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  • Open Access

    PROCEEDINGS

    Three-Dimensional Discrete Element Simulation of Electrode Structural Evolutions in Lithium-Ion Batteries During Drying and Calendering

    Yuhang Lyu1, Shaohai Dong1, Li Ting Gao1, Zhan-Sheng Guo1,*

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.30, No.3, pp. 1-1, 2024, DOI:10.32604/icces.2024.012815

    Abstract Drying and calendering processes are crucial in electrode manufacturing, as they significantly affect the mechanical and electrochemical performances of lithium-ion batteries. In this study, we established a three-dimensional (3D) representative volume element (RVE) of electrodes composed of active material particles, carbon binder domain particles, solvent, and different particle contact types. We continuously simulated the 3D macroscopic and microscopic structural evolutions of the RVE during drying and calendering using the discrete element method (DEM). Based on the evolution of the particle coordination numbers and contact networks during drying, we propose a three-stage-drying scheme, consistent with the More >

  • Open Access

    ARTICLE

    SOH Estimation of Lithium Batteries Based on ICA and WOA-RBF Algorithm

    Qi Wang1,2,3, Yandong Gu1,*, Tao Zhu1, Lantian Ge1, Yibo Huang1

    Energy Engineering, Vol.121, No.11, pp. 3221-3239, 2024, DOI:10.32604/ee.2024.053758 - 21 October 2024

    Abstract Accurately estimating the State of Health (SOH) of batteries is of great significance for the stable operation and safety of lithium batteries. This article proposes a method based on the combination of Capacity Incremental Curve Analysis (ICA) and Whale Optimization Algorithm-Radial Basis Function (WOA-RBF) neural network algorithm to address the issues of low accuracy and slow convergence speed in estimating State of Health of batteries. Firstly, preprocess the battery data to obtain the real battery SOH curve and Capacity-Voltage (Q-V) curve, convert the Q-V curve into an IC curve and denoise it, analyze the parameters… More >

  • Open Access

    ARTICLE

    A Joint Estimation Method of SOC and SOH for Lithium-ion Battery Considering Cyber-Attacks Based on GA-BP

    Tianqing Yuan1,2, Na Li1,2, Hao Sun3, Sen Tan4,*

    CMC-Computers, Materials & Continua, Vol.80, No.3, pp. 4497-4512, 2024, DOI:10.32604/cmc.2024.056061 - 12 September 2024

    Abstract To improve the estimation accuracy of state of charge (SOC) and state of health (SOH) for lithium-ion batteries, in this paper, a joint estimation method of SOC and SOH at charging cut-off voltage based on genetic algorithm (GA) combined with back propagation (BP) neural network is proposed, the research addresses the issue of data manipulation resulting from cyber-attacks. Firstly, anomalous data stemming from cyber-attacks are identified and eliminated using the isolated forest algorithm, followed by data restoration. Secondly, the incremental capacity (IC) curve is derived from the restored data using the Kalman filtering algorithm, with… More >

  • Open Access

    ARTICLE

    Plasma Surface Modification of Li2TiSiO5 Anode for Lithium-Ion Batteries

    Shangqi Sun1,2,3,*, Lingchao Xiao3, Qifeng Qian3, Yunfeng Deng1

    Energy Engineering, Vol.121, No.10, pp. 2769-2776, 2024, DOI:10.32604/ee.2024.052680 - 11 September 2024

    Abstract Solving intrinsic structural problems such as low conductivity is the main challenge to promote the commercial application of Li2TiSiO5. In this study, Li2TiSiO5 is synthesized by the sol-gel method, and the surface modification of Li2TiSiO5 is carried out at different temperatures using low-temperature plasma to enhance its lithium storage performance. The morphological structure and electrochemical tests demonstrate that plasma treatment can improve the degree of agglomeration. The peak position of the plasma-treated Li2TiSiO5 is shifted to a lower angle, and the shift angle increases with increasing sputtering power. Li2TiSiO5 after 300 W bombardment shows excellent capacity (144.7 mA·hg−1 More >

  • Open Access

    PROCEEDINGS

    Chemo-Mechanical Peridynamic Simulation of Dynamic Fracture-Pattern Formation in Lithium-Ion Batteries

    Xiaofei Wang1, Qi Tong1,*

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.27, No.3, pp. 1-1, 2023, DOI:10.32604/icces.2023.09181

    Abstract Mechanical failure due to lithium-ion diffusion is one of the main obstacles to fulfill the potential of the electrode materials. Various fracture patterns in different electrode structures are observed in practice, which may have a profound impact on the performance and the service life of electrodes during operation. However, the mechanisms are largely unclear and still lack systematic understanding. Here we propose a coupled chemo-mechanical model based on peridynamics [1] and use it to study the dynamic fracturepattern formation in electrode materials and solid electrolytes during lithiation/delithiation cycles. We found in hollow core-shell nanowires that More >

  • Open Access

    ARTICLE

    Analysis of Capacity Decay, Impedance, and Heat Generation of Lithium-ion Batteries Experiencing Multiple Simultaneous Abuse Conditions

