Dynamic Power Management for Portable Hybrid Power-Supply Systems Utilizing Approximate Dynamic Programming

Jooyoung Park, Gyo-Bum Chung, Jungdong Lim and Dongsu Yang
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Jooyoung Park: Department of Control and Instrumentation Engineering, Korea University, Sejong 339-700, Korea
Gyo-Bum Chung: Department of Electronic & Electrical Engineering, Hongik University, Sejong 339-701, Korea
Jungdong Lim: Department of Control and Instrumentation Engineering, Korea University, Sejong 339-700, Korea
Dongsu Yang: LG Electronics, Seoul 135-860, Korea

Energies, 2015, vol. 8, issue 6, 1-21

Abstract: Recently, the optimization of power flows in portable hybrid power-supply systems (HPSSs) has become an important issue with the advent of a variety of mobile systems and hybrid energy technologies. In this paper, a control strategy is considered for dynamically managing power flows in portable HPSSs employing batteries and supercapacitors. Our dynamic power management strategy utilizes the concept of approximate dynamic programming (ADP). ADP methods are important tools in the fields of stochastic control and machine learning, and the utilization of these tools for practical engineering problems is now an active and promising research field. We propose an ADP-based procedure based on optimization under constraints including the iterated Bellman inequalities, which can be solved by convex optimization carried out offline, to find the optimal power management rules for portable HPSSs. The effectiveness of the proposed procedure is tested through dynamic simulations for smartphone workload scenarios, and simulation results show that the proposed strategy can successfully cope with uncertain workload demands.

Keywords: hybrid power-supply systems; dynamic power management; approximate dynamic programming (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2015
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