Faculty of Science and Technology, Department of Engineering and Applied Sciences
Job title
Professor
Degree
Bachelor of Engineering(The University of Tokyo), Master of Engineering(The University of Tokyo), PhD(The University of Tokyo)
Research funding number
30318216
ORCID ID
0000-0002-0565-1836
J-Global ID
200901095855001879
Profile
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) Miyatake's website on Scrapbox
Research Interests
electric railway
,optimal control
,timetabling
,energy efficiency
,energy management
,maximum power point tracking control (MPPT)
IEEE Aerospace and Electronic Systems Society, M. Barry Carlton Award,United StatesMasafumi Miyatake Mummadi Veerachary Fuhito Toriumi Nobuhiko Fujii Hideyoshi Ko
IEEJ Transactions on Industry Applications 143(9) 602-610 Sep 2023 [Refereed]
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 wi...
Haoran GENG Masafumi MIYATAKE Qingyuan WANG Pengfei SUN Bo JIN
Mechanical Engineering Journal 10(3) 22-00360 Jun 2023 [Refereed]
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...
IEEJ Transactions on Industry Applications 138(4) 282-290 2018 [Refereed]
In dense traffic railway networks, trains may often slow down or stop between stations owing to previous train delays. If preceding train trajectory can be predicted, energy-efficient driving can be achieved by suppressing unnecessary speed change...
Masafumi Miyatake Mummadi Veerachary Fuhito Toriumi Nobuhiko Fujii Hideyoshi Ko
IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS 47(1) 367-380 Jan 2011 [Refereed]
Multiple photovoltaic (PV) modules feeding a common load is the most common form of power distribution used in solar PV systems. In such systems, providing individual maximum power point tracking (MPPT) schemes for each of the PV modules increases...
Sophia University