DocumentCode :
574664
Title :
Balancing of battery networks via constrained optimal control
Author :
Danielson, Claus ; Borrelli, Francesco ; Oliver, Dev ; Anderson, Dave ; Ming Kuang ; Phillips, Tony
Author_Institution :
Univ. of California, Berkeley, CA, USA
fYear :
2012
fDate :
27-29 June 2012
Firstpage :
4293
Lastpage :
4298
Abstract :
This paper defines two control problems: the capacity maximization and the battery balancing problems. In the first part, we compare the two problems by analyzing properties of their solutions. In the second part, two algorithms are presented for solving the capacity maximization and battery balancing problems respectively. These algorithms are based on constrained optimization techniques. We prove asymptotic convergence of both algorithms and present a numerical example.
Keywords :
convergence of numerical methods; optimal control; optimisation; secondary cells; asymptotic convergence; battery balancing problems; battery networks; capacity maximization; constrained optimal control; constrained optimization techniques; Batteries; Capacitors; Charge transfer; Discharges (electric); Integrated circuits; Mathematical model; Prediction algorithms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
American Control Conference (ACC), 2012
Conference_Location :
Montreal, QC
ISSN :
0743-1619
Print_ISBN :
978-1-4577-1095-7
Electronic_ISBN :
0743-1619
Type :
conf
DOI :
10.1109/ACC.2012.6315251
Filename :
6315251
Link To Document :
بازگشت