Summary
Assessment of discharge ohm internal resistance (DOR) is a critical step for the battery thermal management system. However, the influence of various variables on DOR makes it challenging to develop a reliable and dependable model. Therefore, an approach for estimating DOR that relies on single‐factor (temperature) is developed by employing cubic polynomial and exponential fitting functions. First, the SoC range is divided into two segments: 0.3‐0.6 and 0.6‐0.9 according to the mathematical relationship between DOR and SoC. To emphasize temperature as the sole element to determine DOR and to simplify the coupling impact of many variables in each SOC segment. Additionally, the established models of two segments are used to estimate DOR at 5°C, 25°C, 35°C, 45°C, and 55°C, and to predict the DOR at 15°C. Finally, the model in SoC = 0.6‐0.9 is used for SoC = 1. The DOR estimation error is less than 3 mΩ. When the fitting models at the discharge rate of 1 C are transferred to predict the DOR at 0.75 C and 1.25 C, the maximum error is only 4.39 mΩ. The results show that the proposed method for estimating DOR has a high degree of generalizability and accuracy, making it adaptable to dynamic settings with varying temperatures.
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