EV Fleet Operations
are Complex. WideSense AI
Makes them Easier

Many fleet operators face the constant challenge of keeping electric vehicles (EVs) on the road and operating smoothly, especially when unpredictable variables like traffic, weather, and changing schedules come into play. Managing EV fleet uptime, balancing state of charge, and coordinating charging in real time can feel like an impossible juggling act.

WideSense’s real-time operations suite is designed to tackle these exact issues, empowering you to maximize EV fleet efficiency with dynamic, AI-powered guidance. Our solution continuously adapts to shifting conditions, optimizing schedules, work assignments, and charging strategies, ensuring your fleet stays prepared and operational—no matter what the day brings.

Key Features

Advanced Multi-constraint Optimization

Our AI-powered real-time operations suite provides continuous guidance and decision support to optimize scheduling, work assignment, and charging in changing conditions.

Connected and Contextually Aware

In addition to vehicle and facility status information, environmental conditions such as terrain, traffic, and weather are continuously updated.

Real-Time Guidance and Decision Support

Operational guidance is designed for your specific fleet considering specific vehicles, depot configuration, and required work and routes.

Smart Alerts and Monitoring

Keep your fleet running smoothly with configurable contextually relevant actionable alerts that deliver the insights you need with none of the noise you don’t.

How it works

A Day in the Life of an eBus Fleet with WideSense RTOG
WideSense Real-Time Operations Guidance (RTOG) supports every stage of an eBus’s operational cycle, ensuring efficiency, reliability, and sustainability from the start of the day to its conclusion.

Here’s how RTOG integrates across key functions:

  • Pre-shift preparation and pull-out

    Fleet Readiness Assessment: Before the day begins, RTOG validates the feasibility of each block by analyzing vehicle State of Charge (SoC), maintenance status, and weather conditions.

    Intelligent Bus Assignment: Using real-time digital twin modeling, RTOG assigns buses to specific blocks, ensuring optimal vehicle utilization and operational reliability.

    Driver and Route Coordination: RTOG provides drivers with precise directions for pull-out operations, detailing initial blocks, SoC requirements, and SoC monitoring plans.

  • Active operations and mid-day monitoring

    Real-Time Energy Consumption Monitoring: During service, RTOG tracks energy consumption across each route segment, leveraging real-time telemetry data to adjust guidance dynamically.

    Predictive SoC Monitoring: Alerts notify operators of potential low SoC risks well in advance, suggesting preemptive actions like schedule adjustments, on-route charging, or opportunities to adjust operator inputs.

    Operational Exception Management: If unforeseen issues arise (e.g., delays or weather changes), RTOG re-optimizes bus assignments, ensuring minimal disruption.

    Alternative Bus Recommendations: If a vehicle becomes unavailable, RTOG identifies backup buses and adjusts pull-in/pull-out schedules accordingly.

  • Mid-day charging and scheduling updates

    Dynamic Charging Optimization: RTOG determines the most efficient charging intervals during, for example during mid-day breaks, prioritizing vehicles and planning charging sessions based on upcoming assignments and depot constraints.

    Charge Scheduling Adherence: RTOG monitors charge progress to prevent delays, sends charger alerts for exceptions, and ensures sufficient SoC levels are achieved.

    Operations Communication: Fleet teams receive real-time updates on vehicle readiness, minimizing idle time and enhancing schedule adherence.

  • Evening service and pull-in

    Performance Monitoring: As the day progresses, RTOG tracks fleet performance against planned KPIs (e.g., energy efficiency, service compliance).

    End-of-Day Pull-In Guidance: RTOG directs vehicles to optimal charging, considering remaining SoC, next-day requirements, and charger availability.

Continuous optimization
and learning

Depot Operations Simulation: RTOG evaluates depot queueing and charger utilization, identifying bottlenecks and proposing actionable improvements.


Tariff Optimization: Electricity costs are minimized through intelligent charge scheduling that balances work requirements with energy prices, tariffs, and peak and demand charges.


Digital Twin Updates: Learnings from the day’s operations are continuously fed back into RTOG’s digital twin models, improving accuracy, adapting to aging and degradation, and enabling better decision-making.

Turning Strategic Plans into Reliable Daily Operations
WideSense RTOG doesn’t just guide your fleet—it transforms eBus operations by providing real-time, physics-based insights and continuous optimization, ensuring that every step of the day is as efficient and reliable as possible.

Ready to enhance your operations? Contact us to learn more.

Request a demo to see how AI-powered guidance can enhance your EV operations.