• Proceedings of the Korean Society of Precision Engineering Conference
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• 1996.11a
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• pp.1063-1066
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• 1996

On the prediction of driving performance, an acceleration performance is normally simulated in stall starting condition which is the engine status of full-throttle and high-speed. The lack of transient engine torque data makes the difficulty of predicting an acceleration performance on engine-idle start condition. A experimental equation of transient engine torque is derived from vehicle performance test data. It is applied to simulation the accleration performance prediction on idle starting condition.

• Transactions of the Korean Society of Automotive Engineers
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• v.9 no.4
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• pp.62-68
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• 2001

In an early engine development, it is highly required to determine the Key Test Points at the main driving, zone and lessen those points to reduce a test duration. This paper describes that it is possible not only to predict the cycle fuel consumption[g/km], emissions[g/km] from engine data(BSFC[g/kWh], emissions[g/kWh]) but also to confirm the emission regulation potential before a vehicle test.

• Journal of the korean Society of Automotive Engineers
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• v.4 no.1
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• pp.40-45
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• 1982

The spring constant and damping coefficient are vital factors of ride comfort and driving stability in the vibration of the vehicle which is mainly induced by a variety of the surface irregularity. This paper reviewed the optimum condition of the damping factor derived from the typical model of two mass-two degrees of freedom. Through the evaluation and discussion, it was presented that the spring of the torsion bar type was not effective for the driving stability in the large displacement of the wheel, and also that the damper with progressive performance has to be fundamentally selected to meet the requirement of the driving suability when this kind of spring is used as a suspension system of the vehicle.

• Journal of Auto-vehicle Safety Association
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• v.11 no.3
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• pp.19-29
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• 2019

Recently, autonomous vehicles have been studied actively. Autonomous vehicles can detect objects around them using their on board sensors, estimate collision probability and maneuver to avoid colliding with objects. Many algorithms are suggested to prevent collision avoidance. However there are limitations of complex and diverse environments because algorithm uses only the information of attached environmental sensors and mainly depends on TTC (time-to-Collision) parameter. In this paper, autonomous driving algorithm using I2V communication-based cooperative sensing information is developed to cope with complex and diverse environments through sensor fusion of objects information from infrastructure camera and object information from equipped sensors. The cooperative sensing based autonomous driving algorithm is implemented in autonomous shuttle bus and the proposed algorithm proved to be able to improve the autonomous navigation technology effectively.

• IEMEK Journal of Embedded Systems and Applications
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• v.14 no.3
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• pp.143-150
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• 2019

In this paper, we have developed a module that prevents a driver from using mobile phone while driving. The module is equipped with a vibration sensor to determine if the vehicle is running, a BLE module to transmit the status of the module and a speaker to transmit audible/unaudible sound to the mobile terminal where GUI application is installed. If the vehicle is judged to be moving, the application is activated and the touch function of the mobile phone is blocked. Other data are also transmitted depending on the state of the module, which informs forced module removal, battery failure, or sleep mode of the module.

• Journal of Auto-vehicle Safety Association
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• v.15 no.4
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• pp.58-64
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• 2023

The adoption of hydrogen-powered Elec is expanding globally. Hydrogen is recognized as a potentially hazardous energy source, and safety assessment is crucial for the development of plans to supply hydrogen-powered electric buses. Hydrogen gas leakage can have a significant impact during bus operations, and continuous hydrogen leakage in hydrogen-powered vehicles can result in fatal accidents. In this study, information about hydrogen leakage is collected through sensors installed within the vehicles and is measured when the sensor detects a leak. The study also proposes the use of Pseudo Fuel Leakage (PFL, %) as an additional indicator for evaluating and monitoring hydrogen safety and leakage.

• Journal of ILASS-Korea
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• v.29 no.1
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• pp.16-22
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• 2024

The EU (European Union) was introduced Euro-6e in 2023. Recently, the EU prepare to introduce Euro-7. One of difference Euro-6e and Euro-7 is test route condition. This study developed 5 test routes that have different characteristics and severity. The severity of test routes was made by traffic and road gradient. And this study was conducted RDE test on 5 test routes for Light-Duty diesel vehicle (Euro-6d). Based on the test results, the emission characteristics of CO₂ and NOx were analyzed according to the severity of the test routes. Especially, 4 test routes were satisfied normal driving condition of Euro-7 and other test route was satisfied extended driving condition of Euro-7.

• Transactions of the Korean Society of Automotive Engineers
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• v.13 no.3
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• pp.35-40
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• 2005

In the present study, the influence of operating conditions on fuel economy for hybrid electric vehicle was analyzed. In order to accomplish this, vehicle speed, engine speed, battery current and voltage, SOC (state of charge),motor speed and torque, generator speed and torque, engine coolant temperature etc. were measured in real time. The tests were carried out under different driving cycles which are urban and highway cycles, KOREA CITY cycle and on-road driving, and also under various operating conditions such as different initial SOC, with or without regenerative braking etc.. Generally, conventional gasoline engines show a poor fuel economy at stop and go driving, because braking energy is wasted and the engine is operated in low thermal efficiency regions. However, in case of hybrid vehicles, higher fuel economy can be obtained because of utilizing the maximum thermal efficiency regions of engine, idling stop of engine, and regenerative braking etc..

• Journal of Institute of Control, Robotics and Systems
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• v.20 no.12
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• pp.1181-1188
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• 2014

In this paper, we propose a novel concept foran unmanned delivery service using a cooperative heterogeneous unmanned system consisting of a self-driving car and an unmanned aerial vehicle (UAV). The proposed concept is suitable to deliver parcels in high-density and high-rise urban or residential areas. In order to achieve the proposed concept, we will develop acooperative heterogeneous unmanned system. Customers can order goods using a smartphone application and the order information, including the position of the customer and the order time, and the package is transported automatically by the unmanned systems. The system assigns the tasks suitable for each unmanned vehicle by analyzing it based on map information. Performance is validated by experiments consisting of autonomous driving and flight tests in a real environment. For more evaluation, the landing position error analysis is performed using circular error probability (CEP).

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2002.05a
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• pp.256-259
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• 2002

Recently, most vehicles has the Automatic transmission system as their transmission system. The automatic transmission system operates with fixed shift patterns. In the opposite of manual operation, it is easy and convenient for driving. Though these merit, the system can not evaluate the driver's intension because of usage of firmed shift pattern. Especially, when the load has declination the AT system must operate for engine break effect. Namely, if the vehicle drives on the load of decrease, the acceleration of the vehicle goes to high then. At that time, the shift goes to down position the vehicle has some negative acceleration with the resistance of engine. To consider driver's intension in this case, we must consider both the driving intensity of driver and the status of load. In this paper, we developed flexible automatic transmission system by using the proposed moduled neural networks which can learn the status of the load and driver's intensity As a result, we compare the transmission system using firmed shift pattern and the proposed transmission system and show the good performance in the change of shift position.