Busan → Goyang
Latest grid data on this route
- 368 g/kWh
- 13% renewable
- 21°C · normal
- 368 g/kWh
- 13% renewable
- 12°C · normal
Grid: Ember Climate · Weather: open-meteo.com
Range by Weather Condition
In normal weather 24 of 24 EV models complete this route. Estimated charging stops among them: 0 to 3 (median 1).
Select a vehicle above to explore weather-adjusted range.
Assumptions behind these numbers
- Model assumptionStart charge 100%, arrive with 15% in reserve, charge up to 80% at each stop.
- Model assumptionUsable battery: 100% of each vehicle's listed capacity (the listed capacity may be gross or net; no correction is applied).
- Model assumptionSpeed: consumption starts from each vehicle's listed real-world efficiency, times a speed factor of 1.00 (1.00 = no speed adjustment).
- Vehicle dataWeather: each vehicle uses its own hot, normal and cold factor from our vehicle data, so consumption = efficiency x 1.00 / factor. Hot is 25 °C and above, normal is 10-25 °C, cold is below 10 °C.
- Model assumptionCharging speed: average power = min(vehicle peak kW, 150 kW cap) x 0.60 taper, plus 5 min per stop.
- MethodRange, energy and cost all use the same consumption figure. Energy is measured at the battery; charging losses are not included.
- MethodCharging stops are estimated from range and the charging window. They are not verified charging stations.
- Market dataCost: not shown, because no electricity market price is available for South Korea.
- Market dataCO2: energy x grid average carbon intensity of 368 g/kWh (South Korea, Ember Climate, Monthly average, April 2026, older than 45 days, last available value).
More EV Routes in South Korea
See all South Korea routes →Route analysis
Driving from Busan to Goyang, a 419-kilometer route across South Korea, takes approximately 307 minutes of drive time. The route is not cross-border, and both cities operate in a normal climate, meaning EV drivers can expect standard range performance without cold-weather battery degradation. For a typical EV, a single charging stop may be sufficient, though drivers of shorter-range models can rely on the dense station network to plan intermediate breaks. The flat, urbanized terrain of the route further supports efficient energy consumption, and the absence of extreme climate conditions ensures predictable range calculations.