• Title/Summary/Keyword: 차량 가속도 변화

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A Estimation Model of The Fuel Consumption Based on The Vehicle Speed Pattern (차량 속도패턴에 따른 연료소모량 관계식 산정)

  • Won, Min-Su;Gang, Gyeong-Pyo;Kim, Jeong-Wan
    • Journal of Korean Society of Transportation
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    • v.29 no.4
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    • pp.65-71
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    • 2011
  • It is practically hard to measure vehicle fuel consumption required to evaluate the energy-related governmental policies and traffic management strategies; the existing methods are too simplified due to the limited field data available. Existing methods are even unable to reflect the amount of fuel consumed when vehicles accelerate and decelerate, and such technical limitations have reduced the quality of the policy evaluation. This study proposes a new fuel consumption model that simultaneously considers the effects of both cruising speed and acceleration/deceleration of vehicles. A new fuel consumption model was developed based on the simulation data generated by AVL Cruise, a vehicle simulation program. The estimated by the proposed model was compared against the one from the existing method. Comparison results showed that the proposed model provided much reliable estimate (fuel consumption) than the other did.

Analysis of Car Following Model of Adaptive Cruise Controlled Vehicle Considering the Road Conditions According to Weather Circumstance (기상상황에 따른 노면상태를 고려한 첨단차량 추종거동 모형의 분석)

  • Kim, Tae-Uk;Bae, Sang-Hoon
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.12 no.3
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    • pp.53-64
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    • 2013
  • The car-following model is one of core models in Advanced Vehicle & Highway Systems (AVHS). The car-following model has been developed in aspects such as human factor and reduction error rates. However, the consideration of safety depending on weather condition has not been completed yet. In this paper, therefore, changes of driving condition for car-following due to different road condition were dealt with, and optimal safety distance corresponding to road condition such as dry, wet and snowy were computed. The GMIT(GM Model with Instantaneous T) model was picked over for simulation of adaptive cruise control applied the suggested optimal safety distance. As the results, the 1.7 times longer safety distance was required for wet road condition than dry road condition, and the 5.6 times longer safety distance was required for snowy road condition.

Prediction of Vehicle Acceleration Performance and Fuel Economy (차량의 가속성능 및 연비예측)

  • 김만식;김경환
    • Journal of the KSME
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    • v.33 no.10
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    • pp.861-870
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    • 1993
  • 여기서는 차량의 구동 성능을 예측하기 위하여 대우자동차에서 최근에 개발한 프로그램에 대하여 설명하고자 한다. 이 프로그램의 특징으로는 기능의 다양화 및 사용의 편리함을 들 수 있다. 이 프로그램은 수동 및 자동 변속기 장착 차량의 가속 성능과 연비를 예측할 수 있게 하였다. 정속 주행 시험과 같이 일정 속도의 주행 상태와, 가속 성능 시험에서와 같이 정해진 드로틀개도 변화에 따르는 주행 상태뿐 아니라, LA-4모두, Tokyo-10모드와 같이 시간에 따라 변화하는 속 도에 따른 주행 상태의 시뮬레이션도 가능하게 하였다. 주행 저항 계산방법으로는 풍동시험을 이용한 방법뿐 아니라 타행 (Coastdown) 시험을 이용하는 방법을 추가하였다. 예측 결과의 정 확도에 별로 영향을 주지않는 부분은 단순화시켜 모델링함으로써 입력 데이터 수를 작게 하였고 이로 인하여 사용자의 편리성을 높게 하였다.

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Analysis of Comfort on Transition Curve based on the Measured Data (실측데이터에 의한 완화곡선 승차감 평가)

  • Choi, Il-Yoon
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.16 no.5
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    • pp.3573-3578
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    • 2015
  • Transition curves are located between curve and straight section in railway. These transition curves are vulnerable to the ride comfort of passengers and safety of a vehicle because lateral acceleration, lateral jerk and roll velocity increase as curvature and cant change along the transition curves. In this paper, ride comfort on the transition curve was calculated on the basis of lateral acceleration and roll velocity measurements. The evaluation of ride comfort was conducted according to the methodology specified in European Standard. The distribution characteristics of the comfort index were investigated for the korean conventional line from the evaluation results. The influence of the curve radius and the vehicle speed on the ride comfort index was also investigated. Finally, the relationship between ride comfort and the rate of cant changes on transition curves was analyzed.

The Analysis of Acceleration Performance Resulted by Weight Variation for HEMU-430X high-speed train the Korea's next-generation electric multiple unit train (차세대 동력분산형 고속열차(HEMU-430X)의 중량변화에 따른 가속능력 분석)

  • Choi, Dooho;Cho, Hong-Shik
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.16 no.6
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    • pp.3731-3735
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    • 2015
  • This study reports the relationship between rollingstock weight and acceleration performance for HEMU-430X, the first electric multiple unit developed in Korea. While maintaining the consumed power, the total train weight was deliberately varied by 2%, by adding and removing weights, and the it was shown that the lighter train was found to have higher acceleration performance and hence better suited for maximum speed tests below the speed of 413km/h. According to the power consumption analysis based on the velocity data collected per 0.1 second, the balanced speed, when the traction force and air resistance become equal, was determined to be 419km/h for HEMU-430X, which is in agreement with tested result. It is expected that the analyses in this study will be utilized for the speed tests in the future.

