| Issue |
E3S Web Conf.
Volume 353, 2022
8th International Conference on Energy and City of the Future (EVF’2021)
|
|
|---|---|---|
| Article Number | 03001 | |
| Number of page(s) | 11 | |
| Section | Materials & Factories of the Future | |
| DOI | https://doi.org/10.1051/e3sconf/202235303001 | |
| Published online | 29 June 2022 | |
Simulation of Li-ion Battery using MATLAB-Simulink for Charging and Discharging
Department of Mechanical Engineering MIT-ADT University-MIT School of Engieering, Pune, Pincode-412201, India
* mathew.karvinkoppa@mituniversity.edu.in
The optimization of batteries has increased in EV and HEV applications out of which Li-ion batteries are widely used for green technology applications as an energy storage system due to its high power and energy density. In electric vehicle applications, drawbacks are observed during charging interval time on the storage system. In such situations, the multi-state charging is considered to be the ideal solution. This paper tells us about the state charging of lithium-ion battery and its criteria of charging/discharging for good battery life using MATLAB Simulink tool. The state-of-charge (SOC), measured and applied for measuring charging/discharging characteristics is an important parameter for defining the performance of a battery. Thus, accurate estimation of SOC is necessary which will protect the battery and prevent its overcharging and discharging. This will also help in improving the life span of the battery. For applications requiring higher efficiency, multi-state charging is applied.
© The Authors, published by EDP Sciences, 2022
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.