Search Results for author: Matthias Preindl

Found 3 papers, 0 papers with code

Vehicle-to-Grid Fleet Service Provision considering Nonlinear Battery Behaviors

no code implementations28 Jan 2023 Joshua Jaworski, Ningkun Zheng, Matthias Preindl, Bolun Xu

We incorporate nonlinear battery models and price uncertainty into the V2G management design to provide a realistic estimation of cost savings from different V2G options.

Management

High-Fidelity State-of-Charge Estimation of Li-Ion Batteries Using Machine Learning

no code implementations30 Aug 2019 Weizhong Wang, Nicholas W. Brady, Chenyao Liao, Youssef A. Fahmy, Ephrem Chemali, Alan C. West, Matthias Preindl

This paper proposes a way to augment the existing machine learning algorithm applied to state-of-charge estimation by introducing a form of pulse injection to the running battery cells.

BIG-bench Machine Learning

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