随着储能在新能源并网接入中的广泛应用,锂离子电池组常以并联和串联接入电网,从而满足系统对电压和能量的需求.然而,由于单体电池之间的差异性,串联电池组中不可避免地存在容量和荷电状态的不一致问题,该问题不仅会降低整个电池组的可用容量,还会导致电池组加速老化和安全性降低.为此,提出一种基于充电曲线转换的一致性诊断方法,用以实现电池组内的容量和荷电状态的差异诊断.针对传统的曲线转换方法对电池管理系统数据存储和计算要求较高的问题,基于曲线转换方法提出一种QV曲线转换模型,该模型可以通过对转换模型参数的辨识,实现串联电池组内的一致性诊断.最后,在6节电池串联而成的电池组上验证了所提方法的准确性.实验结果表明,所提方法能很好地实现串联电池组内的容量一致性诊断和荷电状态一致性诊断.
Due to the widespread use of energy storage systems in new energy grid-connected,lithium-ion batteries are usually used in parallel and series connections to meet the power and energy requirements of system.However,the series-connected single battery are inconsistent,so capacity and state of charge(SOC)inconsistency is an inevitable problem,which can decrease the available capacity and result in accelerated aging and safety issues.In this paper,a consistency diagnosis method based on charging curve transformation was proposed,and capacity and SOC differences within the battery pack was diagnosed.Focusing on the problem that traditional curve transformation method had a high data storage and computational requirement to battery management system,a QV curve transformation model based on curve transformation method was proposed.The consistency diagnosis for the series-connected battery pack is realized in real-time by parameter identification.Finally,through the analysis of a battery pack with six cells connected in series,the accuracy of the proposed method is verified,and the experimental results indicate that the proposed method can realize both capacity inconsistency and SOC inconsistency diagnosis.
吕炳霖;刘勇超;张佳云;田晓;李文芳
国网山东省电力公司营销服务中心(计量中心),山东 济南 250000
动力与电气工程
锂离子电池;荷电状态;一致性诊断;电池管理
lithium-ion battery;state of charge;inconsistency diagnosis;battery management
《山东电力技术》 2024 (007)
45-51 / 7
国网山东营销服务中心群众性创新项目(520633230011). Mass Innovation Project of State Grid Shandong Electric Power Company Marketing Service Center(520633230011).
10.20097/j.cnki.issn1007-9904.2024.07.006
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