EcoDrive v2.1
Electric Fleet Operational Intelligence · UK Market

Know Which EV Missions Will Fail
— Before Dispatch

PulseMotion uses physics-based energy modelling and adaptive SECU control logic to predict mission success before the vehicle leaves the depot — and builds a failure registry that gets smarter with every trip.

Physics-based · Not rule-of-thumb · Peukert thermal correction · UK route calibrated · ESG-ready reporting
The Problem

EV fleets fail missions because energy consumption is unpredictable

Fleet managers planning electric vehicle routes are operating blind. Temperature drops, unexpected payload, stop-start traffic, and HVAC load combine in ways that generic range estimates cannot capture. The result: stranded vehicles, failed deliveries, and eroded confidence in fleet electrification.

🌡️
Cold Weather
UK winter temperatures reduce usable battery capacity by 5–15%. Standard range estimates ignore Peukert thermal effects.
📦
Variable Payload
A 500 kg overload adds 8–12% to energy consumption. Fleet managers currently estimate this by hand.
🏔️
Terrain Impact
Hilly routes like the M62 or A1 can consume 30–40% more energy than flat motorway. Route planners rarely account for grade energy.
🔌
Auxiliary Drain
HVAC, lighting, and refrigeration loads are treated as fixed estimates. In reality, they vary by up to 5.5 kW depending on conditions.
The Solution

An operational intelligence layer that knows before you go

01
Fleet Registry
Every vehicle, battery capacity, payload spec, and health status tracked in a single registry. The foundation for accurate prediction.
02
EcoDrive Engine
Physics-based energy model calculating rolling resistance, aerodynamic drag, grade energy, HVAC load, and regenerative braking recovery — calibrated for UK roads and climate.
03
SECU Control Layer
Smart Energy Control Unit — adaptive rules that throttle HVAC, reduce auxiliary load, and maximise regen braking when reserve margins are tight.
04
Failure Intelligence
Every mission classified post-completion. Variance attributed to payload, thermal loss, or auxiliary drain. The dataset that makes predictions smarter over time.
Platform Modules

Built like enterprise infrastructure. Not a dashboard.

PulseMotion is structured as an operating system for fleet energy — six integrated layers from pre-dispatch readiness to ESG reporting.

⚡
Fleet Command
Pre-dispatch readiness & live status
🧠
Mission Intelligence
EcoDrive physics prediction engine
🔧
Energy Operations
SECU adaptive control rules
🔬
Risk & Anomaly
Failure classification & attribution
📊
Analytics
Fleet-level KPIs & trend analysis
📋
ESG Reports
Compliance-ready export & audit log
Where does the data come from?

Three-phase data architecture — no hardware dependency on day one

Phase 1 · Now
Software Intelligence
Route parameters, vehicle specs, weather data, and operator input feed the EcoDrive engine. Zero hardware required. Deployable to any fleet in days.
● Live
→
Phase 2 · 12–18 months
Telematics Integration
Direct integration with fleet telematics APIs, vehicle OBD ports, and charging network data. Real-time SoC, temperature, and energy flow.
○ Roadmap
→
Phase 3 · 24–36 months
SECU Hardware Module
Proprietary edge device connecting directly to vehicle CAN bus. Enables live SECU control signals — HVAC throttling, regen braking optimisation.
○ Planned
Market Position

A new category between fleet tracking and vehicle intelligence

Every major player in EV and fleet intelligence leaves a gap. PulseMotion fills it.

