A review of data-driven whole-life state of health prediction for lithium-ion batteries:Data preprocessing,aging characteristics,algorithms,and future challenges

Lithium-ion batteries are the preferred green energy storage method and are equipped with intelligent battery management systems(BMSs)that efficiently manage the batteries.This not only ensures the safety performance of the batteries but also significantly improves their efficiency and reduces their damage rate.Throughout their whole life cycle,lithium-ion batteries undergo aging and performance degradation due to diverse external environments and irregular degradation of internal materials.This degradation is reflected in the state of health(SOH)assessment.Therefore,this review offers the first comprehensive analysis of battery SOH estimation strategies across the entire lifecycle over the past five years,highlighting common research focuses rooted in data-driven methods.It delves into various dimensions such as dataset integration and preprocessing,health feature parameter extraction,and the construction of SOH estimation models.These approaches unearth hidden insights within data,addressing the inherent tension between computational complexity and estimation accuracy.To enha nce support for in-vehicle implementation,cloud computing,and the echelon technologies of battery recycling,remanufacturing,and reuse,as well as to offer insights into these technologies,a segmented management approach will be introduced in the future.This will encompass source domain data processing,multi-feature factor reconfiguration,hybrid drive modeling,parameter correction mechanisms,and fulltime health management.Based on the best SOH estimation outcomes,health strategies tailored to different stages can be devised in the future,leading to the establishment of a comprehensive SOH assessment framework.This will mitigate cross-domain distribution disparities and facilitate adaptation to a broader array of dynamic operation protocols.This article reviews the current research landscape from four perspectives and discusses the challenges that lie ahead.Researchers and practitioners can gain a comprehensive understanding of battery SOH estimation methods,offering valuable insights for the development of advanced battery management systems and embedded application research.

Growth of RB Population in the Conversion Phase of Chlamydia Life Cycle

Upon infecting a host cell,the reticulate body(RB)form of the Chlamydia bacteria simply proliferates by binary fission for an extended period.Available data show only RB units in the infected cells 20 hours post infection(hpi),spanning nearly half way through the development cycle.With data collected every 4 hpi,conversion to the elementary body(EB)form begins abruptly at a rapid rate sometime around 24 hpi.By modeling proliferation and conversion as simple birth and death processes,it has been shown that the optimal strategy for maximizing the total(mean)EB population at host cell lysis time is a bang-bang control qualitatively replicating the observed conversion activities.However,the simple birth and death model for the RB proliferation and conversion to EB deviates in a significant way from the available data on the evolution of the RB population after the onset of RB-to-EB conversion.By working with a more refined model that takes into account a small size threshold eligibility requirement for conversion noted in the available data,we succeed in removing the deficiency of the previous models on the evolution of the RB population without affecting the optimal bang-bang conversion strategy.

The Use of Life Cycle Management Principles in Biosystems Engineering： A Pragmatic Approach to Solving Agri-industrial Sustainability Problems

LCM （life cycle management） is a systematic approach, mindset and culture that considers economic, social, and environmental factors among other factors in the decision making process throughout various business or organizational decisions that affect both inputs and outputs of a product or service life cycle. It is a product, process, or activity management system aimed at minimizing environmental and socio-economic burdens associated with an organization＇s product or process during its entire life cycle and value chain. LCM＇s application is gaining wider acceptance both in the corporate and governmental organizations as an approach to reduce ecological footprints and to improve the sustainability of human activities. But where and how can it be used in agricultural engineering applications？ This study highlights the potential areas of LCM application in agricultural and allied sectors and how it can be utilized. The study revealed that LCM tools such as design for environment and life cycle analysis can be used to evaluate the environmental impacts of-and to improve the products, equipment, and structures produced by biosystems engineers as well as the processes used to generate them.

Review of Oil and Gas Development Life Cycle Project Management (LCPM)

The effective implementation of the project management plays a core roll in avoiding bad project use effect and waste of funds, caused by asset management planning and design errors or equipment selection errors;meanwhile, it can effectively improve the operational efficiency of enterprise assets, lower operating costs and save resources. In June 1974, A. Gordon published a paper “3L Economics Concept” as the starting point, on the “Building and Quantity Surveying”, which is organized by the Royal Institution of Chartered Surveyors. In this paper, a review of domestic and foreign research, from 1974 to 2015, on the total life cycle management progress will be given, and then a comment on it will be established. After detailed investigation and analysis of related materials, we can draw a conclusion: the study of the oil and gas development project lifecycle management is just beginning now. Hence, building the whole life cycle planning index system in line with the characteristics of oil and gas development project is very necessary.

