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检索条件"机构=Advanced Control Methods Research and Advanced Engineering Ford Motor Company"

共 240 条记录，以下是71-80 订阅

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Multivariable Diesel Low-Pressure EGR controller Designed by Input-Output Linearization

Multivariable Diesel Low-Pressure EGR Controller Designed by...

引用

American control Conference

作者： Thomas A. Brewbaker Ford Motor Company Powertrain Controls Research & Advanced Engineering Dearborn MI 48121 USA

ISBN: (纸本)9781479917730

A multivariable low-pressure (LP) exhaust gas recirculation (EGR) controller that simultaneously regulates the LP-EGR mass flow rate and differential pressure using a LP-EGR valve and a LP-intake throttle was designed by input-output linearization plus proportional-integral (PI) control. The controller includes a PI limitation strategy that prioritizes tracking the flow-rate setpoint over the differential-pressure setpoint if either one of the two actuators saturates. A consequence of the limitation strategy is that setting the differential-pressure setpoint unachievably low, e.g. zero, forces the multivariable controller to operate as a single-input two-output (SITO) controller that tracks the LP-EGR flow-rate setpoint while using the LP-EGR valve and throttle as a single chained actuator. Two cases--one with the multivariable controller and a second with the SITO chained-actuator controller--were experimentally compared in a 6.7-liter diesel medium-duty truck. The multivariable controller achieved a lower 2-norm control error and required less actuator movement than the chained-actuator controller, while the chained-actuator controller minimized the differential pressure necessary to achieve the desired LP-EGR flow rate.

关键词： controllers differential pressure Multivariable setpoint INPUT-OUTPUT Linearization

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On-line shift schedule optimization of electric vehicles with multi-speed AMT using moving horizon strategy

On-line shift schedule optimization of electric vehicles wit...

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第三十四届中国控制会议

作者： Lulu Guo Bingzhao Gao Hong Chen Jianbo Lu State Key Laboratory of Automotive Simulation and Control Jilin University (Campus Nan Ling) Department of Control Science and Engineering Jilin University (Campus Nan Ling) Ford Research and Advanced Engineering Ford Motor Company

ISBN: (纸本)9781467374439

This paper proposes an on-line shift schedule optimization strategy using model predictive control for an electric vehicle with 4-speed automated manual transmission. Gauss pseudo-spectral method is used to nd optimal gear shift schedule in prediction horizon and the digital implementation is conducted under the frame of model predictive control. Simulation is used to show the feasibility and effectiveness of the proposed shift schedule strategy. The overall ef ciency of the powertrain system utilizing the proposed shift strategy is improved.

关键词： shift schedule optimization,model predictive control,multi-speed electric vehicle,Gauss pseudospectral method

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Road anomaly estimation: Model based pothole detection

Road anomaly estimation: Model based pothole detection

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American control Conference

作者： Zhaojian Li Ilya Kolmanovsky Ella Atkins Jianbo Lu Dimitar Filev Department of Aerospace Engineering The University of Michigan Ann Arbor MI 48105 USA Research & Advanced Engineering Ford Motor Company Dearborn MI 48121 USA

ISBN: (纸本)9781479917730

This paper describes a model-based pothole detection algorithm that exploits a multi-phase dynamic model. The responses of hitting potholes are empirically broken down into three phases governed by three simpler dynamic system sub-models. Each sub-model is based on a rigid-ring tire and quarter-car suspension model. The model is validated by comparing simulation results over various scenarios with FTire, a commercial simulation software for tire-road interaction. Based on the developed model, a pothole detection algorithm with Unscented Kalman Filter (UKF) and Bayesian estimation is developed and demonstrated.

