基于模糊神经网络的铅酸蓄电池快速充电系统设计  

Design of Fast Charging System of Lead-Acid Batteries Based on the Fuzzy Neural Network Control Method

作　　者：刘华栋[1] 艾德峰[1] 孟德荣[1] 

机构地区：[1]海军装备部,山西太原030000

出　　处：《电源技术应用》2010年第9期24-27,共4页Power Supply Technologles and Applications

摘　　要：针对铅酸蓄电池充电过程具有非线性、时变性、滞后性的特点,提出了模糊神经网络控制充电的思想,构建了快速充电系统,对信号采集电路、充/放电主电路及控制策略和软件的总体设计进行了详细的阐述,实验表明该系统有效的缩短了充电时间,降低了充电过程中的温升,具有重要的实际意义和应用价值。According to the characteristics of non-linearity, time-varying and delay in the fast charging process of lead-acid batteries, an idea of charging with a fuzzy controller is presented and a fast charging system is constructed with a detailed illustration of the signal acquisition circuit, charge/discharge circuit, control strategy and software. Experiment results show that the system effectively reduces the charging timeand the temperature rise during charging. Thus it has important practical significance and application value.

关 键 词：快速充电 模糊控制 模糊推理 Buck/Boost电路 

分 类 号：TM912[电气工程—电力电子与电力传动]