DocumentCode :
3316399
Title :
Comparison of reduced order lithium-ion battery models for control applications
Author :
Speltino, C. ; Domenico, D. Di ; Fiengo, G. ; Stefanopoulou, A.
Author_Institution :
Dipt. di Ing., Univ. degli Studi del Sannio, Benevento, Italy
fYear :
2009
fDate :
15-18 Dec. 2009
Firstpage :
3276
Lastpage :
3281
Abstract :
Lithium-ion batteries are the core of new plug-in hybrid-electrical vehicles (PHEV) as well as considered in many 2nd generation hybrid electric vehicles (HEV). In most cases the lithium-ion battery performances play an important role in the vehicle energy management. As consequence, battery modeling is one of the most important tasks for hybrid and electrical vehicles control. Full order electrochemical models have to be simplified in order to make them compatible with estimation algorithms embedded in a real-time on-board electronic control unit. The battery model simplification has to be carried out accurately in order to achieve maximum computational cost reduction while ensuring the best model performance and reaching an efficient system management. In this paper two different reduced order models, based on the electrochemical laws, are compared both with simulation results and with experimental data collected from a 10 Ah lithium-ion battery. The reduced order models characteristics are analyzed and compared in relation to the specific control objective.
Keywords :
electrochemical electrodes; lithium; reduced order systems; secondary cells; Li; battery model simplification; electrochemical law; full order electrochemical model; lithium-ion battery model; maximum computational cost reduction; plug-in hybrid-electrical vehicle; reduced order model; vehicle energy management; Anodes; Battery management systems; Battery powered vehicles; Cathodes; Circuits; Current density; Hybrid electric vehicles; Reduced order systems; Solids; Voltage;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Decision and Control, 2009 held jointly with the 2009 28th Chinese Control Conference. CDC/CCC 2009. Proceedings of the 48th IEEE Conference on
Conference_Location :
Shanghai
ISSN :
0191-2216
Print_ISBN :
978-1-4244-3871-6
Electronic_ISBN :
0191-2216
Type :
conf
DOI :
10.1109/CDC.2009.5400816
Filename :
5400816
Link To Document :
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