5 papers
Driving Condition-Aware Multi-Agent Integrated Power and Thermal Management for Hybrid Electric Vehicles
Hanghang Cui, Arash Khalatbarisoltani, Jie Han +3
Effective co-optimization of energy management strategy (EMS) and thermal management (TM) is crucial for optimizing fuel efficiency in hybrid electric vehicles (HEVs). Driving cond…
Leveraging Quantum Annealing for Large-Scale Household Energy Scheduling with Hydrogen Storage
Arash Khalatbarisoltani, Amin Mahmoudi, Jie Han +6
Hydrogen integration into microgrids facilitates the absorption of intermittencies from renewable energy resources. However, significant challenges remain due to complex optimizati…
Temperature-Aware Scheduling of LLM Inference in Large-Scale Geo-Distributed Edge Data Centers with Distributed Optimization
Arash Khalatbarisoltani, Amin Mahmoudi, Jie Han +6
The environmental impact of Large Language Models (LLMs) on data centers hosting these models is becoming a significant concern. While many efforts have focused on reducing the sub…
Traffic-aware Hierarchical Integrated Thermal and Energy Management for Connected HEVs
Jie Han, Arash Khalatbarisoltani, Hai L. Vu +2
The energy and thermal management systems of hybrid electric vehicles (HEVs) are inherently interdependent. With the ongoing deployment of intelligent transportation systems (ITSs)…
Comparative Analysis of Control Observer-Based Methods for State Estimation of Lithium-Ion Batteries in Practical Scenarios
Muhammad Saeed, Arash Khalatbarisoltani, Zhongwei Deng +4
The reliability, lower computational complexity, and ease of implementation of control observers make them one of the most promising methods for the state estimation of Li-ion batt…