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Reduced order model development for state of charge estimation in a lithium ion battery management system

Implementing Organization

Principal Investigator
Dr. Ashwini Kumar Sharma
Indian Institute Of Technology (IIT) Roorkee, Uttarakhand

Project Overview

Physics-based mathematical models for lithium-ion battery comprise coupled partial differential equations accounting for the conservation of species, energy and charge. This mathematical complexity leads to higher computational requirements which makes these models unsuitable to be implemented onboard an application. We shall intervene this limitation of the physics-based models with the help of mathematical tools (non-dimensionalization, scaling analysis, asymptotics, volume-averaging, and leading-order solutions) and secure a reduced model formulation that captures the internal cell dynamics yet computationally efficient to be implemented onboard. In comparison to the state of art literature on the subject, this project aims to develop an advanced reduced order model that can capture the thermal effects, cell dynamics in the rest period and the continued charging-discharging (both partial and incomplete).

Source

Source
Science and Engineering Research Board (SERB), DST 2022-23
Funding Organization
Quick Information
Area of Research
Engineering Sciences
Start Date
2023
End Date
2026
Status
Ongoing
Contact
Ashwini.ashwin@gmail.com
Output
No. of Research Paper
00
Technologies (If Any)
00
No. of PhD Produced
00
Publications
00
No. of Patents
Filed : 00
Grant : 00
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