Mark J. Duty

Reverse dynamic optimization methodology for maximizing powertrain system efficiency

Abstract A reverse tractive road load demand model, dynamic optimization methodology, and Matlab®/Simulink® based tool are being developed to address the challenge of matching the powertrain hardware and control strategy to specific vehicle attributes and driver applications for improved overall vehicle system efficiency. The reverse dynamic optimization methodology can be used to assess transmission shift and lock-up control strategies, evaluate alternative powertrain hardware configurations, and establish design criteria.

Development of Reverse Dynamic Optimization Methodology for Optimal Powertrain Integration and Control Design

A reverse tractive road load demand model, dynamic optimization methodology, and Matlab®/Simulink® based tool are developed to address the challenge of matching the powertrain hardware and control strategy to specific vehicle attributes and driver applications for improved overall vehicle system efficiency. The reverse dynamic optimization methodology can be used to assess and develop transmission shift and lock-up control strategies, evaluate alternative powertrain hardware configurations, and establish design criteria. The advantages of the reverse dynamic optimization approach are demonstrated and key system integration concepts are revealed by performing vehicle attribute, engine, transmission, and axle sensitivity analyses.Copyright

Reverse Dynamic Optimization of Variable Displacement Engine Operation and System Integration

Variable displacement engines are a proven technology for improving fuel economy without sacrificing performance. To achieve the most benefit, variable displacement needs to be properly integrated into the vehicle system. A reverse tractive road load demand model, dynamic optimization methodology, and Matlab®/Simulink® based tool are developed to address the challenge of properly matching variable displacement engines and their control strategies to specific vehicle applications for improved overall vehicle system efficiency. Using a reverse model and a dynamic programming algorithm, optimal variable displacement control strategies considering the gear shift and torque converter clutch interaction effects for various drive cycles are developed virtually. The development of an optimal control strategy facilitates better integration of variable displacement into vehicle system designs.Copyright