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.