11 citations · 14 across the 7 of their papers we have counts for
8 papers
Physics-Aware Distillation of a Grid Foundation Model for Real-Time Edge Inference
Vlad Alexandru Sănduleac, Shahariya Rasheed Rayamarakkarveettil Puthanpurayil, Noman Khan +1
Grid foundation models (GridFMs) are graph transformers pretrained on a masked power-flow objective, and evaluate power flow orders of magnitude faster than an iterative solver. Th…
Acceleration of Modelling with Physics Informed Learning: Frameworks and Perspectives for Real-Time Control of Electrochemical Devices
Remus Teodorescu, Yusheng Zheng, Yi Zhuang +2
Electrochemical devices (batteries, fuel cells, and electrolyzers) are in full development, driven by the green energy transition. Their real-time control requires ms predictions i…
Physics-informed neural network surrogate modeling of single particle model for lithium-ion batteries
Yi Zhuang, Yusheng Zheng, Yunhong Che +1
Physics-based models play a key role in battery management, yet face challenges in real-time applications due to the high computational cost of solving coupled algebraic-partial di…
Data-Selective Online Battery Identification Using Extended Time Regular Expressions
Nicolai A. Weinreich, Marco Muñiz, Marius Mikučionis +2
In this paper, we propose a data-efficient online battery identification method which targets highly informative battery cell data segments based on the driving pattern of the vehi…
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…
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…
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…
Novel Low-Complexity Model Development for Li-ion Cells Using Online Impedance Measurement
Abhijit Kulkarni, Ahsan Nadeem, Roberta Di Fonso +2
Modeling of Li-ion cells is used in battery management systems (BMS) to determine key states such as state-of-charge (SoC), state-of-health (SoH), etc. Accurate models are also use…