Title: An Intensive Approach to Reduce Range Anxiety of Electric Vehicle by Calibrating Weight Factor


Authors:

Rishi Sharma

ri2001hi@gmail.com
Department of Electrical Engineering, Swami Keshvanand Institute of Technology, Management & Gramothan, Jaipur-302017 (INDIA),

Ajay Bhardwaj

ajayb23@gmail.com
Department of Electrical Engineering, Swami Keshvanand Institute of Technology, Management & Gramothan, Jaipur-302017 (INDIA),

Ranjan Kumar Tiwari

ranjantiwari8039@gmail.com
Department of Electrical Engineering, Swami Keshvanand Institute of Technology, Management & Gramothan, Jaipur-302017 (INDIA),

Parth Singh Deval

parthsinghdeval@gmail.com
Department of Electrical Engineering, Swami Keshvanand Institute of Technology, Management & Gramothan, Jaipur-302017 (INDIA),

Raj Kumar Sain

rajusain6367039@gmail.com
Department of Electrical Engineering, Swami Keshvanand Institute of Technology, Management & Gramothan, Jaipur-302017 (INDIA),

Priyanka Sharma

priyanka08291@gmail.com
Department of Computer Science & Engineering, Swami Keshvanand Institute of Technology, Management & Gramothan, Jaipur-302017 (INDIA)

Pages: 46-49

DOI:

Abstract:

Electric vehicles (EVs) are gaining popularity thanks to advancements in green energy technology. However, a major concern for potential users is range anxiety—the fear that an EV might run out of power before reaching a destination. A key factor contributing to this concern is the impact of passenger weight on the vehicle's range. Extra weight from passengers increases energy consumption, particularly in stop-and-go traffic, leading to reduced driving range.

To address this issue, we developed a method to improve range prediction by considering the effect of passenger weight. Our approach uses real-world data to understand how passenger load impacts energy consumption, especially when battery levels and vehicle speed are constant. By fine-tuning the range prediction model based on passenger weight, we aim to reduce range anxiety while ensuring optimal vehicle performance.

This research offers a practical solution to range anxiety by providing more accurate range estimates, helping EV drivers feel more confident about their vehicle's capabilities. This improvement could encourage wider adoption of electric vehicles, benefiting both the environment and drivers.

Keywords: