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Experimental and simulated temperature variations in a LiFePO4-20Ah battery during discharge process

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  • Panchal, S.
  • Dincer, I.
  • Agelin-Chaab, M.
  • Fraser, R.
  • Fowler, M.

Abstract

The present study investigates the impact of various discharge rates on the thermal (temperature and heat generation profiles) and electrical performance of the Li-ion battery for electric vehicles and hybrid electric vehicles. For this, a prismatic Li-ion phosphate (LiFePO4) battery with 20Ah capacity is tested under constant current discharge rates of C/10, C/5, C/2, 1C, 2C, 3C, and 4C and surface temperatures and voltage distributions during both charging and discharging are measured. In addition, IR images were also captured during experiments with a Flir Therma CAM S60 IR camera at various discharge rates and are reported in this study. Furthermore, a thermal model is created and validated for a particular battery using a MATLAB Simulink in terms of temperature, voltage, heat generation, and internal resistance. The results of this study demonstrate that the increased C-rates from C/10 to 4C result in increased temperatures on the principal surface of the battery. Also, at the lower discharge rates (below 1C), the surface temperature remains close to the ambient temperature, but at higher discharge rates (above 1C); the surface temperature quickly increases for all C-rates. The most noteworthy surface temperature distribution is observed to be 58.1°C towards the end of 4C discharge.

Suggested Citation

  • Panchal, S. & Dincer, I. & Agelin-Chaab, M. & Fraser, R. & Fowler, M., 2016. "Experimental and simulated temperature variations in a LiFePO4-20Ah battery during discharge process," Applied Energy, Elsevier, vol. 180(C), pages 504-515.
    • Handle: RePEc:eee:appene:v:180:y:2016:i:c:p:504-515
    DOI: 10.1016/j.apenergy.2016.08.008
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    References listed on IDEAS

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    Cited by:

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    3. Vepsäläinen, Jari & Otto, Kevin & Lajunen, Antti & Tammi, Kari, 2019. "Computationally efficient model for energy demand prediction of electric city bus in varying operating conditions," Energy, Elsevier, vol. 169(C), pages 433-443.
    4. Xiangyu Cui & Zhu Jing & Maji Luo & Yazhou Guo & Huimin Qiao, 2018. "A New Method for State of Charge Estimation of Lithium-Ion Batteries Using Square Root Cubature Kalman Filter," Energies, MDPI, vol. 11(1), pages 1-21, January.
    5. Jan Kleiner & Lidiya Komsiyska & Gordon Elger & Christian Endisch, 2019. "Thermal Modelling of a Prismatic Lithium-Ion Cell in a Battery Electric Vehicle Environment: Influences of the Experimental Validation Setup," Energies, MDPI, vol. 13(1), pages 1-18, December.
    6. Hartmut Popp & Gregor Glanz & Karoline Alten & Irina Gocheva & Wernfried Berghold & Alexander Bergmann, 2018. "Mechanical Frequency Response Analysis of Lithium-Ion Batteries to Disclose Operational Parameters," Energies, MDPI, vol. 11(3), pages 1-13, March.
    7. Jianxun Zhang & Xiao He & Xiaosheng Si & Changhua Hu & Donghua Zhou, 2017. "A Novel Multi-Phase Stochastic Model for Lithium-Ion Batteries’ Degradation with Regeneration Phenomena," Energies, MDPI, vol. 10(11), pages 1-24, October.
    8. Gianluca Brando & Adolfo Dannier & Ivan Spina & Pietro Tricoli, 2017. "Integrated BMS-MMC Balancing Technique Highlighted by a Novel Space-Vector Based Approach for BEVs Application," Energies, MDPI, vol. 10(10), pages 1-14, October.
    9. Gandoman, Foad H. & Jaguemont, Joris & Goutam, Shovon & Gopalakrishnan, Rahul & Firouz, Yousef & Kalogiannis, Theodoros & Omar, Noshin & Van Mierlo, Joeri, 2019. "Concept of reliability and safety assessment of lithium-ion batteries in electric vehicles: Basics, progress, and challenges," Applied Energy, Elsevier, vol. 251(C), pages 1-1.

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