Simulation Technique for Optimizing AC System Sizing & Cabin Cooling Performance for Customer Comfort

2023-28-0011

09/14/2023

Event
SAENIS TTTMS Thermal Management Systems Conference-2023
Authors Abstract
Content
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.
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.
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.
Therefore, it is important to link AC system with existing co-simulation methods.
This paper explains that, how the AC system is connected to existing co-simulation model and carryout the real-time cabin cooling simulation.
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.
Meta TagsDetails
DOI
https://doi.org/10.4271/2023-28-0011
Pages
4
Citation
Bhangale, S., Umbarkar, S., Kumar, M., Saha, A. et al., "Simulation Technique for Optimizing AC System Sizing & Cabin Cooling Performance for Customer Comfort," SAE Technical Paper 2023-28-0011, 2023, https://doi.org/10.4271/2023-28-0011.
Additional Details
Publisher
Published
Sep 14, 2023
Product Code
2023-28-0011
Content Type
Technical Paper
Language
English