Characterizing Smartphone Power Management in the Wild

TL;DR

This paper analyzes a large dataset of smartphone battery data to understand charging behaviors, battery properties, and power management systems across diverse devices and user habits.

Contribution

It provides a comprehensive characterization of smartphone power management and charging behaviors using real-world data from 30,000 devices.

Findings

Diverse charging behaviors observed across devices.

Insights into battery health and charging efficiency.

Variability in power management system components.

Abstract

For better reliability and prolonged battery life, it is important that users and vendors understand the quality of charging and the performance of smartphone batteries. Considering the diverse set of devices and user behavior it is a challenge. In this work, we analyze a large collection of battery analytics dataset collected from 30K devices of 1.5K unique smartphone models. We analyze their battery properties and state of charge while charging, and reveal the characteristics of different components of their power management systems: charging mechanisms, state of charge estimation techniques, and their battery properties. We explore diverse charging behavior of devices and their users.