AIP Advances最新文献_第9页

Energy storage battery state of health estimation based on singular value decomposition for noise reduction and improved LSTM neural network 基于奇异值分解降噪和改进型 LSTM 神经网络的储能电池健康状态估计

IF 1.6 4区物理与天体物理

AIP Advances Pub Date : 2024-09-03 DOI: 10.1063/5.0217697

Tao Chen, Shaohong Zheng, Linjia Xie, Xiaofei Sui, Fang Guo, Wencan Zhang

{"title":"Energy storage battery state of health estimation based on singular value decomposition for noise reduction and improved LSTM neural network","authors":"Tao Chen, Shaohong Zheng, Linjia Xie, Xiaofei Sui, Fang Guo, Wencan Zhang","doi":"10.1063/5.0217697","DOIUrl":"https://doi.org/10.1063/5.0217697","url":null,"abstract":"Accurate estimation of the State of Health (SOH) of batteries is important for intelligent battery management in energy storage systems. To solve the problems of poor quality of data features as well as the difficulty of model parameter adjustment, this study proposes a method for estimating the SOH of lithium batteries based on denoising battery health features and an improved Long Short-Term Memory (LSTM) neural network. First, in this study, three health features related to SOH decrease were selected from the battery charge/discharge data, and the singular value decomposition technique was applied to the noise reduction of the features to improve their correlation with the SOH. Then, the whale optimization algorithm is improved using cubic chaotic mapping to enhance its global optimization-seeking capability. Then, the Improved Whale Optimization Algorithm (IWOA) is used to optimize the model parameters of LSTM, and the IWOA-LSTM model is applied to the battery SOH estimation. Finally, the model proposed in this research is validated against the Center for Advanced Life Cycle Engineering (CALCE) battery dataset. The experimental results show that the prediction error of battery SOH by the method proposed in this study is less than 0.96%, and the prediction error is reduced by 49.42% compared to its baseline model. The method presented in the article achieves accurate estimation of the SOH, providing a reference for practical engineering applications.","PeriodicalId":7619,"journal":{"name":"AIP Advances","volume":"158 1","pages":""},"PeriodicalIF":1.6,"publicationDate":"2024-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142185421","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Restoration of misty images based on wavelet transform and atmospheric scattering model 基于小波变换和大气散射模型的迷雾图像复原

IF 1.6 4区物理与天体物理

AIP Advances Pub Date : 2024-08-30 DOI: 10.1063/5.0219235

Pengcheng Liu

{"title":"Restoration of misty images based on wavelet transform and atmospheric scattering model","authors":"Pengcheng Liu","doi":"10.1063/5.0219235","DOIUrl":"https://doi.org/10.1063/5.0219235","url":null,"abstract":"In conditions of low visibility, the scattering effect of atmospheric particles can result in images captured by cameras exhibiting a number of problems, including reduced contrast, color distortion, and blurred details. These issues can have a significant impact on the clarity and recognition of the images. In response to these issues, this study combines atmospheric scattering models with wavelet transform, introduces non-blind deconvolution algorithms and, finally, designs a special gamma correction function to ultimately develop a new foggy image restoration model. The relevant outcomes showed that when the dehazing model processed most image samples, its edge preservation was mainly concentrated in a relatively high range, namely [0.80, 0.96]. From the perspective of the structural similarity index, the discrete wavelet transform achieved the highest value of 0.8264. In addition, the peak signal-to-noise ratio of the improved gamma correction function was 18.346. The proposed algorithm for restoring foggy images has the advantages of high clarity, strong color restoration ability, and fast restoration speed, providing more reliable and efficient image data support for applications in related fields.","PeriodicalId":7619,"journal":{"name":"AIP Advances","volume":"7 1","pages":""},"PeriodicalIF":1.6,"publicationDate":"2024-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142224309","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A novel hybrid framework for predicting the remaining useful life of energy storage batteries 预测储能电池剩余使用寿命的新型混合框架

