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机构地区:[1]常州大学信息科学与工程学院,江苏常州213164
出 处:《蓄电池》2014年第3期133-137,共5页Chinese LABAT Man
摘 要:文中所述检测系统基于激振过程动态跟踪铅酸蓄电池状态参数由于化学过程的变化,并进行实时计算、分析和判断,高精度量化和界定被测电池的劣化和荷电等性能指标,全程自适应确定目标和理想参数,并对其实行低损在线测试。检测过程中未对铅酸蓄电池进行大电流充放电,仅在铅酸蓄电池两端加上一个幅度较小、时间较短的冲击电压信号,所以对被测电池无损害,系统能量消耗较小;利用负载补偿方法,解决了负载对检测结果的影响,同时负载特性也得到改善,实现了在线检测;由于激振检测是基于自适应模糊推理模型实现的,该模型在输入量的选择方面综合考虑了多种因素对输出值的影响,从而实现了多种铅酸蓄电池全程电压自适应和高精度测试。The detecting system, as stated in this paper is based on the vibration test procedure, dynamically following the electrochemical process of the lead-acid battery, and collects the real-time state parameters for calculation, analysis and judgment. It also quantizes precisely the degradation and chargeability of the battery and therefore self-adapts to the ideal target values. During the test, it has not charged and discharged large current to the lead-acid battery, it only plus a smaller and shorter time of impulse voltage signal on both ends of lead-acid battery, so the battery measured is damage free, and the system energy consumption is small; Using the load compensation technology, it has solved the infl uence of load on the test results. What's more, the load characteristics are improved at the same time, it realized the online detection. The vibration detection is based on the adaptive fuzzy inference model which has taken various factors into account, concerning the choices of input aspects which may influence the output value. It realized a number of lead-acid battery voltage self-adaption and accomplished a variety of high-precise tests.
关 键 词:铅酸蓄电池 冲击激励 自由振荡 激振检测 自适应模糊推理 负载补偿 劣化程度 荷电状态
分 类 号:TM912.1[电气工程—电力电子与电力传动]
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