• Proceedings of the KIPE Conference
• /
• 2018.07a
• /
• pp.464-465
• /
• 2018

트램 및 전기자동차와 같은 운송 시스템에 들어가는 배터리팩은 지속적인 진동을 받게 되고 이러한 진동은 SOH(State of Health)를 감소시킨다. 뿐만 아니라 진동으로 인해 배터리팩 내부 셀들 간의 SOH가 불균일해지는 문제점이 있다. SOH의 불균형은 배터리의 수명을 단축시킨다. 본 논문에서는 각 셀 간의 SOH 균형을 위한 Thermal Balancing 기법을 제시한다.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.10 no.9
• /
• pp.2236-2245
• /
• 2009

This paper proposes the process for evaluating the impact of charging the PHEV(Plug-In Hybrid Electric Vehicle) on the distribution systems, and analyzes the study results employing the actual systems as the PHEV is highly expected to increase in the automobile industries in North America in the near future. Since the charging load of the PHEV directly connected to the distribution systems would consume electric power much more than any other existing electric product of residential customers, the new modeling and process would be required to consider the PHEV in distribution systems planning. The EPRI(Electric Power Research Institute) is collaboratively conducting the impact study of PHEV on the distribution systems with power utilities in North America. This study models distribution systems and the charging load of the PHEV using OpenDSS software, and analyzes the impact of PHEV on the distribution systems by assuming various scenarios with different charging time and PHEV types.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
• /
• v.16 no.6
• /
• pp.385-391
• /
• 2023

As the use of electric vehicles has increased to minimize carbon emissions, the analyzing the state and performance of lithium-ion batteries that is instrumental in electric vehicles have been important. Comprehensive analysis using not only the voltage, current and temperature of the battery pack, which can affect the condition and performance of the battery, but also the driving data and charging pattern data of the electric vehicle is required. Therefore, a thorough analysis is imperative, utilizing electric vehicle operation data, charging pattern data, as well as battery pack voltage, current, and temperature data, which collectively influence the condition and performance of the battery. Therefore, collection and preprocessing of battery data collected from electric vehicles, collection and preprocessing of data on driver driving habits in addition to simple battery data, detailed design and modification of artificial intelligence algorithm based on the analyzed influencing factors, and A battery analysis and evaluation model was designed. In this paper, we gathered operational data and battery data from real-time electric buses. These data sets were then utilized to train a Random Forest algorithm. Furthermore, a comprehensive assessment of battery status, operation, and charging patterns was conducted using the explainable Artificial Intelligence (XAI) algorithm. The study identified crucial influencing factors on battery status, including rapid acceleration, rapid deceleration, sudden stops in driving patterns, the number of drives per day in the charging and discharging pattern, daily accumulated Depth of Discharge (DOD), cell voltage differences during discharge, maximum cell temperature, and minimum cell temperature. These factors were confirmed to significantly impact the battery condition. Based on the identified influencing factors, a battery analysis and evaluation model was designed and assessed using the Random Forest algorithm. The results contribute to the understanding of battery health and lay the foundation for effective battery management in electric vehicles.

• Proceedings of the KIPE Conference
• /
• 2010.07a
• /
• pp.316-317
• /
• 2010

본 논문에서는 전기 자동차 탑재형 충전기 모듈에 대하여 설명한다. 기존의 충전기와는 달리 저압 충전부를 겸비하고 있어 저압 배터리도 동시에 충전시킬 수 있는 절연형 3.3kW 충전기 모듈이다. 전기 자동차 탑재형으로 온도와 진동에 강한 전장용 부품을 사용하여 주요 하드웨어를 구성하였으며, 유로해석 및 PCB진동해석을 통해 외부 온도변화와 진동에 강인하도록 설계하였다.

• Journal of Advanced Technology Convergence
• /
• v.2 no.3
• /
• pp.17-24
• /
• 2023

I am designing a research paper with the aim of studying hybrid vehicles. Hybrid vehicles, as the next-generation automobiles, feature a combination of internal combustion engines and battery engines, resulting in a revolutionary reduction in fuel consumption and harmful gas emissions compared to conventional vehicles. The electric motor in hybrid cars derives power from a high-voltage battery installed within the vehicle, which is recharged during vehicle motion. In contrast to traditional cars, which often experience energy losses due to idling caused by traffic congestion, hybrid systems optimize efficiency by skillfully managing the interplay between the internal combustion engine and the electric motor. This approach effectively addresses the inherent drawbacks of gasoline or diesel engines.Hybrid cars offer an array of benefits, including improved fuel efficiency, environmental friendliness, cost-effectiveness, and reduced noise emission. Consequently, they are progressively becoming a favored alternative among a growing number of individuals. This research endeavor has the potential to contribute towards curbing environmental pollution and dedicating efforts to future automotive research.

