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Lithium-based draw solute for forward osmosis to treat wastewater discharged from lithium-ion battery

《化学科学与工程前沿（英文）》 2022年 第16卷 第5期   页码 755-763 doi: 10.1007/s11705-022-2137-3

摘要： As draw solute is the core element of forward osmosis (FO) technology, here Li-Bet-Tf2N synthesized from a customized ionic liquid betainium bis(trifluoromethylsulfonyl)imide ([Hbet][Tf2N]) and Li2CO3 recovered from lithium-ion battery (LIB) wastes is proposed as a novel draw solute to treat Li+-containing wastewater from LIB manufacturing through FO filtration. Having high dissociation ability and an extended structure, Li-Bet-Tf2N generates a sufficiently high osmotic pressure to drive the FO filtration efficiently along with insignificant reverse solute diffusion. Li-Bet-Tf2N produces a water flux of 21.3 L·(m2·h)−1 at 1.0 mol∙L–1 against deionized water, surpassing conventional NaCl and MgCl2 draw solutes with a higher water recovery efficiency and a smaller solute loss. Li-Bet-Tf2N induces a more stable and higher water permeation flux with a 10.0% water flux decline than NaCl and MgCl2 for which the water fluxes decline 16.7% and 16.4%, respectively, during the treatment of 2000 mg∙L–1 Li+-containing wastewater for 12 h. More remarkably, unlike other draw solutes which require intensive energy input and complicated processes in recycling, Li-Bet-Tf2N is easily separated from water via solvent extraction. Reproducible results are achieved with the recycled Li-Bet-Tf2N. Li-Bet-Tf2N thus demonstrates a novel class of draw solute with great potentials to treat wastewater economically.

关键词： forward osmosis     lithium-ion battery     draw solution     lithium-containing wastewater     water treatment    

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Machine learning and neural network supported state of health simulation and forecasting model for lithium-ionbattery

《能源前沿（英文）》 doi: 10.1007/s11708-023-0891-7

摘要： As the intersection of disciplines deepens, the field of battery modeling is increasingly employing various artificial intelligence (AI) approaches to improve the efficiency of battery management and enhance the stability and reliability of battery operation. This paper reviews the value of AI methods in lithium-ion battery health management and in particular analyses the application of machine learning (ML), one of the many branches of AI, to lithium-ion battery state of health (SOH), focusing on the advantages and strengths of neural network (NN) methods in ML for lithium-ion battery SOH simulation and prediction. NN is one of the important branches of ML, in which the application of NNs such as backpropagation NN, convolutional NN, and long short-term memory NN in SOH estimation of lithium-ion batteries has received wide attention. Reports so far have shown that the utilization of NN to model the SOH of lithium-ion batteries has the advantages of high efficiency, low energy consumption, high robustness, and scalable models. In the future, NN can make a greater contribution to lithium-ion battery management by, first, utilizing more field data to play a more practical role in health feature screening and model building, and second, by enhancing the intelligent screening and combination of battery parameters to characterize the actual lithium-ion battery SOH to a greater extent. The in-depth application of NN in lithium-ion battery SOH will certainly further enhance the science, reliability, stability, and robustness of lithium-ion battery management.

关键词： machine learning     lithium-ion battery     state of health     neural network     artificial intelligence    

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Preparation of biomass-derived carbon loaded with MnO as lithium-ion battery anode for improving its

