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Titlebook: 16. Internationales Stuttgarter Symposium; Automobil- und Motor Michael Bargende,Hans-Christian Reuss,Jochen Wiede Conference proceedings 2

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51#
發(fā)表于 2025-3-30 10:01:59 | 只看該作者
52#
發(fā)表于 2025-3-30 15:42:32 | 只看該作者
Fields with Orders or Valuations, spectra. The tool was designed with Matlab/Simulink ? and bases on the tool “Common Powertrain Control“ (CPC module) published in [1]..Compared to the functionality in [1] the tool was extended massively. It now supports seven different hybrid topologies, i.e. four parallel and three axle-split con
53#
發(fā)表于 2025-3-30 18:30:05 | 只看該作者
54#
發(fā)表于 2025-3-30 22:37:00 | 只看該作者
https://doi.org/10.1007/978-0-387-71568-1cy and reduced emissions. So far, research has primarily been focused on experimental investigations on the test bench, whereas fast, predictive burn rate models for use in process calculation have not been available. Such a phenomenological model is henceforth presented. It describes the current bu
55#
發(fā)表于 2025-3-31 03:26:04 | 只看該作者
Fields with Orders or Valuations,re reinforced plastic (CFRP) is highly increasing. Based on rising requirements concerning emission levels of vehicles, CFRP is also becoming the focus of attention in the automotive industry. Higher material costs and the need of additional processing technologies are raising the costs of the whole
56#
發(fā)表于 2025-3-31 07:07:16 | 只看該作者
57#
發(fā)表于 2025-3-31 09:39:36 | 只看該作者
Fields with Orders or Valuations,mosetting resin is often used as matrix even though using thermoplastics brings some advantages like a higher impact resistance to comparable thermoset composites, weldability and recyclability. In addition, it is possible to reshape or to weld the thermoplastic composites. To show some of the possi
58#
發(fā)表于 2025-3-31 14:21:42 | 只看該作者
59#
發(fā)表于 2025-3-31 21:11:32 | 只看該作者
16. Internationales Stuttgarter Symposium978-3-658-13255-2Series ISSN 2198-7432 Series E-ISSN 2198-7440
60#
發(fā)表于 2025-4-1 00:17:17 | 只看該作者
https://doi.org/10.1007/978-0-387-71568-1s paper the challenge of large grid sizes due to growing battery capacities and complex powertrain concepts and the need for fine discretization is met by an iterative approach which has the chance to reduce memory usage and computing time by reducing the SOC range with each iteration.
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