首页|锂离子电池/超级电容器混合储能系统能量管理方法综述

锂离子电池/超级电容器混合储能系统能量管理方法综述

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锂离子电池/超级电容器混合储能系统因其良好的性能、较低的成本和较强的通用性,已成为应用最为广泛的混合储能系统.能量管理技术是混合储能系统的核心技术之一,也是当前主要的研究热点.为了系统地对混合储能系统能量管理方法进行综述,本文首先对锂离子电池/超级电容器混合储能系统的拓扑结构、能量管理架构以及功率分配控制进行了介绍;而后,本文将现有的混合储能系统能量管理方法分为基于经验、基于优化、基于工况模式识别和基于机器学习5大类并进行了详细的对比分析,重点针对规律性工况与随机性工况讨论了各类能量管理方法的效能,并分析了各类方法的鲁棒性与计算复杂度;最后,本文对现有的能量管理方法进行了总结,并对该领域未来的研究方向和发展趋势进行了展望.综合分析表明,提高对随机性负载未来工况的预测精度、建立更加精准的混合储能系统模型并通过云端协同进一步提升能量管理方法的实时性将是未来混合储能系统能量管理研究的重点.
Review of energy management methods for lithium-ion battery/supercapacitor hybrid energy storage systems
Lithium-ion battery/supercapacitor hybrid energy storage system has become the most widely used hybrid energy storage system because of its good performance,low cost and strong versatility.Energy management method is one of the core technologies of hybrid energy storage systems,and it is also the main research focus at present.In order to systematically review the energy management methods of hybrid energy storage systems,this paper first introduces the topology structure,energy management architecture and power distribution control of lithium-ion battery/supercapacitor hybrid energy storage systems.Then,this paper divides the existing energy management methods of hybrid energy storage system into four categories:experience based,optimization based,working condition pattern recognition based and machine learning based,and the efficiency of each type of energy management methods is discussed respectively for regular and random conditions;the robustness and computational complexity of each method are also analyzed.Finally,the current energy management methods are summarized and the future research directions and development trends in this field are prospected.Comprehensive analysis shows that improving the prediction accuracy of stochastic load in the future,establishing a more accurate hybrid energy storage system model,and further improving the real-time performance of energy management methods through cloud collaboration will be the focus of future energy management research of hybrid energy storage systems.

hybrid energy storage systemenergy managementpower allocationlithium-ion batterysuper capacitor

宋元明、刘亚杰、金光、周星、黄旭程

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国防科技大学系统工程学院

多能源系统智慧互联技术湖南省重点实验室

国防科技大学前沿交叉学科学院,湖南 长沙 410073

混合储能系统 能量管理 功率分配 锂离子电池 超级电容器

湖南省科技创新计划资助项目国家自然科学基金项目中国博士后科学基金面上项目

2021RC2074719012102021MD703975

2024

储能科学与技术
化学工业出版社

储能科学与技术

CSTPCD北大核心
影响因子:0.852
ISSN:2095-4239
年,卷(期):2024.13(2)
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