3 citations · 3 across the 3 of their papers we have counts for
3 papers
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
Optimal DC-link Voltage from Weight and Loss Perspective for eVTOLs
Abhijit Kulkarni, Torbjörn Thiringer, Remus Teodorescu
Electric vertical takeoff and landing (eVTOL) aircraft are emerging as a modern transportation solution aimed at reducing urban traffic congestion and improving the carbon footprin…
eess.SY2024★ 3 cited
Computationally Efficient Machine-Learning-Based Online Battery State of Health Estimation
Abhijit Kulkarni, Remus Teodorescu
A key function of battery management systems (BMS) in e-mobility applications is estimating the battery state of health (SoH) with high accuracy. This is typically achieved in comm…