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Modelling and simulation of Lithium-Ion Battery with Thermal Dependence

Modelling and Simulation of Lithium-Ion Battery with Thermal...

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Industrial Electronics: Developments & applications (ICIDeA), IEEE international conference on-

作者： Shreyasee Ghosh Kantipudi VVSR Chowdary Subrat Behera School of Electrical Engineering Kalinga Institute of Industrial Technology Bhubaneswar India

ISBN: (数字)9798331533205

ISBN: (纸本)9798331533212

The growing demand for high-performance lithium-ion batteries in applications including power tools, grid storage, and electric vehicles calls for the creation of precise and trustworthy models for battery simulation and characterization. It emphasizes the need for precise models to simulate and characterize battery behavior. In this paper a comprehensive approach using a Three-Resistor-Capacitor (3-RC) equivalent circuit model to simulate lithium-ion batteries, focusing on their electrochemical charge/discharge mechanisms is presented. During a series of 31A discharge pulses, the cell potential decreases as the SOC started declining. The model effectively replicates capacity degradation, efficiency losses, and thermal management, contributing to safer, more durable, and efficient battery systems. The simulation successfully tracks open-circuit voltage (OCV) decline and replicates nine discharge pulses, demonstrating its accuracy in capturing system dynamics. The streamlined approach of the equivalent circuit model makes it an excellent choice when developing both control algorithms and system-level models. This simulation framework developed is an approach to optimize Li-ion battery management systems and to find means of advancement of future Li-ion technologies.

关键词： Lithium-ion batteries Electric potential Thermal resistance Electric vehicles Discharges (electric) Batteries State of charge Integrated circuit modeling Vehicle dynamics Equivalent circuits

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Multiphysics Blast simulation for 3D UAV Control applications

Multiphysics Blast Simulation for 3D UAV Control Application...

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international conference on Unmanned Aircraft Systems (ICUAS)

作者： Surabhi Parab Jincheng Zhang Andrew Willis Electrical and Computer Engineering University of North Carolina at Charlotte Charlotte NC USA

ISBN: (数字)9798331513283

ISBN: (纸本)9798331513290

This paper presents a novel simulation framework designed for high-fidelity multi-physics simulation of shock waves due to blast phenomena. The framework includes simulation of the physical pressure wave and the acoustic and visual phenomena associated with the blast event using the Gazebo environment. The framework integrates advanced technologies, including the Robot Operating System (ROS), QGroundControl, and PX4 Software-In-The-Loop (SITL), to synchronize visual, acoustic, and dynamic pressure data, ensuring realistic and efficient simulations. A key innovation in this framework is the use of a client-server architecture, which enables realtime adjustments and precise multimedia data synchronization, effectively minimizing latency and improving overall simulation quality and allowing multi-vehicle simulations in a single virtual scene. The specialized plugins employed for rendering and acoustic modeling capture the intricate dynamics of explosions, enhancing the realism of visual and auditory representations. Creation of this technology allows development of control algorithms that improve autonomous vehicle control algorithms in the presence of extreme perturbations with impacts in autonomous vehicle safety and defense sectors. The proposed framework offers a robust solution for interactive simulations, demonstrating significant advancements in both the fidelity and applicability of blast effect modeling.

关键词： Training Visualization Three-dimensional displays Heuristic algorithms Autonomous aerial vehicles Acoustics Real-time systems Safety Synchronization Vehicle dynamics

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Artificial Intelligence (AI) for Crash Risk Forecasting During Automotive Crash simulations

Artificial Intelligence (AI) for Crash Risk Forecasting Duri...

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AIML-applications for Engineering & Technology (ICAET), international conference on

作者： Ashwini Salunkhe Nilesh R. Kolhalkar Department of Mechanical Engineering MKSSS's Cummins College of Engineering for Women Pune India

ISBN: (数字)9798350355611

ISBN: (纸本)9798350355628

Artificial Intelligence (AI) in automobile crash simulations is one of the important steps toward making cars safer and engineering more impeccable. The paper focuses on applying AI techniques, Machine Learning (ML) and Artificial Neural Networks (ANN), toward rendering the crash simulation process more efficient, accurate, and predictive. Traditional methods of crash simulation are heavily dependent on Finite Element Analysis (FEA), which, though effective, could turn time-consuming and, at the same time, very computationally expensive. AI-driven approaches offer a very promising avenue of research into large datasets for predicting the outcomes of crashes, material property optimization, and vehicle design improvement. Some of the critical methodologies focused on the present research relate to the development and training of AI models based on real-world crash data and high-fidelity simulation results. Further, the reduction cycle time and associated cost of development testing for crashworthiness purposes with the aid of AI has been discussed. Results show that AI has immense potential for enhancing the strength and reliability of crash simulations and therefore bringing about safe, efficient automobile designs. Future research directions will also see a combination of AI and real-time data from sensor-equipped vehicles in a bid to provide adaptive safety systems, further improving autonomous vehicle technology.

