Markus Eisenbarth

Chief Engineer

RWTH Aachen University

Germany

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Markus Eisenbarth is a Chief Engineer at RWTH Aachen University in Germany. His research encompasses advanced topics in model predictive control, intelligent charging strategies for electric vehicles, and applications of deep reinforcement learning in urban scenarios. His recent articles highlight innovative approaches to vehicle-to-everything connected powertrains and real-time temperature estimation in permanent magnet synchronous motors.

Articles (5)

Year:

2025

Year:

2025

Year:

2025

Year:

2021

Year:

2021

Collaborators (4)

Jakob Andert

Professor

RWTH Aachen University

GERMANY

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Christoph Sommer

Professor

TU Dresden

GERMANY

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Dominik S. Buse

University of Paderborn

GERMANY

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Marius Wegener

RWTH Aachen University

GERMANY

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Markus Eisenbarth

Research Interests

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Articles (5)

Model Predictive Control for Charging Management Considering Mobile Charging Robots

Estimating the real-time temperature of a 48V permanent magnet synchronous motor using a thermal neural network

An Electric Vehicle Charging Simulation to Investigate the Potential of Intelligent Charging Strategies

Toward Smart Vehicle-to-Everything-Connected Powertrains: Driving Real Component Test Benches in a Fully Interactive Virtual Smart City

Automated eco-driving in urban scenarios using deep reinforcement learning

Collaborators (4)

Jakob Andert

Christoph Sommer

Dominik S. Buse

Marius Wegener

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