• Title/Summary/Keyword: Vehicle Type

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A Study on the vehicle Shudder Associated with Axial Force of Tripod Joint For Automobile (자동차용 등속조인트의 Axial Force와 Vehicle Shudder(II))

  • 오승탁
    • Transactions of the Korean Society of Automotive Engineers
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    • v.5 no.6
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    • pp.53-63
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    • 1997
  • This study examines the influence of some dimensional errors on the shudder-type disturbance of the tripod joint and vehicle, using an experimental evaluation and related simulation. With the introduction of the concept of influence factor, the sensitivities of shudder-type disturbance can be evaluated as the ratio of the difference between the ideal value without dimensional errors and actual value with them in the tripod joint and vehicle. Futhermore, influence factors calculated in this study can be utilized as a basic design data for the practical application of the tripod joint to an automobile design.

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Shock and vibration analysis of a tractor-trailer type vehicle system with air suspension (공기 현가 장치를 장착한 트랙터-트레일러형 차량 시스템의 충격진동 해석)

  • 김종길;하태완
    • Journal of the Korea Institute of Military Science and Technology
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    • v.3 no.2
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    • pp.15-22
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    • 2000
  • Shock and vibration characteristics of a tractor-trailer type vehicle system with air suspension and air coupler running on a single bump road are investigated. The vehicle system is modelled and solved to two types of models, i.e. rigid-multi-body and flexible-multi-body model, by ADAMS and NASTRAN software. And the shock impulse is given by a single bump model on the road. When the analysis results of the rigid-multi-body model is compared with those of the flexible-multi-body model, it is revealed that the vibration and accelerations of the latter model are more repetitive and larger than the former.

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Design of Outer Rotor Type In-Wheel SRM for Welfare Neighborhood Electric Vehicle (복지형 NEV용 외전형 In-Wheel SRM 설계)

  • Jeong, Kwang-Il;Lee, Dong-Hee;Ahn, Jin-Woo
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.60 no.2
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    • pp.309-314
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    • 2011
  • Outer rotor type in-wheel switched reluctance motor for Welfare neighborhood electric vehicle is researched. In-wheel system is to drive the electric vehicle without mechanical transmission, shaft, differential gears or other mechanical system. To calculate drive power for each wheels, the elder's and disable's safety driving conditions are considered. The designed outer rotor SRM has a 6-stator and 8-rotor pole. The determined dimensions as well as the stator and rotor pole arc are simulated and tested with CAD and finite element analysis to verify the performance of the proposed motor.

Inductive Charger of Battery for Electric Vehicles (전기자동차용 축전지의 유도성 충전 장치)

  • Kim, Heung-Geun;Park, Jeong-Woo;Kim, Sang-O
    • Proceedings of the KIEE Conference
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    • 1995.07a
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    • pp.274-277
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    • 1995
  • Recent environmental pollutions have intensified the need to develop zero emission vehicles. The most effect method of such solutions is EV. EV is high energy efficiency, easy to maintain, repair and is possible to make high performance control. However, because energy density of batteries is constrained and the distance covered one charge is short range. Also because EV has disadvantage of poor accelation ability, development of high performance battery is required for large scale use of EV. EV charger analogous to gas apparatus must also be developed immediately. Charger is discriminate between on-vehicle type and off-vehicle type. As off-vehicle type is able to charge fast and safe, inductive charging is considered. This paper aims to develope off-vehicle inductive charging system. Therefore, it achieved power factor correction converter, high frequency DC/AC inverter control algorithm development which gives proof validity through simulation and formulated the basic concept of high frequency transformer design for inductive charging.

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Rear drum brake creak(scratching) noise improvement during braking(or parking apply) (제동시 발생하는 리어 드럼브레이크 creak(scratching) 노이즈 개선)

  • Jang, Myunghoon;Park, Shin;Kim, Sunho;Kim, Sunghwan
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • 2013.04a
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    • pp.486-491
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    • 2013
  • Creak noise is kind of scratching noise which is usually generated in drum brake system on the vehicle. When driver brakes vehicle or applies parking lever, drum brake shoe moves to the drum side to stop the vehicle. And at that time, moving shoe scratches backing plate ledge surface, and that makes scratching noise in special condition. This study presents how we can generate creak noise in the laboratory and how we can reduce it by experimental approach. Through several and various type of tests, we could generate creak noise with damage on ledge area of the backing plate in the lab and we verified tab type shoe design can reduce this scratching noise. As a result of this study, we notified how creak noise happens in the vehicle, and that tab type design shoe has good performance of ledge area damage based on lab test(rig & dynamometer equipment), and that this can reduce potential risk of creak noise in the field.

