A multi-step fast charging-based battery capacity estimation framework of real-world electric vehicles

Accurately evaluating battery degradation is not only crucial for ensuring the safe and reliable operation of electric vehicles (EVs) but also fundamental for their intelligent management and maximum utilization. However, the non-linearity, non-measurability, and multi-stress coupled operating conditions have posed significant challenges for...

Cloud-based battery failure prediction and early warning using multi-source signals and machine learning

The swift advancement of electric vehicle technology has led to increased requirements for ensuring the safety of batteries. Various models for predicting battery life and aging have been introduced to facilitate the appropriate utilization of batteries. Timely prediction and alert systems for identifying potential battery failure due to...

Advanced controls on energy reliability, flexibility and occupant-centric control for smart and energy-efficient buildings

Advanced controls have attracted increasing interests due to the high requirement on smart and energy-efficient (SEE) buildings and decarbonization in the building industry with optimal tradeoff strategies between energy consumption and thermal comfort of built environment. However, a state-of-the-art review is lacking on advanced controls...