| Issue |
E3S Web Conf.
Volume 616, 2025
2nd International Conference on Renewable Energy, Green Computing and Sustainable Development (ICREGCSD 2025)
|
|
|---|---|---|
| Article Number | 03005 | |
| Number of page(s) | 10 | |
| Section | Sustainable Development | |
| DOI | https://doi.org/10.1051/e3sconf/202561603005 | |
| Published online | 24 February 2025 | |
Comparative Study of Regenerative Braking Impact on Various Battery Technologies for Electric Vehicles Using MATLAB Simulations
1,2,3 Electrical and Electronics Engineering, B V Raju Institute of Technology, Narsapur, India
4 Electrical and Electronics Engineering, CVR College of Engineering, Ibrahimpatnam, Hyderabad, India
5 Chemical Engineering, JNGP, Hyderabad, India
The integration of regenerative braking systems in electric vehicles (EVs) has become a focal point in the pursuit of enhancing energy efficiency and sustainability. This paper presents a comprehensive MATLAB simulation study that investigates the impact of regenerative braking on the performance and lifespan of four distinct battery technologies: Lithium-Ion, Lead-Acid, Nickel-Cadmium, and Nickel-Metal-Hydride and guides which battery best for EV application. The simulation framework employs realistic driving scenarios to emulate the dynamic conditions encountered by EVs in everyday usage. Through a systematic analysis, we evaluate the effectiveness of regenerative braking in terms of energy recovery and its influence on the charging and discharging characteristics of each battery type. The results of the simulation are presented, providing valuable insights into the comparative performance of the different battery chemistries under the influence of regenerative braking and at different weather conditions.
© The Authors, published by EDP Sciences, 2025
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.