• Title/Summary/Keyword: Motor car

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Study on a Smart Cane for the Visually Impaired utilizing ESP32-CAM for Enhanced Safety (안전성 강화를 위한 ESP32-CAM을 활용한 시각장애인용 스마트지팡이에 대한 연구)

  • Doo-Hyeon-Hong;Jong-Hwan-Lim;Jun-Sun-Yu;Seung-Hyeop-Beak;Jae-Wook Kim
    • The Journal of the Korea institute of electronic communication sciences
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    • v.18 no.6
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    • pp.1379-1386
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    • 2023
  • In this paper, research was conducted to prevent various safety accidents that may occur from infant carriages carrying children and to make the use of infant carriages easier. In order to prevent the baby car from running without protection, a brake function is installed on the baby car wheels using a pressure sensor and a servo motor. Then, a pressure sensor and LCD are used to determine whether the seat belt is fastened to prevent the child from falling out of the baby car. In addition, it was designed to use LCD and LED to turn on a warning light when the temperature and humidity exceed a certain level, so that infants can be in a comfortable environment when using the baby car.

A Study on Manufacture and Control of a Self Manufacturing Hybrid Electric Vehicle (자작형 하이브리드카의 제작 및 제어에 관한 연구)

  • Kim, Hack-Sun;Jeong, Chan-Se;Yang, Soon-Young
    • Transactions of the Korean Society of Automotive Engineers
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    • v.20 no.1
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    • pp.8-13
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    • 2012
  • In this paper, Hybrid Electric Vehicle is directly designed and manufactured for base study of HEV's system and Green Car. Foundation design consists of power train design and the frame design. The power train concept includes motor, engine, generator and battery. And the concept of the frame is the single-seat of this self-made HEV. A frame installed in hybrid system contains suspension, steering wheel, seat, accelerating pedal, brake pedal, clutch handle and various chassis parts with bearings. Electromagnetic clutch is equipped to transmit engine power to drive axle. The control algorism make using LabVIEW to control of an engine and a motor depending on drive condition. A parallel type hybrid system is manufactured to control operation of a motor and an engine depending on vehicle speed.

The Study on Correlation and Transformation Matrix Development in terms of Loading Histories of Body and Chassis for CTBA Suspension (CTBA 샤시 부품과 마운팅부 차체 입력 하중과의 상관성 연구 및 변환행렬식 개발)

  • Ha, Dong-Hyun;Park, Soon-Cheol;Jung, Won-Wook
    • Journal of Applied Reliability
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    • v.12 no.2
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    • pp.79-90
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    • 2012
  • The torsion beam type of rear suspension has been adopted by most manufactures of small to medium front wheel drive passenger cars. Previous studies analyzed only the load characteristics of CTBA(the coupled torsion beam axle)'s components. This paper analyzed the results of measurement after measuring loads and displacements, angles when a car equipped with the coupled torsion beam axle is driving in various roads. The most important durability factors for CTBA part are the force and direction of rear CTBA trailing arm. If there are design changes, it was difficult to make a sensor and install each time for measuring the trailing arm forces. After analyzing the loading histories between body and chassis, we developed the transformation matrix that can be converted to mutual force. This paper also deals with the analysis of the force behavior through the analysis of the influence and correlation between the body and chassis parts of cars.

LMTT Positioning System Control using DR-FNN (DR-FNN을 이용한 LMTT Positioning System 제어)

  • Lee, Jin-Woo;Sohn, Dong-Sop;Min, Jung-Tak;Lee, Kwon-Soon
    • Proceedings of the KIEE Conference
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    • 2003.07d
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    • pp.2206-2208
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    • 2003
  • LMTT(Linear Motor-based Transfer Technology) is horizontal transfer system in the maritime container terminal for the port automation. The system is modeled PMLSM(Permanent Magnetic Linear Synchronous Motor) that is consists of stator modules on the rail and shuttle car(mover). Because of large variant of movers weight by loading and unloading containers, the difference of each characteristic of stator modules, and a stator module's default etc., LMCS(Linear Motor Conveyance System) is considered as that the system is changed its model suddenly and variously. In this paper, we will introduce the soft-computing method of a multi-step prediction control for LMCS using DR-FNN(Dynamically Constructed Recurrent Fuzzy Neural Network). The proposed control system is used two networks for multi-step prediction. Consequently, the system has an ability to adapt for external disturbance, cogging force, force ripple, and sudden changes of itself.

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Development of High-speed Elevator Drive System using Permanent-magnet Synchronous Motor (영구 자석형 동기 전동기를 이용한 고속 엘리베이터 구동 시스템 개발)

  • Ryu Hyung-Min;Kim Sung-Jun;Sul Seung-Ki;Kwon Tae-Seok;Kim Ki-Su;Shim Young-Seok;Seok Ki-Riong
    • Proceedings of the KIPE Conference
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    • 2001.07a
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    • pp.385-388
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    • 2001
  • In this paper, the gearless traction machine drive system using a permanent-maget motor for high-speed elevators is addressed. This application of permanent-magnet motor to the elevator traction machine enables several improvements including higher efficiency, better ride comfort, smaller size and weight, and so on. PWM boost converter is also adopted so that DC-link voltage regulation, hi-directional power flow, and controllable power factor with reduced input current harmonics are possible. To increase reliability and performance, the control board, which can include the car and group controller as well as PWM converter and inverter controller, is designed based on TMS320VC33 DSP The simulator system for high-speed elevators has been developed so that the drive system of high-speed elevator can be tested without my limitation on ride distance and the load condition. Some experimental results are given to verify the effectiveness of the developed system.

