• Title/Summary/Keyword: Hybrid Electric vehicle

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A Novel Technique for Tuning PI-Controllers in Induction Motor Drive Systems for Electric Vehicle Applications

  • Elwer Ayman Saber
    • Journal of Power Electronics
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    • v.6 no.4
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    • pp.322-329
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    • 2006
  • In the last decade, the increasing restrictions imposed on the exhaust emissions from internal combustion engines and traffic limitations have increased the development of electrical propulsion systems for automotive applications. The goal of electrical and hybrid vehicles is the reduction of global emissions, which in turn leads to a decrease in fuel resource exploitation. This paper presents a novel approach for control of Induction Motors (IM) using the Particle Swarm Optimization (PSO) algorithm to optimize the parameters of the Proportional Integral Controller (PI-Controller). The overall system is simulated under various operating conditions. The use of PSO as an optimization algorithm makes the drive robust and insensitive to load variation with faster dynamic response and higher accuracy. The system is tested under variable operating conditions. The simulation results show a positive dynamic response with fast recovery time.

New Cooling System Design of BLDC Motor for Electric Vehicle Using Computation Fluid Dynamics Modeling

  • Vu, Duc Thuan;Hwang, Pyung
    • Tribology and Lubricants
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    • v.29 no.5
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    • pp.318-323
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    • 2013
  • Overheating in electrical motors results in detrimental effects such as degradation of the insulation materials, demagnetization of magnets, increases in Joule losses, and decreases in motor efficiency and lifetime. Thus, it is important to find ways to dissipate heat from the motor and to keep the motor operating at its most efficient temperature. In this study, a new design to guide air flow through a given brushless direct current (BLDC) motor is developed and the design is analyzed, specifically by using computational fluid dynamics (CFD) simulations. The results showed that the temperature distribution in the three proposed models is lower than that in the original model, although the speed of the cooling fan in the original model reaches a very high value of $15{\times}10^3$ rpm. The results also showed that CFD can be effectively used to simulate the heat transfer of BLDC motors.

SOC Sustaining Strategy for HEV through State-machine Control (하이브리드 차량의 SOC 유지전략 방법)

  • Byun, Sang-Min;Kim, Beom-Soo;Cha, Suk-Won
    • New & Renewable Energy
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    • v.4 no.4
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    • pp.65-71
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    • 2008
  • Considering the world's environmental problem, HEVs are projected as one of the solution. The keys of the HEV cruise control are expanding the use of electric motor and operating the internal combustion engine in the efficient region. This paper presents a new structure of SOC sustaining model where state-machine control is used. The proposed model defines battery charging and discharging as states and SOC of the battery as control variables. In this paper, we introduce various methods in deterministic rule-based control for HEV and describe a new SOC sustaining controller used by state-machine.

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Construction of Current Sensor Using Hall Sensor and Magnetic Core for the Electric and Hybrid Vehicle (홀소자와 자기코어를 이용한 하이브리드 및 전기자동차용 전류센서 제작)

  • Yeon, Kyoheum;Kim, Sidong;Son, Derac
    • Journal of the Korean Magnetics Society
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    • v.23 no.2
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    • pp.49-53
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    • 2013
  • A current sensor is one of important component which is used for the electrical current measurement during charge and discharge of the battery, and monitoring system of the motor controller in the electric and hybrid vehicle. In this study, we have developed an open loop type current sensor using GaAs Hall sensor and magnetic core has an air gap. The Hall sensor detect magnetic field produced by the current to be measured. The 3 mm air gap core was made by HGO electrical steel sheets after slitting, winding, annealing, molding, and cutting. Developed current sensor shows 0.03 % linearity within DC current range from -400 A to +400 A. Operating temperature range was extended to the range of $-40{\sim}105^{\circ}C$ using temperature compensating electronic circuit. To Improve frequency bandwidth limit due to the air flux of PCB (Printed Circuit Board) and Hall sensor, We employed an air flux compensating loop near Hall sensor or on PCB. Frequency bandwidth of the sensor was 100 kHz when we applied sine wave current of $40A{\cdot}turn$ in the frequency range from 100 Hz to 100 kHz. For the dynamic response time measurement, 5 kHz square wave current of $40A{\cdot}turn$ was applied to the sensor. Response time was calculated time reach to 90 % of saturation value and smaller than $2{\mu}s$.

Study on Fuel Consumption Improvement in SI Engine with EGR for Hybrid Electric Vehicle (하이브리드용 가솔린엔진의 EGR을 통한 연비향상에 관한 연구)

  • Park, Cheol-Woong;Choi, Young;Kim, Chang-Gi
    • Transactions of the Korean Society of Automotive Engineers
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    • v.16 no.2
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    • pp.128-135
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    • 2008
  • EGR(exhaust gas recirculation) is considered as a most effective method to reduce the NOx emissions. But high EGR tolerance is always pursued not only for its advantages of the pumping loss reduction and fuel economy benefit in Gasoline-Hybrid engine. However, the occurrence of excessive cyclic variation with high EGR normally prevents substantial fuel economy improvements from being achieved in practice. Therefore, the optimum EGR rate should be carefully determined in order to achieve low fuel consumption and low exhaust emission. In this study, 2 liters gasoline engine with E-EGR system was used to investigate the effects of EGR on fuel efficiency, combustion stability, engine performance and exhaust emissions. With optimal EGR rates, the fuel consumption was improved by 4%. This improvement was achieved while a reduction in NOx emissions of 75% was accomplished. Increase of EGR gas temperature causes the charge air temperature to affect the knock phenomenon and moreover, the EGR valve lift changes for the same control signal.

