• Title/Summary/Keyword: Battery recycling

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A Novel Technology for Recycling Waste Dry-battery

  • Chen, Weiliang;Chai, Liyuan;Min, Xiaobo;Zhang, Chuanfu
    • Proceedings of the IEEK Conference
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    • 2001.10a
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    • pp.249-251
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    • 2001
  • A novel technology for recycling valuable metals contained in waste dry-battery by vacuum metallurgy was devised by theoretical analysis. On the condition of the total chamber pressure of 1.013$\upsilon$10$^1$Pa, Hg, Cd and Zn are distilled in the temperature range of 773~973K, Pb is volatilized in the range of 1173~1273K while Mn, Cu, Fe and C are remained in residual. MnO$_2$and ZnO are reduced by carbon in waste dry-battery in 773~1273K. Pure metals including Zn, Cd, Hg and Pb can be recovered respectively from their mixed vapor by fractional condensation. Metal Cu and MnO$_2$can be obtained from the residual by hydrometallguical method. The technology can eliminate the pollution of Cd, Hg and Pb to environment.

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Analysis of the Closed-Loop Supply Chain Focusing on Power Batteries in China

  • Chen, Jinhui;Bayarsaikhan, Bayarsaikhan;Nam, Sootae;Jin, Chanyong
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2021.10a
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    • pp.570-571
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    • 2021
  • The research on waste power batteries in China in the past ten years reveals that the power battery recycling industry is enormous but marred with several challenges. A study of China's current power battery closed-loop supply chain revealed some issues in the power battery recycling industry, such as imperfect supply chain, small recycling scale, asymmetric information, and imperfect profit distribution mechanism. This paper uses the theory of corporate social responsibility and consumer choice to propose a closed-loop network of power batteries based on block chain technology and analyzes the existing closed-loop supply chain of power batteries. Consequently, this study provides a new idea for developing the power battery closed-loop supply chain by proposing the closed-loop network of power batteries based on blockchain technology

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The Enhancement of Recycling Processes Efficiency of Lithium Ion Batteries; A Review (리튬이온전지 재활용공정 효율 향상을 위한 공정개선 연구동향)

  • Kyoungkeun Yoo;Wonhwa Heo;Bumchoong Kim
    • Resources Recycling
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    • v.33 no.2
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    • pp.24-36
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    • 2024
  • The lithium-ion battery recycling process has been classified into direct recycling, hydrometallurgical process, and pyrometallurgical process. The commercial process based on the hydrometallurgical process produces black mass through pretreatment processes consisting of dismantling, crushing and grinding, heat treatment, and beneficiation, and then each metal is recovered by hydrometallurgical processes. Since all lithium-ion battery recycling processes under development conducts hydrometallurgical processes such as leaching, after the pretreatment process, to produce precursor raw materials, this article suggests a classification method according to the pretreatment method of the recycling process. The processes contain sulfation roasting, carbothermic reduction roasting, and alloy manufacturing, and the economic feasibility of the lithium-ion battery recycling process can be enhanced using unused by-products in the pretreatment process.

The Benefit-Cost analysis for Korea Lithium-ion Battery Waste Recycling project and promotion plans (국내 중대형 이차전지 재활용 사업의 경제성 분석 및 발전방안 연구)

  • Mo, Jung-Youn
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.19 no.9
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    • pp.326-332
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    • 2018
  • Korea faces major changes in energy policy, which include eco-friendly and zero-nuclear power. On the other hand, there are very few policies for the waste-management of mid- to large-sized lithium-ion batteries, such as electric car batteries and energy storage systems, which are expected to increase explosively due to such energy policy changes. Therefore, this study estimated the amount of mid- to large-sized lithium ion batteries waste and performed economics analysis of a middle and large sized secondary battery recycling project. Based on the results, a policy alternative for the revitalization of the related lithium-ion battery recycling industry is suggested. As a result, the B / C ratio of a domestic mid - to large - sized lithium ion battery recycling project is 1.06, in which the benefit is higher than the cost, so the business is economic feasible. Although the recycling project's economic efficiency is high, the recycling industry has not been activated in Korea because the domestic demand for rechargeable batteries recycling is very low. To solve this problem, this study proposes a plan to activate the industry by adding lithium secondary batteries to the EPR (Extended Producer Responsibility) items.

Recovering Critical Metal Ions from Battery Wastes: A Brief Review (폐배터리에서 희소금속을 회수하는 기술에 대한 총론)

  • Hyo Jung Kim;Cheol Lee;Won Seok Chang;Go Gi Lee;Jong Suk Lee
    • Membrane Journal
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    • v.34 no.1
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    • pp.1-9
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    • 2024
  • The rapid expansion of the electric vehicle market has led to increased demand for battery recycling technologies. The recycling of spent batteries is crucial to stabilize the supply of rare metals, including lithium, cobalt and nickel, which are essential components for the battery industry. In addition, the technology for recycling spent batteries can help to reduce environmental and health impacts. This review presents the theoretical principles behind the metal recovery technology and the processes that are currently commercially available. It also describes trends in research and technological developments that aim to improve existing processes, and provides an overview of where recycling technology is headed.

A Comparison of the Discharged Products in Environmentally Benign Li-O2 and Na-O2 Batteries (친환경의 리튬 - 공기전지와 소듐 - 공기전지의 방전 생성물 비교 분석 연구)

  • Kang, Jungwon
    • Resources Recycling
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    • v.25 no.3
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    • pp.82-87
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    • 2016
  • The discharged products of Li-$O_2$ and Na-$O_2$ batteries using ether-based electrolyte as next-generation battery system were analyzed. The morphology of the discharged products showed millet-like shape in the both battery systems by FESEM. However, the discharged product, $Li_2O_2$ showed amorphous-like form in the Li-$O_2$ cell while crystalline $NaO_2$ is formed in the Na-$O_2$ cell when confirmed by X-ray diffraction. In this work, we comprehended a principle operating mechanism of Li-$O_2$ and Na-$O_2$ battery.

Policy Suggestion for Fostering the Industry of Using End of Life EV Batteries (전기차 사용 후 배터리 재사용 산업 육성을 위한 정책 제안)

  • LEE, HEE DONG;LIM, OCK TAECK
    • Transactions of the Korean hydrogen and new energy society
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    • v.32 no.4
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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.

A Study on the Life Prediction of Lithium Ion Batteries Based on a Convolutional Neural Network Model

  • Mi-Jin Choi;Sang-Bum Kim
    • International Journal of Internet, Broadcasting and Communication
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    • v.15 no.3
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    • pp.118-121
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    • 2023
  • Recently, green energy support policies have been announced around the world in accordance with environmental regulations, and asthe market grows rapidly, demand for batteries is also increasing. Therefore, various methodologies for battery diagnosis and recycling methods are being discussed, but current accurate life prediction of batteries has limitations due to the nonlinear form according to the internal structure or chemical change of the battery. In this paper, CS2 lithium-ion battery measurement data measured at the A. James Clark School of Engineering, University of Marylan was used to predict battery performance with high accuracy using a convolutional neural network (CNN) model among deep learning-based models. As a result, the battery performance was predicted with high accuracy. A data structure with a matrix of total data 3,931 ☓ 19 was designed as test data for the CS2 battery and checking the result values, the MAE was 0.8451, the RMSE was 1.3448, and the accuracy was 0.984, confirming excellent performance.