Optimization of Electric Vehicle Movement for Efficient Energy Consumption Conference Paper

abstract

• 2014 IEEE. This paper focuses on the development of computational optimization algorithm to provide energy-based driving guidance for electric vehicle (EV) drivers to use the limited resource efficiently. The proposed efficiency improving strategy that minimizes total energy consumption according to various driving scenarios is demonstrated and analyzed. Several factors such as regenerative energy coefficient, stop-and-go frequency, inclination of ground, wind speed, etc. have been taken into consideration in the case studies.

name of conference

• 2014 North American Power Symposium (NAPS)

authors

• Kezunovic, Mladen

published proceedings

• 2014 NORTH AMERICAN POWER SYMPOSIUM (NAPS)

author list (cited authors)

• Yan, Q., Zhang, B., & Kezunovic, M.

citation count

• 22

complete list of authors

• Yan, Qin||Zhang, Bei||Kezunovic, Mladen

publication date

• January 2014

publisher

• Institute of Electrical and Electronics Engineers (IEEE)  Publisher

published in

• n2163-4939ISSN  Journal

keywords

• Electric Vehicle
• Mathematical Model
• Optimization Strategy
• Regenerative Energy
• State Of Charge

Digital Object Identifier (DOI)

• 10.1109/naps.2014.6965467

International Standard Book Number (ISBN) 13

• 9781479959044

start page

• 1

end page

• 6

URL

• http%3A%2F%2Fdx.doi.org%2F10.1109%2Fnaps.2014.6965467

user-defined tag

• 7 Affordable and Clean Energy