Dajiang Appears First eVTOL: Pure Electric Power, Up to 8861 m Mount Everest

days ago, Dajiang unveiled its first vertical take-off and landing unmanned aerial vehicle DJI EV50 for the first time, and disclosed its latest progress in the extremely high altitude scientific research and material transportation of Mount Everest.

Dajiang said in an interview that the new model focuses on real freight transportation and complex scene operations, with a maximum load of 50kg and an empty maximum range of 150km. In the "Peak Mission" mission of the Chinese scientific research team from April to May this year, the DJI EV50 completed a total of 32 take-offs and landings on the northern slope of Mount Everest, reaching an altitude of 8861 meters. This marks the first time that the Chinese scientific expedition team has completed fine observations of atmospheric pollutants in the troposphere at extremely high altitudes with the help of drones.

on whether DJI will cut into low-altitude logistics operation services through fixed routes like civil airliners in the future, DJI said: "DJI's own positioning is to provide a soft and hard integrated solution for air transportation. In short, we are good at making drones and making the best of our equipment. But from the perspective of logistics operations, this is not what DJI is good."

Dajiang will not cut into a specific industry to seize the ecological role, but through cooperation with logistics enterprises or scientific research institutes, find out the pain points of the scene, reduce the entry threshold of the whole unmanned aerial vehicle logistics, so that logistics enterprises can use unmanned aerial vehicles at a lower cost.

, in response to the question of "whether manned eVTOL will be launched", Xinjiang said at the exchange meeting that it had no plan for the time being. The core reason lies in the comprehensive consideration of technical reliability and the general environment. At present, Dajiang's transportation business is still in the initial stage of high speed. At this stage, the focus is to use the data of real scenes to explore how to make cargo transportation absolutely safe, stable and long endurance. Compared with the load, the safety requirements of manned increase exponentially, need to be more careful.