E ISSN: 2583-049X
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International Journal of Advanced Multidisciplinary Research and Studies

Volume 3, Issue 1, 2023

Digital Twin Technology Based Lithium-Ion Battery Management System for Smart Use



Author(s): Misbah Noreen, Abid Hussain, Muhammad Waqas Akbar, Shakeel Ahmed, Khurram Rasheed, Muhammad Usama Raza, Muhammad Imtiaz, Ikram Ul Haq

Abstract:

Scientific and reliable battery management systems (BMS) are the key to the safe and efficient application of lithium-ion battery energy storage systems. The traditional BMS has problems such as low computing resources and weak data processing ability, which makes the application of intelligent control algorithms and high simulation models limited. The digital twin (DT) technology characterized by the integration of information and physics has brought new opportunities for the development of BMSs. The creation of an intelligent BMS is accomplished through the creation of a DT that corresponds to the physical entities of the battery, virtual and real interactive feedback mechanisms, and data fusion. Systematically introduce the technical system and functions of the DT, including the data assurance layer, the modeling and calculation layer, the functional application layer, and the human-machine interaction layer. The key technologies, such as model modeling, data fusion, and mechanism model fusion, in the construction of battery DTs are analyzed. On this basis, the design framework of a lithium-ion BMS based on DT is clarified, with the goal of providing guidance and a reference for research into building an intelligent management system.


Keywords: Digital Twin, Lithium-Ion Battery, BMS, Artificial Intelligent, IoT, Electrochemical Energy Storage

Pages: 1120-1125

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