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Regeneration of Hybrid and Electric Vehicle Batteries: State-of-the-Art Review, Current Challenges, and Future Perspectives 混合动力和电动汽车电池的再生:最新技术回顾、当前挑战和未来展望
IF 4 4区 化学 Q2 Engineering Pub Date : 2024-03-14 DOI: 10.3390/batteries10030101
Rafael Martínez-Sánchez, Ángel Molina-García, A. Ramallo-González
Batteries have been integral components in modern vehicles, initially powering starter motors and ensuring stable electrical conditions in various vehicle systems and later in energy sources of drive electric motors. Over time, their significance has grown exponentially with the advent of features such as “Start & Stop” systems, micro hybridization, and kinetic energy regeneration. This trend culminated in the emergence of hybrid and electric vehicles, where batteries are the energy source of the electric traction motors. The evolution of storage for vehicles has been driven by the need for larger autonomy, a higher number of cycles, lower self-discharge rates, enhanced performance in extreme temperatures, and greater electrical power extraction capacity. As these technologies have advanced, so have they the methods for their disposal, recovery, and recycling. However, one critical aspect often overlooked is the potential for battery reuse once they reach the end of their useful life. For each battery technology, specific regeneration methods have been developed, aiming to restore the battery to its initial performance state or something very close to it. This focus on regeneration holds significant economic implications, particularly for vehicles where batteries represent a substantial share of the overall cost, such as hybrid and electric vehicles. This paper conducts a comprehensive review of battery technologies employed in vehicles from their inception to the present day. Special attention is given to identifying common failures within these technologies. Additionally, the scientific literature and existing patents addressing regeneration methods are explored, shedding light on the promising avenues for extending the life and performance of automotive batteries.
电池一直是现代汽车不可或缺的部件,最初为起动机提供动力,确保各种汽车系统的电气条件稳定,后来成为驱动电机的能源。随着时间的推移,随着 "启动和停止 "系统、微混合动力和动能再生等功能的出现,电池的重要性成倍增长。这一趋势最终导致了混合动力车和电动车的出现,电池成为电动牵引电机的能源。推动汽车存储技术发展的动力来自于对更大的自主性、更高的循环次数、更低的自放电率、更强的极端温度性能和更大的电力提取能力的需求。随着这些技术的发展,其处置、回收和循环利用的方法也在不断进步。然而,一个经常被忽视的重要方面是电池在使用寿命结束后的再利用潜力。针对每种电池技术,都开发了特定的再生方法,旨在将电池恢复到初始性能状态或非常接近初始性能的状态。这种对电池再生的关注具有重要的经济意义,特别是对于电池在总成本中占很大比例的汽车,如混合动力汽车和电动汽车。本文全面回顾了汽车从诞生至今所采用的电池技术。本文特别关注如何识别这些技术中的常见故障。此外,本文还探讨了有关再生方法的科学文献和现有专利,揭示了延长汽车电池寿命和性能的可行途径。
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引用次数: 0
The Rate Capability Performance of High-Areal-Capacity Water-Based NMC811 Electrodes: The Role of Binders and Current Collectors 高实际容量水基 NMC811 电极的速率能力性能:粘合剂和集流体的作用
IF 4 4区 化学 Q2 Engineering Pub Date : 2024-03-13 DOI: 10.3390/batteries10030100
Yuri Surace, Marcus Jahn, D. Cupid
The aqueous processing of cathode materials for lithium-ion batteries (LIBs) has both environmental and cost benefits. However, high-loading, water-based electrodes from the layered oxides (e.g., NMC) typically exhibit worse electrochemical performance than NMP-based electrodes. In this work, primary, binary, and ternary binder mixtures of aqueous binders such as CMC, PAA, PEO, SBR, and Na alginate, in combination with bare and C-coated Al current collectors, were explored, aiming to improve the rate capability performance of NMC811 electrodes with high areal capacity (≥4 mAh cm−2) and low binder content (3 wt.%). Electrodes with a ternary binder composition (CMC:PAA:SBR) have the best performance with bare Al current collectors, attaining a specific capacity of 150 mAh g−1 at 1C. Using carbon-coated Al current collectors results in improved performance for both water- and NMP-based electrodes. This is further accentuated for Na-Alg and CMC:PAA binder compositions. These electrodes show specific capacities of 170 and 80 mAh g−1 at 1C and 2C, respectively. Although the specific capacities at 1C are comparable to those for NMP-PVDF electrodes, they are approximately 50% higher at the 2C rate. This study aims to contribute to the development of sustainably processed NMC electrodes for high energy density LIBs using water as solvent.
