Lithium-ion batteries: Evaluation study of different charging methodologies based on aging process

Applied Energy

Volumn 152, Issue , 2015, Pages 143-155

  Abdel Monem, Mohamed ^a,b   Trad, Khiem ^b   Omar, Noshin ^a   Hegazy, Omar ^a   Mantels, Bart ^b   Mulder, Grietus ^a,b   Van den Bossche, Peter ^a   Van Mierlo, Joeri ^a  

^a VRIJE UNIVERSITEIT BRUSSEL   (Belgium)

^b FLEMISH INSTITUTE FOR TECHNOLOGICAL RESEARCH VITO   (Belgium)

Author keywords

Capacity fade; Electrochemical impedance analysis; Lithium ion batteries; Negative pulse charging; Parameter estimation

Indexed keywords

CHARGING (BATTERIES); ELECTRIC BATTERIES; ELECTROCHEMICAL IMPEDANCE SPECTROSCOPY; LITHIUM; LITHIUM ALLOYS; LITHIUM COMPOUNDS; LITHIUM-ION BATTERIES; PARAMETER ESTIMATION; SECONDARY BATTERIES;

CAPACITY FADE; CHARGING TECHNIQUES; COMPARATIVE STUDIES; CONCENTRATION POLARIZATION; ELECTROCHEMICAL IMPEDANCE ANALYSIS; EXTENDED ANALYSIS; IMPEDANCE MEASUREMENT; NEGATIVE PULSE;

LITHIUM BATTERIES;

AGING; AMPLITUDE; CATION; COMPARATIVE STUDY; CONCENTRATION (COMPOSITION); ELECTRIC FIELD; ELECTROCHEMICAL METHOD; LITHIUM; POLARIZATION; SPECTROSCOPY;

EID: 84936985442     PISSN: 03062619     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.apenergy.2015.02.064     Document Type: Article

References (22)

1. 4 and carbon microspheres as positive-electrode materials for lithium-ion batteries. Particuology 2014, 17:106-113. 10.1016/j.partic.2014.03.008.
2. Xiong R., Sun F., Gong X., Gao C. A data-driven based adaptive state of charge estimator of lithium-ion polymer battery used in electric vehicles. Appl. Energy 2014, 113:1421-1433. 10.1016/j.apenergy.2013.09.006.
3. Xiong R., Sun F., Chen Z., He H. A data-driven multi-scale extended Kalman filtering based parameter and state estimation approach of lithium-ion polymer battery in electric vehicles. Appl Energy 2014, 113:463-476. 10.1016/j.apenergy.2013.07.061.
4. Omar N., Daowd M., van den Bossche P., Hegazy O., Smekens J., Coosemans T., et al. Rechargeable energy storage systems for plug-in hybrid electric vehicles-assessment of electrical characteristics. Energies 2012, 5:2952-2988. 10.3390/en5082952.
5. Hu C., Youn B.D., Chung J. A multiscale framework with extended Kalman filter for lithium-ion battery SOC and capacity estimation. Appl Energy 2012, 92:694-704. 10.1016/j.apenergy.2011.08.002.
6. Hu C., Jain G., Tamirisa P., Gorka T. Method for estimating capacity and predicting remaining useful life of lithium-ion battery. Appl Energy 2014, 126:182-189. 10.1016/j.apenergy.2014.03.086.
7. Al-Haj Hussein A., Batarseh I. A review of charging algorithms for nickel and lithium battery chargers. IEEE Trans Vehicular Technol 2011, 60:830-838. 10.1109/TVT.2011.2106527.
8. Omar N., Monem M.A., Firouz Y., Salminen J., Smekens J., Hegazy O., et al. Lithium iron phosphate based battery - assessment of the aging parameters and development of cycle life model. Appl Energy 2014, 113:1575-1585. 10.1016/j.apenergy.2013.09.003.
9. Zhang S.S. The effect of the charging protocol on the cycle life of a Li-ion battery. J Power Sources 2006, 161:1385-1391. 10.1016/j.jpowsour.2006.06.040.
10. Li J., Murphy E., Winnick J., Kohl P.a. The effects of pulse charging on cycling characteristics of commercial lithium-ion batteries. J Power Sources 2001, 102:302-309. 10.1016/S0378-7753(01)00820-5.
11. Chen L.R. Design of duty-varied voltage pulse charger for improving Li-ion battery-charging response. IEEE Trans Ind Electron 2009, 56:480-487. 10.1109/TIE.2008.2002725.
12. Huang S.-J., Huang B.-G., Pai F.-S. Fast charge strategy based on the characterization and evaluation of LiFePO bm 4 batteries. IEEE Trans Power Electron 2013, 28:1555-1562. 10.1109/TPEL.2012.2209184.
13. Anseán D., González M., Viera J.C., García V.M., Blanco C., Valledor M. Fast charging technique for high power lithium iron phosphate batteries: a cycle life analysis. J Power Sources 2013, 239:9-15. 10.1016/j.jpowsour.2013.03.044.
14. Vo T.T., Chen X., Shen W., Kapoor A. New charging strategy for lithium-ion batteries based on the integration of Taguchi method and state of charge estimation. J Power Sources 2015, 273:413-422. 10.1016/j.jpowsour.2014.09.108.
15. EIG Batteries. [accessed 10.09.14]. n.d. http://www.eigbattery.com.
16. Buller S., Thele M., De Doncker R.W.A.A., Karden E. Impedance-based simulation models of supercapacitors and Li-ion batteries for power electronic applications. IEEE Trans Ind Appl 2005, 41:742-747. 10.1109/TIA.2005.847280.
17. Bisquert J., Garcia-Belmonte G., Bueno P., Longo E., Bulhões L.O. Impedance of constant phase element (CPE)-blocked diffusion in film electrodes. J Electroanal Chem 1998, 452:229-234. 10.1016/S0022-0728(98)00115-6.
18. Waag W., Sauer D.U. Adaptive estimation of the electromotive force of the lithium-ion battery after current interruption for an accurate state-of-charge and capacity determination. Appl Energy 2013, 111:416-427. 10.1016/j.apenergy.2013.05.001.
19. Andre D., Meiler M., Steiner K., Wimmer C., Soczka-Guth T., Sauer D.U. Characterization of high-power lithium-ion batteries by electrochemical impedance spectroscopy. I. Experimental investigation. J Power Sources 2011, 196:5334-5341. 10.1016/j.jpowsour.2010.12.102.
20. EC-Lab Software User's Manual 2012; 2012.
21. Waag W., Käbitz S., Sauer D.U. Experimental investigation of the lithium-ion battery impedance characteristic at various conditions and aging states and its influence on the application. Appl Energy 2013, 102:885-897. 10.1016/j.apenergy.2012.09.030.
22. 4 and carbon electrodes for lithium-ion 5-V cells. J Power Sources 2006, 162:780-789. 10.1016/j.jpowsour.2005.07.009.