Comparative evaluation of energy efficiency of electrical vehicle powertrain configurations

2016 ◽  
pp. 698-706 ◽  
2015 ◽  
Vol 16 (1) ◽  
pp. 71-74 ◽  
Author(s):  
Yayoi MIYAGAWA ◽  
Motohiro SHIMA ◽  
Ryuichi MATSUNO ◽  
Shuji ADACHI

2011 ◽  
Vol 87 ◽  
pp. 30-37 ◽  
Author(s):  
Jian Feng He ◽  
Xiao Xiong Jin

Powertrain mounting system of a Hybrid Electrical Vehicle (HEV) is analyzed and researched, the expression of energy distribution matrix and that of mounting reaction force are derived, and mathematical model of the system is established in Matlab. Correctness of the model established is tested and verified through model establishing for simulation and calculation in ADAMS. Features of Hybrid Genetic Algorithm (HGA) for multiobjective optimization are analyzed and researched, model for calculation of multiobjective optimization using Hybrid Genetic Algorithm is established, targets for optimization of the system are determined, and optimization is executed based on the mounting stiffness parameters. The result that the system is optimized apparently by Hybrid Genetic Algorithm is revealed through contrast of the energy distribution matrix and mounting reaction force of pre and post-optimization.


Author(s):  
Haris Doukas ◽  
Ioanna Makarouni ◽  
Charikleia Karakosta ◽  
Vangelis Marinakis ◽  
John Psarras

The level of development of renewable energy and energy efficiency is low until now in the Arab States of the Gulf. However, the situation is changing rapidly, as their governments now put climate change on the top of their priorities’ list towards sustainable development. The European Union (EU) is engaged in a process of strengthening energy cooperation with the Gulf Cooperation Council (GCC) countries and supports them in addressing and successfully tackling clean energy issues. To respond to this common interest and provide a supportive instrument for the development of cooperation activities, this Chapter presents a methodological framework for the identification and comparative evaluation of appropriate renewable and energy efficiency solutions towards EU-GCC “clean” energy cooperation. The adopted procedure uses an existing Multi Criteria Decision Making method, giving emphasis on the formulation of a collective interactive process, comprising different rationales for intervention, to elaborate more realistic and transparent outcomes.


2013 ◽  
pp. 221-241
Author(s):  
Haris Doukas ◽  
Ioanna Makarouni ◽  
Charikleia Karakosta ◽  
Vangelis Marinakis ◽  
John Psarras

The level of development of renewable energy and energy efficiency is low until now in the Arab States of the Gulf. However, the situation is changing rapidly, as their governments now put climate change on the top of their priorities’ list towards sustainable development. The European Union (EU) is engaged in a process of strengthening energy cooperation with the Gulf Cooperation Council (GCC) countries and supports them in addressing and successfully tackling clean energy issues. To respond to this common interest and provide a supportive instrument for the development of cooperation activities, this Chapter presents a methodological framework for the identification and comparative evaluation of appropriate renewable and energy efficiency solutions towards EU-GCC “clean” energy cooperation. The adopted procedure uses an existing Multi Criteria Decision Making method, giving emphasis on the formulation of a collective interactive process, comprising different rationales for intervention, to elaborate more realistic and transparent outcomes.


Author(s):  
Victoria Muerza ◽  
Emilio Larrodé ◽  
Juan Bautista Arroyo

In the study of the improvement of urban transport in terms of energy efficiency and environmental improvement, one of the best options is the use of electric vehicles for both passengers and freight distribution. Depending on the type of transport operation to be performed, it is necessary to select the most appropriate vehicle that meets the necessary requirements, so that the result is an improvement in energy efficiency and low environmental impact. It is therefore necessary to design architectures for electric vehicles, specially adapted to the different scenarios in which are to be used, and where they can optimize the transport operation in both reducing energy consumption and reducing emissions, maintaining a cost competitive with current vehicle operation. The electrical vehicles (EV) are composed of different systems. A typical EV structure involves five subsystems: (i) drive system, (ii) power system, (iii) control system, (iv) vehicle structure and (v) auxiliary systems. This paper focuses on the development of a multicriteria decision procedure based on the use of the Analytic Hierarchy Process (AHP), to prioritize among the five vehicle systems, in which the design efforts should be guided to improve the vehicle performances in a given scenario of vehicle use.DOI: http://dx.doi.org/10.4995/CIT2016.2016.3380


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