• 제목/요약/키워드: Filter-based technique

검색결과 699건 처리시간 0.038초

구간선형 모델링 기반의 리튬-폴리머 배터리 SOC 관측기 (SOC Observer based on Piecewise Linear Modeling for Lithium-Polymer Battery)

  • 정교범
    • 전력전자학회논문지
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    • 제20권4호
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    • pp.344-350
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    • 2015
  • A battery management system requires accurate information on the battery state of charge (SOC) to achieve efficient energy management of electric vehicle and renewable energy systems. Although correct SOC estimation is difficult because of the changes in the electrical characteristics of the battery attributed to ambient temperature, service life, and operating point, various methods for accurate SOC estimation have been reported. On the basis of piecewise linear (PWL) modeling technique, this paper proposes a simple SOC observer for lithium-polymer batteries. For performance evaluation, the SOC estimated by the PWL SOC observer, the SOC measured by the battery-discharging experiment and the SOC estimated by the extended Kalman filter (EKF) estimator were compared through a PSIM simulation study.

확장 칼만 필터기반 센서 융합 기법을 통한 폐배터리 팩 내부 셀 간 SOC 불균형 상태 추정을 위한 알고리즘 연구 (A Study on the Algorithm for Estimating SOC Variation in Retired Battery Pack Using Sensor Fusion Technique based on Extended Kalman Filter)

  • 박진형;김건우;최원재;류희연;김종훈
    • 전력전자학회:학술대회논문집
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    • 전력전자학회 2019년도 추계학술대회
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    • pp.73-75
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    • 2019
  • 폐배터리를 조합하여 배터리 팩을 구성 시, 사용환경이 상이한 폐배터리 간의 전압/SOC의 편차가 존재하여 장기간 사용시 과충전/과방전과 같은 안전상을 문제가 발생할 가능성이 크다. 따라서 본 논문에서는 확장 칼만 필터를 기반 센서 융합 방법을 사용하여 폐배터리 팩의 셀 간 SOC 불균형을 추정하는 알고리즘을 제안한다. 검증은 셀간 전압 불균형이 있는 노화된 배터리 팩에 임의의 전류 프로파일을 인가하여 제안된 알고리즘을 검증한다.

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Evaluation of Resolution Improvement Ability of a DSP Technique for Filter-Array-Based Spectrometers

  • Oliver, J.;Lee, Woong-Bi;Park, Sang-Jun;Lee, Heung-No
    • 한국통신학회논문지
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    • 제38C권6호
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    • pp.497-502
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    • 2013
  • In this paper, we aim to evaluate the performance of the digital signal processing (DSP) algorithm used in [8] in order to improve the resolution of spectrometers with fixed number of low-cost, non-ideal filters. In such spectrometers, the resolution is limited by the number of filters. We aim to demonstrate via new experiments that the resolution improvement by six times over the conventional limit is possible by using the DSP algorithm as claimed by [8].

깊이맵 향상을 위한 전처리 과정과 그래프 컷에 관한 연구 (A Study of the Use of step by preprocessing and Graph Cut for the exact depth map)

  • 김영섭;송응열
    • 반도체디스플레이기술학회지
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    • 제10권3호
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    • pp.99-103
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    • 2011
  • The stereoscopic vision system is the algorithm to obtain the depth of target object of stereo vision image. This paper presents an efficient disparity matching method using blue edge filter and graph cut algorithm. We do recommend the use of the simple sobel edge operator. The application of B band sobel edge operator over image demonstrates result with somewhat noisy (distinct border). The basic technique is to construct a specialized graph for the energy function to be minimized such that the minimum cut on the graph also minimizes the energy (either globally or locally). This method has the advantage of saving a lot of data. We propose a preprocessing effective stereo matching method based on sobel algorithm which uses blue edge information and the graph cut, we could obtain effective depth map.

The Detection of Lanes and Obstacles in Real Time Using Optimal Moving Window

  • Park, Sung-Yug;Ju, Jae-Yul;Lee, Jang-Myung
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2000년도 ITC-CSCC -2
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    • pp.889-893
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    • 2000
  • In this paper, a method to detect lanes and obstacles from the images captured by a CCD camera fitted in an automobile is proposed, and a new terminology “Moving Window” is defined. Processing the input dynamic images in real time can cause quite a few constraints in terms of hardware. In order to overcome these problems and detect lanes and obstacles in real time using the images, the optimal size of “Moving Window” is determined, based upon road conditions and automobile states. The real time detection is made possible through the technique. For each image frame, the moving window is moved in a predicted direction, the accuracy of which is improved by the Kalman filter estimation. The feasibility of the proposed algorithm is demonstrated through the simulated experiments of freeway driving.

