지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2024.5
- 수록면
- 453 - 458 (6page)
- DOI
- 10.7467/KSAE.2024.32.5.453
이용수
초록· 키워드
오류제보하기
The current automobile market now offers various eco-friendly vehicles, but the increase in electric vehicle fires became an increasingly societal concern. Still, the share of EV fires in the total number of automobile fires remains very low. From 2017 to November 2022, fires involving vehicles equipped with internal combustion engines accounted for 1.492 %, while EV fires were at 0.025 %, indicating that ICE vehicle fires are approximately 59.7 times more common. Despite the rapid adoption of electric vehicles, ICE vehicle fires remain prevalent. Furthermore, recent policies, such as reduced EV subsidies through the IRA in the United States and in Europe, along with other countries adopting automotive industry protection policies, slowed down the pace of EV adoption. As a result, the number of fires originating from ICE vehicles will continue to dominate the overall statistics. Engine-related fires primarily occurred while the engine was running, and were due to various causes. Since these fires occur under different driving conditions, the rapid spread of fires makes it difficult to collect relevant evidence. Consequently, determining the exact cause of these fires remains a challenge. Thus, 12 % of the cases are due to unknown causes, ranking fourth in terms of frequency. In the 1960s, the On-Board Diagnostics system was installed in vehicles. If there are engine issues, an Engine Management System allows the self-diagnosis of input and output systems related to the engine. This system records diagnostic trouble codes in the form of maintenance information. These DTCs become valuable data in fire investigations. If there is a physical malfunction connected to the vehicle"s electrical system and is related to an engine-related fire, the OBD system automatically records the cause of the malfunction. Therefore, this paper aims to propose a method to analyze the cause of vehicle fires objectively by using DTCs generated through the OBD system when a fire occurs.
목차
Abstract
1. 서론
2. OBD 및 센서 모니터링
3. 화재차량 분석
4. 결론
References
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