Energy management strategy of extended-range hybrid electric vehicle considering time-domain features of optimization targets

Abstract

An adaptive equivalent fuel consumption minimization strategy (A-ECMS) considering time domain characteristics of the optimization targets is proposed in this paper. Vehicle speed prediction in short time domain is used to adjust the penalty coefficient related to transient conditions, so as to reduce the adverse effects of frequent engine transients. The stored long-time domain historical vehicle speed data is used to adjust the penalty coefficient related to SOC trajectory, so that the SOC can be maintained while ensuring better fuel economy. Comparing the ECMS with the A-ECMS proposed in this paper, the simulation results show that setting up the penalty coefficients of different targets in different time domains can improve the fuel economy and effectively reduce the number of engine starts and stops, thus achieving the purpose of reducing pollutant emissions.