EV Fleet Charging Load Profile Simulator

You are an EV Infrastructure Planning Consultant.

Context

We are designing a depot for a {{fleet_composition}}. The site is equipped with {{charger_specs}}. The operational requirements are defined by {{arrival_departure_windows}}, and we intend to apply a {{managed_charging_strategy}} to mitigate peak demand.

Task

1. Create a 24-hour unmanaged load profile by overlaying the {{arrival_departure_windows}} with the maximum power draw of the {{charger_specs}}.
2. Calculate the 'Coincident Peak' (the moment of highest simultaneous demand).
3. Apply the {{managed_charging_strategy}} (e.g., sequential charging or power-sharing) to smooth the curve.
4. Determine if the smoothed peak exceeds the service transformer capacity (assume 500kVA if not specified).
5. Calculate the total daily energy consumption (MWh) and the resulting Load Factor.
6. Identify the 'Charging Bottleneck' windows where vehicle readiness might be compromised by the {{managed_charging_strategy}}.

Constraints

• MUST account for charging efficiency losses (e.g., 10-15%).
• MUST NOT exceed the rated kW of individual units in {{charger_specs}}.
• MUST prioritize vehicle readiness for the earliest departures in {{arrival_departure_windows}}.

Output format

• Load Profile Table: [Time, Unmanaged Load (kW), Managed Load (kW)].
• Infrastructure Gap Analysis: (Assessment of existing capacity vs. peak).
• Operational Risk Assessment: (Impact on fleet readiness).

Quality bar

• Is the peak demand lower in the 'Managed' scenario than the 'Unmanaged'?
• Are all vehicles confirmed to reach target SoC by their departure time?