Predictive Modeling of Charge Levels for Battery Electric Vehicles using CNN EfficientNet and IGTD Algorithm. (arXiv:2206.03612v1 [cs.CV])

Convolutional Neural Networks (CNN) have been a good solution for
understanding a vast image dataset. As the increased number of battery-equipped
electric vehicles is flourishing globally, there has been much research on
understanding which charge levels electric vehicle drivers would choose to
charge their vehicles to get to their destination without any prevention. We
implemented deep learning approaches to analyze the tabular datasets to
understand their state of charge and which charge levels they would choose. In
addition, we implemented …

algorithm arxiv battery cnn cv electric vehicles modeling predictive predictive modeling