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Institution

Toyota

CompanySafenwil, Switzerland
About: Toyota is a company organization based out in Safenwil, Switzerland. It is known for research contribution in the topics: Internal combustion engine & Battery (electricity). The organization has 40032 authors who have published 55003 publications receiving 735317 citations. The organization is also known as: Toyota Motor Corporation & Toyota Jidosha KK.


Papers
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Journal ArticleDOI
TL;DR: Distortions in the PWM inverter-fed induction motor system over the various frequencies of the carrier are investigated and a correction circuit with PWM potential feedback is proposed; the effectiveness of that circuit is shown by experiments.
Abstract: The switching lag-time that prevents the phase shortage of inverter arms causes serious waveform distortions and fundamental voltage drops in pulsewidth-modulated inverter output. Distortions in the PWM inverter-fed induction motor system over the various frequencies of the carrier are investigated and a correction circuit with PWM potential feedback is proposed; the effectiveness of that circuit is shown by experiments.

302 citations

Journal ArticleDOI
Jiajun Chen1
TL;DR: This review will focus on the recent advance of tin- and silicon-based anode materials in Li-ion battery materials, and new polyoxyanion cathodes, such as phosphates and silicates as cathode materials, will be discussed.
Abstract: The development and commercialization of lithium ion batteries is rooted in material discovery. Promising new materials with high energy density are required for achieving the goal toward alternative forms of transportation. Over the past decade, significant progress and effort has been made in developing the new generation of Li-ion battery materials. In the review, I will focus on the recent advance of tin- and silicon-based anode materials. Additionally, new polyoxyanion cathodes, such as phosphates and silicates as cathode materials, will also be discussed.

301 citations

Journal ArticleDOI
TL;DR: TsLAC has been selected as the best one of the DET-type bioelectrocatalyst for the four-electron reduction of dioxygen in view of the thermodynamics and kinetics at pH 5.5.
Abstract: One-compartment biofuel cells without separators have been constructed, in which d-fructose dehydrogenase (FDH) from Gluconobacter sp. and laccase from Trametes sp. (TsLAC) work as catalysts of direct electron transfer (DET)-type bioelectrocatalysis in the two-electron oxidation of d-fructose and four-electron reduction of dioxygen as fuels, respectively. FDH adsorbs strongly and stably on Ketjen black (KB) particles that have been modified on carbon papers (CP) and produces the catalytic current with the maximum density of about 4 mA cm(-2) without mediators at pH 5. The catalytic wave of the d-fructose oxidation is controlled by the enzyme kinetics. The location and the shape of the catalytic waves suggest strongly that the electron is directly transferred to the KB particles from the heme c site in FDH, of which the formal potential has been determined to be 39 mV vs. Ag|AgCl|sat. KCl. Electrochemistry of three kinds of multi-copper oxidases has also been investigated and TsLAC has been selected as the best one of the DET-type bioelectrocatalyst for the four-electron reduction of dioxygen in view of the thermodynamics and kinetics at pH 5. In the DET-type bioelectrocatalysis, the electron from electrodes seems to be transferred to the type I copper site of multi-copper oxidases. TsLAC adsorbed on carbon aerogel (CG) particles with an average pore size of 22 nm, that have been modified on CP electrodes, produces the catalytic reduction current of dioxygen with a density of about 4 mA cm(-2), which is governed by the mass transfer of the dissolved dioxygen. The FDH-adsorbed KB-modified CP electrodes and the TsLAC-adsorbed CG-modified CP electrodes have been combined to construct one-compartment biofuel cells without separators. The open-circuit voltage was 790 mV. The maximum current density of 2.8 mA cm(-2) and the maximum power density of 850 microW cm(-2) have been achieved at 410 mV of the cell voltage under stirring.

299 citations

Journal ArticleDOI
TL;DR: This work provides an experimental validation of the formal control theoretic methods to guarantee a collision-free (safe) system, whereas overrides are only applied when necessary to prevent a crash.
Abstract: In this paper, we leverage vehicle-to-vehicle (V2V) communication technology to implement computationally efficient decentralized algorithms for two-vehicle cooperative collision avoidance at intersections. Our algorithms employ formal control theoretic methods to guarantee a collision-free (safe) system, whereas overrides are only applied when necessary to prevent a crash. Model uncertainty and communication delays are explicitly accounted for by the model and by the state estimation algorithm. The main contribution of this work is to provide an experimental validation of our method on two instrumented vehicles engaged in an intersection collision avoidance scenario in a test track.

298 citations

Proceedings ArticleDOI
08 Jul 2014
TL;DR: A prototype implementation of Named Data Networking is described and its preliminary performance assessment is described, and remaining challenges are identified.
Abstract: In this paper we apply the Named Data Networking [8], a newly proposed Internet architecture, to networking vehicles on the run Our initial design, dubbed V-NDN, illustrates NDN's promising potential in providing a unifying architecture that enables networking among all computing devices independent from whether they are connected through wired infrastructure, ad hoc, or intermittent DTN This paper describes a prototype implementation of V-NDN and its preliminary performance assessment, and identifies remaining challenges

297 citations


Authors

Showing all 40045 results

NameH-indexPapersCitations
Derek R. Lovley16858295315
Edward H. Sargent14084480586
Shanhui Fan139129282487
Susumu Kitagawa12580969594
John B. Buse117521101807
Meilin Liu11782752603
Zhongfan Liu11574349364
Wolfram Burgard11172864856
Douglas R. MacFarlane11086454236
John J. Leonard10967646651
Ryoji Noyori10562747578
Stephen J. Pearton104191358669
Lajos Hanzo101204054380
Masashi Kawasaki9885647863
Andrzej Cichocki9795241471
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20231
202232
2021942
20201,846
20192,981
20182,541