汽车应用电池建模和 SOC/SOH 估算综述

Pierpaolo Dini, Antonio Colicelli, Sergio Saponara
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引用次数: 0

摘要

锂离子电池彻底改变了便携式和固定式能源行业,并在汽车、消费电子、可再生能源等领域得到广泛应用。然而,锂离子电池的效率和寿命与精确测量其 SOC 和健康状态 (SOH) 密切相关。鉴于锂离子电池在工业和汽车应用中的广泛采用,对估算 SOC 和 SOH 的精确算法的需求变得越来越迫切。锂离子电池的优势毋庸置疑,但与之相关的高效安全管理挑战也不容忽视。准确估算 SOC 和 SOH 对于确保优化电池管理、最大限度延长电池寿命、优化性能和防止突发故障至关重要。因此,研究和开发用于估算 SOC 和 SOH 的可靠算法已成为科学界和工业界日益关注的领域。这篇综述文章旨在深入分析锂离子电池 SOC 和 SOH 估算算法的最新进展。文章将对用于解决 SOC 和 SOH 精确估算难题的最新、最有前景的理论和实践技术进行研究和评估。此外,还将突出对不同方法的批判性评估:强调其优势、局限性和潜在的改进领域。我们的目标是提供一个清晰的视角来审视当前的状况,并为这一技术创新的关键领域确定未来可能的研发方向。
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Review on Modeling and SOC/SOH Estimation of Batteries for Automotive Applications
Lithium-ion batteries have revolutionized the portable and stationary energy industry and are finding widespread application in sectors such as automotive, consumer electronics, renewable energy, and many others. However, their efficiency and longevity are closely tied to accurately measuring their SOC and state of health (SOH). The need for precise algorithms to estimate SOC and SOH has become increasingly critical in light of the widespread adoption of lithium-ion batteries in industrial and automotive applications. While the benefits of lithium-ion batteries are undeniable, the challenges related to their efficient and safe management cannot be overlooked. Accurate estimation of SOC and SOH is crucial for ensuring optimal battery management, maximizing battery lifespan, optimizing performance, and preventing sudden failures. Consequently, research and development of reliable algorithms for estimating SOC and SOH have become an area of growing interest for the scientific and industrial community. This review article aims to provide an in-depth analysis of the state-of-the-art in SOC and SOH estimation algorithms for lithium-ion batteries. The most recent and promising theoretical and practical techniques used to address the challenges of accurate SOC and SOH estimation will be examined and evaluated. Additionally, critical evaluation of different approaches will be highlighted: emphasizing the advantages, limitations, and potential areas for improvement. The goal is to provide a clear view of the current landscape and to identify possible future directions for research and development in this crucial field for technological innovation.
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