• Title/Summary/Keyword: State of charge estimation

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Study on analysis of SOH estimation tendency according to C-rate of Li-ion battery using DEKF (이중 확장 칼만 필터를 활용한 리튬이온 배터리의 C-rate별 노화에 따른 SOH 추정 경향성 분석 연구)

  • Kim, Gun-Woo;Park, Jin-Hyung;Kim, Min-O;Kim, Jong-Hoon
    • Proceedings of the KIPE Conference
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    • 2019.11a
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    • pp.194-195
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    • 2019
  • 배터리는 사용 기간과 회수가 증가함에 따라 수명이 점차 감소한다. SOH(State-Of-Health)는 배터리의 초기 상태와 현재 상태를 비교하여 배터리의 수명 상태를 나타내는 지표이며, 이는 배터리를 사용함에 있어서배터리의 현재 충전상태를 나타내는 SOC(State-Of-Charge)와 함께 정확한 추정을 필요로 한다. 본 논문에서는 리튬이온 배터리를 C-rate에 따라 노화시키며 각 C-rate별 SOH 추정 경향성을 분석하였다. 배터리의 SOC와 SOH는 확장 칼만 필터를 병렬적으로 사용하는 이중 확장 칼만 필터를 활용하여 추정한다. 배터리의 노화실험은 완전충전과 완전충전을 반복하는 전류 프로파일을 인가하였으며, 실험은 상온(25℃)에서 실행하였다.

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Comparative Analysis of SOC Estimation using EECM and NST in Rechargeable LiCoO2/LiFePO4/LiNiMnCoO2 Cells

  • Lee, Hyun-jun;Park, Joung-hu;Kim, Jonghoon
    • Journal of Electrical Engineering and Technology
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    • v.11 no.6
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    • pp.1664-1673
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    • 2016
  • Lithium rechargeable cells are used in many industrial applications, because they have high energy density and high power density. For an effective use of these lithium cells, it is essential to build a reliable battery management system (BMS). Therefore, the state of charge (SOC) estimation is one of the most important techniques used in the BMS. An appropriate modeling of the battery characteristics and an accurate algorithm to correct the modeling errors in accordance with the simplified model are required for practical SOC estimation. In order to implement these issues, this approach presents the comparative analysis of the SOC estimation performance using equivalent electrical circuit modeling (EECM) and noise suppression technique (NST) in three representative $LiCoO_2/LiFePO_4/LiNiMnCoO_2$ cells extensively applied in electric vehicles (EVs), hybrid electric vehicles (HEVs) and energy storage system (ESS) applications. Depending on the difference between some EECMs according to the number of RC-ladders and NST, the SOC estimation performances based on the extended Kalman filter (EKF) algorithm are compared. Additionally, in order to increase the accuracy of the EECM of the $LiFePO_4$ cell, a minor loop trajectory for proper OCV parameterization is applied to the SOC estimation for the comparison of the performances among the compared to SOC estimation performance.

Development of Battery Monitoring System Using the Extended Kalman Filter (확장 칼만 필터를 이용한 배터리 모니터링 시스템 개발)

  • Jo, Sung-Woo;Jung, Sun-Kyu;Kim, Hyun-Tak
    • Journal of the Korea Convergence Society
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    • v.11 no.6
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    • pp.7-14
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    • 2020
  • A Battery Monitoring System capable of State-of-Charge(SOC) estimation using the Extended Kalman Filter(EKF) is described in this paper. In order to accurately estimate the SOC of the battery, the battery cells were modeled as the Thevenin equivalent circuit model. The Thevenin model's parameters were measured in experiments. For the Battery Monitoring System, we designed a battery monitoring device that can calculate the SOC estimation using the EKF and a monitoring server that controls multiple battery monitoring devices. We also develop a web-based dashboard for controlling and monitoring batteries. Especially the computation of the monitoring server could be reduced by calculating the battery SOC estimation at each Battery Monitoring Device.

Increased Activity of Large Conductance $Ca^{2+}-Activated$ $K^+$ Channels in Negatively-Charged Lipid Membranes

  • Park, Jin-Bong;Ryu, Pan-Dong
    • The Korean Journal of Physiology and Pharmacology
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    • v.2 no.4
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    • pp.529-539
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    • 1998
  • The effects of membrane surface charge originated from lipid head groups on ion channels were tested by analyzing the activity of single large conductance $Ca^{2+}-activated\;K^+$ (maxi K) channel from rat skeletal muscle. The conductances and open-state probability ($P_o$) of single maxi K channels were compared in three types of planar lipid bilayers formed from a neutral phosphatidylethanolamine (PE) or two negatively-charged phospholipids, phosphatidylserine (PS) and phosphatidylinositol (PI). Under symmetrical KCl concentrations $(3{\sim}1,000\;mM)$, single channel conductances of maxi K channels in charged membranes were $1.1{\sim}1.7$ times larger than those in PE membranes, and the differences were more pronounced at the lower ionic strength. The average slope conductances at 100 mM KCl were $251{\pm}9.9$, $360{\pm}8.7$ and $356{\pm}12.4$ $(mean{\pm}SEM)$ pS in PE, PS and PI membranes respectively. The potentials at which $P_o$ was 1/2, appeared to have shifted left by 40 mV along voltage axis in the membranes formed with PS or PI. Such shift was consistently seen at pCa 5, 4.5, 4 and 3.5. Estimation of the effect of surface charge from these data indicated that maxi K channels sensed the surface potentials at a distance of $8{\sim}9\;{\AA}$ from the membrane surface. In addition, similar insulation distance ($7{\sim}9\;{\AA}$) of channel mouth from the bilayer surface charge was predicted by a 3-barrier-2-site model of energy profile for the permeation of $K^+$ ions. In conclusion, despite the differences in structure and fluidity of phospholipids in bilayers, the activities of maxi K channels in two charged membranes composed of PS or PI were strikingly similar and larger than those in bilayers of PE. These results suggest that the enhancement of conductance and $P_o$ of maxi channels is mostly due to negative charges in the phospholipid head groups.

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Research on the Re-Use of Electric Vehicle Battery for Energy Storage Systems (전기자동차 배터리의 에너지 저장장치로의 재사용에 관한 연구)

  • Vuand, Hai-Nam;Choi, Woojin
    • Proceedings of the KIPE Conference
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    • 2016.07a
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    • pp.345-346
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    • 2016
  • The grid-connected energy storage systems, which could increase the reliability, efficiency, and cleanliness of the grid is presently restricted by the high cost of batteries. This problems could be solved by batteries retired from automotive services. These batteries can provide a low-cost system for energy storage and other applications such as residential applications and renewable energy integration. This paper gives an overview of technical requirements for the re-use of the electric vehicle batteries in energy storage systems.Firstly, the motivation of research is introduced. Secondly, the technologies needed for the re-use of the battery are introduced such asidentification of the battery characteristics, grading of the aged batteries, identification of the state-of-charge and state-of-health of the battery and suitable power electronic converter topologies. In addition the control strategy to maximize the battery lifespan and bypass the faulty batteries is presented and one-stop solution to implement the above mentioned technologies are also given.

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Study of Discharge in Point-Plane Air Interval Using Fuzzy Logic

  • Bourek, Yacine;Mokhnache, Leila;Nait Said, Nacereddine;Kattan, Rafik
    • Journal of Electrical Engineering and Technology
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    • v.4 no.3
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    • pp.410-417
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    • 2009
  • The objective of this paper is to study the discharge phenomenon for a point-plane air interval using an original fuzzy logic system. Firstly, a physical model based on streamer theory with consideration of the space charge fields due to electrons and positive ions is proposed. To test this model we have calculated the breakdown threshold voltage for a point-plane air interval. The same model is used to determine the discharge steps for different configurations as an inference data base. Secondly, using results obtained by the numerical simulation of the previous model, we have introduced the fuzzy logic technique to predict the breakdown threshold voltage of the same configurations used in the numerical model and make estimation on the insulating state of the air interval. From the comparison of obtained results, we can conclude that they are in accordance with the experimental ones obtained for breakdown discharges in different point-plane air gaps collected from the literature. The proposed study using fuzzy logic technique shows a good performance in the analysis of different discharge steps of the air interval.

