Diagnosis Model for the Intelligence of Dual-Clutch Transmission Control Systems Based on Utility Weights

Current evaluation methods for Dual-clutch Transmission (DCT) control systems typically focus on certain performance metrics while neglecting the assessment and quantitative diagnosis of system intelligence. To address this limitation, this paper employs a customized Analytic Hierarchy Process to determine the utility weights of scenario categories and scenario performance. A discrete choice model based on utility decision criteria is introduced, with the overall utility quantifying the intelligence of DCT control systems. This approach culminates in a diagnostic model for the intelligence of DCT control systems based on utility weights and the Analytic Hierarchy Process. Experimental validation involved comparative testing of two distinct DCT control systems installed on identical vehicles under multi-dimensional scenarios. Results demonstrate that the proposed model can accurately identify, analyze, compare, and evaluate the intelligence of DCT control systems. It shows broad applicability in vehicle intelligence, DCT control systems research and related fields.