Seong-jin Jang

A Study on Development of Engine Fault Diagnostic System

This study implemented a mobile diagnosing system that provides user-centered interfaces for more precisely estimating and diagnosing engine conditions through communications with the self-developed ECU only for industrial CRDI engine use. For the implemented system, a new protocol was designed and applied based on OBD-II standard to receive engine data values of the developed ECU. The designed protocol consists of a message structure to request data transmission from a smartphone to ECU and a response message structure for ECU to send data to a smartphone. It transmits 31 pieces of engine condition information simultaneously and sends the trouble diagnostic code. Because the diagnostic system enables real-time communication through modules, the engine condition information can be checked at any time. Thus, because when troubles take place on the engine, users can check them right away, quick response and resolution are possible, and stable system management can be expected.

A study on scheduling algorithm for optimization of traffic distribution in MOST GATEWAY

To ensure infotainment and telematics services, much attention is placed on MOST. The existing researches suggested MOST25/150 Bridge but did not consider the problems arising from the differences in bandwidth when the data are transmitted from MOST 150 to MOST 25. To address these problems, a scheduling algorithm should be applied. Therefore, this paper proposes the MOST GATEWAY, which can form a network by organically connecting the MOST25 and MOST150 networks. To minimize the delay and data losses caused by the differences in bandwidth between MOST 150 and MOST 25, the existing FIFO, FQ, WRR, and CBQ algorithms were applied to MOST GATEWAY, and the performances were analyzed. The results of the analysis showed that the CBQ algorithm was the most outstanding in terms of the data-processing load. It aims to consequently propose scheduling algorithm improvement measures suitable to cars.

A study on dynamic gateway system for MOST gateway scheduling algorithm in MOST25 and MOST150 networks

In recent years, the driver needs the convenience of their vehicles and that there is an increasing requirement. Many researches have been mainly focused on MOST Networks to provide quality of multimedia service. The MOST network has different protocols, such as MOST25, MOST50, and MOST150, requiring gateways to send and receive information. In the case of isochronous and Ethernet channel data that can be supported only with MOST150, when data is transmitted from MOST150 to MOST25, it cannot be treated by MOST25, leading to data loss and transmission delays. Thus, this study proposes a MOST gateway system to connect the MOST25 and MOST150 networks to form a single network. It aims to use the simulation tool NS-2, to analyze the FIFO, FQ, WRR, CBQ scheduling algorithm performance between the MOST25 and MOST150 networks, and to consequently propose scheduling algorithm improvement measures suitable to cars.

A Study on CKP Signal Collection Algorithms for Knocking Identification and Development of Engine Diagnosis System in CRDI ECU

As an abnormal combustion caused by the compression and spontaneous ignition of unburned mixture during the latter process of combustion, if knocking occurs, it will result in loss of engine power as well as severe damage to engine. Therefore, it is very significant to monitor knocking. Generally, a practical method of monitoring knocking is to use a knocking sensor. However, by this method it is not possible to distinguish between engine’s own vibrations and knocking if the vibrations match up with the range of the knocking sensor signal for the use of detection of knocking. In this study, knockking was diagnosed by way of using the signals of CKP sensor which is basically installed in the engine, instead of using such a problematic knocking sensor. Moreover, a mobile diagnostic system based on OBD-II for industrial CRDI engine has been developed. Since the developed engine diagnosis system makes it possible for an administrator to monitor automotive information in real time wihtout any other equipment, the person may promptly respond to occurance of malfunction in engine.

Development of Knocking Analysis Algorithms for Fuel Reduction in CRDI Engine

This study developed the knocking analysis algorithms for fuel redection applicable to the ECU exclusive to the industrial CRDI engine in order to meet the enhanced emission standards. In order to develop algorithms to determine diesel knocking using the operating principles of CKP and CMP among the input elements of CRDI engine control ECU. The development of the algorithms has enabled to adjust fuel injection timing and amount. Thus, this study aims to improve engine efficiency and to reduce emissions.

