Electric Systems

Modeling & optimization of power systems and electromagnetic machines.

Our research in this area includes flexible and resilient power system design and operational optimization; modeling and analysis of electric machines for applications such as fault detection of motors, power efficiency improvement and design complexity reduction.

  • Researchers

  • Awards

    •  AWARD    Best paper award at PHMAP 2023
      Date: September 14, 2023
      Awarded to: Dehong Liu, Anantaram Varatharajan, and Abraham Goldsmith
      MERL Contacts: Abraham Goldsmith; Dehong Liu
      Research Areas: Electric Systems, Signal Processing
      Brief
      • MERL researchers Dehong Liu, Anantaram Varatharajan, and Abraham Goldsmith were awarded one of three best paper awards at Asia Pacific Conference of the Prognostics and Health Management Society 2023 (PHMAP23) held in Tokyo from September 11th to 14th, 2023, for their co-authored paper titled 'Extracting Broken-Rotor-Bar Fault Signature of Varying-Speed Induction Motors.'

        PHMAP is a biennial international conference specialized in prognostics and health management. PHMAP23 attracted more than 300 attendees from worldwide and published more than 160 regular papers from academia and industry including aerospace, production, civil engineering, electronics, and so on.
    •  
    •  AWARD    MERL receives 33rd ARIB Radio Achievement Award
      Date: June 28, 2022
      Awarded to: Yukimasa Nagai, Jianlin Guo, Shoichi Kitazawa, Kazuto Yano.
      MERL Contacts: Jianlin Guo; Philip V. Orlik
      Research Areas: Communications, Electric Systems
      Brief
      • Mitsubishi Electric Corporation (Yukimasa Nagai), MERL (Jianlin Guo), Muroran Institute of Technology (Shoichi Kitazawa) and Advanced Telecommunications Research Institute International (Kazuto Yano) jointly won the 33rd ARIB Radio Achievement Award with "IEEE 802.19.3 Standardization and Development for Sub-1 GHz Wireless Frequency Coexistence". The ARIB is an organization similar to the FCC in the U.S. It is responsible for setting standards for all radio communications in Japan at the request of the Ministry of Internal Affairs and Communications (MIC). In order to promote the effective use of radio waves, the "Radio Achievement Award" is given annually to an individual or organization that has made a special achievement in the effective use of radio waves. This award is the most prestigious award in the field of wireless communications in Japan.
    •  
    •  AWARD    Best conference paper of IEEE PES-GM 2020
      Date: June 18, 2020
      Awarded to: Tong Huang, Hongbo Sun, K.J. Kim, Daniel Nikovski, Le Xie
      MERL Contacts: Daniel N. Nikovski; Hongbo Sun
      Research Areas: Data Analytics, Electric Systems, Optimization
      Brief
      • A paper on A Holistic Framework for Parameter Coordination of Interconnected Microgrids Against Natural Disasters, written by Tong Huang, a former MERL intern from Texas A&M University, has been selected as one of the Best Conference Papers at the 2020 Power and Energy Society General Meeting (PES-GM). IEEE PES-GM is the flagship conference for the IEEE Power and Energy Society. The work was done in collaboration with Hongbo Sun, K. J. Kim, and Daniel Nikovski from MERL, and Tong's advisor, Prof. Le Xie from Texas A&M University.
    •  

    See All Awards for MERL
  • News & Events


    See All News & Events for Electric Systems
  • Internships

    • EA2076: Modeling, simulation, and motion planning of mobile manipulator

      MERL is seeking a highly motivated and qualified individual to conduct research in dynamic model-based robotic system design and control. The ideal candidate should demonstrate solid research record in robotic dynamics and differentiable simulation, motion planning and control, and optimization. Strong coding skill on implementing robotic dynamics and differentiable simulation/optimization using CasADi/PyTorch is a necessity. Ph.D. students in mechanical engineering, robotics, computer science, and electrical engineering are encouraged to apply. Start date for this internship is flexible and the duration is about 3 months.

