DsecOS Enterprise
Autonomous EV Fleet Charging & Grid Optimization Platform
Charge Ahead. Sustainably. Securely.
Smart Energy
Smarter Fleet
Sovereign Grid
V2G Ready
2
Platform Overview
A real-time, AI-driven electric vehicle (EV) fleet charging orchestration platform that optimizes energy usage, reduces grid strain, and ensures cyber-physical security across thousands of charging stations. It integrates vehicle-to-grid (V2G), demand response, and predictive maintenance — all within a sovereign, zero-trust infrastructure.
Concurrent Chargers
50,000+
Sub-second coordination
Peak Load Reduction
38%
Via AI load shifting
V2G Revenue
£2.1M
Per 1,000 vehicles/year
Uptime
99.999%
Mission-critical ops
Business Value
- Cut Charging Costs by 42%: Through off-peak + solar integration
- Generate £1.8M+ in Ancillary Services: Frequency regulation
- Achieve 99.999% Uptime: For mission-critical fleet operations
- Comply with UK Smart Metering, EU RED III, and NIS2: Out-of-box
⚡ Built For: National energy operators, fleet logistics companies, and smart cities
3
Technical Foundation
| Component |
Role |
Security & Efficiency |
| OCPP 2.0 Gateway |
Charger communication |
TLS 1.3 + mutual auth |
| V2G Controller |
Bidirectional power flow |
HSM-signed commands |
| Grid Optimizer AI |
Load balancing + DR |
On-prem ML, no cloud |
| Digital Twin |
Substation simulation |
Real-time state estimation |
| Audit Chain |
Immutable energy logs |
WORM + blockchain anchor |
Platform Security
- Real-Time Kernel: PREEMPT_RT + deterministic scheduling
- Edge Isolation: Per-substation LXC with charger_t SELinux domain
- V2G Crypto: OCPI 2.2 + ISO 15118 with HSM-backed PKI
- AI Forecasting: 15-minute load prediction with 97.3% accuracy
4
Energy Orchestration Architecture
7-Node Hybrid Configuration (Data Center + Edge Substations)
graph TD
subgraph "DsecOS Energy Orchestration Cluster (7 Nodes)"
N1[DsecOS Node 1
Control Plane + HSM]
N2[DsecOS Node 2
OCPP Gateway]
N3[DsecOS Node 3
V2G Controller]
N4[DsecOS Node 4
AI Optimizer GPU]
N5[DsecOS Node 5
Digital Twin]
N6[DsecOS Node 6
Ceph OSD + WORM]
N7[DsecOS Node 7
Edge Substation Link]
end
subgraph "EV Charging Network"
CHG["50,000+ Chargers
(OCPP 2.0)"]
FLEET["EV Fleet
(V2G-Enabled)"]
GRID["National Grid
(DSO/TSO)"]
end
subgraph "Intelligence & Compliance"
AI["Grid Optimizer AI
(15-min Forecast)"]
TWIN["Digital Twin
(Substation Model)"]
AUDIT["Energy Audit Chain
(WORM + Anchor)"]
LIC[License Server
Energy Edition]
end
N1 <-->|Corosync HA
Encrypted| N2
N2 <--> N3
N3 <--> N4
N4 <--> N5
N5 <--> N6
N6 <--> N7
N1 --> CEPH[Ceph Sovereign Pool
WORM + Encrypted]
CHG --> N2
FLEET --> N3
GRID --> N4
AI --> N4
TWIN --> N5
AUDIT --> N6
style N1 fill:#121212,stroke:#32CD32,color:#FFF
style AI fill:#1E1E1E,stroke:#32CD32,color:#FFF
style AUDIT fill:#8B0000,color:#FFF
5
Peak Load Mitigation Flow
journey
title EV Charging Grid Optimization Flow
section Forecast
Ingest Weather + Traffic: 5: Real-Time
AI Predicts 18:00 Peak: 5: 97.3% Accuracy
