Abstract
In order to make beneficial changes to the Zn/Br flow battery system, it is necessary first to understand its present structure and functional status, including the level of performance for typical systems, the operating mechanisms as well as the conventional materials and methods of construction. The previous chapter introduced and discussed the need for reliable large-scale electrical energy storage and the role of redox flow batteries for such purposes. This chapter describes the physical architecture of the Zn/Br system (i.e. electrode stack, membrane separator, electrolyte flow schematic), as well as the conventional electrolyte solution employed and the dominant chemical redox reactions occurring during charge and discharge processes at each electrode. Design considerations are detailed, such as the safe storage and treatment of bromine evolved, together with important operating practices such as tracking state-of-charge. Finally, electrochemical and overall operational performance characteristics are discussed with regard to maximizing the specific energy of the Zn/Br flow battery and scaling-up next-generation systems from benchtop testing to commercial use.
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References
Cathro KJ (1986) Zinc-bromine batteries for energy storage applications: volume 541 of end of grant report. Department of Resources and Energy, Canberra, Australia
Putt RA (1979) Assessment of technical and economic feasibility of zinc/bromine batteries for utility load leveling. Palo Alto, California
Cedzynska K (1995) Properties of modified electrolyte for zinc-bromine cells. Electrochim Acta 40:971–976. doi:10.1016/0013-4686(94)00372-8
Cathro KJ, Cedzynska K, Constable DC, Hoobin PM (1986) Selection of quaternary ammonium bromides for use in zinc/bromine cells. J Power Sources 18:349–370. doi:10.1016/0378-7753(86)80091-X
Cathro KJ (1988) Performance of zinc/bromine cells having a propionitrile electrolyte. J Power Sources 23:365–383. doi:10.1016/0378-7753(88)80081-8
Singh P (1984) Application of non-aqueous solvents to batteries. J Power Sources 11:135–142. doi:10.1016/0378-7753(84)80079-8
Singh P, White K, Parker AJ (1983) Application of non-aqueous solvents to batteries part I. Physicochemical properties of propionitrile/water two-phase solvent relevant to zinc—bromine. J Power Sources 10:309–318. doi:10.1016/0378-7753(83)80013-5
Ponce de Leon C, Walsh FC (2009) Secondary batteries - zinc systems| zinc-bromine. In: Dyer C, Garche J, Moseley P et al (eds) Encyclopedia of electrochemical power sources. Elsevier, Amsterdam, pp 487–496
Lancry E, Magnes B-Z, Ben-David I, Freiberg M (2013) New bromine complexing agents for bromide based batteries. ECS Trans 53:107–115. doi:10.1149/05307.0107ecst
Blöchl PE (1994) Projector augmented-wave method. Phys Rev B 50:17953–17979. doi:10.1103/PhysRevB.50.17953
Kresse G (1999) From ultrasoft pseudopotentials to the projector augmented-wave method. Phys Rev B 59:1758–1775. doi:10.1103/PhysRevB.59.1758
Kresse G, Furthmüller J (1996) Efficient iterative schemes for ab initio total-energy calculations using a plane-wave basis set. Phys Rev B: Condens Matter 54:11169–11186
Clark N, Eidler P, Lex P (1999) Development of zinc/bromine batteries for load-leveling applications: phase 2 final report (Sandia Report SAND99-2691). Albuquerque, New Mexico and Livermore, California
Linden D, Reddy TB (2001) Handbook of batteries, 3rd edn. McGraw-Hill Professional, New York
