H
Hiroshi Fujimoto
Researcher at University of Tokyo
Publications - 660
Citations - 7265
Hiroshi Fujimoto is an academic researcher from University of Tokyo. The author has contributed to research in topics: Electric vehicle & Feed forward. The author has an hindex of 39, co-authored 622 publications receiving 6406 citations. Previous affiliations of Hiroshi Fujimoto include Kyoto University & NSK Ltd..
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Journal ArticleDOI
Slip control for IWM vehicles based on hierarchical LQR
TL;DR: A hierarchical LQR for time-varying interconnected system, which can significantly reduce the design burden, is presented for managing the wheel slip ratios properly, and the effectiveness of the method is verified by both simulations and experiments.
Journal ArticleDOI
A Consideration of Orbital Interaction in the Reaction of 1Δg Molecular Oxygen with Ethylene Derivatives
TL;DR: In this article, the stereochemical path of the reaction between the 1 Δg oxygen molecule and ethylene was examined in terms of orbital interaction, and the results suggest that a path via the perepoxide intermediate or via a peremoxide-like transition state should be carefully examined in discussing not only the steric path to dioxetane, but also the mechanism of hydroperoxide formation.
Proceedings ArticleDOI
Advanced motion control of electric vehicle based on lateral force observer with active steering
Hiroshi Fujimoto,Yuya Yamauchi +1 more
TL;DR: In this article, a lateral force observer (LFO) and yawmoment observer (YMO) are used in an electric vehicle with an active steering and two in-wheel motors.
Journal ArticleDOI
Range Extension Autonomous Driving for Electric Vehicles Based on Optimal Velocity Trajectory Generation and Front-Rear Driving-Braking Force Distribution
Yuta Ikezawa,Hiroshi Fujimoto,Yoichi Hori,Daisuke Kawano,Yuichi Goto,Misaki Tsuchimoto,Koji Sato +6 more
TL;DR: By considering the load transfer, slip ratio, motor losses, a READ system is proposed that optimizes the velocity trajectory and the front and rear driving-braking force distribution ratio; these techniques help reduce the consumption energy of the autonomous vehicle.
Proceedings ArticleDOI
Optimal yaw-rate control for electric vehicles with active front-rear steering and four-wheel driving-braking force distribution
Hiroshi Fujimoto,Kenta Maeda +1 more
TL;DR: This study shows that the equalization of the workload on each wheel and quick yaw-rate response are achieved by adopting the proposed methods for obtaining longitudinal-and lateral-force distributions based on least-squares solutions of the equations of longitudinal, lateral, and yawing motions.