Title :
Dynamic optimal battery array management in high energy density fuel cell/battery hybrid power source
Author :
She, Yun ; She, Xu
Author_Institution :
Dept of Electr. & Comput. Eng., Polytech. Inst. of New York Univ., Brooklyn, OH, USA
Abstract :
The goal of this paper is to address the problem of dynamic optimal battery array management to extend the life of battery array used in the hybrid power source. Unlike previous efforts which mainly solve the problem using the off-line optimization, our design addresses the problem using the idea of “feedback”. The proposed approach can handle the possible dynamic uncertainty of the hybrid power source introduced by battery failure or insert of a new battery. The detailed battery model and the converter model are derived to facilitate development of dynamic optimal management algorithm. The other goal of this paper is to call possible attention of the control community in potential contribution for newest smart grid technology.
Keywords :
battery management systems; fuel cells; hybrid power systems; renewable energy sources; battery hybrid power source; dynamic optimal battery array management; high energy density fuel cell; Arrays; Batteries; Converters; Equations; Fuel cells; Hybrid power systems; Mathematical model;
Conference_Titel :
Decision and Control (CDC), 2010 49th IEEE Conference on
Conference_Location :
Atlanta, GA
Print_ISBN :
978-1-4244-7745-6
DOI :
10.1109/CDC.2010.5718084