Genetic optimization of a fuzzy system for charging batteries

A large variety of nickel-cadmium (Ni-Cd) batteries have been developed to meet a wide range of user needs, ranging from low-current-level uses like emergency power sources for semiconductor memories to very high-power applications such as motor-operated cordless drills. This paper presents a geneti...

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Bibliographic Details
Published in:IEEE transactions on industrial electronics (1982) 1996-10, Vol.43 (5), p.541-548
Main Author: Surmann, H.
Format: Article
Language:English
Subjects:
Batteries
Cadmium
Entropy
Fuzzy control
Fuzzy sets
Fuzzy systems
Genetic algorithms
Humans
Knowledge based systems
Nickel
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Summary:A large variety of nickel-cadmium (Ni-Cd) batteries have been developed to meet a wide range of user needs, ranging from low-current-level uses like emergency power sources for semiconductor memories to very high-power applications such as motor-operated cordless drills. This paper presents a genetic algorithm approach to optimize a fuzzy rule-based system for charging such high-power Ni-Cd batteries. For the optimization of the fuzzy system, a special objective function is developed which is based on the entropy of a fuzzy system. The resulting fuzzy system is able to charge high-power Ni-Cd batteries in about 10 min with a current of 6 A.
ISSN:0278-0046
1557-9948
DOI:10.1109/41.538611