DocumentCode :
136823
Title :
Modeling for lithium-ion battery used in electric vehicles
Author :
Huachun Han ; Haiping Xu ; Zengquan Yuan ; Yingjie Zhao
Author_Institution :
Key Lab. of Power Electron. & Electr. Drive, Inst. of Electr. Eng., Beijing, China
fYear :
2014
fDate :
Aug. 31 2014-Sept. 3 2014
Firstpage :
1
Lastpage :
5
Abstract :
This paper presents a comparative study of three equivalent circuit models for lithium -ion batteries used in electric vehicles(EVs). Model parameters are all obtained by cooperative particle swarm optimization algorithm on the Dynamic Stress Test data, not the traditional hybrid pulse power characteristic (HPPC) test procedure. A 1372s Federal Urban Driving Schedule test are used to validate and compare model´s performance. Compared with voltage err between simulation result and test data, it is concluded that all the three models can simulate the dynamics of battery well,while the first-order with one-state hysteresis seems to be the best choice for lithium iron phosphate battery used in electric vehicle.
Keywords :
battery powered vehicles; dynamic testing; equivalent circuits; lithium; particle swarm optimisation; scheduling; secondary cells; EVs; HPPC test procedure; cooperative particle swarm optimization algorithm; dynamic stress test data; electric vehicles; equivalent circuit models; federal urban driving schedule test; hybrid pulse power characteristic; lithium iron phosphate battery; lithium-ion battery; model parameters; one-state hysteresis; Batteries; Computational modeling; Hysteresis; Integrated circuit modeling; Load modeling; Mathematical model; System-on-chip;
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.2014.6941095
Filename :
6941095
Link To Document :
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