The Beijing car exhibition was postponed, but it did not affect the release of the ideal L9 to play a flower life - this wave of L9 showed a lot of content through the official spoiler mode.
I want to do some sorting out the two contents of cockpit and automatic driving. Of course, after writing, I want to spend some time to find some information to take the entire EE architecture out of the individual to see, in fact, the current software and hardware are around the core to do, mainly the software level of the function to open, which is not difficult for the management level of the new force, so it is not a big deal.
Part 1
Iteration of the cockpit
Ideal still plays very clearly in the cockpit field: at the beginning, the ideal One 2020 took the big screen as the selling point, with Linux and Android systems, this momentum suppressed many consumers.
Figure 1: Three screens of the ideal One
The large screen has requirements for the response speed and characteristics of the system, but from TI's Jacinto to horizon products, there is little difference in the upgrade of the overall cockpit, and Qualcomm's 820A still determines the overall final experience effect.
Figure 2: The chip iteration of the ideal One 2020-2021
The screen in the ideal L9 cockpit includes the vehicle center control screen, the co-pilot entertainment screen, and the rear cabin entertainment screen (these three are 15.7-inch OLED screens). Compared with the previous abandonment of the dashboard (this HUD effect is good) and the car control screen (this thing is not useful), driving information will be obtained through the HUD and the central control screen. The cockpit domain controller uses two Qualcomm Snapdragon 8155 chips (24GB of memory and 256GB of high-speed storage) to form a computing platform, supporting the switching of dual 5G operators. For voice interaction, the voice interaction ability is improved by six microphones, and gesture recognition is performed through a 3DToF sensor.
Ceiling screen this thing has just been done by BMW before, and generally used for the configuration of MPV, a bit of a plane to watch a movie feeling, this screen deepens the image of "Daddy Car", but also a little business use in it.
▲Figure 3:Cockpit of the ideal L9
It is worth mentioning that this central domain controller, using NXP's latest S32G vehicle specification chip (should be G2), is developed by the ideal software and hardware, and according to the current situation, it integrates the functions of the VCU (for the extended range power system, air conditioning system, chassis system and seat control system) and other functions to achieve full self-development, of course, this estimate can also be used as a gateway.
Note: The related functions of three electricity and charging have not been incorporated.
Figure 4: Ideal central domain controller
Part 2
Iterations of autonomous driving
The automatic driving assist function is also the first three new forces to compete. The previous order was Xiaopeng, Weilai and Ideal, so the ideal of expanding the autonomous driving team this time will vigorously promote the fully self-developed intelligent driving system Ideal AD Max. This AD Max intelligent driving system uses full-stack self-developed sensing, decision-making, planning and control software, AEB automatic emergency braking function.
Figure 5: Ideal iteration of automatic driving hardware configuration
● Perception of the configuration
Perception, and Tesla use high-performance cameras as the main source of perception, including 6 8-megapixel cameras and 5 2-megapixel cameras, 360 all-round perception of the body's surroundings and long distances.
The combination of two 8-megapixel cameras directly in front enables the identification of objects such as vehicles, pedestrians and cone barrels within a wide-angle range of 120 and up to 550 meters. It should be noted that this time and Tesla suddenly killed five millimeter wave radar (forward radar and four-angle radar), which basically returned to the state of the ideal One in 2020, but with Tesla's same leap-forward visual + computing power to pile out the effect.
Remarks: In the ideal One, the 2021 to 2020 iteration has also been improved by the rational perception system, and the performance parameters of the front camera have been improved from a monocular camera to 1.3 million pixels and a horizontal viewing angle of 52 °; upgraded to 8 million pixels, a horizontal viewing angle of 120 °, which is basically an inherited relationship.
Different from Tesla: forward-facing vehicle-grade lidar is equipped with 128 lasers, global resolution of 1200x128, the number of point clouds reaches 1.53 million / s, in the scene of limited cameras such as low light and strong light, lidar can ensure the accuracy of the system's perception of the environment, and help vehicles improve the identification of stationary and special-shaped obstacles; for example, accident stationary vehicles on the highway, construction barricades and other objects, improve safety. In terms of processors, the computing power platform consists of two.
●The configuration of automatic driving
NVIDIA Orin-X processor, the final force reached 508Tops, the dual processors are redundant with each other's computing power. From the perspective of the flagship version, the ideal L9 with a price point increase is to improve its automatic driving assisted driving ability (the perception configuration and computing power configuration of the three new forces are basically similar) to achieve the navigation assistance driving function of the whole scene.
Spoilers, this time there is no rendering of the autopilot domain controller, but it is a bit like the concept of upgrading from the previous horizon to Orin.
Figure 6.The three most different are lidar suppliers
Summary: The current model, from the hardware point of view, the difference will be smaller and smaller, and the model may enter the era of software competition - which means that most car companies are accelerating the pace of development, while quickly upgrading the hardware. At the meeting of 100 people, Xiaopeng said that he was leading a lot in intelligent driving, but with the flattening of hardware, the follow-up look at the accumulation of software and data, it is really difficult to say how big the gap is.