System Safety Management of Whole Life Cycle of Chemical Process Unit

Guaranteeing the safety performance of chemical process units is the premise for the safety production of chemical enterprises.Only to have the system safety management of the whole life cycle of the process units can operate the process systems under the state of controllable risk.

Asset Life Cycle Management in Finnish Water Utilities

The aim of this paper is to improve the water industry asset life cycle management framework towards more resilient water services in Finland. This paper is based on a literature study and a web-based semi-structured thematic interview, in which the Finnish water utility managers identified the current status of their utilities’ asset management. The water services professionals are extremely worried that, by and large, water and sewage networks are still deteriorating, although the networks are nowadays rehabilitated more systematically. The survey reveals that although most of the surveyed utilities have adopted several processes and sub-processes of asset management, and a few utilities are even using some asset management guides, as a whole a strategic approach to and a comprehensive framework for optimized management of physical assets are not practiced. Therefore the development and introduction of specific asset management guidelines should be considered. In order to support successful usage of the asset management framework, the basic concepts and principles of engineering asset management should be included in educational and professional development programs, in particular at the university level.

LCA in Environmental Management Systems—Results of Individual Interviews with Selected Enterprises from Poland and Sweden

Life Cycle Assessment (LCA) is an analytical tool used for the environmental optimization of products and services within the entirety of its life cycle. ISO 14040 recommends use of the technique in numerous areas of environmental management such as in designing for the environment, eco-labelling, environmental communications and the assessment of the effects of environmental activities. Despite being theoretically feasible, certain applications of the ecological assessment of a life cycle such as the possibility of identification and evaluation of environmental aspects with the use of LCA are, in practice, still new to many environmental managers. With its strong points, the technique seems to be a valuable tool, especially in the context of apparent concepts of Product-Oriented Environmental Management Systems (POEMS). In order to verify the hypothesis, the author decided to verify the level of use of LCA in the area of identification and assessment of environmental aspects in selected organizations. Therefore, questionnaire interviews were conducted with representatives of selected Polish and Swedish enterprises who, at the time of the interview, had certified environmental management systems. The organizations were analyzed with respect to applied methods and techniques used for identification and assessment of environmental aspects as well as the degree of use of LCA both in this respect and in other areas of environmental management. This paper will present the results of this research and conclusions.

Optimization Methodology of ESGB on Weights,Evaluation Rating,and Calculation of Carbon Emissions

To cope with climate change,the Chinese government took the lead in advocating the aim of a Carbon peak by 2030 and carbon neutrality by 2060.In China,the total carbon emission of the whole construction process in 2020 was about 5.08 billion tons of carbon dioxide(CO_(2)),accounting for about 50.90%of the national carbon emission.Consequently,researchers come up with a series of standard assessments for green building optimization measures.Through analysis and comparison of Leadership in Energy and Environmental Design(LEED),WELL Building Standard(WELL),Building Research Establishment Environmental Assessment Method(BREEAM),and Evaluation Standard for Green Building(ESGB)standards,this study will draw conclusions on optimizing ESGB in terms of weighting,evaluation rating,and carbon emission calculations.

The Aeronautic Equipment RMS Management, Monitoring System and Software Realization

This paper introduces the theory of system engineering on materiel into the management and monitoring of reliability, maintainability and supportability (RMS) activities in the aeronautic equipment's life cycle. In order to assure the science of RMS management, it analyzes the contents of RMS activities in a life cycle, provides the model of management and monitoring, and discusses the software realization of the management and monitoring system.

An Investigation into the Life Cycle Cost of a Typical Computer Numerical Control Machine

This paper relates to a typical computer numerical control (CNC) machine, model FDXNC 128, and analyzes the payoff period quantitatively and forecasts the future maintenance cost and the evaluation of the economic benefit by using Life Cycle Cost (LCC) method and grey theory. The discussion shows conclusions that are beneficial to the production, management, and decision making of the enterprise.

