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Research on a real-time control strategy of battery energy storage system based on filtering algorithm and battery state of charge

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SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS 2021年 47卷 101524-101524页

作者： Zhu, Lianghong Lian, Guoyun Hu, Songhua Shenzhen Polytech Sch Automot & Transportat Engn Shenzhen Guangdong Peoples R China Shenzhen Polytech Sch Artificial Intelligence Shenzhen Guangdong Peoples R China

With the continuous development of battery technology, some practical problems are constantly emerging. How to improve the output power fluctuation of the power supply by improving the battery energy storage system, so as to obtain the output power of the battery power supply is an urgent need to solve The problem, in the process of battery use, by calculating the power output of the energy storage system, in the process of determining the real-time control of the battery energy system, the real-time control strategy of the battery energy storage system based on the filtering algorithm and the battery state of charge is used to reduce the battery The depth of charge and discharge can control the fluctuation of the state of charge of the battery, improve the smoothing effect, and extend the battery life.

关键词： filtering algorithm Battery power status Battery energy storage Control strategy

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SAR filtering algorithm for Detecting Terrain Relief Targets

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IEEE GEOSCIENCE AND REMOTE SENSING LETTERS 2023年 20卷 1页

作者： Li, Yanjun Xiang, Wei Chen, Wendong Beijing Inst Remote Sensing Equipment Beijing 100039 Peoples R China

Synthetic aperture radar (SAR) is a powerful tool for all-weather, all-day observation, but it is susceptible to interference in the echo phase, particularly from the nonlinear phase caused by terrain relief. This can cause defocus and target position movement, which can impact the accuracy and recognition ability of SAR imaging. While current research focuses on using digital elevation models (DEMs) to correct the phase, obtaining high-precision DEM data requires significant measurement and processing work. To address this, we propose a new SAR filtering algorithm based on the terrain echo phase. By studying the phase of a SAR echo signal containing elevation information, we divide the nonlinear phase caused by terrain echo into two components: one that varies with azimuth and one that does not. We filter out the nonlinear phase component dependent on the azimuth angle from the echo phase and eliminate the nonlinear phase component invariant with the azimuth angle by filtering the specific pitch angle. The effectiveness of this filtering algorithm is verified through theoretical analysis and simulation.

关键词： filtering algorithm nonlinear phase pitch angle synthetic aperture radar (SAR) topographic relief

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Research on filtering algorithm of Vehicle Dynamic Weighing Signal

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WORLD ELECTRIC VEHICLE JOURNAL 2024年第6期15卷 254页

作者： Xiong, Lingcong Zhang, Tieyi Yuan, Anlu Zhang, Zhipeng Guangxi Univ Sch Mech Engn Nanning 530004 Peoples R China

This study analyzes the advantages and disadvantages of filtering algorithms for dynamic weighing signals. Highway road surface has road surface unevenness and other influencing factors. The body vibration of the vehicle driving process produces a certain amount of interference signals collected by the load cell to form noise signals. In addition, piezoelectric sensors and amplification circuits introduce a large amount of electrical noise. These noise signals are non-smooth, nonlinear, and have other characteristics. We study the filtering effects of moving average (MA), wavelet transform (WT), and variational mode decomposition (VMD) filtering algorithms on axle weight signals and evaluate the performance of the filtering algorithms through the Root Mean Square Error (RMSE), signal-to-noise ratio (SNR), and Normalized Correlation Coefficient (NCC). The comprehensive analysis shows that the variational modal decomposition filtering algorithm is more advantageous for axial weight signal processing. The design of the axle weight signal noise filtering algorithm is of great significance for improving the accuracy of the overall dynamic weighing system of the vehicle.

