A System Context-Aware Approach for Battery Lifetime Prediction in Smart Phones

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Executive Summary

Energy is a bottleneck in smart phone systems, and knowing the status of the battery lifetime and being able to use it efficiently is an important requirement from users. The authors propose a system context-aware approach for predicting battery lifetime, which allows a user to know the accurate battery status and to utilize the power efficiently. They refer to a collection of system component states as system context and model the quantitative relation between system context attributes and the battery discharge rate by multiple linear regressions. When the user changes applications or operations, they can dynamically predict the remaining battery lifetime as well as its variations by monitoring system context attributes.

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