IF 1.6 4区物理与天体物理

AIP Advances Pub Date : 2024-08-29 DOI: 10.1063/5.0221822

Yuheng Yin, Minghui Yang, Jiahao Song

{"title":"A novel hybrid framework for predicting the remaining useful life of energy storage batteries","authors":"Yuheng Yin, Minghui Yang, Jiahao Song","doi":"10.1063/5.0221822","DOIUrl":"https://doi.org/10.1063/5.0221822","url":null,"abstract":"Accurate prediction of the remaining useful life (RUL) of energy storage batteries plays a significant role in ensuring the safe and reliable operation of battery energy storage systems. This paper proposes an RUL prediction framework for energy storage batteries based on INGO-BiLSTM-TPA. First, the battery’s indirect health index is extracted by combining principal component analysis and the Pearson correlation coefficient in the battery charge/discharge cycle data. Second, for the problem that the Northern Goshawk Optimization (NGO) algorithm is prone to falling into local optimum, the Gaussian variation mechanism and nonlinear hunting radius are introduced to improve the NGO algorithm, and the Improved Northern Goshawk Optimization (INGO) algorithm is proposed. Finally, the temporal pattern attention (TPA) mechanism is introduced in the bi-directional long short-term memory (BiLSTM), which makes the model weighted to focus on the features of important time steps, and the INGO algorithm is applied to it to build the RUL prediction framework. Based on the CALCE battery dataset, the root-mean-square error (RMSE) of RUL prediction based on the proposed framework is controlled within 1.3%, which provides better prediction accuracy and generalization.","PeriodicalId":7619,"journal":{"name":"AIP Advances","volume":"26 1","pages":""},"PeriodicalIF":1.6,"publicationDate":"2024-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142224310","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Current-induced domain wall motion driven by spin–orbit torque and Dzyaloshinskii–Moriya interaction in Pt/GdFeCo and Rh/GdFeCo wires Pt/GdFeCo 和 Rh/GdFeCo 金属丝中由自旋轨道力矩和 Dzyaloshinskii-Moriya 相互作用驱动的电流诱导畴壁运动

IF 1.6 4区物理与天体物理

AIP Advances Pub Date : 2024-08-29 DOI: 10.1063/5.0210487

Pham Van Thach, Satoshi Sumi, Kenji Tanabe, Hiroyuki Awano

引用次数: 0

Toward a renewable future: Attaining 100% renewable electricity generation through sustainable transition 迈向可再生的未来：通过可持续转型实现 100% 可再生能源发电

IF 1.6 4区物理与天体物理

AIP Advances Pub Date : 2024-08-29 DOI: 10.1063/5.0208838

Rohan Kumar, Muhammad Asim, Ammara Kanwal, Muhammad Jawad, Mohsin Pervez

{"title":"Toward a renewable future: Attaining 100% renewable electricity generation through sustainable transition","authors":"Rohan Kumar, Muhammad Asim, Ammara Kanwal, Muhammad Jawad, Mohsin Pervez","doi":"10.1063/5.0208838","DOIUrl":"https://doi.org/10.1063/5.0208838","url":null,"abstract":"Despite efforts made over the past two decades, Pakistan continues to face electricity crises. The heavy reliance on fossil fuels, which make up 60% of the country’s energy mix, has raised concerns about energy security and environmental degradation due to greenhouse gas (GHG) emissions. Developing effective electricity generation scenarios has been challenging for policymakers and researchers, despite the steady increase in electricity demand. The LEAP software was used in this study to forecast the country’s power demand, and four supply-side scenarios were constructed and examined for the years 2018 through 2040. These scenarios include a baseline scenario, a renewable energy scenario, a more renewable energy scenario, and a near-zero emission scenario, focusing on electricity generation and carbon emissions. The study’s findings, projecting into 2040, indicate that the renewable energy scenarios are environmentally sustainable, with lower GHG emissions compared to the baseline scenario. According to the findings of this study, it is projected that around 615 TWh (terawatt-hours) of renewable energy and nuclear energy will be necessary by the year 2040. The anticipated contributions include 393 TWh from hydroelectric energy, 57 TWh from wind energy, 41 TWh from solar energy, and 62 TWh from other renewable sources. The surge in renewable energy is forecasted to bring near-zero CO2 emissions by 2040, a pivotal step toward a sustainable energy future. A projected energy generation of 615 TWh is expected, which adequately meets the country’s energy demand. Transition to renewable energy is critical for addressing Pakistan’s increasing electricity demands, emphasizing both energy security and environmental sustainability.","PeriodicalId":7619,"journal":{"name":"AIP Advances","volume":"29 1","pages":""},"PeriodicalIF":1.6,"publicationDate":"2024-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142185423","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Multiple dynamic modes of Bicoid morphogen gradient are explained by a quantum-classical model 量子经典模型可解释双核形态发生梯度的多种动态模式