锂离子电池(LIB)正极材料的水处理具有环保和成本优势。然而,与基于 NMP 的电极相比,基于层状氧化物(如 NMC)的高负载水基电极通常表现出更差的电化学性能。在这项工作中,研究人员探索了 CMC、PAA、PEO、SBR 和 Na alginate 等水性粘合剂的一元、二元和三元粘合剂混合物与裸露和 C 涂层铝集流器的组合,旨在提高高电容(≥4 mAh cm-2)和低粘合剂含量(3 wt.%)的 NMC811 电极的速率能力性能。采用三元粘合剂成分(CMC:PAA:SBR)的电极在使用裸铝集流体时性能最佳,在 1C 时比容量达到 150 mAh g-1。使用碳涂层铝集流体可提高水基和 NMP 基电极的性能。这在 Na-Alg 和 CMC:PAA 粘合剂成分中得到了进一步的体现。这些电极在 1C 和 2C 时的比容量分别为 170 和 80 mAh g-1。虽然 1C 时的比容量与 NMP-PVDF 电极相当,但 2C 时比容量高出约 50%。本研究旨在为开发以水为溶剂的高能量密度锂离子电池的可持续加工 NMC 电极做出贡献。
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引用次数: 0
Swift Prediction of Battery Performance: Applying Machine Learning Models on Microstructural Electrode Images for Lithium-Ion Batteries 快速预测电池性能:在锂离子电池微结构电极图像上应用机器学习模型
IF 4 4区 化学 Q2 Engineering Pub Date : 2024-03-12 DOI: 10.3390/batteries10030099
Patrick Deeg, C. Weisenberger, Jonas Oehm, Denny Schmidt, O. Csiszár, Volker Knoblauch
In this study, we investigate the use of artificial neural networks as a potentially efficient method to determine the rate capability of electrodes for lithium-ion batteries with different porosities. The performance of a lithium-ion battery is, to a large extent, determined by the microstructure (i.e., layer thickness and porosity) of its electrodes. Tailoring the microstructure to a specific application is a crucial process in battery development. However, unravelling the complex correlations between microstructure and rate performance using either experiments or simulations is time-consuming and costly. Our approach provides a swift method for predicting the rate capability of battery electrodes by using machine learning on microstructural images of electrode cross-sections. We train multiple models in order to predict the specific capacity based on the batteries’ microstructure and investigate the decisive parts of the microstructure through the use of explainable artificial intelligence (XAI) methods. Our study shows that even comparably small neural network architectures are capable of providing state-of-the-art prediction results. In addition to this, our XAI studies demonstrate that the models are using understandable human features while ignoring present artefacts.
