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check_url/65892?article_type=b
Optimizing Battery Heat Management in Dusty Environments
November 03, 2023
check_url/65892?article_type=b
粉尘颗粒物覆盖锂离子电池组的空气热管理系统的优化
00:50 min
•
check_url/65892?article_type=b
用于评估电池组温度和气流动力学的仿真分析
04:40 min
•
check_url/65892?article_type=b
流体力学中拉丁超立方采样和自适应模拟退火在流体力学温度控制中的优化
05:10 min
•
Xiaohui Feng
,
Zhenzhe Li
,
Shujiao Pang
,
Ming Ren
,
Zhenmu Chen
1
College of Mechanical and Electrical Engineering
,
Wenzhou University
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在这里,我们提出了自适应模拟退火方法(ASAM),以优化对应于尘土飞扬的颗粒物覆盖的电池热管理系统的近似二次响应面模型(QRSM),并通过调整系统入口的气流速度组合来实现温度回落。
Article