Efficiency-Driven Design Time Optimization of a Hybrid Energy Storage System with Networked Charge Transfer Interconnnect
Qing Xie1,a, Younghyun Kim2, Donkyu Baek3,d, Yanzhi Wang1,b, Massoud Pedram1,c and Naehyuck Chang3,e
1University of Sourthern California, CA, USA.
2Purdue University, IN, USA.
3Korea Advanced Institute of Science and Technology, Korea.
This paper targets at the state-of-art hybrid energy storage system (HESSs) with a networked charge transfer interconnect and solves a node placement problem in the HESS, where a node refers to a storage bank, a power source, or a load device, with its distributed power converter. In particular, the node placement problem is formulated as how to place the nodes in a HESS such that the optimal total charge transfer efficiencey is achieved, with accurate modelings of all kinds of different componentes in the HESS. The methodology of FPGA placement problem is adopted to solve the node placement in HESS by properly defining a cost function that strongly relates the charge transfer efficiency to the node placement, properites of HESS components, as well as applications of the HESS. An algorithm that combines a quadratic programming method to generate an initial placement and a simulated annealing method to converge to the optimal placement result is presented in this paper. Experimental results demonstrate the efficacy of the placement algorithm and improvements in the charge transfer effcieny for various problem setups and scales.
Keywords: Hybrid energy storage system, Networked charge transfer interconnect, Placement.
Full Text (PDF)