基于DE优化变论域模糊控制的充电技术  

Charging Technology Based on Fuzzy Control Optimized by Differential Evolution

作　　者：唐超[1] 朱凯[1] 姚杰[1] 邓文[1] 

机构地区：[1]重庆通信学院,重庆400035

出　　处：《汽车工程学报》2012年第4期270-276,共7页Chinese Journal of Automotive Engineering

基　　金：国防科研重点项目:TZ-CQTY-Y-A-2010-002;2010年重庆高校优秀成果转化资助项目:Kjzh10219

摘　　要：针对锂动力电池充电系统具有多变量、非线性和离散性等特点,提出一种基于优化的模糊充电控制策略。以恒流脉冲充电为被控对象,将充电过程中电压的偏差和偏差变化率作为模糊控制器的输入,电流作为输出,以实际操作经验编写模糊规则。基于变论域的思想,采用微分进化算法对影响变论域的因子进行优化,通过适应度函数对优化效果进行评价。试验结果表明,基于微分进化算法优化论域变换参数的方法在充电控制的精度和稳定性方面要优于普通模糊充电。Considering the features of charging lithium batteries, i.e., the multivariable nonlinear anddiscrete-time system, a control strategy of charging based on optimized fuzzy was proposed. Constant currentpulse charging was the controlled object, the process of charging voltage deviation and deviation rate ofcharge were taken as the input variables of fllzzy controller, tile output of current was obtained and fllzzy rules were written by practical experience. Based on the variable universe theory, with differential evolution algorithm applied to optimize the fi^zzy control, the optimization results was evaluated by tile fitness fimction. Tile experimental results show that the proposed method in control accuracy and stability is better than the ordinary thzzy control.

关 键 词：变论域模糊控制 微分进化算法 量化因子 比例因子 锂动力电池 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]