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ASAM XIL 기반 Test Automation Tool을 이용한 HILs 평가환경 확장 사례
김용회(Yonghoe Kim),조유정(Yujung Cho),김범섭(Beomseop Kim) 한국자동차공학회 2023 한국자동차공학회 학술대회 및 전시회 Vol.2023 No.11
This study explores how ASAM XIL-based Test Automation can improve the quality of automakers. We will explain the basic concept and structure of ASAM XIL and demonstrate the integration of Test Automation solutions such as National Instruments (NI) and Vector using the Test Automation Tool based on the ASAM XIL standard called X-Studio. This covers how to improve the scalavility of test cases, as well as the flexibility of automation validation and evaluation environment deployment.
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가상 검증 시뮬레이션 환경을 통한 에어백 충돌 테스트 방법 제안
서윤정(Younjeong Seo),김재경(Jaekyung Kim),임준식(Junsik Yim),김범섭(Beomseop Kim) 한국자동차공학회 2023 한국자동차공학회 학술대회 및 전시회 Vol.2023 No.11
The most effective and effective function in vehicle safety is an airbag device. An airbag is a safety device that rapidly inflates to protect the driver or occupants in an automobile accident. The airbag inflates the airbag by generating nitrogen gas when a collision sensor and an electronic control unit detect the amount of impact of the vehicle during a collision and exceed the collision limit. In general, when driving at a speed of about 30 km/h or more, the collision sensor detects and deploys when a strong collision is received from the front or side within 30°. (Each country has different laws and regulations) An airbag is effective in reducing the risk of fatal injury or death in a frontal collision and may not deploy unless a seatbelt is worn as an auxiliary restraint device for a seatbelt. In addition, there are various types of airbags, such as side airbags and curtain airbags, in addition to those mounted on the steering wheel or dashboard. Automotive airbags are manufactured in accordance with the regulations on certification and inspection methods and procedures (Korean Standards, Ministry of Environment Notice No. 2021-118) and the regulations on manufacturing automobile test inspections and procedures (Korean Standards, Ministry of Environment Notice No. 2022-73). You must undergo an authentication test. In order to receive a certification inspection, you must follow the vehicle certification test and inspection work procedures of the Korea Environment Corporation. A similar certification procedure exists internationally. The cost of certification inspection varies depending on the type of vehicle and test items, but generally costs between several million won and tens of millions of won. The certification inspection time varies depending on the condition of the vehicle and the test items, but generally takes several days to several weeks. In the case of verification through a verification environment through Hil, it is difficult to configure the same environment as an actual vehicle crash test. The disadvantage is that the range of motion for simulation of impulse and ACU movement is small, and it is difficult to accurately simulate the numerical or quantitative values desired by the tester. The virtual verification environment is a simulation platform that emulates the automobile SW platform, system, and vehicle dynamics model as a digital twin and can pre-verify SW logic and vehicle functions. Compared to the Hil verification environment, it has the advantage of configuring an environment identical to reality and being able to verify by simulating shock amounts and ACU movements at a level similar to reality. Through this, time and cost savings can be expected as mentioned above.
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HILS 시계열 데이터 이미지 변환을 이용한 CNN 기반 자동화 검증에 대한 연구
정의인(Ui-in Jung),김두기(Doogie Kim),백승빈(Seungbin Baek),황지은(Jieun Hwang),김범섭(Beomseop Kim) 한국자동차공학회 2023 한국자동차공학회 학술대회 및 전시회 Vol.2023 No.11
In this paper, we propose a framework of automated validation for HILS test data that is time dependent based on CNN using image encoding. Recently, electric vehicles and automated driving technologies have developed and ECU in vehicles is more complex. As a result, validation of ECU in vehicles is becoming important. HILS can reduce time and resources for test and validation of ECU. But amount of test is increased rapidly. To solve these problem, automated validation for HILS test data is studying. But it is difficult to find that consider the time dependent characteristics of time series data. In the study, image encoding used on other engineering field is applied to convert multivariate HILS data to image and introduce framework of automated validation for HILS test data based on CNN through validation performance about MDPS HILS data.
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