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| Content Provider | ACM Digital Library |
|---|---|
| Author | Chiueh, Tzi-cker Ling, Welkin Liang, Shih-Hao |
| Abstract | Prevalent battery management approaches for mobile devices treated a battery's residual capacity as a given budget and tried to make the best of this budget by turning off lower-priority tasks. In contrast, the research reported in this paper aims to maximize the quantitative value of a battery's residual capacity by operating the battery according to its discharge characteristic curves (DCC), which describes a battery's discharging dynamics in terms of the correlation among its voltage level, capacity and discharging current. According to the DCC theory, it is possible to increase a battery's effective capacity in terms of Ampere hours by capping the discharging current in a certain way after its capacity falls below a threshold. This paper describes a DCC-based Battery Discharging (or DBD) technique that is capable of automatically deriving a battery's DCC, using the DCC to determine a suitable instantaneous discharge current budget, and limiting the total discharge current under that budget. Measurements on an operational prototype show that DBD is capable of extending a battery's residual capacity by more than 20% after its SOC is reduced to 30%. |
| Starting Page | 1 |
| Ending Page | 6 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781450335546 |
| DOI | 10.1145/2797022.2797035 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2015-07-27 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Content Type | Text |
| Resource Type | Article |
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