Personalized Driver Based Automatic Shift-Scheduling Optimization for Heavy-duty Truck

Automatic transmission shift schedule is critical to drivability and fuel economy of a heavy-duty truck. In the actual scene of engineering, optimization of shift schedule is calibrated manually considering different driving styles, which is regarded as a repetitive and time-consuming task. In this paper, an automatic shift-scheduling optimization method for heavy-duty truck based on personalized driver is proposed. Firstly, the basic shift schedule is designed based on the engine's optimal operating line. Moreover, in this case, considering 3 major optimization objectives, which are fuel economy, drivability, and durability, the shift schedule is optimized according to nine types of drivers. Compared with the nominal shift schedule, a 3.67% reduction in fuel consumption is able to be achieved under HD-UDDS driving cycle. Finally, a new mathematical model based on the influence laws of drivers with different driving styles on the design variables corresponding to the optimized shift schedule is established to achieve online optimization of the shift schedule. 2.53% fuel savings can be achieved in the HHDDT Transient Mode cycle for a driver with a new driving style compared with the nominal shift schedule.