Advanced Performance Estimation Model for Lithium-Ion Power Battery Used in Pure Electric Vehicles

Abstract:

The growing demand for accurate performance simulations of high-power Li-ion traction batteries requires a fast and effective method. In this paper, an advanced estimation model is proposed to evaluate Li-ion traction battery performance in pure electric vehicle (PEV) applications. The estimation model, which combines road load simulation and lumped parameter analysis, can predict vehicle traction power requirements and entire battery performance parameters both for charge (regenerative braking or grid charging) and discharge (traction power) processes. The model is validated for a battery pack in a PEV operating over three representative driving cycles: (i) the new European driving cycle (NEDC), (ii) 60km/h constant speed driving cycle, and (iii) 30min maximum speed driving cycle. The results show that the combined performance model output corresponds well with measured data. Thus, this new proposed model can be used to validate battery pack performance during in-vehicle use with reasonable accuracy.

• Periodical: Applied Mechanics and Materials (Volume 472)
• Pages: 379-388
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.472.379
• Online since: January 2014
• Authors: Ling Juan Li, Ming Ming Liu, J.R. Linna, Guo Hua Ye, Xiao Bing Liu
• Keywords: Advanced Estimation Model, Li-Ion Traction Battery Performance, Lumped Parameter Analysis, Pure Electric Vehicle, Road Load Simulation

References

[1] L. Chen, K. Chen. and SunFengchun, 5th IEEE Vehicle Power and Propulsion Conference vol. 20, pp. 1643e1648.

[2] Yang W J, Yu D H, Kim Y B. Parameter estimation of lithium-ion batteries and noise reduction using an H∞ filter[J]. Journal of Mechanical Science and Technology, 2013, 27(1): 247-256.

DOI: 10.1007/s12206-012-1203-z

[3] Christophersen J P, Motloch C G, Ho C D, et al. Lumped parameter modeling as a predictive tool for a battery status monitor[C]/Vehicular Technology Conference, 2003. VTC 2003-Fall. 2003 IEEE 58th. IEEE, 2003, 5: 3257-3261.

DOI: 10.1109/vetecf.2003.1286255

[4] Rao R, Vrudhula S, Rakhmatov D N. Battery modeling for energy aware system design[J]. Computer, 2003, 36(12): 77-87.

DOI: 10.1109/mc.2003.1250886

[5] Ng K S, Moo C S, Chen Y P, et al. Enhanced coulomb counting method for estimating state-of-charge and state-of-health of lithium-ion batteries[J]. Applied energy, 2009, 86(9): 1506-1511.

DOI: 10.1016/j.apenergy.2008.11.021

[6] Huria T, Ceraolo M, Gazzarri J, et al. High fidelity electrical model with thermal dependence for characterization and simulation of high power lithium battery cells[C]/Electric Vehicle Conference (IEVC), 2012 IEEE International. IEEE, 2012: 1-8.

DOI: 10.1109/ievc.2012.6183271

[7] Kroeze R C, Krein P T. Electrical battery model for use in dynamic electric vehicle simulations[C]/Power Electronics Specialists Conference, 2008. PESC 2008. IEEE. IEEE, 2008: 1336-1342.

DOI: 10.1109/pesc.2008.4592119

[8] PNGV test plan for Advanced Technology Development Gen 2 lithium ion cells, EVH-TP-121, Revision 6, October (2001).

[9] Plett G L. Extended Kalman filtering for battery management systems of LiPB-based HEV battery packs: Part 1. Background[J]. Journal of Power sources, 2004, 134(2): 252-261.

DOI: 10.1016/j.jpowsour.2004.02.031

[10] Chul-Ho Kim, Kee-Man Lee, Analytical Study on the Performance Analysis of Power Train System of an Electric Vehicle, World Electric Vehicle Journal Vol. 3-ISSN2030-6653, (2009).

DOI: 10.3390/wevj3040830

[11] Khateeb S A, Farid M M, Selman J R, et al. Mechanical–electrochemical modeling of Li-ion battery designed for an electric scooter[J]. Journal of power sources, 2006, 158(1): 673-678.

DOI: 10.1016/j.jpowsour.2005.09.059

[12] Gillespie T D. Fundamentals of vehicle dynamics (R-114)[J]. SAE International, March, (1992).

[13] Chen M, Rincon-Mora G A. Accurate electrical battery model capable of predicting runtime and IV performance[J]. Energy conversion, ieee transactions on, 2006, 21(2): 504-511.

DOI: 10.1109/tec.2006.874229

[14] Lee S, Kim J, Lee J, et al. State-of-charge and capacity estimation of lithium-ion battery using a new open-circuit voltage versus state-of-charge[J]. Journal of Power Sources, 2008, 185(2): 1367-1373.

DOI: 10.1016/j.jpowsour.2008.08.103

[15] Zhijie Zhang, Maode Li. Temperature Rise Characteristic Study For Li-ion Battery [j]. automobile engineering. 2010, 32(4): 320-321.