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Design and Research of Battery Charged Intelligent System

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Advances in Computer Science, Intelligent System and Environment

Part of the book series: Advances in Intelligent and Soft Computing ((AINSC,volume 104))

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Abstract

The thesis researches on the theory on fast-charging method of lead-acid battery. A new type of charging pattern was proposed. The current can match the acceptance curve of the lead-acid battery proposed by J.A.Mas very well. With the intermission and discharge in the course of the charge, it avoids the gas-generation and over temperature. About charging control methods, the system selects an integrated control method to judge whether batteries was full-charge or not. A Fuzzy control algorithm was used to realize charging course. The experiment result indicates that fuzzy control has a fast response speed, a good steady state precision and a strong anti-interference.

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© 2011 Springer-Verlag Berlin Heidelberg

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Jia, J. (2011). Design and Research of Battery Charged Intelligent System. In: Jin, D., Lin, S. (eds) Advances in Computer Science, Intelligent System and Environment. Advances in Intelligent and Soft Computing, vol 104. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23777-5_2

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  • DOI: https://doi.org/10.1007/978-3-642-23777-5_2

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-23776-8

  • Online ISBN: 978-3-642-23777-5

  • eBook Packages: EngineeringEngineering (R0)

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