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Modeling the Effects of the Cathode Composition of a Lithium Iron Phosphate Battery on the Discharge Behavior

Author

Listed:
  • Jeongbin Lee

    (Department of Energy Systems Research, Ajou University, Suwon 443-749, Korea)

  • Jaeshin Yi

    (Department of Energy Systems Research, Ajou University, Suwon 443-749, Korea)

  • Chee Burm Shin

    (Department of Energy Systems Research, Ajou University, Suwon 443-749, Korea)

  • Seung Ho Yu

    (Advanced Battery Center, Korea Institute of Science and Technology, Seoul 136-791, Korea)

  • Won Il Cho

    (Advanced Battery Center, Korea Institute of Science and Technology, Seoul 136-791, Korea)

Abstract

This paper reports a modeling methodology to predict the effects on the discharge behavior of the cathode composition of a lithium iron phosphate (LFP) battery cell comprising a LFP cathode, a lithium metal anode, and an organic electrolyte. A one-dimensional model based on a finite element method is presented to calculate the cell voltage change of a LFP battery cell during galvanostatic discharge. To test the validity of the modeling approach, the modeling results for the variations of the cell voltage of the LFP battery as a function of time are compared with the experimental measurements during galvanostatic discharge at various discharge rates of 0.1C, 0.5C, 1.0C, and 2.0C for three different compositions of the LFP cathode. The discharge curves obtained from the model are in good agreement with the experimental measurements. On the basis of the validated modeling approach, the effects of the cathode composition on the discharge behavior of a LFP battery cell are estimated. The modeling results exhibit highly nonlinear dependencies of the discharge behavior of a LFP battery cell on the discharge C-rate and cathode composition.

Suggested Citation

  • Jeongbin Lee & Jaeshin Yi & Chee Burm Shin & Seung Ho Yu & Won Il Cho, 2013. "Modeling the Effects of the Cathode Composition of a Lithium Iron Phosphate Battery on the Discharge Behavior," Energies, MDPI, vol. 6(11), pages 1-12, October.
    • Handle: RePEc:gam:jeners:v:6:y:2013:i:11:p:5597-5608:d:29855
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    Citations

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    Cited by:

    1. Lan-Rong Dung & Hsiang-Fu Yuan & Jieh-Hwang Yen & Chien-Hua She & Ming-Han Lee, 2016. "A Lithium-Ion Battery Simulator Based on a Diffusion and Switching Overpotential Hybrid Model for Dynamic Discharging Behavior and Runtime Predictions," Energies, MDPI, vol. 9(1), pages 1-21, January.
    2. Tobias Nüesch & Alberto Cerofolini & Giorgio Mancini & Nicolò Cavina & Christopher Onder & Lino Guzzella, 2014. "Equivalent Consumption Minimization Strategy for the Control of Real Driving NOx Emissions of a Diesel Hybrid Electric Vehicle," Energies, MDPI, vol. 7(5), pages 1-31, May.
    3. Tobias Nüesch & Philipp Elbert & Michael Flankl & Christopher Onder & Lino Guzzella, 2014. "Convex Optimization for the Energy Management of Hybrid Electric Vehicles Considering Engine Start and Gearshift Costs," Energies, MDPI, vol. 7(2), pages 1-23, February.

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