An electrochemical lithium-ion battery model is well known to be suited for effectively describing the microstructure evolution in charging and discharging processes of a with practically realizable complexity. This paper presents neural network-based parameter estimation scheme identify parameters an near-optimal real-time manner order consistently observe states batteries. The network first trained learn dynamics model, then, it applied estimate available finite-time measurements voltage,...

State of health (SOH) is a key issue for saving cost and guaranteeing safety while using rechargeable battery. Therefore, numerous studies on SOH estimation have been conducted intensively. However, most the need experimental data whole lifetime battery, adopt standard charge/discharge pattern that does not reflect real world driving pattern. For these reasons, it suitable to apply results into battery management system (BMS) an EV. In this paper, practical classification scheme based...

In order to accurately estimate the state of health (SOH) a Li-ion battery, reference performance test (RPT) needs be conducted between several charging/discharging cycles for obtaining accurate data concerning battery capacity and degradation. However, it is not practical perform RPTs frequently because they are time-consuming expensive; moreover, undergoes unnecessary degradation during operations. Therefore, should performed as infrequently possible. this paper, neural network-based SOH...

As lithium-ion batteries age, the lithium inventory and active materials are gradually lost, limiting their lifespan. The stoichiometric range, which refers to operable range of amount in electrode, has been considered a representative comprehensive indicator for predicting aging process. For efficient safe use batteries, cathode anode ranges should be identified as accurately possible. Accordingly, because identification accuracy depends on input signals system operating conditions,...

Battery is one of the most important energy supplement source for our society. Especially, lithium-ion battery has been actively used in various fields such as mobile devices, electric vehicles, or storage system. However, a few life degradation and safety problems, example, ignition explosion. Therefore, it required to observe inner states consistently predict prevent problems above. Electrochemical model represents these thoroughly because derived according laws physics. In electrochemical...

Electrochemical models of lithium-ion batteries are derived according to the laws physics; therefore, parameters represent specific physical quantities such as lithium diffusivities, particle volume fractions, and ion intercalation rates. It is important estimate these identify internal states a battery for efficient safe management. Until now, parameter estimation algorithms electrochemical have been developed without considering unequal identifiability among target parameters. Thus, it...

In this study, we propose a new capacity estimation scheme for various aging states of lithium-ion batteries based on an inverted bottleneck network (IBN) that learns electrochemical knowledge. Most existing schemes employ simple models have limitations in accuracy because they cannot reflect the complex inside batteries. An model is sufficiently sophisticated to estimate accurately; however, it computationally expensive. Therefore, transfer knowledge deals with physicochemical behavior...

A novel state of charge (SOC) estimation method for lithium-ion batteries is proposed. The made by combining a model-based and data-driven method. Model-based methods can show acceptable error without large data. However there limit in reducing the because inaccuracy model still exists. solve this problem learning proposed paper optimizes parameters extended Kalman filter (EKF) with reinforcement (RL) when estimating SOC using EKF. This utilizes both advantage Even if RL slightly trained, an...

Time lag and quantization in temperature sensors enterprise servers lead to stability concerns on existing variable fan speed control schemes. Stability challenges become further aggravated when multiple local controllers are running together with the scheme. In this paper, we present a global scheme which tackles of while reducing performance degradation caused by We first stable based ProportionalIntegral-Derivative (PID) controller adaptively adjusting PID parameters according operating...

Abstract Screen climbing games have made a new category of gaming experience between human climber and virtual game projected onto an artificial wall. Here, motion recognition is required to interact with the game. In existing games, based on simple calculation using depth difference climber’s body area However, in this way devoid anatomical information; thus system cannot recognize which part, or parts, contact paper, we present method information obtained by parsing into its constituent...

This paper proposes a method of regulating frequency and bus voltage simultaneously with STATCOM battery in an high transmission system. Comparative analysis stand-alone is carried out to compare the steady state characteristics them. Dynamic model controller are designed accomplish two control objectives, regulation. The results verified MATLAB on modified IEEE 14 test

최근 침수지역에 대한 침수흔적조사, 침수예상분석 및 대피계획 수립 등에 관한 종합적인 검토 분석 결과를 지도로 표현하는 재해지도는 비구조적 홍수방어 대책의 주요한 수단이 되고 있다. 침수흔적도는 재해지도의 작성을 위한 기초자료로 활용되고, 침수피해가 발생한 지역의 침수흔적을 초동조사 정밀조사를 실시하여 작성하도록 규정하고 태풍, 호우, 해일 등으로 인한 지역에 대하여 측량하고 침수구역에 침수위, 침수심, 침수시간 등을 조사한 내용을 표시한 지도이다. 이처럼 국가 방재에 기초적인 자료임에도 불구하고 예산 부족 침수흔적 작성 관리가 미흡하여 침수흔적도 제작이 지연되는 문제가 발생하고 그러므로 작성시 제작시간의 단축 절감을 연구가 필요한 실정이다. 현재 우리나라에서는 무인항공기를 활용하는 많이 진행되고 본 연구에서는 무인항공기의 적용성을 검토하였다. 무인항공기에서 촬영한 영상자료를 가상측량 프로그램(VST, Virtual Survey Tool)을 활용하여 경기도 안성시 가현동과...

Time lag and quantization in temperature sensors enterprise servers lead to stability concerns on existing variable fan speed control schemes. Stability challenges become further aggravated when multiple local controllers are running together with the scheme. In this paper, we present a global scheme which tackles of while reducing performance degradation caused by We first stable based ProportionalIntegral-Derivative (PID) controller adaptively adjusting PID parameters according operating...

The polyimide composite membranes were prepared with solutions including graphenes by using the phase inversion method. morphologies of these significantly changed according to graphene loadings in and solvent systems solutions. finger-like macro-voids formed hollow fiber which NMP system a small amount ethanol. As increasing content viscous alcohols such as glycerol or 1,3-propanediol solution, however, sponge-like types. In case flat membranes, increase composites causes that their change...

태풍, 호우, 해일 등의 재해발생 시, 침수피해 기록 및 재난정보와 대피 경로를 제공하기 위해 지방자체단체 등에서는 재해지도를 작성하고 있다. 재해지도는 침수흔적도, 침수예상도, 재해정보지도로 분류되며 침수심, 침수범위, 침수시간, 대피소 정보, 대피경로 정보를 제공하고 그러나 재해지도의 도면정보는 후의 단순히 기록하고 보여줌으로써, 그 효용가치가 기대에 미치지 못하고 또한 시군구 단위로 이루어지는 재난정보도 작은 단위의 국지성 침수 피해를 대비하는데 한계가 그러므로 보다 다양하고 상세한 정보제공을 위해서는 부가적인 데이터 수집이 필요하다. 본 연구에서는 재해지도 작성 현황과 활용 사례의 분석을 통해 문제점을 제시하고 재해지도와 연계하여 활용할 수 있는 빅데이터 구축체계를 분석하였으며, 분석된 결과를 활용하여 개선된 작성하는 방안을 제시하였다. 침수위험에 대한 다양한 분석정보를 공간정보 기반에서 효율적으로 표현할 있을 것으로 기대된다. A hazard map was...

In order to accurately estimate the SOC and SOH of a lithium-ion battery used in an electric vehicle (EV), we propose Adaptive Diagonal Forgetting Factor Recursive Least Square (ADFF-RLS) for accurate parameter estimation. ADFFRLS includes two new proposals existing DFF-RLS; The first is excitation tag that changes behavior DFFRLS EKF according dynamics input data. second auto-tuning automatically finds optimal value RLS forgetting factor based on condition number (CN). Based this, proposed...