Research on Dual-Mode Energy Management Strategy for a Series Hybrid Electric Mine Truck
To fully utilize the energy-saving and emission-reduction performance of the oil-electric hybrid system on mine truck,a dual-mode energy management strategy(EMS)is proposed for a series hybrid electric mine truck.The back propagation neural network(BPNN)was used to construct the models of"optimal fuel consumption mode of engine"and"optimal efficiency mode of range extender"in this EMS.On this basis,a dual-mode EMS was designed to adjust the power output of the range extender and battery pack,realizing the real-time adjustment of the energy consumption for the vehicle under complex working conditions.Finally,the proposed EMS was verified by hardware in the loop simulation with actual working condition data.The results show that compared with the rule strategy and equivalent consumption minimization strategy,the fuel saving rate of the dual-mode EMS increases by 12.74％ and 7.4％ respectively,further improving the fuel saving performance of the real-time strategy.
series hybrid electricmine truckdual-modeenergy management strategyback propagation neural network
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