Proceedings of the 13th international symposium on Low power electronics and design
Energy budget approximations for battery-powered systems with a fixed schedule of active intervals
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
Enabling power-efficient DVFS operations on silicon
IEEE Circuits and Systems Magazine
Maximum power transfer tracking for a photovoltaic-supercapacitor energy system
Proceedings of the 16th ACM/IEEE international symposium on Low power electronics and design
Hybrid electrical energy storage systems
Proceedings of the 16th ACM/IEEE international symposium on Low power electronics and design
System energy minimization via joint optimization of the DC-DC converter and the core
Proceedings of the 17th IEEE/ACM international symposium on Low-power electronics and design
Charge migration efficiency optimization in hybrid electrical energy storage (HEES) systems
Proceedings of the 17th IEEE/ACM international symposium on Low-power electronics and design
Charge allocation for hybrid electrical energy storage systems
CODES+ISSS '11 Proceedings of the seventh IEEE/ACM/IFIP international conference on Hardware/software codesign and system synthesis
Balanced reconfiguration of storage banks in a hybrid electrical energy storage system
Proceedings of the International Conference on Computer-Aided Design
Networked architecture for hybrid electrical energy storage systems
Proceedings of the 49th Annual Design Automation Conference
Power conversion efficiency characterization and optimization for smartphones
Proceedings of the 2012 ACM/IEEE international symposium on Low power electronics and design
Battery management for grid-connected PV systems with a battery
Proceedings of the 2012 ACM/IEEE international symposium on Low power electronics and design
Proceedings of the International Conference on Computer-Aided Design
Efficient power management for wireless sensor node with wind energy harvesting
International Journal of Sensor Networks
Improving charging efficiency with workload scheduling in energy harvesting embedded systems
Proceedings of the 50th Annual Design Automation Conference
Hybrid energy storage systems and battery management for electric vehicles
Proceedings of the 50th Annual Design Automation Conference
DATE '12 Proceedings of the Conference on Design, Automation and Test in Europe
State of health aware charge management in hybrid electrical energy storage systems
DATE '12 Proceedings of the Conference on Design, Automation and Test in Europe
Computer-aided design of electrical energy systems
Proceedings of the International Conference on Computer-Aided Design
| Hi-index | 0.03 |
Most digital systems are equipped with dc-dc converters to supply various levels of voltages from batteries to logic devices. DC-DC converters maintain legal voltage ranges regardless of the load current variation as well as battery voltage drop. Although the efficiency of dc-dc converters is changed by the output voltage level and the load current, most existing power management techniques simply ignore the efficiency variation of dc-dc converters. However, without a careful consideration of the efficiency variation of dc-dc converters, finding a true optimal power management will be impossible. In this paper, we solve the problem of energy minimization with the consideration of the characteristics of power consumption of dc-dc converters. Specifically, the contributions of our work are as follows: 1) We analyze the effects of the efficiency variation of dc-dc converters on a single-task execution in dynamic voltage scaling (DVS) scheme and propose the technique for dc-dc converter-aware energy-minimal DVS. 2) is then extended to embed an awareness of the characteristics of dc-dc converters in general DVS techniques for multiple tasks. 3) We go on to propose a technique called for generating a dc-dc converter that is most energy efficient for a particular application. 4) We also present an integrated framework, i.e., , based on and , which addresses dc-dc converter configuration and DVS simultaneously. Experimental results show that is able to save up to 24.8% of energy compared with previous power management schemes, which do not consider the efficiency variation of dc-dc converters.