Vehicle Design Optimization for Minimizing Operating Costs of Electric Vehicles

1993 ◽  
Author(s):  
J. T. Baer ◽  
Andrew A. Frank
Keyword(s):  
Design Optimization ◽  
Electric Vehicles ◽  
Operating Costs ◽  
Vehicle Design

Manufacturing the Electric Vehicle: A Window of Technological Opportunity for Southern California

1995 ◽  
Vol 27 (6) ◽  
pp. 835-862 ◽  
Author(s):  
C O Quandt
Keyword(s):  
Electric Vehicle ◽  
Electric Vehicles ◽  
The United States ◽  
Vehicle Design ◽  
Development Programs ◽  
Technological Opportunity ◽  
Public And Private ◽  
Vehicle Technology ◽  
Automobile Manufacturer ◽  
Vehicle Technologies

The California Air Resources Board has mandated that by 1998 2% of new vehicles sold in California must be zero emission, effectively, electric vehicles. This requirement is largely responsible for the electric vehicle development programs run by almost every global automobile manufacturer that does business in the United States. At present, no single electric vehicle technology, from battery type, to propulsion system, to vehicle design, represents a standard for a protoelectric vehicle industry. In this paper competing electric vehicle technologies are reviewed, leading public and private electric vehicle research programs worldwide are summarized, and the barriers faced by competing technological systems in terms of manufacturing and infrastructural requirements are examined.

Conceptual Design Optimization With Economic Uncertainty: An Application to Interactions Between Designers and Airlines

2014 ◽  
Author(s):  
Garrett Waycaster ◽  
Christian Bes ◽  
Volodymyr Bilotkach ◽  
Christian Gogu ◽  
Raphael Haftka ◽  
...  
Keyword(s):  
Asymmetric Information ◽  
Design Optimization ◽  
Operating Costs ◽  
Economic Uncertainty ◽  
Aircraft Wing ◽  
Design Decisions ◽  
Transport Aircraft ◽  
Sources Of Uncertainty ◽  
Optimal Decisions ◽  
Engineering Problems

Many engineering problems involve interactions between multiple decisions makers, or stakeholders, each with their own objectives and uncertainties. Considering these interactions during design optimization allows us to account for new sources of uncertainty, which we refer to as economic uncertainty. In this paper, we consider an application of optimization considering interactions between aircraft designers and airlines based on the design of a commercial transport aircraft wing. We consider that the aircraft designer makes their design decisions first, and therefore must predict the reaction of the airline. We focus on the effect of two economic uncertainties: uncertainty that would normally only affect the airline and uncertainty due to asymmetric information, or errors in the designers’ understanding of the airlines’ preferences. We find that these uncertainties play a significant role in the optimal decisions by both airlines and designers. We also show that asymmetric information may actually be beneficial for both stakeholders in certain cases, where both players benefit from the aircraft designer underestimating the operating costs of the airline.

scholarly journals Preliminary study on launch vehicle design: Applications of multidisciplinary design optimization methodologies

2017 ◽  
Vol 26 (1) ◽  
pp. 93-103 ◽  
Author(s):  
Loïc Brevault ◽  
Mathieu Balesdent ◽  
Sébastien Defoort
Keyword(s):  
Design Optimization ◽  
Design Process ◽  
Concurrent Engineering ◽  
Multidisciplinary Design Optimization ◽  
Launch Vehicle ◽  
Multidisciplinary Design ◽  
Vehicle Design ◽  
Launch Vehicles ◽  
Data Set ◽  
Launch Vehicle Design

The design of complex systems such as launch vehicles involves different fields of expertise that are interconnected. To perform multidisciplinary studies, concurrent engineering aims at providing a collaborative environment which often relies on data set exchange. In order to efficiently achieve system-level analyses (uncertainty propagation, sensitivity analysis, optimization, etc.), it is necessary to go beyond data set exchange which limits the capabilities of performance assessments. Multidisciplinary design optimization methodologies is a collection of engineering methodologies to optimize systems modelled as a set of coupled disciplinary analyses and is a key enabler to extend concurrent engineering capabilities. This article is focused on several examples of recent developments of multidisciplinary design optimization methodologies (e.g. multidisciplinary design optimization with transversal decomposition of the design process, multidisciplinary design optimization under uncertainty) with applications to launch vehicle design to illustrate the benefices of taking into account the coupling effects between the different physics all along the design process. These methods enable to manage the complexity of the involved physical phenomena and their interactions in order to generate innovative concepts such as reusable launch vehicles beyond existing solutions.

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