摘要
储能电池具有能够平滑可再生能源输出,提高电力系统灵活性和应对电力需求峰谷等优势,有助于推动可再生能源发展,从而应对环境污染和能源紧缺的双重压力。目前市场主流的储能电池为锂离子电池,具有高比能特性,同时新型储能电池也在蓬勃发展,其中全钒液流电池具有高安全性的优势,液态金属电池具有超长循环寿命,在电力储能领域具有重要应用前景。储能电池的建模和状态估计对提高储能电池系统性能,确保其安全性以及优化维护效率至关重要,因此文中对锂离子电池、全钒液流电池和液态金属电池的建模和状态估计进行综述。首先,介绍了储能电池状态估计的整体框架,对基于实验的方法、基于模型的方法和基于数据驱动的方法进行整体介绍,并对荷电状态(state of charge,SOC)、健康状态(state of health,SOH)和剩余使用寿命(remaining useful life,RUL)进行概括;然后,从原理出发,分别总结了不同储能电池体系的内部工作过程、模型构建、状态估计与电池管理过程;最后,对不同储能电池体系的主要工作特性进行横向对比和总结,旨在为储能电池选择和发展提供启示。
Energy storage batteries are able to smooth renewable energy output,enhance power system flexibility,and address peak-demand scenarios.They play a pivotal role in promoting the development of renewable energy,thereby mitigating the dual pressures of environmental pollution and energy scarcity.Currently,lithium-ion batteries dominate the market,featuring high energy density characteristics.Emerging energy storage batteries are also thriving,with vanadium redox flow batteries offering high safety advantages,and liquid metal batteries boasting an ultra-long cycle life,which have an important application prospect in the field of power energy storage.Modeling and state estimation for energy storage batteries are crucial for enhancing the performance of energy storage battery systems,ensuring safety,and optimizing maintenance efficiency.Therefore,this paper provides a comprehensive review of the modeling and state estimation for lithium-ion batteries,vanadium redox flow batteries,and liquid metal batteries.Firstly,it introduces the overall framework of state estimation for energy storage batteries,providing a comprehensive overview of experiment-based,model-based,and data-driven methods.It summarizes the definitions of State of Charge(SOC),State of Health(SOH),and Remaining Useful Life(RUL).Subsequently,starting from the principles,the paper summarizes the internal workings,model construction,state estimation,and battery management processes of different energy storage battery systems.Finally,the paper conducts a horizontal comparison and summary of the main working characteristics of different energy storage battery systems,aiming to provide insights for the selection and development of energy storage batteries.
作者
李卓昊
杨添强
石琼林
蒋凯
LI Zhuohao;YANG Tianqiang;SHI Qiongin;JIANG Kai(State Key Laboratory of Advanced Electromagnetic Engineering and Technology(Huazhong University of Science and Technology),Wuhan 430074,China)
出处
《新型电力系统》
2024年第2期140-161,共22页
NEW TYPE POWER SYSTEMS
基金
国家自然科学基金(52337009,92372205,52277217)。
关键词
储能电池
锂离子电池
全钒液流电池
液态金属电池
电池管理系统
状态估计
energy storage battery
lithium-ion batteries
vanadium redox flow batteries
liquid metal batteries
battery management system
state estimation
