Vehicle Network Reconfiguration for Real-Time ECU Scheduling
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Solution Overview
Problem
Intelligent vehicle network systems face challenges in optimizing network resource utilization and ensuring real-time information transmission due to increasing electronic and electrical components, leading to inefficient resource allocation and network congestion.
Innovation Solution
A dynamically reconfigurable network system and scheduling method that utilize a central computing unit to dynamically activate or standby network nodes based on driver instructions and vehicle conditions, adjusting the network topology and transmission parameters in real-time to optimize resource utilization and data transmission efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a static network scheduling method is used with the same control parameters for all network load scenarios, then the network system is simple to implement, but network resource utilization is low and cannot adapt to changes in network load
Solution Approach 1:
The patent implements dynamic network scheduling by introducing a central computing unit that dynamically adjusts control parameters based on real-time network load conditions. The system transitions from static scheduling to dynamic scheduling where the central computing unit monitors network status and issues scheduling instructions to domain controllers, enabling the network to adapt to varying load scenarios while maintaining manageable complexity through centralized control.
Solution Approach 2:
The patent establishes a feedback mechanism where the central computing unit continuously monitors network load conditions and uses this information to adjust scheduling parameters. The system collects network status information, processes it through the central computing unit, and implements corrective scheduling actions, creating a closed-loop control system that adapts to changing network conditions.
2Reliability
If all electronic and electrical components are kept active to ensure real-time response, then real-time performance is maintained, but network resource utilization decreases due to invalid components occupying resources
Solution Approach 1:
The patent implements dynamic activation and standby states for network nodes based on real-time scheduling instructions from the central computing unit. Domain controllers and ECUs can be dynamically switched between active and standby states according to current network load and priority requirements, allowing the system to maintain real-time performance for critical functions while reducing resource occupation for non-critical components during low-load periods.
Solution Approach 2:
The patent applies different operational states (active or standby) to different network nodes based on their specific functions and priority levels. Critical domain controllers maintain active state for real-time response, while less critical ECUs can be placed in standby state to free up network resources, creating localized quality variations across the network to optimize overall resource utilization.
3Productivity
If the network system dynamically adjusts topology and transmission parameters, then network resource utilization and bandwidth improve, but the complexity of network control increases
Solution Approach 1:
The patent introduces a central computing unit as an intermediary that manages the complexity of dynamic network control. This central unit consolidates the computational burden of analyzing network conditions and determining optimal scheduling parameters, then communicates simplified instructions to domain controllers. The intermediary approach allows dynamic adjustment of topology and transmission parameters while keeping individual node complexity manageable.
Data Source
AI summary
A dynamically reconfigurable network system and network scheduling method for an intelligent vehicle, the system comprising a central computing unit, a chassis domain controller, an entertainment domain controller, an intelligent driving domain controller and a vehicle body domain controller. The central computing unit is separately connected to the chassis domain controller, the entertainment domain controller, the intelligent driving domain controller and the vehicle body domain controller by means of a network. The chassis domain controller, the entertainment domain controller, the intelligent driving domain controller and the vehicle body domain controller respectively comprise a plurality of intra-domain ECUs, and are respectively connected to the plurality of intra-domain ECUs by means of the network.