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Thermal-aware drone battery management: late breaking results

Published: 23 August 2022 Publication History

Abstract

Users have reported that their drones unexpectedly shutoff even when they show more than 10% remaining battery capacity. We discovered that the causes of these unexpected shutoffs to be significant thermal degradation of a cell caused by thermal coupling between the drones and their battery cells. This causes a large voltage drop for the cell affected by the drone heat dissipation, which leads to low supply voltage and unexpected shutoffs. This paper describes the design and implementation of a thermal and battery-aware power management framework designed specifically for drones. Our framework provides an accurate state-of-charge and state-of-power estimation for individual battery cells by accounting for their different thermal degradation. We have implemented our framework on commodity drones without additional hardware or system modification. We have evaluated its effectiveness using three different batteries demonstrating our framework generates accurate state-of-charge and prevents unexpected shutoffs.

References

[1]
Jiwon Kim, Yonghun Choi, Seunghyeok Jeon, Jaeyun Kang, and Hojung Cha. 2020. Optrone: Maximizing Performance and Energy Resources of Drone Batteries. IEEE TCAD 39, 11 (2020), 3931--3943.
[2]
Douglas Lee. 2018. Status Report on High Energy Density Batteries Project. Technical Report. US Consumer Product Safety Commission.
[3]
Feng Leng, Cher Ming Tan, and Michael Pecht. 2015. Effect of temperature on the aging rate of Li ion battery operating above room temperature. Scientific reports 5, 1 (2015), 1--12.

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cover image ACM Conferences
DAC '22: Proceedings of the 59th ACM/IEEE Design Automation Conference
July 2022
1462 pages
ISBN:9781450391429
DOI:10.1145/3489517
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 23 August 2022

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DAC '22
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DAC '22: 59th ACM/IEEE Design Automation Conference
July 10 - 14, 2022
California, San Francisco

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Overall Acceptance Rate 1,770 of 5,499 submissions, 32%

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