Wayve / Tesla
Autonomous driving & vehicle intelligence
Works inside a single manufacturer's ecosystem
Samsara / Motive
Fleet tracking & telematics
Tells you where vehicles are and what fuel they used — not whether the mission will fail
PulseMotion
This Layer
Fleet energy reliability intelligence
Predicts whether a mission will succeed before the vehicle leaves the depot
OEM Vehicle Layer
Battery management, motors, CAN bus
Hardware — not software intelligence
Palantir
Data OS for defence & enterprise
Palantir ingests data from disparate systems and turns it into operational decisions. Gotham predicts which aircraft will fail tomorrow. PulseMotion is the same concept applied to EV fleet energy.
Their gap: does not operate in fleet energy
Samsara
Fleet tracking · $20B market cap
Samsara tells fleet operators where their trucks are and how they're being driven. Valuable visibility — but no energy prediction, no pre-dispatch intelligence, no failure classification.
Their gap: tracks fleets, doesn't predict mission energy failure
Tesla Energy
Vehicle intelligence platform
Tesla's fleet telemetry is exceptional — but only for Tesla vehicles. A logistics company running Volkswagen eSprinters, Arrival vans, and BYD trucks has no equivalent intelligence layer.
Their gap: locked to Tesla hardware ecosystem
"PulseMotion is building the operational intelligence layer for electric vehicle fleets — predicting energy mission failure before dispatch, for any vehicle, on any route."
PulseMotion positioning · UK Market · 2026

Ready to see it in action?

Live platform with real physics engine. 12 UK fleet vehicles. Mission database persists between sessions.

PulseMotion · Electric Fleet Operational Intelligence · United Kingdom
SECU ACTIVE
Monitored 124
Prevented 11
Energy Saved 420 kWh
Fleet Reserve +450 kWh
Grid Price £0.29/kWh
Grid Supply 7,400 kWh
Grid Demand 6,950 kWh
SECU MODE
System Time --:--:--
PulseMotion / Mission Control

Live Fleet Operations Room

Real-time energy intelligence · SECU decision engine · Animated mission tracking

Fleet Energy Balance
Available
—
Required
—
Balance
—
At-Risk Vehicles
—
Required —
Loading…
Active Missions
12 active
Live Fleet Map — United Kingdom
● Safe   ● Warning   ● Risk
Select a mission to view live telemetry
SECU Decision Engine
0 actions
Analysing fleet energy state…
System Event Log
Live
PulseMotion / Fleet Command

Prevent EV Fleet Mission Failure Before Dispatch

Operational intelligence for UK electric vehicle fleets — know before you go

Fleet Risk Score — Today
—
Calculating mission failure probability…
12
Missions Today
—
Cleared
—
Marginal
—
At Risk
EcoDrive Status
● Engine Active
Physics model v2.1
Peukert · UK Climate
Total Fleet Vehicles
12
Active in registry
Cleared for Dispatch
—
Energy score ≥ 70
Vehicles At Risk
—
Require operator review
Predicted Failures (24h)
—
EcoDrive forecast
Fleet Energy Readiness — 7 Day
% of fleet cleared for dispatch each day
Energy Source Contribution
Last 24h — SECU multi-source data
Battery (Primary)82%
Regenerative Braking10%
Thermal Recovery3%
Vibration Harvesting3%
Airflow / Turbine2%
SECU — Smart Energy Control Unit. Phase 2 hardware streams live multi-source data to this layer.
Pre-Dispatch Mission Readiness
EcoDrive real-time energy assessment — click any row to expand
Vehicle IDMission RouteDistancePayloadBattery SoCEnergy ScoreReserveStatus
Vehicle Energy Diagnostics
🔍

Select a vehicle above to view full energy diagnostics and dispatch recommendation.

Predicted Energy Failures — Next 24h
EcoDrive anomaly detection
VehicleRiskPrimary CauseAction
Live Fleet Energy Map — United Kingdom
● Safe Route● Marginal● High Risk
Vehicle Health Registry
Battery lifecycle intelligence — cycles, degradation, predicted replacement
PulseMotion / Mission Intelligence

EcoDrive Prediction Engine

Know if a mission will succeed before the vehicle leaves the depot

Mission Parameters
E_total = E_rolling + E_aero + E_grade + E_hvac − E_regen
Peukert thermal correction applied below 10°C (UK climate model)
η_drivetrain = 0.92  ·  η_regen = 0.65
Prediction Output
⚡

Configure your mission parameters and run EcoDrive to generate a physics-based energy prediction.

