Implementation of GA-trained GRNN for Intelligent Fast Charger for Ni-Cd Batteries

This paper presents the development of an intelligent genetic algorithm (GA) technique for training of a generalized regression neural network (GRNN) controller to achieve a compact network and to decrease battery charging time on a cost-effective RISC microcontroller. The suitable input-output data were selected from GA mechanism to establish GRNN. The computational complexity of GRNN can be reduced replaced by some simple polynomial forms. As a consequence, the fast charging device for nickel-cadmium (Ni-Cd) batteries can be efficiently implemented on a low-cost 16F876A RISC microcontroller. Experimental results are shown to demonstrate superiority of the proposed system

[1]  Fernando Nuño García,et al.  Intelligent and universal fast charger for Ni-Cd and Ni-MH batteries in portable applications , 2004, IEEE Transactions on Industrial Electronics.

[2]  P ? ? ? ? ? ? ? % ? ? ? ? , 1991 .

[3]  K. K. Aggarwal,et al.  Fuzzy controller for rapid nickel-cadmium batteries charger through adaptive neuro-fuzzy inference system (ANFIS) architecture , 2003, 22nd International Conference of the North American Fuzzy Information Processing Society, NAFIPS 2003.

[4]  Bogdan M. Wilamowski,et al.  Microprocessor implementation of fuzzy systems and neural networks , 2001, IJCNN'01. International Joint Conference on Neural Networks. Proceedings (Cat. No.01CH37222).

[5]  W. Kiranon,et al.  Data selection of a compact GRNN for Ni-Cd batteries fast charging , 2004, 2004 IEEE Region 10 Conference TENCON 2004..

[6]  W. Kiranon,et al.  GA-trained GRNN for Intelligent Ultra Fast Charger for Ni-Cd Batteries , 2005, 2005 International Conference on Power Electronics and Drives Systems.

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

[8]  Sirapat Chiewchanwattana,et al.  Intelligent ultra fast charger for Ni-Cd batteries , 2005, 2005 IEEE International Symposium on Circuits and Systems.

[9]  D. Linden.  Handbook Of Batteries , 2001 .