Synergy of AI and PMBLDC Motors: Enhancing Efficiency in Electric Vehicles
Electric vehicles (EVs) are showing a great deal of interest in Permanent Magnet Brushless Direct Current (PMBLDC) motors due to the growing need for environmentally friendly transportation options. The integration of Artificial Intelligence (AI) like Fuzzy Logic Controller (FLC) in the control and management of PMBLDC motors is revolutionizing the performance and efficiency of EVs. This paper explores the multifaceted applications of AI in optimizing PMBLDC motor operations, including advanced motor control techniques and adaptive performance tuning. AI enhances torque response, minimizes energy consumption, and extends motor lifespan. The synergy between AI and PMBLDC motors not only improves the driving experience but also contributes to the overall sustainability of electric transportation. This study highlights the transformative potential of AI in achieving higher efficiency and reliability in PMBLDC motor applications, paving the way for the future of electric mobility.
Authors
- A. Tripathi
- Abhimanyu Kumar (ORCID: https://orcid.org/0000-0003-2966-9341)
- Abhay Chaturvedi (ORCID: https://orcid.org/0000-0002-3857-3918)
- Chirag Gupta (ORCID: https://orcid.org/0000-0002-6121-7065)
- Shankar Kumar
Publication Details
- Published
- 2025-02-07
- DOI
- https://doi.org/10.1109/icccit62592.2025.10927757
- Citations
- 1
- Primary Topic
- Sensorless Control of Electric Motors
- Type
- article
- Field-Weighted Citation Impact
- 0.73