基于神经网络的SLA蓄电池智能充电控制研究

Study on the intelligent charging control of SLA battery based on Neural Network

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。

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 wast- age, prolonging the service life of SLA battery.