• Proceedings of the Korean Society of Precision Engineering Conference
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• 2011.06a
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• pp.825-826
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• 2011

• The Transactions of The Korean Institute of Electrical Engineers
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• v.63 no.8
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• pp.1085-1091
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• 2014

A model based SOC estimation scheme using parameter identification is described and applied to a Lithium-ion battery module that can be installed in electric vehicles. Simulation studies are performed to verify the effect of sensor faults on the SOC estimation results for terminal voltage sensor and load current sensor. The sensor faults should be detected and isolated as soon as possible because the SOC estimation error due to any sensor fault seriously affects the overall performance of the BMS. A new fault detection and isolation(FDI) scheme by which the fault of terminal voltage sensor and load current sensor can be detected and isolated is proposed to improve the reliability of the BMS. The proposed FDI scheme utilizes the parameter estimation of an input-output model and two fuzzy predictors for residual generation; one for terminal voltage and the other for load current. Recently developed dual polarization(DP) model is taken to develope and evaluate the performance of the proposed FDI scheme. Simulation results show the practical feasibility of the proposed FDI scheme.

• Proceedings of the KIEE Conference
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• 2011.07a
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• pp.866-867
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• 2011

As part of the green growth, The Green Car has attracted wide attention. Types of the Green Car are Electric Vehicle, Plug-in Hybrid Electric Vehicle, Hybrid Electric Vehicle, Fuel Cell Vehicle and Clean Diesel Vehicle. Of these, The electric vehicle is equipped with the BDU(Battery Disconnecting Unit). BDU is supplying stable battery power and blocking it to protect electrical system of the electric vehicle. The BDU consists of electric components such as current sensor, fuse and pre-charge resistor. These must pass Voltage withstand test, Salt mist test, Thermal shock test, Vibration test and Short-circuit test commonly to verify reliability of the electric components. In addition, The current sensor should be verified whether normal operation. The breaking capacity of fuse should be verified. The durability of pre-charge resistor should be verified by supplying battery power and blocking it repeatedly. The reliability of BDU as well as the electric vehicle is secured by verifying the reliability of electric components. In addition, It will contribute to the acceleration and promotion of Green Car Technology.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2011.06a
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• pp.1047-1048
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• 2011

• The Transactions of the Korean Institute of Electrical Engineers P
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• v.57 no.4
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• pp.400-403
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• 2008

In this work, an individual trespassing detector using a PIR sensor to detect infrared rays only between the range of $9.4{\sim}10.4{\mu}m$ radiated from the body is proposed. This detector using FIR sensor detects not insect or object but human body, It doesn't restrict the inhabitant's behavior because the filter of pm sensor is designed to have face angle and the detector only detects the window area. The existing wide angle filter, RIR sensor, detects $30^{\circ}$ angle while the face angle filter sensor on this paper detects $11^{\circ}$ angle with 3cm of face angle filter from 2m of detecting distance. In case of interruption of electric power, 250mAh of lithium-ion battery has worked for 10 hours consuming 22mA in normal state. Meanwhile, in case of interruption of electric power, 250mAh of battery has worked for 4 hours consuming 60mA in trespassing detecting state. Projector, receptor, controller and alarm are put on one PCB in order to make it convenient to install without any special installation skill.

• KEPCO Journal on Electric Power and Energy
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• v.2 no.4
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• pp.609-613
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• 2016

A hybrid charging method with serial and parallel architecture has been developed to resolve the unbalanced charge problem among battery cells for Electric Vehicles. In this method, the major charging is performed with serial part and the balancing is carried out with the parallel part, where the serial part is big and heavy but the parallel part is smaller and lighter than serial part. A sensor array to detect the individual battery cell voltage, duty rate control incorporated IGBTs, and battery management system are employed as the core parts of the proposed system.

