Software & Analytics

Software & Analytics

Predictive Battery Analytics Platforms

Predictive Battery Analytics Platforms

Cloud-Based Algorithms Overcome BMS Limitations BMS Limitation

How Cloud-Based Algorithms Overcome BMS Limitations

Short-sighted

Focused on reacting to acute issues, the BMS has limited capacity to learn from other batteries in the system and in the field.

Statistical Anomaly Detection: Cloud analytics can compare data from millions of cells, enabling statistical anomaly detection and trend analysis. This allows for the early identification of deviations from normal behavior, helping prevent potential issues.

Limited Computational Power

Inconsistencies with Aging Model Updates: It may not adapt its algorithms as the battery ages or operates under varying conditions, leading to inaccuracies, Inaccurate SoC and SoH estimation, impacting overall system performance.

Cloud solutions offer scalable computational power. This scalability ensures that data from external systems can be efficiently processed and analyzed, maintaining system reliability and accuracy.

Limited Access to Historical Data

The BMS typically lacks robust historical data analysis capabilities, hindering trend monitoring and long-term performance analysis.

Cloud-based solutions can investigate historical data, identifying long-term trends and potential problems that may not be apparent to a BMS relying on real-time data alone.

Not 100% Fail-Safe

The BMS itself can experience problems. For example, if a BMS doesn’t recognize a sensor error, it can result in a battery fault.

Cloud analytics provide continuous monitoring of the BMS and sensor functionality. It can detect BMS malfunctions and sensor issues, preventing potentially significant problems.

Lacks Ability to Foresee Incidents

The BMS cannot predict unexpected incidents, such as incorrect current data due to loose plugs.

Cloud-based platforms leverage advanced forecasting models to predict battery performance more accurately. This enables proactive maintenance and optimization, ensuring the battery system operates efficiently.

Source: https://www.accure.net/battery-knowledge/battery-management-systems-and-predictive-analytics-overview

Extracted from the PDF; charts and images may read imperfectly.