• The Journal of the Korea institute of electronic communication sciences
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• v.16 no.2
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• pp.255-260
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• 2021

The importance of electric vehicles is gradually increasing due to the recent depletion of fossil fuels. In order to use an electric vehicle, the battery built into the vehicle must be frequently charged. Electric vehicles has very good performance in terms of noise and vibration. However, due to the limitations of the battery, the mileage is considerably shorter than that of an internal combustion engine vehicle once it is charged, and the battery charging time is relatively long compared to the refueling time. There are two types of charging methods for electric vehicle batteries: plug-in and wireless charging. In this paper, we introduced the wireless charging technology for electric vehicles and the current state of technology development and standards in major countries.

• Proceedings of the Korean Institute of Surface Engineering Conference
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• 2016.11a
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• pp.192.2-192.2
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• 2016

최근 차세대 휴대용 전자기기나 전기자동차의 상용화 연구가 활발히 이루어짐에 따라 리튬이온 배터리가 주력 에너지 저장장치로써 활발히 개발되고 있다. 이러한 리튬이온 배터리의 음극 물질로써 주로 탄소재료가 많이 사용되어 왔지만 낮은 이론용량 (372 mAh/g)으로 인하여 좀더 높은 용량을 가지는 금속이나 합금 등이 주목을 받게 되었다. 그 중에서도 주석이 탄소재료에 비해 3배 정도 높은 이론 용량 (993 mAh/g)을 가지고 있어 많은 연구가 진행되고 있다. 하지만 주석의 경우 리튬이온 배터리의 충방전 과정 중에 급격한 부피 변화가 발생하여 음극이 손상되고 이에 따라 용량이 급격하게 감소하는 한계점이 있다. 이 한계를 극복하기 위한 많은 방법들 중 하나가 구리-주석 합금을 음극으로 사용하는 것이다. 구리는 비활성 금속으로 충방전 중의 부피 변화에 완충제 역할을 하고, 연성과 전기전도성이 있어서 배터리의 전기화학적 성능 또한 향상시켜 준다. 이에 따라, 본 연구에서는 주석이 풍부한 구리-주석 합금 도금을 통하여 구조적으로 튼튼한 리튬이온 배터리의 음극을 만들었고 그 성능을 확인하기 위하여 반쪽전지 실험을 통하여 500회 충방전 동안의 싸이클 특성 및 효율을 확인하였고 순환전압전류 실험 또한 진행하였다.

• Journal of IKEEE
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• v.18 no.3
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• pp.298-304
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• 2014

Proper operation of the battery powered systems depends on the accuracy of the battery SOC(State of Charge) estimation, therefore it is critical for those systems that SOC is accurately determined. The SOC of the battery is related to the battery aging and the SOC estimation methods without considering the aging of the battery are not accurate. In this paper, a new method that accurately estimate the SOC of the battery is proposed considering the aging of the battery. A mathematical model for the Battery SOC-OCV(Open Circuit Voltage) relationship is presented using Boltzmann equation and aging indicator is defined, and then the SOC is estimated combining the mathematical model and aging indicator. The proposed method takes the aging of the battery into consideration, which leads to an accurate estimation of the SOC. The simulations and experiments show the effectiveness of the proposed method for improving the accuracy of the SOC estimation.

• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.22 no.6
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• pp.127-133
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• 2008

This paper presents the battery management system(BMS) for the optimum conditions of the lead-Acid battery in UPS. The proposed system control the currents and voltages of battery for optimum conditions to estimate the State Of Charge(SOC) in charge or discharge mode. It proved the performance and the algorithm for the estimation of SOC, through the experiments which using the charge and discharge tester and the field tests.

• Journal of IKEEE
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• v.26 no.4
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• pp.531-536
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• 2022

In order to efficeintly manage a battery, it is important to accurately estimate and manage the SOH(State of Health) and RUL(Remaining Useful Life) of the batteries. Even if the batteries are of the same type, the characteristics such as facility capacity and voltage are different, and when the battery for the training model and the battery for prediction through the model are different, there is a limit to measuring the accuracy. In this paper, We proposed the entropy index using voltage distribution and discharge time is generalized, and four batteries are defined as a training set and a test set alternately one by one to predict the health status of batteries through linear regression analysis of machine learning. The proposed method showed a high accuracy of more than 95% using the MAPE(Mean Absolute Percentage Error).

