数字孪生在电动汽车电池组产品生命周期管理中的应用

IF 2.5 Q2 ENGINEERING, INDUSTRIAL IET Collaborative Intelligent Manufacturing Pub Date : 2021-04-08 DOI:10.1049/cim2.12028
Suriyan Anandavel, Wei Li, Akhil Garg, Liang Gao
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引用次数: 7

摘要

华中科技大学学术前沿青年团队项目,资助/奖号:2017QYTD04摘要锂离子电池由于其高能量密度,已成为电动汽车的核心部件。然而,锂离子电池使用中的几个问题,如安全性、耐用性、充电时间和续航里程,限制了电动汽车的发展。与此同时,随着工业4.0的出现,数字孪生技术在制造业受到了广泛关注,因为它提供了对生产过程的实时监控和智能管理。作者提出了一种基于数字孪生的框架,可用于电池组的实时监控、智能管理和自主控制。该框架涵盖了电池组生命周期的所有方面,包括设计、制造、运行监控和第二次使用选项。这样的框架可以解决阻碍电池使用的一些关键问题。已经对所提出的基于数字双胞胎的框架在电动汽车电池系统中的应用进行了案例研究。结果表明,在电动汽车的电池组中部署数字双胞胎将提高电池组的安全性和使用寿命。
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Application of digital twins to the product lifecycle management of battery packs of electric vehicles

Lithium-ion batteries have become a core component of electric vehicles (EVs) because of their high energy density. However, several issues in lithium-ion batteries usage, such as safety, durability, charging time, and driving range, limit the development of EVs. Meanwhile, with the emergence of Industry 4.0, the digital twins technology has received widespread attention in the manufacturing industry because it provides real-time monitoring and intelligent management of the production process. The authors propose a framework based on digital twins, which can be used for real-time monitoring, intelligent management, and autonomous control of battery packs. The framework covers all aspects of a battery pack's lifecycle, including design, manufacturing, operation monitoring, and second use options. Such a framework can solve some critical issues inhibiting the usage of batteries. A case study of the application of the proposed digital twins-based framework to electric vehicle battery systems has been conducted. The results show that deploying digital twins into the battery packs of EVs will improve the safety and service life of the battery packs.

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来源期刊
IET Collaborative Intelligent Manufacturing
IET Collaborative Intelligent Manufacturing Engineering-Industrial and Manufacturing Engineering
CiteScore
9.10
自引率
2.40%
发文量
25
审稿时长
20 weeks
期刊介绍: IET Collaborative Intelligent Manufacturing is a Gold Open Access journal that focuses on the development of efficient and adaptive production and distribution systems. It aims to meet the ever-changing market demands by publishing original research on methodologies and techniques for the application of intelligence, data science, and emerging information and communication technologies in various aspects of manufacturing, such as design, modeling, simulation, planning, and optimization of products, processes, production, and assembly. The journal is indexed in COMPENDEX (Elsevier), Directory of Open Access Journals (DOAJ), Emerging Sources Citation Index (Clarivate Analytics), INSPEC (IET), SCOPUS (Elsevier) and Web of Science (Clarivate Analytics).
期刊最新文献
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