IIT Roorkee to develop AI-driven BMS for energy storage
On February 25, 2026, the Indian Institute of Technology (IIT) Roorkee announced a strategic collaboration with MaxVolt Energy to develop innovative Artificial Intelligence (AI)-driven Battery Management Systems (BMS) aimed at enhancing energy storage and electric mobility applications. This partnership marks a significant step towards integrating advanced technologies into battery management, which is crucial for the future of sustainable energy solutions.
Overview of the Collaboration
The Memorandum of Understanding (MoU) signed between IIT Roorkee and MaxVolt Energy outlines a comprehensive plan to incorporate AI and Machine Learning (ML) algorithms into next-generation BMS platforms. The focus will be on:
- Real-time monitoring of battery systems
- Predictive diagnostics for battery health
- Adaptive charging protocols
- Improved thermal management for lithium-based batteries
Goals of the Research Initiative
Officials involved in the project have highlighted several key objectives for the research initiative:
- Enhancement of the accuracy of State-of-Charge (SoC) and State-of-Health (SoH) estimations.
- Improvement of battery lifecycle management to reduce degradation.
- Support for battery performance under varying operational and climatic conditions.
Predictive Maintenance Features
A significant component of the collaboration is the incorporation of predictive maintenance features within the BMS. By analyzing battery performance data, the system aims to:
- Estimate remaining life cycles of batteries
- Assist in decision-making related to battery reuse, refurbishment, or recycling
This predictive capability is expected to enhance the overall sustainability of battery technologies, aligning with global efforts to promote environmental responsibility.
Alignment with Indian Grid and Environmental Conditions
The research will specifically consider the unique characteristics of the Indian grid and environmental conditions. This alignment is essential for ensuring that the developed systems are not only effective but also practical for real-world applications in India.
Collaboration Framework
The joint program will involve a collaborative effort among faculty members, research scholars, and engineering teams from both IIT Roorkee and MaxVolt Energy. The teams will focus on:
- Designing AI-enabled BMS solutions
- Prototyping these solutions for practical testing
- Validating the effectiveness of the developed systems
Centre of Excellence for Battery Technologies
As part of this collaboration, a Centre of Excellence is proposed to be established at the IIT Roorkee campus. This center will focus on:
- Research on second-life battery reusability detection
- Advancements in BMS technologies
The establishment of this center signifies a commitment to advancing research in battery technologies and promoting sustainable practices in energy storage and electric mobility.
Industry Perspective
Vishal Gupta, Co-Founder and Technical Director at MaxVolt Energy and MaxVolt ReEarth, expressed optimism about the collaboration. He stated, “This partnership aims to strengthen research and development efforts in advanced battery technologies, which are critical for the future of energy storage and electric vehicles.”
Conclusion
The collaboration between IIT Roorkee and MaxVolt Energy represents a significant advancement in the field of energy storage and electric mobility. By leveraging AI and ML technologies, the project aims to enhance battery management systems, improve sustainability, and support the growing demand for efficient energy solutions. As the world moves towards greener alternatives, initiatives like this are crucial for paving the way for innovative technologies that can meet future energy challenges.
Note: The information provided in this article is based on the latest updates and developments as of February 2026.