Analysis of Prevention and Control Bottleneck Factors of American White Moth (Hyphantria cunea)

American white moth is a remarkable worldwide quarantine pest. By the results combination of indoor incubation and field observation of American white moth in Langfang City of Hebei Province, series prevention and control bottleneck factors for the invasive agricultural pest are analyzed, such as the main operation mode of the pest against host trees, diffusion and migration charaeteristies, biological characteristics, natural enemy control, pesticide prevention and so on. The re- search aims to search for the breakthrough point of the development of environment-friendly control techniques against American white moth, which also provides the reference for further improvement of integrated pest management system.

Application of Digital Twin in Smart Battery Management Systems

Lithium-ion batteries have always been a focus of research on new energy vehicles,however,their internal reactions are complex,and problems such as battery aging and safety have not been fully understood.In view of the research and preliminary application of the digital twin in complex systems such as aerospace,we will have the opportunity to use the digital twin to solve the bottleneck of current battery research.Firstly,this paper arranges the development history,basic concepts and key technologies of the digital twin,and summarizes current research methods and challenges in battery modeling,state estimation,remaining useful life prediction,battery safety and control.Furthermore,based on digital twin we describe the solutions for battery digital modeling,real-time state estimation,dynamic charging control,dynamic thermal management,and dynamic equalization control in the intelligent battery management system.We also give development opportunities for digital twin in the battery field.Finally we summarize the development trends and challenges of smart battery management.

Dynamics and diversity of symbiotic bacteria in Apolygus lucorum at different developmental stages

Background Apolygus lucorum is a worldwide omnivorous pest damaging a range of crops and causing great economic losses.Symbiotic bacteria living in insects play a key role in the nutrition,physiology,and behavior of hosts.Here,we present an experiment using Illumina HiSeq sequencing targeting the V3–V4 regions of bacteria’s 16S rRNA throughout the entire life cycle of A.lucorum.Results The first and second instar nymphs have the largest alpha diversity compared with other life stages of the insect.Bacterial phyla Proteobacteria(72.29%),Firmicutes(15.24%),Actinobacteria(7.76%)exhibit the largest relative abundance in all developmental stages.Erwinia(23.97%)and Lactococcus(10.62%)are the two genera with the high-est relative abundance.The relative abundance of Erwinia in the nymph stage is significantly greater than the adult stage,and the relative abundance of Lactococcus in 6-day-old and 9-day-old adult females is higher compared with adult males.Conclusions These results reveal that microbial community composition and relative abundance shift dynamically at different life stages,implying that different bacterial phyla and genera may have specific roles in specific life stages such as metabolism,nutrition absorption,detoxification,and reproduction.This study reveals for the first time the community composition and ecological dynamics of symbiotic bacteria throughout the life stages of A.lucorum,and thus may provide insight to new strategies for pest control.

Concept of Integrated Waste Management as Recoverable Resources in Product Cycle

This paper presents a conceptual framework of integrated waste management which focuses on all stages of product life cycle. A mechanism of resource recovery motivating from waste in economic system （designers, producers, consumers, stakeholders in the field of disposal of the product） is suggested. The classification of institutional and economic instruments in the field of waste management as recoverable resources is developed. The author has proposed a scientific and methodical approach to the formation of an integrated waste management as recoverable resources, which is based on a set of methods of economic incentives at all stages of product life cycle and ensures the maximum possible and the environmentally safe management of wastes containing valuable resource components.

ISO 14040 Compliance of Life Cycle Inventory Compilation Methods

This article provides a comparison of several Life Cycle Assessment methodologies and their conformity to the ISO 14001 Standards. The study found that all methods surveyed meet the basic requirements of ISO 14001 in regards to evaluating the environmental impact with integrated hybrid method most satisfying the requirements.

Research on Improving Customer Value by Using QCC in Drugstores Based on Customer Life Cycle

Objective To build a model to improve the customer value of drugstores,so as to enhance their core competitiveness and share the value between drugstores and customers.Methods The quality control circle(QCC)was used to establish the model based on the theory of customer life cycle.According to recency-frequencymonetary(RFM)model,a general value index evaluation system was constructed for customers in different life cycles,and an example was studied.Results and Conclusion The flow model of drugstore customer management system and the method of evaluating the customer value were designed.Taking the activities of the QCC in a drugstore as an example,the deficiencies of pharmaceutical care such as medication consultation,shortage of drug supply and irrational drug display were improved.It also promoted the transformation of customers from a starting period into stable period and improved the comprehensive value of customers,indicating that QCC was effective.Drugstores should carry out the QCC activities with different themes according to the characteristics of customers in different life circles.Meanwhile,suggestions from customers on improving the environment and facilities,service quality and management mechanism of the drugstores should be effectively adopted to promote the transformation of customers from the starting period to the stable period for the realization of the highest value.This will bring economic value to drugstores and achieve the value sharing between drugstores and customers.

