基于SOC的锂离子电池储能系统能量管理优化研究
发布时间:2018-08-14 12:15
【摘要】:在能源危机和环境危机的双重威胁下,能源互联网的概念应运而生,并迅速成为各国争相发展的热点。在此背景下,电池储能系统作为能源互联网中必不可少的设备,其发展空间不可限量。现在常用的电池储能系统规模较小,远远不能满足能源互联网的使用需求,因此大规模电池储能系统的出现和发展也就成为了必然。但是目前的大规模电池储能系统仍然面临着使用寿命短、工作效率低、可靠性差等一系列问题,因而人们迫切需要掌握大规模电池储能系统的设计和管理技术。鉴于此,本文主要围绕大规模电池储能系统的拓扑结构设计和能量管理优化问题展开研究。首先,通过对单体锂离子电池进行充放电特性实验,掌握锂离子电池的使用特性,为锂离子电池储能系统的优化设计和能量管理提供必要的理论依据。其次,对电池组内电池的各种连接方式进行详细的介绍并分析各种结构方式对电池组性能的影响,在指出现有的电池储能系统拓扑结构的不足之后,考虑模块化设计的优点,采用分组、分层次、独立自治的设计理念对大规模锂离子电池储能系统的拓扑结构进行科学的设计。然后,重点分析放电深度和放电倍率对锂离子电池使用寿命的影响,针对本文设计的大规模锂离子电池储能系统建立基于电池模组SOC的放电效率优化模型,并基于上述寿命影响分析和效率优化模型给出电池储能系统的放电管理策略,从而实现系统的高效长寿命稳定运行。最后,建立仿真算例,运用遗传算法对算例中锂离子电池储能系统的放电效率优化模型进行求解,并对优化的效果进行对比分析。此外,在文章的结尾处对全文的主要研究内容进行了归纳总结,并对进一步的研究和改进工作进行了展望。
[Abstract]:Under the dual threat of energy crisis and environmental crisis, the concept of energy Internet has emerged as the times require, and has rapidly become a hot spot in the development of various countries. In this context, battery energy storage system as an essential equipment in the energy Internet, its development space is unlimited. The commonly used battery energy storage system is small and can not meet the needs of the energy Internet, so the emergence and development of large-scale battery energy storage system has become inevitable. However, the current large-scale battery energy storage system still faces a series of problems, such as short service life, low working efficiency, poor reliability and so on. Therefore, people urgently need to master the design and management technology of large-scale battery energy storage system. In view of this, this paper focuses on the topology design and energy management optimization of large-scale battery energy storage system. First of all, through the charge and discharge characteristics of the lithium ion battery, we can master the characteristics of the lithium ion battery, and provide the necessary theoretical basis for the optimization design and energy management of the energy storage system of the lithium ion battery. Secondly, the various connection modes of the battery pack are introduced in detail and the influence of various structure on the performance of the battery pack is analyzed. After pointing out the shortcomings of the topology structure of the existing battery energy storage system, the advantages of modularization design are considered. The topological structure of large scale lithium ion battery energy storage system is designed scientifically by using the concept of grouping, hierarchical and independent autonomy. Then, the influence of discharge depth and discharge rate on the service life of Li-ion battery is analyzed, and a discharge efficiency optimization model based on battery module SOC is established for the large scale Li-ion battery energy storage system designed in this paper. Based on the above life impact analysis and efficiency optimization model, the discharge management strategy of battery energy storage system is given, so as to realize the stable operation of the system with high efficiency and long life. Finally, a simulation example is established, and the optimization model of discharge efficiency of Li-ion battery energy storage system is solved by genetic algorithm, and the effect of optimization is compared and analyzed. In addition, at the end of the article, the main research contents are summarized, and the further research and improvement work is prospected.
【学位授予单位】:国防科学技术大学
【学位级别】:硕士
【学位授予年份】:2014
【分类号】:TM912
[Abstract]:Under the dual threat of energy crisis and environmental crisis, the concept of energy Internet has emerged as the times require, and has rapidly become a hot spot in the development of various countries. In this context, battery energy storage system as an essential equipment in the energy Internet, its development space is unlimited. The commonly used battery energy storage system is small and can not meet the needs of the energy Internet, so the emergence and development of large-scale battery energy storage system has become inevitable. However, the current large-scale battery energy storage system still faces a series of problems, such as short service life, low working efficiency, poor reliability and so on. Therefore, people urgently need to master the design and management technology of large-scale battery energy storage system. In view of this, this paper focuses on the topology design and energy management optimization of large-scale battery energy storage system. First of all, through the charge and discharge characteristics of the lithium ion battery, we can master the characteristics of the lithium ion battery, and provide the necessary theoretical basis for the optimization design and energy management of the energy storage system of the lithium ion battery. Secondly, the various connection modes of the battery pack are introduced in detail and the influence of various structure on the performance of the battery pack is analyzed. After pointing out the shortcomings of the topology structure of the existing battery energy storage system, the advantages of modularization design are considered. The topological structure of large scale lithium ion battery energy storage system is designed scientifically by using the concept of grouping, hierarchical and independent autonomy. Then, the influence of discharge depth and discharge rate on the service life of Li-ion battery is analyzed, and a discharge efficiency optimization model based on battery module SOC is established for the large scale Li-ion battery energy storage system designed in this paper. Based on the above life impact analysis and efficiency optimization model, the discharge management strategy of battery energy storage system is given, so as to realize the stable operation of the system with high efficiency and long life. Finally, a simulation example is established, and the optimization model of discharge efficiency of Li-ion battery energy storage system is solved by genetic algorithm, and the effect of optimization is compared and analyzed. In addition, at the end of the article, the main research contents are summarized, and the further research and improvement work is prospected.
【学位授予单位】:国防科学技术大学
【学位级别】:硕士
【学位授予年份】:2014
【分类号】:TM912
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