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This paper proposes an optimal grouping method for battery packs of electric vehicles (EVs). Based on modeling the vehicle powertrain, analyzing the battery degradation …
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The structural design of commercial and industrial energy storage battery cabinets plays a critical role in ensuring the safety, performance, cost-effectiveness, and adaptability of battery …
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The rapid proliferation of renewable energy sources has compounded the complexity of power grid management, particularly in scheduling multiple Battery Energy Storage Systems (BESS). …
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Abstract. Consistence of lithium-ion power battery significantly affects the life and safety of battery modules and packs. To improve the consistence, battery grouping is …
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In actual production, the battery grouping process still relies on the traditional manual method, which results in high labor and time costs. In this paper, a robust and effective …
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Abstract Consistence is a key metric for evaluating quality and performance of lithium battery packs, and grouping is a crucial means for improving consistence and overall …
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The battery cabinet scalable configuration has become the linchpin for modern energy storage, yet 68% of operators report integration challenges according to 2023 BloombergNEF data.
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Conventional grouping control strategies for battery energy storage systems (BESS) often face issues concerning adjustable capacity discrepancy (ACD), along with …
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The service life, safety, and capacity of lithium-ion power battery packs relies heavily on the consistency among battery cells. Grouping is an effective procedure to improve …
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This paper proposes an optimal grouping method for battery packs of electric vehicles (EVs). Based on modeling the vehicle powertrain, analyzing the battery degradation …
View moreThe service life, safety, and capacity of lithium-ion power battery packs relies heavily on the consistency among battery cells. Grouping is an effective procedure to improve consistency by screening cells with similar performance and assembling them into an identical group.
Battery grouping can be achieved via clustering techniques based on characteristics like static capacity, internal resistance etc. The dynamic characteristics-based method considers the battery performance during the entire charging-discharging process and has become one of the most promising grouping method.
Essentially, battery grouping aims to categorize battery cells according to their diversities in various characteristics. These characteristics mainly comprise static capacity, voltage, internal resistance ( Li, 2014) and thermal behavior ( Fang et al., 2013 ). Battery grouping can be achieved via a similarity analysis of any characteristic above.
A two-stage distributed battery grouping scheme that splits the original centralized clustering approach into local clustering and global merging is proposed for consistency and efficiency improvement. These two stages are implemented on edge computing devices and cloud data center respectively.
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