Towards Semantic Interoperability Approach to Support the Calibration Process of Electronic Engine Management System

摘要

Both hardware and software of vehicle electronic systems have reached new levels of technology. Every day, new features are added to make vehicles interconnected, efficient, reliable and safer. Regarding engine control, the Electronic Engine Management System (EEMS) must assume safe operating modes to protect both hardware and customers' life. Calibration is the key to engine control and mistakes can lead to inconsistencies, misinterpretations and consequently to fail, representing potential risks for human lives and enormous costs for vehicle manufactures. Calibration does not only care for engine functions, it has other roles that have a direct impact on personal safety concerning vehicle behavior, energy efficiency and emissions, all of them have global impacts. Engine calibration is complex, since it is multi domain, multivariable and deal with cross requirements along its PDP. Calibrations requirements start within an abstraction high level which has to be broken down to successor steps, thus requiring interoperability throughout heterogeneous experts groups that share information and formally represent common vocabulary. Both efficiency and effectiveness can be reached by mapping and solving problems with cross requirements and semantic issues throughout the calibration process. This research demonstrates towards of a conceptual semantic interoperability approach to support the EEMS calibration process, studying alternatives for information representation that can provide interoperability among communications and new representation levels in the form of a well-defined semantic language. The results demonstrate methodologies capable of dealing with problems such as cross domain/requirements issues, knowledge representation and decision making, qualitatively choosing the most suitable techniques.