Optimal Powertrain Design through a Virtual Development Process
Autor: | Michael Bargende, Felix Kercher, Ferit Küçükay, Hendrik Piechottka |
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Rok vydání: | 2018 |
Předmět: |
powertrain architecture
Powertrain Computer science Process (engineering) 020209 energy powertrain topologies 020302 automobile design & engineering Topology (electrical circuits) 02 engineering and technology Automotive engineering Electrification hybrid powertrain 0203 mechanical engineering visual_art Range (aeronautics) Automotive Engineering Electronic component powertrain design 0202 electrical engineering electronic engineering information engineering visual_art.visual_art_medium Electric power plug-in hybrid powertrain MATLAB computer computer.programming_language |
Zdroj: | World Electric Vehicle Journal Volume 9 Issue 1 |
ISSN: | 2032-6653 |
DOI: | 10.3390/wevj9010011 |
Popis: | The ever more stringent global CO2 and pollutant emission regulations imply that the optimization of conventional powertrains can only provide partial reductions in fleet emissions. Vehicle manufacturers are therefore responding by increasing the electrification of their powertrain portfolios. This in turn, results in higher levels of electrification of the individual powertrain units. The increase in electric power leads to a comprehensive range of possible technologies—from 48 V mild hybrids to pure electric concepts. The powertrain topology and the configuration of the electrical components of a hybrid powertrain play a decisive role in determining the overall efficiency when considering the individual market requirements. Different hybrid functions as well as performance and customer requirements are determined from statutory cycles and in customer operation. A virtual development chain that is based on MATLAB/Simulink then represents the steps for the identification, configuration, and evaluation of new electrified powertrains. The tool chain presented supports powertrain development through automated conceptualization, design, and evaluation of powertrain systems and their components. The outcome of the entire tool chain is a robust concept decision for future powertrains. Using this methodical and reproducible approach, future electrified powertrain concepts are identified. |
Databáze: | OpenAIRE |
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