Application of neural network to downhill shift strategy for automatic transmission

Abstract

A method is proposed to estimate the longitudinal road gradient with a concept "general gradient force (GGF)", in which uncertain factors such as additional vertical load, road surface change, and strong wind are also taken into account. An adaptive downhill shift control system is then developed to help driver to use the engine brake with lower gears while downhill driving. In the adaptive system, a three-layer neural network is built to evaluate the necessity to make use of engine brake capability in current downhill situation, and the neural network is trained with samples from experienced drivers. Field test results of the adaptive system are introduced to verify the effectiveness of the approach mentioned above.

DRNN-based shift decision for automatic transmission

“…The extra cost of placing these sensors in the vehicle would raise production costs, which would be unacceptable to both manufacturers and customers. 17 Li et al 14 researched a high-speed, accurate NN optimization method for a shift schedule that meets real-time control requirements for construction vehicles in complex working environments. Li et al 17 proposed an adaptive downhill shift control system that considers vehicle state and driver intention in order to provide a reliable, effective solution to the downhill problem, and for comprehensive improvement of drivability, the strategy of uphill, sports, and heavy brake application.…”

“…The extra cost of placing these sensors in the vehicle would raise production costs, which would be unacceptable to both manufacturers and customers. 17…”

Smart Shift Decision Method Based on Stacked Autoencoders

“…The fuzzy neural network has been adopted for the construction of vehicles with multiparameter transmission [14]. A neural network has also been developed to evaluate downhill engine brake necessity and make correct shifting decisions similar to those made by experienced drivers [15]. In [16], a multilayer perceptron algorithm was applied to predict shifting gear timing.…”