• Applied Chemistry for Engineering
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• v.29 no.6
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• pp.635-644
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• 2018

Lithium ion batteries have been broadly used in various applications to our daily life such as portable electronics, electric vehicles and grid-scale energy storage devices. Significant efforts have recently been made on developing electrode materials for lithium ion batteries that meet commercial needs of the high energy density, light weight and low cost. In this review, we summarize the principles and recent research advances in cathode and anode materials for lithium ion batteries, and particularly emphasize electrode material designs and advanced characterization techniques.

• KIPS Transactions on Software and Data Engineering
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• v.12 no.3
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• pp.133-140
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• 2023

The performance of lithium ion batteries depends on the usage environment and the combination ratio of cathode materials. In order to develop a high-performance lithium-ion battery, it is necessary to manufacture the battery and measure its performance while varying the cathode material ratio. However, it takes a lot of time and money to directly develop batteries and measure their performance for all combinations of variables. Therefore, research to predict the performance of a battery using an artificial intelligence model has been actively conducted. However, since measurement experiments were conducted with the same battery in the existing published battery data, the cathode material combination ratio was fixed and was not included as a data attribute. In this paper, we define a training data model required to develop an artificial intelligence model that can predict battery performance according to the combination ratio of cathode materials. We analyzed the factors that can affect the performance of lithium-ion batteries and defined the mass of each cathode material and battery usage environment (cycle, current, temperature, time) as input data and the battery power and capacity as target data. In the battery data in different experimental environments, each battery data maintained a unique pattern, and the battery classification model showed that each battery was classified with an error of about 2%.

• Resources Recycling
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• v.28 no.5
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• pp.3-18
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• 2019

Due to the increasing demand for clean energy, the consumption of lithium ion batteries (LIBs) is expected to grow steadily. Therefore, stable supply of lithium is becoming an important issue globally. Commercially, most of lithium is produced from the brine and minerals viz., spodumene, although various processes/technologies have been developed to recover lithium from other resources such as low grade ores, clays, seawaters and waste lithium ion batteries. In particular, commercialization of such recycling technologies for end-of-life LIBs being generated from various sources including mobile phones and electric vehicles(EVs), has a great potential. This review presents the commercial processes and also the emerging technologies for exploiting minerals and brines, besides that of newly developed lithium-recovery-processes for the waste LIBs. In addition, the future lithium-supply is discussed from the technical point of view. Amongst the emerging processes being developed for lithium recovery from low-grade ores, focus is mostly on the pyro-cum-hydrometallurgical based approaches, though only a few of such approaches have matured. Because of low recycling rate (<1%) of lithium globally compared to the consumption of lithium ion batteries (56% of lithium produced currently), processing of secondary resources could be foresighted as the grand opportunity. Considering the carbon economy, environment, and energy concerns, the hydrometallurgical process may potentially resolve the issue.

• Journal of Korea Society of Industrial Information Systems
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• v.18 no.5
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• pp.73-80
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• 2013

Recently, Li-ion battery is regarded as a potential energy storage device in the lime light and it can supply power to the satellite very effectively during eclipse. Because it has better features as high voltage range, large capacity and small volume than any other battery. Generally, multi cells are connected in series to use Li-ion batteries in satellite application. Since the internal resistance of cells is different each other, voltage in some cells can be overcharged or undercharged, so capacity of the cell is reduced and the life of whole battery pack is decreased. Therefore, a voltage balancing circuit with Fly-back converter is proposed and the voltage equalization of each cell is verified the prototype in this paper.

• Proceedings of the Korean Society of Computer Information Conference
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• 2017.07a
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• pp.390-391
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• 2017

본 논문에서는 배터리의 수명을 연장할 수 있는 효율적인 충전방법에 대해 제안하였다. 제안된 방법은 우선 충전하고자 하는 배터리의 전압과 전류를 측정한다. 측정된 배터리의 전압과 같은 값에서 1.5배 값까지 단계적으로 전압을 상승시켜 배터리의 상태를 검사한다. 배터리의 반응 상태들 중에서 충전이 가장 안정적인 전압을 결정한다. 전압이 결정되면 배터리의 전류 값을 배터리 용량의 1/3에서 1/10까지 단계적으로 조율하여 충전을 하도록 한다. 이러한 방법은 배터리를 보호하면서 충전 시간을 축소시켜 효율적으로 배터리를 관리할 수 있는 방법이다. 제안된 방법의 효율성을 입증하기 위해 핸드폰 보조배터리로 가장 많이 사용되고 있는 리튬 폴리머 배터리를 이용하여 실험하였다. 실험 결과 충전시간의 감소와 안전성 등의 효율성이 입증되었다.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.42 no.4
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• pp.855-863
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• 2017

