水中兵器锂原电池健康状态预测技术探究  

Exploration of health state prediction technology for lithium primary batteries in underwater weapons

作　　者：董理[1] 王小二[1] 蒋培 周奇郑[1] 郭彭 DONG Li;WANG Xiaoer;JIANG Pei;ZHOU Qizheng;GUO Peng(School of Ordnance Engineering,Naval University of Engineering,Wuhan Hubei 430033,China;School of Machinery,Wuhan Institute of Shipbuilding Technology,Wuhan Hubei 430050,China)

机构地区：[1]海军工程大学兵器工程学院,湖北武汉430033 [2]武汉船舶职业技术学院机械学院,湖北武汉430050

出　　处：《电源技术》2024年第4期737-742,共6页Chinese Journal of Power Sources

摘　　要：锂原电池作为高效、清洁能源,在水中兵器装备中广泛应用,但是在长期贮存和使用过程中,暴露出了一些故障及安全隐患,因此对电池进行健康状态预测及对故障进行机理研究极为重要。针对锂原电池的故障及应用需求,梳理分析现有研究基础以及困难等,借鉴锂离子电池的成熟技术,探究性地对锂原电池故障模式、故障机理进行了分析,提出了状态预测技术的研究思路和方法,为水中兵器锂原电池健康状态预测技术体系的构建和研究提供了参考。Lithium primary batteries as a highly efficient and energy-saving energy source are widely used in underwater weapon equipments,but some faults and safety hazards have been exposed in the process of long-term storage and use,and therefore,the investigations of failure mechanism and health state prediction are urgently needed.In this study,current research foundations and difficul‐ties were sorted and analyzed by the requirements of lithium primary battery failure and application.Furthermore,based on the proven technologies of lithium-ion batteries,an exploratory analysis was conducted on the fault modes and mechanisms of lithium-ion batteries,and a research approach and method for state prediction technology were proposed.This provides a reference for the construction and research of health state prediction technology system of lithium primary batteries in underwater weapons.

关 键 词：锂原电池 健康状态预测 故障机理 

分 类 号：TM911[电气工程—电力电子与电力传动]