Article
Chemistry, Physical
Aurelien Quelin, Nicolas Damay
Summary: In this article, a physical approach is proposed to link the electrical parameters of a battery's equivalent circuit model (ECM) with the dimensions of its electrodes, contributing to the design of battery-powered systems. Through non-invasive measurements on three commercial coin cells of different sizes and capacities, dependency models are developed to accurately predict the ECM parameters based on electrode length. The proposed approach shows promising results in voltage simulations and predictions, making it a useful tool in developing customized batteries.
JOURNAL OF POWER SOURCES
(2023)
Article
Energy & Fuels
Paul Dicke, Simon Resch, Frank Steinbacher, Matthias Luther, Reinhard German
Summary: Electrochemical batteries are becoming increasingly important in our renewable powered society, and the capability to simulate these systems is crucial. A modular, versatile modeling methodology is presented in this work, able to simulate different technologies and sizes of storage units, while considering nonlinearities and various characteristics. Comprehensive simulation results for different storage systems are provided to showcase the fidelity, parametrization, and versatility of the approach.
JOURNAL OF ENERGY STORAGE
(2021)
Article
Chemistry, Physical
Maximilian Bruch, Lluis Millet, Julia Kowal, Matthias Vetter
Summary: A new method for precise parameterization of an equivalent circuit model from pulse tests is presented, with the robustness of such models increased by limiting the voltage of the RC element with the highest time constant. As a result, a precise and reliable model of a lithium-ion battery cell is created, with only a minor root-mean-square error of 1.30%.
JOURNAL OF POWER SOURCES
(2021)
Article
Chemistry, Physical
Yuejiu Zheng, Zhihe Shi, Dongxu Guo, Haifeng Dai, Xuebing Han
Summary: In this paper, a low-frequency domain equivalent circuit model (LECM) based on the principle of electrochemical impedance spectroscopy (EIS) is proposed to simplify elements in the high-frequency region, identifying model parameters using only the low-frequency region of the EIS. It addresses the issue of traditional ECM dependence on time-domain working conditions.
JOURNAL OF POWER SOURCES
(2021)
Article
Energy & Fuels
Yihui Jiang, Jun Xu, Chengwei Jin, Mengmeng Liu, Xuesong Mei
Summary: This paper investigates the effects of stack pressure on equivalent circuit model parameters of batteries. The study evaluates the changes in model parameters and their impact on model accuracy through various tests. The results show that stack pressure significantly affects all model parameters and reduces model accuracy. These findings are instructive for the application of equivalent circuit models in battery management.
JOURNAL OF ENERGY STORAGE
(2023)
Article
Energy & Fuels
Lin He, Xingwen Hu, Guangwei Yin, Xingguo Shao, Jichao Liu, Qin Shi
Summary: A voltage dynamics model is developed in this article for the design of a proportional-integral observer, which fuses the battery voltage characteristics, the current integral principle, and the equivalent circuit model into a set of differential equations. The experimental results show that this method is a good choice for state-of-charge estimation of lithium-ion battery in a real-world vehicle.
Article
Energy & Fuels
Qiang Guo, Jiayong Guo, Jie Liu, Hewu Wang
Summary: In this study, a novel electric-thermal coupled model is used to investigate the temperature distribution characteristics of battery modules at different ambient temperatures and discharge rates. The accuracy of temperature prediction relies on determining the entropy heat coefficient and convective heat transfer coefficient through experiments. Without a thermal management system, an increase in discharge rate leads to higher average temperature, average temperature rise, and maximum temperature difference, while a decrease in initial ambient temperature results in lower values of these parameters. Under typical vehicle driving cycle conditions, the average temperature curves exhibit peaks before the end of the cycle. A wider speed range, longer testing time, and reduced regularity of driving cycles all contribute to higher average temperature and maximum temperature difference. Further research examines the impact of coolant flow rate and temperature, as well as contact thermal resistance, on the efficiency of thermal management systems. Increasing coolant flow rate gradually decreases average temperature, but excessively high flow rates result in larger maximum temperature difference. Lower coolant temperatures reduce both average and maximum temperature difference, but worsen temperature uniformity. Increasing thermal contact resistance generally raises average and maximum temperature difference, whereas lower thermal contact resistance leads to a more uniform distribution of low temperatures.
JOURNAL OF ENERGY STORAGE
(2023)
Article
Energy & Fuels
Yuhang Wang, Haihong Huang, Haixin Wang, Xu Wu
Summary: The disposal of retired batteries is a major concern in the new energy industry. This paper proposes a novel sorting strategy for retired batteries with unknown state of charge, reducing the sorting time. It also introduces the concept of resistive remaining capacity and cross-validation strategy for a more comprehensive assessment of retired batteries.
