• 대한임베디드공학회논문지
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• 제8권4호
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• pp.213-218
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• 2013

In this research, we report on the development of simulation system for performance verification of BMS(Battery Management System) which is utilized in electric vehicles. In the industrial circles, a manufacturer of BMS typically tests their system with real battery packs. However, it takes a long time to test all functions of BMS. Here, we develop BMU(Battery Managament Unit) as an embedded board, which will be installed in electric vehicle for controlling battery packs. All other environment factors for testing BMU are developed in softwares in order to reduce the term of test. Especially, the proposed system consists of cell simulator and CMU(Cell Management Unit) simulator which simulate real battery cells and control battery cells. These simulators enable the BMU to test more battery cells. In addition, proposed system provides diagnosis program in order to diagnose and monitor the condition of BMS which makes the test of BMS more easily. In order to verify the performance of the developed simulator, we have performed the experiment with real battery packs and our simulator. Through comparing two results of experiments, we verify that developed simulator shows better performance in terms of less amount of testing duration though having high reliability.

• 조명전기설비학회논문지
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• 제28권12호
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• pp.74-83
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• 2014

This paper proposes a study on the configuration of balancing of plant(BOP) and implementation of battery management system(BMS) functions for vanadium redox flow battery(VRFB) and propose a method consists of sensor and required design specifications BOP system configuration. And it proposes an method of the functions implementation and control algorithm of the BMS for flow battery. Functions of BMS include temperature control, the charge and discharge control, flow control, level control, state of charge(SOC) estimation and a battery protection through the sensor signal of BOP. Functions of BMS is implemented by the sensor signal, so it is recognized as a very important factor measurement accuracy of the data. Therefore, measuring a mechanical signal(flow rate, temperature, level) through the BOP test model, and the measuring an electrical signal(cell voltage, stack voltage and stack current) through the VRFB charge-discharge system and analyzes the precision of data in this paper. Also it shows a good charge-discharge test results by the SOC estimation algorithm of VRFB. Proposed BOP configuration and BMS functions implementation can be used as a reference indicator for VRFB system design.

• Journal of Electrical Engineering and Technology
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• 제9권5호
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• pp.1729-1738
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• 2014

The offline verification of state of charge estimation, power estimation, fault diagnosis and emergency control of battery management system (BMS) is one of the key technologies in the field of electric vehicle battery system. It is difficult to test and verify the battery management system software in the early stage, especially for algorithms such as system state estimation, emergency control and so on. This article carried out the virtual environment modeling for verification of battery management system. According to the input/output parameters of battery management system, virtual environment is determined to run the battery management system. With the integration of the developed BMS model and the external model, the virtual environment model has been established for battery management system in the vehicle's working environment. Through the virtual environment model, the effectiveness of software algorithm of BMS was verified, such as battery state parameters estimation, power estimation, fault diagnosis, charge and discharge management, etc.

• 전기학회논문지
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• 제67권8호
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• pp.1055-1061
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• 2018

Recently, due to the rapid development of electric vehicle and energy storage system, it is emphasized for battery management system to be needed and to be improved. BMS carries out various movement for optimization the use of the energy and safe use of secondary battery, these movement of BMS start at high wattage shunt fixed resistor which performs a function for detecting current among the BMS components. In addition, for the safe operation of secondary battery, the reliability of current voltage variation detected from shunt should be secured, and for corresponding characteristics, the quality of Temperature coefficient of resistance for BMS shunt and the quality of Thermo electromotive force all must be excellent. For these reasons, this study comes up with the stabilization plan for thermo electromotive force and temperature coefficient of resistance of BMS shunt resistor which is key to secondary battery operation.

• Journal of Power Electronics
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• 제10권2호
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• pp.210-217
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• 2010

This paper introduces a lithium ion battery management system (BMS) for the STSAT-3 satellite. The specifications of a lithium ion battery unit are proposed to supply power to the satellite and the overall electrical and mechanical designs for a lithium ion battery management system are presented. The structural simulation results will be shown to confirm the behavior of both the BMS and the cells.

• 한국컴퓨터정보학회:학술대회논문집
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• 한국컴퓨터정보학회 2017년도 제56차 하계학술대회논문집 25권2호
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• pp.388-389
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• 2017

본 논문에서는 효율적인 에너지 관리를 위해 리튬이온 배터리를 적용 능동 셀 밸런싱 시스템 BMS에 대해 제안하였다. 제안된 방법은 다수의 셀과 하나의 커패시터로 구성된 SSC(Single Switched Capacitor) 방식에서 사용되는 커패시터를 리튬이온 배터리로 변경하여 적용한 것이다. SSC 방식은 커패시터의 방향성으로 인하여 홀수 번째와 짝수 번째의 배터리에 대해 별도의 스위치를 설치하여야 하며 조작이 복잡하다는 단점을 가지고 있었다. 이러한 단점을 보완하여 커패시터를 리튬이온 배터리로 대체하여 셀의 순서에 상관없이 적용이 가능한 셀 밸런싱 방법을 제안하였다. 제안된 방법의 효율성은 BMS를 구현하여 실험 하였다. 실험 결과 셀 밸런싱이 기존의 SSC 방식보다 개선되어 효율성이 입증되었다.

