Title :
Optimal and adaptive battery discharge strategies for Cyber-Physical Systems
Author :
Zhang, Fumin ; Shi, Zhenwu
Author_Institution :
Sch. of Electr. & Comput. Eng., Georgia Inst. of Technol., Savannah, GA, USA
Abstract :
We introduce a dynamic battery model that describes the variations of the capacity of a battery under time varying discharge current. This model is input-output equivalent to the Rakhmatov-Vrudhula-Wallach (RVW) model that has been verified by experimental data. Our model allows battery capacity prediction for feedback control laws and online scheduling algorithms that are building blocks for cyber-physical systems (CPS) theory. We design optimal and adaptive discharge profile for a square wave impulsive current to achieve maximum battery life. Simulation results are provided to compare battery life for different discharge profiles.
Keywords :
adaptive control; discharges (electric); feedback; optimal control; scheduling; secondary cells; Rakhmatov-Vrudhula-Wallach model; adaptive battery discharge strategy; adaptive discharge profile; battery capacity prediction; cyber-physical systems; dynamic battery model; feedback control laws; online scheduling algorithm; optimal discharge profile; square wave impulsive current; time varying discharge current; Analytical models; Batteries; Computational modeling; Dynamic voltage scaling; Electrodes; Energy management; Feedback control; Mobile computing; Predictive models; Scheduling algorithm;
Conference_Titel :
Decision and Control, 2009 held jointly with the 2009 28th Chinese Control Conference. CDC/CCC 2009. Proceedings of the 48th IEEE Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-3871-6
Electronic_ISBN :
0191-2216
DOI :
10.1109/CDC.2009.5400561