JOURNAL OF ENERGY STORAGE
(2023)
Article
Energy & Fuels
Enrico Dalla Maria, Mattia Dallapiccola, Davide Aloisio, Giovanni Brunaccini, Francesco Sergi, David Moser, Grazia Barchi
Summary: This paper presents a novel data-driven parameter estimation procedure for high-current battery modelling, which has been applied to experimental measurement data conducted on Lithium Titanate batteries. The proposed methodology encompasses the entire process of parameter estimation, starting from raw experimental data. The validation results confirmed that the proposed approach had good modelling performance.
JOURNAL OF ENERGY STORAGE
(2023)
Article
Energy & Fuels
Nikhil Biju, Huazhen Fang
Summary: Advanced battery management is crucial for lithium-ion battery systems, and current models struggle to balance accuracy and complexity. To tackle this issue, we developed an innovative model called BattX, which combines the advantages of equivalent circuit and single particle models. Experimental validation demonstrated that BattX accurately predicts voltage during charging and discharging across a wide range of C-rates.
Article
Energy & Fuels
Chuanxin Fan, Kieran O'Regan, Liuying Li, Matthew D. Higgins, Emma Kendrick, Widanalage D. Widanage
Summary: This paper proposes a nonlinear equivalent circuit model to describe the electrochemical behaviors of batteries. The model utilizes a multisine approach for element identification and optimizes the diffusion model for SoC dependence. Experimental results demonstrate the high accuracy of the model in long duration discharge and NEDC driving cycle.
Article
Energy & Fuels
Valentina Lucaferri, Matteo Valentini, Francesco De Lia, Antonino Laudani, Roberto Lo Presti, Riccardo Schioppo, Francesco Riganti Fulginei
Summary: This study investigates the application of lithium-ion batteries in microgrid systems and proposes a simplified version of an equivalent circuit model to describe the behavior of battery energy storage systems in microgrid applications. Through data collection and analysis, the study demonstrates the robustness of the proposed model.
JOURNAL OF ENERGY STORAGE
(2023)
Article
Chemistry, Physical
Marcel Esser, Gunnar Rohde, Christian Rehtanz
Summary: This paper demonstrated the development of a setup that performs impedance spectroscopy on commercial lithium-ion battery cells and packs using standard measurement equipment. The setup allows for a wider range of measurements and applications compared to commercial devices.
JOURNAL OF POWER SOURCES
(2022)
Article
Energy & Fuels
Jianfeng Wang, Yongkai Jia, Na Yang, Yanbing Lu, Mengyu Shi, Xutong Ren, Dongchen Lu
Summary: The study explores the factors affecting the accuracy of the equivalent circuit model in electric vehicle battery management systems (BMS) and designs experimental procedures to identify and optimize the model parameters. By utilizing polynomial fitting and sensitivity analysis, the study investigates the impact of three model parameters on different performance aspects under different state of charge (SOC). This study provides a foundation for battery modeling and model parameter identification, and proposes an optimization parameter as an indicator.
JOURNAL OF ENERGY STORAGE
(2022)
Article
Chemistry, Analytical
Eden Poihipi, Jonathan Scott, Christopher Dunn
Summary: This paper revisits the argument that competing fractional-element equivalent-circuit models of battery cells cannot be distinguished in the presence of noise. By using an extended frequency range and fitting measured data, the appropriate model can be selected to accurately reproduce the data.
JOURNAL OF ELECTROANALYTICAL CHEMISTRY
(2022)
Article
Mechanics
Jinling Zhao, Hongli Ji, Jinhao Qiu, Jianping Zhao, Xiaojuan Xu
Summary: This article evaluates the elastic properties of composites by inverting guided wave velocities and analyzes the sensitivity of ultrasonic waves to stiffness. By developing novel sensitivity kernels, the authors achieve accurate and efficient sensitivity analysis, and further validate the method by identifying elastic properties.
EUROPEAN JOURNAL OF MECHANICS A-SOLIDS
(2023)
Article
Chemistry, Multidisciplinary
Yiwen Yuan, Jianping Zhao, Jianfeng Li
Summary: Several five-coordinate high-spin p-toluenethiolate Manganese(II) complexes were successfully synthesized using different ligands, and were characterized in detail by various spectroscopic techniques. The crystal structures exhibited flexible ligands and interactions between the ligands and porphyrin planes. The high-spin states of these complexes were confirmed by EPR, and temperature-dependent EPR and measurement comparisons with different ligand equivalents were conducted.
