Optimierung der Regelung zwischen Brennstoffzelle und Batterie in Bezug auf Komponentenalterung (Optimization of Fuel Cell and Battery Control in Relation to Component Aging of Fuel Cell Power Train). - Frieder Herb; Achim Frank; Christof Nitsche; Andreas Jossen (Autom., 2009)

Using Balanced Random Forests on Load Spectrum Data for Classifying Component Failures of a Hybrid Electric Vehicle Fleet. - Philipp Bergmeir; Christof Nitsche; Jurgen Nonnast; Michael Bargende; Peter Antony; Uwe Keller (ICMLA, 2014)

Classifying component failures of a hybrid electric vehicle fleet based on load spectrum data - Balanced random forest approaches employing uni- and multivariate decision trees. - Philipp Bergmeir; Christof Nitsche; Jurgen Nonnast; Michael Bargende (Neural Comput. Appl., 2016)

Uncertainty-Guided Active Reinforcement Learning with Bayesian Neural Networks. - Xinyang Wu 002; Mohamed El-Shamouty; Christof Nitsche; Marco F. Huber (ICRA, 2023)

Towards Optimal Energy Management Strategy for Hybrid Electric Vehicle with Reinforcement Learning. - Xinyang Wu 002; Elisabeth Wedernikow; Christof Nitsche; Marco F. Huber (IV, 2023)

Comparison of Large Language Models for Deployment Requirements. - Alper Yaman; Jannik Schwab; Christof Nitsche; Abhirup Sinha; Marco F. Huber (CoRR, 2025)