摘要
铅酸蓄电池作为装甲车辆的启动和辅助电源,其性能状况直接影响着供电系统的安全稳定运行。在对现有铅酸蓄电池灰色预测模型深入分析的基础上,针对GM(1,1)模型要求原始数据序列等时距的局限性,提出了基于拉格朗日插值法等时距优化处理的数据序列的GM(1,1)预测模型,为判断蓄电池是否失效提供依据,避免了传统的容量试验带来的弊端。预测实例表明该模型应用于铅酸蓄电池的失效预测比原模型预测精度更高。
The health state of lead-acid battery which worked as start and auxiliary power supply for armored vehicles,affects the safe operations of power system seriously.Based on many intensive studies of the existing grey prediction models for lead-acid battery,considering the limitation of equal interval to original data sequence for GM（1,1） model,a new GM（1,1） prediction model based on the equal interval data sequence optimized by Lagrange interpolation is presented,provides a basis for judging battery failure and avoids the shortcomings of the traditional capacity experiment.The prediction examples show that the improved model has a higher accuracy than the original model in the failure prediction of lead-acid battery.
出处
《电子测量技术》
2011年第5期30-33,共4页
Electronic Measurement Technology
