基于人工智能的锂离子电池智能储能

G. Suciu, Andreea Badicu, Cristian Beceanu, M. Yümlü, Yusuf Kaya, Kadir Gürkan Kızak, Fatih Tahtasakal
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引用次数: 0

摘要

近年来,由于迫切需要建立更具弹性的能源基础设施,并将消费者和公用事业的能源成本保持在较低水平,储能系统迅速转型和发展。在管理电力供应的各种技术方法中,锂离子电池的应用被广泛用于提高电力能力和更好地整合可再生能源。锂离子电池的可靠性和安全性的提高需要BMS(电池管理系统)技术来实现能源系统的最佳功能,以及具有超高性能的更可持续的电池。本文旨在介绍将信息技术纳入当前储能应用中的必要性,以获得更好的性能和降低成本。基于人工智能的bms有助于参数预测和状态估计,从而提高效率并降低总体维护成本。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
AI-based intelligent energy storage using Li-ion batteries
In recent years, energy storage systems have rapidly transformed and evolved because of the pressing need to create more resilient energy infrastructures and to keep energy costs at low rates for consumers, as well as for utilities. Among the wide array of technological approaches to managing power supply, Li-Ion battery applications are widely used to increase power capabilities and to better integrate renewable energy sources. The improvement of Li-Ion batteries’ reliability and safety requires BMS (battery management system) technology for the energy systems’ optimal functionality and more sustainable batteries with ultra-high performances. This paper aims to introduce the need to incorporate information technology within the current energy storage applications for better performance and reduced costs. Artificial intelligence based BMSs facilitate parameter predictions and state estimations, thus improving efficiency and lowering overall maintenance costs.
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