@article{zhu_pritchard_silverberg_2018, title={A New System Development Framework Driven by a Model-Based Testing Approach Bridged by Information Flow}, volume={12}, ISSN={["1937-9234"]}, DOI={10.1109/JSYST.2016.2631142}, abstractNote={As complexity increases, model-based approaches have become standard in the systems engineering community. However, engineers from different domains approach the system/component development at different levels of abstraction. Information gaps are created because of their different perspectives. In addition, although systems have become more complex, requiring more attention to testing, system methodologies have not kept up. A new framework is needed to bridge the information gaps between the different domains. To take full advantage of both model-based approaches and testing, we propose a new framework, in the form of a new design structure matrix, for complex system development (CSD) that more effectively utilizes information flow from model-based testing (MBT). Toward the goal of being broadly applicable, the framework was designed to be fundamental, flexible, and scalable. A case study of a powertrain design demonstrates how the proposed framework bridges gaps in early development stages. The analysis of both simulation and field testing results has shown that utilization of feedback from MBT refines requirements by closing information gaps earlier. All the information loops in the framework match the information loops in the case study. Furthermore, the framework, because of CSD's iterative nature, has potential in improving information reuse.}, number={3}, journal={IEEE SYSTEMS JOURNAL}, author={Zhu, Di and Pritchard, Ewan G. D. and Silverberg, Larry M.}, year={2018}, month={Sep}, pages={2917–2924} }
 @article{sonnenberg_pritchard_zhu_2018, title={Microgrid Development using Model-Based Design}, ISSN={["2166-546X"]}, DOI={10.1109/GreenTech.2018.00019}, abstractNote={Microgrids are recognized as highly efficient and economical ways to promote distributed resources, energy storage devices, advanced electronic controls, loads and to integrate smart grid technologies. As microgrids and associated technologies advance in popularity and complexity, it becomes ever more important to institute robust design methods to control these systems. Advances in communication, controls, power electronics, protection, and other intelligent techniques must also be accounted for. Model-based design (MBD) methodology developed for electric vehicle and industrial controls accounts for these factors as well as facilitates system verification, locates and correct errors, and enables reuse of developed designs. Our work described in this paper demonstrates how model-based design may be applied to microgrids to reap the same benefits as widely received in vehicle and industrial production. We present a microgrid design case in which the MBD approach is leverage for rapid development and verification.}, journal={2018 IEEE GREEN TECHNOLOGIES CONFERENCE (GREENTECH)}, author={Sonnenberg, Matthew and Pritchard, Ewan and Zhu, Di}, year={2018}, pages={57–60} }
 @inproceedings{pritchard_mackey_zhu_gregory_norris_2017, title={Modular electric generator rapid deployment DC microgrid}, DOI={10.1109/icdcm.2017.8001030}, abstractNote={The development of a rapidly deployable modular electric generator based on plug-in hybrid vehicle DC architectures provides a highly reliable DC microgrid for use in applications with unstable infrastructure or highly sensitive loads. The result is the commercial production of early stage prototype units built by Schneider Electric with onboard energy storage, combustion generator and rapid interconnects for loads, renewable energy and grid connection.}, booktitle={2017 IEEE Second International Conference on DC Microgrids (ICDCM)}, author={Pritchard, E. and Mackey, L. and Zhu, D. and Gregory, D. and Norris, G.}, year={2017}, pages={106–110} }