Configurable Vehicle Data Collection Across Mixed Network Buses
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Solution Overview
Problem
Vehicle communication networks face challenges with increasing data demands, regulatory complexities, and integration costs due to the segregation of network types, limited customization, and data management issues, particularly in mixed network environments.
Innovation Solution
The system employs configurable data collection by adjusting communication routing, implementing triggers, managing shared storage, and applying policies to enhance data collection and storage operations, including flexible policy implementation and data compression techniques.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional vehicle communication networks (CAN, LIN, FlexRay) are used, then robustness and dedicated equipment are ensured, but data collection efficiency and customization are limited
Solution Approach 1:
The system implements a universal data collection framework that works across multiple network types (CAN, LIN, FlexRay, Ethernet) and device types through standardized interfaces and configurable protocols. The same data collection system can adapt to different vehicle architectures without requiring separate specialized equipment for each network type, thereby improving data collection efficiency while maintaining broad adaptability.
Solution Approach 2:
The system employs dynamic configuration capabilities where data collection parameters, routing paths, and communication protocols can be adjusted in real-time based on network conditions and requirements. This dynamic adaptability allows the system to optimize data collection efficiency for each specific network environment while maintaining the ability to customize behavior for different applications.
2Speed
If higher performance buses are implemented to meet increasing data rate demands, then data transmission capability is improved, but integration costs and re-certification burdens increase
Solution Approach 1:
The system segments the vehicle communication network into different zones with hierarchical data collection architecture. Legacy devices remain on traditional CAN/LIN buses while newer high-performance Ethernet segments handle high-speed data transmission. This segmentation allows high data rate capability to be achieved without requiring complete system replacement, reducing integration costs while maintaining backward compatibility.
Solution Approach 2:
The system introduces gateway devices as intermediaries between legacy networks and high-performance networks. These gateways translate and route data between different network types, enabling high data transmission rates without requiring direct integration of all devices into a single high-performance network, thereby reducing overall integration costs and certification requirements.
3Reliability
If network types are segregated to maintain legacy device compatibility, then backward compatibility is preserved, but data management complexity increases
Solution Approach 1:
The system employs gateway devices and protocol translators as intermediaries that manage communication between segregated network types. These intermediaries handle the complexity of protocol conversion and data routing automatically, allowing legacy devices to remain on traditional networks while new devices connect to high-performance networks, thus preserving backward compatibility without significantly increasing overall system complexity.
Solution Approach 2:
The system implements intelligent routing with feedback mechanisms that automatically adjust data collection paths based on network conditions and device capabilities. This feedback-driven approach simplifies data management by automatically optimizing routes across segregated networks without requiring manual configuration, reducing the complexity burden of maintaining multiple network types.
4Adaptability or versatility
If data collection is expanded to meet consumer expectations for connectivity and reduced driver burden, then functionality is improved, but network burden and latency increase
Solution Approach 1:
The system extracts critical data collection functions from the main vehicle network and implements them through dedicated high-speed Ethernet segments and wireless communication interfaces. By separating these functions into dedicated channels, the system can provide enhanced connectivity and reduced driver burden without significantly impacting the latency-sensitive real-time vehicle control networks.
Solution Approach 2:
The system adds wireless communication dimensions (WiFi, Bluetooth, cellular) to the traditional wired vehicle network architecture. This dimensional expansion allows data collection to occur through multiple simultaneous channels, distributing the network burden and reducing latency for critical in-vehicle communication while providing enhanced connectivity for infotainment and driver assistance systems.
Data Source
AI summary
An apparatus may include a policy acquisition circuit configured to interpret a vehicle policy data value including an external event trigger condition. An apparatus may include a policy processing circuit configured to generate parsed policy data including the external event trigger condition. An apparatus may include a policy execution circuit configured to collect vehicle data from one or more vehicle end points in response to the parsed policy data.