Electric vehicles (EVs) with four independent in-wheel motors are classified as over-actuated systems, granting unprecedented possibilities to meet the total driving torque and yaw moment demands through an infinite number of feasible torque combinations. Ensuring an energy-efficient torque distribution among the motors is indispensable for mitigating energy consumption and extending the driving range. This is a pivotal factor in promoting eco-friendly and sustainable transportation solutions. This work focuses on the low-level control of a proposed multi-objective control architecture, encompassing longitudinal, lateral, stability, and maneuverability control. A novel configuration method for torque allocation is established, followed by developing and contrasting four multi-objective-based strategies. An energy-saving criterion is further developed, and the energy-efficient allocation strategies are carried out within the frameworks of online and offline optimization, based on the Sequential Quadratic Programming (SQP) algorithm. The proposed architecture is tested and validated in a joint simulation between Simulink/MatLab and SCANeR™ Studio vehicle dynamics simulator. The simulation outcomes demonstrate that implementing the suggested torque allocation can lead to enhancements in the energy efficiency, driving comfort, and stability of the electric vehicle.


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    Titel :

    Driving Towards Energy Efficiency: A Novel Torque Allocation Strategy for In-Wheel Electric Vehicles


    Beteiligte:
    Tarhini, Fadel (Autor:in) / Talj, Reine (Autor:in) / Doumiati, Moustapha (Autor:in)


    Erscheinungsdatum :

    24.09.2023


    Format / Umfang :

    8244955 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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