Design, Simulation and Implementation of an Intelligent Battery Charging System

In this paper, an intelligent battery charger for a set of Ni-Cd batteries is designed, Simulated and experimentally tested. A Fuzzy inference process utilized in a Power Management System (PMS) to control a BUCK converter as a battery charging system. Battery temperature and voltage variations are used as controller input variables and charge current as output. Battery voltage and temperature is kept safe and stable during the charge process. Experimental results also confirmed by computer simulation and show control potentialities.

[1]  Hartmut Surmann,et al.  Genetic optimization of a fuzzy system for charging batteries , 1996, IEEE Trans. Ind. Electron..

[2]  Mohammad Jafari,et al.  Simulation and implementation of a fuzzy controlled charger for Ni-Cd batteries , 2010, 2010 IEEE International Conference on Wireless Communications, Networking and Information Security.

[3]  Chuen-Chien Lee.  FUZZY LOGIC CONTROL SYSTEMS: FUZZY LOGIC CONTROLLER - PART I , 1990 .

[4]  Juan Luis Castro,et al.  Fuzzy logic controllers are universal approximators , 1995, IEEE Trans. Syst. Man Cybern..

[5]  G.E.M.D.C. Bandara,et al.  Intelligent fuzzy controller for a lead-acid battery charger , 1999, IEEE SMC'99 Conference Proceedings. 1999 IEEE International Conference on Systems, Man, and Cybernetics (Cat. No.99CH37028).

[6]  Nathan O. Sokal,et al.  Current-mode control, five different types, used with the three basic classes of power converters: Small-signal AC and large-signal DC characterization, stability requirements, and implementation of practical circuits , 1985, 1985 IEEE Power Electronics Specialists Conference.

[7]  P. D. Ionescu,et al.  Intelligent charger with fuzzy logic , 2003, Signals, Circuits and Systems, 2003. SCS 2003. International Symposium on.

[8]  T. R. Crompton.  Battery Reference Book , 1990 .

[9]  R. Bonnaterre,et al.  Fast charging of sealed nickel-cadmium batteries - Theory and practice , 1974 .

[10]  Lotfi A. Zadeh,et al.  Outline of a New Approach to the Analysis of Complex Systems and Decision Processes , 1973, IEEE Trans. Syst. Man Cybern..

[11]  H. Zimmermann,et al.  Fuzzy Set Theory and Its Applications , 1993 .