2022 Do fuel cars have autopilot

First the conclusion: fuel cars have no future in autonomous driving!

In automatic driving, sensor acquisition and CPU computing speed is microseconds or even nanoseconds level, the communication is also high-speed, the command is transmitted to the motor can be quickly executed, but the internal combustion engine, such as the internal combustion engine by the air and fuel control of the purely mechanical internal combustion engine can not be done to quickly corresponding. In the end, it is not the algorithms and sensors (brain) can not, but the internal combustion engine (limbs) response speed can not keep up. As an example, a motor that switches forward and reverse direction instantaneously, in less than a second, based on commands from the CPU is unthinkable for an internal combustion engine. The motor can also raise its speed from 0 to 10,000 rpm in 0.1 second based on a command from the CPU, and then drop from 10,000 rpm to 0 rpm in the next 0.1 second (according to stationary), which is also unimaginable for an internal combustion engine. An internal combustion engine simply cannot respond as fast as it needs to for autopilot based on the commands coming from the CPU!

In a driverless car, the operating system's response time to the vehicle must be reduced to microseconds, and it is precisely because of the high speed of the car, where accidents often occur in the blink of an eye, that the car must be able to respond quickly - either by accelerating or braking. But the traditional engine inherently has a "time lag" characteristics, although more and more sensors can be added to the engine to calculate the engine load, temperature, humidity, oxygen and fuel injection, and ultimately calculated to inject the right amount of gasoline to achieve a constant speed of the engine. But this can be a serious drag on the operating system, even for the best equipment. The root of the problem is that the process of injecting fuel into a gasoline engine is a mechanical, chemical activity, so it can create unpredictable situations because of the time lag that makes driverless car engines such a big concern, which means that it's difficult to start, accelerate, and stop the car with precise timing. It is still at the L2 level, or assisted driving, where the main controller of the vehicle is still a human being and the machine only plays a supporting role, so the difference between a fuel car and an electric car is not obvious. But to the L3 level of vehicles and above, the main control of the vehicle from the person transferred to the machine, this time on the response speed of the system has a very high requirement. Imagine that when the vehicle recognizes a danger signal from the outside world through sensors, the vehicle has to respond in the fastest possible time, possibly in fractions of a second, to avoid an accident. Electric vehicles have a bus, all circuit systems, can be the fastest response time, but the fuel car is still the traditional mechanical control, to do automatic driving not only need to do a lot of changes to the system, involving this bus and chassis is more difficult for domestic car companies to mobilize resources, especially the original Tier 1 companies to do the difficult to synergize. What's more, electric motors are easier to manage and regulate, as long as the electric engine is configured with a specific voltage, the engine can instantly generate a corresponding degree of torque, while the combustion engine can be very difficult to do so precise control.

From the perspective of the future development of automobiles, traditional fuel vehicles will one day be replaced by new energy vehicles. That's why major automakers and research organizations are more likely to develop autonomous driving technology in new energy vehicles than in fuel models. And now the fuel car has basically been finalized, new energy vehicles in the vehicle architecture still has a lot of innovation and development space, so in the new energy vehicles on the development of automatic driving technology, the future development of greater potential.