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Characteristic Analysis of a Linear Induction Motor for 200-km/h Maglev

  • Jeong, Jae-Hoon;Lim, Jae-Won;Park, Do-Young;Choi, Jang-Young;Jang, Seok-Myeong
    • International Journal of Railway
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    • v.8 no.1
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    • pp.15-20
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    • 2015
  • As a result of the current population concentrations in urban centers, demand for intercity transportation is increasing rapidly. Railway transportation is becoming popular as an intercity transportation because of its timely service, travel speeds and transport efficiency. Among the many railway systems, the innovative and environmentally friendly maglev system has been rated very highly as the next-generation intercity railway system. Linear induction motors are widely used for the propulsion of maglev trains because of their light weight and low construction costs. The urban maglev that was recently completed in Incheon airport site employs a 110km/h class linear induction motor. However, this system was designed to meet requirements for inner-city operations and is not suitable as an intercity transportation system, which requires medium to high speeds. Therefore, this study deals with the characteristics and designs of linear induction motors used for the propulsion of maglev trains that can be used as intercity trains. Rail car specifications for high-speed trains have been presented, and the characteristics of linear induction motors that can be used for the propulsion of these trains have been derived using the finite element method (FEM).

A Study on the Torque Distribution for Improving the Turning Performance of a Vehicle with Torque Vectoring System (토크 벡터링 시스템이 적용된 차량의 선회 성능 향상을 위한 토크 분배에 관한 연구)

  • SeHyeoun Kim;TaeKue Kim;SoongKeun Lee;DongGun Choi;InGyu Choi;Gunpyoung Kwak
    • Journal of Korea Society of Industrial Information Systems
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    • v.28 no.4
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    • pp.35-43
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    • 2023
  • In next-generation electric vehicles, research is being conducted on an in-wheel motor system that directly controls torque by each wheel to improve total cost and driving performance. Accordingly, in this paper, a study was conducted on an algorithm that distributes the torque applied to each wheel in a torque vectoring system applied to an in-wheel motor for driving an electric vehicle. In order to implement a vehicle model that applies actual vehicle characteristic parameters according to vehicle driving and steering, a simulation was conducted in the MATLAB Simulink environment, and it was confirmed that torque distribution was performed according to the proposed algorithm.

Thermal analysis model for electric water pumps with non-conductive cooling liquid (비전도성 충진액을 포함하는 전동워터펌프 열 해석 모델)

  • Jung, Sung-Taek;Yoon, Seon-Jhin;Ha, Seok-Jae
    • Design & Manufacturing
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    • v.16 no.2
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    • pp.46-52
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    • 2022
  • As the consumer market in the eco-friendly vehicle industry grows, the demand for water pump in a electric car parts market. This study intend to propose a mathematical model that can verify the effect of improving thermal properties when a non-conductive cooling filler liquid is introduced into an electric vehicle water pump. Also, the pros and cons of the immersion cooling method and future development way were suggested by analyzing the cooling characteristics using on the derived analysis solution. Thermal characteristics analysis of electric water pump applied with non-conductive filler liquid was carried out, and the diffusion boundary condition in the motor body and the boundary condition the inside pump were expressed as a geometric model. As a result of analyzing the temperature change for the heat source of the natural convection method and the heat conduction method, the natural convection method has difficulty in dissipating heat because no decrease in temperature due to heat release was found even after 300 sec. Also, it can be seen that the heat dissipation effect was obtained even though the non-conductive filling liquid was applied at the 120 sec and 180 sec in the heat conduction method. It has proposed to minimize thermal embrittlement and lower motor torque by injecting a non-conductive filler liquid into the motor body and designing a partition wall thickness of 2.5 mm or less.

A study on performance measurement system of traction equipment (추진장치 성능측정 시스템에 관한 연구)

  • Han, Young-Jae;Kim, Seog-Won;Kim, Young-Guk;Park, Chan-Kyoung;Choi, Jong-Sun;Kim, Jung-Su
    • Journal of Sensor Science and Technology
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    • v.12 no.4
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    • pp.170-175
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    • 2003
  • The korean high speed train(350km/h), composed of 7cars that are 2 power cars, 2 motorized car and 3 trailer cars, has been developed and is under on-line test. To verify the design requirements about the functions and traction performances of this train, KRRI(Korea Railroad Research Institute) decided to evaluate traction performances of the train during on-line test. For this purpose, such as torque, velocity, voltage and current, must be measured. KRRI has developed the measurement system that can be measured vast and various signals effectively. In this paper, we introduce traction performances of korean high speed train. The traction measurement items are focused on the verification of motor block performances. Motor block are consist of 2 motor. For this test, we verified traction performances of korean high speed train.

A Study on the Classification of Fault Motors using Sound Data (소리 데이터를 이용한 불량 모터 분류에 관한 연구)

  • Il-Sik, Chang;Gooman, Park
    • Journal of Broadcast Engineering
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    • v.27 no.6
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    • pp.885-896
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    • 2022
  • Motor failure in manufacturing plays an important role in future A/S and reliability. Motor failure is detected by measuring sound, current, and vibration. For the data used in this paper, the sound of the car's side mirror motor gear box was used. Motor sound consists of three classes. Sound data is input to the network model through a conversion process through MelSpectrogram. In this paper, various methods were applied, such as data augmentation to improve the performance of classifying fault motors and various methods according to class imbalance were applied resampling, reweighting adjustment, change of loss function and representation learning and classification into two stages. In addition, the curriculum learning method and self-space learning method were compared through a total of five network models such as Bidirectional LSTM Attention, Convolutional Recurrent Neural Network, Multi-Head Attention, Bidirectional Temporal Convolution Network, and Convolution Neural Network, and the optimal configuration was found for motor sound classification.