摘要
针对目前电池分类算法的局限性，在试验的基础上，依据统计分析原理，阐述了密封ＡＡ型ＭＨ－Ｎｉ电池的充放电电压和容量的概率分布服从正态分布的规律，提出了一种基于数据分析理论的阈值准则分选电池的分类算法．该算法利用电池在充电、放电时记录的采样数据，计算容量值和电压均值，根据阈值准则进行波形识别分类．给出了三种算法的分类结果，验证了该算法比其它算法更具有可行性，实现了快速、准确识别出放电容量和充放电电压特性曲线一致的电池．
The probability distribution of charge/discharge voltage and capacity for all AA-size Ni-MH cells were as the law of normal function. A classification algorithm based on a threshold value of statistical data analysis theory for MH-N cell was introdued. The method computed the capacity value and the average value of vltage, according to the data recorded dur- ing charge/discharge process. At last that curve of identification can be made by the threshold val- ue rules. The results of three classification algorithm are compared to indicate the better feasibility of the new algorithm than other classification algorthms whose cells of common property capacity and charge/discharge curve were recognized quickly and accurate.
出处
《哈尔滨理工大学学报》
CAS
2001年第4期52-56,共5页
Journal of Harbin University of Science and Technology
基金
黑龙江省自然科学基金资助项目(E9910)
黑龙江省教委指导项目(9553038)
