CODESIGN OF ARCHITECTURES FOR AUTOMOTIVE POWERTRAIN MODULES

To guide design decisions in developing an optimized architecture for automotive power-train modules, we relied upon analysis, a key to hard ware-software codesign. Complicating such efforts are ongoing refineme nts to the underlying algorithms, ever-stricter government standards, reusability demands, and late-arriving specifications for the controll ed components. In our approach, configuration-level analysis lets us q uickly and efficiently explore a large design space. Behavioral-level analysis validates decisions and optimizes hardware and software. Our codesign methodology extends to similar real-time embedded systems.