• Title/Summary/Keyword: Electric Vehicle Battery

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EV battery's real-time driving data acquisition and comparison by route (전기차 배터리의 실시간 주행 데이터 취득과 주행경로별 비교)

  • Yang, Seungmoo;Kim, Eel-Hwan
    • Proceedings of the KIPE Conference
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    • 2018.07a
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    • pp.489-490
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    • 2018
  • As the number of electric vehicles (EV) increases, there is an increasing interest in the post-vehicle application of the EV batteries. For the second use application of EV batteries, the state of health (SOH) at the end of automotive service has to be evaluated differently from the automotive perspective. It will be helpful to consider the driving conditions of EVs in understanding the performance deterioration trend of the battery. In this paper, we acquired the battery status information in real time during driving and compared the characteristics by the driving routes. The SOH from the BMS can be rescaled to percentage ratio to give a more general idea about the performance degradation.

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A 3kW Battery Charger with Battery Diagnosis Function Using Online Impedance Spectroscopy (온라인 임피던스 분광법을 이용한 배터리 진단 기능을 가진 3kW 충전기)

  • Doan, Van-Tuan;Choi, Woojin
    • Proceedings of the KIPE Conference
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    • 2014.11a
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    • pp.68-69
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    • 2014
  • In the battery based applications such as electric vehicle and energy storage system, the performance of the system highly depends on the reliability of the battery. However, it is difficult to obtain the accurate information about the state-of-health (SOH) of battery during its operation. In this paper a 3kw battery charger with battery diagnosis function which can estimate the SOH of the battery by using online impedance spectroscopy technique is introduced. For the charger phase shift full bridge converter with synchronous rectification has been adopted to implement the charge and diagnosis functions. The impedance spectroscopy is performed after the charge to obtain the information about the internal impedance of the battery module, hence the SOH can be estimated online by observing the impedance variation of the battery over time. All the design procedure of the proposed charger is detailed and the feasibility of the system is verified by the experimental results.

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Improved Metal Object Detection Circuits for Wireless Charging System of Electric Vehicles

  • Sunhee Kim
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.17 no.8
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    • pp.2209-2221
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    • 2023
  • As the supply of electric vehicles increases, research on wireless charging methods for convenience has been increasing. Because the electric vehicle wireless transmission device is installed on the ground and the electric vehicle battery is installed on the floor of the vehicle, the transmission and reception antennas are approximately 15-30 cm away, and thus strong magnetic fields are exposed during wireless charging. When a metallic foreign object is placed in the magnetic field area, an eddy current is induced to the metallic foreign object, and heat is generated, creating danger of fire and burns. Therefore, this study proposes a method to detect metallic foreign objects in the magnetic field area of a wireless electric vehicle charging system. An active detection-only coil array was used, and an LC resonance circuit was constructed for the frequency of the supply power signal. When a metallic foreign object is inserted into the charging zone, the characteristics of the resonance circuit are broken, and the magnitude and phase of the voltage signal at both ends of the capacitor are changed. It was confirmed that the proposed method has about 1.5 times more change than the method of comparing the voltage magnitude at one node.

Battery Module Bonding Technology for Electric Vehicles (전기자동차 배터리 모듈 접합 기술 리뷰)

  • Junghwan Bang;Shin-Il Kim;Yun-Chan Kim;Dong-Yurl Yu;Dongjin Kim;Tae-Ik Lee;Min-Su Kim;Jiyong Park
    • Journal of the Microelectronics and Packaging Society
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    • v.30 no.2
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    • pp.33-42
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    • 2023
  • Throughout all industries, eco-friendliness is being promoted worldwide with focus on suppressing the environmental impact. With recent international environment policies and regulations supported by government, the electric vehicles demand is expected to increase rapidly. Battery system itself perform an essential role in EVs technology that is arranged in cells, modules, and packs, and each of them are connected mechanically and electrically. A multifaceted approach is necessary for battery pack bonding technologies. In this paper, pros and cons of applicable bonding technologies, such as resistance welding, laser and ultrasonic bonding used in constructing electric vehicle battery packs were compared. Each bonding technique has different advantages and limitations. Therefore, several criteria must be considered when determining which bonding technology is suitable for a battery cell. In particular, the shape and production scale of battery cells are seen as important factors in selecting a bonding method. While dealing with the types and components of battery cells, package bonding technologies and general issues, we will review suitable bonding technologies and suggest future directions.

