论文标题
MWH尺度网格电池系统的数字双胞胎,以进行效率和降解分析
Digital twin of a MWh-scale grid battery system for efficiency and degradation analysis
论文作者
论文摘要
大规模网格连接的锂离子电池正在越来越多地部署,以支持电网上可再生能源的推出。这些电池系统由数千个单个单元和各种辅助系统组成,以监视和控制。尽管许多研究都集中在单锂离子细胞的行为上,但很少详细考虑系统设计选择和辅助系统控制对含有数千个细胞的长期降解和系统效率的影响。在这里,我们模拟了一个由18900个单个单元组成的1 MWH网格电池系统,每个电池都由单独的电化学模型以及热管理系统和电力电子转换器表示。模拟细胞间变异性,热效应和降解效应的影响多达10000个周期和10年。结果表明,与先前想象的相比,对初始容量的电阻和细胞对细胞变化对性能的影响较小。取而代之的是,单个细胞的降解率的变化在整个生命周期内主导了系统行为。仔细的热管理系统控制的重要性已被证明,比例控制在开关方法上提高了5%的总体效率,也将电池的总可用能量提高了10年后的5%PTS。
Large-scale grid-connected lithium-ion batteries are increasingly being deployed to support renewable energy roll-out on the power grid. These battery systems consist of thousands of individual cells and various ancillary systems for monitoring and control. Although many studies have focused on the behaviour of single lithium-ion cells, the impact of system design choices and ancillary system controls on long-term degradation and efficiency of system, containing thousands of cells, has rarely been considered in detail. Here, we simulate a 1 MWh grid battery system consisting of 18900 individual cells, each represented by a separate electrochemical model, as well as the thermal management system and power electronic converters. Simulations of the impact of cell-to-cell variability, thermal effects, and degradation effects were run for up to 10000 cycles and 10 years. It is shown that electrical contact resistances and cell-to-cell variations in initial capacity and resistance have a smaller effect on performance than previously thought. Instead, the variation in degradation rate of individual cells dominates the system behaviour over the lifetime. The importance of careful thermal management system control is demonstrated, with proportional control improving overall efficiency by 5 %-pts over on-off methods, also increasing the total usable energy of the battery by 5 %-pts after 10 years.