Engineering modeling for lifecycle management of product information is challenged with the new demand for representation of multidisciplinary product in a single complex model system. Leading developers of product lifecycle management (PLM) systems recognized the need for conceptual modeling of industrial products in higher abstraction level than the classical physical level representation of product and related objects. They turned to PLM models which use representation of product in the requirement, functional, logical, and physical (RFLP) structure. This means introduction of systems engineering (SE) methodology in PLM modeling providing user surface for the definition of R, L, F, and P elements and their connections. It was recognized that definition of elements by engineers is very complex work and needs automation by user defined and integrated procedures. Development of these procedures for the new abstraction levels needs new research results in the PLM modeling methodology. After early recognition of the need for higher level abstraction in product modeling, the Laboratory of Intelligent Engineering Systems (LIES) at the Óbuda University, Budapest, developed five level abstraction model which allowed high level representation of knowledge for decisions at conceptual product development. This knowledge content based abstraction model was utilized at development of the initiative, behavior, context, and action (IBCA) structure. The IBCA structure includes knowledge represented entities for the generation of elements in RFLP structure. This paper introduces the RFLP structure based self adaptive PLM model, its relations to the conventional product modeling, the IBCA structure, and application of the IBCA structure at RFLP element generation. Finally, importance of the proposed method and feasibility of its implementation are discussed.