• Transactions of the Korean Society of Mechanical Engineers B
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• v.40 no.6
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• pp.403-408
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• 2016

Lithium-ion batteries are commonly employed in hybrid electric vehicles (HEVs), and achieving high energy density in the battery has been one of the most critical issues in the automotive industry. Because liquid cooling containing antifreeze is important in automotive batteries to enable cold starts, an effective geometric configuration for high-cooling performance should be carefully investigated. Battery cooling with antifreeze has also been considered to realize successful cold starts. In this article, we theoretically investigate a specific property of an antifreeze cooling battery system, and we perform numerical modeling to satisfy the required thermal specifications. Because a typical battery system in HEVs consists of multiple stacked battery cells, the cooling performance is determined mainly by the special properties of antifreeze in the coolant passage, which dissipates heat generated from the battery cells. We propose that the required cooling performance can be realized by performing numerical simulations of different geometric configurations for battery cooling. Furthermore, we perform a theoretical analysis as a design guideline to optimize the cooling performance with minimum power consumption by the cooling pump.

• The Journal of the Korea institute of electronic communication sciences
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• v.19 no.4
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• pp.669-676
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• 2024

This study aims to evaluate battery damage and heat transfer mechanisms through fire tests on lithium-ion batteries, and to explore ways to improve the efficiency and safety of battery management systems (BMS). Temperature changes in each sector are measured at points T1, T2, and T3 observing and recording the reactions of surrounding cells for 10 minutes after applying electricity to the ignition electrode. The results show that the batteries in sectors A and B fully ignite, causing severe physical damage, while the batteries in sector C do not ignite and sustain minimal damage. This confirms that the distance between sectors plays a crucial role in reducing ignition and heat propagation. The study suggests that considering the distance between sectors in the design of thermal management systems for lithium-ion batteries can significantly mitigate ignition and heat spread. Future experiments with various battery models and conditions will further propose the ways to enhance the efficiency and safety of BMS.

• Journal of Energy Engineering
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• v.19 no.2
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• pp.92-102
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• 2010

Plug-in hybrid electric vehicle(PHEV) is a hybrid electric vehicle (HEV) with more added battery capacity that can be recharged from the electric power grid. Plug-in battery electric vehicle(PBEV) is a pure electric vehicle that uses only electric motor using electricity from battery that recharged from the power grid. PHEV and PBEV requires recharging of batteries in the vehicles from electric power grid. Recently, PHEVs and PBEV are being developed around the world. It is important to understand how these electric vehicles affect power demands and carbon dioxide emissions. From vehicle customer viewpoint, running energy cost will be imporatnt factor to consider. This paper analyzes the potential impacts of PHEVs and PBEVs on electric power demand, and associated CO2 emissions in 2020 with an projection that the vehicles will be penetrated with 10% market share. Energy costs for the vehicles are also calculated and compared with the conventional combustion vehicle.

• The Journal of the Convergence on Culture Technology
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• v.9 no.3
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• pp.727-730
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• 2023

The operation of electric automatic windows is used in harsh environments, and the energy density decreases as charging and discharging are repeated, and as soundness deteriorates due to damage to the internal separator, the vehicle's mileage decreases and the charging speed slows down, so about 5 to 10 Batteries that have been used for about a year are classified as waste batteries, and for this reason, as the risk of battery fire and explosion increases, it is essential to diagnose batteries and estimate SOH. Estimation of current battery SOH is a very important content, and it evaluates the state of the battery by measuring the time, temperature, and voltage required while repeatedly charging and discharging the battery. There are disadvantages. In this paper, measurement of discharge capacity (C-rate) using a waste battery of a Tesla car in order to predict SOH estimation of a lithium-ion battery. A Support Vector Machine (SVM), one of the machine models, was applied using the data measured from the waste battery.

• Journal of IKEEE
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• v.23 no.1
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• pp.1-8
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• 2019

In this paper, the electrical characteristics with various C-rates are tested with a high power series battery pack comprised of 18650 cylindrical nickel cobalt aluminum(NCA) lithium-ion battery. The electrical characteristics of discharge capacity test with 14S1P battery pack and electric vehicle (EV) cycle test with 4S1P battery pack are compared and analyzed by the various of C-rates. Multiple linear regression is used to estimate voltage imbalance of 14S1P and 4S1P battery packs with various C-rates based on experimental data. The estimation accuracy is evaluated by root mean square error(RMSE) to validate multiple linear regression. The result of this paper is contributed that to use for estimating the voltage imbalance of discharge capacity test with 14S1P battery pack using multiple linear regression better than to use the voltage imbalance of EV cycle with 4S1P battery pack.