基于文献计量学分析的锂离子电池健康状态和剩余使用寿命估算方法综述

IF 6.8 2区 工程技术 Q1 ENGINEERING, CIVIL
Xu Lei, Fangjian Xie, Jialong Wang, Chunling Zhang
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引用次数: 0

摘要

近年来,锂离子电池健康状态(SOH)和剩余使用寿命(RUL)估算方法的研究在新能源领域备受关注。尽管年度出版物的数量很大,但缺乏对这些贡献进行量化和分析的系统方法。本研究从CNKI和WOS数据库中选取2010年1月至2023年12月的锂离子电池SOH和RUL估算相关文献。利用文献计量学工具,如VOSviewer和CiteSpace,我们进行可视化分析,阐明该领域的现状、发展趋势和研究前沿。我们的研究包括学术活动、年度文献分布、国际合作网络、结构传播和期刊贡献。研究结果表明,年度出版物产量呈上升趋势,中国、美国、英国和加拿大在合作研究方面走在前列。中国越来越被认为是全球学术合作的枢纽。值得注意的是,哈尔滨工业大学、北京工业大学、重庆大学、中国科学院和北京交通大学是中国和世界上发表论文最多的大学。《能源存储杂志》是一份杰出的期刊,因其严格的标准和高质量的文章而在国内外广受赞誉。基于CNKI和WOS的研究内容,VOSviewer将主要研究方向分为三个主题:老化机制、SOH估计方法和RUL预测方法。诸如“在线估计”、“混合模型”和“人工神经网络”等关键词占据突出地位,表明人工智能策略得到了强烈重视。该研究最后对锂离子电池的健康和寿命评估的未来研究轨迹进行了前瞻性展望,强调了在这一重要领域持续创新和合作的迫切需要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A review of lithium-ion battery state of health and remaining useful life estimation methods based on bibliometric analysis
In recent years, research on the state of health (SOH) and remaining useful life (RUL) estimation methods for lithium-ion batteries has garnered significant attention in the new energy sector. Despite the substantial volume of annual publications, a systematic approach to quantifying and analyzing these contributions is lacking. This study focuses on selecting pertinent literature related to lithium-ion battery SOH and RUL estimation from CNKI and WOS databases, spanning January 2010 to December 2023. Employing bibliometric tools such as VOSviewer and CiteSpace, we conduct visual analyses to elucidate the current state, development trends, and research frontiers in this domain. Our examination encompasses scholarly activity, year-wise literature distribution, international collaboration networks, structural dissemination, and journal contributions. The findings indicate an upward trend in annual publication output, with China, the United States, the United Kingdom, and Canada at the forefront of collaborative research efforts. China is increasingly recognized as a pivotal hub for global scholarly partnerships. Notably, Harbin Institute of Technology, Beijing Institute of Technology, Chongqing University, Chinese Academy of Sciences, and Beijing Jiaotong University are the top institutions in China and the world in terms of publications. The Journal of Energy Storage emerges as a prominent periodical, acclaimed both domestically and internationally for its rigorous standards and high-quality articles. Based on the research content from CNKI and WOS, VOSviewer clusters the main research directions into three themes: aging mechanisms, SOH estimation methods, and RUL prediction methods. Keywords such as ‘online estimation’, ‘hybrid models’, and ‘artificial neural networks’ feature prominently, signaling a strong emphasis on artificial intelligence strategies. The study concludes with a prospective outlook on imminent research trajectories regarding the health and longevity estimations of lithium-ion batteries, highlighting the critical need for ongoing innovation and collaboration in this essential field.
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来源期刊
CiteScore
13.60
自引率
6.30%
发文量
402
审稿时长
15 weeks
期刊介绍: The Journal of Traffic and Transportation Engineering (English Edition) serves as a renowned academic platform facilitating the exchange and exploration of innovative ideas in the realm of transportation. Our journal aims to foster theoretical and experimental research in transportation and welcomes the submission of exceptional peer-reviewed papers on engineering, planning, management, and information technology. We are dedicated to expediting the peer review process and ensuring timely publication of top-notch research in this field.
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