Battery dynamics and battery degradation are complex topics, which are typically analyzed in laboratory experiments. With controlled ambient conditions and repetitive loads, insights can be drawn for specific parameters.

In the real world, however, barely any application load is simply repetitive and ambient conditions may vary strongly. To understand real-world operation and degradation, large data sets of real-world data must be analyzed. Howey states a necessity for datasets spanning years of operation in different applications across thousands to millions of cells [1]. Such large data sets are not openly available today.

With over 2 billion Android devices in use today, and most devices equipped with a lithium-ion battery and connected to the internet, the Android devices present a potential data source for Academia. In all devices, primarily the battery current, terminal voltage, and battery temperature are collected. Secondary, on-board estimations such as State of Charge and State of Health are calculated.

This talk presents an overview of sourcing battery data from Android devices and the applicability to battery research.

References

[1] Howey, David A. "Tools for battery health diagnostics and prediction." The Electrochemical Society Interface 28.1 (2019): 55.