DocumentCode :
3270916
Title :
An energy management strategy for an EV with two propulsion machines and a hybrid energy storage system
Author :
Junyi Shen ; Khaligh, Alireza
Author_Institution :
Electr. & Comput. Eng. Dept., Univ. of Maryland, College Park, MD, USA
fYear :
2015
fDate :
14-17 June 2015
Firstpage :
1
Lastpage :
5
Abstract :
This manuscript presents a powertrain model with two propulsion machines and a battery-ultracapacitor based hybrid energy storage system (HESS). A two-propulsion machine powertrain can take the best advantage of the limited space under the hood of high performance electric vehicles. One of the major challenges in this architecture is to effectively split the load power demand between the two propulsion machines and the hybrid energy storage components. This manuscript presents a supervisory energy management strategy that optimizes the power split in order to improve the powertrain energy efficiency and also prolong the battery lifetime. It is estimated that the proposed two propulsion machines improves the powertrain efficiency by 5% in comparison to its counterpart with only one propulsion machine. In addition, the energy management control strategy improves the battery state-of-health by 15% in comparison to the battery-only energy storage system under the daily commute assumption based on standard urban drive cycles.
Keywords :
demand side management; electric machines; electric propulsion; energy conservation; hybrid electric vehicles; power transmission (mechanical); supercapacitors; EV energy management strategy; HESS; battery lifetime; battery state-of-health; battery-ultracapacitor; electric vehicles; energy management control strategy; hybrid energy storage system; load power demand; propulsion machine powertrain energy efficiency; Batteries; Informatics; Load modeling; Propulsion; Torque; electric vehicle; hybrid energy storage system; two propulsion machines;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Transportation Electrification Conference and Expo (ITEC), 2015 IEEE
Conference_Location :
Dearborn, MI
Type :
conf
DOI :
10.1109/ITEC.2015.7165791
Filename :
7165791
Link To Document :
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