Browse Publications Technical Papers 2005-01-1597
2005-04-11

Research on a Neural Network Model Based Automatic Shift Schedule with Dynamic 3-Parameters 2005-01-1597

To reach the goal of optimal performance match between engine and transmission, the dynamic characteristics of engine should be taken into consideration. In the paper, the dynamic torque and fuel consumption models of engine, described by a multi-layers feed forward neural network, were established. Based on that, the methods used to calculate the optimal dynamic and economical shift schedules with dynamic 3-parameters were put forward. The shift schedule with dynamic 3-parameters based on neural network model is proven to be superior to the shift schedule with only 2-parameters in both dynamic performance and fuel economy by the test.

SAE MOBILUS

Subscribers can view annotate, and download all of SAE's content. Learn More »

Access SAE MOBILUS »

Members save up to 16% off list price.
Login to see discount.
Special Offer: Download multiple Technical Papers each year? TechSelect is a cost-effective subscription option to select and download 12-100 full-text Technical Papers per year. Find more information here.
We also recommend:
TECHNICAL PAPER

A Digital Electronic Shift Schedule Control for Vehicular Automatic Transmissions

790044

View Details

TECHNICAL PAPER

Launch and Driveability Performance Enhancement for a Parallel Hybrid with a Torque Controlled IVT

2005-01-3831

View Details

TECHNICAL PAPER

Fuel Efficiency Estimates for Future Light Duty Vehicles, Part B: Powertrain Technology and Drive Cycle Fuel Economy

2016-01-0905

View Details

X