Pre-Shift 12,000 Sessions: 4: Auto-SMS
section Orchestrate
V2G Discharge 800 Vehicles: 5: HSM-Signed
Delay Non-Critical Charge: 5: OCPP Set
Balance 3 Substations: 4: Digital Twin
section Monetize
Sell 2.1 MW to Grid: 5: Ancillary Market
Credit Fleet £1,800: 5: Auto-Payout
Log Immutable Transaction: 5: WORM
section Comply
Generate RED III Report: 5: One-Click
Audit V2G Session: 4: Forensic Replay
Certify Carbon Savings: 5: Blockchain Anchor
6
Deployment Requirements
⚡ Prerequisites: DsecOS Enterprise Energy Edition license, 7x servers (128 GB RAM, 16-core CPU, 8 TB NVMe, HSM-ready), 4G/5G + fiber network
Step 1: Provision Energy Cluster
/scripts/pxe-deploy.sh --cluster ev-grid --nodes 7 --energy-mode --v2g-hsm --realtime
Step 2: Deploy Charging Stack
Create /templates/stacks/ev-orchestration.yml:
version: '3.8'
services:
ocpp-gateway:
image: dsecos/ocpp2:latest
ports:
- "8080:8080"
environment:
- TLS_ENABLED=true
- AUTH_HSM=/dev/hsm0
v2g-controller:
image: dsecos/v2g-iso15118:latest
devices:
- /dev/hsm0
command: --mode bidirectional --market gb-ancillary
ai-optimizer:
image: dsecos/energy-ai:latest
deploy:
resources:
reservations:
devices:
- driver: nvidia
capabilities: [gpu]
command: forecast --horizon 15 --accuracy 0.973
digital-twin:
image: dsecos/twin-substation:latest
command: simulate --substations 3 --realtime
audit-chain:
image: dsecos/energy-audit:latest
volumes:
- ceph-worm:/audit
command: --worm --anchor ethereum-mainnet
volumes:
ceph-worm:
driver: cephfs
driver_opts:
worm: true
Deploy Command
dsecos deploy ev-orchestration
7
Test V2G Cycle
# Simulate 800 EVs discharging
curl -X POST https://node1:9443/api/v2g/discharge \
-H "Authorization: Bearer $JWT" \
-d '{"vehicles": 800, "power_kw": 6, "duration_min": 15}'
Results
- Grid Receives: 4.8 MW in <3 seconds
- Compliance: Auto-generates EU-compliant carbon savings certificate
- Revenue: Fleet credited automatically via smart contract
8
Security & Sustainability
Grid Protection
AI
Prevents cascade failures
Crypto Sovereignty
HSM
All V2G commands signed
Compliance
RED III
UK, EU, NIS2 CNI
Carbon Saved
1,840
tCO₂e/year
Compliance Standards
- UK Smart Metering: Energy data management
- EU RED III: Renewable Energy Directive
- NIS2 CNI: Critical National Infrastructure protection
9
Performance & Impact Metrics
| Metric |
Value |
| Chargers Managed |
52,100+ |
| Peak Load Reduction |
38.4% |
| V2G Revenue (1,000 EVs) |
£2.11M/year |
| Carbon Saved |
1,840 tCO₂e/year |
10
Return on Investment
Logistics Fleet Example (5,000 EVs)
| Category |
Current Costs |
With DsecOS |
Net Savings |
| Annual Operating Costs |
£9,200,000 |
£4,100,000 |
£5,100,000 |
| V2G Revenue |
£0 |
£1,800,000 |
+£1,800,000 |
| Total Net Savings |
£9,200,000 |
£2,300,000 |
£6,900,000 |
Total Annual Net Savings
£6,900,000+
Plus greener operations
Where Energy Meets Intelligence
"Smart Energy. Smarter Fleet. Sovereign Grid."
V2G READY
AI OPTIMIZED
CNI CERTIFIED
CARBON NEUTRAL
DsecOS Enterprise Energy Edition