5 papers
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-…
Online Energy Management for Bidirectional EV Charging with Rooftop PV: An Aging-Aware MPC Approach
Francesco Popolizio, Albert Škegro, Torsten Wik +2
This paper investigates the economic impact of vehicle-home-grid integration in the presence of rooftop PV, by proposing an online, aging-aware energy management strategy for an el…
Reinforcement Learning-based Home Energy Management with Heterogeneous Batteries and Stochastic EV Behaviour
Meng Yuan, Ye Wang, Xinghuo Yu +2
The widespread adoption of photovoltaic (PV), electric vehicles (EVs), and stationary energy storage systems (ESS) in households increases system complexity while simultaneously of…
Lifelong reinforcement learning for health-aware fast charging of lithium-ion batteries
Meng Yuan, Changfu Zou
Fast charging of lithium-ion batteries remains a critical bottleneck for widespread adoption of electric vehicles and stationary energy storage systems, as improperly designed fast…
Robust Model Predictive Control of Fast Lithium-ion Battery Pretreatment for Safe Recycling
Meng Yuan, Adam Burman, Changfu Zou
The proper disposal and repurposing of end-of-life electric vehicle batteries are critical for maximizing their environmental benefits. This study introduces a robust model predict…