Shanghai → Nanjing
Latest grid data on this route
- 440 g/kWh
- 42% renewable
- 22°C · normal
- 440 g/kWh
- 42% renewable
- 17°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 2 (median 0).
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 China.
- Market dataCO2: energy x grid average carbon intensity of 440 g/kWh (China, Ember Climate, Monthly average, May 2026, older than 45 days, last available value).
More EV Routes in China
See all China routes →Route analysis
The 299-kilometer route from Shanghai to Nanjing in China presents a straightforward journey for EV drivers, with a drive duration of 202 minutes. The route is not cross-border, and both cities experience a normal climate, meaning no significant range reduction from temperature extremes is expected. Given the relatively short distance, most modern EVs can complete this trip on a single charge, but the abundance of stations allows for flexible mid-route top-ups if needed. The terrain is typical for this region, likely flat or gently rolling, which supports efficient energy consumption. Practical implications for EV drivers include minimal planning for charging stops, as the infrastructure density ensures reliable access to power, making this route highly accessible for electric travel.