Battery-aware power management based on Markovian decision processes
Proceedings of the 2002 IEEE/ACM international conference on Computer-aided design
Everlast: long-life, supercapacitor-operated wireless sensor node
Proceedings of the 2006 international symposium on Low power electronics and design
Photovoltaic scavenging systems: Modeling and optimization
Microelectronics Journal
Design of a solar-harvesting circuit for batteryless embedded systems
IEEE Transactions on Circuits and Systems Part I: Regular Papers
DC–DC Converter-Aware Power Management for Low-Power Embedded Systems
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
Hybrid electrical energy storage systems
Proceedings of the 16th ACM/IEEE international symposium on Low power electronics and design
Versatile high-fidelity photovoltaic module emulation system
Proceedings of the 17th IEEE/ACM international symposium on Low-power electronics and design
Energy harvesting by sweeping voltage-escalated charging of a reconfigurable supercapacitor array
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
Proceedings of the 49th Annual Design Automation Conference
Networked architecture for hybrid electrical energy storage systems
Proceedings of the 49th Annual Design Automation Conference
Dynamic reconfiguration of photovoltaic energy harvesting system in hybrid electric vehicles
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 2012 ACM/IEEE international symposium on Low power electronics and design
Online fault detection and tolerance for photovoltaic energy harvesting systems
Proceedings of the International Conference on Computer-Aided Design
Proceedings of the Conference on Design, Automation and Test in Europe
Hybrid energy storage systems and battery management for electric vehicles
Proceedings of the 50th Annual Design Automation Conference
Embedded systems and software challenges in electric vehicles
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 | 0.00 |
It is important to maintain high efficiency when charging electrical energy storage elements so as to achieve holistic optimization from an energy generation source (e.g., a solar cell array) to an energy storage element (e.g., a supercapacitor bank). Previous maximum power point tracking (MPPT) methods do not consider the fact that efficiency of the charger varies depending on the power output level of the energy generation source and the state of charge of the storage element. This paper is the first paper to optimize the efficiency of a supercapacitor charging process by utilizing the MPPT technique and simultaneously considering the variable charger efficiency. More precisely, previous MPPT methods only maximize the power output of the energy generation source, but they do not guarantee the maximum energy is stored in the energy storage element. Note that the load device takes its energy from the storage element so it is important to maximize energy transfer from the source into the storage element. We present a rigorous framework to determine the optimal capacitance of a supercapacitor and optimal configuration of a solar cell array so as to maximize the efficiency of energy transfer from the solar cells into a bank of supercapacitors. Experimental results show the efficacy of the proposed technique and design optimization framework.