Dynamic optimization of fuel economy and emissions for hybrid electric vehicles based on DynaProg method
In order to improve the fuel economy of hybrid electric vehicles,dynamic programming(DP)algorithm based on DynaProg method is designed to optimize the energy allocation strategy.Taking parallel hybrid electric vehicle as the research object,the whole vehicle model is established based on Matlab.Aiming at minimum fuel consumption,a mathematical model of DynaProg optimal control is established to obtain the global optimal power source working state of hybrid electric vehicle under known working conditions.The calculation speed,fuel consumption and emission of hybrid electric vehicle are simulated and compared with traditional hybrid electric vehicle dynamic programming control strategy and rule-based hybrid electric vehicle control strategy respectively.The results show that compared with the traditional dynamic programming control strategy,the algorithm speed of DP control strategy based on DynaProg method is improved by 22.46％.Compared with the regular hybrid vehicle control strategy,fuel economy is improved by 17.08％,and CO and NOx exhaust emissions are reduced by 2.88％and 16.29％,respectively.
hybrid electric vehiclesdynamic programmingvehicle control strategyfuel economy
万方数据
维普
