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contributor authorZhu, Guoming G.
contributor authorMiao, Chengsheng
date accessioned2019-09-18T09:05:00Z
date available2019-09-18T09:05:00Z
date copyright3/1/2019 12:00:00 AM
date issued2019
identifier issn0025-6501
identifier otherme-2019-mar4.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4258652
description abstractMaking future vehicles intelligent with improved fuel economy and satisfactory emissions are the main drivers for current vehicle research and development. The connected and autonomous vehicles still need years or decades to be widely used in practice. However, some advanced technologies have been developed and deployed for the conventional vehicles to improve the vehicle performance and safety, such as adaptive cruise control (ACC), automatic parking, automatic lane keeping, active safety, super cruise, and so on. On the other hand, the vehicle propulsion system technologies, such as clean and high efficiency combustion, hybrid electric vehicle (HEV), and electric vehicle, are continuously advancing to improve fuel economy with satisfactory emissions for traditional internal combustion engine powered and hybrid electric vehicles or to increase cruise range for electric vehicles.
publisherAmerican Society of Mechanical Engineers (ASME)
titleReal-Time Co-optimization of Vehicle Route and Speed Using Generic Algorithm for Improved Fuel Economy
typeJournal Paper
journal volume141
journal issue3
journal titleMechanical Engineering Magazine Select Articles
identifier doi10.1115/1.2019-MAR-4
journal lastpageS15
treeMechanical Engineering Magazine Select Articles:;2019:;volume( 141 ):;issue: 003
contenttypeFulltext


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