☆ 4.7 Article

Strong robustness and high accuracy in predicting remaining useful life of supercapacitors

APL MATERIALS (2022)

相关参考文献

注意：仅列出部分参考文献，下载原文获取全部文献信息。

Article Energy & Fuels

Stacked bidirectional LSTM RNN to evaluate the remaining useful life of supercapacitor

Chunli Liu et al.

Summary: In this study, a data-based model for predicting the remaining useful life of a supercapacitor is established using a stacked bidirectional long short-term memory recurrent neural network. Simulation results demonstrate superior performance when the number of hidden layers is 2.

INTERNATIONAL JOURNAL OF ENERGY RESEARCH (2022)

添加到收藏夹

Review Energy & Fuels

A comprehensive review on the state of charge estimation for lithium-ion battery based on neural network

Zhenhua Cui et al.

Summary: This article discusses the importance of a high-level electric vehicle field for implementing carbon neutrality policies and highlights the crucial role lithium-ion batteries play in electric vehicles. By utilizing neural network methods for SOC estimation, accurate estimation can be achieved without considering the internal state of the battery.

INTERNATIONAL JOURNAL OF ENERGY RESEARCH (2022)

添加到收藏夹

Article Chemistry, Physical

Microstructure Evolution and Improved Permeability of Ceramic Waste-Based Bricks

Wenfei Zhou et al.

Summary: This paper introduces the method of preparing all-solid-waste-based permeable bricks using waste ceramic materials, magnesium slag, and coal gangue, and evaluates their mechanical properties and water permeability. It is found that the all-solid-waste-based permeable bricks have excellent water permeability, compressive strength, and apparent porosity, which is attributed to the porous microstructure and tight adhesive force formed at a high sintering temperature.

MATERIALS (2022)

添加到收藏夹

Review Energy & Fuels

Temperature prediction of lithium-ion batteries based on electrochemical impedance spectrum: A review

Dezhi Li et al.

Summary: With the rapid development of global electric vehicles, artificial intelligence, and aerospace, the prediction of temperature in lithium-ion batteries (LIBs) has become crucial for preventing fire accidents. The current main method is to use surface temperature sensors, but it is not practical to install sensors at each cell due to cost, space, and weight issues. Therefore, the development of a new method based on electrochemical impedance spectroscopy (EIS) has become an urgent problem to be solved. This review summarizes the main methods of using EIS to predict the temperature of LIBs in recent years and discusses the advantages, disadvantages, and future development direction of different methods.

INTERNATIONAL JOURNAL OF ENERGY RESEARCH (2022)

添加到收藏夹

Article Chemistry, Inorganic & Nuclear

Antiferroelectric stability and energy storage properties of Co-doped AgNbO3 ceramics

Danni Feng et al.

Summary: By doping ions, the energy storage performance of modified AgNbO3 ceramics is improved, achieving high efficiency and recoverable energy storage. Co-doping of Bi/Sc enhances the field-induced phase transitions and suppresses ferroelectricity.

JOURNAL OF SOLID STATE CHEMISTRY (2022)

添加到收藏夹

Review Engineering, Multidisciplinary

Prediction of the Remaining Useful Life of Supercapacitors

Zhenxiao Yi et al.

Summary: Supercapacitors, as a new type of energy-storage device, are widely used in various energy storage fields due to their advantages such as fast charging and discharging, high power density, and long cycle life. However, the degradation and failure of supercapacitors in large-scale applications can negatively impact the operation of the entire system. Therefore, accurately predicting the remaining useful life of supercapacitors is crucial for maximizing efficiency and timely replacement.

MATHEMATICAL PROBLEMS IN ENGINEERING (2022)

添加到收藏夹

Article Engineering, Multidisciplinary

Data-Driven ICA-Bi-LSTM-Combined Lithium Battery SOH Estimation

Hanlei Sun et al.

Summary: A model combining incremental capacity analysis and bidirectional long- and short-term memory neural networks is proposed to predict the state of health of lithium-ion batteries, showing significant improvements in accuracy compared to single models.

MATHEMATICAL PROBLEMS IN ENGINEERING (2022)

添加到收藏夹

Review Engineering, Multidisciplinary

Hybrid Methods Using Neural Network and Kalman Filter for the State of Charge Estimation of Lithium-Ion Battery

Zhenhua Cui et al.

Summary: This review examines recent literature on estimating the state-of-charge (SOC) of lithium-ion batteries using hybrid methods of neural networks combined with Kalman filtering (NN-KF). The methods are classified into two categories and studied in terms of battery model, parameter identification, algorithm structure, and more. Recommendations are also provided for researchers in the field.

MATHEMATICAL PROBLEMS IN ENGINEERING (2022)

添加到收藏夹

Article Multidisciplinary Sciences

Revealing interfacial space charge storage of Li+/Na+/K+ by operando magnetometry

Xiangkun Li et al.

Summary: This study demonstrates the storage of ions and electrons in FeSe2 AMIBs, forming interfacial space charge layers. The reaction kinetics are hindered with increasing ionic radius, resulting in limited Fe formation and reduced space charge storage capacity.

