Elman网络模型参考自适应控制在镍氢电池智能充电中的应用

摘要

镍氢电池内部的电化学反应是一个对环境敏感的、复杂的非线性过程，对于这一过程有效的数学模型非常复杂。在现有充电技术条件下，这一因素严重影响了镍氢电池的充电质量。针对这一问题，提出了神经网络模型参考自适应控制策略，对镍氢电池进行智能充电。仿真结果表明，该系统缩短了充电时间，提高了充电效率，实现了镍氢电池的智能快速充电。%The inner electrochemistrial reaction of MH -Ni battery is a complex nonlinear process , whose mathematic mode is very complex .On the condition of existing charge technology , it affects gravely charging quality of MH -Ni battery .Considering this problem , neural network model reference adaptive control is introduced to charge the MH -Ni battery intelligently .The simulation results show that the charge time is shorten , charge efficiency is improved , realizing intelligently and rapidly charge of MH -Ni battery.