Battery Digital Twins

M. Olteanu, D. Petreus
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引用次数: 4

Abstract

It is no longer a secret that we are experiencing a revolution in electric cars. However, one problem remains unresolved: how do we manage lithium-ion batteries more efficiently? Battery life depends on the materials the batteries are made of, the design of the system, and the conditions under which it operates. All these factors make efficient battery power management a real challenge. Even so, to the growing understanding of how a battery degrades over time, due to the existence of new tools for modeling and providing a diagnosis, the idea of merging the knowledge that we have already with artificial intelligence, to create a digital “twin” of the battery. This paper aims to present some preliminary results of a complex system that uses artificial intelligence to simulate and model the real behavior of batteries.
电池数码双胞胎
我们正在经历一场电动汽车革命,这已不再是一个秘密。然而,有一个问题仍然没有解决:我们如何更有效地管理锂离子电池?电池的寿命取决于电池的材料、系统的设计以及运行的条件。所有这些因素使得高效的电池电源管理成为一个真正的挑战。即便如此,由于新的建模和诊断工具的出现,人们越来越了解电池是如何随着时间的推移而退化的,将我们已有的知识与人工智能相结合的想法,创造了一个电池的数字“双胞胎”。本文旨在介绍一个复杂系统的一些初步结果,该系统使用人工智能来模拟和模拟电池的真实行为。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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