关键词： dynamic weighing filtering algorithm noise signals axle weight signal moving average wavelet transform variational modal decomposition

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A Point Clouds filtering algorithm Based on Grid Partition and Moving Least Squares

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Procedia Engineering 2012年 28卷 476-482页

作者： Liu Changjun Li Jian Zhang Shunfu Ding Liuqian China Institute of Water Resources and Hydropower Research A-1 Fuxing RoadHaidian District Beijing 100038 China School of Remote Sensing and Information Engineering Wuhan University 16 Jiashan Road Wuchang District Wuhan 430079 China

A point clouds filtering algorithm is presented based on Grid Partition using Dynamic Quad Tress and Moving Least Squares. First, points are partitioned reasonably and corresponding Dynamic Quad Trees indices are established. Second, points in grids are utilized to fit a DEM reference plane using moving least squares technology. Finally, ground points are separated from those non-ground ones if they are positioned above the reference plane and have a distance to the plane exceeding threshold value. Experiments show that this filtering algorithm is of high precision and identify ground points effectively without losing detailed topography information.

关键词： Lidar point clouds filtering algorithm dynamic quad trees spatial index moving least squares

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Study on the Heart Sound Signal Denoising Technology based on Integrated filtering algorithm

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International English Education Research 2013年第12期 93-95页

In the previous studies of heart sounds, the calculation model of small waveform is often used, and new waveform graph is formed through the decomposition and restructuring of small waveform so as to remove the noise from the new waveform. There are a lot of shortcomings in the use of such a method. The features of new waveform are difficult to be controlled, and thus the noise generated by the wave and the interference of wave will be disturbed by the filter to certain degree. In this paper, the integrated faltering algorithm is introduced, and a wave can be used in the studied use of small waveform, and also the high-order algorithm in mathematics is used, so that the frequency is controlled in a certain range, the frequency of heart sounds to be interfered is effectively reduced, and also the harmonic harm generated by the waveform is considered. After the signal sources are protected with some technologies, the effect of filtering and denoising is eventually achieved.

关键词： Integrated filtering algorithm Heart Sounds Denoising Technology filtering algorithm

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Empirical Model Based on New filtering algorithm for High-Speed-Train Channels

Empirical Model Based on New Filtering Algorithm for High-Sp...

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IEEE Wireless Communications and Networking Conference (WCNC)

作者： Liu, Yueliang Li, Yuhui Zhang, Xiang Wang, Wenbo Beijing Univ Posts & Telecommun Key Lab Universal Wireless Commun Minist Educ Wireless Signal Proc & Network Lab Beijing 100876 Peoples R China China Acad Informat & Commun Technol Beijing Peoples R China

ISBN: (纸本)9781509041831

To meet the increasing demand for passengers in high-speed train (HST) system, it is critical to develop the understanding of properties in HST propagation environment. This paper derives a new channel model for HST by conducting a measurement campaign in a commercial HST network at 1.905 GHz in China from Beijing to Tianjin. A median average filtering (MAF) algorithm is proposed to remove the effect of multipath on the analysis in large-scale parameters. Meanwhile, spatial autocorrelation and parameters of shadow fading are researched associated with the existing topology of HST network. Furthermore, the performance of the proposed method is evaluated and compared with local mean filtering algorithm that followed Lee's law by proceeding both goodness-of-fit (GoF) and Kolmogorov-Smirnov (KS) tests. The results indicate that the proposed method can precisely estimate the channel model parameters and provide a better fitting to the measured data. Thus, the channel model developed in this paper can be useful as a guide to characterize the propagation channel in HST environment.

关键词： High-speed train (HST) path loss shadow fading filtering algorithm goodness-of-fit (GoF)

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A filtering algorithm for Constrained Clustering with Within-Cluster Sum of Dissimilarities Criterion

A Filtering Algorithm for Constrained Clustering with Within...

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International Conference on Tools with Artificial Intelligence

作者： Thi-Bich-Hanh Dao Khanh-Chuong Duong Christel Vrain Univ. Orleans ENSI de Bourges LIFO

ISBN: (纸本)9781479929733

Constrained clustering is an important task in Data Mining. In the last ten years, many works have been done to extend classical clustering algorithms to handle user-defined constraints, but restricted to handle one kind of user-constraints. In a previous work [1], we have proposed a declarative and generic framework, based on Constraint Programming, which enables to design a clustering task by specifying an optimization criterion and different kinds of user-constraints. One of the criteria is the within-cluster sum of dissimilarities, which is represented by a sum constraint and reified equality constraints V = ∑_(1≤ifiltering algorithm for it. This filtering helps to improve significantly the model performance. Experiments on classical databases show the interest of our approach.

