Research on Energy Management of Micro-Gas Turbine Range Extended Electric Vehicle Based on Battery Life Prediction

In this work, in order to reduce the overall cost of the micro-gas turbine range extended electric vehicle (MGT-REEV), the energy management strategies of the micro gas turbine range extender were discussed. The overall vehicle cost includes equivalent fuel cost and battery loss cost. We defined a cost function to qualify the overall vehicle cost and three rule-based energy management strategies were built and compared. The REEV model was built based on the Cruise platform, energy management strategies were built based on Matlab. We discussed thermostat strategy, the constant speed multi-point strategy and optimal curve multi-point strategy under Worldwide Harmonized Light Vehicles Test Cycle (WLTC). The results showed that the constant multi-point strategy had a better effect on reducing the vehicle overall result compared with the other two control. Finally, the multi-objective genetic algorithm based on Isight software was used to optimize the selection of multiple operating points to optimize the vehicle overall cost. The optimized constant speed energy management strategy reduced the overall cost by 6.08% compared to the thermostat strategy. In brief, through the above comparisons and optimization, the influences of different energy management strategies on fuel consumption and battery loss were revealed, which provides a good reference for engineering applications.