{"title":"手机nomenon 2.0:一款适用于智能手机的紧凑型散热机型","authors":"Yu-Min Lee, Hong-Wen Chiou, Shinyu Shiau, Chi-Wen Pan, Shih-Hung Ting","doi":"10.1049/cdt2.12052","DOIUrl":null,"url":null,"abstract":"<p>This paper presents a compact thermal model for smartphones, Phone-nomenon 2.0, to predict the thermal behavior of smartphones. In the beginning, non-linearities of internal and external heat transfer mechanisms of smartphones and a compact thermal model for these non-linearities have been studied and proposed. Then, an iterative simulation procedure to handle these non-linearities was developed, and the basic simulation framework which is one option in Phone-nomenon 2.0 was established and we call it Phone-nomenon.Iter. Finally, the linearisation approach was applied, and model order reduction techniques to enhance and speed up the basic framework were employed, and these two options Phone-nomenon.Lin and Phone-nomenon.LinMOR were named. Compared with a commercial tool, ANSYS Icepak, Phone-nomenon.Iter can achieve two orders of magnitude speedup with the maximum error being less than 1.90% for steady-state simulations and three orders of magnitude speedup with the temperature difference being less than 0.65°C for transient simulations. In addition, the speedup of Phone-nomenon.Lin over Phone-nomenon.Iter can be at least 4.22× and 3.26× for steady-state and transient simulations, respectively. Moreover, the speedup of Phone-nomenon.LinMOR over Phone-nomenon.Lin is at least 2.57×.</p>","PeriodicalId":50383,"journal":{"name":"IET Computers and Digital Techniques","volume":"17 2","pages":"43-59"},"PeriodicalIF":1.1000,"publicationDate":"2023-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/cdt2.12052","citationCount":"0","resultStr":"{\"title\":\"Phone-nomenon 2.0: A compact thermal model for smartphones\",\"authors\":\"Yu-Min Lee, Hong-Wen Chiou, Shinyu Shiau, Chi-Wen Pan, Shih-Hung Ting\",\"doi\":\"10.1049/cdt2.12052\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>This paper presents a compact thermal model for smartphones, Phone-nomenon 2.0, to predict the thermal behavior of smartphones. In the beginning, non-linearities of internal and external heat transfer mechanisms of smartphones and a compact thermal model for these non-linearities have been studied and proposed. Then, an iterative simulation procedure to handle these non-linearities was developed, and the basic simulation framework which is one option in Phone-nomenon 2.0 was established and we call it Phone-nomenon.Iter. Finally, the linearisation approach was applied, and model order reduction techniques to enhance and speed up the basic framework were employed, and these two options Phone-nomenon.Lin and Phone-nomenon.LinMOR were named. Compared with a commercial tool, ANSYS Icepak, Phone-nomenon.Iter can achieve two orders of magnitude speedup with the maximum error being less than 1.90% for steady-state simulations and three orders of magnitude speedup with the temperature difference being less than 0.65°C for transient simulations. In addition, the speedup of Phone-nomenon.Lin over Phone-nomenon.Iter can be at least 4.22× and 3.26× for steady-state and transient simulations, respectively. Moreover, the speedup of Phone-nomenon.LinMOR over Phone-nomenon.Lin is at least 2.57×.</p>\",\"PeriodicalId\":50383,\"journal\":{\"name\":\"IET Computers and Digital Techniques\",\"volume\":\"17 2\",\"pages\":\"43-59\"},\"PeriodicalIF\":1.1000,\"publicationDate\":\"2023-01-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://onlinelibrary.wiley.com/doi/epdf/10.1049/cdt2.12052\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IET Computers and Digital Techniques\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1049/cdt2.12052\",\"RegionNum\":4,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"COMPUTER SCIENCE, HARDWARE & ARCHITECTURE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IET Computers and Digital Techniques","FirstCategoryId":"94","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1049/cdt2.12052","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"COMPUTER SCIENCE, HARDWARE & ARCHITECTURE","Score":null,"Total":0}
Phone-nomenon 2.0: A compact thermal model for smartphones
This paper presents a compact thermal model for smartphones, Phone-nomenon 2.0, to predict the thermal behavior of smartphones. In the beginning, non-linearities of internal and external heat transfer mechanisms of smartphones and a compact thermal model for these non-linearities have been studied and proposed. Then, an iterative simulation procedure to handle these non-linearities was developed, and the basic simulation framework which is one option in Phone-nomenon 2.0 was established and we call it Phone-nomenon.Iter. Finally, the linearisation approach was applied, and model order reduction techniques to enhance and speed up the basic framework were employed, and these two options Phone-nomenon.Lin and Phone-nomenon.LinMOR were named. Compared with a commercial tool, ANSYS Icepak, Phone-nomenon.Iter can achieve two orders of magnitude speedup with the maximum error being less than 1.90% for steady-state simulations and three orders of magnitude speedup with the temperature difference being less than 0.65°C for transient simulations. In addition, the speedup of Phone-nomenon.Lin over Phone-nomenon.Iter can be at least 4.22× and 3.26× for steady-state and transient simulations, respectively. Moreover, the speedup of Phone-nomenon.LinMOR over Phone-nomenon.Lin is at least 2.57×.
期刊介绍:
IET Computers & Digital Techniques publishes technical papers describing recent research and development work in all aspects of digital system-on-chip design and test of electronic and embedded systems, including the development of design automation tools (methodologies, algorithms and architectures). Papers based on the problems associated with the scaling down of CMOS technology are particularly welcome. It is aimed at researchers, engineers and educators in the fields of computer and digital systems design and test.
The key subject areas of interest are:
Design Methods and Tools: CAD/EDA tools, hardware description languages, high-level and architectural synthesis, hardware/software co-design, platform-based design, 3D stacking and circuit design, system on-chip architectures and IP cores, embedded systems, logic synthesis, low-power design and power optimisation.
Simulation, Test and Validation: electrical and timing simulation, simulation based verification, hardware/software co-simulation and validation, mixed-domain technology modelling and simulation, post-silicon validation, power analysis and estimation, interconnect modelling and signal integrity analysis, hardware trust and security, design-for-testability, embedded core testing, system-on-chip testing, on-line testing, automatic test generation and delay testing, low-power testing, reliability, fault modelling and fault tolerance.
Processor and System Architectures: many-core systems, general-purpose and application specific processors, computational arithmetic for DSP applications, arithmetic and logic units, cache memories, memory management, co-processors and accelerators, systems and networks on chip, embedded cores, platforms, multiprocessors, distributed systems, communication protocols and low-power issues.
Configurable Computing: embedded cores, FPGAs, rapid prototyping, adaptive computing, evolvable and statically and dynamically reconfigurable and reprogrammable systems, reconfigurable hardware.
Design for variability, power and aging: design methods for variability, power and aging aware design, memories, FPGAs, IP components, 3D stacking, energy harvesting.
Case Studies: emerging applications, applications in industrial designs, and design frameworks.