國立虎尾科技大學 |

Increased understanding of hybrid vehicle design through modeling, simulation, and optimization.

紀錄類型:	書目-語言資料,手稿 : Monograph/item
正題名/作者:	Increased understanding of hybrid vehicle design through modeling, simulation, and optimization./
作者:	Geller, Benjamin M.
面頁冊數:	1 online resource (98 pages)
附註:	Source: Masters Abstracts International, Volume: 49-03, page: 2008.
Contained By:	Masters Abstracts International49-03.
標題:	Mechanical engineering. -
電子資源:	click for full text (PQDT)
ISBN:	9781124396682

Increased understanding of hybrid vehicle design through modeling, simulation, and optimization.
Geller, Benjamin M.

Increased understanding of hybrid vehicle design through modeling, simulation, and optimization. - 1 online resource (98 pages)

Source: Masters Abstracts International, Volume: 49-03, page: 2008.

Thesis (M.S.)--Colorado State University, 2010.

Includes bibliographical references

Vehicle design is constantly changing and improving due to the technologically driven nature of the automotive industry, particularly in the hybridization and electrification of vehicle drivetrains. Through enhanced design vehicle level design constraints can result in the fulfillment of system level design objectives. These constraints may include improved vehicle fuel economy, all electric range, and component costs which can affect system objectives of increased national energy independence, reduced vehicle and societal emissions, and reduced life-cycle costs.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2018

Mode of access: World Wide Web

ISBN: 9781124396682Subjects--Topical Terms:

557493
Mechanical engineering.
Index Terms--Genre/Form:

554714
Electronic books.

Increased understanding of hybrid vehicle design through modeling, simulation, and optimization.
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100 1 $a Geller, Benjamin M. $3 1189482
245 1 0 $a Increased understanding of hybrid vehicle design through modeling, simulation, and optimization.
264 0 $c 2010
300 $a 1 online resource (98 pages)
336 $a text $b txt $2 rdacontent
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500 $a Source: Masters Abstracts International, Volume: 49-03, page: 2008.
500 $a Adviser: Thomas H. Bradley.
502 $a Thesis (M.S.)--Colorado State University, 2010.
504 $a Includes bibliographical references
520 $a Vehicle design is constantly changing and improving due to the technologically driven nature of the automotive industry, particularly in the hybridization and electrification of vehicle drivetrains. Through enhanced design vehicle level design constraints can result in the fulfillment of system level design objectives. These constraints may include improved vehicle fuel economy, all electric range, and component costs which can affect system objectives of increased national energy independence, reduced vehicle and societal emissions, and reduced life-cycle costs.
520 $a In parallel, as computational power increases the ability to accurately represent systems through analytical models improves. This allows for systems engineering which is commonly quicker and less resource consuming than physical testing. As a systems engineering technique, optimization has shown to obtain superior solutions systematically, in opposition to trial-and-error designs of the past. Through the combination of vehicle models, computer numerical simulation, and optimization, overall vehicle systems design can greatly improve.
520 $a This study defines a connection between the system level objectives for advanced vehicle design and the component- and vehicle-level design process using a multi-level design and simulation modeling environment. The methods and information pathways for vehicle system models are presented and applied to dynamic simulation. Differing vehicle architecture simulations are subjected to a selection of proven optimization algorithms and design objectives such that the performance of the algorithms and vehicle-specific design information and sensitivity is obtained. The necessity of global search optimization and aggregate objective functions are confirmed through exploration of the complex hybrid vehicle design space.
520 $a Whether the chosen design space is limited to available components or expanded to academic areas, studies can be performed for numerous design objectives and constraints. The combination of design criteria into quantifiable objective functions allows for direct optimization comparison based on any number of design goals. Integrating well-defined objective functions into high performing global optimization search methods provides increased probability of obtaining solutions which represent the most germane designs. Additionally, key interactions between different components in the vehicular system can easily be identified such that ideal directions for gain relative to minimal cost can be achieved.
520 $a Often times vehicular design processes require lower order representations or consist of time and resource consuming iterations. Through the formulation presented in this study, more details, objectives, and methods become available for comparing advanced vehicles across architectures. The main techniques used for setting up the models, simulations and optimizations are discussed along with results of test runs based on chosen vehicle objectives. Utility for the vehicular design efforts are presented through comparisons of available simulation and future areas of research are suggested.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2018
538 $a Mode of access: World Wide Web
650 4 $a Mechanical engineering. $3 557493
650 4 $a Transportation. $3 558117
650 4 $a Systems science. $3 1148479
655 7 $a Electronic books. $2 local $3 554714
690 $a 0548
690 $a 0709
690 $a 0790
710 2 $a ProQuest Information and Learning Co. $3 1178819
710 2 $a Colorado State University. $b Mechanical Engineering. $3 1178987
773 0 $t Masters Abstracts International $g 49-03.
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1483921 $z click for full text (PQDT)