DeCharge Network Model

The DeCharge Network operates as a decentralized, incentive-aligned network of EV chargers coordinated through a unified backend infrastructure. This model breaks away from centralized utility monopolies and enables a globally distributed grid where individuals, businesses, and communities contribute nodes and share in the value they create.

This section explains the core architecture of the DeCharge network as a living, expanding system - one that responds to real-world demand, optimizes energy distribution, and fairly rewards contributors based on usage and performance.

The Architecture

At its core, DeCharge is modeled as a "distributed Network", where each charger functions as an autonomous yet as an energy node. Unlike legacy charging systems that rely on a few centralized stations, DeCharge’s model emphasizes:

• Decentralized growth: Each new device can be independently deployed by anyone.

• Localized access: Chargers appear where people live, park, and operate - not just highways or malls.

• Redundant coverage: No single node failure disrupts the broader network.

• Super-linear utility: Each new charger increases value for nearby ones by reducing congestion and wait times.

This is akin to how Wi-Fi hotspots proliferated organically, through homes, shops, and campuses, creating an invisible but ubiquitous web of connectivity. DeCharge applies the same principle to the flow of electricity.

Network Participants

The DeCharge network is built by its participants. Each plays a distinct role:

Role	Description
Hosts	Provide physical space and grid power for chargers
Investors	Finance devices or participate in delegated deployment pools
Installers	Handle on-ground setup, cabling, compliance, and commissioning
Fleet/Commercial Users	Use chargers for consistent energy access; may co-own devices
DeCharge Ops	Monitors uptime, provides backend services, and facilitates onboarding

By separating these roles, DeCharge allows flexible ownership and participation models, a person with no land can still contribute, just as a landowner can earn without capital investment.

Types of Network Nodes

Each DeCharge device functions as a network node, streaming real-time data and participating in coordinated infrastructure logic.

Node Type	Description
Mini	Low-power AC chargers (3.3 kW), ideal for homes, 2W/3W vehicles
Beast	Mid-power AC chargers (7.4 kW), for cars and commercial parking
Titan Mini	Medium-power DC chargers (30 kW), for fleets, urban logistics, or city highways
Titan	High-power DC chargers (60 kW), deployed in logistics hubs or national highways

Each charger connects to the DeCharge backend through secure OCPP channels, transmitting telemetry that powers the reward engine, remote maintenance workflows, and demand analytics.

Smart Coordination Engine

The Coordination Layer is the network’s brain. It ensures:

• Every charger is uniquely identified and mapped to a user.

• Performance data is collected and evaluated per epoch (60 hours).

• Inactive or low-performing chargers are flagged.

• Deployment maps highlight areas of unmet demand.

• Participants are rewarded based on live energy throughput and availability.

This layer uses real-time inputs from every active charger to shape how the network grows. For example:

• If demand increases in a specific region, new delegations are directed there.

• If a charger shows low uptime or high error rates, it may be temporarily excluded from rewards.

Geo-Mapping and Demand Forecasting

To prioritize infrastructure where it’s needed most, DeCharge maintains an internal global demand map that overlays:

• EV registration density (by city or district)

• Usage data from deployed devices

• Road networks and traffic patterns

• Population clusters underserved by legacy infra

• Accessibility to grid and internet

This dynamic map is used to:

• Route delegated deployments to high-potential zones

• Recommend locations to self-hosting buyers

• Guide installers for route optimization

• Identify overlaps or redundant installations

As more devices join, this map becomes more precise, creating a positive feedback loop between data and deployment quality.

Performance = Network Trust

DeCharge’s network does not rely on contracts or manual reporting. Instead, trust is encoded in performance.

Every device is expected to:

• Stay online for at least 80% of each epoch

• Dispense a measurable amount of energy

• Maintain hardware health (temperature, voltage)

• Transmit accurate metering logs

• Respond to remote commands

When this is achieved, devices are rewarded. When it isn’t, penalties apply automatically such as reduction in points, flagging for ops inspection, or reward lockouts.

This self-auditing architecture ensures that the network cannot be gamed and remains efficient as it scales.

Economic Layer and Incentives

Though the reward mechanics are covered in depth in [Section 13: Reward Engine], here’s how incentives support the network model:

• Hosts earn proportional to their charger’s real-world use.

• Delegated buyers earn passively, minus DeCharge’s operating cut.

• Top performers (early deployment, high uptime) receive cohort bonuses.

• Poor performers are penalized automatically incentivizing quality, not quantity.

This ensures that device count alone doesn’t determine earnings - active contribution does.

Example Flow: A Delegated Deployment

1. Alice purchases 3 Beast units via delegated pack.

2. DeCharge matches them to pre-qualified demand zones (e.g., Pune suburbs).

3. Verified installers set up the devices and submit site reports.

4. Devices begin streaming data to the DeCharge backend.

5. Energy sessions are logged; rewards accrue to Alice.

6. Alice tracks earnings via dashboard.

This hands-off model makes it easy for users worldwide to participate, even without physical access to a site.

Why This Model Scales

The DeCharge network model is designed for exponential growth:

• Each participant lowers the cost of infrastructure expansion.

• Each device increases convenience and rewards for all others.

• Every underutilized space becomes a potential energy node.

• Telemetry replaces manual operations or trust-based systems.

• The backend orchestrates growth based on live, real-world data.

The result is an ecosystem where growth compounds not just in number of chargers, but in utilization, convenience, and ecosystem value.