SCIENCE BULLETIN (2022)

添加到收藏夹

Article Energy & Fuels

State of health estimation of lithium-ion battery based on improved ant lion optimization and support vector regression

Qianglong Li et al.

Summary: This paper proposes a health state estimation method based on an improved ant lion optimization algorithm and support vector regression. The method can achieve accurate estimation of the health state of lithium-ion batteries with high accuracy and robustness.

JOURNAL OF ENERGY STORAGE (2022)

添加到收藏夹

Article Thermodynamics

Aging state prediction for supercapacitors based on heuristic kalman filter optimization extreme learning machine

Dezhi Li et al.

Summary: With the advancement of renewable energy industries, the demand for energy storage systems, particularly supercapacitors, has increased significantly. In this study, a forecasting model based on extreme learning machine (ELM) and heuristic Kalman filter (HKF) algorithm was proposed to predict the capacity of supercapacitors. The results showed that the proposed HKF-ELM model outperformed other data-driven models commonly used in supercapacitor life forecasting.

ENERGY (2022)

添加到收藏夹

Article Engineering, Multidisciplinary

Simultaneous Unknown Input and State Estimation for the Linear System with a Rank-Deficient Distribution Matrix

Yu Hua et al.

Summary: This paper proposes two novel filters based on the linear minimum-variance unbiased estimation criterion to address the issue of the classical recursive three-step filter's inability to be applied in certain scenarios. One filter is designed for cases where the unknown input distribution matrix in the output equation is not of full column rank, while the other filter is developed for situations where the unknown input distribution matrix in the system equation is not of full column rank. Simulation results demonstrate that the proposed filters effectively estimate the system state and unknown input.

MATHEMATICAL PROBLEMS IN ENGINEERING (2021)

添加到收藏夹

Article Materials Science, Ceramics

High-temperature stability of dielectric and energy-storage properties of weakly-coupled relaxor (1-x)BaTiO3-xBi(Y1/3Ti1/2)O3 ceramics

Cuiying Ma et al.

Summary: Lead-free ceramics were synthesized via a solid state process, showing improved dielectric properties with higher polarization maxima and lower remnant polarization as the BYT content increased. The ceramics also exhibited good temperature stability of energy storage properties.

CERAMICS INTERNATIONAL (2021)

添加到收藏夹

Article Materials Science, Multidisciplinary

Synthesis and Catalytic Performance of a New V-doped CeO2-supported Alkali-activated-steel-slag-based Photocatalyst

Kang Le et al.

Summary: A novel V-doped CeO2-supported alkali-activated-steel-slag-based catalyst (V-CeO2/AC) exhibits high photocatalytic activity for hydrogen production from water decomposition, attributed to the interaction between V-doped CeO2 active components and FeO in the catalyst carrier. The mechanism of photocatalytic water decomposition over the V-8CeO2/AC catalyst was proposed.

JOURNAL OF WUHAN UNIVERSITY OF TECHNOLOGY-MATERIALS SCIENCE EDITION (2021)

添加到收藏夹

Article Nanoscience & Nanotechnology

Effects of A/B-Site Co-Doping on Microstructure and Dielectric Thermal Stability of AgNbO3 Ceramics

Hongpei Ran et al.

Summary: AgNbO3-based lead-free ceramics show enhanced dielectric thermal stability when co-doped with Bi3+, Zn2+, and Ti4+ via a solid-state reaction under oxygen flow. The microstructure, dielectric properties, and impedance spectra were systematically characterized, demonstrating stable dielectric properties for potential use in electronic devices.

SCIENCE OF ADVANCED MATERIALS (2021)

添加到收藏夹

Article Green & Sustainable Science & Technology

Constructing Straight Pores and Improving Mechanical Properties of Gangue-Based Porous Ceramics

Hang Xu et al.

Summary: The study proposes the preparation of highly porous ceramics from coal gangue, coal slime, and coconut palm fibers, showing potential for minimizing the impact of waste gas and wastewater pollution in the future.

JOURNAL OF RENEWABLE MATERIALS (2021)

添加到收藏夹

Article Energy & Fuels

Operational optimization of a building-level integrated energy system considering additional potential benefits of energy storage

Sai Liu et al.

Summary: The study proposes a method for optimizing the day-ahead operation of building-level integrated energy systems by considering the additional potential benefits of energy storage, leading to improved economic operation and reduced total operating costs.

PROTECTION AND CONTROL OF MODERN POWER SYSTEMS (2021)

添加到收藏夹

Article Thermodynamics

Stacked bidirectional long short-term memory networks for state-of-charge estimation of lithium-ion batteries

Chong Bian et al.

ENERGY (2020)

添加到收藏夹

Article Energy & Fuels

Deep convolutional neural networks with ensemble learning and transfer learning for capacity estimation of lithium-ion batteries

Sheng Shen et al.