《化学科学与工程前沿（英文）》 2023年 第18卷 第1期 doi: 10.1007/s11705-023-2376-y

摘要： Biomass-derived carbon materials for lithium-ion batteries emerge as one of the most promising anodes from sustainable perspective. However, improving the reversible capacity and cycling performance remains a long-standing challenge. By combining the benefits of K2CO3 activation and KMnO4 hydrothermal treatment, this work proposes a two-step activation method to load MnO2 charge transfer onto biomass-derived carbon (KAC@MnO2). Comprehensive analysis reveals that KAC@MnO2 has a micro-mesoporous coexistence structure and uniform surface distribution of MnO2, thus providing an improved electrochemical performance. Specifically, KAC@MnO2 exhibits an initial charge-discharge capacity of 847.3/1813.2 mAh·g–1 at 0.2 A·g–1, which is significantly higher than that of direct pyrolysis carbon and K2CO3 activated carbon, respectively. Furthermore, the KAC@MnO2 maintains a reversible capacity of 652.6 mAh·g–1 after 100 cycles. Even at a high current density of 1.0 A·g–1, KAC@MnO2 still exhibits excellent long-term cycling stability and maintains a stable reversible capacity of 306.7 mAh·g–1 after 500 cycles. Compared with reported biochar anode materials, the KAC@MnO2 prepared in this work shows superior reversible capacity and cycling performance. Additionally, the Li+ insertion and de-insertion mechanisms are verified by ex situ X-ray diffraction analysis during the charge-discharge process, helping us better understand the energy storage mechanism of KAC@MnO2.

关键词： biomass-derived carbon     MnO2     lithium-ion batteries     anode material     high reversible capacity    

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anthraquinone-based polyimide enclosed SnO/reduced graphene oxide composite as high-performance anode for lithium-ionbattery

《化学科学与工程前沿（英文）》 2023年 第17卷 第9期   页码 1231-1243 doi: 10.1007/s11705-023-2306-z

摘要： The cycling stability of SnO2 anode as lithium-ion battery is poor due to volume expansion. Polyimide coatings can effectively confine the expansion of SnO2. However, linear polyimides are easily dissolved in ester electrolytes and their carbonyls is not fully utilized during charging/discharging process. Herein, the SnO2 enclosed with anthraquinone-based polyimide/reduced graphene oxide composite was prepared by self-assembly. Carbonyls from the anthraquinone unit provide fully available active sites to react with Li+, improving the utilization of carbonyl in the polyimide. More exposed carbonyl active sites promote the conversion of Sn to SnO2 with electrode gradual activation, leading to an increase in reversible capacity during the charge/discharge cycle. In addition, the introduction of reduced graphene oxide cannot only improve the stability of polyimide in the electrolyte, but also build fast ion and electron transport channels for composite electrodes. Due to the multiple effects of anthraquinone-based polyimide and the synergistic effect of reducing graphene oxide, the composite anode exhibits a maximum reversible capacity of 1266 mAh·g−1 at 0.25 A·g−1, and maintains an excellent specific capacity of 983 mAh·g−1 after 200 cycles. This work provides a new strategy for the synergistic modification of SnO2.

关键词： anthraquinone-based polyimide     multi-effect     tin dioxide     reduced graphene oxide     lithium-ion battery    

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A comparative study on polypropylene separators coated with different inorganic materials for lithium-ion

Linghui Yu, Jiansong Miao, Yi Jin, Jerry Y.S. Lin

《化学科学与工程前沿（英文）》 2017年 第11卷 第3期   页码 346-352 doi: 10.1007/s11705-017-1648-9

摘要： Coating commercial porous polyolefin separators with inorganic materials can improve the thermal stability of the polyolefin separators and hence improve the safety of lithium-ion batteries. Several different inorganic materials have been studied for the coating. However, there lacks a study on how different inorganic materials affect the properties of separators, in terms of thermal stability and cell performance. Herein, we present such a study on coating a commercial polypropylene separator with four inorganic materials, i.e., Al O , SiO , ZrO and zeolite. All inorganic coatings have improved thermal stability of the separators although with differences. The coating layers add 28%–45% of electrical resistance compared with the pure polypropylene separator, but all the cells prepared with the coated polypropylene separators have the same electrical chemical performance as the uncoated separator in terms of rate capability and capacities at different temperatures.

