Title: Predictive ramp shift strategy with dual clutch automatic transmission combined with GPS and electronic database

Authors: Chao Wang; Guangqiang Wu; Zhichao Lv; Xiang Zeng

Addresses: Institute of Automotive Simulation Science, School of Automobile Studies, Tongji University, Shanghai 201804, China ' Institute of Automotive Simulation Science, School of Automobile Studies, Tongji University, Shanghai 201804, China ' Institute of Automotive Simulation Science, School of Automobile Studies, Tongji University, Shanghai 201804, China ' Institute of Automotive Simulation Science, School of Automobile Studies, Tongji University, Shanghai 201804, China

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.

Keywords: ramp; shift strategy; BP neural network; GPS; global positioning system; electronic database; predictive.

DOI: 10.1504/IJVP.2022.125939

International Journal of Vehicle Performance, 2022 Vol.8 No.4, pp.450 - 467

Received: 22 Jul 2021
Accepted: 29 Sep 2021
Published online: 04 Oct 2022 *

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