Expected to be released next year: Details of Huawei, NINGDE Times, and Chang'an's Avita 11 cooperation are announced

IT Home News on December 31, this year, Changan Automobile joined hands with Huawei and Ningde Times to create a new high-end brand - Avita Technology, and showed the first model of the cooperation, Avita 11, in November.

Avita has now officially released more details of its huawei HI full-stack smart car solution. The new car is positioned as a pure electric coupe SUV, which is expected to be released in the second quarter of next year and achieve the first mass production and user delivery in the third quarter. IT Home learned that the first body-in-white body of Avita 11 has officially rolled off the production line at the Chongqing factory.

It is said that Avita 11 adopts a new generation of intelligent electric vehicle technology platform CHN, Huawei provides it with a two-level cooperation model including five modules, including Huawei Hongmeng smart cockpit, but also the first high-end SEV brand equipped with Huawei HI, plus the battery technology parameters of the Ningde era can not be described as luxurious.

Officially, Avita 11 accelerates from 0 to 100 km/h in just 4 seconds, is equipped with a 200KW high-voltage charging system, equipped with a 400TOPS hashrate intelligent driving chip, and the shape is designed by Avita's German team.

According to reports, Avita assisted driving also uses the scheme of lidar + high-precision map. Avita has 3 lidars + 6 mmWave radars + 12 ultrasonic radars + 13 cameras:

3 lidars: 150m long-range detection, 300 degrees coverage;

6 millimeter wave radar: long-range detection 210m, medium and long-distance coverage 360 degrees;

12 ultrasonic radars: detection distance 5m, front and rear bumpers full coverage;

13 cameras: 150m long-range detection with 360 degree coverage.

With a high-definition map, it can complete more light change scenes such as night, low light, backlight, and alternating light and dark in tunnels. In addition, the car can also be sensitive to lane recognition, traffic light changes, pedestrian distance, static obstacles, low and small objects and other difficult scenes.