• 제목/요약/키워드: Reset algorithm

검색결과 35건 처리시간 0.03초

A Mixed SOC Estimation Algorithm with High Accuracy in Various Driving Patterns of EVs

  • Lim, Dong-Jin;Ahn, Jung-Hoon;Kim, Dong-Hee;Lee, Byoung Kuk
    • Journal of Power Electronics
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    • 제16권1호
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    • pp.27-37
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    • 2016
  • In this paper, a mixed algorithm is proposed to overcome the limitations of the conventional algorithms, which cannot be applied in various driving patterns of drivers. The proposed algorithm based on the coulomb counting method is mixed with reset algorithms that consist of the enhanced OCV reset method and the DCIR iterative calculation method. It has many advantages, such as a simple model structure, low computational overload in various profiles, and a low accumulated SOC error through the frequent SOC reset. In addition, the enhanced parameter based on a mathematical analysis of the second-order RC ladder model is calculated and is then applied to all of the methods. The proposed algorithm is verified by experimental results based on a 27-Ah LiPB. It is observed that the SOC RMSE of the proposed algorithm decreases by about 9.16% compared to the coulomb counting method.

퍼지로직 과열도 재설정 알고리즘을 사용한 멀티형 냉방시스템의 전자팽창밸브 제어 (The EEV Control of the Multi-type Air-conditioning System by using a Fuzzy Logic Superheat Temperature Setpoint Reset Algorithm)

  • 한도영;이상원
    • 설비공학논문집
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    • 제15권5호
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    • pp.382-388
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    • 2003
  • Refrigerant flow rates of the multi-type air-conditioning system can be regulated by electronic expansion valves (EEV). The performance of the multi-type air-conditioning system may be improved by lowering the superheat at the compressor suction side. In this study, a superheat temperature setpoint reset algorithm was developed by using fuzzy logics, and a PI algorithm was applied to control the superheat temperature near setpoints. Experimental results showed energy savings and stable operations at a multi-type air-conditioning system. Therefore, the developed setpoint reset algorithm may be effectively used for the EEV superheat temperature control of the multi-type air-conditioning system.

$CO_2$ 에어컨 시스템을 위한 고압재설정알고리즘의 성능분석 (Performance Analysis of the High-side Pressure Reset Algorithm for a $CO_2$ Air-conditioning System)

  • 한도영;노희전
    • 대한설비공학회:학술대회논문집
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    • 대한설비공학회 2008년도 동계학술발표대회 논문집
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    • pp.393-398
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    • 2008
  • In order to protect the environment from the refrigerant pollution, the $CO_2$ may be regarded as one of the most attractive alternative refrigerants for an automotive air-conditioning system. Control methods for a $CO_2$ system should be different because of the unique property of a $CO_2$ as a refrigerant. Especially, the high-side pressure of a $CO_2$ system should be controlled for the efficient operation. The high-side pressure algorithm being composed of the pressure setpoint algorithm and the pressure setpoint reset algorithm was developed. The pressure setpoint algorithm, by using a least square method, was developed. The pressure setpoint reset algorithm, by using a fuzzy logic and by using a proportional logic, was also developed and compared. Simulation results showed that a proportional logic was more practical than a fuzzy logic for the pressure setpoint reset algorithm.

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향상된 OCV 추정기법을 이용한 전류적산법의 SOC Reset 알고리즘 제안 (SOC Reset Algorithm based Enhanced OCV Estimation for Coulomb Counting Method)

  • 정용민;조용기;안정훈;신승민;이병국
    • 전력전자학회:학술대회논문집
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    • 전력전자학회 2013년도 추계학술대회 논문집
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    • pp.220-221
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    • 2013
  • 본 논문은 OCV 추정기법을 이용한 전류적산법의 SOC Reset 알고리즘을 제안한다. 제안한 알고리즘은 배터리 상황에 따라 OCV 추정을 위한 휴지시간을 달리 설정한다. 이에 따라 짧은 휴지 시에도 SOC Reset Point를 늘려 전류적산법의 오차를 Reset함으로써 SOC 추정 능력을 향상한다. Li-ion 27 Ah/99.9 Wh 배터리의 충 방전 실험을 통해서 OCV 판별 시간을 도출하여 알고리즘을 구현한다. 전기자동차의 주행 패턴을 모사하여 기존의 전류적산법과 비교 실험을 통해 제안한 알고리즘을 검증한다.

