Search Results

Modular systems provide the ability to achieve product variety through the combination and standardization of components. The trend within the automotive industry is towards modular systems. The automotive manufacturers separate the vehicle into modular systems (chunks), which may be built and tested off line before assembled for vehicle installation. In this paper, software that utilizes a new clustering algorithm for development of integrated and modular vehicle architectures is presented. The algorithm and software tool presented in this paper allows the system designer to automate and optimize the vehicle system development process. A vehicle system model that identifies all the functional (data, and control) interfaces between vehicle system functions is the input to the software tool. The software tool is capable of analyzing this input data and determining the vehicle system architecture by optimally grouping (integrating) functions into physical modules.

The rapid growth of electronic feature content within the vehicle continues to challenge the automotive industry. Customers want cutting edge consumer electronics features in a vehicle before the features are obsolete. However, automotive manufacturers continue to struggle with introducing new features into vehicles before they become obsolete to the customer. The ability for automotive manufacturers to seamlessly upgrade existing products with new and improved products continues to plague the automotive industry. Vehicles traditionally take 4 plus years to design and manufacture. Automotive manufacturers need to plan consumer electronics features early, but not actually integrate those into the vehicle until late in the design cycle, possibly on the production line. This would help facilitate providing the most recent features.

Rising costs continue to be a problem within the automotive industry. One way to address these rising costs is through modularity. Modular systems provide the ability to achieve product variety through the combination and standardization of components. Modular design approaches used in development of vehicle electrical, electronic, and software (EES) systems allow sharing of architectures/modules between different product lines (vehicles). This modular design approach may provide economies of scale, reduced development time, reduced order lead-time, easier product diagnostics, maintenance and repair. Other benefits of this design approach include development of a variety of EES systems through component swapping and component sharing. In this paper, new optimization algorithms and software tools are presented that allow vehicle EES system design engineers to develop modular architectures/modules that can be shared across vehicle platforms (for OEMs) and across OEMs (for suppliers).

The past 10 years have created such buzzwords as “model-based development” and “auto-code generation”. Conveniently absent from the tool literature on model-based development are the equally, or more important concepts of Software Architecture and Process. When developing product line software, the process and architecture form a critical foundation to base reusable products and components. The development process can no longer be viewed as “model-based”, but rather as “model-driven”, due to the reliance on the models as the source artifact as opposed to the creators of the source artifacts. A model-driven product line software development process allows capturing of behavior, for commonality across different products, and having a different implementation for a specific product release.

Modular systems provide the ability to achieve product variety through the combination and standardization of components. In this paper, a methodology that combines the system modeling, integration analysis, and optimization techniques for development of modular electrical/electronic vehicle systems is presented. The approach optimizes integration and interactions of the electrical/electronic system elements and creates functional and physical modules for the system. The approach proposed in this paper is systematic and can be used to support product development and decision making in engineering design.

The rapid growth of vehicle feature content continues to challenge automotive designers. The total vehicle feature content seriously impacts the manufacturing complexity of any single vehicle. Traditional strategies for introducing new features into high-content luxury vehicles before moving the feature into economy vehicles have been undermined by the fast moving consumer electronics field. The challenge for automotive OEM and Tier 1 suppliers is to optimize the vehicle architecture in order to provide more efficient means of introducing features expediently and efficiently. Therefore, any production vehicle's Electrical, Electronic, & Software (EES) architecture must successfully support modular sourcing, modular assembly, global manufacturing schemes, cost and weight issues.