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Institution

Ford Motor Company

CompanyDearborn, Michigan, United States
About: Ford Motor Company is a company organization based out in Dearborn, Michigan, United States. It is known for research contribution in the topics: Internal combustion engine & Signal. The organization has 36123 authors who have published 51450 publications receiving 855200 citations. The organization is also known as: Ford Motor & Ford Motor Corporation.


Papers
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Journal ArticleDOI
TL;DR: Key achievements made by the GaN semiconductor industry, requirements of the automotive electric drive system and remaining challenges for GaN power devices to fit in the inverter application of hybrid vehicles are reviewed.
Abstract: GaN, a wide bandgap semiconductor successfully implemented in optical and high-speed electronic devices, has gained momentum in recent years for power electronics applications. Along with rapid progress in material and device processing technologies, high-voltage transistors over 600?V have been reported by a number of teams worldwide. These advances make GaN highly attractive for the growing market of electrified vehicles, which currently employ bipolar silicon devices in the 600?1200?V class for the traction inverter. However, to capture this billion-dollar power market, GaN has to compete with existing IGBT products and deliver higher performance at comparable or lower cost. This paper reviews key achievements made by the GaN semiconductor industry, requirements of the automotive electric drive system and remaining challenges for GaN power devices to fit in the inverter application of hybrid vehicles.

138 citations

Patent
26 Jul 1991
TL;DR: In this paper, a method and apparatus are provided for reliably detecting misfires in an internal combustion engine during actual driving conditions by monitoring fluctuations in engine speed between consecutive firing intervals, where an average acceleration over a series of firing intervals is removed from an individual acceleration measurement corresponding to a particular firing interval to give an acceleration deviation which is then normalized to an expected torque to provide a power loss measurement.
Abstract: A method and apparatus are provided for reliably detecting misfires in an internal combustion engine during actual driving conditions by monitoring fluctuations in engine speed between consecutive firing intervals. An average acceleration over a series of firing intervals is removed from an individual acceleration measurement corresponding to a particular firing interval to give an acceleration deviation which is then normalized to an expected torque to provide a power loss measurement. The power loss measurement indicates the occurrence of a misfire with a high signal-to-noise ratio. The information derived from misfire detection can be used to prevent destruction of a catalytic converter by unburned fuel mixtures and can be used to improve vehicle driveability by correcting for or indicating needed sevice for the vehicle. The misfire detection is implemented using existing sensors and processors and is adapted to be done on-board a vehicle in real time.

138 citations

Patent
26 Jan 2001
TL;DR: In this article, a speech recognition system for an automotive vehicle is described, including a microphone receiver, an audio signal generator, and a microphone aimer for giving the microphone receiver a locational bias for reception, an analog-to-digital converter for converting the analog signal to a digital signal, a speech recognizer for recognizing a voice from the digital signal received from the analog to digital converter.
Abstract: A speech recognition system 7 for an automotive vehicle 10 is provided including a microphone receiver 12 for receiving a voice audio signal and converting the same to an analog signal 13, a microphone aimer for giving the microphone receiver 12 a locational bias for reception, an analog to digital converter 15 for converting the analog signal to a digital signal, a speech recognizer 17 for recognizing a voice from the digital signal received from the analog to digital converter 15, an occupant restraint system 22 having an occupant informational system 60/18 to control deployment of the occupant restraint system 22 resultant upon an occupant condition, an occupant restraint system signal generator 18 for signaling the occupant condition to the microphone aimer to locationally bias the reception of the microphone receiver 12.

138 citations

Journal ArticleDOI
TL;DR: The concept of ongoing cardiac myocyte loss that may occur during the course of evolving heart failure viewed from the perspective of apoptosis or "programmed cell death" as the potential mediator of cardiac muscle cell loss is addressed.

138 citations

Journal ArticleDOI
28 Jul 2000-Science
TL;DR: Stratospheric profiles of SF(5)CF(3) suggest that it is long-lived in the atmosphere (on the order of 1000 years), and measurements of its infrared absorption cross section show it to have a radiative forcing of 0.57 watt per square meter per parts per billion.
Abstract: We detected a compound previously unreported in the atmosphere, trifluoromethyl sulfur pentafluoride (SF5CF3). Measurements of its infrared absorption cross section show SF5CF3 to have a radiative forcing of 0.57 watt per square meter per parts per billion. This is the largest radiative forcing, on a per molecule basis, of any gas found in the atmosphere to date. Antarctic firn measurements show it to have grown from near zero in the late 1960s to about 0.12 part per trillion in 1999. It is presently growing by about 0.008 part per trillion per year, or 6% per year. Stratospheric profiles of SF5CF3 suggest that it is long-lived in the atmosphere (on the order of 1000 years).

138 citations


Authors

Showing all 36140 results

NameH-indexPapersCitations
Anil K. Jain1831016192151
Markus Antonietti1761068127235
Christopher M. Dobson1501008105475
Jack Hirsh14673486332
Galen D. Stucky144958101796
Federico Capasso134118976957
Peter Stone130122979713
Gerald R. Crabtree12837160973
Douglas A. Lauffenburger12270555326
Abass Alavi113129856672
Mark E. Davis11356855334
Keith Beven11051461705
Naomi Breslau10725442029
Fei Wang107182453587
Jun Yang107209055257
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202237
2021766
20201,397
20192,195
20181,945
20171,995