70 citations · 206 across the 16 of their papers we have counts for
16 papers
Cross-modal topology decodes battery faults from sparse voltage snapshots
Jinwen Li, Yunhong Che, Simona Onori +2
Battery safety remains the primary bottleneck for mass electric vehicle (EV) adoption, yet field monitoring is hamstrung by a fundamental asymmetry: complex electrochemical faults…
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)…
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…
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…
Bias-Compensated State of Charge and State of Health Joint Estimation for Lithium Iron Phosphate Batteries
Baozhao Yi, Xinhao Du, Jiawei Zhang +5
Accurate estimation of the state of charge (SOC) and state of health (SOH) is crucial for the safe and reliable operation of batteries. Voltage measurement bias highly affects stat…
Challenges and Opportunities for Second-life Batteries: A Review of Key Technologies and Economy
Xubo Gu, Hanyu Bai, Xiaofan Cui +5
Due to the increasing volume of Electric Vehicles in automotive markets and the limited lifetime of onboard lithium-ion batteries (LIBs), the large-scale retirement of LIBs is immi…
No driver, No Regulation? --Online Legal Driving Behavior Monitoring for Self-driving Vehicles
Wenhao Yu, Chengxiang Zhao, Jiaxin Liu +7
Defined traffic laws must be respected by all vehicles. However, it is essential to know which behaviors violate the current laws, especially when a responsibility issue is involve…
Data-Enabled Predictive Control for Fast Charging of Lithium-Ion Batteries with Constraint Handling
Kaixiang Zhang, Kaian Chen, Xinfan Lin +5
Fast charging of lithium-ion batteries has gained extensive research interests, but most of existing methods are either based on simple rule-based charging profiles or require expl…
Feature Analyses and Modelling of Lithium-ion Batteries Manufacturing based on Random Forest Classification
Kailong Liu, Xiaosong Hu, Huiyu Zhou +3
Lithium-ion battery manufacturing is a highly complicated process with strongly coupled feature interdependencies, a feasible solution that can analyse feature variables within man…
Modified Gaussian Process Regression Models for Cyclic Capacity Prediction of Lithium-ion Batteries
Kailong Liu, Xiaosong Hu, Zhongbao Wei +2
This paper presents the development of machine learning-enabled data-driven models for effective capacity predictions for lithium-ion batteries under different cyclic conditions. T…
Human-like Energy Management Based on Deep Reinforcement Learning and Historical Driving Experiences
Hao Chen, Xiaolin Tang, Guo Hu +1
Development of hybrid electric vehicles depends on an advanced and efficient energy management strategy (EMS). With online and real-time requirements in mind, this article presents…
The Sequential Algorithm for Combined State of Charge and State of Health Estimation of Lithium Ion Battery based on Active Current Injection
Ziyou Song, Jun Hou, Xuefeng Li +4
When State of Charge, State of Health, and parameters of the Lithium-ion battery are estimated simultaneously, the estimation accuracy is hard to be ensured due to uncertainties in…
Dimensioning and Power Management of Hybrid Energy Storage Systems for Electric Vehicles with Multiple Optimization Criteria
Huilong Yu, Francesco Castelli-Dezza, Federico Cheli +3
Hybrid energy storage systems that combine lithium-ion batteries and supercapacitors are considered as an attractive solution to overcome the drawbacks of battery-only energy stora…