基于反向累加灰色模型的铅酸电池剩余容量预测  

Forecast for the Remanent Capacity of Lead Acid Battery Based on Reverse Accumulative Grey Model

作　　者：乔正明[1] QIAO Zheng-ming(Mathmatics Teaching and Research Section/Changzhou Textile Garment Institute, Changzhou 213164, China)

机构地区：[1]常州纺织服装职业技术学院数学教研室

出　　处：《山东农业大学学报（自然科学版）》2019年第5期842-845,共4页Journal of Shandong Agricultural University：Natural Science Edition

摘　　要：针对铅酸电池剩余容量存在随温度、电解液浓度等外部条件而产生周期性变化而难以预测的特点,本文通过计算机模拟将反向累加离散灰色模型应用于铅酸电池剩余容量的预测中,结果表明:该预测结果的稳定性和精度明显提高,能够实现铅酸电池剩余容量的长期精度预测评估。In view of characteristics that remanent capacity of lead acid battery was difficult to be forecasted because there was cyclic variation in external conditions of remanent capacity with temperatures and electrolyte concentrations etc., this paper applied the reverse accumulative grey model in a forecast for the remanent capacity of lead acid battery. The results showed that stability and precision were obviously improved to be able to forecast the remanent capacity of lead acid battery for long time.

关 键 词：反向累加灰色模型 铅酸电池 容量预测 

分 类 号：TM911[电气工程—电力电子与电力传动]