Abstract
An accurate control-oriented thermal model is of extreme importance for temperature monitoring and thermal management of lithium (Li)-ion batteries in automotive and grid applications. This article, for the first time, presents a comprehensively comparative study of seven representative control-oriented thermal models for cylindrical Li-ion batteries. These models were selected from the state-of-the-art simplified models reported in the existing literature. All these models are introduced in detail. The model assumptions of physical structure, heat generation, and heat conduction are analyzed. Particle swarm optimization (PSO) algorithm is utilized to identify model parameters. Modeling fidelity is evaluated and compared using both simulation campaigns and experimental data sets of cylindrical Li-iron phosphate batteries. The sensitivity of all 1-D models to convective heat transfer coefficient (or convective heat resistance) is quantitatively analyzed, and the computational complexity of the models is compared under a real drive cycle. All the comparisons are thoroughly discussed, and useful insights are provided.
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