IF 1.6 4区物理与天体物理

AIP Advances Pub Date : 2024-08-29 DOI: 10.1063/5.0221207

Irfan Lone, Carl O. Trindle

引用次数: 0

Investigation on materials removal rate and surface roughness of temperature resisted Waspaloy during electric spark machining utilizing gray relational analysis 利用灰色关系分析法研究电火花加工过程中抗温型 Waspaloy 的材料去除率和表面粗糙度

IF 1.6 4区物理与天体物理

AIP Advances Pub Date : 2024-08-29 DOI: 10.1063/5.0220951

G. Veerappan, Kamaraj Logesh, V. Mohanavel, M. Ravichandran, Ahmed Ahmed Ibrahim, Salahuddin Khan, S. Suresh Kumar, Sathish Kannan, Jayant Giri

{"title":"Investigation on materials removal rate and surface roughness of temperature resisted Waspaloy during electric spark machining utilizing gray relational analysis","authors":"G. Veerappan, Kamaraj Logesh, V. Mohanavel, M. Ravichandran, Ahmed Ahmed Ibrahim, Salahuddin Khan, S. Suresh Kumar, Sathish Kannan, Jayant Giri","doi":"10.1063/5.0220951","DOIUrl":"https://doi.org/10.1063/5.0220951","url":null,"abstract":"Waspaloy, a nickel-based super alloy, has much potential in gas turbine component production. Machining this type of material using the traditional manufacturing method is very hard. Hence, electrical discharge machining (EDM) was selected for the investigation of the machining characteristics of Waspaloy by choosing the control parameters, namely, current, voltage, pulse on time, pulse off time, and spark gap. Gray relational analysis is carried out using 18 experiments according to an orthogonal array (L18) to determine the gray relation grade for this machining process with multiple machining characteristics such as material removal rate (MR), tool wear rate (TW), and surface roughness (SR). The significant objective of the multi objective optimization to attain high MR, low TW, and low SR is found out. From gray relation optimization, the optimum machining conditions for EDM, namely, current: 26 A, voltage: 200 V, pulse on time: 120 μs, pulse on time: 10 μs, and spark gap: 0.15 m, have been identified. The foremost parameter affecting the responses was found to be peak current.","PeriodicalId":7619,"journal":{"name":"AIP Advances","volume":"41 1","pages":""},"PeriodicalIF":1.6,"publicationDate":"2024-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142224313","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Analysis of space charge and current characters of oil-immersed-paper with simultaneous measurement 通过同步测量分析油浸纸的空间电荷和电流特性

