• 제목/요약/키워드: Battery model

검색결과 584건 처리시간 0.027초

선형회귀 및 ARIMA 모델을 이용한 배터리 사용자 패턴 변화 추적 연구 (A study of Battery User Pattern Change tracking method using Linear Regression and ARIMA Model)

  • 박종용;유민혁;노태민;신대견;김성권
    • 한국전자통신학회논문지
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    • 제17권3호
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    • pp.423-432
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    • 2022
  • 전기자동차는 운전자가 바뀌거나 운전자의 주행습관이 바뀜에 따라 SOH가 급격하게 감소할 수 있고, 이러한 운전습관은 배터리에 과부하를 주어 배터리 수명의 단축 및 안전 문제를 일으킬 수 있다. 본 논문에서는 전기자동차의 계기판에 사용자 패턴 변화에 따른 SOH의 변화를, 실시간으로 나타내기 위하여, NASA에서 제공하는 배터리 데이터 세트를 학습하고, 기계학습 모델을 구축 후, 변화된 사용자 패턴을 포함한 배터리에 대해 선형회귀와 ARIMA 모델로 예측하는 실험을 진행하였다. 그 결과, 변화된 사용자 패턴에 따른 변경된 수명을 예측하는 경우, 배터리 데이터가 많이 확보되었다면 선형회귀가 유용하고, 데이터가 많이 확보되지 않은 경우는 ARIMA 모델이 대안이 될 수 있다는 연구결과를 얻을 수 있었다.

고강도 경량 48V MHEV 배터리 하우징 개발을 위한 구조시뮬레이션에 관한 연구 (A Study on Structural Simulation for Development of High Strength and Lightweight 48V MHEV Battery Housing)

  • 김용대;이정원;정의철;이성희
    • Design & Manufacturing
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    • 제17권1호
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    • pp.48-55
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    • 2023
  • In this study, on the structure simulation for manufacturing a high strength/light weight 48V battery housing for a mild hybrid vehicle was conducted. Compression analysis was performed in accordance with the international safety standards(ECE R100) for existing battery housings. The effect of plastic materials on compressive strength was analyzed. Three models of truss, honeycomb and grid rib for the battery housing were designed and the strength characteristics of the proposed models were analyzed through nonlinear buckling analysis. The effects of the previous existing rib, double-sided grid rib, double-sided honeycomb rib and double-sided grid rib with a subtractive draft for the upper cover on the compressive strength in each axial direction were examined. It was confirmed that the truss rib reinforcement of the battery housing was very effective compared to the existing model and it was also confirmed that the rib of the upper cover had no significant effect. In the results of individual 3-axis compression analysis, the compression load in the lateral long axis direction was the least and this result was found to be very important to achieve the overall goal in designing the battery housing. To reduce the weight of the presented battery housing model, the cell molding method was applied. It was confirmed that it was very effective in reducing injection pressure, clamping force and weight.

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Design and Development of a Public Waste Battery Diagnostic Device

  • Kim, Sang-Bum;Lee, Sang-Hyun
    • International Journal of Advanced Culture Technology
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    • 제10권3호
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    • pp.281-286
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    • 2022
  • In this study, design of an intuitive internal resistance diagnostic device is to diagnose the residual capacity and aging of the battery regardless of the model and the internal protocol of the waste battery through the method of measuring the internal resistance of a waste battery. In this paper, charging and discharging were continuously performed with 2A charging and 5A discharging in order to secure data on impedance changes that may occur in the charging and discharging process of various methods. As a result of the final experiment, it was confirmed that the impedance change occurred during charging and discharging, and the amount of change increased as the charging/discharging C-rate increased. In addition, it was confirmed that the waste battery aged or abnormal cell had a large change in the impedance value.

수중 배터리 추진시스템 효과도 시뮬레이션에 관한 연구 (A System Effectiveness Simulation Model for Underwater Battery Propulsion Systems)

  • 고용석;윤원영
    • 산업공학
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    • 제11권2호
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    • pp.25-37
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    • 1998
  • In this paper, a simulation model is proposed to evaluate the system effectiveness of underwater battery propulsion systems which consist of motors, main switchboard, generators and batteries. The various operating environments such as emergency situations, equipment's failure and repair, and system performance degradation due to equipment's failures affect the system effectiveness and the environment elements are considered as the input parameters in the simulation model. Some simulation results with estimated data are studied.

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연식주퇴 시스템 축소 모델에 대한 ADAMS 해석 (ADAMS Simulation on the Scale Model of the FOOB System)

  • 김종혁;배재성;황재혁
    • 한국군사과학기술학회지
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    • 제14권1호
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    • pp.9-14
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    • 2011
  • Due to the improvement of science technology, the future tank system will have the multi-function for more powerful firing. and the tank, mounted this multi-function, must be lighter to maintain the mobility. Therefore, new brecoil technology would be necessary to reduce the recoil force for lighter platform. The present study covers a FOOB(Fire-Out0-Of-Battery) system that can reduce the recoil force dramatically. The firing sequence of the FOOB system is radically different from that of a conventional system. The gun is latched in out-of-battery position prior to firing. As soon as firing is occurred, the gun is unlatched and accelerated. The forward momentum is imparted to the recoiling parts. This momentum is opposed by the ballistic force imparted by firing and the recoil force and recoil length will be reduced. In this study, the ADAMS simulation has been performed with the scale model of the FIB(Fire-In-Battery) system and the FOOB system. The ADAMS simulation results show that the FOOB system could reduce the operating time and recoil length and the recoil force.