关键词： lithium-ion battery     battery safety     composite separator     porosity     tortuosity    

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Lithium-ion modified cellulose as a water-soluble binder for Li-O battery

《能源前沿（英文）》 2022年 第16卷 第3期   页码 502-508 doi: 10.1007/s11708-021-0750-3

摘要： An environment-friendly, water-soluble, and cellulose based binder (lithium carboxymethyl cellulose, CMC-Li) was successfully synthesized by using Li+ to replace Na+ in the commercial sodium carboxymethyl cellulose (CMC-Na). Li-O2 batteries based on the CMC-Li binder present enhanced discharge specific capacities (11151 mA·h/g at 100 mA/g) and a superior cycling stability (100 cycles at 200 mA/g) compared with those based on the CMC-Na binder. The enhanced performance may originate from the electrochemical stability of the CMC-Li binder and the ion-conductive nature of CMC-Li, which promotes the diffusion of Li+ in the cathode and consequently retards the increase of charge transfer resistance of the cathode during cycling. The results show that the water-soluble CMC-Li binder can be a green substitute for poly(vinylidene fluoride) (PVDF) binder based on organic solvent in the lithium oxygen batteries (LOBs).

关键词： cellulose     binder     specific capacity     cyclabi- lity     lithium-oxygen batteries    

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Modeling and optimization of an enhanced battery thermal management system in electric vehicles

Mao LI, Yuanzhi LIU, Xiaobang WANG, Jie ZHANG

《机械工程前沿（英文）》 2019年 第14卷 第1期   页码 65-75 doi: 10.1007/s11465-018-0520-z

摘要： This paper models and optimizes an air-based battery thermal management system (BTMS) in a battery module with 36 battery lithium-ion cells. A design of experiments is performed to study the effects of three key parameters (i.e., mass flow rate of cooling air, heat flux from the battery cell to the cooling air, and passage spacing size) on the battery thermal performance. Three metrics are used to evaluate the BTMS thermal performance, including (i) the maximum temperature in the battery module, (ii) the temperature uniformity in the battery module, and (iii) the pressure drop. It is found that (i) increasing the total mass flow rate may result in a more non-uniform distribution of the passage mass flow rate among passages, and (ii) a large passage spacing size may worsen the temperature uniformity on the battery walls. Optimization is also performed to optimize the passage spacing size. Results show that the maximum temperature difference of the cooling air in passages is reduced from 23.9 to 2.1 K by 91.2%, and the maximum temperature difference among the battery cells is reduced from 25.7 to 6.4 K by 75.1%.

关键词： thermal management     electric vehicle     lithium-ion battery     temperature uniformity     design optimization    

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coated LiNi0.5Mn1.5O4 as the high performance cathode materials for lithium-ion

Shifeng YANG, Wenfeng REN, Jian CHEN

《能源前沿（英文）》 2017年 第11卷 第3期   页码 374-382 doi: 10.1007/s11708-017-0494-2

摘要： The preparation of Li SiO -coated LiNi Mn O materials by sintering the SiO -coated nickel-manganese oxides with lithium salts using abundant and low-cost sodium silicate as the silicon source was reported. The samples were characterized by X-ray diffraction, scanning electron microscopy and transmission electron microscopy. It was found that a uniform and complete SiO coating layer could be obtained at a suitable pH value of 10, which transformed to a good Li SiO coating layer afterwards. When used as the cathode materials for lithium-ion batteries, the Li SiO -coated LiNi Mn O samples deliver a better electrochemical performance in terms of the discharge capacity, rate capability, and cycling stability than that of the pristine material. It can still deliver 111.1 mAh/g at 20 C after 300 cycles, with a retention ratio of 93.1% of the stable capacity, which is far beyond that of the pristine material (101.3 mAh/g, 85.6%).

