摘要
坦克蓄电池是复杂的非线性系统,影响电池剩余容量的主要因素是电动势和内阻,在此基础上建立了电池剩余容量的初等非线性回归预测模型。实例仿真结果表明模型具有较高的精确度,预测结果优于神经网络、支持向量机等模型,而且模型结构简单、直观,可操作性强,运算结果稳定,为坦克蓄电池充电、使用及维护提供了一种新思路、新方法。
For the tank battery,a complex nonlinear system,the electromotive force and internal resistance are the main factors influencing its residual capacity. On this basis,we have established an elementary non-linear regression prediction model for the residual capacity of the battery. The simulation results show that the model has a high accuracy,and its prediction results are better than those of the neural network and support vector machine. Furthermore,the model structure is simple,intuitive and highly operable,and has steady operation results,thus providing a new thought and method for the charging,use and maintenance of the tank battery.
出处
《电气自动化》
2015年第6期109-110,113,共3页
Electrical Automation
基金
甘肃省科技厅项目:石油化工企业应急演练系统(1204GKCA004)
甘肃省财政厅专项资金立项资助(甘财教[2013]116号)
关键词
坦克蓄电池
剩余容量
高斯函数
正弦函数
预测
tank battery
residual capacity
Gauss function
sine function
prediction