Baik DS, Fray DJ (2001) Electrodeposition of zinc from high acid zinc chloride solutions. J Appl Electrochem 31:1141–1147. doi:10.1023/A:1012290132379
Haller H, Riedel S (2014) Recent discoveries of polyhalogen anions - from bromine to fluorine. Zeitschrift für anorganische und allgemeine Chemie 640:1281–1291. doi:10.1002/zaac.201400085
Mader MJ (1986) A mathematical model of a Zn∕Br 2 cell on charge. J Electrochem Soc 133:1297. doi:10.1149/1.2108857
Sigma-Aldrich (2014) Material safety data sheet - bromine. Castle Hill, Sydney
Yang S-C (1994) An approximate model for estimating the faradaic efficiency loss in zinc/bromine batteries caused by cell self-discharge. J Power Sources 50:343–360. doi:10.1016/0378-7753(94)01910-X
Chiu SL, Selman JR (1992) Determination of electrode kinetics by corrosion potential measurements: zinc corrosion by bromine. J Appl Electrochem 22:28–37. doi:10.1007/BF01093008
Lim HS (1977) Zinc-bromine secondary battery. J Electrochem Soc 124:1154–1157. doi:10.1149/1.2133517
Heintz A, Illenberger C (1996) Diffusion coefficients of Br 2 in cation exchange membranes. J Membr Sci 113:175–181. doi:10.1016/0376-7388(95)00026-7
Cathro KJ, Constable DC, Hoobin PM (1988) Performance of porous plastic separators in zinc/bromine cells. J Power Sources 22:29–57. doi:10.1016/0378-7753(88)80004-1
Bellows RJ, Grimes P, Einstein H et al (1983) Zinc-bromine battery design for electric vehicles. IEEE Trans Veh Technol 32:26–32. doi:10.1109/T-VT.1983.23941
Eidler P (1999) Development of zinc/bromine batteries for load-leveling applications: phase 1 final report (Sandia Report SAND99-1853). Albuquerque, New Mexico and Livermore. California
Will FG (1979) Recent advances in zinc-bromine batteries. In: Proceedings of the eleventh international symposium, 25–28 September 1978. Academic Press, Inc. (London), Ltd., Brighton, Sussex, England, pp 313–326
Maurya S, Shin S-H, Kim Y, Moon S-H (2015) A review on recent developments of anion exchange membranes for fuel cells and redox flow batteries. RSC Adv 5:37206–37230. doi:10.1039/C5RA04741B
Gu S, Gong K, Yan EZ, Yan Y (2014) A multiple ion-exchange membrane design for redox flow batteries. Energy Environ Sci 7:2986. doi:10.1039/C4EE00165F
Arnold C, Assink RA (1988) Development of sulfonated polysulfone membranes for redox flow batteries. J Membr Sci 38:71–83. doi:10.1016/S0376-7388(00)83276-7
Hinkle KR, Jameson CJ, Murad S (2014) Transport of Vanadium and Oxovanadium Ions Across Zeolite Membranes: A Molecular. J Phys Chem C 118:23803–23810. doi:10.1021/jp507155s
Xiangguo T, Jicui D, Jing S (2014) Effects of different kinds of surfactants on Nafion membranes for all vanadium redox flow battery. J Solid State Electrochem. doi:10.1007/s10008-014-2713-7
Winardi S, Poon G, Ulaganathan M et al (2015) Effect of bromine complexing agents on the performance of cation exchange membranes in second-generation vanadium bromide battery. ChemPlusChem 80:376–381. doi:10.1002/cplu.201402260
Pop V, Bergveld HJ, Danilov D, et al. (2008) Battery management systems: accurate state-of-charge indication for battery-powered applications. Philips research book series, vol 9. Springer Science + Business Media B.V, London
Piller S, Perrin M, Jossen A (2001) Methods for state-of-charge determination and their applications. J Power Sources 96:113–120. doi:10.1016/S0378-7753(01)00560-2
Pang S, Farrell J, Du J, Barth M (2001) Battery state-of-charge estimation. In: Proceedings of the 2001 American control conference. (Cat. No.01CH37148), pp 1644–1649. IEEE, Arlington
