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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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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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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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coated LiNi_0.5Mn_1.5O₄ as the high performance cathode materials for lithium-ionbatteries

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 LiNi_0.5Mn_1.5O₄ lithium-ion conductor coating

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A modified pulse charging method for lithium-ion batteries by considering stress evolution, charging

Yanfei ZHAO, Bo LU, Yicheng SONG, Junqian ZHANG

《结构与土木工程前沿（英文）》 2019年第13卷第2期页码 294-302 doi: 10.1007/s11709-018-0460-z

摘要： The stress evolution, total charging time and capacity utilization of pulse charging (PC) method are investigated in this paper. It is found that compared to the conventional constant current (CC) charging method, the PC method can accelerate the charging process but will inevitably cause an increase in stress and a decrease in capacity. The charging speed for PC method can be estimated by the mean current. By introducing stress control, a modified PC method called the PCCC method, which starts with a PC operation followed by a CC operation, is proposed. The PCCC method not only can accelerate charging process but also can avoid the stress raising and capacity loss occurring in the PC method. Furthermore, the optimal pulsed current density and switch time in the PCCC method is also discussed.

关键词： fast charging method pulse charging stress evolution charging time capacity utilization

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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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下一代锂电池在能源化学工程方面的研究进展 Review

张学强, 赵辰孜, 黄佳琦, 张强

《工程（英文）》 2018年第4卷第6期页码 831-847 doi: 10.1016/j.eng.2018.10.008

摘要：

锂离子电池（LIB）对当今人们的生活产生了深远的影响。然而由于插层化学本质上的限制，锂离子电池的能量密度已接近理论上限，难以满足人们在多方面日益增长的储能需求，如便携式电子设备、电动汽车和大规模储能。因此，下一代锂（Li）电池正在广泛研究中。其中，采用金属锂作为负极，插层或转化型材料作为正极的下一代锂电池是最受关注的体系，因其具有高能量密度和巨大的商业化潜力。近年来，随着材料和反应机理方面研究的深入以及技术手段的进步，锂电池取得了不断的发展。本文从下一代锂电池的电解液/ 电解质的设计出发，从能源化学工程的角度梳理锂离子电池、锂硫电池和锂空电池中的关键科学问题和研究进展，并阐述下一代锂电池未来的发展方向。下一代锂电池有望促进人类文明的可持续发展。

关键词：锂离子电池锂硫电池锂空电池锂金属固态电池电池化学电解质

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锂离子电池研究获2019年诺贝尔化学奖

Sean O'Neill

《工程（英文）》 2020年第6卷第5期页码 487-488 doi: 10.1016/j.eng.2020.03.010

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

《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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Direct pyrolysis to convert biomass to versatile 3D carbon nanotubes/mesoporous carbon architecture: conversion mechanism and electrochemical performance

《化学科学与工程前沿（英文）》 2023年第17卷第6期页码 679-690 doi: 10.1007/s11705-022-2266-8

摘要： The massive conversion of resourceful biomass to carbon nanomaterials not only opens a new avenue to effective and economical disposal of biomass, but provides a possibility to produce highly valued functionalized carbon-based electrodes for energy storage and conversion systems. In this work, biomass is applied to a facile and scalable one-step pyrolysis method to prepare three-dimensional (3D) carbon nanotubes/mesoporous carbon architecture, which uses transition metal inorganic salts and melamine as initial precursors. The role of each employed component is investigated, and the electrochemical performance of the attained product is explored. Each component and precise regulation of their dosage is proven to be the key to successful conversion of biomass to the desired carbon nanomaterials. Owing to the unique 3D architecture and integration of individual merits of carbon nanotubes and mesoporous carbon, the as-synthesized carbon nanotubes/mesoporous carbon hybrid exhibits versatile application toward lithium-ion batteries and Zn-air batteries. Apparently, a significant guidance on effective conversion of biomass to functionalized carbon nanomaterials can be shown by this work.

关键词： biomass direct pyrolysis 3D CNTs/MC hybrid lithium-ion batteries Zn-air batteries

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

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

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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标题作者时间类型操作

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

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

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

期刊论文

coated LiNi_0.5Mn_1.5O₄ as the high performance cathode materials for lithium-ionbatteries

Shifeng YANG, Wenfeng REN, Jian CHEN

期刊论文

A modified pulse charging method for lithium-ion batteries by considering stress evolution, charging

Yanfei ZHAO, Bo LU, Yicheng SONG, Junqian ZHANG

期刊论文

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

期刊论文

下一代锂电池在能源化学工程方面的研究进展

张学强, 赵辰孜, 黄佳琦, 张强

期刊论文

锂离子电池研究获2019年诺贝尔化学奖

Sean O'Neill

期刊论文

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

期刊论文

Direct pyrolysis to convert biomass to versatile 3D carbon nanotubes/mesoporous carbon architecture: conversion mechanism and electrochemical performance

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

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

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

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

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

期刊论文