DocumentCode
3426545
Title
Optimal control of multi-battery energy-aware systems
Author
Wang, Tao ; Cassandras, Christos G.
Author_Institution
Div. of Syst. Eng. & Center for Inf. & Syst. Eng., Boston Univ., Boston, MA, USA
fYear
2011
fDate
12-15 Dec. 2011
Firstpage
1497
Lastpage
1502
Abstract
We study the problem of optimally controlling a set of non-ideal rechargeable batteries that can be shared to perform a given amount of work over some specified time period. We seek to maximize the minimum residual energy among all batteries at the end of this period by optimally controlling the discharging and recharging process at each battery. Modeling a battery as a dynamic system, we adopt a Kinetic Battery Model (KBM) and formulate an optimal control problem under the constraint that discharging and recharging cannot occur at the same time. We show that the optimal solution must result in equal residual energies for all batteries as long as such a policy is feasible. This simplifies the task of subsequently deriving explicit solutions for the problem.
Keywords
optimal control; power system control; secondary cells; discharging process; dynamic system modeling; kinetic battery model; multi-battery energy aware system; optimal control; rechargeable batteries; recharging process; residual energy; Batteries; Computational modeling; Discharges; Mathematical model; Optimal control; Vehicle dynamics;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control and European Control Conference (CDC-ECC), 2011 50th IEEE Conference on
Conference_Location
Orlando, FL
ISSN
0743-1546
Print_ISBN
978-1-61284-800-6
Electronic_ISBN
0743-1546
Type
conf
DOI
10.1109/CDC.2011.6160467
Filename
6160467
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