Youngtae No
Hanyang University
研究室紹介
Professor Youngtae No's research lab specializes in intelligent energy systems and sustainable transportation, focusing on advancing electric vehicle (EV) technology through data-driven approaches. The lab develops cutting-edge machine learning models—particularly Transformer-based architectures—for real-time prediction of EV user behavior, such as departure time and charging needs, to optimize battery life and energy efficiency. Key research directions include predictive maintenance, battery degradation modeling, and smart charging strategies that enhance the performance and longevity of lithium-ion batteries. The lab also explores the integration of AI with real-world EV operations to support sustainable urban mobility.
Research Overview
Research Output Trend
Figures are computed from collected data and may differ slightly.
Selected Papers
1Electric vehicles (EVs) are essential for sustainable mobility and combating climate change. EV performance heavily relies on lithium-ion batteries (LIBs), which degrade over time, reducing driving range and increasing maintenance costs. Prolonged exposure to high states of charge (SOC) accelerates battery degradation, which can be mitigated by delaying full charging (\ours). However, successful implementation of \ours requires accurate predictions of user departure times to ensure vehicles reac