Ng KS, Moo C-S, Chen Y-P, Hsieh Y-C (2009) Enhanced coulomb counting method for estimating state-of-charge and state-of-health of lithium-ion batteries. Appl Energy 86:1506–1511. doi:10.1016/j.apenergy.2008.11.021
Lukic SM, Bansal RC, Rodriguez F, Emadi A (2008) Energy Storage Syst Automot Appl. IEEE Trans Industr Electron 55:2258–2267. doi:10.1109/TIE.2008.918390
Bhangu BS, Bentley P, Stone DA, Bingham CM (2005) Nonlinear observers for predicting state-of-charge and state-of-health of lead-acid batteries for hybrid-electric vehicles. IEEE Trans Veh Technol 54:783–794. doi:10.1109/TVT.2004.842461
Vasebi A, Partovibakhsh M, Bathaee SMT (2007) A novel combined battery model for state-of-charge estimation in lead-acid batteries based on extended Kalman filter for hybrid electric vehicle applications. J Power Sources 174:30–40. doi:10.1016/j.jpowsour.2007.04.011
Vasebi A, Bathaee SMT, Partovibakhsh M (2008) Predicting state of charge of lead-acid batteries for hybrid electric vehicles by extended Kalman filter. Energy Convers Manag 49:75–82. doi:10.1016/j.enconman.2007.05.017
Santhanagopalan S, White RE (2006) Online estimation of the state of charge of a lithium ion cell. J Power Sources 161:1346–1355. doi:10.1016/j.jpowsour.2006.04.146
Plett GL (2004) Extended Kalman filtering for battery management systems of LiPB-based HEV battery packs. J Power Sources 134:277–292. doi:10.1016/j.jpowsour.2004.02.033
Lee S, Kim J, Lee J, Cho BH (2008) State-of-charge and capacity estimation of lithium-ion battery using a new open-circuit voltage versus state-of-charge. J Power Sources 185:1367–1373. doi:10.1016/j.jpowsour.2008.08.103
Skyllas-Kazacos M, Kazacos M (2011) State of charge monitoring methods for vanadium redox flow battery control. J Power Sources 196:8822–8827. doi:10.1016/j.jpowsour.2011.06.080
Rodrigues S, Munichandraiah N, Shukla AK (2000) A review of state-of-charge indication of batteries by means of a.c. impedance measurements. J Power Sources 87:12–20. doi:10.1016/S0378-7753(99)00351-1
Huet F (1998) A review of impedance measurements for determination of the state-of-charge or state-of-health of secondary batteries. J Power Sources 70:59–69. doi:10.1016/S0378-7753(97)02665-7
Thele M, Bohlen O, Sauer DU, Karden E (2008) Development of a voltage-behavior model for NiMH batteries using an impedance-based modeling concept. J Power Sources 175:635–643. doi:10.1016/j.jpowsour.2007.08.039
Sabatier J, Aoun M, Oustaloup A et al (2006) Fractional system identification for lead acid battery state of charge estimation. Sig Process 86:2645–2657. doi:10.1016/j.sigpro.2006.02.030
Takano K, Nozaki K, Saito Y et al (2000) Impedance spectroscopy by voltage-step chronoamperometry using the Laplace transform method in a lithium-ion battery. J Electrochem Soc 147:922–929. doi:10.1149/1.1393293
Delaille A, Perrin M, Huet F, Hernout L (2006) Study of the “coup de fouet” of lead-acid cells as a function of their state-of-charge and state-of-health. J Power Sources 158:1019–1028. doi:10.1016/j.jpowsour.2005.11.015
Verbrugge M, Tate E (2004) Adaptive state of charge algorithm for nickel metal hydride batteries including hysteresis phenomena. J Power Sources 126:236–249. doi:10.1016/j.jpowsour.2003.08.042
Rong P, Pedram M (2006) An analytical model for predicting the remaining battery capacity of lithium-ion batteries. IEEE Trans Very Large Scale Integr VLSI Syst 14:441–451. doi:10.1109/TVLSI.2006.876094
Shen Y (2010) Adaptive online state-of-charge determination based on neuro-controller and neural network. Energy Convers Manag 51:1093–1098. doi:10.1016/j.enconman.2009.12.015
