Comparison on rule-based energy management strategy for E-REV
1. School of Mechanical ＆ Electronic Engineering, Zhongyuan University of Technology, Zhengzhou, Henan 450007, China; 2. College of Information and Electrical Engineering,China Agricultural University, Beijing 100083, China; 3. Shanghai Motor Vehicle Inspection Certification ＆ Tech Innovation Center Co., Ltd., Shanghai 201805, China
Abstract：For serial extended-range electric vehicle（E-REV）, the range extender miniaturization method was investigated according to the engine parameter matching. Four management strategies were proposed based on different rules by progressive optimization. An entire vehicle simulation platform was set up by Cruise/Simulink. Based on the platform, the explanations for fuel economy difference of strategies were analyzed according to engine operating point distribution, range extender efficiency and charge-discharge energy loss of battery. The off-line and HIL simulation results indicate that the main influence factors of fuel economy are range extender efficiency and charge-discharge energy loss of battery. The extended-range electric vehicle with miniature range extender cannot completely fit the common engine on-off and power following control strategy. The optimal curve control strategy has good fuel economy and control effect.
2018, Vol. 39 
