activity
20242026
collaborators

6 papers

eess.SY2026

Modeling and Estimation of Solid Electrolyte Interphase during Formation in Battery Manufacturing

Zhiwen Wan, Hamidreza Movahedi, Wenxue Liu +4

The solid electrolyte interphase (SEI) - a critical passivation layer that governs the longevity, safety, and efficiency of lithium-ion batteries - is created during the last step…

eess.SY2026

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…

eess.SY2026

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…

eess.SY2026

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…

eess.SY2025

Merging Physics-Based Synthetic Data and Machine Learning for Thermal Monitoring of Lithium-ion Batteries: The Role of Data Fidelity

Yusheng Zheng, Wenxue Liu, Yunhong Che +6

Since the internal temperature is less accessible than surface temperature, there is an urgent need to develop accurate and real-time estimation algorithms for better thermal manag…

eess.SY2024

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…