Optimization Details

The Energy Management Portal uses intelligent optimization to minimize charging costs while meeting energy targets and respecting electrical constraints.

How Optimization Works

When a charging session starts with a Price Optimize intent, the system:

1. Collects inputs

   • Electricity spot prices for the charging period
   • Departure time and energy targets
   • Current vehicle SoC (if available)
   • Fuse limits and power constraints

2. Runs the optimizer

   • Calculates the optimal charging schedule
   • Balances cost minimization against delivery certainty
   • Respects all electrical constraints

3. Executes the schedule

   • Sends power setpoints to EVSEs
   • Continuously monitors and adjusts
   • Re-optimizes when conditions change

Charge Intent Types

Charge Now

Delivers energy as fast as possible within current and power constraints.

• No price optimization
• Charges at maximum available power
• Best for urgent charging needs

Price Optimize

Shifts charging to low-price periods while meeting targets.

Required inputs:

• Departure time - When the vehicle must be ready
• Target - Either SoC (%) or energy amount (kWh)

Optional inputs:

• Vehicle battery capacity - Enables accurate SoC calculations
• Current SoC - Starting point for optimization

Optimization Targets

Target SoC (%)

Charge until the vehicle reaches a specific state of charge.

• Requires known battery capacity
• System calculates required energy: (target_soc - current_soc) × battery_capacity

Target kWh

Deliver a specific amount of energy.

• Does not require battery capacity
• Useful when SoC is unknown or unreliable

Combined Targets

You can set both targets. The system will:

• Deliver at least the target kWh
• Continue charging until target SoC is reached (if battery capacity is known)

Scheduled Overrides

Override the default intent for specific time windows.

Example use cases:

Load Management

The optimizer respects electrical constraints at every level of the node hierarchy.

Fuse Protection

Each node has a fuse limit (in Ampere). The system ensures:

• Total current through a node never exceeds its current limit
• Parent node limits are respected by all child nodes
• Safety margins are maintained

Power Distribution

When multiple EVSEs compete for limited capacity:

1. Active sessions are prioritized by departure time
2. Power is distributed to meet the most urgent targets first
3. Remaining capacity is allocated based on optimization value

Re-Optimization

The system continuously monitors and re-optimizes when:

• Prices update - New spot prices become available
• Vehicle connects/disconnects - Available capacity changes
• SoC updates - Actual vehicle state differs from prediction
• Constraints change - Node limits or EVSE availability changes

Re-optimization ensures the schedule remains optimal as conditions evolve.