Title :
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
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;
Conference_Titel :
North American Power Symposium (NAPS), 2014
Conference_Location :
Pullman, WA
DOI :
10.1109/NAPS.2014.6965467