Research on State of Charge Estimation of Lithium Iron Phosphate Battery Used on Electric Vehicle

Cheng Lin Liao; Li Ye Wang; Li Fang Wang

doi:10.4028/www.scientific.net/AMR.179-180.3

Paper Titles

Preface and Committees

Research on State of Charge Estimation of Lithium Iron Phosphate Battery Used on Electric Vehicle
p.3

The Three Dimensional Numerical Analysis of Consolidation of Rock Mass with Pre-Stressed Anchor Cables
p.9

Development of Red Laser Positioning Computer-Aided-Signage System
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Analysis for TCSC in Single Phase Power System Simulation
p.20

The Impact of Corrosion on the Mechanical Properties of Smooth Steel Rebar HPB235
p.28

The Method to Construct Elementary Dependent Function Whose Discussion Field is an Infinite Interval and Positive Field Finite
p.32

Numerical Simulation for the System of Ordinary Differential Equations
p.37

Robust Reliability Design for Networked Control Systems Based on Information Scheduling
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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 179-180Research on State of Charge Estimation of Lithium...

Research on State of Charge Estimation of Lithium Iron Phosphate Battery Used on Electric Vehicle

Abstract:

Lithium iron phosphate battery (LiFeO4 battery) is a very promising power battery. The research on LiFeO4 battery and the realization of its battery management system are very significant for the development of Electric Vehicle. Based on a large number of test data, the equivalent circuit model of battery is established, the parameters of the battery model are obtained using least-square method, and then the improved SOC estimation algorithm is studied in simulation conditions. All of the battery management algorithms are achieved in simulation model. The C code is generated from simulation model and applied in battery management system. Finally, the battery management algorithms are verified by simulation and hardware-in-loop test and bench test.

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Periodical:

Advanced Materials Research (Volumes 179-180)

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3-8

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.179-180.3

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Online since:

January 2011

Authors:

Cheng Lin Liao, Li Ye Wang, Li Fang Wang

Keywords:

Battery Management System (BMS), Battery Model, Electric Vehicle (EV), Lithium Iron Phosphate Battery, SOC Estimation

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References

[1] A.K. Padhi, K.S. Nanjundaswamy, J.B. Goodenough, Phospho-olivines as positive-electrode materials for rechargeable lithium batteries, Journal of Electrochem Soc, 1997, 144(4): 1188.

DOI: 10.1149/1.1837571

Google Scholar

[2] J. Li, Y. Zheng, D. Li, H. Huang, G. Lai, Preparaiton and its electrochemical properties of high capacity lithium iron phosphate, Material Review, Vol. 22, No. 4, 2008. 4.

Google Scholar

[3] B. Zhang, C. Lin, Q. Chen, Performance of LiFePO4/C Li-ion battery for electric vehicle, Chinese Journal of Power Source, Vol. 32, No. 4, 2008. 2.

Google Scholar

[4] N. Martinez, BYD China looking to build Euro hybrids by 2010, Motor Trend, 2008. 4.

Google Scholar

[5] Chenglin Liao, Huijun Li, and Lifang Wang A Dynamic Equivalent Circuit Model of LiFePO4 Cathode Material for Lithium Ion Batteries on Hybrid Electric Vehicle. VPPC '09, pp.1662-1665, 2009, 5th IEEE Vehicle Power and Propulsion Conference.

DOI: 10.1109/vppc.2009.5289681

Google Scholar

[6] Huijun Li, Chenglin Liao, Lifang Wang. Research on State-of-Charge estimation of battery pack used on hybrid electric vehicle. Institute of electrical engineering. APPEEC 2009 - Proceedings, 2009, 2009 Asia-Pacific Power and Energy Engineering Conference.

DOI: 10.1109/appeec.2009.4918709

Google Scholar