Software and Methods for Accurately Estimating the Power Draw of OLED Displays

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2021-HU-69505
Researchers at Purdue University have developed a novel method and software for accurate power draw estimation of OLED displays of mobile devices. Current systems use linear regression of all RGB values which has power modeling error up to 22%. This novel method can more accurately model power draw and reduce the modeling error to below 4%. This technology has applications as both a background app running on the user's device to generate more accurate per-app battery life estimates as well as during app development to help app developers ensure power efficiency in their app designs.

Technology Validation:
This technology has been integrated into the open-source version of Android Battery and tested on various modern smartphones.

Advantages
-Compatible with software capable of running on millions of mobile devices
-Accurately displays power draw estimation, within 4%

Applications :
-App UI Development (e.g. dark mode design)
-Built-in per-app battery drain monitoring and accounting in mobile platforms (e.g. Android, iOS)
-Mobile Device battery management
Jun 20, 2021
Provisional-Patent
United States
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Purdue Office of Technology Commercialization
The Convergence Center
101 Foundry Drive, Suite 2500
West Lafayette, IN 47906

Phone: (765) 588-3475
Fax: (765) 463-3486
Email: otcip@prf.org