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.
出处
《工业仪表与自动化装置》
2013年第4期56-58,共3页
Industrial Instrumentation & Automation
关键词
镍氢电池
模型参考自适应控制
智能充电
MH-Ni battery
model reference adaptive control
intelligent charge
作者简介
朱春颖（1982-），女，硕士，研究方向为神经网络优化设计和镍氢电池智能控制的研究。
