Comparison of Various Hybrid Electric Powertrains for Non-Road Mobile Machinery Using Real-Time Multibody Simulation
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 ca...
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| Format: | Article |
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IEEE
2022-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/9913959/ |
| _version_ | 1811197438890868736 |
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| author | Giota Goswami Anna Tupitsina Suraj Jaiswal Charles Nutakor Tuomo Lindh Jussi Sopanen |
| author_facet | Giota Goswami Anna Tupitsina Suraj Jaiswal Charles Nutakor Tuomo Lindh Jussi Sopanen |
| author_sort | Giota Goswami |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-12T01:13:40Z |
| format | Article |
| id | doaj.art-cdb684e75f76409f8655cac35eb47a61 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-04-12T01:13:40Z |
| publishDate | 2022-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-cdb684e75f76409f8655cac35eb47a612022-12-22T03:54:02ZengIEEEIEEE Access2169-35362022-01-011010763110764810.1109/ACCESS.2022.32130349913959Comparison of Various Hybrid Electric Powertrains for Non-Road Mobile Machinery Using Real-Time Multibody SimulationGiota Goswami0https://orcid.org/0000-0002-3786-8140Anna Tupitsina1Suraj Jaiswal2https://orcid.org/0000-0001-5077-9823Charles Nutakor3https://orcid.org/0000-0002-5884-1529Tuomo Lindh4Jussi Sopanen5https://orcid.org/0000-0003-4371-1606Department of Mechanical Engineering, Lappeenranta-Lahti University of Technology—LUT, Lappeenranta, FinlandDepartment of Electrical Engineering, Lappeenranta-Lahti University of Technology—LUT, Lappeenranta, FinlandDepartment of Mechanical Engineering, Lappeenranta-Lahti University of Technology—LUT, Lappeenranta, FinlandDepartment of Mechanical Engineering, Lappeenranta-Lahti University of Technology—LUT, Lappeenranta, FinlandDepartment of Electrical Engineering, Lappeenranta-Lahti University of Technology—LUT, Lappeenranta, FinlandDepartment of Mechanical Engineering, Lappeenranta-Lahti University of Technology—LUT, Lappeenranta, FinlandElectrification 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.https://ieeexplore.ieee.org/document/9913959/Hybrid electric vehiclepower transmissiontractor modelmultibody dynamicsdriveline simulation |
| spellingShingle | Giota Goswami Anna Tupitsina Suraj Jaiswal Charles Nutakor Tuomo Lindh Jussi Sopanen Comparison of Various Hybrid Electric Powertrains for Non-Road Mobile Machinery Using Real-Time Multibody Simulation IEEE Access Hybrid electric vehicle power transmission tractor model multibody dynamics driveline simulation |
| title | Comparison of Various Hybrid Electric Powertrains for Non-Road Mobile Machinery Using Real-Time Multibody Simulation |
| title_full | Comparison of Various Hybrid Electric Powertrains for Non-Road Mobile Machinery Using Real-Time Multibody Simulation |
| title_fullStr | Comparison of Various Hybrid Electric Powertrains for Non-Road Mobile Machinery Using Real-Time Multibody Simulation |
| title_full_unstemmed | Comparison of Various Hybrid Electric Powertrains for Non-Road Mobile Machinery Using Real-Time Multibody Simulation |
| title_short | Comparison of Various Hybrid Electric Powertrains for Non-Road Mobile Machinery Using Real-Time Multibody Simulation |
| title_sort | comparison of various hybrid electric powertrains for non road mobile machinery using real time multibody simulation |
| topic | Hybrid electric vehicle power transmission tractor model multibody dynamics driveline simulation |
| url | https://ieeexplore.ieee.org/document/9913959/ |
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