Accurate Modeling of Prismatic Type High Current Lithium-Iron-Phosophate (LiFePO4) Battery for Automotive Applications


With accurate battery modeling, circuit designers and automotive control algorithms developers can predict and optimize the battery performance. In this paper, an experimental verification of an accurate model for prismatic high current lithium-iron-phosphate battery is presented. An automotive TSLFP160AHA lithium-iron-phosphate battery bank is tested. The different capacity GBDLFMP60AH battery bank is used to validate the model extracted from the former battery. Effect of current, stacking and SOC upon the battery parameters performance is investigated. Six empirical equations are obtained to extract the prismatic type LiFePO4 model as a function of SOC. Based on comparing the measured and simulated data, a well accuracy of less than 50mV maximum error voltage with 1.7% operating time error referred to the measured data is achieved. The model can be easily modified to simulate different batteries and can be extended for wide ranges of different currents.

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F. Abo-Elyousr, F. Abd-Elbar, H. Abo-Zaid and G. Rim, "Accurate Modeling of Prismatic Type High Current Lithium-Iron-Phosophate (LiFePO4) Battery for Automotive Applications," Energy and Power Engineering, Vol. 4 No. 6, 2012, pp. 465-481. doi: 10.4236/epe.2012.46061.

Conflicts of Interest

The authors declare no conflicts of interest.


[1] F. P. Tredeau and Z. M. salameh, “Evaluation of Lithium Iron Phosphate Vehicles for Electric Vehicle Application,” IEEE Vehicle Power and Propulsion Conference, Dearborn, 7-10 September 2009, pp. 1266-1270.
[2] E. J. William, et al., “A Comparative Study of Lithium Poly-Carbon Monoflouride (Li/CFx) and Lithium Iron Phosphate (LiFePO4) Battery Chemistries for State of Charge Indicator Design,” IEEE International Symposium on Industrial Electronics, Seoul, 5-8 July 2009, pp. 2006- 2009.
[3] C. H. Cai, D. Du, J. T. Ge, Z. Y. Liu and H. Zhang, “Battery-Charging Model to Study Transient Dynamics of Battery at High Frequency,” IEEE Region 10 Conference on Computers, Communications, Control and Power Engineering, 28-31 October 2002, pp. 1843-1846.
[4] J. M. Miller, “Energy Storage System Technology Challenges Facing Strong Hybrid, Plug-In and Battery Electric Vehicles,” IEEE Vehicle Power and Propulsion Conference, Dearborn, 7-10 September 2009, pp. 4-10.
[5] J. Larminie and J. Lowry, “Electric Vehicle Technology Explained,” John Wiley & Sons, Ltd., Chichester, 2003.
[6] H.-S. Kim, “Secondary Battery and Material,” Korea Electrotechnology Research Institute (KERI) Lectures, June 2010, p. 17.
[7] P. Thounthong, V. Chunkag, P. Sethakul, B. Davat and M. Hinaje, “Comparative Study of Fuel-Cell Vehicle Hybridization with Battery or Supercapacitor Storage Device,” IEEE Transactions on Vehicular Technology, Vol. 58, No. 8, 2009, pp. 3892-3904. doi:10.1109/TVT.2009.2028571
[8] C. S. Edrington, O. Vodyakho, B. A. Hacker, “Development of a Unified Research Platform for Plug-In Hybrid Electrical Vehicle Integration Analysis Utilizing the Power Hardware-in-the-Loop Concept,” Journal of Power Electronics (JPE), Vol. 11, No. 4, 2011, pp. 471-478. doi:10.6113/JPE.2011.11.4.471
[9] J. Bauman and M. Kazerani, “A Comparative Study of Fuel-Cell-Battery, Fuel-Cell-Ultracapacitor and Fuel-Cell- Battery-Ultracapacitor Vehicles,” IEEE Transactions on Vehicular Technology, Vol. 57, No. 2, 2008, pp. 760-769. doi:10.1109/TVT.2007.906379
[10] M. Ziyad, M. A. Salameh, W. A. Casacca and Lynch, “A Mathematical Model for Lead-Acid Batteries,” IEEE Transactions on Energy Conversion, Vol. 7, No. 1, 1992, pp. 93-98.
[11] Y. Kim and H. Ha, “Design of Interface Circuits with Electrical Battery Models,” IEEE Transactions on Industrial Electronics, Vol. 44, No. 1, 1997, pp. 81-86.
[12] K. S. Champlin and K. Bertness, “A Fundamentally New Approach to Battery Performance Analysis Using DFRATM/DFISTM Technology,” Twenty-Second International Telecommunications Energy Conference, Phoenix, 10-14 September 2000, pp. 1-6.
[13] M. Chen and G. A. Ricon-Mora, “Accurate Electrical Battery Model Capable of Predicting Runtime and I-V Performance,” IEEE Transactions on Energy Conversion, Vol. 21, No. 2, 2006, pp. 504-511.
[14] B. Schweighofer, K. M. Raab and G. Brasseur, “Modeling of High Power Automotive Batteries by the Use of an Automated Test System,” IEEE Transactions on Instrumentation and Measurement, Vol. 52, No. 4, 2003, pp. 1087-1091. doi:10.1109/TIM.2003.814827
[15] A. Szumanowski and Y. Chang, “Battery Management System Based on Battery Nonlinear Dynamics Modeling,” IEEE Transactions on Vehicular Technology, Vol. 57, No. 3, 2008, pp. 1425-1432. doi:10.1109/TVT.2007.912176

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