ECCOMOBILITY’s EECOPOWER system leverages advanced characterization techniques and self-learning technology to swiftly detect and diagnose unseen fault conditions and anomalies. The system rapidly tests battery cells and modules by analyzing over 1,400 performance indicators using AI algorithms, examining both temporal and spectral responses of the battery with unmatched precision. As a result, EECOPOWER identifies defective stacks, cells, and modules with a wide range of faults, including issues with separators, cathodes, electrochemistry, contamination, and welding. This powerful capability reduces testing time, minimizes costly failures, and provides actionable insights that enhance production yields and strengthen product reliability across the battery supply chain. By combining scalability, speed, and accuracy, ECCOMOBILITY positions itself as a trusted partner for OEMs, battery manufacturers, and system integrators: accelerating time-to-market, improving safety standards, and advancing the future of EVs, energy storage and electrification worldwide. EECOMOBILITY has secured funding from a global group of mission-aligned investors, including RiSC Capital, Emerson Ventures, Automotive Ventures, and a North American Original Equipment Manufacturer (OEM).
| Website | http://www.eecomobility.com |
| Employees | 14 (12 on RocketReach) |
| Founded | 2018 |
| Phone | +1 289-674-0250 |
| Technologies |
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| Industry | Energy Technology |
| Keywords | Fault Detection, Artificial Intelligence, Predictive Maintenance, Condition Monitoring, Machine Learning, Anomaly Detection, Environmental Monitoring, Predictive Analytics, Diagnostic, Sensor Data Analytics, Ai Solutions, Data Analytics, Classification, Iot, Iiot, Deep Learning, Big Data, Software |
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