Energy consumption prediction of electric vehicles based on digital twin technology

Zhaolong Zhang*, Yuan Zou, Teng Zhou, Xudong Zhang, Zhifeng Xu

*此作品的通讯作者

科研成果: 期刊稿件文章同行评审

29 引用 (Scopus)

摘要

Digital twinning technology originated in the field of aerospace. The real-time and bidi-rectional feature of data interaction guarantees its advantages of high accuracy, real-time performance and scalability. In this paper the digital twin technology was introduced to electric vehicle energy consumption research. First, an energy consumption model of an electric vehicle of BAIC BJEV was established, then the model was optimized and verified through the energy consumption data of the drum test. Based on the data of the vehicle real-time monitoring platform, a digital twin model was built, and it was trained and updated by daily new data. Eventually it can be used to predict and verify the data of vehicle. In this way the prediction of energy consumption of vehicles can be achieved.

源语言英语
文章编号160
期刊World Electric Vehicle Journal
12
4
DOI
出版状态已出版 - 12月 2021

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