在本研究中,我们将人工神经网络作为一种潜在的有效方法,用于确定不同孔隙率的锂离子电池电极的速率能力。锂离子电池的性能在很大程度上取决于其电极的微观结构(即层厚度和孔隙率)。根据特定应用定制微观结构是电池开发的关键过程。然而,利用实验或模拟来揭示微观结构与速率性能之间的复杂关联既费时又费钱。我们的方法通过对电极横截面的微观结构图像进行机器学习,提供了一种快速预测电池电极速率能力的方法。我们训练了多个模型,以便根据电池的微观结构预测特定容量,并通过使用可解释人工智能(XAI)方法研究微观结构的决定性部分。我们的研究表明,即使是相当小的神经网络架构也能提供最先进的预测结果。此外,我们的 XAI 研究还表明,这些模型使用了可理解的人类特征,同时忽略了当前的人工痕迹。
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引用次数: 0
Low-Computational Model to Predict Individual Temperatures of Cells within Battery Modules 预测电池模块内单个电池温度的低计算模型
IF 4 4区 化学 Q2 Engineering Pub Date : 2024-03-12 DOI: 10.3390/batteries10030098
Ali Abbas, Nassim Rizoug, R. Trigui, E. Redondo-Iglesias, S. Pélissier
Predicting the operating temperature of lithium-ion battery during different cycles is important when it comes to the safety and efficiency of electric vehicles. In this regard, it is vital to adopt a suitable modeling approach to analyze the thermal performance of a battery. In this paper, the temperature of lithium-ion NMC pouch battery has been investigated. A new formulation of lumped model based on the thermal resistance network is proposed. Unlike previous models that treated the battery as a single entity, the proposed model introduces a more detailed analysis by incorporating thermal interactions between individual cells and tabs within a single cell scenario, while also considering interactions between cells and insulators or gaps, located between the cells, within the module case. This enhancement allows for the precise prediction of temperature variations across different cells implemented within the battery module. In order to evaluate the accuracy of the prediction, a three-dimensional finite element model was adopted as a reference. The study was performed first on a single cell, then on modules composed of several cells connected in series, during different operating conditions. A comprehensive comparison between both models was conducted. The analysis focused on two main aspects, the accuracy of temperature predictions and the computational time required. Notably, the developed lumped model showed a significant capability to estimate cell temperatures within the modules. The thermal results revealed close agreement with the values predicted by the finite element model, while needing significantly lower computational time. For instance, while the finite element model took almost 21 h to predict the battery temperature during consecutive charge/discharge cycles of a 10-cell module, the developed lumped model predicted the temperature within seconds, with a maximum difference of 0.42 °C.
就电动汽车的安全性和效率而言,预测锂离子电池在不同循环期间的工作温度非常重要。因此,采用合适的建模方法来分析电池的热性能至关重要。本文研究了锂离子 NMC 袋式电池的温度。本文提出了一种基于热阻网络的块状模型新公式。与以往将电池视为单一实体的模型不同,本文提出的模型引入了更详细的分析,将单个电池和单个电池片之间的热相互作用纳入单个电池的情况中,同时还考虑了模块情况中电池和位于电池之间的绝缘体或间隙之间的相互作用。这一改进可以精确预测电池模块中不同电池单元之间的温度变化。为了评估预测的准确性,我们采用了一个三维有限元模型作为参考。研究首先在单个电池上进行,然后在不同工作条件下,在由多个电池串联组成的模块上进行。对两个模型进行了全面比较。分析主要集中在两个方面:温度预测的准确性和所需的计算时间。值得注意的是,所开发的叠加模型在估算模块内的电池温度方面表现出了很强的能力。热结果显示与有限元模型的预测值非常接近,而所需的计算时间却大大减少。例如,有限元模型预测 10 个电池模块在连续充放电周期中的电池温度需要近 21 小时,而所开发的叠加模型在几秒钟内就预测出了温度,最大差异为 0.42 °C。
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引用次数: 0
Sodium Citrate Electrolyte Additive to Improve Zinc Anode Behavior in Aqueous Zinc-Ion Batteries 柠檬酸钠电解质添加剂改善锌离子水电池中锌阳极的性能
IF 4 4区 化学 Q2 Engineering Pub Date : 2024-03-11 DOI: 10.3390/batteries10030097
Xin Liu, Liang Yue, Weixu Dong, Yifan Qu, Xianzhong Sun, Li‐Feng Chen
Despite features of cost-effectiveness, high safety, and superior capacity, aqueous zinc-ion batteries (ZIBs) have issues of uncontrolled dendritic cell failure and poor Zn utilization, resulting in inferior cycling reversibility. Herein, the environmentally friendly and naturally abundant sodium citrate (SC) was adopted as a dual-functional additive for ZnSO4-based (ZSO) electrolytes. Owing to the abundant hydrogen-bond donors and hydrogen-bond acceptors of SC, the Zn2+-solvation shell is interrupted to facilitate Zn desolvation, resulting in inhibited corrosion reactions. Additionally, sodium ions (Na+) from the SC additive with a lower effective reduction potential than that of zinc ions (Zn2+) form an electrostatic shield inhibiting the formation of initial surface protuberances and subsequent Zn dendrite growth. This assists in the Zn three-dimensional (3D) diffusion and deposition, thereby effectively enhancing cycling stability. Specifically, a long cycling lifespan (more than 760 h) of the Zn//Zn symmetric cell is achieved with a 2 M ZSO-1.0 SC electrolyte at a current density of 1 mA cm−2. When coupled with the NaV3O8·1.5 H2O (NVO) cathode, the full battery containing SC additive exhibited a capacity retention rate (40.0%) and a cycling life of 400 cycles at a current density of 1 A g−1 compared with that of pure ZnSO4 electrolyte (23.8%). This work provides a protocol for selecting an environmentally friendly and naturally abundant dual-functional electrolyte additive to achieve solvation shell regulation and Zn anode protection for the practical large-scale application of ZIBs.
