Predictive ramp shift strategy with dual clutch automatic transmission combined with GPS and electronic database
by Chao Wang; Guangqiang Wu; Zhichao Lv; Xiang Zeng
International Journal of Vehicle Performance (IJVP), Vol. 8, No. 4, 2022

Abstract: First, based on the two-parameter shift strategy, the ramp shift correction coefficient is added to get the ramp shift strategy. Back propagation (BP) neural network is used to establish the nonlinear mapping relationship among the gears, throttle opening, ramp and the ramp shift correction coefficient. Second, the road information is stored in the electronic database, the vehicle position information and the distance to the ramp are obtained through global positioning system (GPS), a predictive ramp shift strategy combining GPS and electronic database is proposed. The simulation results show that this strategy is helpful to eliminate the phenomenon of frequent shift and unexpected shift when the vehicle is driving on the ramp. Based on the experimental vehicle and the self-developed transmission control unit (TCU) hardware and software platform, the real vehicle test is carried out on the ramp road, and the results verified that the strategy is helpful to reduce the number of gears shifting, enhance the vehicle power performance and comfort when uphill.

Online publication date: Tue, 04-Oct-2022

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