Energy management strategy analysis of plug-in hybrid electric vehicle based on big data analysis of real vehicle tests
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Abstract:
A reverse analysis method was proposed for the energy management strategy of the plug-in hybrid electric vehicle with an advanced series-parallel hybrid power system. Based on the power flow and energy analysis, the test analysis process was designed. Through the real vehicle test, the dynamic performance, economic performance and performance impact analysis of the vehicle were carried out. Based on the test results, an energy management strategy of the plug-in hybrid electric vehicle was developed. Finally, based on MATLAB/Simulink platform and its model library, a series parallel plug-in hybrid electric vehicle simulation platform based on real vehicle test big data was developed. The correctness of the proposed analysis method was verified through the comparative analysis of simulation and real vehicle test.