Mission Failure Simulator
Toggle risk factors to see real-time impact on energy requirement and failure probability
❄️
Cold Weather
−10°C ambient · Peukert loss
⚡
Aggressive Driving
+30% aero drag · reduced regen
🔋
Battery Degradation
85% capacity · 300+ cycles
🚦
Heavy Traffic
+40% idle load · urban stop-start
Scenario Impact
Energy Δ
+0%
Failure Prob.
0%
Reserve Δ
—
PulseMotion / Energy Operations

Smart Energy Control Unit

SECU rule engine — adaptive energy budget management and real-time power allocation

Active Control Rules
⚡
Reduce Auxiliary Power 20%
Trigger: Reserve Energy < 15%
STANDBY
❄️
HVAC Throttle to Minimum
Trigger: Reserve Energy < 12%
STANDBY
⚠️
Flag Mission HIGH RISK
Trigger: Reserve Energy < 10%
STANDBY
🛑
Recommend Mission ABORT
Trigger: Reserve Energy < 5%
STANDBY
🔄
Maximise Regenerative Braking
Trigger: SoC < 40% on grade terrain
STANDBY
Live SECU State
🔌

Run a mission on the Mission Intelligence page to activate SECU monitoring.

Energy Budget Breakdown
📊

Run a mission to see real-time energy budget allocation across rolling resistance, drag, grade, and HVAC.

Control Logic Architecture
Input: predicted_reserve · soc · terrain
↓ Rule Engine: priority-ordered evaluation
↓ Output: control_actions[] · risk_level
↓ Feedback: re-run EcoDrive with constraints
↓ Dispatch: GO | MARGINAL | HIGH | ABORT
Phase 2: SECU outputs feed CAN bus signals directly to vehicle systems — HVAC, auxiliary loads, regenerative braking intensity.
PulseMotion / Risk & Anomaly Detection

Failure Classification Engine

Compare predicted vs actual energy. Classify root cause. Build the mission registry dataset.

Post-Mission Analysis
Predicted (EcoDrive)
Actual (Post-Mission Telemetry)
Classification Result
🔬

Enter predicted and actual values then run the classifier to attribute variance to its root cause.

Attribution Model
variance = actual − predicted
payload_delta = Δpayload × 0.08
thermal_loss = max(0, (10−T) × 0.5)
residual = variance − payload − thermal
primary_cause = argmax(contributions)
Mission Anomaly Registry
0 records — click any row to expand
Mission IDVehiclePredictedActualVariancePrimary CauseSeverity
📋

No anomalies classified yet. Load demo data or simulate 50 missions from the Reports page.
PulseMotion / Analytics

Fleet Analytics

Operational intelligence across all missions, vehicles, and energy events

Mission Failure Forecast — Next 24h
—
Simulate missions or run EcoDrive analyses to generate forecast
Payload Variance—
Thermal Loss (Cold Weather)—
Auxiliary Drain—
Top contributing failure factors · EcoDrive attribution model
Fleet Reliability
—
Mission success rate
Abort Rate
—
Flagged missions
Missions Run
0
This session
Avg Variance
—
Predicted vs actual
Recent Missions
VehicleDistanceEnergy UsedRisk ScoreDispatch
⚡

No missions yet. Run your first EcoDrive analysis.
Anomaly Distribution
🔬

Classify failures on the Risk & Anomaly page to see cause distribution.

Risk Score History
No mission history yet.
SECU Intervention Log
No interventions logged.
PulseMotion / Reports

Mission Energy Fleet Report

Aggregate UK fleet intelligence — ESG-ready, export to JSON for compliance reporting

Fleet Reliability Score
—
Reliability
Fleet Summary
Total Missions—
Successful Completions—
Aborted / High Risk—
Avg Energy Consumption—
SECU Interventions—
Top Anomaly Causes

Hit Simulate 50 Missions or ⚡ Demo Mode to instantly generate a full dataset.

Energy Variance Report
No variance data yet.
Mission Audit Log
No missions recorded.