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检索条件"机构=Advanced Control Methods Research and Advanced Engineering Ford Motor Company"
240 条 记 录,以下是81-90 订阅
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Suspension energy regeneration for random excitations and self-powered actuation
Suspension energy regeneration for random excitations and se...
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IEEE International Conference on Systems, Man, and Cybernetics
作者: Farbod Khoshnoud Jianbo Lu Yuchi Zhang Richard Folkson Clarence W. De Silva Department of Mechanical Engineering Brunel University Controls Research and Advanced Engineering Ford Motor Company Ford Motor Research & Engineering (Nanjing) Co. Ltd. School of Engineering University of Hertfordshire Department of Mechanical Engineering University of British Columbia
This paper concerns energy harvesting from vehicle suspension systems. Theoretical and experimental presentation of energy harvesting from suspension is explored. The generated power associated with random excitation ... 详细信息
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An experimental comparison of dynamic routing protocols in mobile networks
An experimental comparison of dynamic routing protocols in m...
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International Conference on Informatics in control, Automation and Robotics (ICINCO)
作者: Glazunov Vadim Gusikhin Oleg Kurochkin Leonid Kurochkin Mihail Popov Sergey Telematics department Saint-Petersburg State Polytechnic University Russia Research and Advanced Engineering Ford Motor Company Dearborn Michigan U.S.A
The paper deals with the research of dynamic attributes of routing protocols in the vehicle's movement simulation in urban environment. Simulation environment allows to modify the volume of the transmitted data, t... 详细信息
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Design and optimization of fixture for high pressure gas quenching of transmission components
Design and optimization of fixture for high pressure gas que...
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27th ASM Heat Treating Society Conference and Exposition 2013
作者: Wang, Junsheng Su, Xuming Li, Mei Lucas, Ronald Dowling, William Ford Research and Advanced Engineering Lab. Ford Motor Company 2101 Village Rd. Dearborn MI 48124 United States Powertrain Manufacturing Engineering Ford Motor Company 36200 Plymouth Rd. Livonia MI 48150 United States
In order to achieve the desired durability for transmission components, case-hardening is widely applied to transmission gears. Low Pressure Carburizing (LPC) and High Pressure Gas Quench (HPGQ) has the advantage of p... 详细信息
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Heterogeneous multiprotocol vehicle controls systems in cloud computing environment
Heterogeneous multiprotocol vehicle controls systems in clou...
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10th International Conference on Informatics in control, Automation and Robotics, ICINCO 2013
作者: Zaborovski, Vladimir S. Chuvatov, Mikhail Gusikhin, Oleg Makkiya, Abdulaziz Hatton, David Telematics Department St. Petersburg State Polytechnic University St. Petersburg Russia Research and Advanced Engineering Ford Motor Company Dearborn MI 48121 United States Connected Services Systems Organization Ford Motor Company Dearborn MI 48121 United States
The paper introduces a heterogeneous multiprotocol cloud computing environment for vehicle monitoring and applicable services. It also highlights the concept behind virtual vehicle communication with multiprotocol dat... 详细信息
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Hydraulic Clutch Modeling for Automotive control
Hydraulic Clutch Modeling for Automotive Control
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IEEE Annual Conference on Decision and control
作者: Sarah Thornton Gregory M. Pietron Diana Yanakiev James McCallum Anuradha Annaswamy Department of Mechanical Engineering Massachusetts Institute of Technology Cambridge Massachusetts 02139 Powertrain Control Department of Research and Advanced Engineering Ford Motor Company Dearborn Michigan 48121
A low-order dynamic model of a clutch for hydraulic control in an automatic transmission is developed by separating dynamics of the shift into four regions based on clutch piston position. The first three regions of t... 详细信息
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Evolving Markov chain models of driving conditions using onboard learning
Evolving Markov chain models of driving conditions using onb...
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IEEE International Conference on Cybernetics
作者: Andrew Hoekstra Dimitar Filev Steven Szwabowski Kevin McDonough Ilya Kolmanovsky Research and Advanced Engineering Ford Motor Company Dearborn MI USA Department of Aerospace Engineering University of Michigan Ann Arbor MI USA
This paper describes simple and suitable for real-time implementation algorithms for on-board learning of Markov Chain models of driving conditions (e.g., driver wheel torque request, vehicle speed, surrounding traffi... 详细信息
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The look-up table controllers and a particular class of Mamdani fuzzy controllers are equivalent - Implications to real-world applications
The look-up table controllers and a particular class of Mamd...
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Conference of the North American Fuzzy Information Processing Society - NAFIPS
作者: Dimitar Filev Hao Ying Research & Advanced Engineering Ford Motor Company Detroit MI USA Department of Electrical & Computer Engineering Wayne State University Detroit MI USA
We focused on a new direction of fuzzy control that, we believe, has received little, if any, attention. We explored how the look-up table (LUT) controllers and one special type of Mamdani fuzzy controllers were mathe... 详细信息
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State of Charge Estimation of Cells in Series Connection by Using only the Total Voltage Measurement
State of Charge Estimation of Cells in Series Connection by ...
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American control Conference
作者: Xinfan Lin Anna G. Stefanopoulou Yonghua Li R. Dyche Anderson Department of Mechanical Engineering University of Michigan Ann Arbor MI 48109 USA Vehicle and Battery Controls Department Research and Advanced Engineering Ford Motor Company Dearborn MI 48121 USA
The voltage of lithium ion batteries is usually monitored to prevent overcharge and overdischarge. For battery packs consisting of hundreds of cells, monitoring the voltage of every single cell adds significant cost a... 详细信息
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QLC-Based Design of Reference Tracking controllers for Systems with Asymmetric Saturating Actuators
QLC-Based Design of Reference Tracking Controllers for Syste...
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IEEE Annual Conference on Decision and control
作者: P. T. Kabamba S. M. Meerkov H. R. Ossareh Aerospace Department University of Michigan Ann Arbor MI 48109 USA EECS Department University of Michigan Ann Arbor MI 48109 USA Ford Research and Advanced Engineering Ford Motor Company Dearborn MI 48124 USA
Quasilinear control (QLC) is a set of methods for designing reference tracking and disturbance rejection controllers for systems with nonlinear actuators and sensors. While most QLC methods are applicable to systems w... 详细信息
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Driving pattern identification for EV range estimation
Driving pattern identification for EV range estimation
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2012 IEEE International Electric Vehicle Conference, IEVC 2012
作者: Yu, Hai Tseng, Finn McGee, Ryan Electrification Research and Advanced Engineering Ford Motor Company Dearborn MI 48121 United States
This paper presents a driving pattern recognition method based on trip segment clustering. Driving patterns categorize various driving behaviors that contain certain energy demand property in common. It can be applied... 详细信息
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