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

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 an estimated 5–15%. Standard range estimates ignore Peukert thermal effects entirely.
📦
Variable Payload
A 500 kg overload adds an estimated 8–12% to energy consumption. Fleet managers currently account for this by hand — or not at all.
🏔️
Terrain Impact
Hilly routes like the M62 or A1 can consume an estimated 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 practice, they vary by up to 5.5 kW depending on conditions and vehicle type.

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.

Two engines. One decision.

PulseMotion is powered by two complementary systems that work together — one predicts, one acts. Understanding both is understanding the product.

🧠
EcoDrive
The Prediction Engine

EcoDrive answers one question before a vehicle moves: will this mission succeed? It does this using real physics — not a range estimate, not a rule of thumb.

🔄
Rolling Resistance
Tyre friction scaled to vehicle mass and payload. A heavier load costs more energy on every kilometre.
💨
Aerodynamic Drag
Air resistance scales with velocity squared. Motorway speeds are exponentially more expensive than urban.
🏔️
Grade Energy
Hill climbing costs. The M62 and A1 corridors can consume 30–40% more energy than flat routes.
🌡️
Peukert Thermal Correction
Cold weather restricts battery access. Below 10°C, EcoDrive applies ~0.5% capacity loss per degree — the factor no standard estimate accounts for.
🔌
HVAC Auxiliary Load
Cabin heating draws up to 5.5 kW continuously. On a 2-hour winter mission that's 11 kWh — a significant fraction of usable battery.
Regenerative Braking
Urban stop-start routes recover energy through braking. EcoDrive models regen recovery per terrain type.
Output
GO MARGINAL HIGH RISK ABORT
A specific dispatch decision with the physics behind it
⚙️
SECU
Smart Energy Control Unit · Advisory Layer v1.0

Where EcoDrive predicts, SECU advises. It analyses pre-dispatch conditions and generates actionable recommendations — all dispatch decisions remain with your human operators.

Reserve below 15%
Recommend auxiliary power reduction
Reserve below 12%
Recommend HVAC throttle to minimum
Reserve below 10%
Flag mission HIGH RISK for dispatcher
Reserve below 5%
Recommend ABORT — charge first
SoC below 40% on grade
Recommend maximising regenerative braking
✅ Current: Assisted Mode (v1.0)
SECU surfaces recommendations. Your dispatcher approves every action. All decisions remain human.
🎯 Roadmap: Autonomous Mode (Phase 2)
SECU executes control actions directly via OEM API integration. Estimated Q3 2026 — requires operator trust calibration and hardware access.
Why the distinction matters
SECU v1.0 builds the trust and prediction accuracy needed for operators to graduate to autonomous mode. The advisory phase is not a limitation — it's the validation foundation.
Platform Architecture — How It All Connects
Inputs
📦
Payload & Vehicle Specs
🌡️
Weather & Temperature
🗺️
Route & Terrain
🔋
Battery State & Capacity
EcoDrive Engine
🧠
Physics Model
Rolling resistance · Aero drag · Grade energy · Peukert thermal · HVAC · Regen
🎯
Dispatch Decision
GO / MARGINAL / HIGH / ABORT + reserve %
SECU Layer
⚙️
Rule Engine
5 adaptive rules · Assisted or Autonomous mode
Live Interventions
HVAC throttle · Regen max · Load shed · Abort flag
Learning Loop
📊
Failure Registry
Actual vs predicted · Variance attributed to cause
🔄
Model Calibration
Every mission improves accuracy for your fleet
🔒 The data moat: After 200 missions, PulseMotion has a prediction model calibrated specifically to your vehicles, your routes, and your drivers. No competitor can replicate that accuracy without the same mission history.

Two different jobs. One platform.

The most common question: what's the difference? Here it is in plain terms.

🧠 EcoDrive
⚙️ SECU
What it does
Predicts energy consumption before the vehicle moves
Recommends actions to prevent failure — human dispatcher decides
When it runs
Before dispatch — at the depot
Pre-dispatch advisory + en-route monitoring guidance
What it uses
Route, payload, temperature, terrain, battery state, speed
EcoDrive result, live reserve %, SoC, terrain type, current HVAC
Output
GO / MARGINAL / HIGH RISK / ABORT decision
Recommendations: HVAC reduction · regen advice · charge first · abort flag
Who acts on it
The fleet dispatcher — before sending the vehicle out
The human dispatcher (v1.0 Assisted) — autonomous mode planned Phase 2
Simple analogy
A weather forecast before you leave the house
A co-pilot surfacing warnings — you still fly the plane
Together
EcoDrive stops bad missions before they start. SECU helps dispatchers save marginal ones. Neither is enough without the other.

From depot to delivery — in five steps

Every mission goes through the same intelligence loop. Here's what happens.

