Smartphones' surface temperature, also called skin temperature, can rapidly heat up in certain cases, and this causes a variety of safety problems. Therefore, the thermal management of smartphones should consider the skin temperature, and its accurate prediction is important. However, due to the complicated relationship among the many exothermic components in the device, predicting skin temperature is extremely difficult. In this paper, we develop a thermal prediction model that accurately predicts the skin temperature of a mobile device. In an experiment with smartphones, we show that the proposed model achieves an accuracy of 98%, with a ±0.4 °C margin of error. To the best of our knowledge, our work is the first to reveal the complex relationship between the various components inside of a smartphone and its skin temperature.
|Title of host publication||Proceedings of the 2018 Design, Automation and Test in Europe Conference and Exhibition, DATE 2018|
|Publisher||Institute of Electrical and Electronics Engineers Inc.|
|Number of pages||4|
|Publication status||Published - 2018 Apr 19|
|Event||2018 Design, Automation and Test in Europe Conference and Exhibition, DATE 2018 - Dresden, Germany|
Duration: 2018 Mar 19 → 2018 Mar 23
|Name||Proceedings of the 2018 Design, Automation and Test in Europe Conference and Exhibition, DATE 2018|
|Other||2018 Design, Automation and Test in Europe Conference and Exhibition, DATE 2018|
|Period||18/3/19 → 18/3/23|
Bibliographical notePublisher Copyright:
© 2018 EDAA.
All Science Journal Classification (ASJC) codes
- Safety, Risk, Reliability and Quality
- Hardware and Architecture
- Information Systems and Management