• 제목/요약/키워드: Vehicle Driving

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다양한 주행환경을 고려한 기준도로 평가 환경에서 V2V용 협력주행 통신장치 장착 실차 성능 평가 (The Safety Performance Test of Vehicle Equipped with V2V Device in Standard Roads Considering Various Driving Conditions)

  • 이혁;최재훈
    • 자동차안전학회지
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    • 제12권4호
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    • pp.48-53
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    • 2020
  • This paper describes in work which is currently underway to the minimum safety performance requirements and test methods of V2V based on IEEE 802.11p in vehicle level like below. - The ranges and positions at static and driving condition of vehicle for BSM (Basic safety message) - Various road conditions such as straight road, crossroad, slope-way Based on this study, We will define the minimum safety performance requirements and test methods of V2V in vehicle considering various road conditions.

자율주행 자동차 정지 거동에서의 인지 불확실성을 고려한 확률적 모델 예측 제어 (Stochastic Model Predictive Control for Stop Maneuver of Autonomous Vehicles under Perception Uncertainty)

  • 김상윤;조아라;이경수
    • 자동차안전학회지
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    • 제14권4호
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    • pp.35-42
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    • 2022
  • This paper presents a stochastic model predictive control (SMPC) for stop maneuver of autonomous vehicles considering perception uncertainty of stopped vehicle. The vehicle longitudinal motion should achieve both driving comfortability and safety. The comfortable stop maneuver can be performed by mimicking acceleration profile of human driving pattern. In order to implement human-like stop motion, we propose a reference safe inter-distance and velocity model for the longitudinal control system. The SMPC is used to track the reference model which contains the position uncertainty of preceding vehicle as a chance constraint. We conduct simulation studies of deceleration scenarios against stopped vehicle in urban environment. The test results show that proposed SMPC can execute comfortable stop maneuver and guarantee safety simultaneously.

Design of Model-based VCU Software for Driving Performance Optimization of Electric Vehicle

  • Changkyu Lee;Youngho Koo;Kwangnam Park;Gwanhyung Kim
    • Journal of information and communication convergence engineering
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    • 제21권4호
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    • pp.351-358
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    • 2023
  • This study designed a model-based Vehicle Control Unit (VCU) software for electric vehicles. Electric vehicles have transitioned from conventional powertrains (e.g., engines and transmissions) to electric powertrains. The primary role of the VCU is to determine the optimal torque for driving control. This decision is based on the driver's power request and current road conditions. The determined torque is then transmitted to the electric drive system, which includes motors and controllers. The VCU employs an Artificial Neural Network (ANN) and calibrated reference torque to enhance the electric vehicle's performance. The designed VCU software further refines the final reference torque by comparing the control logic with the torque calculation functions and ANN-generated reference torque. Vehicle tests confirmed the effective optimization of vehicle performance using the model-based VCU software, which includes an ANN.

Prescan을 활용한 ADAS 차량의 AEBS에 대한 사고 재현 시뮬레이션 연구 (A Study on the Accident Reconstruction Simulation about AEBS of ADAS Vehicle using Prescan)

  • 김종혁;이재형;김송희;최지훈;전우정
    • 자동차안전학회지
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    • 제15권4호
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    • pp.23-31
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    • 2023
  • In recent years, the technology for autonomous driving has been advancing rapidly, ADAS (Advanced Driver Assistance System) functions, which improve driver convenience and safety performance, are mostly equipped in recently released vehicles and range from level 0 to level 2 in autonomous driving technology. Among the various functions of ADAS, AEBS (Autonomous Emergency Braking System), which analyzes traffic accidents, is the most closely related to the vehicle's braking. This study developed a simulation technique for reproducing accidents related to AEBS based on real vehicle experimental data, and it was applied to the analysis of actual ADAS vehicle accidents to identify the causes of accidents.

상용 차량의 주행 중 발생하는 캡의 진동에 관한 연구 (A study of commercial vehicle cab vibration on the driving conditions)

  • 최병재;한인규;조정욱
    • 한국소음진동공학회:학술대회논문집
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    • 한국소음진동공학회 2014년도 추계학술대회 논문집
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    • pp.472-475
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    • 2014
  • Abnormal cab vibrations in the Y direction in commercial vehicles during driving(70~90kph) are not common vibrations that happen to vehicles during driving and can be an obstacle to normal driving. This study conducted Operation Deflection Shape(ODS) testing to identify the causes of those abnormal cab vibrations and find solutions for them and also a sine sweep test to find resonance and frequency in the cab suspension system and set directions for improvement. The study also altered the shape of the bush inner part for changes to the rigidity features of the cab bush in the Y direction and revised the design with optimal rigidity in the Y direction, thus improving abnormal cab vibrations in the Y direction during driving.

