Optimization of electric vehicle movement for efficient energy consumption

Author

Qin Yan ; Bei Zhang ; Kezunovic, Mladen

Author_Institution

Dept. of Electr. & Comput. Eng., Texas A&M Univ., College Station, TX, USA

fYear

2014

fDate

7-9 Sept. 2014

Firstpage

1

Lastpage

6

Abstract

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.

Keywords

electric vehicles; energy conservation; energy consumption; optimisation; EV drivers; efficient energy consumption; electric vehicle movement optimization; energy-based driving guidance; ground inclination; regenerative energy coefficient; stop-and-go frequency; wind speed; Acceleration; Batteries; Energy consumption; Mathematical model; Optimization; System-on-chip; Vehicles; electric vehicle; mathematical model; optimization strategy; regenerative energy; state of charge;

fLanguage

English

Publisher

ieee

Conference_Titel

North American Power Symposium (NAPS), 2014

Conference_Location

Pullman, WA

Type

conf

DOI

10.1109/NAPS.2014.6965467

Filename

6965467