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Article
Electrochemistry
Md Azizul Hoque et al.
Summary: In this paper, a battery lifetime degradation model is proposed at an accelerated current rate (C-rate). The model is evaluated using deep learning algorithms and it is shown that the LSTM-RNN model has superior performance at accelerated C-rate compared to the traditional FNN network.
Article
Thermodynamics
Waqas Khan et al.
Summary: An improved stacked ensemble algorithm utilizing deep learning models was proposed for accurate solar energy forecast, showing better consistency and stability across different case studies. The model demonstrated an improvement of 10%-12% in R-2 value compared to other models, providing a comprehensive assessment on four different solar generation datasets.
Article
Energy & Fuels
Issam A. Smadi et al.
Summary: This paper presents a new synchronization method using arbitrarily delayed signal cancelation (ADSC) in a second-order generalized integrator (SOGI) phase-locked loop (PLL) to mitigate the effect of DC offset. A frequency-fixed SOGI-based PLL (FFSOGI-PLL) is adopted for better stability and reduced complexity compared to other SOGI-based PLLs. Simulation and experimental results show that the proposed PLL has faster transient response and better dynamic performance than other PLLs.
PROTECTION AND CONTROL OF MODERN POWER SYSTEMS
(2022)
Article
Thermodynamics
Kuo Yang et al.
Summary: This study proposes a deep learning approach based on a dual-stage attention mechanism to improve the accuracy of state of charge (SOC) estimation for lithium-ion batteries and reduce the influence of noise. By incorporating domain knowledge features such as current, voltage, and temperature into an encoder-decoder network with gated recurrent units, useful features can be adaptively extracted. The proposed method utilizes attention mechanisms to consider the correlation of time series and accurately estimate SOC.
Article
Chemistry, Applied
Jingwei Hu et al.
Summary: This study investigates the changes in a layered cathode material during long-term fast charging and reveals the important role of polarization in rapid capacity fading. These findings contribute to a better understanding of the aging mechanism in batteries and provide benchmarks for the development of high-capacity, fast-charging cathode materials in the future.
JOURNAL OF ENERGY CHEMISTRY
(2022)
Article
Energy & Fuels
Qingrui Gong et al.
Summary: This paper proposes a novel deep neural network model based on deep learning to accurately estimate the state of charge (SOC) of lithium-ion batteries. The model extracts features, highlights key information, processes the feature sequence, and outputs the SOC estimate, demonstrating high estimation accuracy and good adaptability.
JOURNAL OF ENERGY STORAGE
(2022)
Article
Computer Science, Theory & Methods
Aji Prasetya Wibawa et al.
Summary: This study introduces a novel hybrid approach called Smoothed-CNN (S-CNN) that combines exponential smoothing with CNN, outperforming other forecasting methods such as MLP and LSTM. The results show that S-CNN is better than MLP and LSTM, achieving the best MSE of 0.012147693 with 76 hidden layers at an 80%:20% data composition.
JOURNAL OF BIG DATA
(2022)
Article
Akshit Kurani et al.
Annals of Data Science
(2021)
Article
Computer Science, Artificial Intelligence
Ning Zhang et al.
Summary: This paper presents a new trial using LSTM deep learning method to consider soil stress history and reproduce soil stress-strain behavior, comparing its performance with traditional neural networks. The results show that LSTM outperforms feedforward and feedback neural networks in terms of accuracy and convergence rate, discovering a new phenomenon of bias at low stress levels.
APPLIED SOFT COMPUTING
(2021)
Article
Engineering, Electrical & Electronic
Ying Wu et al.
Summary: With the rapid development of renewable energy resources and the Internet of Things, traditional one-way power flow is transitioning to bidirectional flow, and digitalization and decentralization are essential for achieving a transactive Energy Internet (EI). The article explores how IoT drives digitalization and how blockchain empowers decentralization in transactive EI, as well as discussing key infrastructures and challenges in implementing digitalization and decentralization.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2021)
Article
Green & Sustainable Science & Technology
Chunli Liu et al.
Summary: This paper reviews the importance of predicting the remaining useful life and estimating the state-of-charge of supercapacitors for their safe operation, emphasizing the necessity of accurate monitoring and replacement as well as precise state estimation. Various methods are summarized and compared, with a focus on data-based research and the application of artificial neural networks.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2021)
Article
Electrochemistry
Changcheng Sun et al.
Summary: A novel online joint SOC estimation method combining the FMRLS method and SPKF algorithm is proposed in this paper to dynamically identify model parameters and estimate battery SOC, which has been verified to have a high SOC estimation precision, and the addition of hysteresis effect significantly improves SOC estimation accuracy.
ELECTROCHIMICA ACTA
(2021)
Review
Energy & Fuels
Akash Samanta et al.
Summary: The highly nonlinear characteristics of lithium-ion batteries are influenced by both external and internal temperatures, which can lead to safety concerns if the temperature exceeds the safe limit set by the manufacturer. Accurate temperature information is essential for effective thermal management and proper battery management. Developing estimation strategies for temperature, balancing accuracy, adaptability, complexity, and cost, is crucial for health-conscious fast charging and smart onboard BMS.
Article
Engineering, Electrical & Electronic
M. A. Hannan et al.
Summary: In this study, a deep fully convolutional network model was proposed to accurately estimate the state-of-charge (SOC) of lithium-ion batteries, achieving impressive performance under different temperature conditions.
IEEE TRANSACTIONS ON POWER ELECTRONICS
(2021)
Article
Chemistry, Physical
Jeffery M. Allen et al.
Summary: The study develops a damage model based on NMC 532 secondary cathode particles to explore the influence of particle sizes on damage and determine charging profiles that reduce cathode fracture. It is found that small secondary particles with large grains experience significantly less damage compared to larger particles with small grains, and that most of the damage accumulates in the initial cycles.
JOURNAL OF POWER SOURCES
(2021)
Review
Engineering, Chemical
Wenlu Zhou et al.
Summary: This study categorizes and analyzes battery models and SOC estimation, providing references for future in-depth research. The paper summarizes the principles, applicable scenarios, and research progress of existing estimation algorithms, pointing out directions for improvement.
Proceedings Paper
Engineering, Electrical & Electronic
Mina Naguib et al.
Summary: This paper proposes two data-driven models for estimating the surface temperature of Li-ion batteries, with the LSTM model shown to accurately estimate temperature even under challenging low temperature and varying temperature conditions.
2021 IEEE TRANSPORTATION ELECTRIFICATION CONFERENCE & EXPO (ITEC)
(2021)
Article
Green & Sustainable Science & Technology
Xingwen Yu et al.
Summary: This article discusses the importance of renewable energy and battery storage technology in building a sustainable society, the advantages and sustainability issues of lithium-ion batteries in existing rechargeable battery technologies.
ADVANCED ENERGY AND SUSTAINABILITY RESEARCH
(2021)
Article
Computer Science, Artificial Intelligence
Changyong Yu et al.
Article
Engineering, Multidisciplinary
Dickshon N. T. How et al.
IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS
(2020)
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Computer Science, Artificial Intelligence
Matias Roodschild et al.
PROGRESS IN ARTIFICIAL INTELLIGENCE
(2020)
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Biochemical Research Methods
Jiale Liu et al.
BMC BIOINFORMATICS
(2019)
Review
Energy & Fuels
Kyle Lourenssen et al.
JOURNAL OF ENERGY STORAGE
(2019)
Article
Multidisciplinary Sciences
Muhammad Talha et al.
ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING
(2019)
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Chemistry, Physical
Ephrem Chemali et al.
JOURNAL OF POWER SOURCES
(2018)
