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Interpretation of the development trend of E/E architecture of intelligent connected vehicles

Latest update time:2020-05-16
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Four major trends in future automobile development
Trend 1. Autonomous driving
  • From driving assistance to semi-autonomous driving, and finally to fully autonomous driving

  • The whole world is working hard to achieve "zero accidents"

Trend 2. Electric travel
  • Forced reduction of CO2 emissions will inevitably lead to the electrification of powertrains

Trend 3. Advanced Information Security
  • As cars become more connected and have more software, so does the risk of being hacked

  • Information security protection is required for in-car/outside interconnection

Trend 4. Interconnectivity
  • Driving advanced vehicle connectivity by integrating cars into the Internet

  • Cars will be fully connected (V2I, V2V, in-car connectivity)

Figure 1. Four major trends in future automobiles


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self-driving cars


2.1 Autonomous driving system framework
Autonomous driving systems include:
  • Perception module

  • Data processing and decision control module

  • Vehicle Dynamic Control Module

The key to realizing autonomous driving - multi-system and multi-disciplinary collaboration

Figure 2. Autonomous driving system framework
2.2 Perception module

The driver's senses will be replaced by a "protective shield" composed of sensors of various technologies.

Figure 3. Schematic diagram of environment sensing sensor layout

The higher the level of autonomous driving, the more perception sensors are needed, and therefore a higher level of system integration is required - a higher level of simulation and data training.

Figure 4. Sensor requirements for different levels of autonomous driving
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connected car


Connected cars will provide us with many application scenarios, but the shift from closed systems to open systems will also bring multiple risks.

Application scenarios:

  • Electronic toll collection system

  • traffic jam detection

  • Accident avoidance

  • Priority control for emergency services

Figure 5. The Internet of Vehicles makes vehicles move from closed to open

2.1 Internet vehicle information security threats

Information security is not only a feature of modern cars, information security is also intrinsically linked to traditional security. A breach in traditional security or information security can result in the same result: lives are at risk.
  • Traditional safety - caused by accidental errors that compromise the safe operation of the vehicle

  • Information Security - caused by deliberate attacks on systems and software

Figure 6. Traditional security and information security
2.2 Internet car safety information security protection
One firewall is not enough! In the process of building a security architecture, various security tools must be added.
  • Secure in-vehicle communications

  • sandbox technology

  • Firewall & Gateway

  • Basic protection of a single ECU (anti-theft & access)

Figure 7. Vehicle information security protection

Protective measures:
1) Trust Anchor - Protected Execution Environment Hosting

→ Key storage and related encryption operations

→ Information Security Applications


2) MCU integration

→ high speed

→Information security vehicle communication

→ Logical information security


3) Discrete safety controller

→ External communication

→ Protect high-value data information

→ Certified hardware security


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Trends of future automotive E/E architecture

3.1 The demand for E/E architecture of intelligent connected cars

1) 360 millimeter wave radar requires a new type of sensor, bus and processing architecture.

Figure 8. Sensor requirements for E/E architecture

2) The introduction of central computers triggered the need for high-performance, fail-operational microcontrollers (MCUs).

Figure 9. MCU requirements

3) Sensor network and V2X data volumes require higher computing performance and new domain architecture.

Figure 9. Sensor network and V2X requirements

3.2 Future development trends of E/E architecture

1) Intelligent connected cars have requirements for E/E architecture:
  • Autonomous driving requires the E/E architecture to be designed according to the corresponding functional level.

  • Management complexity due to new / advanced features

  • Address increasing general security and network information security requirements

  • Increase flexibility and enable SOTA

  • Optimize system cost and keep power consumption low

Different OEMs use different methods (evolutionary or destructive) to improve E/E architecture. These methods can be divided into the following categories:

  • Domain Control - Domain Control

  • Domain Integration - domain integration

  • Zone Architecture - Zone Architecture

  • Car Computer - Vehicle computing platform

2) OEM E/E architecture roadmap
The E/E architecture begins to evolve towards an architecture based on regional forms.

Figure 10. OEM E/E architecture route


References:

1. Semiconductors enabling Automated Driving

2. Semiconductor enabling a connected and automated car


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