摘要
提出了一种新的电池寿命预测模型,即基于最小二乘支持向量机的电池寿命预测.首先阐述了最小二乘支持向量机的主要思想和基本算法,然后建立寿命预测模型,并利用此预测模型对实验数据进行了比较验证.验证结果表明,该模型在阀控式铅酸蓄电池寿命预测中具有很好的实用性,预测值与实测值能够保持很好的一致性.因此,基于最小二乘支持向量机的阀控式铅酸蓄电池寿命预测方法是切实可行的.
A new battery life prediction model is proposed based on least square support vector machine. The main idea and basic algorithm of least square support vector machine is expounded,and the life prediction model is established. The experimental data were compared and validated by using this prediction model. The verification results show that the model has good practicability in the valve regulated lead-acid battery life prediction,and the predictive value can be maintained in good agreement with the measured values. Therefore,based on the least square support vector machine,the life prediction method of valve regulated lead-acid battery is feasible.
出处
《大连交通大学学报》
CAS
2017年第3期116-119,共4页
Journal of Dalian Jiaotong University
基金
国网电力科技计划资助项目
关键词
预测模型
支持向量机
蓄电池
寿命
prediction model
support vector machine
battery
life
