首页|Study Findings from Qingdao University of Science and Technology Provide New Ins ights into Machine Learning (Performance Analysis and Prediction of Hybrid Batte ry Thermal Management System Integrating Pcm With Air Cooling Based On Machine . ..)
Study Findings from Qingdao University of Science and Technology Provide New Ins ights into Machine Learning (Performance Analysis and Prediction of Hybrid Batte ry Thermal Management System Integrating Pcm With Air Cooling Based On Machine . ..)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews - Current study results on Machine Learning have be en published. According to news reportingoriginating in Qingdao, People’s Repub lic of China, by NewsRx journalists, research stated, “Targeted ataddressing th e battery temperature concerns of rapid discharging and extreme ambient temperat ure, ahybrid battery thermal management system (BTMS) integrating phase change material (PCM) with aircooling is introduced, in which the Cantor fractal fin a nd segmented PCM block are employed to enhancethermal management capacity. Thro ugh the numerical simulation, the effects of fin parameters, fillingstrategy of segmented PCM block and airflow direction are analyzed.”
QingdaoPeople’s Republic of ChinaAsi aAlgorithmsCyborgsEmerging TechnologiesMachine LearningQingdao Univers ity of Science and Technology
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