Research And Design On Power Management Key-Technology Of Android Platform

Today,with the rapid development of information technology,the smart phone based on the Android platform,has become more and more popular,and has been imperceptibly integrated into all aspects of modern social life.Due to the limitation of Android phone's appearance,volume,heat and other elements such as certain requirements for its system performance,Android intelligent mobile phone battery life span can be relatively too short to meet people's needs.To some extent,the effective power management of the can improve Android phone's life span.Therefore,based on the Android platform,this thesis proposes a method to reduce the power consumption and the number of queries for temperature mapping tables by means of replacing time complexity by space complexity.The main research work includes the following aspects:1.In order to solve the problem of high power consumption in CPU,this thesis analyzes the power source of CMOS integrated circuit in embedded equipment,including dynamic power consumption and static power consumption.At the same time,it introduces the Linux power management strategy and the key technology of low power consumption DVFS.Power management has different components in which the effective power is allocated to the system.This thesis through the effective power management Policy,reduces the CPU power consumption.2.As for high power consumption of mobile phone Android,this thesis,combined with the Android dynamic power management DVFS technology,proposes an optimized fine CPU FM low power XL algorithm,which dynamically adjusts the frequency of CPU and reduces the power consumption of the mobile phone Android.The experimental results show that compared with non-optimized power consumption,the low power LHF algorithm can reduce the power consumption by 4.22% in the mobile video recording.The low power XL algorithm proposed in this thesis is lower than the non-optimized power consumption by 5.04%.Therefore,the low power XL algorithm is lower than the low-power LHF algorithm by 0.82% and this further improves the endurance of Android mobile phone.3.In order to solve the problem of searching time complexity in Android system temperature mapping table,this thesis analyzes the principle of temperature searching in Android.Based on the Intel platform,it presents an optimized temperature lookup algorithm and carries out an experiment based on power management unit of Intelplatform and related test tools.The experimental results show that,although the space complexity is increased,the number of lookup table for temperature mapping is reduced by 60%,thus accelerating the efficiency of the system.