가솔린엔진제어기 공기량결정함수의 시뮬레이션 환경 구축 및 파라미터 매핑 자동최적화

다국어 초록 (Multilingual Abstract)

The purpose of the air charge for a gasoline engine ECU is to predict the relative air charge load in a cylinder by using MAP or MAF sensors. Numerous parameters in the ECU function have to be calibrated in order to convert the sensor value to air charge load. Manual calibration is time consuming or even impossible due to the high number of correlated parameters. Tiers supplying an ECU make use of internal parameter optimizers not only for the air charge function, but also for some other functions. However, these optimizers are not generally opened to third parties so as to protect intellectual property. In this study, a generic parameter optimizer, MOCA, has been utilized in order to simulate the air charge function and to optimize the calibration parameters for minimizing the deviation between the measured actual output and the model output. Optimum results by MOCA were almost the same as the results of the Tier internal optimizer. This automated calibration performed offline on a PC by MOCA instead of the manual calibration at a test bench would be able to replace the Tier internal optimizers, as well as save time and costs, throughout the entire calibration process.

참고문헌 (Reference)

1 강용헌, "가솔린 엔진의 성능, 연비, 배출 가스를 동시에 고려한 시뮬레이션 기반 흡기 다기관 길이 최적화" 한국자동차공학회 18 (18): 62-67, 2010

2 C. H. Jo, "Mapping Optimization of PCV Diesel Engine using DoE Method" 362-370, 2005

3 H. Joshua, "Industrialization of Base Calibration Methods for ECU-functions Exemplary for Air Charge Determination" SAE 2010

4 D. Woldring, "DI Boost : Application of a High Performance Gasoline Direct Injection Concept" SAE 2007

5 T. Gutjahr, "Automated Optimization of Physics Based Sensor Models for Embedded Control Systems" 2018

6 J. Gerhardt, "A New Approach to Functional and Software Structure for Engine Management Systems-BOSCH ME7" SAE 1998