Hi,welcome
86-755-88844016 6*12 hours online call
Classification and specifications of automotive chips
2023-05-19

The automotive chip is a core component used in automotive electronic systems, which can quickly process various tasks in the automotive system while ensuring system stability and safety. With the continuous development of automotive intelligence and electrification, the demand for automotive chips continues to increase. The following will introduce the classification and specifications of automotive chips.


1、 Classification of Automotive Chips


未标题-1

Divided by function


Automotive chips can be divided into various types according to their functions, the most common of which include:


(1) Control chip: used to control various systems of a car, such as engine control, braking system, airbags, etc.


(2) Communication chip: used to achieve communication between vehicles and between people and vehicles, such as car networking chips.


(3) Sensor chip: used to detect various parameters inside and outside the car, such as temperature, pressure, speed, etc.


(4) Power management chip: used to manage the supply and distribution of car power to ensure the normal operation of the car.


Classified by purpose


Automotive chips can also be classified into various types based on their purpose, the most common of which include:


(1) Driving aid system on a chip: It is used to realize automatic driving, automatic parking and other driving aid systems.


(2) New energy vehicle chip: used to control components such as motors and batteries of new energy vehicles.


(3) Traditional car chips: used to control the fuel system, braking system, airbags, etc. of traditional cars.


2、 Specifications for automotive chips


processing capacity


The processing power of automotive chips is one of the important indicators to measure their performance. Generally speaking, the higher the processing power of automotive chips, the better their performance. At present, the mainstream automotive chip processing capacity can reach 180 billion operations per second, which can meet the needs of automotive intelligence and electrification.


Security


The safety of automotive chips is a top priority in automotive chip design. Automotive chips need to ensure the stability and security of the system to prevent hacker attacks and malicious software intrusion. Automotive chips need to have features such as security authentication, encryption technology, and multi-level protection to ensure the security of the vehicle.


reliability


The reliability of automotive chips is one of the important indicators for measuring chip performance. Automotive chips need to work normally in extreme environments such as high temperature and pressure, so their reliability needs to be very high. The reliability of mainstream automotive chips can reach the level of millions of hours.


The above is an introduction to the classification and specifications of automotive chips.

Hot news
AUO
TFT-LCD modules, TFT-LCD panels, energy storage/management systems, touch solutions, etc.
The working principle and classification of electromagnetic voltage transformers
Electromagnetic voltage transformers are commonly used in power systems to measure voltage on high-voltage transmission lines. They can also be used to monitor the voltage waveform and amplitude in the power system, in order to timely detect faults and problems in the power system. In this article, we will provide a detailed introduction to the working principle and classification of electromagnetic voltage transformers.
Differences between thermal relays and thermal overload relays
Thermal relays and thermal overload relays are common electrical protection devices, but their working principles and protection objects are different. In this article, we will provide a detailed introduction to the differences between thermal relays and thermal overload relays.
Types and Packaging of Tantalum Capacitors
Tantalum capacitors are electronic components that use tantalum metal as the electrode material. They are usually divided into two types: polarized and unpolarized, and come in various packaging forms. In this article, we will discuss in detail the types and packaging of tantalum capacitors.
The difference between thermal relays and fuses
Thermal relays and fuses are common electrical components that play a protective role in circuits. Although they can both interrupt the circuit, there are some differences between them. In this article, we will provide a detailed introduction to the differences between thermal relays and fuses.
FT2232 Development Board
A development board designed with FT2232 chip, which fully leads out the IO port, can be used to design an interface expansion board based on this.
AI high-performance computing - integrated storage and computing
Integrated storage and computing or in memory computing is the complete integration of storage and computing, directly utilizing memory for data processing or computation. Under the traditional von Neumann architecture, data storage and computation are separated. Due to the increasing performance gap between storage and computation, the speed at which the processor accesses stored data is much lower than the processor's computation speed. The energy consumption of data transportation between memory and main memory is also much higher than the energy consumed by the processor's computation.
AI High Performance Computing - Google TPU
Since Google launched the first generation self-developed artificial intelligence chip Tensor Processing Unit (TPU) in 2016, it has been upgraded to the fourth generation TPU v4 after several years of development (as of the end of 2022). The TPU architecture design also achieves efficient computation of network layers such as deep learning convolutional layer and fully connected layer by efficiently parallelizing a large number of multiplication and accumulation operations.
AI High Performance Computing - Cambrian NPU
The Cambrian period was one of the earliest AI chip companies in China to study. The design of their AI chip NPU (Neural Network Processing Unit) originated from a series of early AI chip architecture studies, mainly including DianNao, DaDianNao, PuDianNao, ShiDianNao, Cambricon-X, and other research achievements.
AI High Performance Computing - AI Chip Design
The simplest and most direct design approach for AI chips is to directly map neurons to hardware chips, as shown in the figure. The Full Hardware Implementation scheme maps each neuron to a logical computing unit and each synapse to a data storage unit. This architecture design can achieve a high-performance and low-power AI chip, such as an Intel ETANN chip. In the full hardware implementation scheme, the output data of the previous layer is multiplied by the weight, and the results of the multiplication are then added up, and then output to the next layer for calculation through an activation function. This architecture design tightly couples computing and storage, allowing the chip to avoid large-scale data access while performing high-speed computing, improving overall computing performance while also reducing power consumption.
User Info:
Phone number
+86
  • +86
  • +886
  • +852
Company Name
Email
Product model
Quantity
Comment message