Title :
On power following energy management strategy based on fuzzy optimization
Author :
Wang Xu-Feng ; Peng Fei ; Mao Bo-Bo ; Chen Wei-Rong
Author_Institution :
Electr. Eng. Coll., Southwest Jiaotong Univ., Chengdu, China
Abstract :
To implement the reasonable power distribution among each energy unit of the fuel cell hybrid vehicle, a power following energy management strategy based on fuzzy optimization is proposed. The operating mode (Run Mode and Stand Mode) of the fuel cell hybrid power system is decided according to the power required by the drive motor and the state of charge of the auxiliary battery, and the power distribution scheme of the fuel cell and auxiliary battery is optimized by means of fuzzy logic inference. The backward simulation model of the fuel cell hybrid vehicle is established in the MATLAB/SIMULINK simulation environment, and the proposed energy management strategy is verified by simulation according to the urban drive cycle. The simulation results show that the proposed power following energy management strategy based on fuzzy optimization is able to satisfy the power required by the vehicle, reduce the dynamic load of the fuel cell, maintain the state of charge of the auxiliary battery within a certain range, improve the economy of the vehicle and optimize the performance of each energy unit.
Keywords :
energy management systems; fuel cell vehicles; fuzzy set theory; inference mechanisms; optimisation; MATLAB-SIMULINK simulation environment; auxiliary battery; backward simulation model; fuel cell hybrid power system; fuel cell hybrid vehicle; fuzzy logic inference; fuzzy optimization; power distribution; power following energy management strategy; run mode; stand mode; urban drive cycle; Batteries; Energy management; Fuel cells; Fuzzy logic; Hybrid power systems; System-on-a-chip; Vehicles; Energy Management Strategy; Fuel Cell; Fuzzy Optimization; Hybrid Vehicle; Power Following;
Conference_Titel :
Control Conference (CCC), 2011 30th Chinese
Conference_Location :
Yantai
Print_ISBN :
978-1-4577-0677-6
Electronic_ISBN :
1934-1768