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Online Prediction of Battery Lifetime for Embedded and Mobile Devices
[chapter]
2005
Lecture Notes in Computer Science
This paper presents a novel, history-based, statistical technique for online battery lifetime prediction. The approach first takes a one-time, full cycle, voltage measurement of a constant load, and uses it to transform the partial voltage curve of the current workload into a form with robust predictability. Based on the transformed history curve, we apply a statistical method to make a lifetime prediction. We investigate the performance of the implementation of our approach on a widely used
doi:10.1007/978-3-540-28641-7_5
fatcat:53kudzpktnb3dp4lfcvdhlnxmq