关键词： Adaptation models Accuracy Computational modeling Vehicle safety Machine learning Artificial neural networks Predictive models Automobiles Artificial intelligence Accidents

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Intelligent Hybrid System with Bidirectional Energy Flow in PEMFC Powered BLDCM Drive and Batteries

Intelligent Hybrid System with Bidirectional Energy Flow in ...

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Advances in Computer Science, Electrical, Electronics, and Communication technologies (CE2CT), international conference on

作者： Garima Ranjan Anand K.B. Yadav Department of Electrical Engineering National Institute of Technology Jamshedpur India

ISBN: (数字)9798331518578

ISBN: (纸本)9798331518585

The promise of increased efficiency and dependability has drawn much attention to hybrid energy systems combining several energy sources. This study suggests integrating a fuel cell, a battery system through a bidirectional converter (BDC), and a brushless DC (BLDC) motor for electric vehicle applications. The battery system functions as a buffer, storing extra energy and supplying power during periods of high demand or sporadic circumstances, while the fuel cell (FC) serves as the main power source, generating energy continuously. A BDC effectively manages power flow between the fuel cell, battery, and load, allowing a smooth transition between charging and discharging modes. A BLDC motor is also used for mechanical work or propulsion since it is extremely efficient, requires little maintenance, and has accurate speed control. By combining these elements, a flexible hybrid energy system can be created that maximizes energy efficiency, improves system resilience, and has a smaller overall environmental effect. This work highlights the potential of the suggested system for multiple applications in both fixed and mobile environments by discussing its design considerations, control methodologies, and performance analysis. The integrated FC, battery, BDC, and BLDC motor systems are both effective and feasible through simulation results; this has opened the door for creating sustainable and efficient energy solutions for the modern world. The circuit is simulated on MATLAB Simulink software and the results are discussed.

关键词： Software packages simulation Velocity control Fuel cells Supercapacitors Motors Energy efficiency Batteries Sensors MATLAB

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modeling and Creating a Geoportal for Managing Drinking Water Networks: Ben M’sik Urbain’s Group Greater Casablanca as a Case Study

Modeling and Creating a Geoportal for Managing Drinking Wate...

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international conference on Smart Business and technology, ICSBT 2024

作者： El Bennani, Kaoutar Mouncif, Hicham El Bachaoui, Mostafa Chakouri, Mohcine Elharti, Abderrazak Derouich, Rabab El Hakmi, Saliha Remote Sensing and Geographical Information Systems Applied to the Geosciences and the Environment Faculty of Sciences and Technology University Sultan Moulay Slimane Beni Mellal Morocco Multidisciplinary Faculty University Sultan Moulay Slimane Beni Mellal Morocco National School of Management Oujda Morocco

ISBN: (纸本)9783031866975

The goal of this study is to model a drinking water network and provide a novel geomatics 13 solution to control it using an efficient mechanism: lizmap, an Open Source webGIS application, the 14 most popular and well-known free, also a plugin used with QGIS to publish maps online. The join 15 of QGIS and Lizmap guarantees an easy way to create a free and open-source Web-GIS. Due to 16 technical issues with water supply and the growth of the population concentration in the urban 17 grouping of Ben M’sik District of the city of Casablanca, sustainable management, optimization of 18 the performance of the drinking water system, and reduction of losses, have generated a variety of 19 strategies for exploiting existing geoportal-based technologies for managing these networks and 20 their intervention orders. By utilizing these applications, Casablanca might enter the ranks of intel- 21 ligent cities. Only management using geomatics solution by creating a geoportal for the administra- 22 tion of drinking water that is capable of addressing these issues can improve knowledge of the drinking water equipment as well as the detection of disorders that occur, the simulation of opera- 24 tions, the design of extensions, the decision-making to the location choice and future situation of the 25 network. The goal of this study is to model a drinking water network and provide a novel geomatics 26 solution to control it using an efficient mechanism: lizmap, an Open Source webGIS application, 27 and a plugin used with QGIS to publish maps online. Due to technical issues with water supply in 28 the city of Casablanca. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Decision making

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Security Key Generation in SRAM based PUF for Cryptographic applications

Security Key Generation in SRAM based PUF for Cryptographic ...

