• 대한기계학회:학술대회논문집
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• 대한기계학회 2000년도 춘계학술대회논문집A
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• pp.505-510
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• 2000

Vehicle performances such as fuel consumption and catalyst-out emissions are affected by a driving pattern, which is defined as a driving cycle with the grade in this study. We developed an algorithm to recognize a current driving pattern by using a neural network. And this algorithm can be used in adapting the driving control strategy to the recognized driving pattern. First, we classified the general driving patterns into 6 representative driving patterns, which are composed of 3 urban driving patterns, 2 suburban driving patterns and 1 expressway driving pattern. A total of 24 parameters such as average cycle velocity, positive acceleration kinetic energy, relative duration spent at stop, average acceleration and average grade are chosen to characterize the driving patterns. Second, we used a neural network (especially the Hamming network) to decide which representative driving pattern is closest to the current driving pattern by comparing the inner products between them. And before calculating inner product, each element of the current and representative driving patterns is transformed into 1 and -1 array as to 4 levels. In the end, we simulated the driving pattern recognition algorithm in a temporary pattern composed of 6 representative driving patterns and, verified the reliable recognition performance.

• 기술사
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• 제26권3호
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• pp.34-43
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• 1993

• 한국ITS학회 논문지
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• 제14권6호
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• pp.14-20
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• 2015

국토교통부는 2020년까지 수송부문 온실가스 배출량의 감축목표를 34.3%로 설정하였다. 목표달성을 위해 에코드라이빙 교육 및 정보를 제공하고 있으나 배출량 감축효과가 미비하다. 따라서 본 연구는 연료 효율적인 최적주행전략 모형의 개발을 목적으로 하였다. 종단경사도 및 길이가 다양한 도로지형을 생성하고 주행모드를 바탕으로 하는 시나리오별 속도 프로파일을 Comprehensive Modal Emission Model에 적용하여 연료소모량을 산정하였다. 연료소모량이 최소가 되는 시나리오와 속도변화량을 도출하였다. 도출된 시나리오와 속도변화량을 기반으로 최적주행전략 모형을 개발하였다. 개발된 모형을 검증하고자 실차테스트를 수행하여 일반 운전자의 속도 데이터를 수집하였다. 개발된 모형에 의해 생성된 속도 프로파일과 일반운전에 생성된 속도 프로파일을 분석하고 각각 연료소모량을 산정하였다. 최적주행 시 소모된 연료소모량이 일반운전보다 평균 11.8% 감축하는 것으로 분석되었다.

• 전기학회논문지P
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• 제58권3호
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• pp.270-275
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• 2009

In a high performance motor driving system, PI controller which is simple implementation is frequently used. But, PI controller has various problems because of an integrator saturation. Therefore, the various methods of an anti-windup have been studied to solve such problems. But, conventional anti-windup methods have still problem with large overshoot and long settling time in the driving conditions. In this paper, to improve such problem, it is proposed a new anti-windup strategy. Using LPF and PI controller, it is improved an overshoot and reduced settling time. Simulation results have verified usefulness of the proposed method using MATLAB/Simulink.

• 자동차안전학회지
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• 제10권1호
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• pp.32-37
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• 2018

This paper proposes autonomous speed control strategy for an Electric Vehicle on urban road. SNU campus road is used to reperesent urban road situation. Motor efficiency of driving on campus circulation road can be improved by controlling velocity properly. Given information of campus road, especially slope of road, acceleration is selected from candidate, considering consumed power, human factor and driving time. To apply urban situation, preceding vehicle is also considered. With preceding vehicle, acceleration is defined according to clearance and relative velocity. Acceleration is bounded in normal range. Proposed acceleration control method is activated with proper velocity range for campus circulation road. With acceleration control, motor efficiency becomes better than driving with constant vehicle. To evaluate the performance of proposed acceleration controller, simulation study is conducted via MATLAB.

• 한국철도학회:학술대회논문집
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• 한국철도학회 2008년도 춘계학술대회 논문집
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• pp.642-646
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• 2008

Signaling system, for which ensuring safe train operation, must be a fail-safe system with higher reliability and safety. TCS has made significant improvements both on signaling system, from relay based ground signaling system to computer based on-board system, and on driving mode, form low speed and low density driving to TCS supporting high speed and high density driving. In addition, TCS has been applied to rolling stock with a wide variety of context according to the characteristics of rolling stock or railway infrastructure. In this paper, therefore, we confirmed the basic concept of ATC system and analyzed its development process in technology context via referencing international cases and ATC systems introduced and applied in Korea. Based on those analyses, we suggested the new TCS development strategy for its suitable application to high speed line, conventional line and metro, and we also provided technical considerations related to TCS application.

• 전기학회논문지
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• 제59권3호
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• pp.555-561
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• 2010

In this paper, the constant current controller is designed to regulate the driving current of a power LED. The controller design model of the power LED including its driving circuit is proposed to design the constant current controller. A buck converter is also introduced to drive the power LED. The PI-based digital controller is implemented to validate the proposed strategy for the power LED driving.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 1998년도 제13차 학술회의논문집
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• pp.173-178
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• 1998

The strategy presented in this paper is based on modifying the past patterens and adjusting the content of the driving patterns by a new algorithm. Learning happens during the driving procedure of a mobile vehicle. The purpose of this paper is to solve the problem how to realize the hardware neurocomputer by back propagation (BP) neural network learning on-line.

• International Journal of Automotive Technology
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• 제7권5호
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• pp.619-624
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• 2006

This paper presents design of a vehicle stop-and-go cruise control strategy based on analyzed results of the manual driving data. Human drivers driving characteristics have been investigated using vehicle driving data obtained from 100 participants on low speed urban traffic ways. The control algorithm has been designed to incorporate the driving characteristics of the human drivers and to achieve natural vehicle behavior of the controlled vehicle that would feel comfortable to the human driver under low speed stop-and-go driving conditions. Vehicle following characteristics of the cruise controlled vehicle have been investigated using a validated vehicle simulator and real driving radar sensor data.

• 한국자동차공학회논문집
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• 제14권2호
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• pp.32-38
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• 2006

A vehicle adaptive cruise control strategy based on human drivers' driving characteristics has been investigated. Human drivers driving characteristics have been analyzed using vehicle test data obtained from 125 participants. The control algorithm has been designed to incorporate the driving characteristics of the human drivers and to achieve natural vehicle behavior of the controlled vehicle that would reduce the workload of the human driver. Vehicle following characteristics of the cruise controlled vehicle have been compared to real-world driving radar sensor data of human drivers using a validated vehicle simulator. and compare nominal cruise control and adaptive cruise control.