3 citations · 4 across the 2 of their papers we have counts for
3 papers
eess.SY2026
Filter-Augmented Reinforcement Learning for Battery Fast Charging with State of Health and Plating-Aware Reward Design
Meng Yuan, Yang Li, Changfu Zou
Fast charging of lithium-ion batteries is crucial for electric vehicle adoption, yet it increases safety risks and accelerates battery ageing. To address this, we propose a filter-…
eess.SY2024★ 1 cited
A Unified Model for Active Battery Equalization Systems
Quan Ouyang, Nourallah Ghaeminezhad, Yang Li +2
Lithium-ion battery packs demand effective active equalization systems to enhance their usable capacity and lifetime. Despite numerous topologies and control schemes proposed in th…
eess.SY2024★ 3 cited
Electrical Load Forecasting Model Using Hybrid LSTM Neural Networks with Online Correction
Nan Lu, Quan Ouyang, Yang Li +1
Accurate electrical load forecasting is of great importance for the efficient operation and control of modern power systems. In this work, a hybrid long short-term memory (LSTM)-ba…