Cai C, Du D, Liu Z, Ge J (2002) State-of-charge (SOC) estimation of high power Ni-MH rechargeable battery with artificial neural network. In: Proceedings of the 9th international conference on neural information processing, ICONIP ’02, pp 824–828. Nanyang Technol. Univ
Grewal S, Grant DA (2001) A novel technique for modelling the state of charge of lithium ion batteries using artificial neural networks. Twenty-Third International Telecommunications Energy Conference. INTELEC 2001. IEE, pp 174–179
Singh P, Vinjamuri R, Wang X, Reisner D (2006) Design and implementation of a fuzzy logic-based state-of-charge meter for Li-ion batteries used in portable defibrillators. J Power Sources 162:829–836. doi:10.1016/j.jpowsour.2005.04.039
Salkind AJ, Fennie C, Singh P et al (1999) Determination of state-of-charge and state-of-health of batteries by fuzzy logic methodology. J Power Sources 80:293–300. doi:10.1016/S0378-7753(99)00079-8
Lee D-T, Shiah S-J, Lee C-M, Wang Y-C (2007) State-of-charge estimation for electric scooters by using learning mechanisms. IEEE Trans Veh Technol 56:544–556. doi:10.1109/TVT.2007.891433
Cai CH, Du D, Liu ZY (2003) Battery state-of-charge (SOC) estimation using adaptive neuro-fuzzy inference system (ANFIS). In: Proceedings of the 12th IEEE international conference on fuzzy systems, FUZZ’03, pp 1068–1073. IEEE
Lee Y, Wang W, Kuo T (2008) Soft Computing for Battery State-of-Charge (BSOC) Estimation in Battery String Systems. IEEE Trans Industr Electron 55:229–239. doi:10.1109/TIE.2007.896496
Kim I (2008) Nonlinear state of charge estimator for hybrid electric vehicle battery. IEEE Trans Power Electron 23:2027–2034. doi:10.1109/TPEL.2008.924629
Viswanathan VV, Salkind AJ, Kelley JJ, Ockerman JB (1995) Effect of state of charge on impedance spectrum of sealed cells Part II: Lead acid batteries. Journal of Applied Electrochemistry 25:729–739. doi:10.1007/BF00648628
Gopikanth ML, Sathyanarayana S (1979) Impedance parameters and the state-of-charge. II. lead-acid battery. J Appl Electrochem 9:369–379. doi:10.1007/BF01112492
Hammouche A, Karden E, De Doncker RW (2004) Monitoring state-of-charge of Ni–MH and Ni–Cd batteries using impedance spectroscopy. J Power Sources 127:105–111. doi:10.1016/j.jpowsour.2003.09.012
Blanke H, Bohlen O, Buller S et al (2005) Impedance measurements on lead–acid batteries for state-of-charge, state-of-health and cranking capability prognosis in electric and hybrid electric vehicles. J Power Sources 144:418–425. doi:10.1016/j.jpowsour.2004.10.028
Singh P, Fennie C, Reisner DE, Salkind A (2000) Fuzzy logic enhanced electrochemical impedance spectroscopy (FLEEIS) to determine battery state-of-charge. In: Proceedings of the 15th annual battery conference on applications and advances, pp 199–204. Long Beach,11–14 January 2000
Arenas LF, Walsh FC, de Leon CP (2015) 3D-printing of redox flow batteries for energy storage: a rapid prototype laboratory cell. ECS J Solid State Sci Technol 4:P3080–P3085. doi:10.1149/2.0141504jss
Peng M, Yan K, Hu H et al (2015) Efficient fiber shaped zinc bromide batteries and dye sensitized solar cells for flexible power sources. J Mater Chem C 3:2157–2165. doi:10.1039/C4TC02997F
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Rajarathnam, G.P., Vassallo, A.M. (2016). Description of the Zn/Br RFB System. In: The Zinc/Bromine Flow Battery. SpringerBriefs in Energy. Springer, Singapore. https://doi.org/10.1007/978-981-287-646-1_2
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