Hybrid Fuel Cell/Battery Power System Energy Management by Using Fuzzy Logic Control for Vehicle Application - Details

author：

Cui, Pengfei (Cui, Pengfei.) ^[1] | Ding, Axin (Ding, Axin.) ^[2] | Shen, Ying (Shen, Ying.) ^[3] (Scholars：沈英) | Wang, Ya-Xiong (Wang, Ya-Xiong.) ^[4] (Scholars：王亚雄)

Indexed by：

EI Scopus

Abstract：

In　this　work,　a　fuzzy　logic　control-based　energy　management　strategy　is　proposed　for　a　fuel　cell　(FC)/battery　hybrid　electric　vehicle.　The　model　of　the　proposed　hybrid　power　system　is　developed　in　the　environment　of　MATLAB/Simulink.　An　energy　management　according　to　fuzzy　rules　is　designed　to　regulate　FC　working　in　the　high　efficiency　area　and　protect　it　from　suffering　rapidly　changing　of　load　power.　The　reference　power　of　FC　is　determined　in　real-time　by　accumulating　its　power　increment　which　performs　FC　power　changing　from　one　operating　point　to　another　within　the　high　efficiency　area　limiting　by　the　maximum　power　slope.　The　proposed　control　effect　is　compared　with　a　simple　logic　control　strategy　in　New　Europe　Driving　Cycle　(NEDC).　©　2019　IEEE.

Keyword：

Computer circuits Electric power system control Energy efficiency Energy management Fuel cells Fuzzy inference Fuzzy logic Vehicles

Community：

[ 1 ] [Cui, Pengfei]School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou, China
[ 2 ] [Ding, Axin]School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou, China
[ 3 ] [Shen, Ying]School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou, China
[ 4 ] [Wang, Ya-Xiong]School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou, China