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Optimal Selection of Steering Mechanism for Electric Vehicle
Technical Paper
2020-28-0446
ISSN: 0148-7191, e-ISSN: 2688-3627
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English
Abstract
This paper focuses on an optimal selection of steering mechanisms for electric vehicles (specifically BEV). In the first phase, we try to develop an atlas of steering mechanisms and in the second phase do an optimal steering mechanism selection to be used in the electric vehicle. The steering system is critical for the optimal performance of the e-vehicle. Because of the absence of an engine, the propulsive electric motor is dominant. But whenever BEV moves in city limits, it imposes peculiar constraints leads to the selection of best possible choice of propulsive motor control unit (MCU), battery control unit (BCU) and other relevant controllers of an electric vehicle. Most of the researchers pay attention to the MCU and BCU but ignores the steering system. For the proper functioning of BEVs, we also have to pay attention to the steering system. The steering system incorporates types of mechanisms, linkages, joints, connections to the control motors. We are using Hong Sen Yan’s creative design theory for mechanical devices to generate all possible permutation combinations of steering systems including newer ones as an atlas, which will be relevant to be part of the e-vehicle. Optimal selection of steering system from this atlas will be based on performance indices such as trafficability, maneuverability, terrainability, etc. With the constraint imposed by the performance parameter, like turning angle, turning radius mechanical advantage, the position of the center of gravity, etc. we select the most suitable steering system for BEV. These will help in realizing the practically most suitable steering system for BEVs. And this is expected from BEV so that drivers can have a smooth ride, with all optimally controlled design parameters for Bev’s on-road performance.
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KATAIT, S. and Dorlikar, P., "Optimal Selection of Steering Mechanism for Electric Vehicle," SAE Technical Paper 2020-28-0446, 2020, https://doi.org/10.4271/2020-28-0446.Data Sets - Support Documents
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References
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