Interoperability in an Electrified Pavement System: A Model-Based Systems Engineering Perspective

Beatriz Irene Soto, University of Texas at El Paso


In a 2021 statement provided by The White House, (The White House, 2021), the Biden administration announce the goal for electric vehicles to account for 50% of new vehicle sales in the United States by 2035. In addition, the legislation allocates a budget of $7.5 billion to build out a national network of EV chargers along highway corridors to facilitate long-distance travel and within communities to provide convenient charging where people live, work, and shop. This investment will support the President's goal of building a nationwide network of 500,000 EV chargers to accelerate the adoption of EVs, reduce emissions, improve air quality, and create good paying jobs across the country. The transformation towards a holistic electrified transportation system where systems such as power, highway, data and information, vehicles themselves, and consumers synergistically collaborate to achieve a common goal introduces new opportunities and challenges to the transportation domain. In addition, the characteristics of resulting system-of-systems can be considered through the lens of cyber-physical systems (CPS) where a set of components, networks, data storage, analytics methods, and human beings interact in the context of transportation to provide an electrified service to communities. This thesis contributes to the body of knowledge by 1) exploring current challenges in electric vehicles as CPS, and 2) understanding how model-based principles can assist the development of complex projects such as the interoperability between electric vehicles, highways, and power systems. For this thesis in particular, applied to a case study of an Electrified Pavement System. The research presented in this thesis was conducted in two phases. Phase 1) a grounded theory methodology was implemented to identify the challenges of electric vehicles as they are considered CPS. Results from this study indicated the need to explore efforts in Interoperability, Integration, Understanding, Sustainability, and Security of EVs. Consequently, Phase 2) presents a Model-Based Systems Engineering (MBSE) model developed in 3DS No Magic System of Systems Architect, also known as Cameo, to inform researchers and practitioners how digital engineering models could be effective methods to promote collaboration among systems and stakeholders. The scope of the model is limited to a pavement system, and it is planned to be expanded to additional systems in the future. Overall, the findings of this research will enable decision makers to better understand how digital engineering models can be translated to cost-effective solutions by minimizing verification and validation schedule, decreasing costs across the lifecycle, and increasing overall system performance.

Subject Area

Industrial engineering|Mechanical engineering|Automotive engineering

Recommended Citation

Soto, Beatriz Irene, "Interoperability in an Electrified Pavement System: A Model-Based Systems Engineering Perspective" (2022). ETD Collection for University of Texas, El Paso. AAI30001329.