Battery pack modeling for the analysis of battery management system of a hybrid electric vehicle

Battery forms a critical part of the hybrid electric vehicle (HEV) drivetrain. An important constraint to the effective performance and reliability of the battery is its unpredictable internal resistance variation along the driving cycle. Temperature has a considerable effect on this internal resistance and thus the battery management system monitors cell and battery pack temperature in accordance with the state-of-charge to prevent thermal runaway. Li-ion batteries which offer possible solutions to the HEVs energy and power density demands thus need to have a good thermal management system in order to enhance their performance. This paper aims to develop a battery pack model that would analyze the variation of internal resistance as a function of temperature. The study of the losses would help in designing a cost effective efficient battery management system.

[1]  Wei Zhu,et al.  Fast equalization for large Lithium Ion batteries , 2008, OCEANS 2008.

[2]  Andreas Jossen,et al.  Battery management systems (BMS) for increasing battery life time , 2000, TELESCON 2000. Third International Telecommunications Energy Special Conference (IEEE Cat. No.00EX424).

[3]  J.A. Asumadu,et al.  Precision Battery Management System , 2005, 2005 IEEE Instrumentationand Measurement Technology Conference Proceedings.

[4]  Jin Jin,et al.  A new battery management system for li-ion battery packs , 2008, APCCAS 2008 - 2008 IEEE Asia Pacific Conference on Circuits and Systems.

[5]  Alberto Bellini,et al.  Battery choice and management for new-generation electric vehicles , 2005, IEEE Transactions on Industrial Electronics.

[6]  Zechang Sun,et al.  Online SOC Estimation of High-power Lithium-ion Batteries Used on HEVs , 2006, 2006 IEEE International Conference on Vehicular Electronics and Safety.

[7]  V. Spath,et al.  Battery management systems (BMS) for increasing battery life time , 1999, 21st International Telecommunications Energy Conference. INTELEC '99 (Cat. No.99CH37007).

[8]  Hiroshi Shimizu,et al.  Advanced concepts in electric vehicle design , 1997, IEEE Trans. Ind. Electron..

[9]  Liu Qiao,et al.  Automotive battery management systems , 2008, 2008 IEEE AUTOTESTCON.

[10]  B. Tsenter Battery management for hybrid electric vehicle and telecommunication applications , 2002, Seventeenth Annual Battery Conference on Applications and Advances. Proceedings of Conference (Cat. No.02TH8576).

[11]  Eberhard Meissner,et al.  Battery Monitoring and Electrical Energy Management , 2003 .

[12]  Xuezhe Wei,et al.  Research on high-precision data acquisition and SOC calibration method for power battery , 2008, 2008 IEEE Vehicle Power and Propulsion Conference.

[13]  B. Scrosati,et al.  Advances in lithium-ion batteries , 2002 .

[14]  Min Chen,et al.  Accurate electrical battery model capable of predicting runtime and I-V performance , 2006, IEEE Transactions on Energy Conversion.