基于数据生命周期的煤泥浮选智能控制技术研究进展

随着国家政策和新一代人工智能技术的持续牵引,矿山智能化研究取得突破,其中,选煤厂智能化建设受到高度关注,煤泥浮选智能控制技术一直是阻碍选煤厂智能化建设的关键瓶颈之一。以煤泥浮选数据生命周期为主线,从浮选精煤/尾煤灰分在线预测、浮选药剂智能添加和煤泥浮选系统智能决策3个角度综述了煤泥浮选智能控制技术的研究进展,并展望未来煤泥浮选智能控制技术发展趋势。浮选精煤灰分在线预测困难重重,单一视觉特征信息并不可靠,尾矿灰分的预测技术相对更加成熟可靠;浮选药剂添加量受多个过程变量同时制约,模型性能在整个工况区间的自适应性和泛化能力还需进一步提升;当前浮选工业系统智能控制技术的进一步发展严重受限于浮选精煤/尾煤灰分等指标的预测精度、传感器检测精度、药剂添加精度等因素。浮选过程数据集维度更高,难以建立可靠的知识库,以深度学习为代表的新一代人工智能技术能适应这类数据结构。此外,已有浮选监测系统只针对特定矿物,唯一性较高。未来浮选智能控制系统应集中攻克指标预测、传感器检测精度等方面限制,建立多煤种、模板化的煤泥浮选智能控制资料大数据集和大模型。

城市重大公共卫生风险全过程防控体系构建

在复杂多样的城市风险中,重大公共卫生风险是影响力与破坏力较为严重的一种,探索建立符合中国城市发展进程的城市重大公共卫生风险全过程防控体系迫在眉睫。遵循风险发生过程,以“全周期管理”理念为指引,结合4R危机管理理论、风险管理理论和整体性治理理论,构建重大公共卫生风险全过程动态防控理论框架,同时立足于“以体系为核心”和“以风险为主线”的研究视角,深入分析“全过程动态”的核心意识,将风险防控过程划分为“全面风险评估预警—精准动态响应控制”,进而探讨构建包含风险识别、风险评估、风险评价和决策支持的风险评估体系,以及包含应急响应和常态化控制的风险控制机制的实践路径,提升中国重大公共卫生风险治理水平。

我国化工园区减污降碳技术路径研究

化学工业是推动制造强国战略实施的重要支撑,化工园区是新型工业化的关键载体,开展化工园区减污降碳技术应用研究具有重要的现实意义。本文针对化工园区减污降碳面临的资源利用率低、减污和降碳协同性差、末端治污成本高、环境安全与风险突出等挑战,分析了化工园区碳和污染物产生的特点并梳理相关研究进展,剖析了减污降碳协同增效的内涵。在此基础上,建立了基于一般性工业过程的分析框架,以物质、能量代谢过程为纽带,从企业生产、基础设施、产业共生等层面演绎提出了化工园区减污降碳的技术路径:建立化工园区内企业的碳、污染物排放清单;集成优化化工园区的技术与产业结构,加强绿色低碳生产技术开发、基础设施升级共生、企业间合作、减污降碳与安全生产统筹、产品‒产业‒空间结构优化;开展全生命周期减污降碳成本效益评估。选取杭州湾上虞经济技术开发区为典型案例,总结了化工园区减污降碳技术路径的应用实践,进而提出了化工园区减污降碳实施路径建议:完善精细计量体系,加强化工园区物质流管理;强化化工园区共生链接,运用系统工程赋能减污降碳;激发系统效率变革,推动化工园区绿色高质量发展。

基于医疗数字生态平台的智慧健康管理研究

智慧健康管理是医院智慧化转型的重要内容。针对目前健康管理存在的数字平台不完善、数据获取不完整、执行标准不统一等问题,构建集多源健康数据于一体的综合性医疗数字生态平台。平台的应用提供了健康管理闭环模式,释放了健康管理的庞大市场,提高了健康管理服务质量和效率,提升了慢病管理有效干预率。建议后期将健康管理数据应用于健康管理学科建设、专病诊疗研究、模型疾病预测、人工智能技术辅助等方面。