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An Algorithm to Reduce the Number of Nodes in Active Spectrum Sensing Via Cooperative Sequential Detection

  • Truc, Tran Thanh;Kong, Hyung-Yun
    • Journal of electromagnetic engineering and science
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    • 제12권2호
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    • pp.148-154
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    • 2012
  • In this paper, we propose an algorithm to conserve resources of the common control channel in a cognitive radio network by rejecting the redundant users using cooperative spectrum sensing. The proposed scheme is investigated under the paradigm of active spectrum sensing and a sequential detection technique. The algorithm is based on the J-divergence between the hypotheses of non primary user operation and the otherwise case. We select the most significant eigenvalues, which primarily affect the global statistical test. For the case where interference is from a secondary system transmission, a match filter is first employed to remove the degradation, and then the proposed algorithm is employed to remove the cooperative sensing nodes. Numerical results are provided and compared with conventional cases in order to validate the performance of the proposed algorithm.

전력계통 과도현상 해석을 위한 상영역에서의 등가축약 기법 (A Phase-Domain Equivalent Representation for Electromagnetic Transients Studies)

  • 정병태;김성희;허성일;안복신;홍준희
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 1996년도 하계학술대회 논문집 B
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    • pp.731-733
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    • 1996
  • In this paper, a new time-domain reduction method for unbalanced 3 phase power systems will be represented. The impulse response of the system is used to identify a discrete-time equivalent filter model. The model is formulated directly in the phase domain. Each phase has a self-mode equivalent model and two mutual-mode equivalent models. The equivalent model is determined by the transfer function identification technique based on the Prony analysis. The model is implemented in EMTDC and tested with an unbalanced 3 phase network. The result of test showed that the equivalent model is accurate.

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이산 웨이블릿 변환의 디노이징 기법을 적용한 이차전지 SOC 추정알고리즘 구현 (Implementation of State-of-charge(SOC) Estimation using Denoising Technique based on the Discrete Wavelet Transform(DWT))

  • 김종훈
    • 전력전자학회:학술대회논문집
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    • 전력전자학회 2014년도 전력전자학술대회 논문집
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    • pp.150-151
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    • 2014
  • 높은 SOC(state-of-charge) 추정알고리즘의 성능을 위해서는 측정된 배터리 단자전압의 정확도가 요구된다. 그렇지만, 예기치 않은 에러로 인해 단자전압에 노이즈 성분이 추가될 경우 SOC 추정성능의 저하를 피할 수 없다. 그러므로, 본 논문에서는 이산 웨이블릿 변환(DWT;discrete wavelet transform)의 다해상도 분석(MRA;multi resolution analysis)의 디노이징(denoising)기법을 적용한 이차전지의 SOC 추정방법을 소개한다. MRA의 시간-주파수 분석을 통해 분해(decomposition)된 저주파 성분(approximation;$A_n$)과 고주파 성분(detail;$D_n$)중 노이즈에 관계된 $D_n$의 고주파 상세 계수(detail coefficient) $d_{j,k}$를 새로이 조정하고 이를 합성(synthesis)하여 디노이징을 마무리 한다. 확장 칼만필터(EKF;extended Kalman filter)의 비교 분석을 통해 제안된 방법의 타당성을 검증한다.

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Pedestrian identification in infrared images using visual saliency detection technique

  • Truong, Mai Thanh Nhat;Kim, Sanghoon
    • 한국정보처리학회:학술대회논문집
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    • 한국정보처리학회 2019년도 춘계학술발표대회
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    • pp.615-618
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    • 2019
  • Visual saliency detection is an important part in various vision-based applications. There are a myriad of techniques for saliency detection in color images. However, the number of methods for saliency detection in infrared images is inadequate. In this paper, we introduce a simple approach for pedestrian identification in infrared images using saliency. The input image is thresholded into several Boolean maps, an initial saliency map is then calculated as a weighted sum of created Boolean maps. The initial map is further refined by using thresholding, morphology operation, and Gaussian filter to produce the final, high-quality saliency map. The experiment showed that the proposed method produced high performance results when applied to real-life data.

영속도 보정 알고리즘을 이용한 전술급 관성항법장치의 자세 유지 기법 (Method for Maintaining Initial Azimuth of Tactical Grade IMU by Using Zero Velocity Update Algorithm)

  • 김선아
    • 전기학회논문지
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    • 제68권1호
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    • pp.122-128
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    • 2019
  • This paper describe the method for maintaining initial azimuth of tactical grade IMU. The proposed method uses the zero velocity update (ZUPT) algorithm based on Kalman filter and the azimuth information previously obtained through transfer alignment. ZUPT technique can estimate and correct navigation attitude errors using the observed velocity error without the need of other sensors. Also, ZUPT combined pre-obtained azimuth information allows to maintain initial azimuth for tactical grade IMU. We verify the performance improvement of the proposed azimuth maintaining method by simulation and test.