JOURNAL OF PORPHYRINS AND PHTHALOCYANINES
(2023)
Article
Medical Laboratory Technology
Yanjiao Lu, Kum Tang, Shanshan Wang, Zhen Tian, Yan Fan, Boyu Li, Meijia Wang, Jianping Zhao, Jungang Xie
Summary: This study demonstrates that low expression of Dachshund homolog 1 (Dach1) in type II alveolar epithelial cells (AECII) contributes to the progression of pulmonary fibrosis (PF). Dach1 deficiency exacerbates PF in mice, while overexpression of Dach1 alleviates lung damage and fibrosis. Mechanistically, Dach1 represses epithelial apoptosis by binding to the promoter of B-cell lymphoma 2 interacting mediators of cell death (Bim), thus preventing PF development.
TRANSLATIONAL RESEARCH
(2023)
Article
Materials Science, Multidisciplinary
Hua-Dong Dong, Jian-Ping Zhao, Ming-Xing Peng, Yong -Hui Zhang, Pei -Yuan Xu
Summary: In this study, fusiform ZnO sensitive material was synthesized and its H2 sensing performance was enhanced by loading Au nanoparticles. The material showed good selectivity and long-term stability for H2.
Article
Chemistry, Physical
Haiyan Duan, Xu Chen, Yi-Nan Yang, Jianping Zhao, Xiao-Chun Lin, Wen-Jing Tang, Qiang Gao, Guo-Hong Ning, Dan Li
Summary: Despite many efforts in tuning catalytic performance of metal-organic frameworks (MOFs) through modification of MOF nodes, steric tuning of MOF nodes via ligand modification remains challenging. In this study, two two-dimensional Cu(I) cyclic trinuclear unit (Cu-CTU)-based MOFs with similar structures, named JNM-1 and JNM-5, were successfully synthesized. JNM-5 exhibited higher crystallinity, porosity and chemical stability, but lower catalytic activity for hydroboration reactions compared to JNM-1. However, JNM-5 showed higher substrate selectivity and chemo-selectivity for hydroboration of olefins.
JOURNAL OF MATERIALS CHEMISTRY A
(2023)
Article
Infectious Diseases
Lulu Zhang, Yan Xiao, Guoliang Zhang, Hongru Li, Jianping Zhao, Mingwei Chen, Fuhui Chen, Ling Liu, Yalun Li, Liping Peng, Feng Zhao, Donghong Yang, Zhongmei Wen, Lei Wu, Shuo Wu, Yajiao Sun, Ying Wang, Lan Chen, Xinming Wang, Lihui Wang, Weimin Li, Haibo Qiu, Yusheng Chen, Zhancheng Gao, Lili Ren, Jianwei Wang
Summary: This study identifies the major respiratory pathogens causing community-acquired pneumonia (CAP) in adults in China, which differ from those in the USA and European countries. These findings are consistent across different geographical regions and study years. Based on the detection rate of pathogens and their association with severe CAP, the ten major pathogens are recommended as priorities for clinical pathogen screening in China.
BMC INFECTIOUS DISEASES
(2023)
Article
Chemistry, Multidisciplinary
Jianping Zhao, Mo Xie, Xu Chen, Ji-Kang Jin, Wei Zhao, Jie Luo, Guo-Hong Ning, Junzhi Liu, Dan Li
Summary: A boron-dipyrromethene (BODIPY) based COF, JNM-12, was synthesized via Schiff-base condensation reaction and exhibited strong visible-light harvesting abilities. JNM-12 showed efficient photocatalytic activity in the oxidative coupling of amines and aerobic oxidation of enamines under visible light irradiation. This work provides a new approach for the synthesis of efficient, economical, and green photocatalysts for organic synthesis.
CHEMISTRY-AN ASIAN JOURNAL
(2023)
Article
Plant Sciences
Zhi-shen Xie, Jian-ping Zhao, Li-min Wu, Shuang Chu, Zheng-hao Cui, Yi-ran Sun, Hui Wang, Hui-fen Ma, Dong-rui Ma, Pan Wang, Xiao-wei Zhang, Zhen-qiang Zhang
Summary: Hederagenin (HD) promotes autophagy and reduces Alzheimer's disease symptoms through the activation of the PPAR alpha/TFEB pathway.
