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检索条件"机构=Computer and Software Engineering Ontario Tech University"

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Work-in-Progress: ESOps - An Agile Pipeline for Next-Generation Embedded Systems Development 24

Work-in-Progress: ESOps - An Agile Pipeline for Next-Generat...

引用

24th ACM SIGBED International Conference on Embedded software, EMSOFT 2024

作者： Al Maruf, Md Azim, Akramul Ontario Tech University Department of Electrical Computer and Software Engineering ON Canada

ISBN: (纸本)9798350356410

Embedded Systems Operations (ESOps) introduces a feature-driven development pipeline for next-generation embedded system, leveraging domain-specific Large Language Models (LLMs) to expedite the development process. Targeted at industries such as automotive, aerospace, and healthcare, ESOps overcomes traditional development barriers by enabling a profound understanding of legacy codebase and integrating innovative AI-driven methodologies. This pipeline ensures systems predictability and reliability, meets stringent constraints, and shortens time-to-market by optimizing both the development and operational phases. © 2024 IEEE.

关键词： Artificial intelligence

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Evaluation of Retired Lithium-ion Batteries for Second-life Applications through Electrochemical Impedance Spectroscopy 14

Evaluation of Retired Lithium-ion Batteries for Second-life ...

引用

14th Annual IEEE Applied Power Electronics Conference and Exposition, APEC 2025

作者： Anekal, Latha Williamson, Sheldon Ontario Tech University Department of Electrical Computer and Software Engineering Oshawa Canada

ISBN: (纸本)9798331516116

The rapid growth of electric transportation will generate a substantial number of retired batteries. Recycling the retired LIBs is being looked at worldwide to recover the expensive raw materials from used batteries. Alternatively, the retired electric vehicle (EV) batteries can be reused directly or refurbished for second-life applications. Nevertheless, Lithium-ion batteries (LIBs) degrade during their first-life usage, hence ensuring safety, efficiency, and reliability in second-life applications is crucial. This study investigates LIB degradation using electrochemical impedance spectroscopy (EIS) to assess the battery condition at the end of its primary use. A Samsung 21700 nickel cobalt aluminium (NCA) battery is cycled to 80% of its initial capacity and equivalent circuit model (ECM) parameters obtained through electrochemical impedance spectroscopy (EIS) are analyzed. Individual ECM parameters are evaluated to acquire the health indicators. Although the battery capacity decreased by 20%, resistive components such as bulk resistance, charge transfer resistance and Warburg resistance increased by 140%, 150% and 132% respectively. Given the relative capacity and resistance, the battery is well-suited for second-life applications such as grid frequency regulation, uninterruptible power supply, electric forklifts, and material handling equipment. Other health indicators such as Loss of lithium inventory (LLI) and loss of active materials (LAM) are also captured. © 2025 IEEE.

关键词： Lithium-ion batteries

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Crucial Examination of Thermal Behavior of Solid-State Battery for Intelligent Gray Box Model-based Automotive Battery Management Systems 50

Crucial Examination of Thermal Behavior of Solid-State Batte...

引用

50th Annual Conference of the IEEE Industrial Electronics Society, IECON 2024

作者： Samanta, Akash Chetri, Chandan Williamson, Sheldon Department of Electrical Computer and Software Engineering Ontario Tech University Oshawa Canada

ISBN: (纸本)9781665464543

Solid-state batteries (SSBs) represent one of the most promising technologies for next-generation energy storage systems, offering potential advantages in safety, energy density, and longevity compared to traditional lithium-ion batteries. However, comprehending and managing the thermal behavior of these batteries across a wide range of operating conditions is essential for ensuring their safe and reliable operation. Furthermore, gray box modeling-based state estimation and control are extremely crucial due to the higher degree of nonlinearity exhibited under dynamic operating conditions of SSBs. Gray box modeling is a fusion of equivalent circuit models and data-driven techniques, requiring battery test data and information on charging/discharging and thermal characteristics of SSBs. Therefore, this paper presents a comprehensive analysis of the thermal behavior of SSBs through laboratory experiments conducted in a controlled environment. Additionally, it investigates the thermal characteristics of SSBs under various charging and discharging conditions to assess their suitability for e-mobility applications. Moreover, it examines the thermal behavior and stability of SSBs and introduces a concept of a gray box modeling-based temperature detection scheme for an effective thermal management system. The insights gained from this study can inform the development of advanced thermal management strategies and contribute to the design of safer and more efficient solid-state battery technologies for e-mobility applications. © 2024 IEEE.

关键词： Solid-State Batteries

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A Comprehensive Analysis for Efficient Single Input Multiple Output Inductive Wireless Power Transfer Systems 50

A Comprehensive Analysis for Efficient Single Input Multiple...

