Sydney Roth, Daniel Wesolowski, David Schrock, Noah Schorr, Sakineh Chabi
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引用次数: 0
Abstract
Lithium primary batteries (LPBs) remain essential in critical applications such as military, aerospace, medical and emergency devices, and portable electronics. Their superior energy density over lithium-ion batteries offers a significant advantage for long-duration use. Therefore, accurate estimation of the state of charge (SoC) is essential for ensuring the reliable and safe operation of these batteries. While extensive research has been conducted on SoC estimation techniques for lithium-ion secondary batteries, LPBs present unique challenges that complicate accurate SoC estimation. Moreover, research on nondestructive testing techniques for SoC estimation in LPBs is significantly lacking. In this review article, it is aimed to provide a comprehensive overview of recent advancements in SoC estimation for LPBs and generates new insights and directions for future research. Herein, existing methods are discussed and their effectiveness and mechanisms are identified, and areas for further optimization are outlined. More theoretical/experimental efforts to advance SoC detection in LPBs is recommended due to challenges identified with existing techniques.
期刊介绍:
Advanced Energy and Sustainability Research is an open access academic journal that focuses on publishing high-quality peer-reviewed research articles in the areas of energy harvesting, conversion, storage, distribution, applications, ecology, climate change, water and environmental sciences, and related societal impacts. The journal provides readers with free access to influential scientific research that has undergone rigorous peer review, a common feature of all journals in the Advanced series. In addition to original research articles, the journal publishes opinion, editorial and review articles designed to meet the needs of a broad readership interested in energy and sustainability science and related fields.
In addition, Advanced Energy and Sustainability Research is indexed in several abstracting and indexing services, including:
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INSPEC (IET)
Web of Science (Clarivate Analytics).