尽管锌离子水电池(ZIBs)具有成本效益高、安全性高和容量大等特点,但它也存在树突状细胞失控和锌利用率低等问题,从而导致循环可逆性较差。在此,我们采用环境友好且天然丰富的柠檬酸钠(SC)作为 ZnSO4 基(ZSO)电解质的双功能添加剂。由于柠檬酸钠中含有丰富的氢键供体和氢键受体,Zn2+-溶胶壳被打断,从而促进了 Zn 的脱溶,从而抑制了腐蚀反应。此外,SC 添加剂中的钠离子(Na+)的有效还原电位低于锌离子(Zn2+)的有效还原电位,形成静电屏蔽,抑制了最初表面突起的形成和随后锌枝晶的生长。这有助于锌的三维(3D)扩散和沉积,从而有效提高了循环稳定性。具体来说,在电流密度为 1 mA cm-2 的条件下,使用 2 M ZSO-1.0 SC 电解液,Zn//Zn 对称电池可实现较长的循环寿命(超过 760 小时)。当与 NaV3O8-1.5 H2O(NVO)阴极耦合时,与纯 ZnSO4 电解液(23.8%)相比,含有 SC 添加剂的全电池在 1 A g-1 电流密度下的容量保持率(40.0%)和 400 次循环寿命均有所提高。这项工作为选择一种环境友好且天然丰富的双功能电解质添加剂提供了一种方案,以实现溶壳调节和锌阳极保护,从而实现 ZIB 的实际大规模应用。
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引用次数: 0
Effect of Mixing Intensity on Electrochemical Performance of Oxide/Sulfide Composite Electrolytes 混合强度对氧化物/硫化物复合电解质电化学性能的影响
IF 4 4区 化学 Q2 Engineering Pub Date : 2024-03-07 DOI: 10.3390/batteries10030095
J. Gerstenberg, Dominik Steckermeier, Arno Kwade, P. Michalowski
Despite the variety of solid electrolytes available, no single solid electrolyte has been found that meets all the requirements of the successor technology of lithium-ion batteries in an optimum way. However, composite hybrid electrolytes that combine the desired properties such as high ionic conductivity or stability against lithium are promising. The addition of conductive oxide fillers to sulfide solid electrolytes has been reported to increase ionic conductivity and improve stability relative to the individual electrolytes, but the influence of the mixing process to create composite electrolytes has not been investigated. Here, we investigate Li3PS4 (LPS) and Li7La3Zr2O12 (LLZO) composite electrolytes using electrochemical impedance spectroscopy and distribution of relaxation times. The distinction between sulfide bulk and grain boundary polarization processes is possible with the methods used at temperatures below 10 °C. We propose lithium transport through the space-charge layer within the sulfide electrolyte, which increases the conductivity. With increasing mixing intensities in a high-energy ball mill, we show an overlay of the enhanced lithium-ion transport with the structural change of the sulfide matrix component, which increases the ionic conductivity of LPS from 4.1 × 10−5 S cm−1 to 1.7 × 10−4 S cm−1.
