Application of Digital Twin in Smart Battery Electric Vehicle: Industry 4.0
Paper ID: 1270
Muhammad Usman Shoukat
Muhammad Umair Raza Ieee Member
It is believed that using electric vehicles (EVs) for transportation is essential for addressing environmental and sustainable development challenges. Current environmental concerns, such as the fast depletion of fossil fuels, rising air pollution, rising energy demand, global warming, and climate change, have made it possible to electrify the transportation industry. EVs can address all of the aforementioned issues. Portable power supplies have become the lifeline of the EV world, especially for lithium-ion (Li-ion) batteries. Although Li-ion batteries have been the focus of EV research for a long time, issues like battery aging and safety have yet to be fully understood. According to our current understanding of smart technology, we can use the digital twin (DT) to overcome a problem that has been holding back battery development, as well as the preliminary DT applications in complicated systems such as industry 4.0. Battery modeling, state estimation, remaining useful life prediction, safety, and control, as well as the corresponding features of batteries, are discussed in this study. We put together an analysis of some of the most current achievements in battery prognostics and health monitoring. Finally, we provide prospects for the development of DTs in the field of EV batteries.