• 한국산학기술학회논문지
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• 제16권5호
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• pp.3391-3398
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• 2015

현재 대부분의 도서지역에서는 태양광발전을 효율적으로 운용하기 위하여 대용량 연축전지가 많이 사용되고 있지만, 풍력발전의 도입, 축전지 교체로 인하여 리튬이온전지의 도입이 증가하고 있다. 따라서 본 논문에서는 기존에 많이 보급되어 사용되고 있는 연축전지와 리튬이온전지의 장점을 최대한 활용하기 위하여, 연축전지와 리튬이온전지용 하이브리드 BMS 알고리즘을 제시하였다. 즉, 각 전지의 충전상태(state of charge, SOC)를 평가하는 알고리즘과 각 전지의 도입비용과 운용비용에 따른 최적 구성비를 산출하는 하이브리드 운용 알고리즘을 제안하였다. 상기의 알고리즘을 이용하여 다양한 시뮬레이션을 수행한 결과, 기존의 충전상태 평가 방법보다 오차율이 개선되어 정확한 충전상태에 대한 결과가 산출되었고, 각 전지의 도입비용과 운용비용이 최소화되는 조건에서 최적구성비를 구하여, 본 논문에서 제안한 하이브리드 BMS 알고리즘의 유용성을 확인하였다.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2021년도 추계학술대회
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• pp.59-61
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• 2021

최근 선박/해양설치선의 운항 과정에서 오염물질과 온실가스 배출을 최소화하기 위한 전기추진개발이 진행되고 있다. 이에 필요한 선박/해양설치선 내 ESS 시스템인 배터리의 사용과 효율적 관리에 대한 중요성이 높아지고 있다. 통상적으로 Battery가 적용된 ESS는 BMS에 의해 Cell Balancing 및 수명이 실시간 모니터링이 되고 있다. 선박/해양설치선에는 여러 개소의 ESS Room을 탑재하고 있으며, 최근 전기추진개발 수요로 동일 사양의 ESS 시스템이 적용된 ESS Room이 구성되고 있다. 본 논문에서는 각 Room의 BMS Data를 비교하여 Battery Pack 및 Cell Balancing의 고장을 추가적으로 예측 진단하는 알고리즘을 제안한다. 제안한 알고리즘은 선박/해양설치선의 환경변화에 따른 각 ESS Room의 BMS Data를 비교하여 정확한 상태정보를 측정하고 신뢰성있게 모니터링하여 대형사고를 미연에 방지할 수 있다.

• 한국전기전자재료학회:학술대회논문집
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• 한국전기전자재료학회 2009년도 하계학술대회 논문집
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• pp.477-477
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• 2009

Bimodal Tram developed by KRRI is driven by a series Hybrid propulsion system which has both the CNG engine, generator and LPB(Lithium Polymer Battery) pack. It has three driving modes; Hybrid mode, Engine mode and Battery mode. Even in case of Battery mode, LPB pack to get enough power to drive the vehicle only by itself onsists of 168 LPB cells(80Ah per lcell), 650V. It is important thing to manage LPB pack in a right way, which will extend the lifetime of LPB cells and operate in the hybrid mode effectively. This paper has shown the development of battery management system(12 BMS, 1 BMS per 14cells) to manage LPB pack which is connected with CAN(Controller Area Network) each other and measure the voltage, current, temperature and also control the cooling fan inside of LPB pack. Using the measured data, BMS can show the SOC(State of Charge), SOH(State of Health) and other status of LPB pack including of the cell balancing.

• 전력전자학회논문지
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• 제24권1호
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• pp.16-24
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• 2019

The performance of the battery management system (BMS) algorithm is important for ensuring the stability and efficient operation of battery packs. Such a performance is determined by the internal parameters of the electrical equivalent circuit model (EECM). This study proposes a performance improvement and verification of battery parameters for the BMS algorithm using electrical experiments and tools. The parameters were extracted through electrical characteristic experiments, and an EECM based on Ah counting was designed. Simulation results using the EECM were compared with actual experimental data to determine the best parameter extraction method.