The commercial vehicle sector is undergoing a radical change. It can be anticipated that emission-free drives will eventually replace the conventional diesel drive as the dominating technology in order - among other things - to reduce carbon dioxide emissions in the transport sector. Current studies forecast that battery electric trucks will become a key player in this change. Their market success will significantly depend upon a cost-efficient and long-lasting drivetrain design. This confronts truck manufacturers with a complex challenge due to the variety of commercial vehicle applications with widely differing requirements. In order to meet this challenge, this thesis presents a method for the application-specific design of battery electric truck drivetrains that considers both life cycle costs and component aging. By integrating a spectrum of different possible component types with varying performance ratings into a fixed vehicle architecture, this MATLAB/Simulink simulation approach creates a variety of different battery electric truck concept alternatives. Using a modular entire vehicle simulation model, the energy balance and energy flows of the created concept alternatives as well as their interactions with component degradation effects are analyzed for dynamic application-specific operation profiles. Subsequently, the concept alternatives are evaluated considering both life-cycle costs and technical criteria such as electric driving range, powertrain performance, and vehicle weight. Thereafter, a two-staged stochastic optimization is applied to improve the concept alternatives by modifying the choice of component types and ratings. The simulation approach is validated by comparing simulation results with a real-life example. With this approach, it is demonstrated that the consideration of component degradation mechanisms has a significant effect on the optimal battery electric truck drivetrain for a pre-defined truck application. By neglecting component aging, both the nominal energy content of the traction battery and the power ratings of the traction battery temperature control components can be decreased by 16 % in order to still meet the application-specific requirements. This leads to a total cost decrease of 11.7 % for the optimal concept solution. In addition, it is shown that considering and neglecting individual life cycle cost types has a substantial effect on the optimal concept alternative. For this specific truck application, from the customer’s perspective, the optimal concept solution is equipped with two electrically driven axles to minimize operating costs. In contrast, limiting the number of electrically driven axles to one is the optimal solution from the manufacturer’s perspective. The latter concept is additionally characterized by a traction battery with about 30 % increased energy content as well as a drive cooling system and wiring that are both dimensioned as small as acceptable.


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    Titel :

    Konzeption und Auslegung batterieelektrischer Nutzfahrzeugantriebe


    Weitere Titelangaben:

    A method for the design of battery electric truck drivetrains


    Beteiligte:
    Schuh, Frederic Helmut Alois (Autor:in) / Eckstein, Lutz (Akademische:r Betreuer:in) / Urban, Peter (Akademische:r Betreuer:in)

    Erscheinungsdatum :

    2022-01-01


    Format / Umfang :

    1 Online-Ressource : Illustrationen, Diagramme pages


    Anmerkungen:

    Dissertation, Rheinisch-Westfälische Technische Hochschule Aachen, 2022; Aachen : Institut für Kraftfahrzeuge, RWTH Aachen University 1 Online-Ressource : Illustrationen, Diagramme (2022). doi:10.18154/RWTH-2022-05874 = Dissertation, Rheinisch-Westfälische Technische Hochschule Aachen, 2022



    Medientyp :

    Sonstige


    Format :

    Elektronische Ressource


    Sprache :

    Deutsch




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