Article
Plant Sciences
Lihui Jiang, Baolin Yao, Xiaoyan Zhang, Lixia Wu, Qijing Fu, Yiting Zhao, Yuxin Cao, Ruomeng Zhu, Xinqi Lu, Wuying Huang, Jianping Zhao, Kuixiu Li, Shuanglu Zhao, Li Han, Xuan Zhou, Chongyu Luo, Haiyan Zhu, Jing Yang, Huichuan Huang, Zhengge Zhu, Xiahong He, Jiri Friml, Zhongkai Zhang, Changning Liu, Yunlong Du
Summary: Salicylic acid inhibits rice root growth by interfering with auxin transport through OsPIN3t-mediated mutation and clathrin-mediated endocytosis, which is different from TyrA23-mediated root growth.
Article
Endocrinology & Metabolism
Jianping Zhao, Jonathan Epstein
Summary: EPE is rarely seen in GG1-3 prostatic adenocarcinoma, and there is no evidence suggesting it as a contraindication for radical prostatectomy. Despite the presence of EPE on biopsy, most patients do not have highly unfavorable pathology at the time of surgery.
Article
Construction & Building Technology
Shuxiao Wang, Jianping Zhao, Lixiong Wang, Wenye Hu, Fanfang Yan
Summary: This paper presents a new experimental protocol using a large hemisphere LED screen to study the impact of lighting conditions on circadian behaviors in architectural spaces. Results show that both intrinsic and extrinsic signals regulate pupil size under continuous lighting conditions.
Article
Chemistry, Physical
Tsung-Hsuan Yang, Erik S. Cheng, Samuel M. Johnson, Toshihiko Iwao, Jianping Zhao, John G. Ekerdt, Peter L. G. Ventzek, Gyeong S. Hwang
Summary: Plasma-enhanced atomic layer deposition (PEALD) is a promising technique for controlled growth of silicon nitride (SiNx) thin films. The presence of amines, especially primary amines, plays a key role in dichlorosilane (DCS) decomposition, generating H and Cl atoms as by-products. The by-products can strongly bind to the surface, affecting the SiNx ALD process and decreasing the growth rate.
APPLIED SURFACE SCIENCE
(2023)
Article
Construction & Building Technology
Cailong Ma, Sixuan Wang, Jianping Zhao, Xufeng Xiao, Chenxi Xie, Xinlong Feng
Summary: The purpose of this paper is to develop a data and mechanism co-driven model for predicting the shear strength of reinforced concrete (RC) deep beams. A total of 457 RC deep beams with or without web reinforcements are included in the experimental database, and 9 key input features are determined based on the shear mechanism. Six machine-learning models and five mechanism models are compared, and the XGBoost model outperforms others in terms of prediction accuracy and generalization ability. The interpretability of the XGBoost model is enhanced by combining the Shapley additive explanation (SHAP) approach and the proposed interpretable approach based on the shear mechanism. The proposed interpretable approach is validated qualitatively and quantitatively against other mechanism models, demonstrating its recommendation for similar shear issues of RC members.
CONSTRUCTION AND BUILDING MATERIALS
(2023)
Article
Chemistry, Medicinal
Vijayasankar Raman, Yan-Hong Wang, Seethapathy G. G. Saroja, Jianping Zhao, Jane Manfron, Bharathi Avula, Amar G. G. Chittiboyina, Ikhlas A. A. Khan
Summary: This study provides an orthogonal approach to differentiate the dream herb from non-bitter calea using three independent methodologies. Detailed morpho-anatomical and histochemical characterizations of the two species were established, along with the identification of chemical compounds present. The study results would aid in authentication of botanical raw materials and quality control of Calea ternifolia-based products.
REVISTA BRASILEIRA DE FARMACOGNOSIA-BRAZILIAN JOURNAL OF PHARMACOGNOSY
(2023)
Article
Gastroenterology & Hepatology
Yuan-Xiang Lu, Jian-Ping Zhao, Guan-Dou Yuan, Ming-Gen Hu, Chuan-Dong Sun, Kun-Lun Chen, Yao Chen, Yong-Yi Zeng, Zhi-Ying Yang, Wan-Guang Zhang
Summary: This study aimed to investigate the prevalence, patterns, risk factors, and outcomes of peritoneal metastases (PM) in hepatocellular carcinoma (HCC) patients after curative laparoscopic hepatectomy (LH). The results showed that LH was not associated with increased incidence of PM in HCC patients for experienced surgeons, and surgical re-excision of PM was associated with prolonged survival.
HEPATOBILIARY SURGERY AND NUTRITION
(2023)