    • EA2096: Sensing data fusion

      MERL is looking for a self-motivated intern to work on sensing data fusion with applicatino to condition monitoring, fault detection, and predictive maintenance. The ideal candidate would be a Ph.D. candidate in electrical engineering or computer science with solid research background in signal processing and machine learning. Background in electric machine, system control and automation is preferred. Proficiency in MATLAB is necessary. The intern is expected to collaborate with MERL researchers to perform simulations, analyze experimental data, and prepare manuscripts for scientific publications. The total duration is anticipated to be 3-6 months and the start date is flexible. This internship requires work that can only be done at MERL.

    • EA2063: Blockchain Solutions for Factory Automation

      MERL is seeking an intern to work on blockchain based solutions for factory automation. The ideal candidate will have experience implementing a blockchain network with Hyperledger Fabric, have experience working with smart contracts, and be fluent in C++ and Go. Experience developing applications in an embedded linux environment is highly desirable. We are looking for someone to start as soon as possible and the duration is 3-4 months.


    See All Internships for Electric Systems
  • Openings


    See All Openings at MERL
  • Recent Publications

    •  Farakhor, A., Wu, D., Wang, Y., Fang, H., "Scalable Optimal Power Management for Large-Scale Battery Energy Storage Systems", IEEE Transactions on Transportation Electrification, DOI: 10.1109/​TTE.2023.3331243, November 2023.
      BibTeX TR2023-137 PDF
      • @article{Farakhor2023nov,
      • author = {Farakhor, Amir and Wu, Di and Wang, Yebin and Fang, Huazhen},
      • title = {Scalable Optimal Power Management for Large-Scale Battery Energy Storage Systems},
      • journal = {IEEE Transactions on Transportation Electrification},
      • year = 2023,
      • month = nov,
      • doi = {10.1109/TTE.2023.3331243},
      • issn = {2332-7782},
      • url = {https://www.merl.com/publications/TR2023-137}
      • }
    •  Xu, Y., Wang, B., Sakamoto, Y., Yamamoto, T., Nishimura, Y., Koike-Akino, T., Wang, Y., "Electric Machine Inverse Design with Variational Auto-Encoder (VAE)", IEEE Energy Conversion Congress and Exposition (ECCE), October 2023.
      BibTeX TR2023-134 PDF
      • @inproceedings{Xu2023nov,
      • author = {Xu, Yihao and Wang, Bingnan and Sakamoto, Yusuke and Yamamoto, Tatsuya and Nishimura, Yuki and Koike-Akino, Toshiaki and Wang, Ye},
      • title = {Electric Machine Inverse Design with Variational Auto-Encoder (VAE)},
      • booktitle = {IEEE Energy Conversion Congress and Exposition (ECCE)},
      • year = 2023,
      • month = oct,
      • url = {https://www.merl.com/publications/TR2023-134}
      • }
    •  Zhou, A., Sun, H., Kitamura, S., Nikovski, D., "A Decision-Dependent Chance-Constrained Planning Model for Distribution Networks Under Extreme Weather Events", IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe), DOI: 10.1109/​ISGTEUROPE56780.2023.10408310, October 2023.
      BibTeX TR2023-133 PDF
      • @inproceedings{Zhou2023oct,
      • author = {Zhou, Anping and Sun, Hongbo and Kitamura, Shoichi and Nikovski, Daniel},
      • title = {A Decision-Dependent Chance-Constrained Planning Model for Distribution Networks Under Extreme Weather Events},
      • booktitle = {IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe)},
      • year = 2023,
      • month = oct,
      • doi = {10.1109/ISGTEUROPE56780.2023.10408310},
      • url = {https://www.merl.com/publications/TR2023-133}
      • }
