• 자원환경지질
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• 제57권1호
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• pp.83-91
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• 2024

IEA(2022)는 세계 이차전지 배터리 수요는 2040년 1.3TWh로 그 중, 전기자동차 배터리는 약 80%를 차지하고, 사용후 배터리는 30년 이후 본격적으로 배출될 것으로 전망되고 있다. 전기차 사용후 배터리는 재사용 및 재활용을 통해 새로운 가치를 창출할 수 있으며, 배터리 공급망에서 가장 취약한 부분인 원료 확보 불안정성을 해소할 수 있다. 본 연구에서는 국내 전기차 사용후 배터리 발생량과 이의 재사용 및 재활용 잠재성을 분석하였다. 그 결과, 전기차 사용후 배터리 연간 발생량은 '31년부터 10만개에서 '45년 81만개로 확대될 것으로 추정되었다. 또한 재활용으로 회수한 자원으로 '45년에는 100만대의 배터리 제조할 수 있으며, 재사용은 36Gwh급 배터리 생산에 맞먹는 시장을 기대할 수 있는 것으로 나타났다. 한편, 현재 재활용 업체가 공개한 계획 기준에서, 국내 전기차 사용후 배터리는 국내 재활용 처리용량(전처리)의 11% 담당 가능('30년)할 것으로 원료확보의 차원에서 폐배터리 수출입 관리가 중요할 것이다.

• International Journal of Internet, Broadcasting and Communication
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• 제16권3호
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• pp.236-241
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• 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.

• 한국ITS학회 논문지
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• 제12권4호
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• pp.95-104
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• 2013

지구 온난화, 화석연료의 고갈 등이 중요한 문제로 대두됨에 따라 전기자동차가 관심을 얻고 있다. 그러나 배터리 충전 시간, 높은 배터리 제조비용 등은 전기자동차가 널리 보급되는데 장애요인이 되고 있다. 이런 기술적 문제점을 해결하기 위한 대안으로 배터리를 교체하여 운행하는 운영 방식이 개발되었다. 배터리 교체형 시스템에서는 배터리의 공급망이 복잡하기 때문에 배터리의 신뢰성 확보 및 관리의 효율화를 위해서는 배터리 이력추적 시스템의 구축도 함께 진행되어야 한다. 본 연구에서는 전기자동차 배터리 이력추적 시스템에서 배터리 식별을 위해 사용될 RFID 코드를 설계하였다. 설계된 코드는 EPCglobal의 GRAI-96 표준을 기반으로 하였으며 배터리의 외형적 특성, 화학적 특성, 제조사, 제조일 등을 반영하였다. 설계된 코드는 RFID 코드뿐만 아니라 각 배터리의 개체식별번호로도 적용이 가능하다.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2011년도 제42회 하계학술대회
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• pp.1141-1142
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• 2011

An electrical vehicle (EV) is a huge issue in the automotive industry. The EV have many electrical units: electric motors, batteries, converters, ets. The DC power distribution system (PDS) is essential for the EV. The DC PDS offers many advantages. However, multiple loads in the DC PDS may affect the severe instability on the DC bus voltage. Therefore, a voltage bus conditioner (VBC) may use the DC PDS. The VBC is used to mitigate the voltage transient on the bus. In this paper, sliding mode controller (SMC) is designed for the VBC of DC PDS in the EV. The simulation results by PISM simulation package are presented for validating the proposed control technique.

• 한국수소및신에너지학회논문집
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• 제32권4호
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• pp.263-270
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• 2021

In this study, we proposed the necessity of reusing the battery industry after domestic use, preparing legal arrangements by step for recycling, clarifying responsible materials by processing stage, and establishing infrastructure and screening diagnostic rating system. The purpose of this study is to establish a life cycle integrated management system for electric vehicle batteries and to find suitable ways for improving the lifespan of electric vehicle batteries, reuse, and recycling in stages to avoid other environmental pollution problems due to batteries after using electric vehicles used to reduce environmental pollution due to climate change.