Development of Knocking Identification and Engine Balance Correction Algorithms for CRDI Engine Electronic Control Unit

In order to apply CRDI engine as an industrial engine which can satisfy the criteria of emission control law recently reinforced domestically and internationally, it is intended to develop an engine control algorithm that can control the ECU for injection timing and injection volume at users discretion which used be done only by manufacturer, and use it for the purpose of test and evaluation of engine performance improvement and the reduction of emission gas. In order to develop such emulator dedicated to CRDI diesel engine, an efficient solution to improve fuel-efficiency and reduce the emission of harmful gas was suggested through detecting diesel knocking using the operating principles of CKP and CMP among the input elements of CRDI engine control ECU and proposing a design methodology for engine balance adjustment algorithm.

Implement of Knocking diagnostic algorithm and design of OBD-II Diagnostic system S/W on common-rail engine

In order to meet the recently enhanced emission standards at home and abroad, it is necessary to develop the CRDI ECU control algorithm that users can adjust fuel injection timing and amount in response to their needs. Therefore, this study developed the simulator for knocking analysis that enables knocking discrimination and engine balance correction applicable to the ECU exclusive to the industrial CRDI engine. The purpose of this study is to provide the driver-oriented diagnostic service that enable drivers to diagnose vehicles directly by developing diagnostic devices for vehicles with ths use of the results of the developed simulator for knocing analysis according to the OBD-II standards. For this purpose, this study aims to improve the fuel efficiency of vehicles by proposing the S/W design method of the OBD-II diagnosis device that can provide real-time communcations with the use of wired system and bluetooth module as a wireless system to send and recevice automobile fault diagnosis signal and sensor output signal, and to suggest an improvement for engine efficiency by minimizing the generation of harmful exhaust gas.

A Study on Knocking Analysis Simulator Based on CRDI Engine ECU

In order to meet the recently enhanced emission standards at home and abroad by applying CRDI (Common Rail Direct Injection) diesel engines to industrial engines, this study developed the CRDI ECU control algorithm that users can adjust fuel injection timing and amount. This study aimed to improve fuel economy and to reduce harmful gas emissions effectively by developing the algorithm distinguishing diesel knock and long tooth with the use of CKP and CMP sensors among the input factors of CRDI engine control ECU, and by adjusting engine balance through the development of algorithm that can determine when adjusting the fuel injection timing and amount, and distinguish abnormalities of engines.

A study on traffic management methods in MOST GATEWAY system

With the recent rise in the use of automotive electronic-control systems and the recent technological advances, intelligent vehicles are increasingly being highlighted. Further, with the increasing integration of many multimedia devices in vehicles, studies on MOST have been actively conducted for the last several years. Vehicles equipped with MOST25 need to replace all MOST150-related devices to receive enhanced services, such as higher bandwidths and Ethernet, incurring high network building costs and consequently weakening their competitiveness. Prompt technological development is needed to address such high costs before it becomes too late. This thesis presented MOST GATEWAY, which can form a network by organically connecting the MOST25 and MOST150 networks. To minimize the delay and data losses caused by the differences in bandwidth between MOST 150 and MOST 25, the existing FIFO, FQ, WRR, and CBQ algorithms were applied to MOST GATEWAY, and the performances were analyzed. Finally, we present an improvement scheme of the efficiency and scalability.

A Study on Dynamic Gateway System for MOST GATEWAY Scheduling Algorithm

To ensure infotainment and telematics services, much attention is placed on MOST. The MOST network has different protocols, such as MOST25, MOST50, and MOST150, requiring gateways to send and receive information. In the case of ischronous and Ethernet channel data that can be supported only with MOST150, when data is transmitted from MOST150 to MOST25, it cannot be treated by MOST25, leading to data loss and transmission delays. Thus, this study proposes a MOST gateway system to connect the MOST25 and MOST150 networks to form a single network. It aims to use the simulation tool NS-2, to analyze the CBQ scheduling algorithm performance between the MOST25 and MOST150 networks, and to consequently propose scheduling algorithm improvement measures suitable to cars.