Energy control strategy of plug-in hybrid electric vehicle based on pattern recognition:

摘要

The article researches on the energy control strategy of the series-parallel plug-in hybrid electric vehicle based on pattern recognition. First, after the dynamic analysis and energy flow directions of the planetary gears, according to the theory of leverage simulation, working conditions of power components are analyzed under various operating models. Second, static parameters and control rules are, respectively, designed under the charge-depleting and charge-sustaining models, and flow charts of the vehicle energy control are established. Third, the switch controller of energy control and charge-depleting/charge-sustaining models are designed by the MATLAB/Simulink. Finally, the whole vehicle simulation model is established and simulated by the Advisor software. Results show that the designed energy control model can effectively improve the fuel economy performance of the plug-in hybrid electric vehicle under the premise of ensuring dynamic performance indexes.