Modeling and optimization of power losses in poly-V belt transmissions : Application to the Front Engine Accessory Drive of trucks

Abstract : This work is a part of the Efficient Distribution Truck (EDIT, FUI 19) project, led by Volvo Trucks, whose objective is to reduce distribution vehicles’ fuel consumption for 2020 by 13% when compared with the current production vehicle EURO-6. The EDIT project targets five areas of research and technical solutions, one of which consists of obtaining an optimized poly-V belt transmission concerning the power losses. In terms of lifetime of the mechanical components, reduction of noise and vibrations, the Front Engine Accessory Drives (FEADs) are currently one of the most technologically sophisticated systems. However, further improvements can be made to make the vehicles more energy efficient. This thesis, which aims at investigating possibilities for reducing and optimizing the power losses in the FEADs, is composed of three main parts: the characterization of the viscoelastic materials of the poly-V belts via Dynamic Mechanical Analysis (DMA) and the FEAD components; the modeling, the optimization and the implementation of the power loss models in a simulation tool; and their experimental validation through a test bench. The power losses occurring in a FEAD are of several types: poly-V internal losses (hysteresis of the belt-rubber), poly-V external losses (belt/pulley slip) and losses from the accessory drives (friction inside the bearings). These power losses can be quantified and optimized thanks to the models developed throughout this thesis. These models have been validated and implemented in a simulation tool (PLFead, Power Loss Front engine accessory drive), which has been developed to optimize the power losses taking into consideration the design parameters and operating conditions of the FEAD.
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Carlos Alexandre Ferreira Da Silva. Modeling and optimization of power losses in poly-V belt transmissions : Application to the Front Engine Accessory Drive of trucks. Mechanical engineering [physics.class-ph]. Université de Lyon, 2018. English. ⟨NNT : 2018LYSEI079⟩. ⟨tel-02187312⟩

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