Cem Ünlübayir

An adaptive PMP-based model predictive energy management strategy for fuel cell hybrid railway vehicles

Kay Hameyer, Lars Löwenstein, Andreas Thul, 2021 .

A scalable, causal, adaptive rule-based energy management for fuel cell hybrid railway vehicles learned from results of dynamic programming

Kay Hameyer, Jianxiang Li, Lars Löwenstein, 2020 .

Offline optimal energy management strategies considering high dynamics in batteries and constraints on fuel cell system power rate: From analytical derivation to validation on test bench

Kay Hameyer, Lars Löwenstein, Andreas Thul, 2021 .

Cloud-based health-conscious energy management of hybrid battery systems in electric vehicles with deep reinforcement learning

Xuezhe Wei, Minggao Ouyang, Haifeng Dai, 2021, Applied Energy.

Validation of robustness and fuel efficiency of a universal model-based energy management strategy for fuel cell hybrid trains: From analytical derivation via simulation to measurement on test bench

Kay Hameyer, Stefan Pischinger, Lars Löwenstein, 2021 .

A comparison of various universally applicable power distribution strategies for fuel cell hybrid trains utilizing component modeling at different levels of detail: From simulation to test bench measurement

Kay Hameyer, Stefan Pischinger, Lars Löwenstein, 2021 .

Deep reinforcement learning-based energy management of hybrid battery systems in electric vehicles

Xuezhe Wei, Zhenpo Wang, Haifeng Dai, 2021, Journal of Energy Storage.