Multi-Physical Modeling

Optimal design & robust control through multi-physical modeling.

Our work involves the development of state-of-art modeling and simulation tools for complex, heterogeneous systems. We apply these models for the optimal design and robust control of a variety of systems including HVAC systems, zero-energy buildings, automobiles, and robotic systems.

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  • Awards

    •  AWARD    Best Paper Award at SDEMPED 2023
      Date: August 30, 2023
      Awarded to: Bingnan Wang, Hiroshi Inoue, and Makoto Kanemaru
      MERL Contact: Bingnan Wang
      Research Areas: Applied Physics, Data Analytics, Multi-Physical Modeling
      Brief
      • MERL and Mitsubishi Electric's paper titled “Motor Eccentricity Fault Detection: Physics-Based and Data-Driven Approaches” was awarded one of three best paper awards at the 14th IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives (SDEMPED 2023). MERL Senior Principal Research Scientist Bingnan Wang presented the paper and received the award at the symposium. Co-authors of the paper include Mitsubishi Electric researchers Hiroshi Inoue and Makoto Kanemaru.

        SDEMPED was established as the only international symposium entirely devoted to the diagnostics of electrical machines, power electronics and drives. It is now a regular biennial event. The 14th version, SDEMPED 2023 was held in Chania, Greece from August 28th to 31st, 2023.
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  • News & Events


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  • Internships

    • EA2050: Electric Motor Design and Electromagnetic Analysis

      MERL is seeing a motivated and qualified individual to conduct research on electric motor design and modeling, with a strong focus on electromagnetic analysis. Ideal candidates should be Ph.D. students with solid background and publication record in one more research area on electric machines: electric and magnetic modeling, new machine design and prototyping, harmonic analysis, fault detection, and predictive maintenance. Research experiences on modeling and analysis of electric machines and fault diagnosis are required. Hands-on experience with new motor design and data analysis techniques are highly desirable. Start date for this internship is flexible and the duration is 3-6 months.