Detection Method of Vehicle Fuel-cut Driving with Deep-learning Technique (딥러닝 기법을 이용한 차량 연료차단 주행의 감지법)

  • Ko, Kwang-Ho
    • Journal of the Korea Convergence Society
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    • v.10 no.11
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    • pp.327-333
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    • 2019
  • The Fuel-cut driving is started when the acceleration pedal released with transmission gear engaged. Fuel economy of the vehicle improves by active fuel-cut driving. A deep-learning technique is proposed to predict fuel-cut driving with vehicle speed, acceleration and road gradient data in the study. It's 3~10 of hidden layers and 10~20 of variables and is applied to the 9600 data obtained in the test driving of a vehicle in the road of 12km. Its accuracy is about 84.5% with 10 variables, 7 hidden layers and Relu as activation function. Its error is regarded from the fact that the change rate of input data is higher than the rate of fuel consumption data. Therefore the accuracy can be better by the normalizing process of input data. It's unnecessary to get the signal of vehicle injector or OBD, and a deep-learning technique applied to the data to be got easily, like GPS. It can contribute to eco-drive for the computing time small.

Estimation the Critical Accelerations for Fuel Consumption and CO2 Emission When Starting a Passenger car (출발가속주행시 연료소모 및 이산화탄소 배출량 임계가속도 추정)

  • Choi, Eun-jin
    • Proceedings of the Korean Society of Disaster Information Conference
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    • 2015.11a
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    • pp.201-202
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    • 2015
  • 과거 연료소모량과 오염물질 배출량을 추정하기 위한 연구에서는 주로 속도변수를 이용하였으나, 속도의 변화에 따른 연료소모량 및 오염물질 배출량의 변화를 올바르게 반영하지 못하는 문제점이 대두되었다. 이러한 문제점을 극복할 수 있는 대안으로 평가받는 것이 가속도이다. 이처럼 가속도 변수가 중요하게 다루어지고 있으나 여전히 연료소모량이나 오염물질 배출량과 관련하여 급가속을 판단할 만한 기준이 모호하다. 이에 본 연구에서는 연료소모 및 $CO_2$ 배출량을 증가시켜 급가속으로 판단할 수 있는 가속도 임계치를 추정하고자 하였다. 가속도 임계치 및 모형추정을 위해 LPG 중형 승용차량에 장착한 차량 정보 저장장치로부터 가속 주행실험시 수집한 실시간 데이터를 수집 분석하였다. 가속의 특성상 동일한 가속도라 할지라도 정지상태인지 여부에 따라 동일한 가속도에 대한 연료소모량, $CO_2$ 배출량이 상이하게 나타난다. 따라서 실험을 통해 정지상태에서 가속시 관성을 극복하기 위한 동력이 요구되는 속도의 범위를 확인하고 이중 출발 가속주행시 임계가속도를 도출하였다. 가속 주행실험 결과 연료소모 및 $CO_2$ 배출 증가량이 급격히 증가되는 임계가속도를 도출하기 위해 CART 분석을 이용하였으며, 그 결과 정지 상태에서 가속하는 경우 $2.598m/s^2$, 의 가속도가 연료 및 $CO_2$ 배출량을 크게 증가시키는 임계 가속도인 것으로 추정되었다.

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A Study on Improvement of Aiming ability using Disturbance Measurement in the Firing Vehicle (사출 차량에서의 외란을 이용한 정밀 지향성 향상 연구)

  • Yoo, Jin-Ho;Lee, Dong-Ju
    • Journal of the Korean Society of Propulsion Engineers
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    • v.11 no.2
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    • pp.62-70
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    • 2007
  • The aiming ability is a to improve accuracy performance of the firing vehicle. This paper describes the detection method of chatter vibration using disturbance acceleration in the pointing structure. In order to analysis vibration trends of the pointing system occurred during vehicle drive, acceleration data was processed by using data processing algorithm with moving average and Hilbert transform. Specific mode constants of acceleration were obtained under various disturbances. Vehicle velocity, road condition, property of pointing structure were considered as factors which make change of vibration trend in vehicle dynamics. Finally, back propagation neural networks have been applied to the pattern recognition for the classification of vibration signal in various driving conditions. Results of signal processing were compared and analysed.

A Study on the Influence of Strut Insulator Aging on Vehicle Noise (스트러트 인슐레이터 열화가 차량 소음에 미치는 영향에 관한 연구)

  • Son, Seong-Hyun;Kang, Sung-Su;Kim, Gug-Yong;Park, Soon-Cheol
    • Elastomers and Composites
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    • v.45 no.4
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    • pp.291-297
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    • 2010
  • Strut insulator in a vehicle is an important part to prevent noise and vibration which is created for driving on the road. Most of the viscoelastic-mounts are made of rubber and natural rubber is the key ingredient. These rubber products show well performance for the initial time, but they will degrade after they are exposed to a high temperature circumstance and a cyclic load. NVH performance and comfort in a vehicle were decreased by these degradation of the rubber. In this study, spring displacement in a vehicle was measured to make a profile in the simulation test performed with an acceleration sensor. In addition, acceleration level, rubber permanent deformation and hardness of the rubber were measured according to drive distance and vehicle model.

Evaluation of Horizontal Curve Transition Section Using Lateral Acceleration Model (횡방향 가속도 모영을 이용한 곡선부 도로의 변이구간 평가에 관한 연구)

  • Park, Je-Jin;Kim, Yong-Gil;Ko, Yeong-Sun;Ha, Tae-Jun
    • International Journal of Highway Engineering
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    • v.10 no.2
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    • pp.135-143
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    • 2008
  • According to the present highway design criteria, there are minimum standards which re ade from special design speeds. If some highways are satisfied the standards, it regards he highway as safety. In reality, however, most drivers drive a car at different speed compared with design speed. It is very dangerous for drivers especially at transition sections between curve and horizontal curve sections. Hence, this study calculated the rate of changing and horizontal acceleration at each section. Moreover, this study evaluated thesafety of design at curve transition sections and then calculated lateral acceleration and curve radii. This study found the minimum standards which are using as basic safety standards are not appropriate for measuring driver's safety.

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