| 基于神经网络的SLA蓄电池智能充电控制研究 |
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| 引用本文： | 魏煜帆,周新志,李中志,赵剑萍. 基于神经网络的SLA蓄电池智能充电控制研究[J]. 四川大学学报(自然科学版), 2009, 46(3): 652-656. DOI: 10.3969/j.issn.0490-6756.2009.03.027 |
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| 作者姓名： | 魏煜帆 周新志 李中志 赵剑萍 |
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| 作者单位： | 1. 四川大学电子信息学院智能控制研究所,成都,610064
2. 成都信息工程学院网络工程系,成都,610225 |
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| 摘 要： | 针对SLA蓄电池的四阶段充电特点，结合神经网络模糊控制和嵌入式技术，提出了一种基于ARM Cortex-M3 LM3S的智能模糊控制充电方案，该充电方案对充分发挥SLA蓄电池的功效，提高蓄电池的充电速度，减少充电损耗，延长蓄电池的使用寿命具有重要意义.
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| 关 键 词： | SLA蓄电池 神经网络 模糊控制 嵌入式系统 |
Study on the intelligent charging control of SLA battery based on Neural Network |
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| WEI Yu-Fan,ZHOU Xin-Zhi,LI Zhong-Zhi,ZHAO Jian-Pin. Study on the intelligent charging control of SLA battery based on Neural Network[J]. Journal of Sichuan University (Natural Science Edition), 2009, 46(3): 652-656. DOI: 10.3969/j.issn.0490-6756.2009.03.027 |
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| Authors: | WEI Yu-Fan ZHOU Xin-Zhi LI Zhong-Zhi ZHAO Jian-Pin |
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| Affiliation: | College of Electronics and Information, Sichuan University;College of Electronics and Information, Sichuan University;College of Information Engineering, Chengdu University of Information Technology;College of Electronics and Information, Sichuan University |
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| Abstract: | Aiming at the characteristics of four phrases charging of SLA battery, combining with Neural Network Fuzzy Control and Embedded System Technology, the paper provides a new scheme: an intelligence-fuzzy control charging measure based on ARM Cortex-M3 LM3S, which has important significance in probing new therapy way for raising charging efficiency and speed, reducing the charged wastage, prolonging the service life of SLA battery. |
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| Keywords: | sealed lead acid battery neural network fuzzy control embedded system |
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