CAJ | 학술논문

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。
얼경전지내부적전화학반응시일개대배경민감적、복잡적비선성과정，대우저일과정유효적수학모형비상복잡。재현유충전기술조건하，저일인소엄중영향료얼경전지적충전질량。침대저일문제，제출료신경망락모형삼고자괄응공제책략，대얼경전지진행지능충전。방진결과표명，해계통축단료충전시간，제고료충전효솔，실현료얼경전지적지능쾌속충전。
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.