Design and Development of AI-based Smart Battery Management System for Energy storage and E-Mobility applications
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)
Project Overview
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.
Central Electrochemical Research Institute (CECRI)
Acces sibility Controls