• The Journal of the Korea institute of electronic communication sciences
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• v.6 no.2
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• pp.256-261
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• 2011

In this paper, a design and an implementation of an Analog to Digital (A/D) converter are introduced for the conversion of monitored battery cell voltage in the cell voltage monitoring(CVM) system in battery management system(BMS), which is one of the key devices of ECO hybrid cars. The A/D converter in CVM system required a middle conversion speed and a high resolution, therefore, a successive approximate register(SAR) typed A/D converter with 10 bits resolution has been designed and implemented using Magna 0.6um 40V process. The measurement result which kept ${\pm}1$ LSB accuracy in the full scale range(FSR) of 5V, showed the usefulness of the SAR typed A/D converter in realizing a CVM system.

• 한국신재생에너지학회:학술대회논문집
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• 2010.06a
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• pp.146.1-146.1
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• 2010

최근 전력 수요의 증가와 지구 온난화 문제가 화두가 되면서 피크 전력관리와 스마트 그리드의 필요성이 강조되고 있다. 이들을 구현하기위해 반드시 필요한 것이 에너지 저장 시스템이다. 본 발표는 배터리 에너지 저장 시스템에 사용되는 능동형 셀 발란싱 기능을 갖는 배터리 관리 시스템에 관한 것이다. 전력 에너지 저장용 배터리는 원하는 전압과 전력을 저장하기위해 단전지(Cell)들을 보통 수천 개가 직렬 병렬로 연결되어 구성된다. 배터리팩을 구성하는 단전지 한 개의 용량이 다른 단전지 보다 크거나 작던지 또는 한 개의 단전지에 문제가 생기면 배터리팩 전체의 성능이 저하되든가 또는 사용 할 수가 없게 된다. 따라서 배터리팩을 구성 할 때는 용량이 동일 한 단전지들을 사용한다. 에너지 저장용 배터리팩에는 수백 와트의 단전지 들이 사용되므로 에너지 저장용 배터리팩을 위한 단전지 생산에는 많은 어려움이 있다. 능동형 셀 발란싱 기술을 사용 하면 이러한 배터리팩의 문제를 해결 할 수 있어 셀 제조원가를 절감 할 수 있을 뿐만 아니라 배터리팩의 가용용량을 늘릴 수 있고 또한 배터리팩의 수명을 연장 할 수 있다.

• Proceedings of the KIPE Conference
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• 2009.11a
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• pp.111-113
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• 2009

침몰한 잠수함 승조원의 구조용으로 사용되는 구난잠수정은 주 전원과 보조전원으로 축전지가 필수적으로 사용된다. 그러나 사용 중인 축전지 모듈이나 뱅크의 일부 셀(Cell)에 불량이 발생하면 전체 축전지 뱅크의 기능이 저하되어 구난정 시스템을 적절히 운영하지 못하여 제대로 임무를 수행하지 못하거나 커다란 손실을 가져온다. 그리고 축전지에 과 충전이나 과 방전이 발생하면 축전지가 폭발하여 화재가 발생하거나 축전지 내부 구조의 파괴로 더 이상 사용 못하는 경우가 발생한다. 따라서 이와 같이 축전지에 손상을 줄 수 있는 상황을 미연에 방지하여 축전지가 최적의 동작 상태를 유지할 수 있도록 해주고 전체 시스템의 신뢰성을 향상시키기 위하여 본 논문에서는 구조잠수정용 리튬폴리머 (Lithium Polymer) 축전지 관리장치의 개발을 수행하였다. 본 논문을 통해 축전지 관리 장치(BMS : Battery Management System)의 핵심기술인 H/W 및 S/W 설계기술, 각 Cell의 전압 제어기술, SOC(State of Charge) 제어 알고리즘 도출 및 시스템 운영 기술을 구현하였으며 개발된 알고리즘과 기능은 충 방전 부하시험과 한국 선급인증시험을 통해 유효한 방식임을 확인하였다.

• Transactions on Electrical and Electronic Materials
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• v.18 no.3
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• pp.136-140
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• 2017

The state of charge (SOC) is an important parameter in a battery-management system (BMS), and is very significant for accurately estimating the SOC of a battery. Li-ion batteries boast of excellent performance, and can only remain at their best working state by means of accurate SOC estimation that gives full play to their performances and raises their economic benefits. This paper summarizes some measures taken in SOC estimation, including the discharge experiment method, the ampere-hour integral method, the open circuit voltage method, the Kalman filter method, the neural network method, and electrochemical impedance spectroscopy (EIS. The principles of the various SOC estimation methods are introduced, and their advantages and disadvantages, as well as the working conditions adopted during these methods, are discussed and analyzed.

