Curriculum Vitaes

Masafumi Miyatake

  (宮武 昌史)

Profile Information

Affiliation
Professor (Chair for Department of Engineering and Applied Sciences), Faculty of Science and Technology, Department of Engineering and Applied Sciences, Sophia University
(Concurrent)Chairperson of the Department of Engineering and Applied Science
Degree
Bachelor of Engineering(Mar, 1994, The University of Tokyo)
Master of Engineering(Mar, 1996, The University of Tokyo)
PhD(Mar, 1999, The University of Tokyo)

Researcher number
30318216
ORCID ID
 https://orcid.org/0000-0002-0565-1836
J-GLOBAL ID
200901095855001879
Researcher ID
R-5307-2019
researchmap Member ID
1000256243

External link

We are developing the optimal design of social infrastructure to transport energy, passenger and goods by means of electrical engineering. For more detailed information, please visit Transportation Electrification & Smartification lab (TESlab) Website or some other databases;

[ResearchGate] [GoogleScholar Citations] [Scopus]

(Subject of research)

  • Energy-saving operation for transportaton systems, especially electric railways
  • Operation Control in Public Transport
  • Maximum Power Point Tracker of Power Conditioners for Photovoltaic and Wind Turbine generators
  • Control of Distributed Power Generation System by Using Hybrid Renewable Energy Source

(Proposed theme of joint or funded research)

  • Comprehensive Studies on Energy Management of Transportation and Logistic Systems for Energy Saving and Load Leveling
  • Trackig Control for Energy Efficient Machines

(Other Website) 


Major Awards

 10

Major Papers

 138
  • Kosuke Horiuchi, Masafumi Miyatake
    IEEJ Transactions on Industry Applications, 143(9) 602-610, Sep 1, 2023  Peer-reviewedLast authorCorresponding author
    The energy consumption of a battery-powered train in an interstation depends on the running time and state of energy (SOE) at departure. In this paper, we develop an optimization method of train timetables to minimize energy consumption in line with several stations. The variables in this proposed optimization model are running, dwell, and charging times as real numbers and places of charging facilities as binaries. Additionally, we conduct a case study using the real-world light rail transit (LRT) route, vehicle, and onboard battery model to confirm the effectiveness. In the case study, the proposed method can optimize the timetable and placement of charging facilities by considering the track gradient and battery SOE.
  • Haoran GENG, Masafumi MIYATAKE, Qingyuan WANG, Pengfei SUN, Bo JIN
    Mechanical Engineering Journal, 10(3) 22-00360, Jun, 2023  Peer-reviewedCorresponding author
    The timetable of urban rail greatly affects its daily energy consumption. To improve the utilization of renewable energy between trains using timetabling has become an effective way to reduce energy consumption. Previous studies ignore or simplify the modelling of traction power supply network, which failed to accurately describe the flow of energy between trains through the power network. This paper proposed an optimisation method of energy efficiency timetabling considering the power flow of traction power supply network. First, an urban rail transit DC traction network model is established, and the current-vector iterative method is used to characterize the energy consumption. Then, a train timetable optimisation model is proposed to minimize the total energy consumption of the traction network system by adjusting the dwell time and section running time. The genetic algorithm is used to solve the optimisation problem. Finally, simulation result shows that the proposed method can accurately characterize the energy flow and effectively reduce the total energy consumption of the urban rail transit.
  • Shun Ichikawa, Masafumi Miyatake
    IEEJ Journal of Industry Applications, 8(4) 586-591, Jul 1, 2019  Peer-reviewedLast authorCorresponding author
  • Naoki Oba, Masafumi Miyatake
    IEEJ Transactions on Industry Applications, 138(4) 282-290, 2018  Peer-reviewedLast author
  • Masafumi Miyatake, Mummadi Veerachary, Fuhito Toriumi, Nobuhiko Fujii, Hideyoshi Ko
    IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS, 47(1) 367-380, Jan, 2011  Peer-reviewedLead authorCorresponding author
  • Masafumi Miyatake
    IEEJ Transactions on Industry Applications, 131(6) 860-861, 2011  Peer-reviewedLead author
  • Masafumi Miyatake, Hideyoshi Ko
    IEEJ TRANSACTIONS ON ELECTRICAL AND ELECTRONIC ENGINEERING, 5(3) 263-269, May, 2010  Peer-reviewedLead author
  • Nabil A. Ahmed, Masafumi Miyatake, A. K. Al-Othman
    ENERGY CONVERSION AND MANAGEMENT, 49(10) 2711-2719, Oct, 2008  Peer-reviewed

Major Misc.

 55

Major Books and Other Publications

 10

Presentations

 167

Teaching Experience

 16

Major Professional Memberships

 4

Major Research Projects

 16

Major Industrial Property Rights

 2

Major Social Activities

 2

Media Coverage

 1