Systems and methods for vehicle modeling

A system for vehicle modeling;

• the system comprising:
• a processor;
• and
• a memory including instructions that, when executed by the processor, cause the processor to:
• receive one or more design specification characteristics corresponding to a vehicle steering system design;
• receive one or more end-of-line characteristics of a vehicle steering system that includes the vehicle steering system design;
• generate a master model of the vehicle steering system design using the one or more design specification characteristics corresponding to the vehicle steering system design;
• generate at least one initial parameter using the one or more end-of-line characteristics of the vehicle steering system;
• and
• generate a vehicle specific model based on the master model and the at least one initial parameter;
• receive operational data corresponding to the vehicle steering system;
• generate at least one subsequent parameter using the operational data;
• and
• update the vehicle specific model using the at least one subsequent parameter.

A vehicle modeling system, comprising:

• a processor;
• and
• a memory that includes instructions that, when executed by the processor, cause the processor to:
• receive a master model that includes a digital representation of a class of vehicles corresponding to a vehicle design;
• receive one or more end-of-line characteristics of a vehicle that includes the vehicle design;
• generate an initial parameter set using the one or more end-of-line characteristics of the vehicle;
• generate a vehicle specific physics-based model using the master model and the initial parameter set;
• generate a vehicle specific machine learning based model using at least one of the vehicle specific physics-based model, the master model, and the initial parameter set;
• in response to receiving operation data corresponding to the vehicle, update at least one of the vehicle specific physics-based model and the vehicle specific machine learning based model;
• and
• selectively determine operational behavior of at least one component of the vehicle using at least one of the vehicle specific physics-based model and the vehicle specific machine learning model.