Cover Image

Adaptive Safe Reinforcement Learning-Enabled Optimization of Battery Fast-Charging Protocols

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Chowdhury, Myisha A., Al-Wahaibi, Saif S. S., Lu, Qiugang
Format:	Preprint
Published:	2024
Subjects:	Systems and Control
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Equivalent-Circuit Thermal Model for Batteries with One-Shot Parameter Identification
by: Chowdhury, Myisha A., et al.
Published: (2025)

Lithium-ion Battery Capacity Prediction via Conditional Recurrent Generative Adversarial Network-based Time-Series Regeneration
by: Chowdhury, Myisha A., et al.
Published: (2025)

Adaptive safe reinforcement learning‐enabled optimization of battery fast‐charging protocols
by: Myisha A. Chowdhury, et al.
Published: (2024)

Transformer-based Capacity Prediction for Lithium-ion Batteries with Data Augmentation
by: Modekwe, Gift, et al.
Published: (2024)

Safe Learning-Based Optimization of Model Predictive Control: Application to Battery Fast-Charging
by: Hirt, Sebastian, et al.
Published: (2024)

Design and Analysis of a Grid-connected DC Fast Charging Station for Dhaka-Chittagong Highway
by: Ahmed, Alif, et al.
Published: (2025)

From Prompt to Protocol: Fast Charging Batteries with Large Language Models
by: Lei, Ge, et al.
Published: (2026)

Learning Model Predictive Control Parameters via Bayesian Optimization for Battery Fast Charging
by: Hirt, Sebastian, et al.
Published: (2024)

A Physics-Informed Reinforcement Learning Approach for Degradation-Aware Long-Term Charging Optimization in Batteries
by: Padisala, Shanthan Kumar, et al.
Published: (2025)

Integrated Optimal Fast Charging and Active Thermal Management of Lithium-Ion Batteries in Extreme Ambient Temperatures
by: Lu, Zehui, et al.
Published: (2024)

Anytime Safe Reinforcement Learning
by: Mestres, Pol, et al.
Published: (2025)

Reconfigurable Battery Systems for Enhanced Fast Charging in Electric Vehicles
by: Olivares, Jonathan, et al.
Published: (2025)

Data-Enabled Policy Optimization for Direct Adaptive Learning of the LQR
by: Zhao, Feiran, et al.
Published: (2024)

Bang-Ride Optimal Control: Monotonicity, External Positivity, and Fast Battery Charging
by: Shi, Shengling, et al.
Published: (2025)

Deep Reinforcement Learning-Based Optimization of Second-Life Battery Utilization in Electric Vehicles Charging Stations
by: Haghighi, Rouzbeh, et al.
Published: (2025)

Electrifying Heavy-Duty Trucks: Battery-Swapping vs Fast Charging
by: Wang, Ruiting, et al.
Published: (2025)

MPPI-DBaS: Safe Trajectory Optimization with Adaptive Exploration
by: Wang, Fanxin, et al.
Published: (2025)

Cylindrical Battery Fault Detection under Extreme Fast Charging: A Physics-based Learning Approach
by: Firoozi, Roya, et al.
Published: (2021)

Robust Model Predictive Control of Fast Lithium-ion Battery Pretreatment for Safe Recycling
by: Yuan, Meng, et al.
Published: (2025)

Make Safe Decisions in Power System: Safe Reinforcement Learning Based Pre-decision Making for Voltage Stability Emergency Control
by: Bi, Congbo, et al.
Published: (2024)

Coordinated Battery Electric Vehicle Charging Scheduling across Multiple Charging Stations
by: Mehrnia, Saman, et al.
Published: (2025)

Advancements in Electric Vehicle Charging Optimization: A Survey of Reinforcement Learning Approaches
by: Shokati, Mehrshad, et al.
Published: (2024)

Accounting for the Effects of Probabilistic Uncertainty During Fast Charging of Lithium-ion Batteries
by: Kim, Minsu, et al.
Published: (2024)

Safe Reinforcement Learning Using Robust MPC
by: Zanon, Mario, et al.
Published: (2019)

Offline Guarded Safe Reinforcement Learning for Medical Treatment Optimization Strategies
by: Yan, Runze, et al.
Published: (2025)

BAP-SRL: Bayesian Adaptive Priority Safe Reinforcement Learning for Vehicle Motion Planning at Mixed Traffic Intersections
by: Lian, Yuansheng, et al.
Published: (2026)

Design and Optimization of EV Charging Infrastructure with Battery in Commercial Buildings
by: Nguyen, Quan, et al.
Published: (2025)

Safe Reinforcement Learning-Based Eco-Driving Control for Mixed Traffic Flows With Disturbances
by: Lu, Ke, et al.
Published: (2024)

Safe Reinforcement Learning-based Automatic Generation Control
by: Mohamed, Amr S., et al.
Published: (2025)

Adaptive Extended Kalman Filtering for Battery State of Charge Estimation on STM32
by: Barros, António, et al.
Published: (2025)

Optimizing Operation Recipes with Reinforcement Learning for Safe and Interpretable Control of Chemical Processes
by: Brandner, Dean, et al.
Published: (2025)

Digital Twin of Autonomous Surface Vessels for Safe Maritime Navigation Enabled through Predictive Modeling and Reinforcement Learning
by: Menges, Daniel, et al.
Published: (2024)

SoNIC: Safe Social Navigation with Adaptive Conformal Inference and Constrained Reinforcement Learning
by: Yao, Jianpeng, et al.
Published: (2024)

Resilient Grid Hardening against Multiple Hazards: An Adaptive Two-Stage Stochastic Optimization Approach
by: Chowdhury, Sifat, et al.
Published: (2026)

Wireless MAC Protocol Synthesis and Optimization with Multi-Agent Distributed Reinforcement Learning
by: Keshtiarast, Navid, et al.
Published: (2024)

Safe Reinforcement Learning for Power System Control: A Review
by: Yu, Peipei, et al.
Published: (2024)

Satellite Safe Margin: Fast solutions for Conjunction Analysis
by: Ferreira, Ricardo N., et al.
Published: (2024)

Coordinated Fast Frequency Regulation in Dynamic Virtual Power Plants via Disturbance Estimation
by: Ahmad, Saif, et al.
Published: (2025)

Optimizing Reinforcement Learning Training over Digital Twin Enabled Multi-fidelity Networks
by: Yu, Hanzhi, et al.
Published: (2026)

A Review of Safe Reinforcement Learning Methods for Modern Power Systems
by: Su, Tong, et al.
Published: (2024)