• Journal of Electrical Engineering and Technology
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• v.13 no.4
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• pp.1759-1768
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• 2018

The energy density, power density and ohm resistance of battery change significantly as results of battery aging, which lead to decrease in the accuracy of the equivalent model. A parameter identification method of the equivale6nt circuit model with 3 R-C branches based on the test database of battery life cycle is proposed in this paper. This database is built on the basis of experiments such as updating of available capacity, charging and discharging tests at different rates and relaxation characteristics tests. It can realize regular update and calibration of key parameters like SOH, so as to ensure the reliability of parameters identified. Taking SOH, SOC and T as independent variables, lookup table method is adopted to set initial value for the parameter matrix. Meanwhile, in order to ensure the validity of the model, the least square method based on variable forgetting factor is adopted for optimizing to complete the identification of equivalent model parameters. By comparing the simulation data with measured data for charging and discharging experiments of Li-ion battery, the effectiveness of the full life cycle database and the model are verified.

• Proceedings of the KIPE Conference
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• 2018.07a
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• pp.489-490
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• 2018

As the number of electric vehicles (EV) increases, there is an increasing interest in the post-vehicle application of the EV batteries. For the second use application of EV batteries, the state of health (SOH) at the end of automotive service has to be evaluated differently from the automotive perspective. It will be helpful to consider the driving conditions of EVs in understanding the performance deterioration trend of the battery. In this paper, we acquired the battery status information in real time during driving and compared the characteristics by the driving routes. The SOH from the BMS can be rescaled to percentage ratio to give a more general idea about the performance degradation.

• Proceedings of the KIPE Conference
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• 2016.11a
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• pp.85-86
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• 2016

본 논문은 내부 저항을 추정하여 배터리 노화 상태 (State of Health)를 판단하는 알고리즘을 제안한다. 내부 저항은 차량 구동 시 발생하는 전류 변화량과 그에 따른 전압강하 특성을 이용하여 추정되며, 정확도를 높이기 위해 차량의 주행 특성을 고려하여 추정 조건을 결정한다. 알고리즘의 정확도는 MATLAB 시뮬레이션을 통해 검증한다.

• Aerospace Engineering and Technology
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• v.2 no.2
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• pp.58-65
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• 2003

KARI Electrical Test Team performed the SOH (State Of Health) test and Thermal Cycling test for small satellite of KOMPSAT-1 PFM at KARI SITC Highbay as per Storage plan every year, and verified that the system/subsystem units function installed on PFM were good without significant degradation causing from long-term storage. This paper describes the test items, test method, test procedure and selected test result data.

• The Transactions of the Korean Institute of Electrical Engineers P
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• v.64 no.4
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• pp.231-235
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• 2015

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.

• Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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• 2009.06a
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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.

• Journal of Power Electronics
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• v.10 no.2
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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.

• KEPCO Journal on Electric Power and Energy
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• v.8 no.2
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• pp.143-149
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• 2022

As ESS safety issues increase recently, there is a need to more precisely monitor the temperature of the ESS. In this paper, DTS technology for temperature monitoring of ESS batteries is introduced and the temperature measurement principle is explained. The temperature of the battery module is measured using the DTS system, and the thermal deviation between battery cells inside the battery module is analyzed. In order to analyze how thermal imbalance affects the charging and discharging performance of the battery, an accelerated degradation test was conducted. Cycle life characteristics analysis, battery surface temperature change, and AC impedance characteristics were conducted to analyze how the performance of battery cells differs according to temperature conditions.

• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.37 no.11
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• pp.1157-1163
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• 2009

This paper introduces the lithium ion battery management system for STSAT-3 satellite. The specifications of lithium ion battery unit are proposed to supply power to the satellite and the overall electrical design for lithium ion battery BMS is presented. Furthermore, the test results of battery management system are shown to verify the design.

• Proceedings of the KIPE Conference
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• 2020.08a
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• pp.218-220
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• 2020

배터리 팩을 구성하는 단위 셀들은 전기화학적 특성으로 인해 다양한 내부 파라미터들이 동일한 값을 가지지 않고 편차가 있으며, 편차가 심할 경우 과방전 및 과충전의 원인이 될 수 있다. 기존의 연구된 SOF (State-Of-Function) 알고리즘의 경우 SOC (State-Of-Charge), SOH (State-Of-Health)와 같은 파라미터를 하나의 수식으로 정의하여 배터리 팩의 가용 전력을 예측하는 지표로써 사용되어 왔으나, 본 논문에서 제안하는 새로운 SOF 알고리즘은 배터리 팩 내부의 단위 셀간 파라미터들의 편차를 하나의 수식으로 정의하여 배터리 팩의 안전 상태를 나타낼 수 있는 지표로써 활용한다. SOF 알고리즘을 통해 배터리 팩의 안전 상태를 확인하고 검증하기 위해 21700 NMC(LiNiMnCoO₂) 계열의 고용량 배터리를 14S40P로 구성한 배터리 팩을 사용했다.