• Proceedings of the KIEE Conference
• /
• 2011.07a
• /
• pp.1189-1190
• /
• 2011

본 논문은 전기자동차(EV, Electric Vehicle)에 충전용 대용량 직류(DC) 전력을 공급할 수 있는 급속충전기를 개발하고 그 성능을 정의하며 충전성능시험장치를 개발하여 급속충전기의 성능시험을 한 결과에 관한 것이다. 급속충전기는 EV의 충전에 필요한 시간을 단축하고자 배터리가 허용하는 한계까지 전압, 특히 전류를 높여 급속히 충전을 한다. EV와 충전기 사이에는 이러한 전력공급 외에도 커넥터 연결확인 및 차량존재 유무 등의 안전을 체크하는 아날로그 시그널과 EV의 배터리관리장치(BMS)에서 충전기에 필요전력을 통보하는 디지털 통신이 필요하여 충전성능을 시험하기 위해서는 전력, 아날로그 시그널, 디지털 통신을 차량 대신 동시에 주고받으며 충전기를 시험하는 충전성능 시험장치가 필요하다. 본 논문에서는 어떻게 시험장치를 구성하여 이러한 실험을 수행하였는지, 그리고 충전기성능 분석결과를 설명하고자 한다.

• The Journal of the Korea institute of electronic communication sciences
• /
• v.17 no.4
• /
• pp.617-624
• /
• 2022

The small electric vehicles equipped with V2X(vehicle to everything) systems may provide more information and function to the existing navigation system of the vehicle. The key components of V2X technology include V2V (vehicle to vehicle), V2N(vehicle to network) and V2I (vehicle to infrastructure). This study is to design and implementation of VI type E-PTO which is interfaced with external equipments, the work designs the components of E-PTO such as DC/DC converter, DC/AC converter, battery bidirectional charging system etc. Also, it implements the devices and control systems for driving. The test results of VI type E-PTO components showed allowable 10% requirements of transient voltage variation rate and recovery time within 100ms for start/stop and normal operation.

• Journal of IKEEE
• /
• v.23 no.2
• /
• pp.580-585
• /
• 2019

Batteries are being used in ESS, electric vehicles and uninterruptible power backup systems. Lead-acid batteries are the most used batteries for high capacity power back up equipment due to their high reliability and low price advantages. It is very important to estimate the chargeable capacity(SoH), and many algorithms were proposed to estimate the internal resistance of the battery. In this paper, the Battery Monitoring System(BMS) for high capacity uninterruptible power supply for IDC is proposed. A simple algorithm for estimating internal resistance was proposed. An computational block diagram of the proposed signal processing algorithm and BMS system configuration of CPU and analog circuit were shown. The proposed method was proved useful by presenting data examples of application to actual IDC sites.

• Proceedings of the KIPE Conference
• /
• 2019.11a
• /
• pp.150-151
• /
• 2019

리튬 이온 배터리가 전기 자동차 및 다양한 어플리케이션에 적용됨에 따라 폐배터리의 수요 또한 증가하고 있다. 내부 화학적 상태가 상이한 배터리의 전기적 특성실험을 통해 파라미터를 선정할 수 있으며 전기적 특성 실험 전 후의 시간차에 따른 파라미터 변화를 반영하는 것이 필수적이다. 제조 공정과정의 파라미터의 측정값과 특성실험 후의 파라미터 재측정값을 비교함으로써 이를 3-D Kmeans Clustering 알고리즘에 반영하여 더욱 정밀한 셀 선별을 실시하였다.

• Proceedings of the KIPE Conference
• /
• 2019.11a
• /
• pp.178-179
• /
• 2019

최근 다양한 어플리케이션에서 리튬 이온 배터리가 사용됨에 따라 이에 대한 연구가 활발히 이루어지고 있다. 전기 자동차(Electric Vehicles; EVs) 및 에너지저장장치(Energy Storage Systems; ESSs) 등의 개발로 대형 배터리 시스템이 요구되고 있으며, 이의 해석이 요구되고 있다. 본 논문에서는 18650 원통형 셀로 구성된 14S20P 배터리 모듈의 노화에 따른 전기적 특성 및 열 거동 변화를 분석하였다.