Battery Capacity Consumption Research Articles

Dynamic Voltage Scaling Algorithm for Battery Powered System with Discrete Voltages

Battery lifetime has become one of the key control parameter of mobile devices design. Maximizing battery lifetime is a difficult task because of both the nonlinear for battery capacity consumption and the correlation between capacity consumption and battery load. In this paper we address the problem how Dynamic Voltage Scaling (DVS) policy optimizes battery utilization according to battery discharge characteristic for the discrete voltage systems. We analyze the battery discharge characteristic and find that the whole battery discharge takes on a linear discharge phase and a nonlinear discharge phase successively. The proposed DVS policy utilizes different methods to generate the voltage schedule during the different discharge phases. Simulation results show that the policy can effectively reduce battery capacity consumption and increase the workload performed during the battery lifetime.

A Voltage Control Algorithm for Multiprocessor System Based on the Lithium Battery Discharge Characteristics

The more and more extensive application of multiprocessor system to mobile devices has been achieved. The battery-aware voltage scaling algorithm for multiprocessor system was addressed in order to minimize the battery capacity consumption. The proposed algorithm generated task schedule by task assignment, discharge judgment and slack allocation. Based on the characteristic that the battery discharge could be divided into linear discharge and nonlinear discharge two phases, the slack was distributed by different manners during different discharge phases. The simulation results show that battery capacity consumption for the algorithm has relations with battery nonlinearity.

Slack Distribution for the Battery Aware Dynamic Voltage Scaling Policy

Battery lifetime is a critical design parameter in the operation of mobile computing devices. Maximizing the battery lifetime is a particularly difficult problem due to the nonlinearity of the battery discharge behavior and its dependence on the discharge profile. In this paper, we address the problem how battery aware dynamic voltage scaling policy optimizes the battery capacity consumption. We propose the procedure of slack distribution optimization to reduce the battery capacity consumption by distributing the slack optimally for the schedules generated by the existing battery aware DVS policies, and analysis the properties of the procedure. The experiment results show that the proposed procedure can further safe battery capacity consumption evidently.