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
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;
Conference_Titel :
Decision and Control and European Control Conference (CDC-ECC), 2011 50th IEEE Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
978-1-61284-800-6
Electronic_ISBN :
0743-1546
DOI :
10.1109/CDC.2011.6160467