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승용차의 도심 주행패턴에 관한 연구 (A Study on the Driving Patterns for Passenger Car in the Metropolitan Area)

  • 정남훈;이우택;선우명호
    • 한국자동차공학회논문집
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    • 제11권1호
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    • pp.18-24
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    • 2003
  • Vehicle emission is one of the major sources of air pollution, and provides some undesirable effects on the atmospheric environment and human health. In this study, the driving data were recorded during road tests in Seoul metropolitan wet and analyzed by statistical techniques. The objective of the study is to analyze the driving Patterns of passenger car that influence on emissions in urban driving. The results show that the average speed is around 29.2 km/h, and the average fuel economy is 10.23 km/$\ell$. The vehicle speed of Seoul metropolitan area is slower, and the stop-and-go operation is more frequent than CVS-75 test mode which is used far emission and fuel economy test.

종방향 주행성능향상을 위한 Latent SAC 강화학습 보상함수 설계 (On the Reward Function of Latent SAC Reinforcement Learning to Improve Longitudinal Driving Performance)

  • 조성빈;정한유
    • 전기전자학회논문지
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    • 제25권4호
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    • pp.728-734
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    • 2021
  • 최근 심층강화학습을 활용한 종단간 자율주행에 대한 관심이 크게 증가하고 있다. 본 논문에서는 차량의 종방향 주행 성능을 개선하는 잠재 SAC 기반 심층강화학습의 보상함수를 제시한다. 기존 강화학습 보상함수는 주행 안전성과 효율성이 크게 저하되는 반면 제시하는 보상함수는 전방 차량과의 충돌위험을 회피하면서 적절한 차간거리를 유지할 수 있음을 보인다.

자율주행을 위한 라이다 기반의 실시간 그라운드 세그멘테이션 알고리즘 (LiDAR based Real-time Ground Segmentation Algorithm for Autonomous Driving)

  • 이아영;이경수
    • 자동차안전학회지
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    • 제14권2호
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    • pp.51-56
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    • 2022
  • This paper presents an Ground Segmentation algorithm to eliminate unnecessary Lidar Point Cloud Data (PCD) in an autonomous driving system. We consider Random Sample Consensus (Ransac) Algorithm to process lidar ground data. Ransac designates inlier and outlier to erase ground point cloud and classified PCD into two parts. Test results show removal of PCD from ground area by distinguishing inlier and outlier. The paper validates ground rejection algorithm in real time calculating the number of objects recognized by ground data compared to lidar raw data and ground segmented data based on the z-axis. Ground Segmentation is simulated by Robot Operating System (ROS) and an analysis of autonomous driving data is constructed by Matlab. The proposed algorithm can enhance performance of autonomous driving as misrecognizing circumstances are reduced.

상용차 탑재 대형엔진의 차량연비 개선 연구(II) (A Study for the Fuel Economy Improvement of a Heavy Duty Engine in Commercial Vehicles(II))

  • 류명석;두병만;구영곤
    • 한국자동차공학회논문집
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    • 제16권6호
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    • pp.104-108
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    • 2008
  • Recently, studies conducted by our research group, revealed the possibility for reducing BSFC, NOx and PM emissions to meet the Euro 4 & 5 legislations. The main objective of the present study is to get better fuel economy in commercial vehicles by considering real driving conditions. Firstly, in order to improve fuel economy on fields, specifically it is required to analyze the driving pattern and make the representative modes from real field data. Secondly, it is performed to make the engine dynometer test to optimize the fuel consumption by reflecting on the representative driving modes, based on the Korea 2008 emission legislation equal to the Euro 4. The engine components such as engine calibration, combustion chamber, turbocharger and ancilliaries were modified to optimize vehicle fuel economy over a typical customer drive cycle whilst still meeting the exhaust emission restrictions. Finally, these results were confirmed by field testing of vehicle equipped with the updated calibration engine. It was placed the two vehicles together traveling the same route and accomplishing the same amount of stops(back to back), in order to evaluate the fuel consumption in comparison to the current vehicle. Through several repeats such as the engine calibration and field test, we could get 3 % to 7.7 % vehicle fuel economy improvements compared to previous vehicle.

DEVELOPMENT OF INVERTER AND POWER CAPACITORS FOR MILD HYBRID VEHICLE (MHV) - TOYOTA "CROWN"

  • Shida, Y.;Kanda, M.;Ohta, K.;Furuta, S.;Ishii, J.
    • International Journal of Automotive Technology
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    • 제4권1호
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    • pp.41-45
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    • 2003
  • The 42V Mild Hybrid System has been released into market by Toyota for the first time in the world in 2001. The set-up employs an inverter unit to control the motor/generator (MG) electronically. The driving system called such as Toyota Mild Hybrid System (TMHS) has additional new functions to conventional internal combustion engines. When stopping vehicle, the engine stops promptly. When starting vehicle, by releasing the brake pedal MG starts the vehicle at the same time (EV-driving mode). When stepping on the accelerator pedal, or after a given period of time the engine firing occurs and the engine-driving mode starts. When running by motor, the power is supplied to the motor from 36V battery through the inverter. High outputs and instant responses are required for Inverter. At the same time, the compact volume is required to fit into the limited space of the engine room. The compact size and high output are also required to Power Capacitor used for this inverter. The power capacitors has been newly developed, shaped in "flat" type, suitably for the inverter. The points of developments on inverter and power capacitor are described in this paper.his paper.