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  • Recent Publications

    •  Zhang, H., Wang, B., "Supervised Contrastive Learning for Electric Motor Bearing Fault Detection", International Conference on Electrical Machines (ICEM), September 2024.
      BibTeX TR2024-120 PDF
      • @inproceedings{Zhang2024sep,
      • author = {Zhang, Hengrui and Wang, Bingnan}},
      • title = {Supervised Contrastive Learning for Electric Motor Bearing Fault Detection},
      • booktitle = {International Conference on Electrical Machines (ICEM)},
      • year = 2024,
      • month = sep,
      • url = {https://www.merl.com/publications/TR2024-120}
      • }
    •  Chakrabarty, A., Vanfretti, L., Bortoff, S.A., Deshpande, V.M., Wang, Y., Paulson, J.A., Zhan, S., Laughman, C.R., "Assessing Building Control Performance Using Physics-Based Simulation Models and Deep Generative Networks", IEEE Conference on Control Technology and Applications (CCTA) 2024, August 2024.
      BibTeX TR2024-113 PDF
      • @inproceedings{Chakrabarty2024aug,
      • author = {Chakrabarty, Ankush and Vanfretti, Luigi and Bortoff, Scott A. and Deshpande, Vedang M. and Wang, Ye and Paulson, Joel A. and Zhan, Sicheng and Laughman, Christopher R.}},
      • title = {Assessing Building Control Performance Using Physics-Based Simulation Models and Deep Generative Networks},
      • booktitle = {IEEE Conference on Control Technology and Applications (CCTA) 2024},
      • year = 2024,
      • month = aug,
      • url = {https://www.merl.com/publications/TR2024-113}
      • }
    •  Park, S., Wang, Y., Qiao, H., Sakamoto, Y., Wang, B., Liu, D., "Control Co-Design for Electric Vehicles with Driving Cycle Synthesis Encoding Road Traffic and Driver Characteristics", IEEE Conference on Control Technology and Applications (CCTA) 2024, August 2024.
      BibTeX TR2024-114 PDF
      • @inproceedings{Park2024aug,
      • author = {Park, Seho and Wang, Yebin and Qiao, Hongtao and Sakamoto, Yusuke and Wang, Bingnan and Liu, Dehong}},
      • title = {Control Co-Design for Electric Vehicles with Driving Cycle Synthesis Encoding Road Traffic and Driver Characteristics},
      • booktitle = {IEEE Conference on Control Technology and Applications (CCTA) 2024},
      • year = 2024,
      • month = aug,
      • url = {https://www.merl.com/publications/TR2024-114}
      • }
    •  Bortoff, S.A., Qiao, H., Laughman, C.R., "Modeling and Control of a Multi-Mode Heat Pump", IEEE Conference on Control Technology and Applications (CCTA) 2024, August 2024.
      BibTeX TR2024-111 PDF
      • @inproceedings{Bortoff2024aug,
      • author = {Bortoff, Scott A. and Qiao, Hongtao and Laughman, Christopher R.}},
      • title = {Modeling and Control of a Multi-Mode Heat Pump},
      • booktitle = {IEEE Conference on Control Technology and Applications (CCTA) 2024},
      • year = 2024,
      • month = aug,
      • url = {https://www.merl.com/publications/TR2024-111}
      • }
    •  Vanfretti, L., Laughman, C.R., "Power System Modeling for Identification and Control Applications using Modelica and OpenIPSL", Conference on Control Technology and Applications (CCTA), August 2024.
      BibTeX TR2024-112 PDF
      • @inproceedings{Vanfretti2024aug,
      • author = {Vanfretti, Luigi and Laughman, Christopher R.}},
      • title = {Power System Modeling for Identification and Control Applications using Modelica and OpenIPSL},
      • booktitle = {Conference on Control Technology and Applications (CCTA)},
      • year = 2024,
      • month = aug,
      • url = {https://www.merl.com/publications/TR2024-112}
      • }
    •  Patkar, A., Liu, D., Wang, Y., Youcef-Toumi, K., "Magnetic flux map acquisition using a compressed sensing method", The 19th IEEE Conference on Industrial Electronics and Applications (ICIEA 2024), August 2024.
      BibTeX TR2024-107 PDF
      • @inproceedings{Patkar2024aug,
      • author = {Patkar, Abhishek and Liu, Dehong and Wang, Yebin and Youcef-Toumi, Kamal}},
      • title = {Magnetic flux map acquisition using a compressed sensing method},
      • booktitle = {The 19th IEEE Conference on Industrial Electronics and Applications (ICIEA 2024)},
      • year = 2024,
      • month = aug,
      • url = {https://www.merl.com/publications/TR2024-107}
      • }
    •  Ma, J., Qiao, H., Laughman, C.R., "A Physics-Constrained Data-Driven Modeling Approach for Vapor Compression Systems", International Refrigeration and Air Conditioning Conference at Purdue, July 2024.
      BibTeX TR2024-102 PDF
      • @inproceedings{Ma2024jul,
      • author = {Ma, JiaCheng and Qiao, Hongtao and Laughman, Christopher R.}},
      • title = {A Physics-Constrained Data-Driven Modeling Approach for Vapor Compression Systems},
      • booktitle = {International Refrigeration and Air Conditioning Conference at Purdue},
      • year = 2024,
      • month = jul,
      • url = {https://www.merl.com/publications/TR2024-102}
      • }
    •  Laughman, C.R., Deshpande, V.M., Chakrabarty, A., Qiao, H., "Enhancing Thermodynamic Data Quality for Refrigerant Mixtures: Domain-Informed Anomaly Detection and Removal", nternational Refrigeration and Air Conditioning Conference at Purdue, July 2024.
      BibTeX TR2024-099 PDF
      • @inproceedings{Laughman2024jul,
      • author = {Laughman, Christopher R. and Deshpande, Vedang M. and Chakrabarty, Ankush and Qiao, Hongtao}},
      • title = {Enhancing Thermodynamic Data Quality for Refrigerant Mixtures: Domain-Informed Anomaly Detection and Removal},
      • booktitle = {nternational Refrigeration and Air Conditioning Conference at Purdue},
      • year = 2024,
      • month = jul,
      • url = {https://www.merl.com/publications/TR2024-099}
      • }
    See All Publications for Multi-Physical Modeling

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