• Title/Summary/Keyword: parallel hybrid vehicle

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Implementaion of 1.8kW bi-directional LDC with Parallel Control for Mild Hybrid Electric Vehicle (1.8kW급 마일드하이브리드 차량용 양방향 LDC의 병렬제어 구현)

  • Kim, Hyun-Bin;Kim, Jong-Soo;Jeon, Sun-Woo;Kim, Jeong-Tae;Bae, Sung-Woo
    • Proceedings of the KIPE Conference
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    • 2016.07a
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    • pp.389-390
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    • 2016
  • 본 논문에서는 마일드하이브리드 차량용 양방향 LDC의 동작 신뢰성 향상을 위해 2병렬 구성된 1.8kW급 LDC의 설계 및 제어에 대해 기술한다. 양방향 LDC 구현을 위한 최적 회로방법 및 병렬 구동을 위한 제어 방법에 대해 고찰하고 Working Sample 수준의 실험세트 제작내용 및 실험 결과를 제시한다.

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Cell Balancing Scheme with Series Coupling of Multiple Primary Windings for Hybrid Electric Vehicle Lithium-Ion Battery Cells

  • Park, Hong-Sun;Kim, Chong-Eun;Moon, Gun-Woo;Lee, Joong-Hui
    • Proceedings of the KIPE Conference
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    • 2007.07a
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    • pp.347-349
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    • 2007
  • Charge equalization scheme for HEV lithium-ion battery system is proposed in this paper, where all the primary windings with in parallel bi-directional switches are coupled in series to provide the equalizing energy from the whole battery string to the specific under charged cells. Moreover, to realize minimized size of equalization circuit employing the proposed cell balancing scheme, the optimal power rating design rule according to equalization time and SOC distribution of imbalance is proposed. A prototype of HEV lithium-ion battery system of four cells shows the outstanding charge equalization performance while maintaining greatly reduced size of cell balancing circuit.

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Control of Parallel Hybrid Electric Vehicle using AI Logic (인공지능을 이용한 병렬 복합형 전기자동차 구동 시스템의 제어)

  • Koo, Euh-Suh;Kim, Woo-Suk;Choi, Hyun-Sung;Lee, Hyeoun-Dong;Sul, Seung-Ki
    • Proceedings of the KIEE Conference
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    • 1997.11a
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    • pp.527-530
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    • 1997
  • 최근 환경에 대한 각국의 관심이 높아지면서 자동차의 배기가스 및 소음에 관한 규제 차들이 날로 높아 가고 있는 실정이다. 이에 대한 해결책의 하나로 전기 자동차에 관한 관심이 고조되고 있으며, 특히 기계적 에너지와 전기적 에너지를 동시에 제어함으로써 외부의 별도 전원 공급이 필요 없이 구동이 가능한 병렬 복합형 전기자동차가 많은 연구의 대상이 되고 있다. 병렬 복합형 전기자동차의 전동기는 저속에서 구동 회전력을 보조하여 배기가스와 소음을 감소시키며, 고속에서는 내연 기관으로부터 에너지를 공급받아 배터리를 충전한다. 본 논문에서는 인공지능을 이용하여 다양한 주행 조건, 운행 패턴 등에 효과적으로 대응할 수 있으며 배기가스 및 소음을 감소시킬 수 있는 운행 제어 알고리즘을 제안하고 이를 주행시험을 통하여 그 타당성을 입증하였다.

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A Study on the Lubrication Flow Distribution in a Six-speed Automatic Transmission Valve Body (6속 자동변속기 밸브바디의 윤활오일유량 분배 특성 연구)

  • Kim, Jin-Yong;Na, Byung-Chul;Lee, Kye-Cheul
    • Journal of the Korean Society of Mechanical Technology
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    • v.13 no.2
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    • pp.79-84
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    • 2011
  • In general, a valve body of the automatic transmission(AT) is controlled by the clutch, the brake and lubricating oil flow in a hydraulic system and lubricant flow for each valve can be adjusted independently. To increase the lifetime of AT, the lubrication flow rate in a valve body for a 6 speed AT based parallel hybrid electric vehicle must be provided with proper oil distribution and control. In this study, we carried out several experiments without the inner parts of AT and with a AT assembly. The variation of the flow rate on oil temperature and pressure between an oil supply port and the outlets of the lubrication port was evaluated and analyzed. In the case of AT without the inner parts, it was evident that as the oil required for an operation of the clutch and brake was discharged from the outlet port, the flow rate from each lubrication port is decreased. However, the flow rate of the AT assembly was slightly increased. In addition, the lubrication flow rate was increased with increasing the oil temperature, and also it was reduced with increasing the oil pressure. Details of the resulting data are discussed.

High safety battery management system of DC power source for hybrid vessel (하이브리드 선박 직류전원용 고 안전 BMS)

  • Choi, Jung-Leyl;Lee, Sung-Geun
    • Journal of Advanced Marine Engineering and Technology
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    • v.40 no.7
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    • pp.635-641
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    • 2016
  • In order to drive a hybrid propulsion device which combines an engine and an electric propulsion unit, battery packs that contain dozens of unit cells consisting of a lithium-based battery are used to maintain the power source. Therefore, it is necessary to more strictly manage a number of battery cells at any given time. In order to manage battery cells, generally voltage, current, and temperature data under load condition are monitored from a personal computer. Other important elements required to analyze the condition of the battery are the internal resistances that are used to judge its state-of-health (SOH) and the open-circuit voltage (OCV) that is used to check the battery charging state. However, in principle, the internal resistances cannot be measured during operation because the parallel equivalent circuit is composed of internal loss resistances and capacitance. In most energy storage systems, battery management system (BMS) operations are carried out by using data such as voltage, current, and temperature. However, during operation, in the case of unexpected battery cell failure, the output voltage of the power supply can be changed and propulsion of the hybrid vehicle and vessel can be difficult. This paper covers the implementation of a high safety battery management system (HSBMS) that can estimate the OCV while the device is being driven. If a battery cell fails unexpectedly, a DC power supply with lithium iron phosphate can keep providing the load with a constant output voltage using the remainder of the batteries, and it is also possible to estimate the internal resistance.

Development and Validation of Wheel Loader Simulation Model (휠로더 시뮬레이션 모델의 개발과 검증)

  • Oh, Kwangseok;Yun, Seungjae;Kim, Hakgu;Ko, Kyungeun;Yi, Kyongsu
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.37 no.5
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    • pp.601-607
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    • 2013
  • This paper presents the development and validation of a wheel loader simulation model. The objective of doing so is to evaluate the performance of the wheel loader and improve its overall performance using Matlab/Simulink. The wheel loader simulation model consists of 4 parts: mechanical/hydraulic powertrain model and vehicle/working dynamic model. An integrated simulation model is required to evaluate and improve the performance of the wheel loader. It is expected that this model will be applied to fuel economizing, improving the pace of operation by using the hybrid system, and the intelligent wheel loader. The performance of the proposed simulation model has been validated by using Matlab/Simulink to compare the driving and the working experimental data.