• 제목/요약/키워드: Reusable Battery

검색결과 6건 처리시간 0.016초

A Study on the development and calibration method of a modular internal resistance meter to improve the safety of reusable batteries

  • Mi-Jin Choi;Sang-Bum Kim
    • International Journal of Internet, Broadcasting and Communication
    • /
    • 제16권3호
    • /
    • pp.228-235
    • /
    • 2024
  • Battery use is increasing worldwide to achieve carbon neutrality and improve energy efficiency, but batteries are a finite resource and their application is determined by capacity and specifications. Battery performance deteriorates as the number of uses increases. A certain level of battery performance degradation has become an issue in the field of reuse and recycling, and various studies are being conducted on reuse to solve power shortages. Waste batteries from electric vehicles are suitable for building ESS based on reusable batteries, and for stable use, technical skills are needed to accurately predict battery life and determine status information. Predicting battery life and determining status information are difficult due to non-linearity due to internal structure or chemical changes. In this paper, we manufactured a modular internal resistance measuring device and compared the measured values with Hioki equipment to minimize the error rate through a correction method. As a result of testing Hioki equipment and modular measuring instruments to ensure efficiency and safety based on reusable batteries, an accuracy of over 95% was confirmed.

A Study on the Charging and Diagnosis System of xEV Reusable Waste Battery

  • Park, Sung-Jun;Kim, Chun-Sung;Park, Seong-Mi
    • 한국산업융합학회 논문집
    • /
    • 제24권6_1호
    • /
    • pp.669-681
    • /
    • 2021
  • As the supply of xEV in Korea is rapidly increasing, the amount of waste batteries is expected to increase rapidly, but the current recycling system for waste xEV batteries is very insufficient. In order to properly utilize the xEV reusable battery module, it is essential to classify it into a type that has similar discharge characteristics to the current state of health(SOH), which is the discharge capacity of the battery. This paper proposes a system that can minimize the exchange of energy with the KEPCO system by using the charging/discharging method by circulating power between batteries in order to minimize the power consumption when charging and discharging waste batteries. In the proposed system, a function to measure parameters during the charging/discharging test of the waste battery was implemented to build a customized big date for the test waste battery. In addition, the dynamic characteristics of the proposed circuit were analyzed using PSIM, which is useful for power electronics analysis, and the validity of the proposed circuit was verified through experiments.

Empirical Capacity Degradation Model for a Lithium-Ion Battery Based on Various C-Rate Charging Conditions

  • Dong Hyun Kim;Juhyung Lee;Kyungseop Shin;Kwang-Bum Kim;Kyung Yoon Chung
    • Journal of Electrochemical Science and Technology
    • /
    • 제15권3호
    • /
    • pp.414-420
    • /
    • 2024
  • Lithium-ion batteries are widely used in many applications due to their high energy density, high efficiency, and excellent cycle ability. Once an unknown Li-ion battery is reusable, it is important to measure its lifetime and state of health. The most favorable measurement method is the cycle test, which is accurate but time- and capacity-consuming. In this study, instead of a cycle test, we present an empirical model based on the C-rate test to understand the state of health of the battery in a short time. As a result, we show that the partially accelerated charge/discharge condition of the Li-ion battery is highly effective for the degradation of battery capacity, even when half of the charge/discharge conditions are the same. This observation provides a measurable method for predicting battery reuse and future capacity degradation.

SOC 및 SOH 추정을 위한 파라미터 추정기법에 관한 연구 (A Study on the Parameters Estimation for SOC and SOH of the Battery)

  • 박성준;송광석;박성미
    • 한국산업융합학회 논문집
    • /
    • 제23권5호
    • /
    • pp.853-863
    • /
    • 2020
  • As the battery ages, the internal resistance of the battery increases, so the loss due to the internal resistance increases at the same charging current, causing the battery temperature to rise, which further accelerates battery aging. Therefore, it is necessary to optimize the charging conditions according to the aging of the battery or the current charge amount, and to accurately estimate this, estimation of the parameters of the equivalent circuit is most important. This paper proposes a new measurement technique that can measure the internal resistance of a battery by analyzing a specific high frequency voltage and current applied to the battery. In addition, in order to test the validity of the proposed measurement technique, the current charging amount was estimated based on the measured internal resistance, and the terminal voltage of the constant current charging mode was automatically set and operated. As a result, good results were obtained regardless of the battery voltage. If this equipment is installed in the charging device, it is believed that it will be of great help in the stability management of the aging reusable battery.

A Study on the Lifetime Prediction of Lithium-Ion Batteries Based on the Long Short-Term Memory Model of Recurrent Neural Networks

  • Sang-Bum Kim
    • International Journal of Internet, Broadcasting and Communication
    • /
    • 제16권3호
    • /
    • pp.236-241
    • /
    • 2024
  • Due to the recent emphasis on carbon neutrality and environmental regulations, the global electric vehicle (EV) market is experiencing rapid growth. This surge has raised concerns about the recycling and disposal methods for EV batteries. Unlike traditional internal combustion engine vehicles, EVs require unique and safe methods for the recovery and disposal of their batteries. In this process, predicting the lifespan of the battery is essential. Impedance and State of Charge (SOC) analysis are commonly used methods for this purpose. However, predicting the lifespan of batteries with complex chemical characteristics through electrical measurements presents significant challenges. To enhance the accuracy and precision of existing measurement methods, this paper proposes using a Long Short-Term Memory (LSTM) model, a type of deep learning-based recurrent neural network, to diagnose battery performance. The goal is to achieve safe classification through this model. The designed structure was evaluated, yielding results with a Mean Absolute Error (MAE) of 0.8451, a Root Mean Square Error (RMSE) of 1.3448, and an accuracy of 0.984, demonstrating excellent performance.

저전력 임베디드 소프트웨어 개발을 위한 재사용 컴포넌트의 전력소모 특성 명세 방법 (Energy Characteristic Specification Method of Reusable Component for Energy Efficient Embedded Software Development)

  • 김두환;이재욱;홍장의
    • 소프트웨어공학소사이어티 논문지
    • /
    • 제24권2호
    • /
    • pp.55-66
    • /
    • 2011
  • 컴포넌트 기반 개발 방법론은 개발 편의성, 개발에 소요되는 시간, 비용 등의 이점으로 인해 그 적용 영역이 확대되고 있다. 특히 일반적인 소프트웨어에 비해 플랫폼 의존성이 높고, 제품 군(product family) 개발이 가능한 임베디드 소프트웨어의 경우 컴포넌트 기반 개발은 그 유용성이 매우 높다고 할 수 있다. 그 중에서도 스마트 폰, 태블릿 PC 등과 같은 휴대형 임베디드 시스템의 경우, 전력 소모량이 적은 소프트웨어 개발의 중요성이 부각되고 있기 때문에 재사용 컴포넌트의 소모 전력에 대한 특성은 컴포넌트 기반 개발에서 고려되어야 할 중요한 품질요소 중의 하나가 되었다. 본 연구에서는 재사용 기반의 임베디드 소프트웨어 개발 시, 컴포넌트에 대한 소모전력 특성을 고려할 수 있도록 지원하기 위하여 소모전력 특성을 포함하는 컴포넌트 명세언어를 제안한다. 이는 추후 컴포넌트 저장소에서 소모전력 특성을 고려하는 컴포넌트 검색 및 선택 등과 같은 영역에서 활용할 수 있다.

  • PDF