摘要
锂离子电池凭借其在能量密度、循环寿命等参数上的优异表现,广泛应用于航空航天、电动汽车、新能源等领域,相应地,近年来锂离子电池单体的荷电状态估计、健康状态估计和剩余使用寿命预测等问题已成为电化学、测试测量和可靠性等领域的热门研究主题。然而,在实际应用场景下,锂离子电池必须通过串并联构成电池组,为对象系统提供稳定和优质的能源供给,因此,锂离子电池组的退化建模和健康状态估计已成为具有现实需求和挑战的热点研究问题。为此,在归纳总结和对比锂离子单体和电池组的退化机理的基础上,详细综述和分析锂离子电池组退化状态识别和健康状态估计方法。同时,以锂离子电池的空间应用为实例,对现有基本理论和方法在实际应用场景下的局限性进行分析,并给出了对应的研究建议。最后,从锂离子电池组感知、建模、测试、状态估计和管理的角度出发,展望锂离子电池组健康状态估计方法的发展趋势和研究挑战,以期为飞行器、电动汽车、新能源以及其他相关领域的电池管理和优化提供设计参考。
With the significant advantages in high energy density, long cycle life and other parameters, lithium-ion batteries have been widely applied in the field of aeronautics, astronautics, electric vehicles, renewable energy, etc. Its state of charge estimation, state of health estimation and remaining useful life prediction have become the hot research issues in electrochemistry, test and measurement, reliability and other fields. While in practical applications, lithium-ion battery cells are serially and parallelly connected to construct a lithium-ion battery pack that provides stable and high-quality energy supply for the target system. Therefore the degradation modeling and state of health estimation of the lithium-ion battery pack have become the research hot spot with real requirement and challenging issues. For this purpose, on the basis of summarizing and comparing the degradation mechanism of lithium-ion battery cells and lithium-ion battery pack, reviews and analyzes the methods for degradation state identification and state of health estimation of lithium-ion battery pack. At the same time, taking the space application of lithium-ion battery pack as a case study, the limitations of existing basic theories and methods in practical application scenarios are analyzed, and the research advices are given correspondingly. Finally, starting from the sensing, modeling, testing, state estimation and management of the lithium-ion battery pack, the future developing trend and challenges of the state of health estimation methods of the lithium-ion battery pack are introduced, which may be helpful to provide a design reference for battery management and optimization in spacecraft, electric vehicles, renewable energy and other relevant fields.
作者
刘大同
宋宇晨
武巍
杨晨
彭宇
Liu Datong;Song Yuchen;Wu Wei;Yang Chen;Peng Yu(School of Electronics and Information Engineering,Harbin Institute of Technology,Harbin 150010,China;Shanghai Institute of Space Power-Sources,Shanghai 200245,China)
出处
《仪器仪表学报》
EI
CAS
CSCD
北大核心
2020年第11期1-18,共18页
Chinese Journal of Scientific Instrument
基金
国家自然科学基金(61771157)项目资助。
关键词
锂离子电池组
空间应用
退化状态识别
健康状态估计
lithium-ion battery pack
space application
degradation state identification
state of health estimation
