Implementation of Digital twin in Battery charging and forming line in Battery Manufacturing company

Project 1

Problems in Battery Charging and Forming Line

project problem
Extreme Ambient Temperatures
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Extreme Ambient Temperatures

    Production often stops as ambient temperatures hit 55°C, triggering automatic shutdowns to prevent damage.

Dust Accumulation on Connectors
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Dust Accumulation on Connectors

    Dust on connectors raises resistance, causing overheating and sparks that can ignite flammable materials, leading to fires and up to 7 days of production loss.

Frequent Breakdowns & Maintenance Costs
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Frequent Breakdowns & Maintenance Costs

    Frequent dust-related breakdowns and overheating drive up maintenance, replacement costs, and downtime.

Acid Fume Accumulation
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Acid Fume Accumulation

    Acid fumes corrode charging points, increasing resistance and sparking, which can ignite fumes and cause fires with up to 7 days of downtime.

Manual Monitoring by Inexperienced Operators
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Manual Monitoring by Inexperienced Operators

    Manual parameter monitoring using Excel-like tools by non-technical operators often results in missed critical anomalies—like temperature surges, current spikes, or acid fumes—detected only after failures or fires occur.

Proposed Solution: Real-Time Digital Twin System

Computer Vision Algorithms for real-time detection of dust, sparks, smoke, corrosion, and physical anomalies.

Sensor Integration to monitor and alert for threshold breaches.

HVAC Integration to auto-regulate temperature based on real-time data inputs.

Early Warning & Alert System with dashboard visualization and mobile/desktop notifications for proactive intervention.

Automated Data Logging & Analysis replacing manual Excel monitoring with smart, intuitive interfaces.

solution

Key Value Proposition from Digital Twin of Battery Charging Line

Safety

Safety

The supervisory control feature enables a new dimension of safety by reducing the risk of hazards through continuous monitoring.

Reduction in maintenance

Reduction in maintenance

50% reduction in maintenance cost of spare parts per machine per year by implementing continuous remote monitoring.

Reduction in unplanned downtime

Reduction in unplanned downtime

50% reduction in unplanned downtime by advanced analytics and AI.