Systematic Approach of Internal Parameters for Equivalent Electrical-Circuit Modeling(EECM) of a Li4Ti5O12(LTO) cell (Li4Ti5O12(LTO) 배터리 등가회로 모델링을 위한 내부 파라미터 체계적 해석)

  • Lee, Pyeong-Yeon;Yoon, Chang-O;Park, Jin-Hyeong;Kim, Jonghoon
    • The Transactions of the Korean Institute of Power Electronics
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    • v.23 no.3
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    • pp.174-181
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    • 2018
  • This study introduces a systematic approach to selecting the internal parameters applied to the equivalent electrical-circuit model (EECM) of a lithium titanium oxide ($Li_4Ti_5O_{12}$; LTO) rechargeable cell. Based on the dynamic characteristic of the cell, a simplified EECM consisting of an open-circuit voltage (OCV), an ohmic resistance, and an RC ladder is fabricated. To select the internal parameters of a simplified EECM, experiments on discharge capacity, OCV, and discharge/charge resistances are performed using hybrid pulse power characterization and direct current internal resistance (DCIR) measurements over the full state-of-charge (SOC) range. The experimental results of the LTO rechargeable cell highlight the importance of correct selection of internal parameters that can reduce EECM errors. This study clearly provides experimental procedures, internal parameters results, and EECM guidelines for adaptive control-based SOC estimation for LTO rechargeable cells.

A Study of Battery Charging Time for Efficient Operation of Fuel Cell Hybrid Vehicle (연료전지 하이브리드 차량의 효율적인 작동을 위한 배터리 충전 시기에 대한 연구)

  • Jin, Wei;Kwon, Oh-Jung;Jo, In-Su;Hyun, Deok-Su;Cheon, Seung-Ho;Oh, Byeong-Soo
    • Transactions of the Korean hydrogen and new energy society
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    • v.20 no.1
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    • pp.38-44
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    • 2009
  • Recently, the research focused on fuel cell hybrid vehicles (FCHVs) is becoming an attractive solution due to environmental pollution generated by fossil fuel vehicles. The proper energy control strategy will result in extending the fuel cell lifetime, increasing of energy efficiency and an improvement of vehicle performance. Battery state of charge (SoC) is an important quantity and the estimation of the SoC is also the basis of the energy control strategy for hybrid electric vehicles. Estimating the battery's SoC is complicated by the fact that the SoC depends on many factors such as temperature, battery capacitance and internal resistance. In this paper, battery charging time estimated by SoC is studied by using the speed response and current response. Hybrid system is consist of a fuel cell unit and a battery in series connection. For experiment, speed response of vehicle and current response of battery were determined under different state of charge. As the results, the optimal battery charging time can be estimated. Current response time was faster than RPM response time at low speed and vice versa at high speed.

A Study on the Estimation of SOC(State of Charge) for Pb Battery Using Initial Charging Voltage (납축전지의 충전 초기 전압을 이용한 충전상태 평가에 관한 연구)

  • Park, Byeong-Ju;Moon, Chae-Joo;Chang, Young-Hak;Kim, Tae-Gon;Lee, Jae-Hyoung
    • Proceedings of the KIPE Conference
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    • 2011.11a
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    • pp.311-312
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    • 2011
  • 본 논문에서는 납축전지의 충전 초기 전압변화를 이용한 축전지의 상태와 충전상태를 비교 평가하는 방법을 연구하였다. 12V/1.2Ah의 납축전지를 대상으로 NI사의 DAQ 장치로 충방전 실험 장치를 구축하고 LabVIEW로 프로그램을 작성하여 축전지의 전압과 전류를 측정하였다. 축전지가 노화된 경우 충전 초기 전압이 급격히 상승하였고, 충전 전류는 정상적인 축전지에 비해 상대적으로 적게 나타났다. 실험 결과를 바탕으로 축전지의 충전상태를 평가하였다.

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Development of Low Cost, High-Performance Miniaturized Lithium-ion Battery Tester Using Raspberry Pi Zero

  • La, Phuong-Ha;Im, Hwi-Yeol;Choi, Sung-Jin
    • Proceedings of the KIPE Conference
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    • 2017.11a
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    • pp.47-48
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    • 2017
  • This paper presents a low-cost portable lithium battery parameter measuring and estimating the solution. In this method, lithium battery characteristics are monitored during discharging and charging cycles. The battery profile is analyzed, and its key parameters are estimated by GNU Octave running on Raspberry Pi Zero, a mini computer. The proposed method can measure and estimate the battery parameters for SOC and DOD estimation with reasonable accuracy as well as portability features.

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