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Comparison of Various Hybrid Electric Powertrains for Non-Road Mobile Machinery Using Real-Time Multibody Simulation | IEEE Journals & Magazine | IEEE Xplore

Comparison of Various Hybrid Electric Powertrains for Non-Road Mobile Machinery Using Real-Time Multibody Simulation


Comparison of different system-level hybrid electric powertrain models within the framework of detailed real-time multibody simulation of non-road mobile machinery.

Abstract:

Electrification of non-road mobile machinery holds immense potential for reducing the high emissions and fuel consumption of such industrial machinery. Detailed real-time...Show More

Abstract:

Electrification of non-road mobile machinery holds immense potential for reducing the high emissions and fuel consumption of such industrial machinery. Detailed real-time physics-based simulation models capable of comparing energy efficiencies of hybrid powertrains in realistic working conditions can aid the development of efficient mobile machinery. In this study, four system-level hybrid electric powertrain models have been developed and coupled with a detailed multibody dynamics-based tractor model in a co-simulation environment. The four models, differentiated by their topology and transmission design, are simulated in a virtual environment under the dynamic load conditions of a ploughing work cycle of the Deutsche Landwirtschafts-Gesellschaft powermix. The simulation results show that improvements of 9.7% and 9.2% in total energy consumption can be achieved by the two studied power-split configurations in the simulated work cycle compared to an automated manual transmission-based series powertrain. The double planetary gear-based power-split model achieved the highest energy recovery and lowest energy loss compared to the other models. The developed models are real-time capable, allowing a human operator to simulate customizable work cycles.
Comparison of different system-level hybrid electric powertrain models within the framework of detailed real-time multibody simulation of non-road mobile machinery.
Published in: IEEE Access ( Volume: 10)
Page(s): 107631 - 107648
Date of Publication: 10 October 2022
Electronic ISSN: 2169-3536

Funding Agency:


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