Smart Panel Board for EV Standard Chargers and Its Control Method (전기자동차 완속충전기용 스마트 분전반 및 그 제어방법)

  • Kim, Myeong-Soo;Hong, Soon-Chan
    • The Transactions of the Korean Institute of Power Electronics
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    • v.19 no.6
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    • pp.511-521
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    • 2014
  • This study proposes an electric vehicle (EV) smart panel board and its control method on the basis of charging scheduling. The proposed system consists of batteries, a three-phase battery charger, three single-phase inverters, transfer switches for electric power distribution, and a controller. The three-phase battery charger usually charges the batteries at midnight when electric rates are cheap and in light load. When the electric power consumption of the EV standard chargers connected to one phase of the power line is relatively large or when a blackout occurs, the electric power stored in the battery is supplied by discharging through the inverters to the EV standard chargers. As a result, the value of peak load and the charging electric power quantity supplied from a utility grid are reduced, and the current unbalance is improved. The usefulness of the proposed system is confirmed through simulations, experiments, and case studies.

Detection Algorithm and Extract of Deviation Parameters for Battery Pack Based on Internal Resistance Aging (저항 열화 기반의 배터리 팩 편차 파라미터 추출 방안 및 검출 알고리즘)

  • Song, Jung-Yong;Huh, Chang-Su
    • Journal of the Korean Institute of Electrical and Electronic Material Engineers
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    • v.31 no.7
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    • pp.515-520
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    • 2018
  • A large number of lithium-ion batteries are arranged in series and parallel in battery packs, such as those in electric vehicles or energy storage systems. As battery packs age, their output power and energy density drop because of voltage deviation, constant and non-uniform exposure to abnormal environments, and increased contact resistance between batteries; this reduces application system efficiency. Despite the balancing circuit and logic of the battery management system, the output of the battery pack is concentrated in the most severely aged unit cell and the output is frequently limited by power derating. In this study, we implemented a cell imbalance detection algorithm and selected parameters to detect a sudden decrease in battery pack output. In addition, we propose a method to increase efficiency by applying the measured testing values considering the operating conditions and abnormal conditions of the battery pack.

A Study on the Lifetime Prediction of Lithium-Ion Batteries Based on the Long Short-Term Memory Model of Recurrent Neural Networks

  • Sang-Bum Kim
    • International Journal of Internet, Broadcasting and Communication
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    • v.16 no.3
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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.

A Study on the Paper and Patents Trends of Electric Vehicle (전기자동차 문헌 및 특허정보 분석)

  • 나도백;김상우;이창호
    • Journal of Korea Technology Innovation Society
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    • v.5 no.3
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    • pp.354-366
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    • 2002
  • This study is a case study on the analysis of technological informations and patents in Electric Vehicle(EV). It first discusses technological trend, and second patents trends in comparison with major countries such as USA, Japan, Europe and Korea. Technological activities in EV are increasing year after year in the world. The focuses are concentrated in battery and recharging technology.

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Design of Drive System for Electric Vehicle (전기자동차 구동시스템 설계)

  • 오진석
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.3 no.2
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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.

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Power Demand and Total Harmonic Distortion Analysis for an EV Charging Station Concept Utilizing a Battery Energy Storage System

  • Kim, Kisuk;Song, Chong Suk;Byeon, Gilsung;Jung, Hosung;Kim, Hyungchul;Jang, Gilsoo
    • Journal of Electrical Engineering and Technology
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    • v.8 no.5
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    • pp.1234-1242
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    • 2013
  • To verify the effectiveness of the proposed system, the charges in power demand are analyzed for an AC and DC distribution system for the existing V2G concept and electric vehicle charging stations connected to a Battery Energy Storage System. In addition, since many power-converter-based chargers are operated simultaneously in an EV charging station, the change in the system harmonics when several EV chargers are connected at a single point is analyzed through simulations.