yaiLab provides AI-powered battery analytics to estimate health and predict degradation for grid-scale energy storage. Their platform helps optimize battery performance and lifespan, facilitating better integration of renewable energy sources into the power grid.
Funding
Funding not disclosed
Founders
Product
Problem
Grid-scale battery energy storage systems face challenges in accurately predicting degradation and optimizing performance under real-world operating conditions. Inaccurate state-of-health estimations can lead to suboptimal asset selection, reduced battery lifespan, and decreased profitability for renewable energy integration.
Solution
yaiLab offers an AI-powered predictive maintenance platform that analyzes battery data to estimate state-of-health and forecast degradation for grid-connected battery systems. The platform utilizes machine learning algorithms to model the complexities of battery degradation under diverse operating conditions, providing individualized assessments for each battery asset. By connecting battery management systems to yaiLab's cloud-based API and UI, users can track degradation in real-time, extend battery lifetime, and maximize profitability through optimized asset selection and performance management. The platform's chemistry-agnostic approach ensures compatibility with current and future battery technologies.
Target Audience
yaiLab targets grid operators, renewable energy companies, and battery asset managers seeking to optimize the performance and lifespan of their energy storage systems.
Features
- Cloud-based API and UI for seamless integration with battery management systems
- AI-powered algorithms for accurate state-of-health estimation and degradation forecasting
- Chemistry-agnostic solution adaptable to various battery chemistries
- Real-time degradation tracking under real-world operating conditions
- Individualized degradation estimation for each battery asset
- Interactive dashboard for visualization and performance monitoring
- Error rates of only 0.3% in degradation tracking