Open AccessAnalysis and model development of hybrid power control strategy
Author(s) -
Yang Tian,
Han Gyeol Gang,
Yanxin Nie,
Peiliang Yu,
Linbo Wang
Publication year - 2020
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/529/1/012010
Subject(s) - correctness , benchmark (surveying) , key (lock) , control (management) , computer science , power (physics) , mode (computer interface) , automotive engineering , electric vehicle , energy management , hybrid vehicle , control engineering , energy (signal processing) , engineering , artificial intelligence , statistics , physics , computer security , mathematics , geodesy , quantum mechanics , programming language , geography , operating system
Plug-in hybrid electric vehicle, as a part of new energy vehicle, plays an important role in energy saving and emission reduction. Taking one Plug-in Hybrid Power System as a sample, this paper first analyses the vehicle control strategy through experiments, including mode switching conditions, energy management strategy and other control strategies; and then builds the vehicle control strategy model to simulate the relevant economic indicators using Simulink according to vehicle benchmark strategy. Finally, the simulation results are compared with the experimental results, which further verifies the correctness of the vehicle control strategy and model, realize the model development of competitive car. The development of competitive vehicle model not only has the reference value of vehicle key control strategy, but also can study and analysis the influence of these parameters on vehicle dynamic and economy by modifying the component parameters or key control parameters in the simulation model, so as to provide the direction for the development of new vehicles.