Define the service demand before comparing cabinets

Station throughput starts with the fleet and rider schedule, not the number of cabinet slots. Identify the vehicles served, expected operating hours, route patterns, return windows and the periods when several riders may arrive together. A daily average can hide the short demand window that determines whether riders find a ready battery.

Write the service target in plain operational terms. For example, the operator may need to keep a defined number of compatible, charged packs available through the busiest period, while allowing returned packs to be checked and recharged safely. This gives suppliers a decision problem that can be tested rather than a request for a generic cabinet size.

Map arrivals, returns and ready-pack availability

Build a simple time-based map of expected arrivals, exchanges and returned batteries. Separate the batteries installed on vehicles, the packs waiting to charge, the packs that are ready for exchange and any packs unavailable for inspection or service. The important question is how the ready-pack pool changes during each operating period.

Record variation as well as the normal pattern. A fleet can have different demand on busy delivery days, after route changes or when multiple riders return at once. The initial plan should show which assumptions are measured and which still need a pilot or operating data.

  • Vehicle count and compatible battery types
  • Expected arrivals and exchanges by time period
  • Typical return state of charge and route pattern
  • Required ready-pack availability at busy times
  • Process for packs removed from service

Check charging opportunity and site input together

Returned packs need enough time and electrical capacity to reach the required state of charge before the next demand window. Review the site connection, existing building loads, protection arrangement and any limits on simultaneous charging. A cabinet selection should be checked against the whole site rather than treated as an isolated load.

Ask the supplier to state the applicable input requirement, compatible battery range, charging-control logic and any conditions that affect charging. The final electrical design and protection coordination should be completed by qualified local professionals under the applicable rules.

Size the battery pool as an operating system

The cabinet is only one part of the station. A workable battery pool includes packs on vehicles, charging packs, ready packs and a defined reserve for uneven demand, inspections and temporary unavailability. The correct balance depends on the actual schedule, not on a universal spare percentage.

Use the operating map to test a busy period. If ready-pack availability falls before returned packs can recharge, the operator may need a different battery-pool plan, more charging opportunity, a different service arrangement or a revised rollout schedule.

Design the exchange and exception workflow

Throughput also depends on what happens at the cabinet. Define the normal sequence for identification, return, battery health checks, authorization and collection. Then define who handles a failed return, an incompatible pack, a slot that cannot complete an exchange or a battery that needs inspection.

Keep rider access, service access and fault isolation practical for the selected location. A station that is technically connected but difficult to operate during a busy period can still create queues and missed routes.

Use a pilot and supplier brief before scaling

Before expanding, collect representative operating data from a controlled pilot or current fleet workflow. Track the arrival pattern, ready-pack availability, charging completion, exception events and site electrical load. Use the results to test the planned cabinet, battery pool and operating rules against real demand.

A useful supplier brief includes the compatible battery specification, fleet profile, time-based demand map, site electrical information, physical location, operating responsibilities and target rollout. Ask for assumptions and exclusions in writing so that cabinet options can be compared on the same operating basis.