Vehicle Cloud Service Provisioning Across Brands and Network Gaps
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Solution Overview
Problem
Current vehicle software is tightly coupled with specific vehicle brands, limiting customers' access to advanced technological features across the automotive industry and restricting the ability to utilize brand-neutral cloud services.
Innovation Solution
A system and method for provisioning cloud services on vehicles that determine geographical location and extract capability information from real-time data to provide applicable cloud services, allowing vehicles to connect with IoT platforms without altering their design, and enabling advanced safety features like health monitoring and teleoperation services.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If vehicle software is tightly coupled with specific vehicle brand architecture, then brand-specific features are optimized, but customers cannot access advanced technological features across different automotive brands
Solution Approach 1:
The patent implements a universal cloud service platform that can provide services across multiple vehicle brands and manufacturers. The system uses standardized interfaces and protocols that allow different vehicle architectures to access the same cloud services, making the system multi-functional rather than brand-specific.
Solution Approach 2:
The patent introduces an intermediary layer between the vehicle's electronic control modules and the cloud services. This intermediary handles communication protocols and data formats, allowing vehicles with different architectures to access cloud services without direct integration, thus reducing complexity while maintaining versatility.
2Loss of information
If cloud services are provisioned based on geographical location and vehicle capability, then service relevance is improved, but system complexity increases due to real-time data processing requirements
Solution Approach 1:
The patent pre-processes and stores vehicle capability information in structured formats before cloud service provisioning is needed. By preparing capability profiles and service compatibility data in advance, the system reduces real-time processing requirements while maintaining accurate service matching.
Solution Approach 2:
The patent replaces complex real-time mechanical data processing with rule-based matching systems and pre-computed service profiles. Instead of continuously analyzing all vehicle data streams, the system uses predefined rules and stored capability information to rapidly determine service applicability.
3Reliability
If cloud services require stable network connection for real-time data transmission, then service reliability is improved, but service availability decreases in areas with poor network connectivity
Solution Approach 1:
The patent implements local buffering and caching mechanisms that store service data and vehicle data locally when network connection is available. This cushioning approach allows the system to continue providing services offline by retrieving from local storage, ensuring service availability in areas with poor connectivity while maintaining data reliability.
4Measurement precision
If cloud services are customized for each vehicle model and brand, then service precision is improved, but provisioning time and complexity increase
Solution Approach 1:
The patent pre-categorizes vehicle capabilities and service requirements into standardized frameworks during vehicle manufacturing and initial setup. By having capability profiles and service compatibility matrices prepared in advance, the system can rapidly match services to vehicles without time-consuming customization, maintaining precision while reducing provisioning time.
Data Source
AI summary
Embodiments of this disclosure disclose provisioning a cloud service on a vehicle. The method may include, in response to receiving a registration request for cloud services for a vehicle and determining a geographical location of the vehicle based on the registration request. The method may further include identifying cloud services available to the geographical location and extracting capability information of the vehicle from real time series data of the vehicle. The method may further include determining cloud services applicable to the vehicle from the cloud services available to the geographical location based on the extracted capability information of the vehicle and in response to receiving a service subscription request from the vehicle, provisioning on the vehicle a cloud service applicable to the vehicle corresponding to the service subscription request.