Fleet energy and distributed compute infrastructure. Vehicles create transport value while driving — and become dispatchable energy and compute assets while parked. Depots evolve from charging sites into high-value infrastructure nodes.
TCDC is a modular infrastructure platform that unifies grid, solar, stationary storage, chargers, vehicle batteries, on-board AI, and depot micro data centers under one control plane.
| Dimension | Phase 1 · Fleet Energy & Charging | Phase 2 · Energy & Compute Operations |
|---|---|---|
| Near-term goal | Charge on time, on demand, at low cost | Parked vehicles become dispatchable dual-resource nodes |
| Core assets | Grid / solar, stationary BESS, PCS, chargers, EMS | Vehicle batteries, on-board AI, bidirectional charging, BESS, micro data center, cloud |
| Customer results | High-power charging, peak shaving, weak-grid resilience, solar synergy | Energy services, edge inference, data processing, fleet optimization, distributed compute value |
| Business form | Equipment & integration, Charging-as-a-Service, EMS software | Storage / grid services, AI compute, software subscription, autonomous-fleet services |
Stationary storage buffers charging peaks; TCDC EMS turns the fleet plan into an executable power plan. The goal is not "more chargers" — it is making sure vehicles that must depart get their energy first, inside limited grid capacity and time windows.
Figure 1 | Phase 1 energy closed loop: storage buffers power; TCDC EMS handles forecasting, scheduling, constraints, and closed-loop control. Capacity and topology are decided by site survey and utility interconnection studies.
No solar space; capacity and peak problems solved fast. Grid + BESS + high-power charging + EMS: peak shaving, power buffering, departure assurance.
Roofs, canopies, or land with good solar. PV + BESS + charging + EMS: green self-consumption, long-term energy cost, low-carbon operations.
Remote corridors, ports, mines, temporary depots. Sources + BESS + microgrid control + backup: resilience, off-grid capability, continuity.
| KPI group | Core metrics | Verified against |
|---|---|---|
| Fleet operations | On-time departure rate, target-SOC achievement, charging success | Schedules, charge records, departure events |
| Energy cost | Site peak demand, peak-to-valley shifting, cost per kWh charged | Baseline utility bills and metering |
| System performance | BESS / charger availability, alarm recovery, dispatch response | EMS logs, telemetry, work orders |
| Asset health | Cycle depth, temperature, SOH trends | BMS / vehicle data and life models |
| Green energy | PV self-consumption, renewable share, curtailment | Segmented PV / storage / charging metering |
A commercial vehicle works ≈8 hours and parks ≈16 hours a day. Phase 2 turns parked time into infrastructure time — dispatching only the elastic capacity left inside departure-SOC, battery-life, thermal, warranty, and safety boundaries.
Figure 2 | Phase 2 dual-resource architecture: vehicles are elastic nodes; stationary BESS and the micro data center are stable nodes; TCDC orchestrates. Safety-critical driving domains stay isolated from general compute; workloads degrade or abort automatically on faults, thermal excursions, or dispatch pre-emption.
A non-negotiable ordering — energy and compute dispatch never compromises departures, safety, battery life, OEM warranty, or interconnection terms.
One measurable single-site pilot validating three value pools at once: energy, fleet operations, and compute.
Does TCDC cut peaks and bills without hurting departures? Peak reduction, cost per kWh, backup duration, dispatchable capacity.
Does unified dispatch improve vehicles, charging, and batteries? On-time departures, charge success, recovery, SOH / cycle depth.
Do local GPUs and vehicle edge tasks yield stable, meterable value? GPU utilization, task success, value per kWh, latency.
Planning math: 50–60 vehicles × 600 kWh × 15–25 % ≈ 4.5–9.0 MWh theoretical elastic energy — before deducting disconnected vehicles, SOC floors, conversion efficiency, power limits, reserves, and life derating. Not a capacity commitment. Reference parameters from the Robostreet Distributed AI Compute Network simplified business plan. RoboStreet participates in the NVIDIA DRIVE AGX SDK Developer Program; TCDC can interface with DRIVE OS, DriveWorks, CUDA, and TensorRT pipelines.
| Milestone | Main work | Gate to next stage |
|---|---|---|
| A · Site diagnosis | Load, fleet duty cycles, tariffs, interconnection, solar, reliability analysis | Baseline, capacity plan, and business case established |
| B · Phase 1 pilot | Deploy BESS + charging + TCDC EMS; build the vehicle-energy data loop | Departure, cost, and availability KPIs met |
| C · Fleet optimization | Add route energy, SOH, predictive maintenance, cross-shift scheduling | Data quality, APIs, security, and ops stable |
| D · Dual-resource trials | Small-scale V2B / V2G, vehicle edge tasks, 250 kW-class micro data center | OEM / interconnection / safety approvals; three value pools proven |
| E · Networked operations | Connect multiple depots; aggregate energy capacity and AI workloads | Unified settlement, orchestration, SLAs, cross-site operations |
Storage, charging, distribution, solar / microgrid, and software designed and delivered as one system.
Settled by capacity, energy delivered, service fees, or shared savings — plus per-site / per-vehicle subscriptions.
Demand response, peak management, reserves — and metered micro-data-center AI compute for fleets.
Pick a demonstration depot → import load and fleet data → get your capacity and business case.