Kraft, Markus ; Rinderknecht, Stephan (2023)
A Method for the Quantification of Powertrain Electrification Impacts on Driving Dynamics.
In: World Electric Vehicle Journal, 2018, 9 (2)
doi: 10.26083/tuprints-00016424
Article, Secondary publication, Publisher's Version
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| Item Type: | Article |
|---|---|
| Type of entry: | Secondary publication |
| Title: | A Method for the Quantification of Powertrain Electrification Impacts on Driving Dynamics |
| Language: | English |
| Date: | 21 November 2023 |
| Place of Publication: | Darmstadt |
| Year of primary publication: | 2018 |
| Place of primary publication: | Basel |
| Publisher: | MDPI |
| Journal or Publication Title: | World Electric Vehicle Journal |
| Volume of the journal: | 9 |
| Issue Number: | 2 |
| Collation: | 10 Seiten |
| DOI: | 10.26083/tuprints-00016424 |
| Corresponding Links: | |
| Origin: | Secondary publication DeepGreen |
| Abstract: | This paper discusses a novel simulation-based study quantifying the impacts of driving dynamics in the electrification of conventional powertrains into hybrid powertrains. Towards this aim, the Fourier amplitude sensitivity test (FAST) is used to facilitate sensitivity analysis. Design of experiments and artificial neural network methods are employed to approximate the solution space to ensure a computationally efficient application of the FAST. To demonstrate this method, a simulation-based study was conducted to evaluate the electrification impacts in a challenging driving dynamic investigation scenario. |
| Uncontrolled Keywords: | case-study, parallel HEV, powertrain, simulation, vehicle performance |
| Status: | Publisher's Version |
| URN: | urn:nbn:de:tuda-tuprints-164243 |
| Additional Information: | This article belongs to the Special Issue Selected Papers from The 30th International Electric Vehicles Symposium and Exhibition (Stuttgart, Germany) |
| Classification DDC: | 600 Technology, medicine, applied sciences > 620 Engineering and machine engineering |
| Divisions: | 16 Department of Mechanical Engineering > Institute for Mechatronic Systems in Mechanical Engineering (IMS) |
| Date Deposited: | 21 Nov 2023 13:38 |
| Last Modified: | 23 Nov 2023 13:28 |
| SWORD Depositor: | Deep Green |
| URI: | https://tuprints.ulb.tu-darmstadt.de/id/eprint/16424 |
| PPN: | 513400508 |
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