Stark, M.; Preuss, A.-Ch.; Pryymak, K.; Azetsu, A.; Mihara, Y.
Fuel Oil Flow Measurement
2022

Stark, M.; Preuss, A.-Ch.; Pryymak, K.; Azetsu, A.; Mihara, Y.
Fuel Oil Flow Measurement FVV Nr. 1396 Tagungsbandbericht
2022

Fellner, F.; Fitz, P.; Härtl, M.; Jaensch, M.
Load-Exchange Optimization for a Passive Pre-Chamber Ignition System
SAE Technical Papers
2024

Fitz, P.; Fellner, F.; Rößlhuemer, R.; Härtl, M.; Jaensch, M.
Dual Injection Concept and Lean Burn Characteristics with Methanol on a SI-Engine
SAE Technical Papers
2024

Kraus, C.; Fitz, P.; Härtl, M.; Jaensch, M.
Efficiency Increase for Spark-Ignited Oxygenated Fuels through Adaptation of Cylinder Head and Piston
Internationaler Motorenkongress 2023
2024

Huang, R.; He, H.; Su, Q.; Härtl, M.; Jaensch, M.
Type and task crossing energy management for fuel cell hybrid electric vehicles with longevity consideration: A deep transfer reinforcement learning framework
Applied Energy
2025

Armbruster, F.; Gelner, A.; Zepf, A.; Prager, M.; Härtl, M.; Jaensch, M.
Investigations on particle emissions of large-bore engines powered by natural gas and hydrogen
Environmental Science Advances
2024

Mühlthaler, M.; Härtl, M.; Jaensch, M.
Potential Analysis of Defossilized Operation of a Heavy-Duty Dual-Fuel Engine Utilizing Dimethyl Carbonate/Methyl Formate as Primary and Poly Oxymethylene Dimethyl Ether as Pilot Fuel
SAE International Journal of Engines
2024

Huang, R.; He, H.; Su, Q.; Härtl, M.; Jaensch, M.
Enabling cross-type full-knowledge transferable energy management for hybrid electric vehicles via deep transfer reinforcement learning
Energy
2024

Jaensch, M.
Development Trends of Electric Drivetrains in the Automotive Industry
NATO Science and Technology Organization, 22.05.2024
2024