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Enhancement of model quality through measurable guidelines

by Alexander Dolpp (dSPACE GmbH)

 

Abstract:

Mercedes-Benz Research and Development North America (MBRDNA) develops e-drive software for electrified powertrains within the Daimler product portfolio. The e-drive software is designed to be modularized and facilitates application of the same software on different vehicle platforms.

Small variations in the system requirements for the target application lead to variants of certain software components within the system. Hence, challenges at the level of requirement management, SW integration, testing of delta content as well as management of calibration sets for the different variants arise. MBRDNA uses an integrated Life Cycle Management method to handle the complexity.

MBRDNA utilizes a model-based software development environment to ease development and enable agility in the realization of this emerging powertrain technology. In order to avoid software design errors early on, guarantee optimal generated code and comply with the relevant safety standard according to ISO26262, the Daimler internal modeling guidelines are applied and are part of the automated Model Quality Assurance processes.

To further increase the quality of the models, internal guidelines regarding model complexity exist but have been difficult to measure in the past. The transition from a subjective evaluation of complexity to a tool based methodology to objectively asses the complexity of the code, as well as a company-wide standardization of guidelines for model complexity, is currently ongoing. A major challenge is the definition of meaningful model complexity matrices for existing legacy content.

Alexander Dolpp will explain tools, methods and processes which allowed Mercedes-Benz Research and Development to handle past challenges and what steps will be taken to deal with growing complexity in the future.

 

Alexander Dolpp

Alexander Dolpp

Alexander Dolpp is the Director of E-Drive Software at Mercedes-Benz Research and Development North America in Redford, Michigan. In his role, he oversees model based controls, configures cores SW, implements safety per ISO26262 and tests SW for power electronics and control of electric motors.

Mr. Dolpp has almost 20 years of automotive experience, built up over the course of various automatic transmission, hybrid and plug-in programs. He is a proven leader with a strong focus on powertrain product development and program management.
He joined Mercedes-Benz through the University of Cooperative Education in Stuttgart, Germany and holds a Diploma degree in Electric Engineering.