Design and Development of AI-based Smart Battery Management System for Energy storage and E-Mobility applications

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Implementing Organization

Central Electrochemical Research Institute (CECRI)

Principal Investigator

Mrs. Hemavathi S

Central Electrochemical Research Institute (CECRI)

CO-Principal Investigator

Dr. Kuldeep Singh

CSIR - Central Electrochemical Research Institute, Chennai, Tamilnadu (600113)

CO-Principal Investigator

Er. S P Thipperudraswamy

Central Electrochemical Research Institute (CECRI)

About

The Indian government is focusing on reducing carbon emissions in the automobile industry, with a market share of 60-80% dominated by 2WD/3WD vehicles. The country's Emissions Model IEM targets 2030-2060 for electric vehicles (30-100%). Energy storage systems in the industry need innovation and breakthroughs in capacity planning, battery uptime, and ROI. Artificial Intelligence (AI) and machine learning algorithms can advance the energy storage sector by collecting and analyzing data, optimizing power utilization, and predicting potential failures. This project aims to deliver an AI-based smart battery management system for real-time control and future life prediction of Li-ion battery packs in 2W and 3W EV applications.

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Funding Organization

Department of Science and Technology (DST)

Quick Information

Area of Research

Computer Sciences and Information Technology

Focus Area

AI and Machine Learning

Start Year

2024

End Year

2026

Sanction Amount

₹ 1.20 Cr

Status

Ongoing

Contact

hemavathi@cecri.res.in,kuldeep@cecri.res.in,tpswamy@cecri.res.in

Output

No. of Research Paper

Technologies (If Any)

No. of PhD Produced

No. of Patents

Filed : 00

Grant : 00

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