Coverage will include, but is not limited to:
- AI for Battery Management Systems (BMS)—Predictive analytics, intelligent control, and state estimation for enhanced battery life, performance, and safety
- AI in Battery Design & Materials Discovery—Accelerated material prediction, synthesis optimization, and novel battery chemistry development
- AI for Battery Manufacturing & Quality Control—AI-driven process monitoring, defect detection, and quality assurance in battery production
- Cost-Benefit Analysis of AI—Quantify the economic impact, ROI, and efficiency gains from AI implementation in energy systems and battery applications
- Predictive AI for Battery Degradation—Models for predicting battery lifespan, optimizing usage, and facilitating second-life applications and recycling
- AI for Energy Storage System (ESS) Optimization—Intelligent management of distributed battery energy storage systems, including charge/discharge and integration with renewables
- AI & Data Analytics for Energy Efficiency—AI for optimizing energy consumption in various sectors
- Ethical AI, Regulations, and Policy in Energy—Responsible AI development, data privacy, and policy frameworks for intelligent energy systems
The deadline for priority consideration is September 19, 2025.
All proposals are subject to review by session chairpersons and/or the Scientific Advisory Committee to ensure the overall quality of the conference program. Additionally, as per Cambridge EnerTech’s policy, a select number of vendors and consultants who provide products and services will be offered opportunities for podium presentation slots based on a variety of Corporate Sponsorships.
Opportunities for Participation: