EV Battery Swap Queue Calculator

EV Battery Swap Queue Calculator MCP Connector for Claude

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Estimate battery swap wait times and vehicle safety margins.

3 tools Official Updated Oct 1, 2026 Official Vinkius Partner

This MCP server provides deterministic tools for managing EV battery swap station logistics. It allows AI agents to calculate expected wait times using estimate_swap_queue, assess if a vehicle can safely reach a station with calculate_range_safety, and monitor station throughput with get_station_status. It is designed for high-efficiency battery swap ecosystems like those used by NIO.

evbattery-swapniologisticsenergy-management

3 tools expose this connector's capabilities to your AI agent.

calculate_range_safety

Determines if a vehicle can safely reach the station and complete the swap based on its current battery state and vehicle efficiency

get_station_status

Provides a high-level overview of station capacity and current throughput efficiency

estimate_swap_queue

Calculates the expected wait time and total service time for a vehicle entering a specific station queue

See how to talk to your AI agent using EV Battery Swap Queue Calculator.

How long will I wait at a station with 5 cars in line, 3 swap bays, and a 5-minute swap time?

The estimated wait time is 8.33 minutes, and the total service time is 13.33 minutes.

I have 15% battery left. My car gets 6km per 1% battery. Will I safely reach the station if the wait is 10 minutes?

Yes, you can safely proceed. Your range buffer is 90km, which is sufficient for the wait.

What is the hourly capacity of a station with 4 bays and a 4-minute swap time?

The station has a throughput of 60 vehicles per hour, with a bay turnover rate of 0.167 bays per minute.

The wait time is calculated by dividing the current queue length by the number of available swap bays, then multiplying by the average swap time.

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