238 citations
- KU LeuvenBE35 papers
- Hasselt UniversityBE11 papers
- Centre National de la Recherche ScientifiqueFR4 papers
- European Space Research and Technology CentreNL4 papers
- Leiden UniversityNL4 papers
- National Institute of Astrophysics, Optics and ElectronicsMX4 papers
- Space Research Organisation NetherlandsNL4 papers
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- Vrije Universiteit BrusselBE4 papers
- AlbaNovaSE3 papers
- Leiden Observatory3 papers
- Max Planck Institute for Radio AstronomyDE3 papers
66 papers
Rapid and robust parameter estimation for electrochemical battery models via BOLT: A batch-optimized local-to-global technique
Feng Guo, Luis D. Couto, Keivan Haghverdi +2
Accurate and efficient parameter estimation is essential for applying electrochemical battery models in simulation, state estimation, control, and repeated model updating. However,…
Physics-guided residual Kalman learning for state-of-charge estimation of lithium iron phosphate batteries
Feng Guo, Luis D. Couto, Khiem Trad +3
Accurate state of charge (SOC) estimation of lithium iron phosphate (LFP) batteries remains challenging because of their flat open-circuit-voltage (OCV)-SOC characteristics, temper…
Efficiency and Optimality in Electrochemical Battery Model Parameter Identification: A Comparative Study of Estimation Techniques
Feng Guo, Luis D. Couto, Guillaume Thenaisie
Parameter identification for electrochemical battery models has always been challenging due to the multitude of parameters involved, most of which cannot be directly measured. This…
Enabling Granular Subgroup Level Model Evaluations by Generating Synthetic Medical Time Series
Mahmoud Ibrahim, Bart Elen, Chang Sun +2
We present a novel framework for leveraging synthetic ICU time-series data not only to train but also to rigorously and trustworthily evaluate predictive models, both at the popula…
Density-based topology optimization strategy for optimal design of uniform flow manifolds
Sanjay Vermani, Nitish Anand
Uniform flow distribution across parallel channels directly impacts the performance and efficiency of many fluid and energy systems. However, designing efficient flow manifolds tha…
A one-dimensional numerical model for system performance prediction of loop heat pipes and its validation
Xu Huang, Geert Buckinx, Maria Rosaria Vetrano +1
Developing high power density electronics requires effective and highly reliable cooling techniques with low thermal resistance and high heat removal capacity. Loop heat pipes (LHP…