How to Plan a Long-Distance EV Route with OpenClaw
Plan a Long-Distance EV Route with OpenClaw and ToolRouter. Batch route plans for fleet vehicles and automate charging stop scheduling.
Tool
OpenClaw lets you run route planning with charging stops across multiple vehicles or routes in a batch job — scheduling charging windows for a fleet, generating trip plans for multiple drivers, or comparing routes with different charging strategies. This is the right approach for fleet operations rather than individual trip planning.
Connect ToolRouter to OpenClaw
1Install the CLI
npm install -g toolrouter-mcp2Call tools directly from OpenClaw
toolrouter-mcp call web-search search --query "AI tools"
toolrouter-mcp toolsSteps
Once connected (see setup above), use the EV Chargers tool:
- List all routes to plan — origin, destination, vehicle range, and connector type for each.
- Run `route_chargers` for each route via `ev-chargers` and collect stop plans in a normalized schema.
- Identify routes with charging windows that conflict with delivery or arrival deadlines.
- Generate a fleet charging schedule with each vehicle's stops and estimated charge durations.
Example Prompt
Try this with OpenClaw using the EV Chargers tool
Use ev-chargers to plan charging stops for these fleet routes: (1) London to Edinburgh, CCS, 250-mile range, depart 7am; (2) London to Manchester, CCS, 250-mile range, depart 9am; (3) Bristol to Edinburgh, CCS, 250-mile range, depart 6am. Return each with stops, charge_durations, and total_trip_time_mins in a stable schema.
Tips
- Compare total_trip_time_mins across routes to identify which vehicles need to depart earliest to meet delivery windows.
- Look for charging stop conflicts — two vehicles stopping at the same station simultaneously may cause availability issues.
- Keep the schema fixed so trip plans from different days can be compared to track route efficiency.