Doyam provides real-time, high-resolution monitoring and diagnostics for first-life and second-life batteries, utilizing advanced data analytics to optimize battery performance. This technology enhances the lifespan and efficiency of energy storage systems, addressing the challenges of battery degradation and resource sustainability.
Funding
Funding not disclosed
Founders
Product
Problem
Accurate State of Charge (SoC) prediction and Depth of Discharge (DoD) management are critical for maximizing the efficiency, longevity, and cost-effectiveness of Battery Energy Storage Systems (BESS) and renewable energy applications. Traditional battery diagnostics often lack the precision needed to prevent premature degradation and ensure optimal energy utilization in both first-life and second-life batteries.
Solution
Doyam provides hardware and software solutions for real-time battery diagnostics and management, leveraging Online Electrochemical Impedance Spectroscopy (EIS) and AI-driven analytics to enhance SoC accuracy and optimize DoD. The integrated platform delivers continuous, high-resolution monitoring of battery health, enabling predictive maintenance and minimizing downtime. Doyam's technology helps businesses make data-driven decisions to optimize battery performance, reduce operational costs, and extend battery lifespan across BESS, electric vehicles, and second-life applications. By providing precise insights into battery health and performance, Doyam ensures maximum energy utilization and long-term reliability for modern energy systems.
Target Audience
Doyam's primary customers include businesses managing Battery Energy Storage Systems (BESS), electric vehicle (EV) batteries, and second-life battery applications, as well as those in the renewable energy sector seeking to optimize battery performance and reduce operational costs.
Features
- Online Electrochemical Impedance Spectroscopy (EIS) for high-resolution, real-time diagnostics and early detection of battery issues
- Real-time online battery monitoring for predictive maintenance and reduced downtime
- AI/ML integration for predictive analytics to prevent battery failures and extend lifespan
- Battery Simulation Tool for deep operational analysis and real-time performance assessments
- Battery State of Health (SoH) Monitoring for real-time tracking and early degradation detection
- Battery Cost Function tool for data-driven financial decisions and ROI maximization
- Battery Communication Solutions supporting MODBUS and CAN bus protocols for seamless real-time monitoring
- Battery Optimization Solutions for intelligent SOC and DOD management, dynamically adjusting charging and discharging cycles