Modeling of Hybrid Railway Vehicles with Hydrogen Fuel-Cell/Battery using a Rule-Based Algorithm (규칙기반 알고리즘을 이용한 수소연료전지/배터리 하이브리드 철도차량 모델링)

  • Oh, Yoon-Gi;Han, Byeol;Oh, Yong-Kuk;Ryu, Joon-Hyoung;Lee, Kyo-Beum
    • Journal of IKEEE
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    • v.24 no.2
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    • pp.610-618
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    • 2020
  • This paper presents the modeling of hybrid railway vehicles with hydrogen Fuel-Cells (FCs)/battery using a rule-based algorithm. The driving power of traction system is determined with the speed-torque curve by operation area of the electric machine and the electrical systems are modeled. The demanded power of electrical systems is set with the energy management system (EMS). The consumption of hydrogen is effectively managed with the subdivided operation region depending on the state of charge (SOC). The validity of the modeling is verified using MATLAB/Simulink.

Development Direction of Reliability-based ROK Amphibious Assault Vehicles (신뢰성 기반 한국군 차기 상륙돌격장갑차 발전방향)

  • Baek, Ilho;Bong, Jusung;Hur, Jangwook
    • Journal of the Korean Society of Manufacturing Process Engineers
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    • v.20 no.2
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    • pp.14-22
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    • 2021
  • A plan for the development of reliability-based ROK amphibious assault vehicles is proposed. By analyzing the development case of the U.S. EFV, considerations for the successful development of the next-generation Korea Forces amphibious assault vehicle are presented. If the vehicle reliability can be improved to the level of the fourth highest priority electric unit for power units, suspensions, decelerators, and body groups, which have the highest priority among fault frequency items, a system level MTBF of 36.4%↑ can be achieved, and the operational availability can be increased by 3.5%↑. The next-generation amphibious assault vehicles must fulfill certain operating and performance requirements, the underlying systems must be built, and sequencing of the hybrid engine and the modular concept should be considered. Along with big-data- and machine-learning-based failure prediction, machine maintenance based on augmented reality/virtual reality and remote maintenance should be used to improve the ability to maintain combat readiness and reduce lifecycle costs.

A Study on Selective Composite Patch for Light Weight and Quality Improvement of Battery Module (배터리 모듈의 경량화 및 품질 향상을 위한 선택적 복합재료 패치에 관한 연구)

  • Lee, Seung-Chan;Ha, Sung Kyu
    • Composites Research
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    • v.32 no.1
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    • pp.13-20
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    • 2019
  • In this study, in order to improve the quality issue and component characteristics of the battery module, which is one of the major parts of the electric vehicle. The structure is reinforced by using the composite material and the mechanism structure optimization of Hybrid concept which can overcome the disadvantages of single material was performed and the performance was compared. For this purpose, figure out the main design variables of composite materials according to Classical Laminated Plate Theory (CLPT) and the algorithm for predicting composite material properties have been studied. Based on the mechanical properties of the designed composite materials, finite element analysis (FEM) and the performance of the battery module was verified. Consequently, according to the verification result, Hybrid Battery Module reinforced with Selective Composite Patch can reduce the weight by 30% and reduce the product thickness by 32.5% compared with the existing Al battery module and proved the merit of Hybrid structure such as maintaining impact performance.

Feasibility Study of a Series Hybrid-Electric Propulsion System for a Fixed Wing VTOL Unmanned Aerial Vehicle (고정익 수직이착륙 무인항공기를 위한 하이브리드-전기 추진시스템의 타당성 연구)

  • Kim, Boseong;Bak, Jeonggyu;Yun, Senghyun;Cho, Sooyoung;Ha, Juhyung;Park, Gyusung;Lee, Geunho;Won, Sunghong;Moon, Changmo;Cho, Jinsoo
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.43 no.12
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    • pp.1097-1107
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    • 2015
  • General VTOL aircraft uses gas turbine engine which has high power to weight ratio. However, in the VTOL UAV in small sector, the gas turbine as a prime mover is not adequate because of the limitation of the high fuel consumption ratio of the gas turbine. In this research, The Series Hybrid-Electric Propulsion System(SHEPS) has been proposed and technology survey & comparison analysis has conducted to constitute propulsion system for engine, electric motor and battery. To achieve this object a 65kg-class P-UAV from "Company I" was used. And to estimate the validity of power control algorithm and developed power management control, Matlab/simulink$^{(R)}$ has been used for the simulation. As a result, the developed algorithm worked comparatively well and the research has predicted that SHEPS was satisfied enough for 7 hour of endurance for mission profile.

Comparative Evaluation of the Cooling and Heating Performance of a $CO_2$ Heat Pump System for Vehicles (차량용 이산화탄소 열펌프 시스템의 냉난방 성능 비교평가)

  • Kim, Sung-Chul;Kim, Min-Soo
    • Transactions of the Korean Society of Automotive Engineers
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    • v.17 no.2
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    • pp.126-131
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    • 2009
  • A $CO_2$ heat pump system was designed for both cooling and heating in the cabin of electric vehicles, hybrid vehicles or fuel cell vehicles, In this study, the performance characteristics of the heat pump system without any supplementary heating device were analyzed and the heating performance was compared with the cooling performance for various operating conditions. Experiments were carried out by changing the speed of electric drive compressor, the air flow rate of interior heat exchanger and the air inlet temperature and speed of exterior heat exchanger. Therefore, the cooling/heating capacities and the corresponding COPs are quantified. Also, the heat pump system showed an improved performance for the cooling operation and the heating operation. In this study, the experimental results can be used to evaluate the effect of system design changes on system performance as well as the development of a highly efficient heat pump system.