ENHANCING SENTIMENT ANALYSIS ACCURACY THROUGH TRANSFER LEARNING AND PRE-TRAINED LANGUAGE MODELS
Akash Agrahari1, Avadhesh Kumar Dixit2, Piyush Rai3
1Research Scholar,2,3Assistant Professor,Department of CSE, Dr. Rammanohar Lohia, Avadh University, Ayodhya, India
ABSTRACT: The Energy Regenerative system represents a groundbreaking solution to the prevalent challenges confronting electric vehicles (EVs), including issues of limited range, reliance on external charging infrastructure, and concerns regarding battery overheating. With a focus on revolutionizing the electric vehicle industry, this research project introduces a pioneering approach that centres on optimizing energy management and extending the operational range of EVs. The core principle of this research involves the integration of two batteries, denoted as Battery A and Battery B, in conjunction with a dynamo to harness kinetic energy during motion. While Battery A undergoes discharge, Battery B is concurrently charged through the dynamo, and vice versa. The dynamos generate DC-current, which is subsequently stabilized to facilitate the charging of the batteries. To address challenges related to overheating and thermal management in electric vehicles, an intricately designed cooling system utilizing copper pipes is incorporated, ensuring optimal operating temperatures for the batteries across diverse riding conditions. A distinctive feature of this research project is the inclusion of dynamos for energy harvesting during the vehicle’s motion. These mechanisms will be visually presented to enhance user comprehension. This innovative approach is poised to reshape electric vehicle design, providing a more convenient and environmentally sustainable transportation option for the future.
KEYWORDS: Energy Regenerative, Dual-Battery System, Energy Management, Energy Efficiency, Battery Cooling, Battery Temperature Maintenance, Battery Longevity, Range Extension