Reuse of nickel recovered from spent Ni–Cd batteries for the preparation of C/Ni and C/Ni/Pd layered electrodes for energy sources

Nickel recovered in the recycling process of Ni–Cd batteries was used as a main component of bath for electrodeposition of nickel onto carbon fabric in order to obtain C/Ni composite. A part of the obtained composite was additionally coated with a thin layer of palladium (C/Ni/Pd composite). All the materials were investigated to assess the possibility of their use in the processes of electrochemical storage (sorption/desorption) of hydrogen and electrochemical oxidation of methanol. The obtained results showed the composites to be active electrode materials in these processes. The electrodes exhibited high activity and cyclability, especially in the process of methanol oxidation due to electrocatalytic activity of both nickel deposited onto carbon fabric and the outer layer of porous palladium coating nickel substrate.     

废旧电池的管理及处置研究

世界电池产量的一半来自中国内地,中国的电池消费能力居世界首位,废旧电池的随意丢弃和处置方式不当都会造成环境污染.中国的回收现状亟待改善,寻找安全科学的处理方法,使电池循环利用,有害物质无害化,并产生经济效益.调研了国内外废旧电池管理及处置现状,对处理废旧电池的成本、经济效益、环境效益、社会效益进行了阐述,总结了国内外废旧电池处理处置的法律法规现状,针对中国废旧电池处理过程中存在的问题提出相关建议,为对废旧电池的科学管理提供决策支持.     

我国废电池的回收与处理

本文详细介绍了国内外常见的各种废电池的种类、有害成分，处理方法，分析了目前我国在度电池回收处理过程中所存在的诸多问题，并有针对性的提出建议。     

纳米储氢材料贮存使用安全评估方法研究

储氢材料贮存使用的安全可靠性是安全工程和可靠性领域中的特殊问题 ,纳米储氢材料的使用 ,其安全性和贮存可靠性同时占有重要地位。笔者依据纳米储氢材料使用和在正常贮存状态下的失效特点 ,应用Poisson过程理论建立纳米储氢材料使用和贮存安全性评估数学模型和统计分析方法 ,给出了在一定置信度下纳米储氢材料贮存寿命与可靠度之间的关系表达式。为纳米储氢材料和新型能源材料研究和使用等提供了理论基础和应用控制的方法。     

铅蓄电池企业废气中铅及其化合物便携式XRF检测方法

在企业污染源现场实现污染物排放浓度水平的快速判定和超标风险筛查,对生态环境管理部门提高执法效率、企业提高环境管理水平意义重大。铅是一种对人体危害极大的有毒重金属,目前缺少含铅废气中铅及其化合物的便携式直读检测设备和检测方法。探索性地将X射线荧光光谱(XRF)法应用于铅蓄电池企业含铅废气中铅及其化合物的便携式快速、直读检测。研究结果表明,基于XRF的面密度法适用于铅蓄电池企业含铅废气处理设施后铅及其化合物的快速、直读检测,相对国标方法具有快速、直读、对样品无损、便于复测等特点,可用于铅及其化合物排放浓度水平的快速判定和超标风险筛查。     

废旧干电池的环境污染防治及回收利用

介绍了各种干电池的基本化学组成，分析了废旧干电池污染环境的主要途径及对人类的危害，并就回收利用问题提出建议。     

一种新型的清洁能源——燃料电池

燃料电池高效率、无污染、建设周期短、易维护以及低成本的特点被受人们关注。本文介绍了各种类型燃料电池(碱性燃料电池、熔融碳酸盐燃料电池、固体氧化物燃料电池、磷酸燃料电池及质子交换膜燃料电池)的技术进展及其发展现状,对燃料电池的应用前景进行了探讨。     

Numerical and experimental investigation of state of health of Li-ion battery

ABSTRACT

Estimation of State of Health (SoH) of Lithium-ion (Li-ion) battery is essential to predict the lifespan of batteries of an electric vehicle (EV). The efficient prediction of battery health indicates to the effective and safe operation of EV. However, delivering an effective and accurate method for the estimation of SoH in the real condition is truly a challenging task. The present study proposed a holistic procedure of combining both experimental and numerical investigations to conduct the fundamental study on coupled mechanical-electrochemical behavior of Li-ion battery. The proposed investigation highlighted the effect of stress on the capacity of the battery, considering capacity fade as an equivalent parameter to its health for real-time estimation of SoH. Finally, a simple model of Artificial Neural Network (ANN) is provided, which shows the linear dependency of stress with the SoH. The results obtained from the ANN model are validated with a Linear Regression (LR) model for a better understanding of the inspection. The predicted value of mean Square Error (MSE) and R square error in the ANN training model are found to be 0.000309 and 0.849687, respectively. Whereas for the test model, these predicted values are found to be 0.000438 and 0.819347, respectively.     

用废锂电池制备Co3O4

将废锂电池正极用酸溶解，再分别采用分步沉淀法和吸附沉淀法去除废锂电池液中的Fe^3＋，Al^3＋，Ca^2＋，Mg^2＋，抽滤后得到含CoSO。的滤液；用NaHCO3作沉淀剂，对CoSO4滤液进行沉淀反应，将得到的沉淀物过滤、洗涤、干燥后得CoCO4粉末；将CoCO4粉末进行煅烧后得Co3O4粉末。实验得出的制备CoCO4粉末的最佳工艺条件：反应温度50℃，用NaHCO，作沉淀剂；制备Co3O4粉末的最佳工艺条件：煅烧温度600℃，煅烧时间大于4h。在该条件下得到的Co3O4粉末符合锂电池生产的要求。     

Micro calorimeter study on the thermal stability of lithium-ion battery electrolytes

With the extensive applications of lithium-ion batteries, many batteries explosion accidents were reported. The thermal stability of lithium-ion battery electrolyte could substantially affect the safety of lithium-ion battery. The C80 micro calorimeter was used to study the thermal stability of several commonly used organic solvents and electrolytes. The samples were heated in argon atmosphere and air atmosphere, respectively. The chemical reaction kinetics was supposed to fit by an Arrhenius law, then the self-accelerating decomposition temperature was calculated. It is found that most of the samples are stable in argon atmosphere while decomposing in air atmosphere, and the single organic solvent is more stable than the electrolyte generally.