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

Energies

Jooyoung Park²  Gyo-Bum Chung¹  Jungdong Lim²  Dongsu Yang³ 

[1] Department of Electronic & Electrical Engineering, Hongik University, Sejong 339-701, Korea; E-Mail:;Department of Control and Instrumentation Engineering, Korea University, Sejong 339-700, Korea; E-Mail:;LG Electronics, Seoul 135-860, Korea; E-Mail:

关键词: hybrid power-supply systems;    dynamic power management;    approximate dynamic programming;   

DOI  :  10.3390/en8065053

来源: mdpi

【 摘 要 】

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.

【 授权许可】

CC BY   
© 2015 by the authors; licensee MDPI, Basel, Switzerland.