IF 1.6 4区物理与天体物理

AIP Advances Pub Date : 2024-08-09 DOI: 10.1063/5.0215303

Yuntong Ma, Zepeng Lv, Yining Zhang, Jinyang Peng, Yi Ge, Kai Wu, Yonghong Cheng

{"title":"Analysis of space charge and current characters of oil-immersed-paper with simultaneous measurement","authors":"Yuntong Ma, Zepeng Lv, Yining Zhang, Jinyang Peng, Yi Ge, Kai Wu, Yonghong Cheng","doi":"10.1063/5.0215303","DOIUrl":"https://doi.org/10.1063/5.0215303","url":null,"abstract":"To study the current response to space charge in oil–paper insulation, a simultaneous space charge and external current measurement system are developed for a solid–liquid sample. The space charge and external current of oil-immersed paper are tested under different applied voltages. In the oil–paper sample, it accumulates heterocharge at 0.25 kV and homocharge at a higher voltage. The external currents first decrease and then increase with time. The changing timepoint decreases with the applied voltage. It shows that dynamic space charge evolution influences external current development. An unusual phenomenon is observed that the charge on both electrodes increases without heterocharge accumulation in a certain time range after voltage application, resulting in an increase in the average electric field. The transient electric field and displacement current at the cathode are calculated according to the amount of surface charge at the cathode. It indicates that displacement current takes up the main part of external current and decreases to zero when the surface charge amount stops increasing. After this stage, the conduction current is almost equal to the external current. The correlation between conduction current and electric field is analyzed. It reveals that when the electric field is lower than 5 kV/mm, the conduction current of oil–paper seems to be linear to the electric field strength, following Ohm’s law. When the electric field is higher than 5 kV/mm, the conduction current of oil–paper follows the Fowler–Nordheim law that the ln(jc/E2) is linear to 1/E. The transient external current has great potential in diagnosing electrical equipment.","PeriodicalId":7619,"journal":{"name":"AIP Advances","volume":"18 1","pages":""},"PeriodicalIF":1.6,"publicationDate":"2024-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141943463","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Analyzing the dynamic behavior of the Gierer–Meinhardt model using finite difference method 用有限差分法分析吉勒-梅因哈特模型的动态行为

IF 1.6 4区物理与天体物理

AIP Advances Pub Date : 2024-08-09 DOI: 10.1063/5.0223717

Jianping Lv, Hefang Jing

{"title":"Analyzing the dynamic behavior of the Gierer–Meinhardt model using finite difference method","authors":"Jianping Lv, Hefang Jing","doi":"10.1063/5.0223717","DOIUrl":"https://doi.org/10.1063/5.0223717","url":null,"abstract":"In this paper, a numerical computation method for the Gierer–Meinhardt model in two-dimensional space diffusion with homogeneous Neumann boundary conditions, considering the interaction between activator and inhibitor substances, is proposed. First, a high-order compact finite difference scheme is constructed for the Gierer–Meinhardt model using the finite difference method. A fourth-order compact difference scheme is applied to the second-order spatial derivative terms, while the time derivative terms are discretized using Taylor series expansion and residual correction functions. Consequently, the difference scheme achieves fourth-order accuracy in space and second-order accuracy in time for the Gierer–Meinhardt model. In addition, the stability of the difference scheme is demonstrated using Fourier analysis. Finally, numerical simulations are conducted on the Gierer–Meinhardt model near its equilibrium point to explore the impact of the inhibitor degradation rate, denoted as E, on the pattern formation. The model exhibits distinct pattern structures with varying E, thereby revealing the relationship between tissue variability and pattern formation in biological systems.","PeriodicalId":7619,"journal":{"name":"AIP Advances","volume":"72 1","pages":""},"PeriodicalIF":1.6,"publicationDate":"2024-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141943490","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Programmable transmission metasurface scattering control under obstacles based on deep learning 基于深度学习的障碍物下可编程传输元表面散射控制

IF 1.6 4区物理与天体物理

AIP Advances Pub Date : 2024-08-09 DOI: 10.1063/5.0217386

Kai Wang, Jiwei Zhao, Zhangyou Yang, Peixuan Zhu, Huan Lu, Bin Zheng

引用次数: 0