01
📋
Dispatcher enters mission
Vehicle, route, payload, conditions. Takes 30 seconds. No hardware needed.
02
🧠
EcoDrive runs the physics
Rolling resistance, drag, terrain, thermal correction, HVAC — calculated together instantly.
03
🎯
Dispatch decision issued
GO, MARGINAL, HIGH RISK, or ABORT — with the specific reason and recommended action.
04
⚙️
SECU monitors en route
If energy margins tighten mid-mission, SECU surfaces recommendations to the dispatcher — HVAC reduction, regen maximisation, or nearest charging point. Dispatcher approves each action.
05
📊
Mission classified & learned
Actual energy vs predicted is recorded. Variance attributed to cause. Model gets smarter with every trip.

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

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
Autonomous Fleet Intelligence
SECU graduates from advisory to autonomous control — executing energy decisions directly via OEM API integration. Requires pilot validation data, operator trust calibration, and hardware partnership agreements.
○ Planned · Data-dependent
Current Development Status
Complete — Phase 1
EcoDrive physics prediction engine · SECU rules-based recommendation layer · ESG compliance reporting · Mission failure classifier · Live demo platform
🔄
In Progress — Phase 2
Telematics API integration · Real vehicle data validation · Prediction accuracy calibration · Pilot fleet onboarding · UK incorporation
📋
Planned — Phase 3
Autonomous SECU control via OEM API · Multi-fleet calibration · Predictive maintenance signals · Driver coaching layer · Enterprise fleet integrations
PulseMotion is a software intelligence platform. Phase 3 autonomous control requires successful pilot validation and operator trust calibration from Phase 2. All roadmap items are conditional on pilot outcomes.

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 before they fail. PulseMotion is inspired by this class of operational intelligence system, applied to the specific domain of EV fleet energy reliability.
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 the fleet energy intelligence platform for UK electric vehicle operators — predicting mission failure before dispatch, preventing it en route, and building the dataset that makes every future prediction more accurate."
PulseMotion · UK Market · 2026 · Software intelligence platform

Validation & development evidence

We are an early-stage platform. Here is an honest account of what has been built, what has been tested, and what is underway.

🧪
Physics Model
  • EcoDrive v2.1 engine built and deployed
  • 12 representative UK fleet profiles modelled
  • 500+ simulated mission scenarios run
  • Real elevation data via Open-Elevation API
  • Live weather via Open-Meteo API
  • Peukert thermal correction calibrated to UK climate range
🚛
Fleet Engagement
  • Outreach underway with UK last-mile operators
  • Pilot discussions initiated — Green Courier, Pegasus, HIVED
  • Structured 60–90 day validation programme designed
  • Success metric defined: <8% prediction variance
  • West Midlands Growth Company engaged
🏛️
Institutional
  • Academic validation pathway: EBRI, Aston University
  • Introduction to Energy & Bioenergy Research Institute underway
  • NatWest Accelerator — application in preparation
  • UK company incorporation in progress
  • Platform live at pulsemotiontechnology.com
What we do not yet have: real fleet telemetry data, signed pilot agreements, or validated accuracy figures. The pilot programme is designed specifically to generate these. We are looking for UK fleet operators willing to run 50+ missions through the platform and share charge log data to validate the model.
Live Operations
Intelligence Tools
Insights
Mission Control · Your live fleet operations room — active missions, energy balance, and SECU decisions in real time
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 --:--:--
💡 Mission Control is your live operations room. It shows all 12 representative UK fleet profiles moving in real time with their energy status. Start by clicking ⚡ Demo Mode to load fleet data.
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
💡 Fleet Command is your pre-dispatch readiness dashboard. It shows whether each vehicle is safe to dispatch today. Expand any vehicle row to see the full energy breakdown behind its dispatch decision.
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
Phase 1 live — Battery primary drive + regenerative braking
Battery (Primary Drive)~90%
Regenerative Braking~10%
Phase 1 (live): Battery primary drive and regenerative braking modelled by EcoDrive. SECU optimises auxiliary load and regen recovery to maximise available range. No additional energy sources are used or claimed.
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
💡 Mission Intelligence is where EcoDrive runs. Fill in a vehicle's mission details and click Run EcoDrive Analysis to get a GO / MARGINAL / ABORT decision based on real physics. Try temperature 2°C, terrain Hilly, HVAC High for a dramatic result.
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
💡 Energy Operations shows the SECU advisory rule engine — the five recommendations that fire when energy margins get tight. Run a high-risk mission on Mission Intelligence first to see the rules activate.
PulseMotion / Energy Operations

Smart Energy Control Unit

SECU advisory layer v1.0 — pre-dispatch recommendations · Human decision required

Assisted Mode — Dispatcher Approves All Actions
Active Advisory Rules
Recommend Auxiliary Power Reduction
Trigger: Reserve Energy < 15%
STANDBY
❄️
Recommend HVAC Throttle to Minimum
Trigger: Reserve Energy < 12%
STANDBY
⚠️
Flag Mission HIGH RISK for Dispatcher
Trigger: Reserve Energy < 10%
STANDBY
🛑
Recommend Mission ABORT — Charge First
Trigger: Reserve Energy < 5%
STANDBY
🔄
Recommend 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.

