Improve Vehicle Uptime with
AI-Driven
Electrical System Maintenance

Executing electrical system health maintenance routines in a traditional workflow involves:

• Vehicle Downtime: Trucks must be pulled out of service and brought to a physical service center for routine health checks.
• Manual Testing: Technicians must manually test various engine states (key on, crank, running) to capture electrical signals.

Sonatus Collector AI enables fleet operators to deploy lightweight, dynamic, trigger-based data collection policies across the fleet. These policies automatically capture voltage and electrical signals under specific operating conditions that would traditionally require shop-floor diagnostic tools.

In this example, the Sonatus Collector AI captures measurements from multiple engine states including:

• Key on
• Crank
• Engine Cooling

For each event, Sonatus AI Technician ingests critical signals, including:

• Voltage
• RPM
• Electrical ripple
• Temperature

This allows Sonatus AI Technician to recreate the same diagnostic conditions typically performed during manual electrical system tests.

After collecting the necessary signals, Sonatus AI Technician analyzes the measurements in the cloud to evaluate the health of the vehicle’s electrical components. The analysis may reveal a significant voltage drop between the key on and cranking states. The Sonatus AI Technician knowledge base may attribute this voltage drop to a failing component such as the starter, which could eventually lead to a no-start condition if left unresolved. At the same time, Sonatus AI Technician verifies that other key components including the battery, alternator, and charging system are operating normally.

Once the analysis is complete, Sonatus AI Technician delivers actionable recommendations for resolving the issue.

For instance, Sonatus AI Technician may recommend:

• Inspecting the starter solenoid connections
• Checking ground straps for corrosion
• Verifying electrical connections associated with the starter assembly

These recommendations allow technicians to focus directly on the likely root cause rather than spending time performing exploratory diagnostics.

By leveraging Sonatus AI Technician and Collector AI, OEMs and fleets can move from fragmented, manual maintenance to condition-based maintenance (CBM). This virtualization reduces vehicle downtime, frees up shop technicians for more complex tasks, and paves the way for the future of Sonatus AI Director, in which edge-deployed models continuously monitor vehicle health and alert operators before a failure occurs.