关键词： lithium-ion batteries     cathode material     LiNi0.5Mn1.5O4     lithium-ion conductor     coating    

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基于液冷的电池热管理系统快充-冷却耦合规划方法 Article

陈思琦, 包能胜, Akhil Garg, 彭雄斌, 高亮

《工程（英文）》 2021年 第7卷 第8期   页码 1165-1176 doi: 10.1016/j.eng.2020.06.016

摘要：

高效的快速充电技术对电动汽车行驶里程的拓展十分重要。然而，锂离子电池在大电流充电倍率下会大量产热。为解决这一问题，急需一种高效的快速充电-冷却规划方法。此次研究针对锂离子电池组的快速充电过程，设计了一种配有微流道的基于液冷的热管理系统。基于81组实验数据，提出了一种基于神经网络的回归模型，由三个考虑以下输出的子模型构成：最高温度、温度标准差及功耗。训练后的子模型均呈现出较高的测试准确性（99.353%、97.332%和98.381%）。此回归模型用于预测一个设计方案全集的三个输出参数，此全集由不同充电阶段的充电电流倍率[0.5C、1C、1.5C、2C和2.5C（1C = 5 A）]，以及不同的冷却液流量（0.0006 kg·s-1、0.0012 kg·s-1和0.0018 kg·s-1）组成。最终从预测得到的设计方案全集中筛选出一组最优过程方案，并经实验得到了验证。结果表明在功耗低于0.02 J的情况下电池组荷电状态（SOC）值经15 min充电后增长了0.5。同时最高温度和温度标准差可分别控制在33.35 ℃和0.8 ℃以内。本文所提出的方法可供电动汽车行业在实际快速充电工况下使用。此外，可以基于实验数据预测最佳快速充电-冷却计划，从而显著提高充电过程设计的效率，并控制冷却过程中的能耗。

关键词： 锂离子电池组     快速充电     神经网络回归     规划     荷电状态     功耗    

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Two-phase early prediction method for remaining useful life of lithium-ion batteries based on a neural

《能源前沿（英文）》 doi: 10.1007/s11708-023-0906-4

摘要： Lithium-ion batteries (LIBs) are widely used in transportation, energy storage, and other fields. The prediction of the remaining useful life (RUL) of lithium batteries not only provides a reference for health management but also serves as a basis for assessing the residual value of the battery. In order to improve the prediction accuracy of the RUL of LIBs, a two-phase RUL early prediction method combining neural network and Gaussian process regression (GPR) is proposed. In the initial phase, the features related to the capacity degradation of LIBs are utilized to train the neural network model, which is used to predict the initial cycle lifetime of 124 LIBs. The Pearson coefficient’s two most significant characteristic factors and the predicted normalized lifetime form a 3D space. The Euclidean distance between the test dataset and each cell in the training dataset and validation dataset is calculated, and the shortest distance is considered to have a similar degradation pattern, which is used to determine the initial Dual Exponential Model (DEM). In the second phase, GPR uses the DEM as the initial parameter to predict each test set’s early RUL (ERUL). By testing four batteries under different working conditions, the RMSE of all capacity estimation is less than 1.2%, and the accuracy percentage (AP) of remaining life prediction is more than 98%. Experiments show that the method does not need human intervention and has high prediction accuracy.

关键词： lithium-ion batteries     RUL prediction     double exponential model     neural network     Gaussian process regression (GPR)    

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电池安全——从锂离子电池到固态电池

禹习谦, 陈汝颂, 甘露雨, 李泓, 陈立泉

《工程（英文）》 2023年 第21卷 第2期   页码 9-14 doi: 10.1016/j.eng.2022.06.022

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A review on the development of electrolytes for lithium-based batteries for low temperature applications

《能源前沿（英文）》 2023年 第17卷 第1期   页码 43-71 doi: 10.1007/s11708-022-0853-5

摘要： The aerospace industry relies heavily on lithium-ion batteries in instrumentation such as satellites and land rovers. This equipment is exposed to extremely low temperatures in space or on the Martian surface. The extremely low temperatures affect the discharge characteristics of the battery and decrease its available working capacity. Various solvents, cosolvents, additives, and salts have been researched to fine tune the conductivity, solvation, and solid-electrolyte interface forming properties of the electrolytes. Several different resistive phenomena have been investigated to precisely determine the most limiting steps during charge and discharge at low temperatures. Longer mission lifespans as well as self-reliance on the chemistry are now highly desirable to allow low temperature performance rather than rely on external heating components. As Martian rovers are equipped with greater instrumentation and demands for greater energy storage rise, new materials also need to be adopted involving next generation lithium-ion chemistry to increase available capacity. With these objectives in mind, tailoring of the electrolyte with higher-capacity materials such as lithium metal and silicon anodes at low temperatures is of high priority. This review paper highlights the progression of electrolyte research for low temperature performance of lithium-ion batteries over the previous several decades.

关键词： electrolyte     lithium-ion     low temperature     aerospace     solid-electrolyte interface    

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Highly selective metal recovery from spent lithium-ion batteries through stoichiometric hydrogen ion

Weiguang Lv, Xiaohong Zheng, Li Li, Hongbin Cao, Yi Zhang, Renjie Chen, Hancheng Ou, Fei Kang, Zhi Sun

《化学科学与工程前沿（英文）》 2021年 第15卷 第5期   页码 1243-1256 doi: 10.1007/s11705-020-2029-3

摘要： Spent lithium-ion battery recycling has attracted significant attention because of its importance in regard to the environment and resource importance. Traditional hydrometallurgical methods usually leach all valuable metals and subsequently extract target meals to prepare corresponding materials. However, Li recovery in these processes requires lengthy operational procedures, and the recovery efficiency is low. In this research, we demonstrate a method to selectively recover lithium before the leaching of other elements by introducing a hydrothermal treatment. Approximately 90% of Li is leached from high-Ni layered oxide cathode powders, while consuming a nearly stoichiometric amount of hydrogen ions. With this selective recovery of Li, the transition metals remain as solid residue hydroxides or oxides. Furthermore, the extraction of Li is found to be highly dependent on the content of transition metals in the cathode materials. A high leaching selectivity of Li (>98%) and nearly 95% leaching efficiency of Li can be reached with LiNi Co Mn O . In this case, both the energy and material consumption during the proposed Li recovery is significantly decreased compared to traditional methods; furthermore, the proposed method makes full use of H to leach Li . This research is expected to provide new understanding for selectively recovering metal from secondary resources.

关键词： recycling     spent LIBs     selective recovery     hydrothermal treatment    

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Preparation and lithium storage performances of g-C

Zhengxu BIAN, Zehua TANG, Jinfeng XIE, Junhao ZHANG, Xingmei GUO, Yuanjun LIU, Aihua YUAN, Feng ZHANG, Qinghong KONG

《能源前沿（英文）》 2020年 第14卷 第4期   页码 759-766 doi: 10.1007/s11708-020-0810-0

摘要： As the anode material of lithium-ion battery, silicon-based materials have a high theoretical capacity, but their volume changes greatly in the charging and discharging process. To ameliorate the volume expansion issue of silicon-based anode materials, g-C N /Si nanocomposites are prepared by using the magnesium thermal reduction technique. It is well known that g-C N /Si nanocomposites can not only improve the electronic transmission ability, but also ameliorate the physical properties of the material for adapting the stress and strain caused by the volume expansion of silicon in the lithiation and delithiation process. When g-C N /Si electrode is evaluated, the initial discharge capacity of g-C N /Si nanocomposites is as high as 1033.3 mAh/g at 0.1 A/g, and its reversible capacity is maintained at 548 mAh/g after 400 cycles. Meanwhile, the improved rate capability is achieved with a relatively high reversible specific capacity of 218 mAh/g at 2.0 A/g. The superior lithium storage performances benefit from the unique g-C N /Si nanostructure, which improves electroconductivity, reduces volume expansion, and accelerates lithium-ion transmission compared to pure silicon.

