Multi‐dimensional digital twin of energy storage system for electric vehicles: A brief review

Abstract

AbstractThis article proposes a Digital Twin (DT) framework for the whole life cycle of batteries. Specifically, in the stage of R&D, Digital twin can integrate the data of all technical fields into one model to optimize the battery's performance. During the manufacturing and production phase, DT can establish a digital production line and workshop to improve it. In the operation stage, aiming at various fault features in the battery operation process, with the assistance of large data samples, digital twin simulation is used to determine the fault status of the equipment accurately, to realize the self‐perception, judgment, error correction, early warning and other functions of the equipment. The article also proposes a Postoperation phase to recycle the battery to resolve the battery materials shortage problem. The critical research direction is a futuristic plan of battery communication with a charging Station, Battery Swapping System, Smart Grid, and Renewable resources. This sophisticated DT can comprehensively improve the energy system's entire life cycle management. Moreover, it can help perceive customer demand and offer an efficient operation mode to reduce running costs.