尽管固态电解质种类繁多,但目前还没有发现一种固态电解质能以最佳方式满足锂离子电池后续技术的所有要求。不过,兼具高离子电导率或锂稳定性等理想特性的复合混合电解质前景广阔。据报道,在硫化物固体电解质中添加导电氧化物填料可提高离子电导率,并改善相对于单个电解质的稳定性,但尚未研究混合过程对创建复合电解质的影响。在此,我们利用电化学阻抗光谱和弛豫时间分布研究了 Li3PS4(LPS)和 Li7La3Zr2O12(LLZO)复合电解质。在温度低于 10 ℃ 的条件下,所使用的方法可以区分硫化物块体和晶界极化过程。我们认为锂通过硫化物电解质中的空间电荷层进行传输,从而增加了导电性。随着高能球磨机中混合强度的增加,我们发现锂离子传输的增强与硫化物基质成分的结构变化相叠加,从而使 LPS 的离子电导率从 4.1 × 10-5 S cm-1 增加到 1.7 × 10-4 S cm-1。
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引用次数: 0
Carbon-Free Cathode Materials Based on Titanium Compounds for Zn-Oxygen Aqueous Batteries 基于钛化合物的无碳阴极材料用于锌氧水电池
IF 4 4区 化学 Q2 Engineering Pub Date : 2024-03-06 DOI: 10.3390/batteries10030094
Jorge González-Morales, J. Mosa, Sho Ishiyama, N. Rosero-Navarro, Akira Miura, K. Tadanaga, Mario Aparicio
The impact of global warming has required the development of efficient new types of batteries. One of the most promising is Zn-O2 batteries because they provide the second biggest theoretical energy density, with relevant safety and a cycle of life long enough to be fitted for massive use. However, their industrial use is hindered by a series of obstacles, such as a fast reduction in the energy density after the initial charge and discharge cycles and a limited cathode efficiency or an elevated overpotential between discharge and charge. This work is focused on the synthesis of titanium compounds as catalyzers for the cathode of a Zn-O2 aqueous battery and their characterization. The results have shown a surface area of 350 m2/g after the elimination of the organic templates during heat treatment at 500 °C in air. Different thermal treatments were performed, tuning different parameters, such as intermediate treatment at 500 °C or the atmosphere used and the final temperature. Surface areas remain high for samples without an intermediate temperature step of 500 °C. Raman spectroscopy studies confirmed the nitridation of samples. SEM and XRD showed macro–meso-porosity and the presence of nitrogen, and the electrochemical evaluation confirmed the catalytic properties of this material in oxygen reaction reduction (ORR)/oxygen evolution reaction (OER) analysis and Zn-O2 battery tests.
全球变暖的影响要求开发高效的新型电池。其中最有前途的是锌-二氧化物电池,因为这种电池的理论能量密度仅次于锌-二氧化物电池,而且具有相关的安全性和足够长的寿命周期,适合大规模使用。然而,它们的工业应用受到一系列障碍的阻碍,例如在初始充放电循环后能量密度会迅速降低,阴极效率有限,或在放电和充电之间过电位升高。这项工作的重点是合成钛化合物作为 Zn-O2 水电池阴极的催化剂,并对其进行表征。结果表明,在 500 °C 的空气中进行热处理,消除有机模板后,其表面积为 350 m2/g。进行了不同的热处理,调整了不同的参数,如 500 °C 的中间处理或使用的气氛和最终温度。没有 500 °C 中间温度步骤的样品表面积仍然很高。拉曼光谱研究证实了样品的氮化。扫描电子显微镜(SEM)和 X 射线衍射仪(XRD)显示了大介孔和氮的存在,电化学评估证实了这种材料在氧反应还原(ORR)/氧进化反应(OER)分析和 Zn-O2 电池测试中的催化特性。
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引用次数: 0
Modification of Layered Cathodes of Sodium-Ion Batteries with Conducting Polymers 用导电聚合物改造钠离子电池的层状阴极
IF 4 4区 化学 Q2 Engineering Pub Date : 2024-03-06 DOI: 10.3390/batteries10030093
M. Á. Hidalgo, P. Lavela, J. Tirado, Manuel Aranda
Layered oxides exhibit interesting performance as positive electrodes for commercial sodium-ion batteries. Nevertheless, the replacement of low-sustainable nickel with more abundant iron would be desirable. Although it can be achieved in P2-Na2/3Ni2/9Fe2/9Mn5/9O2, its performance still requires further improvement. Many imaginative strategies such as surface modification have been proposed to minimize undesirable interactions at the cathode–electrolyte interface while facilitating sodium insertion in different materials. Here, we examine four different approaches based on the use of the electron-conductive polymer poly(3,4-ethylene dioxythiophene) (PEDOT) as an additive: (i) electrochemical in situ polymerization of the monomer, (ii) manual mixing with the active material, (iii) coating the current collector, and (iv) a combination of the latter two methods. As compared with pristine layered oxide, the electrochemical performance shows a particularly effective way of increasing cycling stability by using electropolymerization. Contrarily, the mixtures show less improvement, probably due to the heterogeneous distribution of oxide and polymer in the samples. In contrast with less conductive polyanionic cathode materials such as phosphates, the beneficial effects of PEDOT on oxide cathodes are not as much in rate performance as in inhibiting cycling degradation, due to the compactness of the electrodes without loss of electrical contact between active particles.