引用

50th Annual Conference of the IEEE Industrial Electronics Society, IECON 2024

作者： Bhisti, Ummemisbah Williamson, Sheldon Department of Electrical Computer and Software Engineering Ontario Tech University Oshawa Canada

ISBN: (纸本)9781665464543

The area of wireless power transfer (WPT) technology is developing rapidly and has a wide range of possible uses. In-depth reviews, comparisons, and analysis of power converters and compensation topologies designed especially for Single Input Multiple Output (SIMO) WPT systems are provided in this study. A particular focus is on evaluating compensation topologies in terms of their efficiency and output load independence. To achieve both independence and higher efficiency in SIMO WPT systems, a hybrid compensation strategy with different converters topology is suggested based on a thorough examination and analysis of the literature. This review article opens opportunities for future developments and applications in this emerging sector by offering insightful information about the state of SIMO WPT systems today. © 2024 IEEE.

关键词： Hybrid power

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A Solid State Transformer-based Charging Station for Catering Heavy/Medium and Light Electric Vehicles 4

A Solid State Transformer-based Charging Station for Caterin...

引用

4th International Conference on Smart Grid and Renewable Energy, SGRE 2024

作者： De Seram, Ruvini Lulbadda, Kushan Tharuka Sidhu, Tarlochan Williamson, Sheldon S. Ontario Tech University Department of Electrical Computer and Software Engineering Oshawa Canada

ISBN: (纸本)9798350306262

Incorporating solid-state transformers into EV charging stations can greatly improve their power density, reliability, efficiency, etc. This paper presents an solid state transformer (SST)-based EV charging station that can cater to three different types of vehicles according to the charging power requirement;heavy, medium, and light electric vehicles. Also, the proposed charging station provides both AC on-board charging and DC off-board charging ports. A MATLAB model of the proposed system was developed and simulated to validate the feasibility. The simulation results verifies that the proposed 10 kV, 1 MVA charging station is capable of charging the all categories of electric vehicles from 20% state of charge (SoC) to 80% SoC within 17.8 mins using constant current charging strategy. Furthermore, one heavy duty electric vehicle which is 30% of the charging station capacity is disconnected to demonstrate a sudden EV demand drop and the total harmonic distortion (THD) of grid current is observed to be laid below 2.6% before and after the event of disconnecting ensuring the stability of the proposed system. © 2024 IEEE.

关键词： MATLAB

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Enhancing Text Classification through LLM-Driven Active Learning and Human Annotation 18

Enhancing Text Classification through LLM-Driven Active Lear...

引用

18th Linguistic Annotation Workshop, LAW 2024

作者： Rouzegar, Hamidreza Makrehchi, Masoud Department of Electrical Computer and Software Engineering Ontario Tech University OshawaON Canada

ISBN: (纸本)9798891760738

In the context of text classification, the financial burden of annotation exercises for creating training data is a critical issue. Active learning techniques, particularly those rooted in uncertainty sampling, offer a cost-effective solution by pinpointing the most instructive samples for manual annotation. Similarly, Large Language Models (LLMs) such as GPT-3.5 provide an alternative for automated annotation but come with concerns regarding their reliability. This study introduces a novel methodology that integrates human annotators and LLMs within an Active Learning framework. We conducted evaluations on three public datasets. IMDB for sentiment analysis, a Fake News dataset for authenticity discernment, and a Movie Genres dataset for multi-label classification. The proposed framework integrates human annotation with the output of LLMs, depending on the model uncertainty levels. This strategy achieves an optimal balance between cost efficiency and classification performance. The empirical results show a substantial decrease in the costs associated with data annotation while either maintaining or improving model accuracy. © 2024 Association for Computational Linguistics.

关键词： Sentiment analysis

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An Analysis of Single- and Dual-Phase Shift Modulation techniques for Closed-loop Control of Dual-Active Bridge Converter 50

An Analysis of Single- and Dual-Phase Shift Modulation Techn...

引用

50th Annual Conference of the IEEE Industrial Electronics Society, IECON 2024

作者： De Seram, Ruvini Lulbadda, Kushan Tharuka Varaprasad, Oruganti V.S.R. Williamson, Sheldon S. Department of Electrical Computer and Software Engineering Ontario Tech University Oshawa Canada

ISBN: (纸本)9781665464543

The Dual-Active Bridge (DAB) converter’s versatility and ability to support bidirectional power flow make it a highly suitable option for modern power systems, especially in electric vehicle (EV) charging infrastructure. This paper explores phase shift control strategies for regulating power flow in DAB converters, with a particular emphasis on Single-Phase Shift (SPS) and Dual-Phase Shift (DPS) modulation techniques. The theoretical principles of power transmission within a DAB converter are detailed, and closed-loop control under both SPS and DPS modulation is demonstrated with simulation results using PLECS software. To validate these simulations, the closed-loop controllers were implemented in a 1kVA, 200V/200V DAB converter prototype, where the average efficiencies for SPS and DPS modulation were recorded at 96.69% and 97.05%, respectively. The paper concludes with a comparative analysis of the two modulation techniques. © 2024 IEEE.

