Modeling and control system optimization for electrified vehicles: A data-driven approach

Energy, Journal Year: 2024, Volume and Issue: unknown, P. 133196 - 133196

Published: Sept. 1, 2024

Language: Английский

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Digital shadow of an electric vehicle‐permanent magnet synchronous motor drive for real‐time performance monitoring

Digital twins and applications., Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 7, 2025

Abstract Digital twin (DT) technology has been utilised in many applications including electric vehicles (EVs). A DT is a virtual representation of physical object, enabled through real‐time data integration, simulation, and optimisation tools. Unlike conventional simulations, which are typically offline lack interaction, continuously synchronises with the system, enabling dynamic performance monitoring predictive analytics. Achieving full involves progressive stages, digital shadow (DS) being final step before realising bidirectional DT. Building DS provides scalable fault detection framework, proactive decision‐making EV operations. This study introduces system specifically designed to monitor permanent magnet synchronous motor (PMSM) drive EVs, marking critical phase towards complete The methodology for creating detailed, establishment comprehensive test bench powertrain as reference model. mathematical model EV‐PMSM was formulated, an advanced estimation utilising extended Kalman filter (EKF) implemented. MATLAB/Simulink employed develop motor’s Real‐time acquisition from facilitated (DAS) equipped controller area network (CAN) communication interface. underwent thorough validation against sensory collected bench. deployed framework flow actual during real‐world driving conditions. results demonstrated high accuracy 97% between predictions corresponding data, confirming DS’s reliability. These findings pave way future advancements, interaction realisation

Language: Английский

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INNOVATIVE TRAINING COMPLEX WITH ENGINEERING SUPPORT: A NEW LEVEL OF TECHNICAL EXPLOITATION OF AVIATION

Вестник Академии гражданской авиации, Journal Year: 2025, Volume and Issue: 36(1)

Published: March 1, 2025

This research explores the creation of a novel training complex designed specifically for technical management military and specialized aviation equipment. The study is driven by need to improve efficiency engineering staff, given increasing complexity systems growing emphasis on safety. main objective this develop an adaptive educational platform that integrates digital twins systems, fault diagnosis algorithms, intelligent methods personalize process. architecture comprehensive support system was devised, which includes data collection, modeling, analytics. features learning algorithm takes into account trainee's skill level, experience, progress, automatically adjusting curriculum accordingly. By incorporating virtual simulators simulation models, closely mirrors actual operating conditions equipment, providing more immersive effective environment. To evaluate effectiveness proposed system, experimental testing conducted with two groups personnel: group, used control followed traditional methods. results revealed new led 22% reduction in response time emergencies, 30% errors, 18% improvement accuracy procedure execution. highly flexible can be customized integrated modern predictive diagnostic aircraft malfunctions. Implementing such development specialists will enhance safety, reliability, economic operations.

Language: Английский

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Machine Learning-Based Digital Twin for Optimizing Automotive Components

SAE technical papers on CD-ROM/SAE technical paper series, Journal Year: 2025, Volume and Issue: 1

Published: April 1, 2025

<div class="section abstract"><div class="htmlview paragraph">This paper presents a Digital Twin approach based on Machine Learning (ML), aimed at creating software-based sensors to reduce the auxiliary devices of vehicle and enabling predictive maintenance, thus reducing carbon footprint. The solution is applied electric Lubrication Oil Pump (eLOP), crucial component within vehicle's powertrain system. proposed eLOP integrates ML-based estimate critical parameters such as temperature, pressure flow rate, reliance physical associated hardware. This minimizes manufacturing complexity cost, enhancing energy efficiency during both production operation. Furthermore, facilitates maintenance by continuously monitoring component's performance, early detection potential failures optimizing schedules. leads lower consumption reduced emissions throughout lifecycle. architecture constructed using detailed simulation model eLOP, which validated against empirical data ensure high fidelity in replicating real-world behavior. generates comprehensive dataset capturing various operational scenarios, then used train ML models for estimation quantities prediction remaining useful life component. These capabilities are vehicle-level applications that can significantly impact overall efficiency. Though focus this methodology be extended other components systems, demonstrating scalable use providing pathway more sustainable automotive design operation.</div></div>

Language: Английский

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Digital Twin Based CO2 Pipeline Transportation: A Review

Lecture notes in electrical engineering, Journal Year: 2025, Volume and Issue: unknown, P. 110 - 121

Published: Jan. 1, 2025

Language: Английский

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Product digital twins: An umbrella review and research agenda for understanding their value

Computers in Industry, Journal Year: 2024, Volume and Issue: 164, P. 104181 - 104181

Published: Sept. 21, 2024

Language: Английский

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One Health Ecological Approach to Sustainable Wireless Energy Transfer Aboard Electric Vehicles for Smart Cities

Energies, Journal Year: 2024, Volume and Issue: 17(17), P. 4349 - 4349

Published: Aug. 30, 2024

This investigation is part of a topical situation where wireless equipment gradually being used for energy transfer, particularly autonomous systems and the use decarbonized energies. A characteristic example linked to substitution thermal engine vehicles electric (EVs) equipped with storage batteries. response was considered in an ecological context reducing air pollution defending planetary biodiversity, which are currently vital. These EVs ultimately operate thanks charging their batteries when stationary or running. By changing long-established means transport that have become threat it necessary ensure innovative replacement solutions protect this biodiversity. In addition, construction power transfer (WPT) battery chargers these must offer optimal ecology clean saving. such context, two concepts One Health (OH) Responsible Attitude (RA) will find place design control WPT tools EVs. contribution aims illustrate analyze roles green non-wasteful OH RA approaches embedded smart city (SC) environment. paper, first introduced. The EV then examined. biological effects on living tissues due electromagnetic field (EMF) radiation analyzed. phenomena equations governing EMF exposed. SC afterward protection against unsafe environment consequently explored. analyses followed paper supported by examples from literature. explorations proposed made possible highlight certain notions, allowing more in-depth understanding rechargeable SCs. Thus, analysis fusion topics at heart contribution.

Language: Английский

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The concept of digital twin of electric refrigerated vehicle including a tool for its route planning

Procedia Computer Science, Journal Year: 2024, Volume and Issue: 246, P. 5263 - 5272

Published: Jan. 1, 2024

Language: Английский

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