• Journal of the Korea Institute of Information and Communication Engineering
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• v.15 no.12
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• pp.2582-2589
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• 2011

This Paper proposed the prediction method of fuel consumption from vehicle diagnosis informations through OBD-II Interface. We assumed mass air flow (MAF), shor-term fuel trim (STFT), and long-term fuel trim (LTFT) had a relationship with fuel consumption. We got the output as fuel-consumption from MAF, STFT, and LTFT as input variables. We had modelling as combustion reaction equation with OBD-II data and fuel consumption data supported by automotive company in real. In order to verify the effectiveness of proposed method, 5 km real road-test was performed. The results showed that the proposed method can estimate precisely the fuel consumption from vehicle data.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2012.10a
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• pp.369-373
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• 2012

최근 강화된 국내외의 배출가스 규제 조건을 충족시키기 위해, 사용자의 요구대로 연료의 분사시기와 분사량을 조절할 수 있는 CRDI ECU 제어 알고리즘의 개발이 필요하다. 따라서 본 논문에서는 산업용 CRDI 엔진 전용 ECU에 적용할 수 있는 노킹 판별 및 엔진 밸런스 보정이 가능한 노킹 분석 시뮬레이터를 개발하였다. 개발한 노킹 분석 시뮬레이터의 결과를 OBD-II 표준을 사용하여 차량 위주의 진단기를 개발하여 운전자가 직접 차량을 진단할 수 있는 운전자 중심의 진단 서비스를 제공하고자 한다. 이를 위해 자동차 고장진단 신호 및 센서 출력 신호를 유선시스템과 무선 시스템인 블루투스 모듈을 이용하여 실시간 통신이 제공 될 수 있는 OBD-II 진단기 S/W 설계 방안을 제안함으로써 차량의 연비를 향상시키고, 유해 배출가스의 발생을 최소화하여 엔진 효율성의 개선 방안을 제시하고자 한다.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.15 no.6
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• pp.1277-1282
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• 2011

Recently, many car drivers were damaged by gas station which support similar oil product and not quantitative gas. It were expected to increase above-mentioned damages. By using similar oil products, caused damage are working of lubrication in the fuel line, elf-cleaning function, the part of the early deterioration, impure accumulation in the fuel line, toxicity material in exhaust emissions and unidentified chemical reaction. To prevent these damages, proposed system use in-vehicle state data with OBD-II protocol, measure quantitative gas and similar oil. In this paper, there have implemented similar oil identification and quantitative gas system through OBD-II scanner to provide WiFi communcation by using WinCe development Board.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2011.05a
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• pp.281-284
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• 2011

Recently, many drivers was the damage caused by similar oil product sales and gas station by not using quantitative gas. so, these damages is expected to rise damages by increasing these problem. By using similar oil products, caused damage in the fuel lines' working of lubrication and self-cleaning function for the occurred trouble in the part of the early obsolescence and the accumulation of impurities in the fuel lines, combustion rate due to the difference between retail gasoline engine, the burden of weight, Toxic substances in exhaust emissions, engine oil and unresolved issue is the chemical reaction can occur. to prevent these damages, using the system use in-vehicle state data with OBD-II protocol and measure quantitative gas and similar oil. In this paper, there implement similar oil identification and quantitative gas system through OBD-II scanner to provide WiFi communcation by using WinCe development Board.

• Journal of the Korea Society of Computer and Information
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• v.16 no.12
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• pp.167-174
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• 2011

This paper described the estimation methods of CO2 emission of vehicles. The important of energy and environment has emerged in the world, and the field of vehicle's development as well. CO2 was particularly the object of emission-regulation that caused of global warming. There are performance comparison methods by driving mileage, International Panel on Climate Change (IPCC) and chemical equation for the combustion of Octane. We took the measurement by getting data through OBD-II port from vehicle covered 5 km on road. We got the diagnosis information, specific mileage and fuel consumption in this experiment. We are able to expect similar CO2 emission by the methods in the normal speed driving. Also, we can make more realistic approach of CO2 emission by the method of estimation by IPCC and chemical equation for the combustion of Octane in rapid acceleration driving.

