TY - GEN
T1 - Charge replacement in hybrid electrical energy storage systems
AU - Xie, Qing
AU - Wang, Yanzhi
AU - Pedram, Massoud
AU - Kim, Younghyun
AU - Shin, Donghwa
AU - Chang, Naehyuck
PY - 2012
Y1 - 2012
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84859985293&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84859985293&partnerID=8YFLogxK
U2 - 10.1109/ASPDAC.2012.6165032
DO - 10.1109/ASPDAC.2012.6165032
M3 - Conference contribution
AN - SCOPUS:84859985293
SN - 9781467307727
T3 - Proceedings of the Asia and South Pacific Design Automation Conference, ASP-DAC
SP - 627
EP - 632
BT - ASP-DAC 2012 - 17th Asia and South Pacific Design Automation Conference
T2 - 17th Asia and South Pacific Design Automation Conference, ASP-DAC 2012
Y2 - 30 January 2012 through 2 February 2012
ER -