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Advances in Electrical, Computing, Communication and Sustainable technologies (ICAECT), international conference on

作者： Pushpa Raikwal Nipun Gupta Nikhil Agarwal Mahima Maheshwari Neelam Dayal Department of Electronics and Communication Engineering PDPM Indian Institute of Information Technology Design and Manufacturing Jabalpur Madhya Pradesh India Department of Computer Science and Engineering PDPM Indian Institute of Information Technology Design and Manufacturing Jabalpur Madhya Pradesh India

ISBN: (数字)9798350356236

ISBN: (纸本)9798350356243

This work meticulously focusses on SRAM designing and to verify its functionality as a PUF. It exploits the inherent manufacturing variations present in SRAM cells to generate unique start-up values, then utilizes them to producea cryptographic key. The design process induced mismatches in the inverters to enhance variability in the SRAM cells. Further this work focused on generating start-up values of SRAM based PUF in three methods: ideal state, practical state and by analyzing PUF Static Noise Margin (PSNM). Through these simulations, it is confirmed that the start-up values of the SRAM cells could be effectively utilized to generate a unique cryptographic key. All design and simulation tasks were conducted using Cadence Virtuoso, a sophisticated tool for integrated circuit design and verification at 90nm CMOS technology node.

关键词： Semiconductor device modeling Protocols Noise Authentication SRAM cells Inverters Manufacturing Cryptography Reliability Integrated circuit modeling

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Generate Topics and Filter Novelties at Scale with Pre-Trained Language Models: A GPT-2 Method

Generate Topics and Filter Novelties at Scale with Pre-Train...

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Advances in Computer Science, Electrical, Electronics, and Communication technologies (CE2CT), international conference on

作者： B. Jeevashri Uma Priyadarsini P S Dept of Computer Science and Engineering Saveetha University Saveetha Schoole of Engineering Chennai India

ISBN: (数字)9798331518578

ISBN: (纸本)9798331518585

The exponential rise of digital material calls for the development of more sophisticated approaches to the formation of topics that guarantee semantic richness, diversity, and scalability within the content. This research introduces an innovative pipeline employing the pre-trained Generative Pre-trained Transformer 2 (GPT-2) model to tackle issues related to topic coherence, redundancy, and the effective processing of extensive textual datasets to integrates text segmentation, novelty filtration, and semantic coherence enhancement. Text chunking facilitates the processing of extensive datasets by partitioning information into manageable chunks, whereas novelty filtering utilizes Term Frequency-Inverse Document Frequency (TF-IDF) vectorization and cosine similarity measures to remove redundancy. Experiments on a news dataset illustrated the pipeline's efficacy, with filtered GPT-2 outputs attaining higher coherence scores (0.85) than raw GPT-2 (0.75) and conventional approaches such as Latent Dirichlet Allocation (LDA) (0.45). Chunking was essential for sustaining scalability, with an ideal size of 800 tokens achieving a compromise between computational efficiency and precision. The methodology substantially surpassed traditional methodologies in producing distinctive, contextually relevant themes, rendering it appropriate for applications including content analysis, document organization, and knowledge discovery. Future endeavors will concentrate on optimizing for domain-specific datasets, multilingual applications, and minimizing computational overhead to improve adaptability and efficiency.

关键词： Text analysis Computational modeling Scalability Semantics Redundancy Pipelines Coherence Organizations Transformers Computational efficiency

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Construction of High-Precision Digital Twin Model and Real-Time Data Fusion Technology

Construction of High-Precision Digital Twin Model and Real-T...

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Digital Analysis and Processing, Intelligent Computation (DAPIC), international conference on

作者： Yetong Wang Bing Zheng Kongduo Xing Hainan Vocational University of Science and Technology Haikou Hainan China