• Proceedings of the KIPE Conference
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• 2015.07a
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• pp.401-402
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• 2015

In this paper a direct cell-to-cell charge balancing circuit which can transfer the charge from any cell to any cell in the battery string is introduced. In the proposed topology the energy in the high voltage cell is transferred to the low voltage cell through the simple operation of a dc-dc converter to get fast equalization. Furthermore, the charge equalization can be performed regardless of the battery module operation whether it is being charged, discharged or relaxed. The monitoring circuit composed of a DSP and a battery monitoring IC is designed to monitor the cell voltage and protect the battery. In order to demonstrate the advantages of the proposed topology, a prototype circuit was designed and applied to 12 Lithium-Ion battery module. It has been verified with the experiments that the charge equalization time of the proposed method was shortest compared with those of other methods.

• Proceedings of the KIPE Conference
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• 2015.11a
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• pp.7-8
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• 2015

In this paper a cell-to-cell fast charge balancing circuit for the Lithium-Ion battery module is proposed. In the proposed topology the energy in a high voltage cell is transferred directly to a low voltage cell through the operation of the dc-dc converter. Furthermore, the charge balancing can be performed regardless of the battery operation whether it is being charged, discharged or relaxed. The monitoring circuit composed of a DSP and a battery monitoring IC is designed to monitor the cell voltage and detect the inferior cell thereby protecting the battery module from failure. In order to demonstrate the performance of the proposed topology, a prototype circuit was designed and applied to 12 Lithium-Ion battery module. It has been verified with the experiments that the charge equalization time of the proposed method was shorter compared with those of other methods.

• The Transactions of the Korean Institute of Power Electronics
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• v.26 no.6
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• pp.381-389
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• 2021

Most diagnosis approaches rely on historical failure data that might not be feasible in real operating conditions because the battery voltage and internal parameters are nonlinear according to various operating conditions, such as cell-to-cell configuration and initial condition. To overcome this issue, the estimator and the predictor require integrated approaches that consider comprehensive data, with the degradation process and measured data taken into account. In this paper, vector autoregressive models (VAR) with various parameters that affect overdischarge to the cell in the battery pack were constructed, and the cell-to-cell parameters were identified using an adaptive model to analyze the influence of failure prognosis. The theoretical analysis is validated using experimental results in terms of the feasibility and advantages of fault prognosis.

• Proceedings of the KIPE Conference
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• 2016.07a
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• pp.171-172
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• 2016

본 논문에서는 군 주둔지의 전원공급을 위한 이동형 ESS 시스템에 대해서 제안한다. 제안하는 시스템은 군 주둔지와 같이 외부 소음 및 열에 민감한 시스템에서 디젤발전기를 대체하기 위하여 설계되었으며, 배터리 팩, BMS(Battery Management System), EMS(Energy Management System), PCS(Power Conditioning System), PMS(Power Management System), 구조물 그리고 차량체계로 구성된 시스템을 소개한다. 그리고 실험결과에서는 260kWh급의 이동형 ESS의 실차에 장착된 결과를 제시한다.

• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.28 no.11
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• pp.77-83
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• 2014

The Estimation of State of Charge(SOC) for batteries is an important aspect of a Battery Management System(BMS). A method for estimating the SOC is proposed in order to overcome the individual disadvantages of the current integral and Open Circuit Voltage(OCV) estimation methods by combining them using Extended Kalman filter(EKF). The non-linear characteristics of the Li-Ion RC battery model used in this study is also solved through EKF. The proposed method is simulated in a Matlab environment with a Li-Ion Kokam battery (3.7V, 1,500mAh). Results showed that there is an improvement in the estimation error when using the proposed model compared to the conventional current integral method.

• The Transactions of the Korean Institute of Power Electronics
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• v.24 no.3
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• pp.139-146
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• 2019

As the number of electric vehicles (EVs) in Jejudo Island increases, the secondary use of EV batteries is becoming increasingly mandatory not only in reducing greenhouse gas emissions but also in promoting resource conservation. For the secondary use of EV batteries, their capacity and performance at the end of automotive service should be evaluated properly. In this study, the battery state information from the on-board diagnostics or OBD2 port was acquired in real time while driving three distinct routes in Jejudo Island, and then the battery operating characteristics were assessed with the driving routes. The route with higher altitude led to higher current output, i.e., higher C-rate, which would reportedly deteriorate state of health (SOH) faster. In addition, the SOH obtained from the battery management system (BMS) of a 2017 Kia Soul EV with a mileage of 55,000 km was 100.2%, which was unexpectedly high. This finding was confirmed by the SOH estimation based on the ratio of the current integral to the change in state of charge. The SOH larger than 100% can be attributed to the rated capacity that was lower than the nominal capacity in EV application. Therefore, considering the driving environment and understanding the SOH estimation process will be beneficial and necessary in evaluating the capacity and performance of retired batteries for post-vehicle applications.