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March 3, 2026Sustainability2 citationsOpen Access

Combined Experimental, Statistical and CFD Study of the Thermal–Electrical Behavior of a LiFePO4 Battery Pack Under Varying Load and Cooling Conditions

MAMohamed H. AbdelatiMMMostafa MakrahyEMEbram F. F. Mokbel

Key Points

  • Battery performance improved significantly with active cooling, reducing cell surface temperature by up to 10 °C.
  • Discharge time extended by 7–16% under specific load and cooling conditions, indicating the importance of thermal management.
  • Center composite design was utilized—13 experimental runs produced highly reliable models for temperature and discharge prediction.
  • Statistical and simulation methods validated findings, showing the potential for enhanced battery safety and efficiency.

Abstract

Thermal control represents one of the most important parameters influencing the safety and reliability of lithium-ion batteries, especially at high rates required for modern electric vehicles. The present paper investigates the thermal and electrothermal performance of a lithium iron phosphate (LiFePO4) battery pack using a combination of experimental, statistical, and numerical methods. The 8S5P module was assembled and examined under load tests of 200, 400, and 600 W with and without active air-based cooling. The findings indicate that cooling reduced cell surface temperature by up to 10 °C and extended discharge time by 7–16% under various load conditions, emphasizing the effect of thermal management on battery performance and safety. In order to more systematically investigate the impact of ambient temperature and load, a RSM study with a central composite design (CCD; 13 runs) was performed, resulting in two very significant quadratic models (R2 > 0.98) for peak temperature and discharge duration prediction. The optimum conditions are estimated at a 200 W load and an ambient temperature of 20 °C. Based on experimentally determined parameters, a finite-element simulation model was established, and its predictions agreed well with the measured results, which verified the analysis. Integrating measurements, statistical modeling, and simulation provides a tri-phase methodology to date for determining and optimizing battery performance under the electrothermal dynamics of varied environments.

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Cite This Study

Abdelati et al. (2026) studied this question.

synapsesocial.com/papers/69a75ab4c6e9836116a20dfdhttps://doi.org/10.3390/su18031279
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