Optimizing power converters for enhanced electric vehicle propulsion: A novel research methodology
Downloads
Published
DOI:
https://doi.org/10.58414/SCIENTIFICTEMPER.2024.15.4.23Keywords:
Electric Vehicles, Power Converter Optimization, Research Methodology, Simulation-based Design, Vehicle-to-Grid, Sustainable TransportationDimensions Badge
Issue
Section
License
Copyright (c) 2024 The Scientific Temper

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
This research paper presents a novel methodology for enhancing power converters in electric vehicle (EV) propulsion systems, focusing on optimizing efficiency, reliability, and performance. It integrates theoretical analysis, simulations, and practical experimentation to address current challenges in power converter technology for EVs. The study begins with a literature review to identify gaps and emerging trends in power converter technologies. A theoretical model is then proposed, incorporating advanced semiconductor materials, innovative circuit topologies, and improved thermal management to boost efficiency and power density. Simulation tools, such as finite element analysis and system-level modeling, are used to validate the model and optimize design parameters. These simulations predict converter behavior under various conditions and loads, providing insights for performance improvements. A prototype power converter based on the optimized design is developed to validate the theoretical predictions. Experimental data is collected through rigorous testing, evaluating factors like efficiency, thermal performance, and response time. The experimental results are compared with simulation outcomes to verify the accuracy of the methodology. The study also explores bidirectional power flow for vehicle-to-grid (V2G) applications, assessing the impact on power converters and their role in energy exchange between EVs and the grid. This research offers a systematic approach to advancing power converters in EV propulsion systems, combining theoretical analysis, simulation-based optimization, and practical testing to contribute to the development of sustainable, high-performance electric transportation.Abstract
How to Cite
Downloads
Similar Articles
- Deepa Ramachandran VR VR, Kamalraj N, Hybrid deep segmentation architecture using dual attention U-Net and Mask-RCNN for accurate detection of pests, diseases, and weeds in crops , The Scientific Temper: Vol. 16 No. 07 (2025): The Scientific Temper
- Jasleen Kaur, Sultan Singh, Assessing the Impact of Stress on the Health and Job Performance of Employees in Indian Banks , The Scientific Temper: Vol. 14 No. 04 (2023): The Scientific Temper
- Mohamed Azharudheen A, Vijayalakshmi V, Improvement of data analysis and protection using novel privacy-preserving methods for big data application , The Scientific Temper: Vol. 15 No. 02 (2024): The Scientific Temper
- Vinodini R, Ritha W, The economic order quantity model for sustainable green inventory considers deterioration impact on the real-time replacement and various reorder points with imperfect quality items , The Scientific Temper: Vol. 16 No. 04 (2025): The Scientific Temper
- Bommaiah Boya, Premara Devaraju, Integrating clinical and ECG data for heart disease prediction: A hybrid deep learning approach based on two modalities with particle swarm optimization , The Scientific Temper: Vol. 16 No. 05 (2025): The Scientific Temper
- Kanchan Chaudhary, Saurabh Charaya, The Implementation of Artificial Intelligence-Based Models of Postoperative Care in Paediatric Healthcare Settings , The Scientific Temper: Vol. 16 No. 12 (2025): The Scientific Temper
- M. Ragul, A. Aloysius, V. Arul Kumar, Enhancing IoT blockchain scalability through the eepos consensus algorithm , The Scientific Temper: Vol. 16 No. 02 (2025): The Scientific Temper
- R Sharmila, Nikhil S Patankar, Manjula Prabakaran, Chandra M. V. S. Akana, Arvind K Shukla, T. Raja, Recent developments in flexible printed electronics and their use in food quality monitoring and intelligent food packaging , The Scientific Temper: Vol. 14 No. 03 (2023): The Scientific Temper
- R. Sakthiraman, L. Arockiam, RFSVMDD: Ensemble of multi-dimension random forest and custom-made support vector machine for detecting RPL DDoS attacks in an IoT-based WSN environment , The Scientific Temper: Vol. 16 No. 03 (2025): The Scientific Temper
- Prince Williams, Nilesh M. Patil, Allanki S. Rao, Chandra M. V. S. Akana, K. Soujanya, Aakansha M. Steele, Transformative effects of connectivity technologies on urban infrastructure and services in smart cities , The Scientific Temper: Vol. 14 No. 04 (2023): The Scientific Temper
<< < 9 10 11 12 13 14 15 16 17 18 > >>
You may also start an advanced similarity search for this article.

