锂离子电池健康状态估计方法

综述几种常见的锂离子电池健康状态(SOH)的定义及估计方法,包括实验法、模型法、数据驱动法及融合法,分析各类方法的优缺点:实验法的可靠性较高,但耗时长;模型法易于实现嵌入式管理,但单一的模型结构容易导致较大的估计误差;数据驱动法能够充分利用电池的运行数据;融合法能够发挥各模型及算法的优势,是开发电池健康状态诊断技术的重要研究内容。展望大数据背景下锂离子电池SOH估计方法的研究方向。

The state of health estimation methods for Li-ion battery

The definition and the estimation methods of the state of health (SOH) for lithium ion batteries, including experimental method, model - based method, data driven method and fusion method were summarized. The experimental method was reliable but time - consuming;the model - based method was easy to be embedded in system, but the single model structure may lead to large error;the data driven method was favorable for the utilization of operating data and the fusion method was promising since it could take the advantage of different methods. In the era of big data, the research of SOH estimation methods for lithium ion batteries was prospected.