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LDWS Performance Study Based on the Vehicle Type (차량종류에 따른 LDWS 성능에 관한 연구)

  • Park, Hwan-Seo;Lee, Hong-Guk;Chang, Kyung-Jin;Yoo, Song-Min
    • Transactions of the Korean Society of Automotive Engineers
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    • v.20 no.6
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    • pp.39-45
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    • 2012
  • More than 80 percent of traffic accidents related with lane departure believed to be the result of crossing the lane due to either negligence or drowsiness of the driver. Lane-departure related accident in the highway usually involve high fatality. Even though LDWS is believed to prevent accident 25% and reduce fatalities by 15% respectively, its effectiveness in performance is yet to be confirmed in many aspects. In this study, the vehicle lateral locations relative to warning zone envelop (earliest and latest warning zone) defined in ISO standard, ECE and NHTSA regulations are compared with respect to various factors including delays, vehicle speed and vehicle heading angle with respect to the lane. Since LDWS is designed to be activated at the speed over 60 km/h, vehicle speed range for the study is set to be from 60 to 100 km/h. The vehicle heading angle (yaw angle) is set to be up to 5 degree away from the lane (abrupt lane change) considering standard for lane change test using double lane-change test specification. The TLC is calculated using factors like vehicle speed, yaw angle and reaction time. In addition, the effect of vehicle type has been considered to assess LDWS safety.

New Vehicle Classification Algorithm with Wandering Sensor (원더링 센서를 이용한 차종분류기법 개발)

  • Gwon, Sun-Min;Seo, Yeong-Chan
    • Journal of Korean Society of Transportation
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    • v.27 no.6
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    • pp.79-88
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    • 2009
  • The objective of this study is to develop the new vehicle classification algorithm and minimize classification errors. The existing vehicle classification algorithm collects data from loop and piezo sensors according to the specification("Vehicle classification guide for traffic volume survey" 2006) given by the Ministry of Land, Transport and Maritime Affairs. The new vehicle classification system collects the vehicle length, distance between axles, axle type, wheel-base and tire type to minimize classification error. The main difference of new system is the "Wandering" sensor which is capable of measuring the wheel-base and tire type(single or dual). The wandering sensor obtains the wheel-base and tire type by detecting both left and right tire imprint. Verification tests were completed with the total traffic volume of 762,420 vehicles in a month for the new vehicle classification algorithm. Among them, 47 vehicles(0.006%) were not classified within 12 vehicle types. This results proves very high level of classification accuracy for the new system. Using the new vehicle classification algorithm will improve the accuracy and it can be broadly applicable to the road planning, design, and management. It can also upgrade the level of traffic research for the road and transportation infrastructure.

Design of Lossless Hybrid type Magnetically-Levitated Vehicle (손실 없는 하이브리드 자기부상열차 설계)

  • Kim, Jong-Moon;Kang, Do-Hyun
    • Proceedings of the KIEE Conference
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    • 2005.07b
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    • pp.1553-1555
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    • 2005
  • This paper presents a design of lossless hybrid-type magnetically-levitated vehicle. The lossless hybrid-type system is implemented by a permanent magnet and electromagnet. The target plant consists of eight hybrid-type magnets and in the steady-state, no current is needed to support the load. The design procedure is described and the results of this work are shown.

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Design of Outer Rotor Type In-Wheel SRM for Welfare Neighborhood Electric Vehicle (복지형 NEV용 외전형 인-휠 SRM 설계)

  • Jeong, Kwang-il;Lee, Dong-Hee;Ahn, Jin-Woo
    • Proceedings of the KIPE Conference
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    • 2010.11a
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    • pp.323-324
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    • 2010
  • In this paper, outer rotor type of in-wheel switched reluctance motor(SRM) has been design and analyzed for Welfare Neighborhood Electric Vehicle(WNEV). Designed outer rotor type of in-wheel SRM is set to 4-wheel of WNEV. the motor is 6/8 and outer rotor type. and the driving load and motor characteristics are determined and designed.

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Developing a Vehicle Classification Algorithm Based on the Trend Line to Vehicle Lengths and Wheelbases (차량길이와 축거의 추세선을 이용한 차종분류 알고리즘 개발)

  • Kim, Hyeong-Su;Kim, Min-Seong;O, Ju-Sam
    • Journal of Korean Society of Transportation
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    • v.27 no.4
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    • pp.55-61
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    • 2009
  • In order to observe the impact of a type of vehicles for traffic flows and pavement, vehicle classifications is conducted. Korean Ministry of Land, Transport and Maritime Affairs provides 12-type vehicle classifications on National expressways, National highways, and Provincial roads. Current AVC (Automatic Vehicle Classification) devices decide vehicle types comparing measurements of vehicle lengths, wheelbases, overhangs etc. to a reference table including those of all types of models. This study developed an algorithm for macroscopic vehicle classification which is less sensitive to tuning sensors and updating the reference table. For those characteristics, trend lines in vehicle lengths and wheelbases are employed. To assess the algorithm developed, vehicle lengths and wheelbases were collected from an AVC device. In this experiment, this algorithm showed the accuracy of 88.2 % compared to true values obtained from video replaying. Our efforts in this study are expected to contribute to developing devices for macroscopic vehicle classification.