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Design and Power Consumption Scalability of an Autonomous Electric Robo-Car Using Different Adaptive Cruise Control Models.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Design and Power Consumption Scalability of an Autonomous Electric Robo-Car Using Different Adaptive Cruise Control Models./
作者:	Pan, Chenhui.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2021,
面頁冊數:	110 p.
附註:	Source: Masters Abstracts International, Volume: 83-03.
Contained By:	Masters Abstracts International83-03.
標題:	Transportation. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28713855
ISBN:	9798535572031

Design and Power Consumption Scalability of an Autonomous Electric Robo-Car Using Different Adaptive Cruise Control Models.
Pan, Chenhui.

Design and Power Consumption Scalability of an Autonomous Electric Robo-Car Using Different Adaptive Cruise Control Models. - Ann Arbor : ProQuest Dissertations & Theses, 2021 - 110 p.

Source: Masters Abstracts International, Volume: 83-03.

Thesis (M.S.)--The George Washington University, 2021.

This item must not be sold to any third party vendors.

Among the topics associated with intelligent transportation systems, autonomous electric vehicles (AEVs) have received significant attention in research and application in the past decade; however, development, testing and data collection associated with such vehicles have been a great challenge due to various technical, policy and cost constraints. This paper focuses on an approach to construct, test, and collect data related to AEVs at a laboratory scaled-down level. The objective is to investigate AEV technologies while overcoming the real-world full-scale deployment and construction complexities. Accordingly, this paper presents a newly built scaled down AEV (i.e., Robo-Car) and studies the associated scalability in measured power consumption if compared to the estimated power consumption of a real-world AEV. The Intelligent Driving Model (IDM), the Non-linear Model Predictive Control (MPC) model and the Ecological Smart Driver Model (Eco-SDM) are implemented in the Robo-Car system as Adaptive Cruise Control (ACC) logics while a Polynomial Power Demand Model is adopted to measure energy consumption. Results show that the developed robot model can produce power consumption patterns comparable to those estimated for a scaled-down robot and a full-size AEV. Future research should explore the incorporation of additional models during different traffic condition (i.e., lane changing and merging scenarios) while using updated technologies in autonomous electric vehicles and searching for an optimal system integration.

ISBN: 9798535572031Subjects--Topical Terms:

555912
Transportation.
Subjects--Index Terms:

Autonomous electric vehicles

Design and Power Consumption Scalability of an Autonomous Electric Robo-Car Using Different Adaptive Cruise Control Models.
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