Minyong Kim, Sungwoo Chung
Division of Computer and Communication Engineering, Korea University, Seoul 136 -713, Korea
Abstract： Most smartphones employ Li-ion (or Li-polymer) batteries as their p
ower sources. Though battery consumption significantly varies along with the cel l temperature, which is severely affected by ambient temperature, many studies s imply assume that the cell temperature is equal to room temperature. Furthermore , there has not been any study that has quantitatively analysed the impact of am bient temperature on battery consumption. In this paper, it can be shown that lo w ambient temperature significantly affects battery consumption of a smartphone. To show the impact of the cell temperature on battery consumption, the battery
consumption at low ambient temperature (-20 ℃) is compared with that at room t emperature. As a result, high power consumption results in more severe battery c onsumption at low ambient temperature. Real measurements show that the battery c onsumption increases by up to 113.1% at low ambient temperature in comparison wi th the same discharge condition at room temperature.
Key words： smartphone; battery; temperature
CLD number： TM911 Document code： A
Article ID： 1674-8042(2013)03-0210-04 doi： 10.3969/j.issn.1674-8042.2013.03.00 2
References
[1] Rao R, Vrudhula S, Rakhmatov D N. Battery modeling for energy aware system d esign. IEEE Computer, 2003, 36(12): 77-87.
[2] Rong P, Pedram M. An analytical model for predicting the remaining battery c apacity of lithium-ion batteries. IEEE Transactions on Very Large Scale Integrat ion Systems, 2003, 14(5): 441-451.
[3] Jongerden M, Mereacre A, Bohenkamp H, et al. Computing optimal schedules of battery usage in embedded systems. IEEE Transactions on Industrial Informatics, 2010, 6(3): 276-286.
[4] Rao R, Vrudhula S, Chang N. Battery optimization vs. energy optimization: wh ich to choose and when? In: Proceedings of IEEE/ACM International Conference on Computer-Aided Design, 2005: 433-495.
[5] Zahid I, Ali M A, Nassr R. Android smartphone: battery saving service. In: P roceedings of 2011 International Conference on Research and Innovation in Inform ation Systems (ICRIIS), 2011: 1-4.
[6] ZHANG Li-de, Tiwana B, QIAN Zhi-yun, et al. Accurate online power estimation and automatic battery behavior based power model generation for smartphones. In : Proceedings of the 8th IEEE/ACM/IFIP International Conference on Hardware-Soft ware Codesign and System Synthesis (CODES+ISSS’10), Scottsdale, Arizona, USA, 2 010: 105-114.
[7] Ra M R, Paek J, Sharma A B, et al. Energy-delay tradeoffs in smartphone appl ications. In: Proceedings of the 8th International Conference on Mobile Systems, Applications and Services, 2010: 255-270.
[8] Brodowski D , Golde N. Linux CPUFreq Governors. [2013-03-30]. https://www.ke rnel.org/doc/Documentation/cp u-freq/governors.txt.
[9] Maxim Integrated. MAX17040/MAX17041 compact, low-cost 1s/2s fuel gauges. [20 13-03-30]. http://datashe ets.maximintegrated.com/en/ds/MAX17040-MAX17041.pdf.
[10] Okundamiya M S, Nzeako A N. Energy storage models for optimizing renewable power applications. International Journal of Electrical and Power Engineering, 2010, 4(2): 54-65.
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