摘要
新能源系统中通常采用蓄电池作为储能元件,蓄电池SOC的预测是蓄电池管理系统的一个重要组成部分,掌握蓄电池的工作状态和剩余容量对应用起着指导作用。论文从蓄电池SOC的定义和影响因素入手,讨论了利用物理模型预测蓄电池容量法以及系统辨识与参数估计建模法中的最新动态,最后比较和展望了蓄电池SOC预测技术。
The battery is usually used as the energystorage element in the new energy system. SOC forecasting of batteries is an important part of batteries management system. Knowing their residual capacity and workstate will play the role of guidance for their application. In this paper, the definition of the battery SOC and influence element are presented, the latest developments of ca pacity forecasting methods for batteries are analyzed. The methods include using physical model, system identification and parameters estimate model. At last, the comparison of all above technologies is given, and some possible directions in SOC forecasting tech nology of batteries are tipped.
出处
《自动化与仪器仪表》
2014年第8期133-135,138,共4页
Automation & Instrumentation
关键词
蓄电池
剩余容量
物理模型
SOC
Batteries
Residual capacity
Physical model
