Open AccessResearch on energy control strategy of PHEV
Author(s) -
Jing Sun
Publication year - 2021
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/714/4/042077
Subject(s) - fuzzy logic , robustness (evolution) , control theory (sociology) , fuzzy control system , driving cycle , automotive engineering , computer science , fuel efficiency , power (physics) , engineering , control engineering , electric vehicle , control (management) , biochemistry , chemistry , physics , quantum mechanics , artificial intelligence , gene
According to the characteristics of Plug-in hybrid electric vehicle, PHEV optimal fuzzy control is proposed. The engine operating points are controlled on optimal fuel consumption curve. Based on the power request and SOC, the fuzzy controller can distribute the engine given power and the condition of SOC drop with insufficient of energy recovery is improved to realize constant SOC control Furthermore. ADVISOR is developed by Fuzzy control model embedding, and make simulation experiment under different driving cycle. The studies on case prove that PHEV optimal fuzzy control can realize the constant SOC control under road conditions, so that it has the well robustness.