关键词： Phase shift

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Advancing Road Safety: Road Accident Severity Prediction Using Deep Learning Models 27

Advancing Road Safety: Road Accident Severity Prediction Usi...

引用

27th IEEE International Conference on Intelligent Transportation Systems, ITSC 2024

作者： Shawon, Ashadullah Azim, Akramul Ontario Tech University Department of Electrical Computer and Software Engineering OshawaON Canada

ISBN: (纸本)9798331505929

The alarming rise in worldwide road traffic accidents poses serious challenges to numerous aspects of human existence. However, there has been a lack of attention paid to the important aspects of traffic characteristics, causation analysis, accident severity analysis, and the relationships between diverse causal factors. The road accident severity prediction system can be a significant analytical resource for traffic analysts and researchers aimed at identifying the major elements of road accident severity to improve road safety for automobiles as well as individuals. In this paper, we proposed effective deep-learning models for the tabular data to predict the severity of road accidents and our experimental results show the proposed method outperformed prior research works. © 2024 IEEE.

关键词： Highway accidents

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Real-time CAN Data Acquisition and Visualization: Synerging Physical-to-Virtual (P2V) Twinning of Automotive Battery Management Systems 50

Real-time CAN Data Acquisition and Visualization: Synerging ...

引用

50th Annual Conference of the IEEE Industrial Electronics Society, IECON 2024

作者： Sharma, Mohit Samanta, Akash Chetri, Chandan Williamson, Sheldon Department of Electrical Computer and Software Engineering Ontario Tech University Oshawa Canada

ISBN: (纸本)9781665464543

Controller area network (CAN) is widely used in automotive applications and has become the standard communication protocol to enable efficient communication primarily between electronic control units (ECUs) to reduce the complexity and cost of electrical wiring in automobiles through multiplexing. Towards developing the cloud-based electric vehicle battery data monitoring and digital-twinning of a battery management system (BMS), this paper introduced an online CAN data acquisition and visualization technique from an automotive grade BMS of NXP®®. Python-based CAN data processing tool is developed to process the raw data from the NXP® BMS and an open-source platform Grafana® is utilized together with the InfluxDB for visualization of the time-series data in real-time from a battery module containing 14 SAMSUNG 21700 lithium-ion battery cells. Each of those elements is implemented through the Docker container platform to become a standardized unit called a container. Besides presenting the detailed architecture of the data acquisition and visualization platform and the python-based data processing tool, this paper demonstrated the capability of the proposed architecture through examples of visualizing individual cell voltage, current, and temperature in real-time and their applications and utility in implementing cloud-based BMS. © 2024 IEEE.

关键词： Problem oriented languages

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The Behavior of DC Microgrid Connected Solid State Transformer During Internal Short Circuits 25

The Behavior of DC Microgrid Connected Solid State Transform...

引用

25th IEEE International Conference on Industrial technology, ICIT 2024

作者： Lulbadda, Kushan Tharuka De Seram, Ruvini Sidhu, Tarlochan Williamson, Sheldon S. Ontario Tech University Department Of Electrical Computer And Software Engineering Oshawa Canada

ISBN: (纸本)9798350340266

Solid State Transformer (SST) enabled DC micro-grids are a modern solution for replacing the conventional Low-Frequency Transformer (LFT) by enhancing the system power density. Further, using SSTs in power systems has several additional advantages which are impossible with LFTs. As the SST is made out of sensitive power electronic components, safety must be guaranteed successfully to maintain a reliable operation. Also, the existing system will operate differently fundamentally with the integration of SST and the Low Voltage (LV) DC network will experience new LV fault profiles. SST-enabled power systems can be vulnerable to several kinds of faults such as overcurrent, overvoltage, and switching failures which will be discussed in this research. Therefore, it is more important to conduct a fault analysis based on different types of faults in the SST-enabled DC microgrid. The manuscript is mainly focused on three areas faults in the Medium Voltage (MV) side of the SST, faults within the SST, and faults in the Low Voltage (LV) side of the SST. The main objective of this research is to study the behavior of the SST in faulty conditions mentioned above. Different types of faults in a DC microgrid based on SST are simulated and the results are discussed and analyzed in this paper. Further, it has been found that the SST has a moderated capability for fault-tolerant operation during the faults. © 2024 IEEE.

关键词： Timing circuits

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