段落
汽车工业
班级(哲学)
尺寸
计算机科学
汽车工程
热的
模拟
工程类
航空航天工程
化学
物理
万维网
气象学
人工智能
有机化学
作者
Shekhar Bhangale,Shriganesh Umbarkar,Mukesh Kumar,Amit Saha,Sudesh Gakhar,Majid Khan
出处
期刊:SAE technical paper series
日期:2023-09-14
摘要
<div class="section abstract"><div class="htmlview paragraph">The automotive sector is evolving both globally and as well as in India. The Indian customer’s expectations from an automobile are also evolving at fast pace. This is resulting in a continuous shrinkage of the time available for vehicle development. To meet customers’ expectation of superior cabin thermal comfort it is important to predict cabin cooling performance at early stage. This can be achieved through thermal simulation.</div><div class="htmlview paragraph">Existing studies of cabin thermal simulation explained the method of co-simulation. Wherein, Input for the cabin was used a grill air temperature which was obtained from the physical test. It showed good correlation for the cabin inside air temperature with actual test.</div><div class="htmlview paragraph">However, cabin cooling performance does not only depend on cabin structure & layout but also, affected by AC system & its component level performance. AC systems and components were not considered in previous studies. As a result, replacing or modifying the AC system components does not allow us to estimate the cabin inside air temperature.</div><div class="htmlview paragraph">Therefore, it is important to link AC system with existing co-simulation methods.</div><div class="htmlview paragraph">This paper explains that, how the AC system is connected to existing co-simulation model and carryout the real-time cabin cooling simulation.</div><div class="htmlview paragraph">Revised co-simulation approach will help in the development of an effective AC system and predict cabin inside air temperature while considering the impact of AC system components on cabin cooling.</div></div>
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