A new artificial bee swarm algorithm for optimization of proton exchange membrane fuel cell model parameters

Akbari, R., Mohammadi, A., Ziarati, K., 2010. A novel bee swarm optimization algorithm for numerical function optimization. Commun. Nonl. Sci. Numer. Simul., 15(10):3142–3155. [doi:10.1016/j.cnsns.2009.11.003]

Bernardi, D.M., Verbrugge, M.W., 1992. A mathematical model of the solid-polymer-electrolyte fuel-cell. J. Electrochem. Soc., 139(9):2477–2491. [doi:10.1149/1.2221251]

Corrêa, J.M., Farret, F.A., Canha, L.N., Simões, M.G., 2004. An electrochemical-based fuel-cell model suitable for electrical engineering automation approach. IEEE Trans. Ind. Electr., 51(5):1103–1112. [doi:10.1109/TIE.2004.834972]

Fuller, T.F., Newman, J., 1993. Water and thermal management in solid-polymer-electrolyte fuel-cells. J. Electrochem. Soc., 140(5):1218–1225. [doi:10.1149/1.2220960]

Jia, J., Li, Q., Wang, Y., Cham, Y.T., Han, M., 2009. Modeling and dynamic characteristic simulation of a proton exchange membrane fuel cell. IEEE Trans. Energy Conv., 24(1):283–291. [doi:10.1109/TEC.2008.2011837]

Karaboga, D., Basturk, B., 2007. A powerful and efficient algorithm for numerical function optimization: artificial bee colony (ABC) algorithm. J. Glob. Optim., 39(3):459–471. [doi:10.1007/s10898-007-9149-x]

Mann, R.F., Amphlett, J.C., Hooper, M.A.I., Jensen, H.M., Peppley, B.A., Roberge, P.R., 2000. Development and application of a generalised steady-state electrochemical model for a PEM fuel cell. J. Power Sources, 86(1–2):173–180. [doi:10.1016/S0378-7753(99)00484-X]

Mo, Z.J., Zhu, X.J., Wei, L.Y., Cao, G.Y., 2006. Parameter optimization for a PEMFC model with a hybrid genetic algorithm. Int. J. Energy Res., 30(8):585–597. [doi:10.1002/er.1170]

Nguyen, T.V., White, R.E., 1993. A water and heat management model for proton-exchange-membrane fuel-cells. J. Electrochem. Soc., 140(8):2178–2186. [doi:10.1149/1.2220792]

Ohenoja, M., Leiviska, K., 2010. Validation of genetic algorithm results in a fuel cell model. Int. J. Hydr. Energy, 35(22):12618–12625. [doi:10.1016/j.ijhydene.2010.07.129]

Outeiro, M.T., Chibante, R., Carvalho, A.S., de Almeida, A.T., 2008. A parameter optimized model of a proton exchange membrane fuel cell including temperature effects. J. Power Sources, 185(2):952–960. [doi:10.1016/j. jpowsour.2008.08.019]

Outeiro, M.T., Chibante, R., Carvalho, A.S., de Almeida, A.T., 2009. A new parameter extraction method for accurate modeling of PEM fuel cell. Int. J. Energy Res., 33(11):978–988. [doi:10.1002/er.1525]

Springer, T.E., Zawodzinski, T.A., Gottesfeld, S., 1991. Polymer electrolyte fuel-cell model. J. Electrochem. Soc., 138(8):2334–2342. [doi:10.1149/1.2085971]

Yang, X.S., 2005. Engineering optimizations via nature-inspired virtual bee algorithms. LNCS, 3562:317–323. [doi:10.1007/11499305_33]

Ye, M., Wang, X., Xu, Y., 2009. Parameter identification for proton exchange membrane fuel cell model using particle swarm optimization. Int. J. Hydr. Energy, 34(2):981–989. [doi:10.1016/j.ijhydene.2008.11.026]