层状氧化物作为商用钠离子电池的正极,表现出令人感兴趣的性能。尽管如此,用更丰富的铁取代低可持续性的镍仍是可取的。虽然 P2-Na2/3Ni2/9Fe2/9Mn5/9O2 可以实现这一目标,但其性能仍需进一步提高。人们提出了许多富有想象力的策略,如表面改性,以尽量减少阴极-电解质界面上的不良相互作用,同时促进钠在不同材料中的插入。在此,我们研究了基于使用电子导电聚合物聚(3,4-乙烯二氧噻吩)(PEDOT)作为添加剂的四种不同方法:(i) 单体的电化学原位聚合,(ii) 与活性材料手动混合,(iii) 给集流器镀膜,以及 (iv) 后两种方法的组合。与原始的层状氧化物相比,电化学性能表明利用电聚合提高循环稳定性是一种特别有效的方法。相反,混合物的改善程度较低,这可能是由于样品中氧化物和聚合物的异质分布造成的。与导电性较差的聚阴离子阴极材料(如磷酸盐)相比,PEDOT 对氧化物阴极的有利影响不在于速率性能,而在于抑制循环降解,这是因为电极结构紧凑,活性颗粒之间不会失去电接触。
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引用次数: 0
Direct Recycling Technology for Spent Lithium-Ion Batteries: Limitations of Current Implementation 废旧锂离子电池的直接回收技术:当前实施的局限性
IF 4 4区 化学 Q2 Engineering Pub Date : 2024-02-28 DOI: 10.3390/batteries10030081
A. Pražanová, Zbyněk Plachý, Jan Kočí, Michael Fridrich, V. Knap
The significant deployment of lithium-ion batteries (LIBs) within a wide application field covering small consumer electronics, light and heavy means of transport, such as e-bikes, e-scooters, and electric vehicles (EVs), or energy storage stationary systems will inevitably lead to generating notable amounts of spent batteries in the coming years. Considering the environmental perspective, material resource sustainability, and terms of the circular economy, recycling represents a highly prospective strategy for LIB end-of-life (EOL) management. In contrast with traditional, large-scale, implemented recycling methods, such as pyrometallurgy or hydrometallurgy, direct recycling technology constitutes a promising solution for LIB EOL treatment with outstanding environmental benefits, including reduction of energy consumption and emission footprint, and weighty economic viability. This work comprehensively assesses the limitations and challenges of state-of-the-art, implemented direct recycling methods for spent LIB cathode and anode material treatment. The introduced approaches include solid-state sintering, electrochemical relithiation in organic and aqueous electrolytes, and ionothermal, solution, and eutectic relithiation methods. Since most direct recycling techniques are still being developed and implemented primarily on a laboratory scale, this review identifies and discusses potential areas for optimization to facilitate forthcoming large-scale industrial implementation.
