Bai, N. Cramer, X. Zheng, M. Azhinehfar, D. Mead, "Evaluation of the impact of the different charging algorithms on the lead-acid batteries lifetime", in Proc. IEEE Transport. Electrification C and Expo, ITEC 2012, IEEE, Dearborn, USA, 18-20 Jun., 2012, pp. (1 - 4), ISBN 978-1-4673-1407-7, DOI: 10.1109/ITEC.2012.6243444. [Indexed: Scopus, Elsevier].
[Conf 2]C. Chen, M. Pecht, "Prognostics of lithium-ion batteries using model-based and data-driven methods", in Proc. IEEE C Prognostics Syst. Health Manag., PHM 2012, IEEE, Beijing, China, 23-25 May., 2012, pp. (1 - 6), ISBN 978-1-4577-1909-7, ISSN 2166-563X, DOI: 10.1109/PHM.2012.6228850. [Indexed: Scopus, Elsevier].
[Conf 1]Y. Xing, E. W. M. Ma, K. Tsui, M. Pecht, "A Case Study on Battery Life Prediction Using Particle Filtering", in Proc. IEEE C Prognostics Syst. Health Manag., PHM 2012, IEEE, Beijing, China, 23-25 May., 2012, pp. (1 - 6), ISBN 978-1-4577-1909-7, ISSN 2166-563X, DOI: 10.1109/PHM.2012.6228847. [Indexed: Scopus, Elsevier].