APPLIED ENERGY (2020)

添加到收藏夹

Article Energy & Fuels

Hybrid genetic algorithm method for efficient and robust evaluation of remaining useful life of supercapacitors

Yanting Zhou et al.

APPLIED ENERGY (2020)

添加到收藏夹

Article Energy & Fuels

A combined method for state-of-charge estimation for lithium-ion batteries using a long short-term memory network and an adaptive cubature Kalman filter

Yong Tian et al.

APPLIED ENERGY (2020)

添加到收藏夹

Article Chemistry, Physical

Enhanced online model identification and state of charge estimation for lithium-ion battery under noise corrupted measurements by bias compensation recursive least squares

Yigang Li et al.

JOURNAL OF POWER SOURCES (2020)

添加到收藏夹

Article Thermodynamics

State-of-charge estimation of lithium-ion batteries using LSTM and UKF

Fangfang Yang et al.

ENERGY (2020)

添加到收藏夹

Article Thermodynamics

Data-driven state of charge estimation for lithium-ion battery packs based on Gaussian process regression

Zhongwei Deng et al.

ENERGY (2020)

添加到收藏夹

Article Energy & Fuels

Fault line selection in cooperation with multi-mode grounding control for the floating nuclear power plant grid

Yikai Wang et al.

PROTECTION AND CONTROL OF MODERN POWER SYSTEMS (2020)

添加到收藏夹

Article Energy & Fuels

Data-driven prediction of battery cycle life before capacity degradation

Kristen A. Severson et al.

NATURE ENERGY (2019)

添加到收藏夹

Article Thermodynamics

State-of-charge estimation of lithium-ion batteries based on gated recurrent neural network

Fangfang Yang et al.

ENERGY (2019)

添加到收藏夹

Article Green & Sustainable Science & Technology

State-of-charge estimation of lithium-ion battery using an improved neural network model and extended Kalman filter

Cheng Chen et al.

JOURNAL OF CLEANER PRODUCTION (2019)

添加到收藏夹

Article Chemistry, Physical

A low-complexity state of charge estimation method for series-connected lithium-ion battery pack used in electric vehicles

Zhongkai Zhou et al.

JOURNAL OF POWER SOURCES (2019)

添加到收藏夹

Article Energy & Fuels

A wavelet transform-adaptive unscented Kalman filter approach for state of charge estimation of LiFePo4 battery

Yanwen Li et al.

INTERNATIONAL JOURNAL OF ENERGY RESEARCH (2018)

添加到收藏夹

Article Electrochemistry

A comparative study of different equivalent circuit models for estimating state-of-charge of lithium-ion batteries

Xin Lai et al.

ELECTROCHIMICA ACTA (2018)

添加到收藏夹

Review Energy & Fuels

State of the Art of Lithium-Ion Battery SOC Estimation for Electrical Vehicles

Ruifeng Zhang et al.

ENERGIES (2018)

添加到收藏夹

Article Energy & Fuels

Long-Term Battery Voltage, Power, and Surface Temperature Prediction Using a Model-Based Extreme Learning Machine

Xiaopeng Tang et al.

ENERGIES (2018)

添加到收藏夹

Article Thermodynamics

State of charge estimation of lithium-ion batteries using optimized Levenberg-Marquardt wavelet neural network

Bizhong Xia et al.

ENERGY (2018)

添加到收藏夹

Article Thermodynamics

Adaptive sliding mode observers for lithium-ion battery state estimation based on parameters identified online

Bo Ning et al.

ENERGY (2018)

添加到收藏夹

Article Chemistry, Physical

A novel approach of battery pack state of health estimation using artificial intelligence optimization algorithm

Xu Zhang et al.

JOURNAL OF POWER SOURCES (2018)

添加到收藏夹

Article Chemistry, Physical

Combined State of Charge and State of Health estimation over lithium-ion battery cell cycle lifespan for electric vehicles

Yuan Zou et al.

JOURNAL OF POWER SOURCES (2015)

添加到收藏夹

Article Energy & Fuels

State of charge estimation of lithium-ion batteries using the open-circuit voltage at various ambient temperatures

Yinjiao Xing et al.

APPLIED ENERGY (2014)

添加到收藏夹

Article Energy & Fuels

Experimental investigation of the lithium-ion battery impedance characteristic at various conditions and aging states and its influence on the application

Wladislaw Waag et al.

APPLIED ENERGY (2013)

添加到收藏夹

Article Chemistry, Physical

Advanced mathematical methods of SOC and SOH estimation for lithium-ion batteries

Dave Andre et al.

JOURNAL OF POWER SOURCES (2013)

添加到收藏夹

Article Thermodynamics

Online model-based estimation of state-of-charge and open-circuit voltage of lithium-ion batteries in electric vehicles

Hongwen He et al.

ENERGY (2012)

添加到收藏夹

Article Automation & Control Systems

Neural Network Sliding Mode Control Based on On-Line Identification for Electric Vehicle with Ultracapacitor-Battery Hybrid Power

Jian-Bo Cao et al.

INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS (2009)

添加到收藏夹

© Peeref 2019-2024. All rights reserved.