Transforming Battery
Diagnostics and Monitoring
Data Into Intelligent Insights
Precision SoC Prediction with Online EIS
Achieve highly accurate charge estimation, improving energy utilization, system efficiency, and battery performance.
Smart DOD Management for Battery Longevity
Optimize depth of discharge to minimize degradation, extend battery lifespan, enhance safety, and maximize efficiency.
Predictive Maintenance with AI/ML Integration
Prevent battery failures and extend lifespan using advanced machine learning models for predictive analytics.
Economic Efficiency and Cost Savings
Reduce operational costs and increase ROI with innovative battery management and optimization technologies.
Scalability and Flexibility For Customer Needs
Adaptable solutions designed to meet diverse energy storage requirements across industries and use cases.
Key Features
Online Electrochemical Impedance Spectroscopy (EIS)
EIS provides high-resolution, real-time diagnostics, detecting battery issues early to optimize performance and extend battery lifespan.
Real-time online battery monitoring
Our platform continuously monitors battery health in real time, enabling predictive maintenance and reducing unexpected downtime.
Our Solution
At Doyam, we provide advanced hardware and software solutions for battery diagnostics and management, designed to enhance State of Charge (SOC) accuracy and optimize Depth of Discharge (DOD). Our integrated technology maximizes battery efficiency, extends lifespan, and reduces operational costs—tailored for Battery Energy Storage Systems (BESS), electric vehicles, and second-life applications.
Use Cases: Stationary Storage
Precise SoC prediction ensures optimal energy utilization, while smart DoD management minimizes degradation, extending battery lifespan. Doyam’s advanced diagnostics enhance system reliability, reduce operational costs, and maximize return on investment, making BESS more efficient, sustainable, and economically viable.
Supported by:
