• 제목/요약/키워드: battery modeling

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Modeling and an Efficient Com bined Control Strategy for Fuel Cell Electric Vehicles

  • Lee, Nam-Su;Shim, Seong-Yong;Ahn, Hyun-Sik;Choi, Joo-Yeop;Choy, Ick;Kim, Do-Hyun
    • 제어로봇시스템학회:학술대회논문집
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    • 2004.08a
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    • pp.1629-1633
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    • 2004
  • In this paper, we first implement the simulation environment to investigate the efficient control method of a Fuel Cell Electric Vehicle (FCEV) system with battery. The subsystems of a FCEV including the fuel cell system, the electric motor (including the power electronics) and the tansmission (reduction gear), and the auxiliary power source (battery) are mathematically fomulated and coded using the Matlab/Simulink software. Some examples are given to show the capabilities of the modeled system and d a basic control strategy is examined for the economic energy distribution between the fuel cell and the auxiliary power source. It is illustrated by simulations that the actual vehicle velocity follows the given desired velocity pattern while both SOC control and power distribution control are being performed.

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

  • Hong, Won-Pyo
    • Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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    • v.29 no.1
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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.

Modeling and Operation Analysis of $NiH_2$ Battery using Multi-layer Neural Network (다층신경회로망을 이용한 $NiH_2$ 전지 모델링 및 동작상태분석)

  • 최재동;황영성;이학주;성세진
    • The Transactions of the Korean Institute of Power Electronics
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    • v.4 no.2
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    • pp.192-200
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    • 1999
  • 위성의 전지는 위성의 수명과 직접적인 영향을 갖고 있으며 이것의 정상동작여부에 따라 위성의 안정적인 임무수행여부가 결정된다. 상대적으로 일반화된 셀 모델링의 최근 개발은 NiH2셀의 동특성을 시뮬레이션 하기 위한 기본적인 원리에 기반을 둔 접근방식이다. 그러나 이러한 일반적인 방정식을 통해 비선형성과 전력상태를 포함하는 전지 특성을 예측하는 것은 사실상 불가능하다. 본 연구에서는 다층신경회로망을 이용하여 비선형 특성를 갖는 니켈-하이드로진 전지 특성을 모델링 하였으며, 모델링된 상수값은 위성의 식시간 동안의 전지 전력상태 분석을 위해 사용되었다. 모델링 결과의 정확성을 확인하기 위해 니켈-하이드로진 전지시험결과 분석자료와 비교 검토 되었다. 전지 동작모드는 정상동작모드와 실패모드로 나누어 분석되었다. 정상동작모드는 위성의 식시간 동안 아크젯 동작 여부에 의해 각각 분석되었으며, 또한 태양전지와 배터리 셀 일부의 고장으로 인한 실패모드에서의 전지전력상태가 분석되었다.

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Control Strategy and Characteristic Analysis of PEMFC/Photovoltaics Hybrid Vehicle (연료전지-태양전지 하이브리드 자동차에 대한 제어전략 및 특성평가)

  • Ahn, Hyo-Jung;Ji, Hyun-Jin;Bae, Joong-Myeon;Cha, Suk-Won
    • Transactions of the Korean Society of Mechanical Engineers B
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    • v.31 no.10
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    • pp.840-847
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    • 2007
  • This Paper focuses on modeling and simulation to analyze the characteristic of hybrid vehicle. The system includes a proton exchange membrane fuel cell(PEMFC), photovoltaic generator(PV), lead-acid battery, motor, vehicle and controller. Main electricity is produced by the PEMFC and battery to meet the requirements of a user load. When vehicle is parked in a sunny place, extra power is generated by the photovotaics and is charged in a battery for next drive. Further we evaluate usefulness of this hybrid vehicle by using ADVISOR - the advanced vehicle simulator written in the Matlab/Simulink environment. According to simulation results, the extra power obtained by photovoltaics which have been explored in nature conditions can help to reduce the electrical load of PEMFC and increase the efficiency (over 21 %).

Implementation of Battery 'State of Charge' Estimation algorithm (배터리 'State of Charge' 예측 알고리즘 구현)

  • Kim, Yong-Ho;Kim, Dae-Hwan
    • Journal of The Institute of Information and Telecommunication Facilities Engineering
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    • v.10 no.1
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    • pp.27-32
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    • 2011
  • These days more electric devices are implemented in car, and more accurate estimation of SoC is required. OCV with current integration and Internal Resistance is essential method of Battery SoC Estimation. In this paper we propose OCV with current integration method and compare with Internal Resistance method. In OCV with current integration method estimation error was less than average 2%, but requires more than 5 minutes to stabilize OCV. If Stop and Running conditions are change frequently, estimation error will increase. In Internal resistance Modeling method, in high SoC state, estimation error was more than 15%, and in low SoC state, estimation error was less than 8%.

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Modeling and Simulation of Electrical Power System of Electric Vehicle (전기자동차 전력 시스템의 모델링 및 시뮬레이션)

  • Lee, Jea-Moon;Cho, Bo-Hyung
    • Proceedings of the KIEE Conference
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    • 1996.11a
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    • pp.355-358
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    • 1996
  • Electrical Power System (EPS) of Electric Vehicle which consists of batteries, motor and driving subsystem, has been modeled. A battery model is modeled with an electrical circuit representing a characteristics of real battery. Driving subsystem is modeled as three different level namely exact, average and functional models. Load profile includes road information, speed profile and EV mechanical parameters, which are incorporated into a reference torque in the driving subsystem model. A system model is integrated to simulate the performance of electric vehicle such as energy balance, battery status, and electrical stress of each subsystem.

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Modeling Power Battery Supply Chain Based on System Dynamics

  • Chen, Jinhui;Jin, Chanyong
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2022.05a
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    • pp.683-685
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    • 2022
  • By comparing the status quo of recycling of new energy vehicles and waste power batteries at home and abroad, analyze the central relationship between recycling of waste power batteries and the interaction between various factors in China, consider the characteristics of blockchain technology, organically integrate into the reverse recycling network, and quantify the relevant factors. Make use of the constructed model to simulate, forecast, and compare and analyze whether to adopt blockchain technology and, on this basis, analyze the intrinsic relationship between various variables. To explore the different effects brought by changing different countermeasures according to different subjects, and expand it to the factor analysis in the whole reverse recycling supply chain to help the government and operators and enterprises to make more objective and scientific decisions, to provide a particular reference for promoting the recycling of waste power batteries and the development of power battery manufacturing industry in China.

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Modeling and State Observer Design of HEV Li-ion Battery (하이브리드 전기자동차용 리튬이온 배터리 모델링 및 상태 관측기 설계)

  • Kim, Ho-Gi;Heo, Sang-Jin;Kang, Gu-Bae
    • The Transactions of the Korean Institute of Power Electronics
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    • v.13 no.5
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    • pp.360-368
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    • 2008
  • A lumped parameter model of Li-ion battery in hybrid electric vehicle(HEV) is constructed and system parameters are identified by using recursive least square estimation for different C-rates, SOCs and temperatures. The system characteristics of pole and zero in the frequency domain are analyzed with the parameters obtained from different conditions. The parameterized model of a Li-ion battery indicates highly dependent of temperatures. To estimate SOC and polarization voltage, a Luenberger state observer is utilized. The P- or PI-gains of observer based on a suitable natural frequency and damping ratio is adopted for the state estimation. Satisfactory estimation accuracy of output voltage and SOC is especially obtained by a PI-gain. The feasibility of the proposed estimation method is verified through experiment under the conditions of different C-rates, SOCs and temperatures.

A Study on Electrical Modeling for Charge/Discharge Analysis of Li-Polymer Battery (리튬폴리머전지의 충/방전 특성해석을 위한 진기적모델링에 관한 연구)

  • 최해룡;반한식;목형수;신우석;고장면
    • The Transactions of the Korean Institute of Power Electronics
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    • v.5 no.5
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    • pp.435-442
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    • 2000
  • Started upon Its discovery by Wright et al in 1773, studies on the solid polymer electrolyte are being carried out vigorously. So, models of Li-polymer battery have been developed through R-L-C components combination and PSpice functional block in this parer. The impedance characteristics of Li-polymer battery with R-L-C components are presented. Simulation results using PSpice functional model are compared with measured charge/discharge characteristics. Also, as to the number of cycle(charge/discharge), coulomb efficiency of Li-polymer is evaluated through experimental results.

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Optimization of Battery Power Distribution to Improve Fuel Consumption of Fuel Cell Hybrid Vehicle (연료전지 하이브리드 차량의 연비향상을 위한 배터리 동력분배 최적화)

  • Lee, Dong Sup
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.37 no.3
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    • pp.397-403
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    • 2013
  • The demand for eco-friendly and higher fuel economy vehicles has helped develop eco-friendly and fuel-efficient vehicles such as hybrid vehicles. In a hybrid vehicle, the change in the battery charge after driving should be added to the fuel consumption as the equivalent fuel usage based on its own characteristics. Thus, the fuel efficiency of a hybrid vehicle cannot be improved simply by increasing the battery capacity. In this study, I attempt to improve the total fuel economy of a hybrid vehicle, including the equivalent fuel consumption, by modeling a fuel cell hybrid vehicle using Matlab Simulink, analyzing the usage zone of the fuel cell with the existing control strategy, and optimizing the power distribution of the battery and fuel cell in the main usage zone of the fuel cell.