BatterySense

Research Projects Publications Visits Software Services Awards Collections

BatterySense

The aim of this project is to investigate the performance of smartphone power management techniques. The power management consists of three components; charging controller, fuel gauge, and the battery pack. The performance of charging controller lies on how the devices charge their batteries and the consequence of such charging on battery life. I am actively working on this project. We combine smartphone battery analytics data from Carat data set with practical measurements. Thanks to the Carat team for sharing their data set. We are working on data-driven methods to estimate the battery capacity loss, charging performance of the device and user, performance of the fuel gauges in estimate SOC. The methods for are coming user applications. For mobile vendors we are working on APIs on top of Spark to understand the performance of the power management system of their mobile devices.
  1. [arXiv] Mohammad A. Hoque, Matti Siekkinen, Jonghoe Koo, and Sasu Tarkoma. Accurate Online Full Charge Capacity Modeling of Smartphone Batteries. Jun 2016.
  2. [ACM DL] [pdf] Mohammad A. Hoque and Sasu Tarkoma. Characterizing Smartphone Power Management in the Wild. To appear in the 7th International Workshop on Hot Topics in Planet-Scale Measurement, HotPlanet ’16.
  3. [ACM DL] [pdf] Mohammad A. Hoque, Sasu Tarkoma Sudden drop in the battery level?: understanding smartphone state of charge anomaly. ACM SIGOPS Oper. Syst. Rev. 49, 2 (January 2016), 70-74.
  4. This is a review article that sheds light on existing methods to profile, model, and debug the energy consumption of mobile devices.

    [ACM DL] [pdf] Mohammad Ashraful Hoque, Matti Siekkinen, Kashif Nizam Khan, Yu Xiao, Sasu Tarkoma. Modeling, Profiling, and Debugging the Energy Consumption of Mobile Devices. ACM Comput. Surv. 48, 3, Article 39 (December 2015), 40 pages.
  5. This paper investiagtes the performance of smartphones in their SOC estiamtion as the full charge capacity (FCC) of their batteries decrease. The battery voltage behaves differently when the FCC decreases while charging. The SOC anomaly or SOC correction increases while dscharging as the full charge capacity decreases.

    [ACM DL] [pdf] Mohammad A. Hoque, Sasu Tarkoma Sudden drop in the battery level?: understanding smartphone state of charge anomaly. In Proceedings of the Workshop on Power-Aware Computing and Systems - HotPower, September 2015. (One of the best papers to appear in ACM Oprt. Sys. Rev.)

Master Thesis

  1. Javad Sadeqzadeh Boroujeni, Modeling Smartphone Battery Temperature