| 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 |
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Dec 12, 2022
CON-Patent
United States
11,763,742
Sep 19, 2023
May 28, 2022
Utility Patent
United States
11,532,271
Dec 20, 2022
Jun 20, 2021
Provisional-Patent
United States
(None)
(None)
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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 |
