Maximizing Energy Efficiency in Electric Vehicles: Insights from Power Consumption Analysis
Electric motors have emerged as a promising answer for decreasing carbon emissions and increasing electricity efficiency within the transportation area. However, the uptake of EVs isn't without its demanding situations, particularly in maximizing their power performance. In this study, we present an in-intensity power consumption analysis of EVs to discover the key factors that impact their strength efficiency. We carried out real-world checking and simulations to accumulate facts on EV power consumption styles and find the individuals who are important to power consumption. Our analysis revealed that riding habits, ambient temperature, car weight, and aerodynamics substantially impact EV energy consumption. We also observed that efficient regenerative braking and battery management systems play a critical position in optimizing power efficiency. Additionally, using ancillary structures along with air conditioning and heating can have a substantial impact on the overall electricity intake of EVs. Based on our findings, we recommend strategies to maximize strength performance in EVs, including selling ecoriding behavior, optimizing vehicle layout, and developing advanced battery control structures. Our insights can help tell coverage decisions and manual the improvement of innovative technologies to improve the overall strength performance of EVs. By maximizing electricity performance in EVs, we will lessen greenhouse gasoline emissions and sell sustainable transportation.
Authors
- M. Aruna
- Rajesh Basak (ORCID: https://orcid.org/0000-0001-6752-3509)
- Atharva Thakur
- Shrishail B. Sollapur (ORCID: https://orcid.org/0000-0002-3994-4610)
- Lakshya Swarup (ORCID: https://orcid.org/0009-0006-3351-5248)
- Nipun Setia
Institutions
- Jain University (IN)
- Presidency University (IN)
- Siksha O Anusandhan University (IN)
- Maharishi University of Management and Technology (IN)
- Chitkara University (IN)
Publication Details
- Published
- 2025-05-29
- DOI
- https://doi.org/10.1109/netcrypt65877.2025.11102701
- Primary Topic
- Electric Vehicles and Infrastructure
- Type
- article
- Field-Weighted Citation Impact
- 0.00