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

journal contribution
posted on 2023-06-09, 17:20 authored by B Lenzo, G De Filippis, Arash Moradinegade DizqahArash Moradinegade Dizqah, A Sorniotti, P Gruber, S Fallah, W De Nijs
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 offline numerical solution of more detailed formulations of the control allocation problem (i.e., a multiparametric nonlinear programming (mp-NLP) 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.

History

Publication status

  • Published

Journal

Journal of Dynamic Systems, Measurement and Control

ISSN

0022-0434

Publisher

American Society of Mechanical Engineers

Issue

12

Volume

139

Department affiliated with

  • Engineering and Design Publications

Research groups affiliated with

  • Dynamics, Control and Vehicle Research Group Publications

Full text available

  • No

Peer reviewed?

  • Yes

Legacy Posted Date

2019-03-21

First Compliant Deposit (FCD) Date

2019-03-20

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