Research on Advancement Constraint Screening and Cost Evaluation of Centralized Architecture Platforms for Intelligent Vehicles Under Different R&D Solutions

Key Points

• This research aims to develop a quantitative decision-making framework for centralized architecture platforms in intelligent vehicles.
• Constructed a two-stage analysis framework for advanced constraint screening and cost evaluation.
• Utilized fuzzy-set qualitative comparative analysis for R&D strategy screening.
• Developed a total cost of ownership evaluation system for the architecture platform.
• Analyzed optimal R&D strategies for automakers with varying mass production scales.
• Identified adaptive platform middleware and framework middleware as core elements for advanced architecture.
• Found a negative correlation between amortization cost and mass production scale.
• Revealed that in-house R&D costs depend heavily on large-scale amortization.
• Determined differentiated optimal solutions in R&D strategies for various mass production scales.

Abstract