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State of Health Estimation of LiFePO_(4) Batteries for Battery Management Systems

Computers, Materials & Continua 2022年第11期73卷 3149-3164页

作者： Areeb khalid Syed ab.ul Rahman Kashif Noor ul Ain Ali nasir Department of Electrical Engineering University of Engineering and TechnologyLahorePakistan Department of Electrical Engineering University of Central PunjabLahorePakistan

When considering the mechanism of the batteries,the capacity reduction at storage(when not in use)and cycling(during use)and increase of internal resistance is because of degradation in the chemical composition inside the *** optimize battery usage,a battery management system(BMS)is used to estimate possible aging effects while different load profiles are requested from the *** is specifically seen in a case when the vehicle is connected to the net(online through BMS).During this process,the BMS chooses the optimized load profiles based on the least aging effects on the battery *** major focus of this paper is to design an algorithm/model for lithium iron phosphate(LiFePO4)*** model of the batteries is based on the accelerated aging test data(data from the beginning of life till the end of life).The objective is to develop an algorithm based on the actual battery trend during the whole life of the *** the analysis of the test data,the complete trend of the battery aging and the factors on which the aging is depending on is identified,the aging model can then be recalibrated to avoid any differences in the production process during cell *** validation of the model was carried out at the end by utilizing different driving profiles at different C-rates and different ambient temperatures.A Linear and non-linear model-based approach is used based on statistical *** parameterization was carried out by dividing the data into small chunks and estimating the parameters for the individual ***-adaptive characteristic map using a lookup table was also *** nonlinear model was chosen as the best candidate among all other approaches for longer validation of 8-month data with real driving data set.

关键词： Aging model state of health lithium-ion cells battery management system state of charge battery modeling

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Forecast the Influenza Pandemic Using Machine Learning

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Computers, Materials & Continua 2021年第1期66卷 331-340页

作者： Muhammad Adnan Khan Wajhe ul Husnain abidi Mohammed A.Al Ghamdi Sultan H.Almotiri Shazia Saqib Tahir Alyas khalid Masood Khan nasir Mahmood Department of Computer Science Lahore Garrison UniversityLahore54792Pakistan Systems Limited Lahore54792Pakistan Computer Science Department Umm Al-Qura UniversityMakkah City715Saudi Arabia Department of Computer Science University of Engineering and TechnologyLahore54000Pakistan

Forecasting future outbreaks can help in minimizing their *** is a disease primarily found in animals but transferred to humans through *** 1918,influenza became a pandemic and spread rapidly all over the world becoming the cause behind killing one-third of the human population and killing one-fourth of the pig ***,that influenza became a pandemic several times on a local and global *** 2009,influenza‘A’subtype H1N1 again took many human *** disease spread like in a pandemic *** paper proposes a forecasting modeling system for the influenza pandemic using a feed-forward propagation neural network(MSDII-FFNN).This model helps us predict the outbreak,and determines which type of influenza becomes a pandemic,as well as which geographical area is *** collection for the model is done by using IoT *** model is divided into 2 phases:The training phase and the validation phase,both being connected through the *** the training phase,the model is trained using FFNN and is updated on the *** the validation phase,whenever the input is submitted through the IoT devices,the system model is updated through the cloud and predicts the pandemic *** our dataset,the data is divided into an 85%training ratio and a 15%validation *** applying the proposed model to our dataset,the predicted output precision is 90%.

关键词： Influenza pandemic machine learning prediction influenza influenza pandemic prediction forecast pandemic influenza

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Structural and optoelectronic properties of CsLnZnTe_(3)(Ln=La,Pr,Nd and Sm)

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Journal of Rare Earths 2023年第3期41卷 388-396,I0003页

作者： Imad Khan Ihsan ullah Izaz ul Haq Akbar Ali A.Dahshan Zahid Ali Iftikhar Ahmad Center for Computational Materials Science Department of PhysicsUniversity of MalakandChakdaraPakistan Department of Physics Faculty of ScienceKing Khalid UniversityP.O.Box 9004AbhaSaudi Arabia Department of Physics Faculty of SciencePort Said UniversityPort SaidEgypt Gomal University Dera Ismail KhanPakistan

