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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

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

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

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.