SECU Architecture
Input: EcoDrive result · predicted_reserve · soc · terrain
↓ Rule Engine: priority-ordered evaluation
↓ Output: recommendations[] · risk_level
↓ Dispatcher: reviews and approves each action
↓ Dispatch: GO | MARGINAL | HIGH | ABORT
v1.0 (live): Advisory recommendations — human dispatcher decides.
Phase 2: SECU outputs feed directly to vehicle systems via OEM API — HVAC, auxiliary loads, regen intensity. Requires operator trust calibration and hardware access.
💡 Risk & Anomaly is where you classify what actually happened after a mission. Enter predicted vs actual energy consumption and the system attributes the difference to its root cause — payload, temperature, or auxiliary drain. Click Simulate Post-Mission on Mission Intelligence to auto-fill this form.
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.

💡 Analytics shows fleet-level trends across all your missions. Hit Simulate 50 Missions on the Reports page to instantly populate all charts with realistic UK fleet data — then come back here to explore.
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
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.
💡 Reports generates your ESG compliance document. Click Simulate 50 Missions to populate the platform with data, then Download ESG Report to see a print-ready Scope 1 carbon report you can hand to a board or regulator.
PulseMotion / Reports

Mission Energy Fleet Report

UK SECR-aligned ESG fleet energy report — Scope 1 carbon data, dispatch intelligence, SECU impact, compliance statement

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.
Platform Development Status
What is live, what is in development, and what is on the roadmap — as of May 2026
Feature Status Notes
EcoDrive v2.1 Physics Engine ✅ Live Rolling resistance, aero drag, grade energy, Peukert thermal, regen braking — deployed and running
SECU Advisory Layer v1.0 ✅ Live 5 advisory rules, human-in-the-loop, Assisted mode — all dispatch decisions remain with operator
Weather API Integration ✅ Live Open-Meteo — real-time temperature, wind speed, wind direction, precipitation
Elevation API Integration ✅ Live Open-Elevation — real ascent/descent correction for grade energy calculation
Battery Degradation Curve ✅ Live Age + cycle-based effective capacity correction — active in EcoDrive calculation
ESG Compliance Reporting ✅ Live UK SECR framework alignment, Scope 1 energy use reporting, CSV + JSON export
Supabase Mission Persistence ✅ Live Missions and failures persisted to cloud database with graceful localStorage fallback
Driver Behaviour Coefficient 🔄 In Development Eco / normal / aggressive multipliers active in model; historical calibration per driver — Q2 2026
Dynamic Risk Thresholds 🔄 In Development Fleet-type-specific thresholds — requires 50+ mission baseline for calibration
OBD2 / Telematics Ingestion 🎯 Phase 2 Real vehicle data pipeline — replaces operator-entered parameters with live telemetry
OEM API Integration 🎯 Phase 2 Direct vehicle commands enabling SECU to act autonomously — requires OEM partnership
Autonomous SECU Dispatch Control 🎯 Phase 3 — est. Q1 2027 Operator-approved autonomous dispatch gates. Requires trust calibration data from Phase 2 pilot programme, telematics integration, and OEM API access
Structured Validation Pilot
60–90 day programme · Free for qualifying UK fleets · Clearly defined success metrics
60–90
Days
50+
Missions Required
<8%
Target Variance
Free
For Pilot Partners
Objective

Measure EcoDrive prediction accuracy against actual vehicle energy consumption across real UK fleet missions.

Hypothesis

Physics-based pre-dispatch model will exceed generic OEM range estimates by ≥15% in prediction accuracy.

Success Metric

Prediction variance <8% across 50+ missions. EcoDrive accuracy compared against actual kWh consumed (odometer + charge log data).

We Provide
  • Full platform access — all 6 modules
  • Onboarding & training (2 hours)
  • Weekly prediction accuracy reports
  • Final validation analysis document
  • Academic validation pathway (EBRI)
We Need From You
  • 5–20 EV vehicles participating
  • Odometer + charge log data (or OBD2 access)
  • UK-based fleet (any vehicle type)
  • 1 hour/month feedback call
  • Permission to use anonymised data in model training
Post-pilot agreement: Continued access offered if success metrics are met. No obligation, no sales pressure, no upfront cost. We are looking for fleet operators who want accurate energy prediction and are willing to share charge log data to prove it works.