Title :
Optimal energy management for a fuel cell hybrid locomotive
Author :
Jiang Zhi-ling ; Chen Wei-Rong ; Dai Chao-hua ; Cheng Zhan-li
Author_Institution :
Sch. of Electr. Eng., Southwest Jiaotong Univ., Chengdu, China
Abstract :
In order to save fuel and reduce pollution, the research on fuel cell hybrid electric locomotive has been greatly concerned. This paper presents an analysis of the energy management for hybrid locomotive with two power source, which are fuel cell stack and storage battery, respectively. The battery is used to discharge during high power demand, and recharge through regenerative braking. The energy utilization efficiency can be greatly improved through this power hybrid technology. And it can also reduce the pollution during the locomotive running, which has a great interest to protect the environment. To control the power flows of the hybrid system, the fuzzy logic method is adopted to design an operating strategy which is able to adapt the system behavior to different conditions, offering an optimal operation in different situations. This control method not only make the battery SOC at reasonable level, but also make the fuel cell work in the superior performance of the region.
Keywords :
battery powered vehicles; electric locomotives; fuel cell vehicles; fuel cells; fuzzy logic; hybrid electric vehicles; discharge; electric locomotive; energy management; fuel cell hybrid locomotive; fuel cell stack; fuzzy logic method; locomotive running; power hybrid technology; regenerative braking; storage battery; Batteries; Energy management; Fuel cells; Fuzzy logic; Hybrid power systems; System-on-a-chip; Vehicles; DC/DC converter; SOC; energy management system; fuzzy logic; hybrid fuel cell system;
Conference_Titel :
Fuzzy Systems and Knowledge Discovery (FSKD), 2010 Seventh International Conference on
Conference_Location :
Yantai, Shandong
Print_ISBN :
978-1-4244-5931-5
DOI :
10.1109/FSKD.2010.5569103