关键词： Constrained clustering Modeling filtering algorithm

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Research on Adaptive filtering algorithm

Research on Adaptive Filtering Algorithm

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2011 International Conference on Energy and Environment(ICEE 2011)

作者： Zhanchun Ma Xiaomei Ning Jie Cui School of Science Qiqihar University Computer Department Qiqihar Medical College

LMS algorithm and RLS algorithms are used in adaptive FIR filters in this paper. The experimental conditions and parameter were set. Simulation results show that the LMS algorithm convergence slower, but guarantees the stability and low complexity, suitable for speed demand is not high, low cost systems applications, RLS algorithm can achieve rapid convergence, suitable for application in environmental change faster system, but calculating relative complex and poor stability.

关键词： FIR LMS RLS filtering algorithm

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The filtering algorithm Based on Spatial Correlation for Echo of Ultrasonic in Detecting Defects of Bonding Interface of Thin Composite Plate

The Filtering Algorithm Based on Spatial Correlation for Ech...

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2010 International Colloquium on Computing,Communication, Control, and Management (CCCM2010)

作者： Xiu-fei Wang College of Electronic Information and Engineering Inner Mongolia University Hohhot P.R.China Ze Zhang College of Electronic Information and Engineering Inner Mongolia University Hohhot P.R.China

Based on spatial correlation filtering,an advanced approach,which selects strategies according to different noise thresholds and practises correlation process in low-frequency and high frequency bands of wavelet decomposition,is proposed for denoising echo of ultrasonic wave which detects defects in bonding interface of thin composite ***,the echo signals with noises should be transformed by wavelet ***,correlation functions of approximated coefficients and detail coefficients are calculated separately. Finally,the noise energy threshold coefficients are introduced separately in low-frequency and high frequency *** algorithm will be terminated by setting the appropriate *** under different SNR demonstrate that strong interference can be effectively filtered and the original characteristics of the signal can be well preserved by this *** improvement can also be applied to denoising of other signals with strong interference.

关键词： ultrasonic detecting echo signals filtering algorithm spatial correlation

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Adaptive interacting multiple model particle filter based on a dual-pattern bat algorithm for maneuvering target tracking

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PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART G-JOURNAL OF AEROSPACE ENGINEERING 2025年第4期239卷 293-311页

作者： Tian, Mengchu Chen, Zhimin Fang, Yubin Nanjing Univ Sci & Technol Sch Intelligent Mfg 200 Xiaolingwei St Nanjing 210094 Peoples R China China Satellite Maritime Tracking & Controlling De Jiangyin Peoples R China

The interacting multiple model particle filter (IMM-PF) is a filtering method commonly used for nonlinear non-Gaussian radar systems. Its transfer probabilities are usually fixed and dependent on prior information. When tracking maneuvering targets, the IMM-PF may cause excessive tracking errors due to the model switching lag. In addition, the particle impoverishment caused by the resampling of the particle filter seriously affects the filtering accuracy. Therefore, the IMM-PF has difficulty meeting the accuracy and speed requirements of modern high-performance radar target tracking systems. To address these problems, an adaptive interacting multiple model particle filter based on the dual-pattern bat algorithm (ADIMM-DPBA-PF) is proposed for tracking maneuvering targets under nonlinear and non-Gaussian conditions. First, the adaptive model switching mechanism is established to adjust the transition probabilities using the model probability posterior information at consecutive times, improving the model switching efficiency. Second, a particle filter based on the dual-pattern bat algorithm (DPBA-PF) is proposed. The filter exploits global search and local search strategies to optimize the particles and intelligently move the particles to the high likelihood region. Finally, a particle filter based on the dual-pattern bat algorithm is used to form the adaptive interacting multiple model method. The experimental results show that the proposed algorithm has better comprehensive performance than the IMM-PF.

关键词： Interacting multiple model maneuvering target tracking particle filter bat algorithm filtering algorithm

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