Paper Info
Title
Charge replacement in hybrid electrical energy storage systems
Abstract
Hybrid electrical energy storage (HEES) systems are composed of multiple banks of heterogeneous electrical energy storage (EES) elements with distinctive properties. Charge replacement in a HEES system (i.e., dynamic assignment of load demands to EES banks) is one of the key operations in the system. This paper formally describes the global charge replacement (GCR) optimization problem and provides an algorithm to find the near-optimal GCR control policy. The optimization problem is formulated as a mixed-integer nonlinear programming problem, where the objective function is the charge replacement efficiency. The constraints account for the energy conservation law, efficiency of the charger/converter, the rate capacity effect, and self-discharge rates plus internal resistances of the EES element arrays. The near-optimal solution to this problem is obtained while considering the state of charges (SoCs) of the EES element arrays, characteristics of the load devices, and estimates of energy contributions by the EES element arrays. Experimental results demonstrate significant improvements in the charge replacement efficiency in an example HEES system comprised of banks of battery and supercapacitor elements with a high-power pulsed military radio transceiver as the load device.
Year
DOI
Venue
2012
10.1109/ASPDAC.2012.6165032
ASP-DAC
Keywords
Field
DocType
power convertors,optimal control,supercapacitors,near-optimal gcr control policy,global charge replacement,nonlinear programming,integer programming,state of charges,charger-converter,hees system,optimization problem,charge replacement,supercapacitor,energy storage,mixed-integer nonlinear programming,hybrid electrical energy storage systems,battery chargers,objective function,system on a chip,energy conservation,partial discharge
Energy storage,Energy conservation,System on a chip,Supercapacitor,Computer science,Nonlinear programming,Electronic engineering,Integer programming,Battery (electricity),Electrical engineering,Optimization problem
Conference
ISSN
ISBN
Citations 
2153-6961
978-1-4673-0770-3
6
PageRank 
References 
Authors
0.58
0
6
Name
Order
Citations
PageRank
Qing Xie128720.06
Yanzhi Wang21082136.11
Massoud Pedram378011211.32
Younghyun Kim454051.72
Donghwa Shin539632.34
Naehyuck Chang61985185.85