锂离子电池(LIB)的应用领域十分广泛,包括小型消费电子产品、轻型和重型交通工具(如电动自行车、电动摩托车和电动汽车)或固定式储能系统等,在未来几年内,锂离子电池不可避免地会产生大量废电池。从环境角度、材料资源可持续性和循环经济的角度考虑,回收利用是一种极具前景的 LIB 报废(EOL)管理策略。与火法冶金或湿法冶金等传统的大规模回收方法相比,直接回收技术是一种前景广阔的 LIB 报废处理解决方案,具有突出的环境效益(包括减少能源消耗和排放足迹)和重要的经济可行性。这项工作全面评估了最先进的直接回收方法在处理锂电子电池阴极和阳极废料方面的局限性和挑战。所介绍的方法包括固态烧结、有机和水性电解质中的电化学再结晶以及离子热、溶液和共晶再结晶方法。由于大多数直接再循环技术仍主要在实验室规模上开发和实施,本综述确定并讨论了潜在的优化领域,以促进即将到来的大规模工业实施。
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引用次数: 0
A Review of the Technical Challenges and Solutions in Maximising the Potential Use of Second Life Batteries from Electric Vehicles 最大限度利用电动汽车二次电池的技术挑战和解决方案综述
IF 4 4区 化学 Q2 Engineering Pub Date : 2024-02-27 DOI: 10.3390/batteries10030079
F. Salek, S. Resalati, Meisam Babaie, P. Henshall, Denise Morrey, Lei Yao
The increasing number of electric vehicles (EVs) on the roads has led to a rise in the number of batteries reaching the end of their first life. Such batteries, however, still have a capacity of 75–80% remaining, creating an opportunity for a second life in less power-intensive applications. Utilising these second-life batteries (SLBs) requires specific preparation, including grading the batteries based on their State of Health (SoH); repackaging, considering the end-use requirements; and the development of an accurate battery-management system (BMS) based on validated theoretical models. In this paper, we conduct a technical review of mathematical modelling and experimental analyses of SLBs to address existing challenges in BMS development. Our review reveals that most of the recent research focuses on environmental and economic aspects rather than technical challenges. The review suggests the use of equivalent-circuit models with 2RCs and 3RCs, which exhibit good accuracy for estimating the performance of lithium-ion batteries during their second life. Furthermore, electrochemical impedance spectroscopy (EIS) tests provide valuable information about the SLBs’ degradation history and conditions. For addressing calendar-ageing mechanisms, electrochemical models are suggested over empirical models due to their effectiveness and efficiency. Additionally, generating cycle-ageing test profiles based on real application scenarios using synthetic load data is recommended for reliable predictions. Artificial intelligence algorithms show promise in predicting SLB cycle-ageing fading parameters, offering significant time-saving benefits for lab testing. Our study emphasises the importance of focusing on technical challenges to facilitate the effective utilisation of SLBs in stationary applications, such as building energy-storage systems and EV charging stations.
随着电动汽车(EV)在道路上行驶的数量不断增加,电池寿命到期的数量也随之增加。然而,这些电池仍有 75-80% 的剩余容量,这就为电力密集度较低的应用创造了二次利用的机会。利用这些二次寿命电池(SLBs)需要进行特定的准备工作,包括根据电池的健康状况(SoH)对电池进行分级;考虑最终用途要求重新包装;以及根据经过验证的理论模型开发精确的电池管理系统(BMS)。在本文中,我们对 SLB 的数学建模和实验分析进行了技术回顾,以应对 BMS 开发中的现有挑战。我们的综述显示,最近的研究大多侧重于环境和经济方面,而不是技术挑战。综述建议使用具有 2RC 和 3RC 的等效电路模型,这些模型在估计锂离子电池第二次寿命期间的性能方面表现出良好的准确性。此外,电化学阻抗谱(EIS)测试可提供有关锂离子电池降解历史和条件的宝贵信息。为解决历时老化机制问题,建议采用电化学模型,而不是经验模型,因为它们既有效又高效。此外,为了进行可靠的预测,建议使用合成负载数据生成基于真实应用场景的循环老化测试剖面图。人工智能算法有望预测 SLB 周期老化衰减参数,为实验室测试节省大量时间。我们的研究强调了关注技术挑战的重要性,以促进 SLB 在建筑储能系统和电动汽车充电站等固定应用中的有效利用。
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引用次数: 0
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