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This software has been developed at the Institute of Electrical Engineering, Karlsruhe Institute of Technology, to create realistic driving profiles for battery testing within a research context. The generated output includes a comprehensive speed profile and slope profile, both corresponding to a predefined trip, starting at a specified starting time. To generate a current or power profile for battery testing, an Electric Vehicle (EV) simulator is required. Please note that such a simulator is not included in this package. For an in-depth understanding of the generator's functionality, we refer to our comprehensive paper on the subject: A. Kalk, O. Birkholz, J. Zhang, C. Kupper, and M. Hiller, “Generating realistic data for developing artificial neural network based soc estimators for electric vehicles,” in 2023 IEEE Transportation Electrification Conference (ITEC), 2023, pp. 1–7.
2.1, 2.2
2.1, 2.2
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
| views | 66 | |
| downloads | 12 |

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