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최소제곱법과 비례로직을 이용한 시스템고압 알고리즘 (The High-side Pressure Algorithm by using a Least Square Method and a Proportional Logic)

  • 한도영;노희전
    • 대한설비공학회:학술대회논문집
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    • 대한설비공학회 2008년도 하계학술발표대회 논문집
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    • pp.16-21
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    • 2008
  • In order to protect the environment from the refrigerant pollution, the $CO_2$ may be regarded as one of the most attractive alternative refrigerants for an automotive air-conditioning system. Control methods for a $CO_2$ system should be different because of $CO_2$'s unique properties as a refrigerant. Especially, the high-side pressure of a $CO_2$ system should be controlled for the effective operation of the system. High-side pressure algorithms, which were composed of the pressure setpoint algorithm and the pressure setpoint reset algorithm, were developed. Pressure setpoint algorithms, by using a neural network and by using a least square method, were developed and compared. Pressure setpoint reset algorithms, by using a fuzzy logic and by using a proportional logic, were also developed and compared. Simulation results showed that a least square method was more useful than a neural network for the pressure setpoint algorithm. And a proportional logic was more practical than a fuzzy logic for the pressure setpoint reset algorithm.

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The Neural-Fuzzy Control of a Transformer Cooling System

  • Lee, Jong-Yong;Lee, Chul
    • International Journal of Advanced Culture Technology
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    • 제4권2호
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    • pp.47-56
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    • 2016
  • In transformer cooling systems, oil temperature is controlled through the use of a blower and oil pump. For this paper, set-point algorithms, a reset algorithm and control algorithms of the cooling system were developed by neural networks and fuzzy logics. The oil inlet temperature was set by a $2{\times}2{\times}1$ neural network, and the oil temperature difference was set by a $2{\times}3{\times}1$ neural network. Inputs used for these neural networks were the transformer operating ratio and the air inlet temperature. The inlet set temperature was reset by a fuzzy logic based on the transformer operating ratio and the oil outlet temperature. A blower was used to control the inlet oil temperature while the oil pump was used to control the oil temperature difference by fuzzy logics. In order to analysis the performance of these algorithms, the initial start-up test and the step change test were performed by using the dynamic model of a transformer cooling system. Test results showed that algorithms developed for this study were effective in controlling the oil temperature of a transformer cooling system.

퍼지 알고리즘을 기반으로한 바닥복사 난방시스템의 외기보상제어 (Outdoor Reset Control based on Fuzzy Algorithm for Radiant Floor Heating System)

  • 최종요;백재호;김은태;이희진;박민용
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2008년도 하계종합학술대회
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    • pp.1073-1074
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    • 2008
  • This paper presents outdoor reset control based on fuzzy algorithm for radiant floor heating system. We construct fuzzy system under indoor temperature and outdoor temperature. Simulation is based on TRNSYS with MATLAB. MATLAB is calculating and decide heat source using fuzzy system. Energy efficiency of Fuzzy algorithm is analyzed in term of indoor by TRNSYS System.

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Automatic Recovery and Reset Algorithms for System Controller Errors

  • Lee, Yon-Sik
    • 한국컴퓨터정보학회논문지
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    • 제25권3호
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    • pp.89-96
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    • 2020
  • 본 논문은 시스템 내부에서 소프트웨어 오류가 발생하였을 경우 컨트롤러 내의 Watchdog Timer를 이용하여 시스템의 상태를 오류 발생시점 이전 상태로 복구하는 시스템을 설계 구현하고, 하드웨어 오류 발생 시 별도의 리셋 회로를 통해 시스템을 재실행할 수 있는 기술을 제안한다. 제안 시스템은 외부 지원 없이 시스템 자체적으로 반영구적으로 작동 할 수 있도록 함으로써, 시스템의 안정적인 작동, 유지비용 절감 및 신뢰성을 제공하며, 고 신뢰성 응용분야에서 요구되는 자가 동작, 진단 및 복구 기능을 통한 시스템의 항상성 유지를 위한 적용이 가능하다.