Powertrain Design Optimization for a Range-Extended Electric Pickup and Delivery Truck

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Authors Abstract
Content
The ongoing electrification and data-intelligence trends in logistics industries enable efficient powertrain design and operation. In this work, the commercial package delivery vehicle powertrain design space is revisited with a specific combination of optimization and control techniques that promise accurate results with relatively fast computational time. The specific application that is explored here is a Class 6 pickup and delivery truck. A statistical learning approach is used to refine the search for the most optimal designs. Five hybrid powertrain architectures, namely, two-speed e-axle, three-speed and four-speed automatic transmission (AT) with electric motor (EM), direct-drive, and dual-motor options are explored, and a set of Pareto-optimal designs are found for a specific driving mission that represents the variations in a hypothetical operational scenario. The modeling and optimization processes are performed on the MATLAB-Simulink platform. A cross-architecture performance and cost comparison is performed, which shows that two-speed e-axle is the optimal architecture for the selected application.
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DOI
https://doi.org/10.4271/02-13-03-0014
Pages
16
Citation
Anil, V., Zhao, T., Zhao, M., Villani, M. et al., "Powertrain Design Optimization for a Range-Extended Electric Pickup and Delivery Truck," SAE Int. J. Commer. Veh. 13(3):189-203, 2020, https://doi.org/10.4271/02-13-03-0014.
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Publisher
Published
Oct 2, 2020
Product Code
02-13-03-0014
Content Type
Journal Article
Language
English