• Proceedings of the KAIS Fall Conference
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• 2011.05a
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• pp.454-457
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• 2011

논문에서는 EEM 시뮬레이터를 개발하여 개발되어진 시뮬레이터를 Voltage, Current, Resistance의 데이터를 추출하고 실차를 이용하여 시동 테스트를 통한 자동차 시동시 순간적으로 흐르는 Voltage, Current, Resistance의 순간 변화량을 추출하여 과 각각의 특성을 비교하여 Battery의 SOC, SOH를 구하고 자동차의 Battery 를 획기적으로 관리할 수 있는 시뮬레이터를 개발하려 한다.

• Smart Structures and Systems
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• v.29 no.5
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• pp.661-675
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• 2022

In this paper, an electric vehicle drives with efficient control and low cost hardware using four quadrant DC converter with Permanent Magnet Direct Current (PMDC) motor fed by DC boost converter is presented. The main idea of this work is to improve the energy efficiency of the conversion chain of an electric vehicle by inserting a boost converter between the battery and the four quadrant-DC motor chopper assembly. Consequently, this method makes it possible to maintain the amplification gain of the 4 quadrant chopper constant regardless of the battery voltage drop and even in the presence of a fault in the battery. One of the most important control problems is control under heavy uncertainty conditions. The higher order sliding mode control technique is introduced for the adjustment of DC bus voltage and mechanical motor speed. To implement the proposed approach in the automotive field, experimental tests were carried out. The performances obtained show the usefulness of this system for a better energy management of an electric vehicle and an ideal control under different operating conditions and constraints, mostly at nominal operation, in the presence of a load torque, when reversing the direction of rotation of the motor speed and even in case of battery chamber failure. The whole system has been tested experimentally and its performance has been analyzed.

• Proceedings of the KAIS Fall Conference
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• 2011.05b
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• pp.753-756
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• 2011

지속적인 충/방전에 의하여 표준 수명 보다 더 빠른 노화 현상을 일으키는 배터리의 효율적인 관리를 위하여, 배터리의 내부 상태를 모니터링 하였다. 정확한 배터리 모니터링을 위해서 해당하는 배터리의 잔존 용량 및 잔존 수명을 정확히 예측할 수 있어야 하며, 이를 위해 Open Voltage를 사용한 실험, 에너지 보존 법칙에 의한 충전 전류 측정법, 시동 시 최대 전류와 내부 저항의 변화량을 알아내는 실험을 하였다. Open Voltage 실험 결과, SOC수치에 따른 특정 전압의 범위를 알 수 있었고, 이 전압은 온도에 의해 변동된다는 것을 확인할 수 있었다. 충전 그래프를 그려본 결과 충전횟수와 완충에 걸리는 시간은 반비례하며, 배터리 내부에 충전되는 총 전류의 양과도 관계가 있었다. 시동 실험에서는 최저 전압 드롭 값과 최대 공급 전류의 범위를 알 수 있었으며, 특정 SOC 구간 내 내부 저항의 값을 차이를 알 수 있었다. 이 값들은 각 SOC의 수치에 비례한 결과를 보였다. 이 결과들을 정리하여, 배터리 내부 상태를 예측하는 방법을 제안하고자 한다.

• Transactions of the Korean Society of Automotive Engineers
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• v.17 no.5
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• pp.74-83
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• 2009

Recently, usage of electric and electronic system for car increases rapidly. Consequently power monitoring supplied to the system is essential for management and controlling. Generally, battery status is monitored through measuring and diagnosing the current measurement method utilizing Hall Effect. Therefore, in this paper, we analysed magnetic field to develop the solution of DC current sensor using Hall Effect which is the core of design and development. By analysing the magnetic field by FEM using Maxwell 3D software, the location of the highest output current and stable part in the Hall IC sensor was shown. Also, the optimal core design of DC current sensor using parametric and Simplex method was presented. A car battery charge and discharge process dependant on time effect on the changing of magnetic field was simulated and compared to the result from the experiment result of actual vehicle.