전류적산법과 OCV 방법을 결합한 Li-Ion 배터리의 충전상태 추정 (State of Charge Estimation of Li-Ion Battery Based on CIM and OCV Using Extended Kalman Filter)

  • 박정호;차왕철;조욱래;김재철
    • 조명전기설비학회논문지
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    • 제28권11호
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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.

Analysis of Real-Time Estimation Method Based on Hidden Markov Models for Battery System States of Health

  • Piao, Changhao;Li, Zuncheng;Lu, Sheng;Jin, Zhekui;Cho, Chongdu
    • Journal of Power Electronics
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    • 제16권1호
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    • pp.217-226
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    • 2016
  • A new method is proposed based on a hidden Markov model (HMM) to estimate and analyze battery states of health. Battery system health states are defined according to the relationship between internal resistance and lifetime of cells. The source data (terminal voltages and currents) can be obtained from vehicular battery models. A characteristic value extraction method is proposed for HMM. A recognition framework and testing datasets are built to test the estimation rates of different states. Test results show that the estimation rates achieved based on this method are above 90% under single conditions. The method achieves the same results under hybrid conditions. We can also use the HMMs that correspond to hybrid conditions to estimate the states under a single condition. Therefore, this method can achieve the purpose of the study in estimating battery life states. Only voltage and current are used in this method, thereby establishing its simplicity compared with other methods. The batteries can also be tested online, and the method can be used for online prediction.

LRCN을 이용한 리튬 이온 배터리의 건강 상태 추정 (State of Health Estimation for Lithium-Ion Batteries Using Long-term Recurrent Convolutional Network)

  • 홍선리;강모세;정학근;백종복;김종훈
    • 전력전자학회논문지
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    • 제26권3호
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    • pp.183-191
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    • 2021
  • A battery management system (BMS) provides some functions for ensuring safety and reliability that includes algorithms estimating battery states. Given the changes caused by various operating conditions, the state-of-health (SOH), which represents a figure of merit of the battery's ability to store and deliver energy, becomes challenging to estimate. Machine learning methods can be applied to perform accurate SOH estimation. In this study, we propose a Long-Term Recurrent Convolutional Network (LRCN) that combines the Convolutional Neural Network (CNN) and Long Short-term Memory (LSTM) to extract aging characteristics and learn temporal mechanisms. The dataset collected by the battery aging experiments of NASA PCoE is used to train models. The input dataset used part of the charging profile. The accuracy of the proposed model is compared with the CNN and LSTM models using the k-fold cross-validation technique. The proposed model achieves a low RMSE of 2.21%, which shows higher accuracy than others in SOH estimation.

비상용 디젤동기발전시스템기반 독립운전 하이브리드에너지시스템 모델 설정 및 시뮬레이션 분석에 관한 연구 (Simulation Analysis and Development of Matlab/Simulink Model for Stand-alone Operation of Emergency Diesel Synchronous Generator-based Hybrid Energy System)

  • 홍원표
    • 조명전기설비학회논문지
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    • 제29권1호
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    • pp.70-79
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    • 2015
  • In this paper, enhanced stand-alone operation and development of Matlab/Simulink model of emergency diesel based hybrid energy system is presented. Simulations based on the remote community or islands were performed for PV-diesel-battery hybrid system. Modeling of PV-diesel-battery integrated system is done to perform under the solar radiation and load conditions on Matlab/Simulink platform. The models of diesel generator unit, battery energy storage system, PV and frequency-power control are developed and simulation studies have been carried out under various conditions using Matlab/Simulink and SimPowerSystem. It is demonstrated that the proposed system can provide reliable and good quality power to the customers in diesel synchronous generator-based hybrid energy systems.

자동차 전력 시스템의 전기적 등가회로 모델 개발에 관한 연구 (A study on a Development of Electric Equivalent Circuit Models of Vehicle Electric Power System)

  • 최대호;이재인;선우명호
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2000년도 추계학술대회 논문집 학회본부 D
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    • pp.669-671
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    • 2000
  • Vehicle electric power system, which consists of two major components; an alternator and a battery, supplies electric power to vehicle electric and electronic systems. In recent years, bigger power supply is required for the rapid demand of the number of vehicle electric and electronic systems. It is important that vehicle power system should be analyzed exactly. For the simulation of vehicle electric power system, appropriate component model of vehicle electric power system should be chosen. In this paper, a simplified and accurate battery model is developed to obtain the battery parameters, and a Variable Alternator Terminal Voltage Model is introduced to described an alternator. The case study shows that simulation results using the suggested models are well agreed with the experiments.

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