Torque distribution strategies for energy-efficient electric vehicles with multiple drivetrains

LENZO, Basilio, DE FILIPPIS, Giovanni, DIZQAH, Arash, SORNIOTTI, Aldo, GRUBER, Patrick, FALLAH, Saber and DE NIJS, Wouter (2017). Torque distribution strategies for energy-efficient electric vehicles with multiple drivetrains. Journal of Dynamic Systems, Measurement and Control, 139 (12), DS-16.

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Official URL: http://dynamicsystems.asmedigitalcollection.asme.o...
Link to published version:: https://doi.org/10.1115/1.4037003
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Abstract

The paper discusses novel computationally efficient torque distribution strategies for electric vehicles with individually controlled drivetrains, aimed at minimizing the overall power losses while providing the required level of wheel torque and yaw moment. Analytical solutions of the torque control allocation problem are derived and effects of load transfers due to driving/braking and cornering are studied and discussed in detail. Influences of different drivetrain characteristics on the front and rear axles are described. The results of an analytically-derived algorithm are contrasted with those from two other control allocation strategies, based on the off-line numerical solution of more detailed formulations of the control allocation problem (i.e., a multi-parametric non-linear programming problem). The control allocation algorithms are experimentally validated with an electric vehicle with four identical drivetrains along multiple driving cycles and in steady-state cornering. The experiments show that the computationally efficient algorithms represent a very good compromise between low energy consumption and controller complexity.

Item Type: Article
Departments - Does NOT include content added after October 2018: Faculty of Science, Technology and Arts > Department of Engineering and Mathematics
Identification Number: https://doi.org/10.1115/1.4037003
Page Range: DS-16
Depositing User: Basilio Lenzo
Date Deposited: 05 May 2017 12:23
Last Modified: 18 Mar 2021 07:24
URI: https://shura.shu.ac.uk/id/eprint/15643

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