ISBN: (数字)9798331536169

ISBN: (纸本)9798331536176

High-precision digital twin model construction and real-time data fusion technology are the core of digital twin technology, which jointly support the whole life cycle simulation, verification, prediction and control of physical entities. In this paper, the construction process of high-precision digital twin model is deeply discussed, including four stages: data acquisition and processing, preliminary model establishment, model refinement and optimization, simulation verification and iterative update. In terms of key technologies and algorithms, this paper analyzes 3D modeling and geometric processing technology, physical properties and behavior simulation technology, and data fusion and real-time update technology. In particular, this paper discusses the role of data fusion algorithms such as Kalman filter in improving the accuracy and reliability of data. In the part of real-time data fusion technology, this paper discusses the data source and diversity, the fusion method and process, and the strategy of using clustering algorithm and machine learning model to improve the efficiency of data fusion. In the face of challenges, this paper points out some problems, such as data security and privacy protection, insufficient generalization ability of models, difficulties in data acquisition and integration, bottlenecks in real-time performance and lack of industry standards, and puts forward corresponding improvement measures. Finally, this paper looks forward to the future development of digital twin technology, and emphasizes the importance of data-driven intelligent modeling methods, cross-industry standardization and innovative applications in intelligent manufacturing, smart cities, smart medical care and other fields.

关键词： Solid modeling Analytical models Accuracy Computational modeling Data acquisition Data integration Data models Real-time systems Digital twins Optimization

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Sensing in Terahertz Communications for the Sixth-Generation Mobile Technology

Sensing in Terahertz Communications for the Sixth-Generation...

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international conference on Information Networking

作者： Mmohaankumar S-O Muthukkumaran Mohamad Yusoff Bin Alias Suhandi Bujang Azah Syafiah Mohd Marzuki Faculty of Engineering Multimedia University Cyberjaya Selangor Center of Excellent for Intelligent Network TM R&D Sdn Bhd Cyberjaya Malaysia

ISBN: (数字)9798331506940

ISBN: (纸本)9798331506957

This paper investigates the use of compressed sensing methods in waveform design to enhance transmission efficiency while minimizing free-space path loss (FSPL). It introduces a classification framework tailored for communication and sensing services, considering critical parameters such as data rates, operational frequencies, and latency requirements. Additionally, the research evaluates the potential of integrating Terahertz (THz) sensing into sixth generation (6 G) networks, utilizing the distinctive attributes of THz waves for applications like imaging, spectroscopy, and environmental sensing. The project demonstrated that waveforms developed with compressed sensing techniques improved both data acquisition and reconstruction. simulation results reveal substantial challenges in THz communication for 6G networks, including significant path losses, atmospheric absorption, and scattering at higher frequencies and over longer distances. Addressing these challenges necessitates advanced technologies—such as high-gain antennas, power amplifiers, and robust error-correcting codes—to ensure reliable communication. These findings are essential for the design and optimization of 6G networks, providing guidance for the development of technologies and infrastructure that can meet the unique demands of $\mathbf{T H z}$ communication, thereby supporting the ultra-high-speed, low-latency applications envisioned for future networks.

关键词： 6G mobile communication simulation Atmospheric modeling Scattering Power amplifiers Sensors Reliability Low latency communication Compressed sensing Terahertz communications

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Bridging the Gap: From Food Recognition to Accurate Weight Estimation

Bridging the Gap: From Food Recognition to Accurate Weight E...

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Disruptive technologies (ICDT), international conference on

作者： Bhagyashree Maharana Mayank Kumar Goyal Ali Imam Abidi Department of Computer Science & Engineering Sharda School of Engineering & Technology Sharda University Greater Noida India

ISBN: (数字)9798331519582

ISBN: (纸本)9798331519599

Accurate estimation of food weight is of utmost importance in the assessment of diet in nutrition, healthcare, and wellness. Although great progress has been achieved with machine learning and computer vision in image-based food recognition, the task of accurate weight estimation is still a challenging one. This review summarizes the current methodologies that address the gap, focusing on the reduction of errors and novel innovations. The review compares 2D and 3D computational methods, emphasizes the advantages of hybrid multimodal models, and assesses their strengths and weaknesses. The role of datasets and annotation techniques is analyzed in detail, highlighting the importance of having diverse and accurate datasets for model improvement. Standard evaluation metrics and benchmarks are addressed to evaluate accuracy and comparability across methods. Realism emerging trends of self-supervised learning, multimodal data integration, and real-time edge computing applications are searched for as answers to these practical constraints found in reality: variability in food, occlusion, environmental factors all challenge; solution proposed here. This review is aimed at outlining future research guidance by summarizing recent innovations, addressing gaps, and providing a roadmap for practical, scalable, and accurate dietary assessment systems.

关键词： Technological innovation Image segmentation Accuracy Image recognition Three-dimensional displays Reviews Computational modeling Face recognition Estimation Real-time systems

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