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电化学储能电池荷电状态(SOC)估算技术对比分析 被引量:7

Comparative Analysis for SOC Estimation Algorithm for Electrochemical Energy Storage System
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摘要 介绍了电化学储能系统中常用到的安时积分方法、开路电压法、负载电压法、卡尔曼滤波法、神经网络法以及最近新提出的数据融合算法等几种荷电状态(SOC)估算方法。基于电化学储能系统运行的实际工况,对比分析了各种估算技术的精确性、适用性及优缺点。 This paper introduced the basis of state of charge (SOC) definition, and some commonly used SOC estimation algorithm : ampere-hour integration, open-circuit voltage method, load voltage method, neural network method and a recently proposed data fusion algorithm. Based on the practical electrochemical energy storage system, it compared and analyzed the accuracy, applicability, advantages and disadvantages of various SOC estimation algorithms.
出处 《电器与能效管理技术》 2017年第5期76-83,共8页 Electrical & Energy Management Technology
基金 国家自然科学基金(51407167) DG84-17-001(5242001600HM)
关键词 电化学储能系统 电池 SOC估算方法 电池管理系统 electrochemical energy storage system battery SOC estimation algorithm BMS
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