A smart energy management system for electric city bus battery swap station

Author

Qian Dai ; Tao Cai ; Shanxu Duan ; Wei Zhang ; Jinbo Zhao

Author_Institution

State Key Lab. of Adv. Electromagn. Eng. & Technol., Huazhong Univ. of Sci. & Technol., Wuhan, China

fYear

2014

fDate

Aug. 31 2014-Sept. 3 2014

Firstpage

1

Lastpage

4

Abstract

The electric vehicles battery swap station(BSS) as an important charging infrastructure has been built in many countries. The smart energy management system (EMS) is essential for economic operation for BSS with multi-energy. The proposed BSS-EMS is composed by charging demand forecasting module and BSS optimal charging scheduling module. An example study is carried out to validate the proposed EMS. The results indicate that the proposed multi-objective optimal charging model can significantly reduce both the charging cost and load variance approximately 40% compared to uncontrolled charging due to the charging load forecasting.

Keywords

battery chargers; battery powered vehicles; energy management systems; load forecasting; BSS optimal charging scheduling module; BSS-EMS; battery swap station; charging demand forecasting module; charging load forecasting; economic operation; electric city bus; electric vehicles; multi-objective optimal charging model; smart energy management system; Batteries; Energy management; Forecasting; Load modeling; Optimization; Schedules; System-on-chip; Electric vehicles; battery charging schedule; battery swap station; energy management system;

fLanguage

English

Publisher

ieee

Conference_Titel

Transportation Electrification Asia-Pacific (ITEC Asia-Pacific), 2014 IEEE Conference and Expo

Conference_Location

Beijing

Print_ISBN

978-1-4799-4240-4

Type

conf

DOI

10.1109/ITEC-AP.2014.6941107

Filename

6941107