电源技术2012，Vol.36Issue(10)：1503-1505,1545,4.
相关向量机在蓄电池剩余容量预测中的应用
Application of relevance vector machine in battery's remaining capacity prediction
乔波强 1侯振义 1王佑民1
作者信息
- 1. 空军工程大学电讯工程学院,陕西西安710077
- 折叠
摘要
Abstract
Remaining capacity is an important parameter for battery's administration and control. In order to predict the remaining capacity of VRLA battery accurately and enhance the prediction precision, relevance vector machine was introduced. Compared with LS-SVM and GA-BPNN model, the simulation results show that the proposed method reduce the prediction model's complexity and has higher precision of prediction for practical application.关键词
蓄电池剩余容量/相关向量机/贝叶斯理论/回归预测Key words
remaining capacity for battery/ relevance vector machine/ Bayesian theory/ regression prediction分类
信息技术与安全科学引用本文复制引用
乔波强,侯振义,王佑民..相关向量机在蓄电池剩余容量预测中的应用[J].电源技术,2012,36(10):1503-1505,1545,4.