关键词： magnesium thermal reduction     g-C3N4/Si nanocomposites     volume expansion     electroconductivity     lithium-ion battery    

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enriched CoS@rGO aerogel pseudocapacitive anode and biomass-derived porous carbon cathode for advanced lithium-ion

《化学科学与工程前沿（英文）》 2021年 第15卷 第6期   页码 1500-1513 doi: 10.1007/s11705-021-2086-2

摘要： As a hybrid energy storage device of lithium-ion batteries and supercapacitors, lithium-ion capacitors have the potential to meet the demanding needs of energy storage equipment with both high power and energy density. In this work, to solve the obstacle to the application of lithium-ion capacitors, that is, the balancing problem of the electrodes kinetic and capacity, two electrodes are designed and adequately matched. For the anode, we introduced in situ carbon-doped and surface-enriched unsaturated sulfur into the graphene conductive network to prepare transition metal sulfides, which enhances the performance with a faster lithium-ion diffusion and dominant pseudocapacitive energy storage. Therefore, the lithium-ion capacitors anode material delivers a remarkable capacity of 810 mAh∙g–1 after 500 cycles at 1 A∙g–1. On the other hand, the biomass-derived porous carbon as the cathode also displays a superior capacity of 114.2 mAh∙g–1 at 0.1 A∙g–1. Benefitting from the appropriate balance of kinetic and capacity between two electrodes, the lithium-ion capacitors exhibits superior electrochemical performance. The assembled lithium-ion capacitors demonstrate a high energy density of 132.9 Wh∙kg–1 at the power density of 265 W∙kg–1, and 50.0 Wh∙kg–1 even at 26.5 kW∙kg–1. After 10000 cycles at 1 A∙g–1, lithium-ion capacitors still demonstrate the high energy density retention of 81.5%.

关键词： in-situ carbon-doped     surface unsaturated sulfur enriched     pseudocapacitive energy storage     biomass-derived carbon     lithium-ion capacitors    

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标题 作者 时间 类型 操作

Lithium-based draw solute for forward osmosis to treat wastewater discharged from lithium-ion battery

期刊论文

Machine learning and neural network supported state of health simulation and forecasting model for lithium-ionbattery

期刊论文

Preparation of biomass-derived carbon loaded with MnO as lithium-ion battery anode for improving its

期刊论文

anthraquinone-based polyimide enclosed SnO/reduced graphene oxide composite as high-performance anode for lithium-ionbattery

期刊论文

A comparative study on polypropylene separators coated with different inorganic materials for lithium-ion

Linghui Yu, Jiansong Miao, Yi Jin, Jerry Y.S. Lin

期刊论文

Lithium-ion modified cellulose as a water-soluble binder for Li-O battery

期刊论文

Modeling and optimization of an enhanced battery thermal management system in electric vehicles

Mao LI, Yuanzhi LIU, Xiaobang WANG, Jie ZHANG

期刊论文

coated LiNi0.5Mn1.5O4 as the high performance cathode materials for lithium-ion

Shifeng YANG, Wenfeng REN, Jian CHEN

期刊论文

基于液冷的电池热管理系统快充-冷却耦合规划方法

陈思琦, 包能胜, Akhil Garg, 彭雄斌, 高亮

期刊论文

Two-phase early prediction method for remaining useful life of lithium-ion batteries based on a neural

期刊论文

电池安全——从锂离子电池到固态电池

禹习谦, 陈汝颂, 甘露雨, 李泓, 陈立泉

期刊论文

A review on the development of electrolytes for lithium-based batteries for low temperature applications

期刊论文

Highly selective metal recovery from spent lithium-ion batteries through stoichiometric hydrogen ion

Weiguang Lv, Xiaohong Zheng, Li Li, Hongbin Cao, Yi Zhang, Renjie Chen, Hancheng Ou, Fei Kang, Zhi Sun

期刊论文

Preparation and lithium storage performances of g-C

Zhengxu BIAN, Zehua TANG, Jinfeng XIE, Junhao ZHANG, Xingmei GUO, Yuanjun LIU, Aihua YUAN, Feng ZHANG, Qinghong KONG

期刊论文

enriched CoS@rGO aerogel pseudocapacitive anode and biomass-derived porous carbon cathode for advanced lithium-ion

期刊论文