• Journal of the Korean Operations Research and Management Science Society
• /
• v.18 no.1
• /
• pp.55-69
• /
• 1993

The tests in a battery can be performed in different sequences, and different sequential testing strategies will have exactly the same overall performances for that battery, but at different expected total costs and expected time consumptions. By using a multiobjective dynamic programming model, we are able to find all noninferior testing strategies for a given battery of tests and a stopping rule.

• Proceedings of the KIPE Conference
• /
• 2012.07a
• /
• pp.152-153
• /
• 2012

본 논문에서는 리튬이온 배터리 셀을 이용한 4kWh급 배터리팩의 배터리 관리 시스템(BMS, Battery Management System) 개발을 연구하였다. 리튬이온 배터리는 셀의 특성 때문에 반드시 배터리 관리 시스템이 필요하며, 배터리 팩으로 제작시 각 셀의 상태 모니터링 및 보호를 위하여 필수적인 장치이다. 제작된 배터리 관리 시스템은 충방전 시험과정을 거쳐 순수 전기자동차에 사용될 배터리 관리 시스템으로 사용가능함을 실험하였다.

• Smart Media Journal
• /
• v.11 no.11
• /
• pp.63-74
• /
• 2022

Nowadays, lithium-ion battery has become more popular around the world. Knowing when batteries reach their end of life (EOL) is crucial. Accurately predicting the remaining useful life (RUL) of lithium-ion batteries is needed for battery health management systems and to avoid unexpected accidents. It gives information about the battery status and when we should replace the battery. With the rapid growth of machine learning and deep learning, data-driven approaches are proposed to address this problem. Extracting aging information from battery charge/discharge records, including voltage, current, and temperature, can determine the battery state and predict battery RUL. In this work, we first outlined the charging and discharging processes of lithium-ion batteries. We then summarize the proposed techniques and achievements in all published data-driven RUL prediction studies. From that, we give a discussion about the accomplishments and remaining works with the corresponding challenges in order to provide a direction for further research in this area.

• The Transactions of the Korean Institute of Power Electronics
• /
• v.11 no.6
• /
• pp.558-562
• /
• 2006

Although secondary batteries, called rechargeable batteries, are very important energy elements in modern society, their application is hindered by the typical nonlinear and irreversible characteristics. Precise monitoring of the state of health(SOH) for each battery cell on line is crucial for stable operation and proper management of them. This paper proposes diagnostic method of the SOH for a battery cell on line without interruption on its operation nor bad effect on its life. This paper practically diagnoses on 120 industrial batteries and provides some guide lines to decide whether to exchange or not.

• Journal of Auto-vehicle Safety Association
• /
• v.14 no.1
• /
• pp.55-61
• /
• 2022

Along with global environmental issues, the size of the electric vehicle market has recently skyrocketed. Various efforts have been made to extend mileage, one of the biggest problems of the electric vehicles, and development of batteries with high energy densities has led to exponential growth in mileage and performance. However, proper thermal management is essential because these high-performance batteries are affected by continuous heat generation and can cause fires due to thermal runaway phenomena. Therefore, thermal management of the battery is studied through the optimal design of the guide vanes, while utilizing the existing battery casing to ensure the safety of the electric vehicles. A battery from T-company, one of a manufacturer of the electric vehicles, was used for the research, and the commercial CFD software, ANSYS CFX V20.2, was used for analysis. The guide vanes were derived through optimal design based on a genetic algorithm with flow analysis. The optimized guide vanes show improved heat removal performance.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.25 no.5
• /
• pp.709-718
• /
• 2021

As regulations on environmental pollution of ships have been strengthened, interest in smart ships such as electric propulsion ships equipped with hybrid power systems is increasing. Since batteries used in electric propulsion ships have a larger capacity than batteries used in vehicles, the price is high and maintenance is considered important. The ship's battery is manufactured as an integral type and is managed by the battery management system, and the maintenance and repair of the battery is performed through the replacement of the battery. we design and implement a battery module and a control algorithm using pre-cell for easy battery management. In addition, a controller is designed to transmit the data necessary for the electric propulsion ship power system control to the power control system. When a battery to which the corresponding spare-cell is applied is used, the stability of the ship and the battery system is increased, and it can have an advantage in terms of maintenance and repair.

• Proceedings of the Korean Operations and Management Science Society Conference
• /
• 2006.05a
• /
• pp.451-464
• /
• 2006

• Proceedings of the Korean Society of Precision Engineering Conference
• /
• 2011.06a
• /
• pp.1047-1048
• /
• 2011

• Proceedings of KOSOMES biannual meeting
• /
• 2017.04a
• /
• pp.219-219
• /
• 2017

• Journal of the Semiconductor & Display Technology
• /
• v.10 no.4
• /
• pp.25-29
• /
• 2011

Emerging demands for rechargeable battery for various applications needs more effective battery management system such as the prediction of the usable time about a battery. Many prediction methods have been suggested but none of them come into bounds of reliability. In this paper, we proposed a new prediction algorithm for the remaining capacity of a rechargeable battery by using the transformed curve based on its impedance. Hardware for monitoring a battery was designed and made. Through a series of experiment, we showed the effectiveness of the proposed prediction algorithm of a battery's remaining capacity.