    Casey Jones, Meghana Sudarshan, Vikas Tomar*

    Energy Engineering, Vol.120, No.12, pp. 2721-2740, 2023, DOI:10.32604/ee.2023.043219 - 29 November 2023

    Abstract Abuse of Lithium-ion batteries, both physical and electrochemical, can lead to significantly reduced operational capabilities. In some instances, abuse can cause catastrophic failure, including thermal runaway, combustion, and explosion. Many different test standards that include abuse conditions have been developed, but these generally consider only one condition at a time and only provide go/no-go criteria. In this work, different types of cell abuse are implemented concurrently to determine the extent to which simultaneous abuse conditions aggravate cell degradation and failure. Vibrational loading is chosen to be the consistent type of physical abuse, and the first… More >

  • Open Access

    ARTICLE

    The Microparticles SiOx Loaded on PAN-C Nanofiber as Three-Dimensional Anode Material for High-Performance Lithium-Ion Batteries

    Jiahao Wang1, Jie Zhou2, Zhengping Zhao2,*, Feng Chen1, Mingqiang Zhong1

    Journal of Renewable Materials, Vol.11, No.8, pp. 3309-3332, 2023, DOI:10.32604/jrm.2023.027278 - 26 June 2023

    Abstract Three-dimensional C/SiOx nanofiber anode was prepared by polydimethylsiloxane (PDMS) and polyacrylonitrile (PAN) as precursors via electrospinning and freeze-drying successfully. In contrast to conventional carbon covering Si-based anode materials, the C/SiOx structure is made up of PAN-C, a 3D carbon substance, and SiOx loading steadily on PAN-C. The PAN carbon nanofibers and loaded SiOx from pyrolyzed PDMS give increased conductivity and a stable complex structure. When employed as lithium-ion batteries (LIBs) anode materials, C/SiOx-1% composites were discovered to have an extremely high lithium storage capacity and good cycle performance. At a current density of 100 mA/g, More > Graphic Abstract

    The Microparticles SiOx Loaded on PAN-C Nanofiber as Three-Dimensional Anode Material for High-Performance Lithium-Ion Batteries

  • Open Access

    ARTICLE

    INVESTIGATION AND OPTIMIZATION OF A THERMAL MANAGEMENT SYSTEM FOR LITHIUM-ION BATTERIES COMBINING CLOSED AIR-COOLING WITH PHASE CHANGE MATERIAL

    Xiaoyong Gua,*, Gang Wub, Biwen Chenc

    Frontiers in Heat and Mass Transfer, Vol.20, pp. 1-9, 2023, DOI:10.5098/hmt.20.24

    Abstract To maintain the maximum temperature and temperature difference of batteries in electric vehicles within a reasonable range, a battery thermal management system combining closed air-cooling with phase change material(PCM) is proposed and investigated. A three-dimensional numerical model is developed and validated by experiment. The results indicate that the temperature rise of batteries decreases with the increase of ambient temperature. The increasing filling amount of PCM reduces the maximum temperature difference of batteries as well as the effect of the airflow rate on maximum temperature of batteries. The energy consumption is minimum when the filling amount More >

  • Open Access

    ARTICLE

    Neural Network-Based State of Charge Estimation Method for Lithium-ion Batteries Based on Temperature

    Donghun Wang, Jonghyun Lee, Minchan Kim, Insoo Lee*

    Intelligent Automation & Soft Computing, Vol.36, No.2, pp. 2025-2040, 2023, DOI:10.32604/iasc.2023.034749 - 05 January 2023

    Abstract Lithium-ion batteries are commonly used in electric vehicles, mobile phones, and laptops. These batteries demonstrate several advantages, such as environmental friendliness, high energy density, and long life. However, battery overcharging and overdischarging may occur if the batteries are not monitored continuously. Overcharging causes fire and explosion casualties, and overdischarging causes a reduction in the battery capacity and life. In addition, the internal resistance of such batteries varies depending on their external temperature, electrolyte, cathode material, and other factors; the capacity of the batteries decreases with temperature. In this study, we develop a method for estimating… More >

  • Open Access

    ARTICLE

    The Bacteria Absorption-based Yolk-Shell Ni3P-Carbon @ Reduced Graphene Oxides for Lithium-Ion Batteries

    Yuhua Yang1,2, Ke Xu1, Bo Zhao1, Nana Liu1, Jun Zhou3,4,*

    Journal of Renewable Materials, Vol.9, No.5, pp. 855-865, 2021, DOI:10.32604/jrm.2021.014525 - 20 February 2021

    Abstract Traditional carbon layer enwrapping active materials cannot easily realize perfect cladding. Therefore, it still cannot prevent the pulverization of active materials during the course of charging/discharging. In this paper, we utilize natural bacteria to absorb nickel acetate, the active materials Ni3P nanoparticles are well enwrapped, as a natural organisms surviving for billions of years, their cell walls have a perfect carbon structure, and the cell walls become carbon layer through high annealing temperature. Based on this, the yolk-shell Ni3P–carbon @ reduced graphene oxides paper is prepared, through a proper annealing temperature, the Ni3P particles disperse in the… More >

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