A Travel Distance Power Consumption Model for Battery Electric Vehicles

Article Preview

Abstract:

Electric Vehicles (EVs) are becoming increasingly popular in recent years. Battery Electric Vehicles (BEVs) are a type of EVs use stored energy more efficiently than typical internal combustion engine powered counterparts. A key challenge of BEV is the limited battery energy. In order to relieve electric vehicle range anxiety for BEV owners and achieve an optimal battery sizing for BEV, a travel distance power consumption model has been created to model the travel behavior of BEV in the fleet. The model provides an efficient way of estimating the power requirements of electric vehicles reach the destination.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 1008-1009)

Pages:

372-375

Citation:

Online since:

August 2014

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] United States Environment Protection Agency, Sources of Greenhouse Gas Emissions[oneline], Available at: http: /www. epa. gov/(Accessed 21 April 2014).

Google Scholar

[2] Smart Grid Insifhts, Global Electric Vehicle Forecast 2013 – 2021, Available at: http: /smartgridinsights. com/market-data/global-electric-vehicle-forecast-2013-2021/(Accessed 21 April 2014).

Google Scholar

[3] Daniel Knutsen, Oscar Willen: A study of electric vehicle charging patterns and range anxiety, UPPSALA UNIVERSITET, (2013).

Google Scholar

[4] John G. Hayes, R. Pedro R. de Oliveira, Sean Vaughan and Michael G. Egan, Simplified electric vehicle power train models and range estimation, Vehicle Power and Propulsion Conference (VPPC), Chicago, IL, pp.1-5, Sept. (2011).

DOI: 10.1109/vppc.2011.6043163

Google Scholar

[5] Enjian Yao, Zhiqiang Yang, Yuanyuan Song and Ting Zuo, Comparison of Electric Vehicle's Energy ConsumptionFactors for Different Road Types, International Journal ofDiscrete Dynamics in Nature and Society, Volume (2013).

Google Scholar

[6] Enjian Yao, Zhifeng Lang, Yuanyuan Song, Yang Yang and Ting Zuo, Microscopic Driving Parameters-Based Energy-Saving Effect Analysis under Different Electric Vehicle Penetration, Advances in Mechanical Engineering, vol. 2013 Article ID 435721, (2013).

DOI: 10.1155/2013/435721

Google Scholar

[7] Ehsani M, Gao Y and Emadi A, Modern electric, hybrid electric, and Fuel Cell Vehicles: Fundamentals, Theory and Design, 2nd edn. CRC, London, (2010).

DOI: 10.1201/9781420054002

Google Scholar