IEEE

Stochastic Driving Cycle Synthesis for Analyzing the Energy Consumption of a Battery Electric Bus

Abstract: Previous driving cycle generation studies have focused on constructing a single cycle from a large data set. This paper takes the opposite approach by presenting a novel driving cycle ...
IEEE

Multitimescale Feature Extraction From Multisensor Data Using Deep Neural Network for Battery State-of-Charge and State-of-Health Co-Estimation

Abstract: Accurate state estimation is necessary for battery management systems (BMSs) in electric vehicles (EVs) to deploy appropriate control policy; thus, the safety of the battery pack can be ...
GitHub

Deep Battery Saver: End-to-end Learning for Power Constrained Contrast Enhancement

This code is licensed under CC BY-NC-SA 4.0. Commercial usage is not permitted. If you use this code in a scientific publication, please cite the following paper: @ARTICLE{yin_tmm20_pcce, author={J.