A fast and parametric torque distribution strategy for four-wheel-drive energy-efficient electric vehicles

DIZQAH, Arash M, LENZO, Basilio, SORNIOTTI, Aldo, GRUBER, Patrick, FALLAH, Saber and DE SMET, Jasper (2016). A fast and parametric torque distribution strategy for four-wheel-drive energy-efficient electric vehicles. IEEE Transactions on Industrial Electronics, 63 (7), 4367-4376.

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Official URL: http://ieeexplore.ieee.org/document/7430272/?arnum...
Link to published version:: https://doi.org/10.1109/TIE.2016.2540584
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    Abstract

    Electric vehicles (EVs) with four individually controlled drivetrains are over-actuated systems, and therefore, the total wheel torque and yaw moment demands can be realized through an infinite number of feasible wheel torque combinations. Hence, an energy-efficient torque distribution among the four drivetrains is crucial for reducing the drivetrain power losses and extending driving range. In this paper, the optimal torque distribution is formulated as the solution of a parametric optimization problem, depending on the vehicle speed. An analytical solution is provided for the case of equal drivetrains, under the experimentally confirmed hypothesis that the drivetrain power losses are strictly monotonically increasing with the torque demand. The easily implementable and computationally fast wheel torque distribution algorithm is validated by simulations and experiments on an EV demonstrator, along driving cycles and cornering maneuvers. The results show considerable energy savings compared to alternative torque distribution strategies.

    Item Type: Article
    Additional Information: INSPEC Accession Number: 16069856 attached document (c) 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works
    Identification Number: https://doi.org/10.1109/TIE.2016.2540584
    Page Range: 4367-4376
    Depositing User: Basilio Lenzo
    Date Deposited: 09 Nov 2016 11:03
    Last Modified: 18 Mar 2021 00:36
    URI: http://shura.shu.ac.uk/id/eprint/13970

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