TY - GEN
T1 - MixMax
T2 - 21st Annual International Conference on Mobile Systems, Applications and Services, MobiSys 2023
AU - Kwak, Jaeheon
AU - Lee, Sunjae
AU - Jeong, Dae R.
AU - Kumar, Arjun
AU - Shin, Dongjae
AU - Kim, Ilju
AU - Shin, Donghwa
AU - Lee, Kilho
AU - Lee, Jinkyu
AU - Shin, Insik
N1 - Publisher Copyright:
© 2023 Owner/Author(s).
PY - 2023/6/18
Y1 - 2023/6/18
N2 - Despite the physical advance of an existing single-cell battery system, mobile users are still suffering from low battery anxiety. With a careful analysis of users' battery usage behavior collected for 19,855 hours, we propose a heterogeneous battery system, MixMax, consisting of three complementary battery types tailored to minimizing the low battery time. While composing a heterogeneous battery system opens up a chance to simultaneously improve the capacity and the charging speed, one must face non-trivial challenges to determine the ratio of enclosed batteries and charge/discharge policies during the run-time. They are highly dependent on each other, which entails almost infinite candidates for the choice. MixMax gracefully unwinds the dependencies as it formulates the decision-making problem into an optimization problem and decomposes it into multiple sub-problems instead. To evaluate MixMax, we fabricate coin-cell batteries and experiment with them to model an accurate battery emulator which sophisticatedly reproduces the dynamics of battery systems. Our experimental results demonstrate that MixMax can reduce the low battery time by up to 24.6% without compromising capacity, volume, weight, and more importantly, users' battery usage behavior. In addition, we prototype MixMax on a smartphone, presenting the practicality of MixMax on mobile systems.
AB - Despite the physical advance of an existing single-cell battery system, mobile users are still suffering from low battery anxiety. With a careful analysis of users' battery usage behavior collected for 19,855 hours, we propose a heterogeneous battery system, MixMax, consisting of three complementary battery types tailored to minimizing the low battery time. While composing a heterogeneous battery system opens up a chance to simultaneously improve the capacity and the charging speed, one must face non-trivial challenges to determine the ratio of enclosed batteries and charge/discharge policies during the run-time. They are highly dependent on each other, which entails almost infinite candidates for the choice. MixMax gracefully unwinds the dependencies as it formulates the decision-making problem into an optimization problem and decomposes it into multiple sub-problems instead. To evaluate MixMax, we fabricate coin-cell batteries and experiment with them to model an accurate battery emulator which sophisticatedly reproduces the dynamics of battery systems. Our experimental results demonstrate that MixMax can reduce the low battery time by up to 24.6% without compromising capacity, volume, weight, and more importantly, users' battery usage behavior. In addition, we prototype MixMax on a smartphone, presenting the practicality of MixMax on mobile systems.
KW - heterogeneous battery systems
KW - low battery anxiety
KW - mobile devices
UR - https://www.scopus.com/pages/publications/85169425553
U2 - 10.1145/3581791.3596843
DO - 10.1145/3581791.3596843
M3 - Conference contribution
AN - SCOPUS:85169425553
T3 - MobiSys 2023 - Proceedings of the 21st Annual International Conference on Mobile Systems, Applications and Services
SP - 247
EP - 260
BT - MobiSys 2023 - Proceedings of the 21st Annual International Conference on Mobile Systems, Applications and Services
PB - Association for Computing Machinery, Inc
Y2 - 18 June 2023 through 22 June 2023
ER -