Copyright © 2025 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

@article{149696,
        author = {K Gayatri and M. Suneetha},
        title = {Optimization of Electrical Vehicle Parts using Particle Swarm Optimization},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {7},
        number = {1},
        pages = {340-343},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=149696},
        abstract = {This paper portrays the Particle Swarm Optimization (PSO) way to deal with style vehicle powertrain segments, (for example, motor force, engine force and battery vitality proficiency) to fulfill all basic exhibition prerequisites like increasing speed, evaluation and most extreme speed necessities and application. The considered Contrasted with customary improvement techniques, PSO handles non-direct limitation streamlining issues all the more effectively and appropriately. The PSAT (Powertrain System Analysis Toolkit) stage utilizes the PHEV powertrain arrangement with fixed-size parts inside the new vehicle model. Reenactment results show that with upgraded segment sizes of PHEV vehicles (by means of PSO), the exhibition and eco-friendliness of the vehicle are frequently altogether improved. The ideal answer for the parts sizes discovered during this examination is expanded execution and vehicle eco-friendliness.},
        keywords = {Powertrain, optimization, PHEV, efficiency},
        month = {},
        }