Zinc telluride is a versatile wide band gap semiconductor used in many *** it has certain limitations like large dimensions and large band *** alkali metal to its bulk lattice(3D)can reduce its dimensions and lanthanide can produce a red shift in the energy gap by converting it into quaternary *** alkali and lanthanide incorporated quaternary zinc tellurides CsLnZnTe_(3)(Ln=La,Pr,Nd and Sm)form layered crystal structure in which_(∞)^(2)[LnZnTe_(3)]-layers are separated by Cs+*** famous lanthanide contraction is experimental both from lattice constants and bond *** calculated band gaps are 2.26,2.28,2.12,2.05 eV for CsLaZnTe_(3),CsPrZnTe_(3),CsNdZnTe_(3) and CsSmZnTe_(3),*** compounds show direct band gap *** energy band gaps of these compounds have not been evaluated yet both experimentally and *** loss functions,refractive index and dielectric functions were also calculated to explore the potential applications of CsLnZnTe_(3) in optoelectronic devices.

关键词： Chalcogenides Optical materials Electronic structure Dimensions reduction ab-initio calculations Rare earths

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二茂铁基噻吩与3-己基噻吩共聚研究

二茂铁基噻吩与3-己基噻吩共聚研究

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第十八届全国波谱学学术年会

作者： Hamad khalid 俞豪杰王立 Muhammad Akram nasir M.abbasi Zain-ul-abdin Muhammad Saleem 化学工程联合国家重点实验室化学工程与生物工程学系浙江大学化学工程联合国家重点实验室化学工程与生物工程学系

＜正＞聚噻吩的超共轭结构使其具有独特的光学和电学性能,在有机太阳能电池、场效应晶体管和有机电子学方面有很好的应用前景,最近数十年来获得研究者们的关注。二茂铁基由于其可逆的氧化还原性能在化学和生物传感器方面有着应用。有文...

＜正＞聚噻吩的超共轭结构使其具有独特的光学和电学性能,在有机太阳能电池、场效应晶体管和有机电子学方面有很好的应用前景,最近数十年来获得研究者们的关注。二茂铁基由于其可逆的氧化还原性能在化学和生物传感器方面有着应用。有文献报道了噻吩与二茂铁结合起来用作有机信息存储和化学传感器等。基于这两种基团的特性,我们合成了二茂铁基噻吩（TEF）,再选用反应条件简单温和的氧化聚合法将TEF与3-己基噻吩（3HT）共聚。噻吩环上2位与5位碳参与反应失去质子。聚合过程可由1H-MNR监控,观察噻吩环上质子的

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聚磷腈的合成与表征

聚磷腈的合成与表征

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第十八届全国波谱学学术年会

作者： Akram Muhammad 王立俞豪杰 Hamad khalid nasir M.abbasi M.Saleem Zain-ul-abdin 陈永盛化学工程联合国家重点实验室化学工程与生物工程学系浙江大学

＜正＞聚磷腈是结构可调的聚合物,在生物医药领域（例如药物输送、组织工程等）有着广泛的应用。聚磷腈是骨架上磷原子与氮原子交替排布有机-无机杂化材料,两个侧链单元（通常是有机基团）通过共价键接到每个磷原子上。聚二氯磷腈（DPC...

＜正＞聚磷腈是结构可调的聚合物,在生物医药领域（例如药物输送、组织工程等）有着广泛的应用。聚磷腈是骨架上磷原子与氮原子交替排布有机-无机杂化材料,两个侧链单元（通常是有机基团）通过共价键接到每个磷原子上。聚二氯磷腈（DPCP）是合成聚磷腈的重要中间体,DPCP上的氯原子通过亲核试剂取代得到生物稳定或生物可降解的聚合物[1,2]。由六氯三聚磷腈（HCCP）合成PDCP过程中,单体HCCP的纯化非常重要。通过重结晶与升华的方法来纯化HCCP,其纯度可由31P NMR来测定。纯净的HCCP在20 ppm处有

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