• 한국정보통신학회논문지
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• 제3권2호
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• pp.465-470
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• 1999

This paper presents a design method of driving system for EV(Electric Vehicle). EV driving system consist of batteries, battery interface system and inverter. The power control circuit of the driving system is simple, since only one PWM(Pulse Width Modulation) inverter is used. These test spectrums and waveforms can be used to determine the filter component ratings as well as to compute the harmonics injected into the source. The hybrid control strategy which can reduced harmonic components. The analysis results indicate that the required capacity of the condenser can be reduced with LC filter. In this paper, the design and implementation of the proposed systems are described and some experimental results are given to show the performance of this driving system. The control strategy of the system to available inverter's power and motor's power and torque is discussed.

• Journal of Electrical Engineering and Technology
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• 제9권1호
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• pp.143-153
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• 2014

This paper presents a novel application of LCC resonant converter for 60kW EV fast charger and describes development of the high efficiency 60kW EV fast charger. The proposed converter has the advantage of improving the system efficiency especially at the rated load condition because it can reduce the conduction loss by improving the resonance current shape as well as the switching loss by increasing lossless snubber capacitance. Additionally, the simple gate driver circuit suitable for proposed topology is designed. Distinctive features of the proposed converter were analyzed depending on the operation modes and detail design procedure of the 10kW EV fast charger converter module using proposed converter topology were described. The proposed converter and the gate driver were identified through PSpice simulation. The 60kW EV fast charger which generates output voltage ranges from 50V to 500V and maximum 150A of output currents using six parallel operated 10kW converter modules were designed and implemented. Using 60kW fast charger, the charging experiments for three types of high-capacity batteries were performed which have a different charging voltage and current. From the simulation and experimental results, it is verified that the proposed converter topology can be effectively used as main converter topology for EV fast charger.

• 전력전자학회:학술대회논문집
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• 전력전자학회 2011년도 전력전자학술대회
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• pp.218-219
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• 2011

In this paper Li-polyer batteries, which are in use of EV recently, are used. The Li-polymer batteries have high density of energy and invulnerability of the fluids and explosion. It is confirmed that the DC-bias pulse mode/cc mode characteristics on charge by designing Fast-charging system designed in three phase PWM and full-bridge converter.

• Journal of Electrical Engineering and Technology
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• 제12권4호
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• pp.1369-1375
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• 2017

This paper presents an optimal operation scheduling algorithm for a smart home with energy storage system, electric vehicle and distributed generation. The proposed algorithm provides the optimal charge and discharge schedule of the EV and the ESS. In minimizing the electricity costs of the smart home, it considers not only the cost of energy purchase from the grid but also the life cost of batteries. The life costs of batteries are calculated based on the relation between the depth of discharge and life time of battery. As the life time of battery depends on the charge and discharge pattern, optimal charge and discharge schedule should consider the life cost of batteries especially when there is more than one battery with different technical characteristics. The proposed algorithm can also be used for optimal selection of size and type of battery for a smart home.

• 한국기계가공학회지
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• 제19권5호
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• pp.105-110
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• 2020

The global battery market is rapidly growing due to the development of vehicles(EV) and wireless electronic products. In particular logistics robots, which hielp to produce EVs, have attracted much interest in research in Korea Because logistics sites and factories operate continuously for 24 hours, the technology that can dramatically increase the operation time of the logistics equipment is rapidly developing, and various high-level technologies are required for the batteries used in. for example, logistics robots. These required technologies include those that enable rapid battery charging as well wireless charging to charge batteries while moving. The development of these technologies, however, result in increasing explosions and topical accidents involving rapid charging batteries These accidents due to the thermal shock caused by the heat generated during the charging of the battery cell. In this study, a performance evaluation of a heat dissipation design using infrared thermal imaging was performed on an energy storage systrm(Ess) applied with an internal heat conduction cooling method using a heating plate.