• Proceedings of the Korea Information Processing Society Conference
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• 2012.11a
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• pp.1238-1241
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• 2012

오늘 날 무선 통신의 범위나 그 서비스가 널리 사용됨에 따라, 무선 통신 모듈의 개발 기술 및 그 활용도가 점차 확대되고 있으며 그에 따라서 IT 융합 산업들이 많이 나타나고 있는 추세이다. 본 연구는 차량의 상태를 가져오기 위하여 OBD-II 통신을 이용하고 획득한 데이터를 외부 서버로 전송하여 차량 내부에서 상태를 확인하는 시스템이 아닌 차량 외부에서 확인이 가능한 시스템을 구현하였다. 차량에 장착 된 각종 OBD-II 정보 및 다른 센서들로부터 정보를 읽고 사용자가 보기 쉽게 변환한 후, 무선 통신 모듈을 이용하여 외부 데이터 서버로 전송을 하는 차량 상태 확인 시스템을 구현하였다. 개발한 시스템은 가상의 차량 상태 시뮬레이터와 실제 차량에서 테스트를 진행하였으며 발생된 차량 내부정보는 OBD-II 커넥터를 이용하여 전송하였으며, 본 시스템은 에러 및 손실 없이 해당 데이터가 수신 되는 것을 확인하였다. 또한 이 데이터를 무선 통신 모듈 이용하여 외부 서버로 데이터를 전송을 하였을 때 똑같은 데이터가 에러 없이 송신되는 것을 확인 하였다.

• Journal of the korean Society of Automotive Engineers
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• v.22 no.4
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• pp.39-43
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• 2000

• 전자공학회논문지 IE
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• v.48 no.2
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• pp.19-25
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• 2011

This paper presented neural network modeling method using vehicle data to predict fuel consumption. To acquire data for training and testing the proposed neural network, medium-class gasoline vehicle drove at downtown and parameters measured include speed, engine rpm, throttle position sensor (TPS), and mass air flow (MAF) as input data, and fuel consumption as target data from OBD-II port. Multi layer perception network was used for nonlinear mapping between the input and the output data. It was observed that the neural network model can predict the vehicle quite well with mean squared error was $1.306{\times}10^{-6}$ for the fuel consumption.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.17 no.6
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• pp.1292-1305
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• 2013

Along with the strengthening vehicle environmental regulations and the growing needs for the energy consumption reduction technology, the researches on the engine idle stop system, have been briskly carried out around the automobile manufacturers before the development of alternative energy. Furthermore, there is a movement to disseminate the environment friendly idle stop system by combining the system to the generalized smart key system to not only increase purchasing but also provide the convenience and save the energy as well. In this paper, we designed and implemented the idle stop system algorithm for the aftermarket smart key system with the OBD-II interface. The implemented start stop system is capable of controlling two independent systems, the smart key system and intelligent idle stop system, on a single ECU. In addition, the implemented start stop system standardizes the communication interface with the vehicles to reduce the time required for installing the start stop system to the various vehicles, and satisfies every standard response time limit for the vehicle status request signals.

• Journal of Information Processing Systems
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• v.13 no.2
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• pp.285-304
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• 2017

Big data information and pattern analysis have applications in many industrial sectors. To reduce energy consumption effectively, the eco-driving method that reduces the fuel consumption of vehicles has recently come under scrutiny. Using big data on commercial vehicles obtained from digital tachographs (DTGs), it is possible not only to aid traffic safety but also improve eco-driving. In this study, we estimate fuel consumption efficiency by processing and analyzing DTG big data for commercial vehicles using parallel processing with the MapReduce mechanism. Compared to the conventional measurement of fuel consumption using the On-Board Diagnostics II (OBD-II) device, in this paper, we use actual DTG data and OBD-II fuel consumption data to identify meaningful relationships to calculate fuel efficiency rates. Based on the driving pattern extracted from DTG data, estimating fuel consumption is possible by analyzing driving patterns obtained only from DTG big data.