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학술대회자료
저자정보
구본창 (현대자동차) 박진권 (현대자동차) 박광수 (현대자동차)
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한국자동차공학회 한국자동차공학회 추계학술대회 및 전시회 2021년 한국자동차공학회 추계학술대회 및 전시회
발행연도
2021.11
수록면
1,071 - 1,079 (9page)

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California Air Resource Board is regulating and rulemaking the OBD II, OBD II regulation is updated and enhanced at regular interval. Car makers should make new diagnosis logic with following OBD II regulation. A successful diagnostic design must meet the following objective: identify good part and bad part, prevent bad happen and promote well system behavior under fault condition. The recent increasing demands to minimize the development process have been pushing the envelope on the methodologies used in developing the strategies and the calibration for robust monitoring. The goal of this paper is to provide a concise overview of a process utilized to help the software-in-the-loop (SIL) development, testing of the OBD strategies on a gasoline engine. The paper will focus on the setup of software-in-the-loop in detail by describing the components involved in the setup and their functionalities. The methods used to link the individual elements to achieve the goal of creating a virtual environment for OBD strategy development and calibration is described. The main components of the integrated system presented in this paper include the following: MATLAB ® Simulink ® software, an Integrated Calibration and Acquisition System (INCA ® ), an virtual engine control unit (vECU), and a VEMOX ® engine performance model.
The paper also addresses the development of new OBD strategies in the MATLAB ® environment. These strategies can be simulated and verified in a desktop computer through simulations by running multiple test cycles in order to gather sufficient information on the robustness of the strategies before finalizing them. Moreover, the calibration method for the existing strategies in a desktop directly results in cost savings due to the reduction of test cell time. The main goal of this paper is to provide insights to the virtual engine controls regarding the SIL that can be virtualized by using well known simulation/analysis and data/signal processing tools to minimize engine development time and to improve the effectiveness of the development and calibration processes.

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