Products
Battery Warning System BWS
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Real-time Risk AssessmentCombining big data and battery cell anomaly identification algorithms to analyze various parameters, assess battery risk levels in real time, and quickly identify the health and safety status of battery cells; |
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One-click cloud self-checkSupports one-click cloud self-check. By analyzing key parameters such as battery voltage, temperature, and internal resistance, it comprehensively assesses the power station's safety status and generates a cloud-based self-check report. |
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Fault Detection and WarningUsing a 50-item anomaly recognition algorithm, we assess the comprehensive status of battery cells and provide risk warnings 24/7 to prevent further development of safety hazards. |
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Powerful Algorithm ModelPowerful algorithm model and repeated validation with extensive operational data achieves completeness and precision rates exceeding 95%, enabling potential hazards to be identified over 28 days in advance. |
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Room 1005, Building 30, Suzhou Nano City, 99 Jinji Lake Avenue, Suzhou City, Jiangsu Province
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