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

Implementing Organization

Indian Institute of Technology (IIT)
Principal Investigator
Dr. Ashwini Kumar Sharma
Dr. Aditya Singh, 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).
Funding Organization
Funding Organization
Science and Engineering Research Board (SERB), New Delhi
Anusandhan National Research Foundation (ANRF)
Quick Information
Area of Research
Engineering Sciences
Start Year
2023
End Year
2026
Sanction Amount
₹ 6.60 L
Status
Ongoing
Output
No. of Research Paper
00
Technologies (If Any)
00
No. of PhD Produced
N/A
Startup (If Any)
00
No. of Patents
Filed :01
Grant :00
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