WideSense Energy Models for EV Fleet Scheduling
Precision-Driven Scheduling for EV Fleets
Unlock Optimal Scheduling Efficiency with Data-Driven Energy Models
Fleet operators face unprecedented challenges in their efforts to maximize the value of their electric vehicles (EVs). Unlike traditional internal combustion engine (ICE) fleets, EV fleets come with operational constraints that make traditional planning approaches ineffective. Today’s scheduling tools, for example, rely on fleet operators to provide energy consumption estimates - an approach that can often leading to over-procurement of vehicles and infrastructure, unnecessary labor costs, and operational inefficiencies.
WideSense eliminates the guesswork with highly accurate, continuously updated energy consumption models that integrate seamlessly into existing scheduling platforms. Our physics-based AI models adapt dynamically to real-world conditions, enabling fleet operators to optimize schedules, reduce costs, and enhance operational resilience.
How it Works
1. Real-World Data Integration
WideSense fuses telematics, vehicle history, and operational data to create continuously-updated digital twins tailored to your vehicles and operations.
Route topology – speed variations, elevation changes, traffic conditions.
Weather conditions – seasonal and real-time variations.
Fleet heterogeneity – battery health, vehicle age, and specifications.
Service constraints – deadhead trips, layover times, charging patterns.
2. AI-Powered Energy Models
Our physics-based AI toolchain simulates vehicle energy use for every trip, factoring in precise operational conditions rather than relying on generalized fleet averages. This approach ensures energy predictions remain accurate across routes, seasons, and vehicle configurations.
3. Seamless Scheduling Integration
WideSense delivers consumption models in a structured format compatible with leading scheduling tools.
No learning curve, scheduler training, or additional tools required!
Ready-to-import file format – Consumption values for each EV type, route, and time segment considering both deadhead and service operations.
Fleet Adaptability – EVs categorized into performance-based groups considering age, specification, measured range capabilities and more.
Dynamic risk tolerance settings – Schedulers can adjust for extreme weather, traffic congestion, and service disruptions.
Proven Benefits for EV Fleet Operators
Eliminate Over-Procurement & Reduce Costs
Accurately predict EV needs to avoid unnecessary fleet
expansions and excessive charging infrastructure investments.
Enhance Operational Resilience
Minimize service disruptions caused by unexpected energy
depletion, road calls, and last-minute vehicle swaps.
Improve Schedule Efficiency
Reduce pull durations, deadheads, and fleet idling time with optimized energy-aware schedules.
Continuously Updated for Accuracy
Unlike static estimates, WideSense models are continuously refined, ensuring that predictions remain accurate as fleets age,
degrade, and encounter new route conditions.
Future-Proof Your EV Fleet with Continuous Intelligence
WideSense energy models are delivered as an ongoing service, ensuring that fleet operators always have the most up-to-date insights for effective scheduling and planning.
Transform how you schedule and operate your EV fleet.
Reduce fleet size without compromising service
Improve schedule reliability with EV and trip-specific consumption forecasts.
Minimize operating costs with data-driven energy optimization.
