Redundant EPS: Key to Autonomous Driving Safety

2024/7/23 15:31:48

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Key Redundant EPS Technologies for L3 Autonomous Driving

In independent driving frameworks, the directing framework is one of the key components guaranteeing the vehicle's ordinary operation. The Electric Control Controlling framework (EPS), with its basic structure, fast reaction, and moo vitality utilization, has ended up broadly utilized in present day vehicles, making it an perfect choice for independent driving frameworks. In any case, in complex street situations and variable driving scenarios, a single EPS framework cannot meet the tall security and unwavering quality prerequisites of L3 independent driving. Therefore, the introduction of redundant EPS technology provides higher safety guarantees for autonomous driving systems.

Redundancy Strategies

In redundant EPS technology, redundancy strategies are crucial. The main types include:

1. Hardware Redundancy: Designing two or more identical EPS hardware systems to achieve hardware-level redundancy. When one system fails, the other can immediately take over, ensuring the vehicle's normal operation.

2. Software Redundancy: Implementing redundancy at the software level, including control algorithms and data processing. By designing multiple independent control algorithms and data processing flows, it ensures that other algorithms or flows can function normally when a single algorithm or data processing flow encounters issues.

3. Data Redundancy: Collecting data from multiple sensors and performing fusion processing to achieve data-level redundancy. This design can improve data accuracy and reliability, reducing the impact of errors from a single sensor.

4. Communication Redundancy: Employing multiple communication channels and protocols between the EPS system and other systems to ensure that other channels or protocols can communicate normally when a single communication channel or protocol fails.

Safety Mechanism Analysis

In addition to redundancy strategies, safety mechanisms are also an important part of redundant EPS technology. Common safety mechanisms include:

1. Blame Conclusion and Caution Component: Real-time observing of the EPS system's working status to distinguish potential flaws and issue notices in a opportune way. When a blame is identified, the framework can naturally switch to a reinforcement framework or inform the driver to require over.

2. Security Debasement Component: When the independent driving framework experiences a blame, it can naturally debase to a secure state, guaranteeing the vehicle can securely halt or proceed driving, in this way maintaining a strategic distance from potential perils caused by framework disappointments.

3. Crisis Braking Component: In crisis circumstances, the framework can consequently enact the crisis braking work to guarantee the vehicle can halt rapidly, subsequently dodging or lessening the peril caused by brake framework disappointments.

4. Human-Machine Interaction Instrument: Amid autonomous driving, the framework should associated with the driver in real-time to guarantee the driver can take over the driving assignment at any time. This instrument can increment the driver's believe within the independent driving framework and decrease dangers amid human-machine moves.

Redundant EPS

Dual MCU Architecture of Redundant EPS

The redundant EPS system adopts a dual MCU architecture, where both ECU A and ECU B have complete control functions. After power initialization, the system defaults to assigning master and slave roles. Under normal working conditions, both systems calculate torque commands, but the slave system responds to the torque commands assigned by the master system. If a single point of failure occurs, the dual MCUs will determine whether to switch master and slave roles based on the fault diagnosis and handling mechanism, switching the slave system to the master system if necessary.

By implementing the above redundancy strategies and safety mechanisms, redundant EPS technology can provide a more robust safety guarantee for autonomous driving systems, ensuring that vehicles can maintain good driving performance and safety under various complex road conditions.

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