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Optimizing Battery Heat Management in Dusty Environments

Optimizing Battery Heat Management in Dusty Environments

November 03, 2023

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1College of Mechanical and Electrical Engineering,Wenzhou University

概要

Here, we present the adaptive simulated annealing method (ASAM) to optimize an approximate quadratic response surface model (QRSM) corresponding to a dusty particulate matter-covered battery heat management system and fulfill the temperature drops back by adjusting the airflow velocities combination of system inlets.

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