Title :
Optimal sizing of the Energy Storage System (ESS) in a Battery-Electric Vehicle
Author :
Ostadi, Amir ; Kazerani, Mehrdad ; Shih-Ken Chen
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Waterloo, Waterloo, ON, Canada
Abstract :
Energy Storage System (ESS) is a key component in every Electric Vehicle (EV). The most widely-used ESS in electric powertrains is based on batteries. Optimal sizing of the battery pack in electric vehicles is a crucial requirement as it strongly impacts the manufacturing cost and vehicle weight, thus running cost. This paper addresses optimal sizing of the ESS in a Battery-Electric Vehicle (BEV) based on Particle Swarm Optimization (PSO) method. Simulation results based on the optimally-sized ESS for a vehicle are presented to showcase the resulting system performance and the fact that all constraints are respected.
Keywords :
battery powered vehicles; energy storage; particle swarm optimisation; power transmission (mechanical); secondary cells; ESS; PSO; battery electric vehicle; battery pack optimal sizing; electric powertrains; energy storage system; particle swarm optimization; running cost; Batteries; Mathematical model; Optimization; Power demand; System-on-chip; Vehicles; Battery; DC Bus; Electric Vehicle; Energy Storage System (ESS); Optimal Sizing; Particle Swarm Optimization (PSO);
Conference_Titel :
Transportation Electrification Conference and Expo (ITEC), 2013 IEEE
Conference_Location :
Detroit, MI
Print_ISBN :
978-1-4799-0146-3
DOI :
10.1109/ITEC.2013.6574521