    •  Liu, D., Sugawara, R., Hanioka, S., Orlik, P.V., "EMI Mitigation Using a Learning-based Frequency Modulation Carrier in PWM Inverters", IEEE Industrial Electronics Society (IECON), DOI: 10.1109/​IECON51785.2023.10312081, October 2023.
      BibTeX TR2023-130 PDF
      • @inproceedings{Liu2023oct,
      • author = {Liu, Dehong and Sugawara, Retsu and Hanioka, Shota and Orlik, Philip V.},
      • title = {EMI Mitigation Using a Learning-based Frequency Modulation Carrier in PWM Inverters},
      • booktitle = {IEEE Industrial Electronics Society (IECON)},
      • year = 2023,
      • month = oct,
      • publisher = {IEEE},
      • doi = {10.1109/IECON51785.2023.10312081},
      • issn = {2577-1647},
      • isbn = {979-8-3503-3182-0},
      • url = {https://www.merl.com/publications/TR2023-130}
      • }
    •  Rahman, S., Liu, D., Menner, M., Wang, Y., Takegami, T., "Extended Kalman Filter-based Predictive Maintenance of High-Voltage DC/DC Converter", IEEE Industrial Electronics Society (IECON), DOI: 10.1109/​IECON51785.2023.10312019, October 2023.
      BibTeX TR2023-131 PDF
      • @inproceedings{Rahman2023oct,
      • author = {Rahman, Syed and Liu, Dehong and Menner, Marcel and Wang, Yebin and Takegami, Tomoki},
      • title = {Extended Kalman Filter-based Predictive Maintenance of High-Voltage DC/DC Converter},
      • booktitle = {IEEE Industrial Electronics Society (IECON)},
      • year = 2023,
      • month = oct,
      • publisher = {IEEE},
      • doi = {10.1109/IECON51785.2023.10312019},
      • issn = {2577-1647},
      • isbn = {979-8-3503-3182-0},
      • url = {https://www.merl.com/publications/TR2023-131}
      • }
    •  Wang, Y., Lin, C., Fang, H., Takegami, T., "Reliability-based Sizing of Electric Propulsion System for Turboelectric Aircraft", IEEE Industrial Electronics Society (IECON), DOI: 10.1109/​IECON51785.2023.10312416, October 2023.
      BibTeX TR2023-129 PDF
      • @inproceedings{Wang2023oct,
      • author = {Wang, Yebin and Lin, Chungwei and Fang, Huazhen and Takegami, Tomoki},
      • title = {Reliability-based Sizing of Electric Propulsion System for Turboelectric Aircraft},
      • booktitle = {IEEE Industrial Electronics Society (IECON)},
      • year = 2023,
      • month = oct,
      • doi = {10.1109/IECON51785.2023.10312416},
      • url = {https://www.merl.com/publications/TR2023-129}
      • }
    •  Liu, D., Anantaram, V., Goldsmith, A., "Extracting Broken-Rotor-Bar Fault Signature of Varying-Speed Induction Motors", Asia Pacific Conference of the Prognostics and Health Management Society, DOI: 10.36001/​phmap.2023.v4i1.3710, September 2023.
      BibTeX TR2023-115 PDF
      • @inproceedings{Liu2023sep,
      • author = {Liu, Dehong and Anantaram, Varatharajan and Goldsmith, Abraham},
      • title = {Extracting Broken-Rotor-Bar Fault Signature of Varying-Speed Induction Motors},
      • booktitle = {Asia Pacific Conference of the Prognostics and Health Management Society},
      • year = 2023,
      • month = sep,
      • doi = {10.36001/phmap.2023.v4i1.3710},
      • url = {https://www.merl.com/publications/TR2023-115}
      • }
    •  Wang, B., Zhang, S., Inoue, H., Kanemaru, M., "Semi-Supervised Machine Learning for Motor Eccentricity Fault Diagnosis", Asia Pacific Conference of the Prognostics and Health Management Society, September 2023.
      BibTeX TR2023-117 PDF
      • @inproceedings{Wang2023sep,
      • author = {Wang, Bingnan and Zhang, Shen and Inoue, Hiroshi and Kanemaru, Makoto},
      • title = {Semi-Supervised Machine Learning for Motor Eccentricity Fault Diagnosis},
      • booktitle = {Asia Pacific Conference of the Prognostics and Health Management Society},
      • year = 2023,
      • month = sep,
      • url = {https://www.merl.com/publications/TR2023-117}
      • }
    See All Publications for Electric Systems
  • Videos