چکیده مقاله
As the adoption of electric and hybrid electric vehicles becomes more widespread, it is essential to design and develop effective thermal regulation systems Reliable and timely efficient thermal modeling is the first step in this process To this end, this study assesses the effectiveness of the NTGK based equivalent internal resistance model in predicting the thermal response of a 65 Ah pouch type lithium ion battery from the Porsche Taycan during constant current CC charging at 1C to 3C rates The model accurately captured maximum and minimum surface temperatures with minimal deviation from the full NTGK model, while reducing computational effort by approximately 57% However, it struggled to resolve the spatial temperature distribution due to its lack of consideration for detailed electrochemical processes Overall, the NTGK based equivalent resistance model offers a computationally efficient approach for predicting bulk thermal behavior in lithium ion batteries, albeit with limitations in capturing localized thermal gradients
کلیدواژهها
نویسندگان
Yashar Fekri
Department of Mechanical Engineering, Tarbiat Modares University, Tehran, Iran
Mohammad Mahdi Heyhat
Department of Mechanical Engineering, Tarbiat Modares University, Tehran, Iran
شیوه ارجاع
Fekri, Yashar and Heyhat, Mohammad Mahdi,1404,Thermal Prediction of an Electric Vehicle Lithium-Ion Battery Based on the NTGK-Derived Equivalent Internal Resistance Model,2nd Automotive Industries Recent Advances and Future Trends,Tehran
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