Predictive energy saving algorithm for hybrid electric truck under high-speed condition
In the process of long-distance cargo transportation of heavy truck,the main driving condition of the vehicle is the high-speed cruising condition with little change in speed range.In order to further improve the fuel saving rate of the vehicle under this condition,a predictive energy saving algorithm with the objective of minimizing engine fuel consumption is proposed,which takes the P2 configuration single-axle parallel hybrid truck as the research object.Based on the change of road slope in front of the vehicle,considering the influence of speed change and energy distribution on fuel consumption,the vehicle speed and battery SOC are regarded as system state variables,and the global optimal future vehicle speed trajectory and energy distribution rules for the current road are determined by dynamic programming algorithm.It has been verified that the speed planning and energy distribution results obtained by the predictive energy saving algorithm are reasonable,and the fuel saving rates of hybrid truck with predictive energy saving algorithm are 3.19％and 6.26％,respectively compared with hybrid truck using dynamic programming algorithm under cruise control system(CCS)and pure fuel truck under predictive cruise control(PCC).
vehicle engineeringhybrid electric truckpredictive energy saving algorithmvehicle speed planningenergy management strategy
万方数据
维普