Because Li-ion battery and Li-Polymer battery have high-energy storage density, they are used for various electronic devices such as electronic cigarette, electronic bicycle, drone, second battery, even golf cart and electronic car. Recently, however, battery explosion is sometimes occurring on electronic devices using Li-ion battery and is becoming serious as bodily harm is breaking out due to explosion. For this, this paper described the Li-ion Battery's operating principles and verified the cause of explosion by overload tests caused by the high-energy storage density. According to the these experiments, we conducted a study to develope scanning techniques of fire and safety measures.

• The Journal of the Korea institute of electronic communication sciences
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• v.18 no.6
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• pp.1151-1156
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• 2023

In this paper, we propose a deep learning model that utilizes charge/discharge data from initial lithium-ion batteries to predict the remaining useful life of lithium-ion batteries. We build the DMP using the PNP model. To demonstrate the performance of DMP, we organize DML using the LSTM model and compare the remaining useful life prediction performance of lithium-ion batteries between DMP and DML. We utilize the RMSE and RMSPE error measurement methods to evaluate the performance of DMP and DML models using test data. The results reveal that the RMSE difference between DMP and DML is 144.62 [Cycle], and the RMSPE difference is 3.37 [%]. These results indicate that the DMP model has a lower error rate than DML. Based on the results of our analysis, we have showcased the superior performance of DMP over DML. This demonstrates that in the field of lithium-ion batteries, the PNP model outperforms the LSTM model.

• Proceedings of the KIPE Conference
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• 2016.11a
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• pp.57-58
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• 2016

리튬이온 배터리는 다른 배터리들에 비해서 높은 전압과 큰 용량을 갖고 있지만 EV와 ESS에 사용되기 위해서는 아직도 다수의 배터리를 직, 병렬로 연결하여 팩으로 구성하여 사용할 필요가 있다. 이 때 팩을 구성하는 리튬이온 배터리들이 셀 스크리닝 기법을 통해서 분류가 된 배터리라고 하여도 표면적인 원인과 직렬조합 배터리팩의 구조에 따라서 온도편차가 발생 할 수 있다. 이 때 이 배터리 팩을 사용하는 시스템의 BMS가 위의 상황을 고려하지 않는다면 BMS의 SOC 추정 값을 신뢰 할 수 없을 것이다. 본 논문에서는 실험결과를 토대로 구조가 다른 배터리 팩을 기존의 BMS로 각각의 SOC를 추정해 보고 배터리 직렬조합 구조에 의한 배터리 팩의 표면온도를 비교 분석해 보려한다.

• Proceedings of the KIPE Conference
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• 2017.11a
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• pp.161-162
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• 2017

배터리 팩에 사용되는 리튬이온 배터리는 셀의 양극활물질에 따라 특성이 다르다. 배터리 팩의 효율적 운용을 위해 단위 셀간 편차를 최소화 하는 것이 필요하다. 본 논문에서는 양극활물질이 다른 고출력 및 고용량 리튬이온 배터리 세 종류를 선정하여 IR 및 OCV를 측정하고, 통계적 분석 기반 셀 스크리닝을 진행하여 결과를 비교 분석하였다.

• Proceedings of the KIPE Conference
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• 2011.07a
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• pp.413-414
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• 2011

최근 전기 자동차 배터리의 전하 균일 장치의 관심이 증가됨에 따라 제어가 간단하며 비교적 적은 소자를 통한 개별 전하 균일 장치 개발의 필요성이 대두되고 있다. 이 논문에서는 직렬 연결된 리튬 이온 배터리를 위한 개별 셀 전하 균일 장치를 제안한다. 이 장치는 하나의 공통된 인버터 동작을 공유하면서 개별로 나눠진 트렌스포머를 간단한 제어 동작을 통해 선택적으로 동작 시키는 방식을 사용한다. 이 구조를 통해 제안하는 전하 균일 장치는 전하 균일 전류를 제어함에 있어 간단한 구조와 제어 방법을 얻을 수 있다. 또한 대용량 배터리를 위한 큰 전하 균일 전류를 얻음에 있어 제안 회로는 신뢰성 있는 적은 수의 회로 소자 수를 가진다. 이 논문에서는 제안하는 장치의 회로와 동작 방법을 설명하면서, 8 개 리튬 이온 배터리를 위한 전하 균일 실험을 통해 제안 장치의 전하 균일 성능을 증명한다.