How to Use the E-Bike Range Calculator

What the calculator models

The calculator predicts how far your e-bike can travel on a single charge using battery capacity, terrain, wind, speed, system weight, and ride assumptions.

Quick start

Use this five-step flow to get your first usable estimate fast.

• Enter your bike's battery capacity in Ah or Wh.
• Set your expected riding speed in km/h.
• Enter rider and bike weight.
• Optionally upload a GPX route for terrain-aware planning.
• Run the calculation and review the estimated distance.

The main calculator interface with the core planning inputs visible.

Speed slider

Average speed has an outsized impact on range because aerodynamic drag climbs quickly as pace increases.

Adjust speed and other basic ride assumptions before running the model.

Bike weight

Use the e-bike's weight without removable batteries. Include permanently attached hardware such as the frame, motor, and fixed accessories.

Enter bike and rider mass carefully because weight affects climbing and total demand.

Rider weight

Include clothing, gear, and anything you will actually carry on the ride so the model reflects real total system load.

Use realistic body plus gear weight rather than a simplified number.

Battery configuration

Configure one or more batteries and set capacity, voltage, weight, and whether each pack is built into the bike.

• Capacity in Ah
• Voltage such as 36V, 48V, or 52V
• Battery weight in kg
• Built-in vs removable pack status
• Parallel vs series charging mode

Model single or multi-battery setups and the charging strategy that matches them.

Start time

Departure time is used to estimate finish timing and becomes important once charging stops or route sequencing enter the plan.

Set the planned departure time before deeper route analysis.

Upload GPX route

Import routes from Strava, Komoot, Ride with GPS, or other mapping tools. The calculator extracts the route geometry and planning data automatically.

• Total distance
• Elevation profile
• Direction changes for wind modeling
• Segment data for deeper analysis

Drag and drop a route file to unlock terrain-aware planning.

Route visualization

Once loaded, the map and route surfaces help you inspect how distance, climbing, battery status, and stop planning evolve across the ride.

• Route path and terrain context
• Battery percentage along the route
• Charging stop positions
• Segment-by-segment energy demand

Use the map to understand where the route becomes demanding or charge-constrained.

Elevation profile

Climbs and descents drive major changes in battery use. The route profile helps you see why a short ride can still be very expensive energetically.

Elevation-aware planning is one of the biggest differences between a simple estimate and a useful route model.

Wind speed and direction

Set headwind, tailwind, or crosswind conditions to reflect the forecast and see how aerodynamic demand changes.

• Wind speed in km/h
• Compass-based wind direction

Model weather assumptions directly instead of leaving wind as an unknown.

Trailer configuration

If you tow a trailer, include its weight and dimensions so drag and total system mass stay realistic.

• Trailer weight
• Dog or cargo weight
• Length, width, and height

Trailer dimensions matter because they affect both drag and total ride load.

Solar power

If your setup includes solar charging, add panel output and cloud coverage so the calculator can estimate how much energy you recover during the ride.

• Panel output in watts
• Cloud coverage from 0-100%

Use solar assumptions for touring or trailer-based setups where panel area is available.

Pedaling time and motor power

Use these inputs to tell the model how much human contribution and peak motor support the ride is likely to involve.

• Pedaling contribution from 0-100%
• Maximum motor power based on your system

Adjust ride style assumptions when you want the result to reflect a specific pacing strategy.

Estimated range

The overview gives the headline route outcome and the core metrics you need to judge whether the ride works.

• Total route distance
• Elevation gain
• Estimated ride range
• Average Wh/km
• Finish time

Start with the overview before drilling into any individual graph or route surface.

Energy breakdown

Use the breakdown to see what proportion of battery demand comes from rolling resistance, drag, climbing, acceleration, and system losses.

This view helps explain not just how much energy was used, but why it was used.

Trip timeline

The timeline translates the route into a ride plan, including progression, battery state, and likely rest or charging moments.

• Arrival timing by segment
• Battery percentage through the route
• Rest suggestions
• Charging opportunities

Use the timeline when you need the ride to work as a schedule, not just as a distance estimate.

Charging stops planning

If the route exceeds practical battery limits, the calculator helps surface where charging is required and how long it should take.

• Distance to critical battery level
• Recommended charge points
• Charge duration
• Updated post-charge timing

Charging stops turn a long route into a realistic plan instead of an optimistic guess.

Efficiency metrics

Use the efficiency layer to compare route quality, battery consumption density, and how close the ride is to ideal conditions.

• Wh/km consumption
• Efficiency percentage
• Range per battery capacity
• Comparison to ideal assumptions

These metrics are useful when comparing setups, routes, or riding styles.

Detailed graphs

The graph suite helps you inspect power, battery state, speed efficiency, and route behavior over time rather than only at the summary level.

• Power consumption over time
• Battery timeline
• Speed vs efficiency views
• Comparative route analysis

Use graphs to inspect exactly where demand changes across the route.

Segment-by-segment analysis

Route segments can be inspected individually so you can identify expensive climbs, inefficient transitions, or areas where setup changes would matter most.

This is the best surface for isolating route hotspots rather than thinking about the ride as one average number.

Route insights

Use route-level recommendations to find opportunities around speed choice, energy-saving tactics, and weather-aware optimization.

Insights turn the raw analytics into actions you can actually take before the ride.

Export and reports

Export the analysis when you need an offline reference, shareable data, or a cleaner planning artifact for longer rides.

• PDF reports
• CSV exports
• Timeline export
• Shareable analysis links

Reports are useful when route planning extends beyond a quick one-page review.

Getting accurate results

These habits make the model much more trustworthy.

• Upload a GPX route whenever possible.
• Use realistic rider, bike, and cargo weights.
• Set wind based on the actual forecast.
• Use the real battery specification, not a rough guess.
• Account for battery aging on older packs.

Maximizing range

If you need more distance, these levers are usually the first ones to move.

• Ride at moderate speeds around 20-25 km/h.
• Use lower assist when practical.
• Pedal actively to reduce motor load.
• Choose routes with fewer steep climbs.
• Take advantage of tailwind where possible.
• Carry only what you need.

Planning long rides

Long routes become easier when the plan includes margins and stops from the start.

• Use the trip timeline for stop planning.
• Identify charging options before departure.
• Carry extra batteries if your system allows it.
• Leave a 20-30% safety margin versus the headline result.
• Check weather and wind assumptions before the ride.
• Consider solar only when the setup truly supports it.

Interpreting results

Use the outputs as a high-quality planning model, not as a perfect guarantee.

• Treat real conditions as variable even when the model is strong.
• Use the energy breakdown to see what is limiting the route.
• Compare different route options with identical assumptions.
• Save useful configurations for repeat planning.