关键词： Detection algorithms submodel emulation program Bayes methods THREE-PHASE anomaly Road Potholes Vehicle pavement interaction model cars Dynamic systems BREAKING DOWN

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Powersplit HEV performance simulation capability

Powersplit HEV performance simulation capability

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SAE 2014 World Congress and Exhibition

作者： Leach, Sharon Jennings, Mark Research and Advanced Engineering Ford Motor Company United States

A new performance simulation capability has been developed for powersplit HEVs to enable analytical assessment of new engine technologies in the context of HEV system operation and to analyze/understand important system dynamics and control interactions affecting HEV performance. This new capability allows direct simulation with closed-loop controls and the driver, is compatible with ford standard HEV system simulation capabilities and enables simulation with multiple levels of model fidelity and feature content across the vehicle system. The combined plant Vehicle Model Architecture (VMA) in Simulink was used for the infrastructure. The simulation capability includes a Dymola model of the powersplit transaxle, a Vehicle System control (VSC) model implemented in Simulink, a high fidelity 2L Atkinson GT-Power engine model, and a simplified representation of the engine controls in Simulink. Also, the simulation capability interfaces to ford standard vehicle data sets for HEVs through a Matlab interface. A GT-Power Fast Running Model (FRM) for the 2L Atkinson engine was also developed and used in the vehicle simulation in order to speed up the simulation time. The model results were validated with performance test data for the 2L Atkinson engine in a prototype ford Fusion HEV. Copyright © 2014 SAE International.

关键词： Simulink

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Breaking the paradox: Higher diesel engine efficiency at lower cost and weight 35th

Breaking the paradox: Higher diesel engine efficiency at low...

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35th FISITA World Automotive Congress, 2014

作者： van den Heuvel, Bas Hemink, Wilbert Chen, Guohui Willems, Werner Heinig, Klaus-Peter Hopf, Anselm Hermann, Dietmar Bonse, Joerg Hans, Christian Ford Motor Company Research and Advanced Engineering Aachen Germany

The requirement to develop a new engine that is better in each of its attributes is the paradox that engineers are frequently confronted with. The study presented here has challenged that paradox. A new Diesel engine with only two valves per cylinder was developed that has better emissions, better fuel economy and higher performance than its four-valve predecessor whilst having substantially reduced the cost, weight and required package space of the base engine. The new two-valve engine achieves the same volumetric efficiency as its four-valve counterpart as a result of optimizing the cylinder head architecture, the design of the intake ports and manifold, and the valve train. Improved combustion efficiency was achieved through optimization of the combustion chamber and the injection strategy, and by means of a durable cylinder head architecture that has minimized injector inclination and eccentricity. The engineering method that was applied has focussed on defining every detail of the design such that the engine system as a whole is optimized. The application of state-of-the-art CAD and CAE tools, experimental methods and manufacturing technologies were elementary to this approach. Thus, it has been demonstrated that indeed the paradox can be broken. © 2014, FISITA. All rights reserved.

关键词： Diesel engines

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Development of battery hardware-in-the-loop system implemented with reduced-order electrochemistry li-ion battery models

Development of battery hardware-in-the-loop system implement...

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SAE 2014 World Congress and Exhibition

作者： Lee, Tae-Kyung Kaid, Ghamdan Blankenship, John Anderson, Dyche Vehicle and Battery Controls Research and Advanced Engineering Ford Motor Company Dearborn MI 48124 United States

Aggressive battery usage profiles in electrified vehicle applications require extensive efforts in developing battery management strategy and system design determination to guarantee safe operation under every real-world driving conditions. Experiment based approaches have been widely used for battery system development, but higher costs and longer testing time restrain the number of test cases in the product development process. Battery experiments tend to be conservative to avoid inherent risks of battery failure modes under aggressive battery operation close to the capability limits. Battery Hardware-In-the-Loop (HIL) is an alternative way to overcome the limitations of experiment-based approaches. Battery models in the HIL should provide real-time computation capability and high (at least acceptable) prediction accuracy. Equivalent circuit model (ECM) based HILs have been used owing to its relatively good balance between computational time and prediction accuracy. However, there are difficulties in constructing compact ECM structures to capture reliable battery responses over wide ranges of State of Charge (SOC), current, and temperature. In this study, a new battery HIL platform based on reduced-order electrochemistry Lithium-ion (Li-ion) battery models is developed to overcome the limitations of the ECMs in the HIL platform. Reduced-order electrochemistry battery models show an excellent balance of real-time computation capability and prediction accuracy, and they can be directly implemented in the HIL platform. HIL test results are demonstrated to show their benefits for computational time and prediction accuracy. The developed battery HIL will be used for battery system analysis and battery control development for electrified vehicles. Copyright © 2014 SAE International.

关键词： Lithium-ion batteries

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Robust H_∞ control for a Class of Networked Uncertain Systems with Multiple Channels Subject to Markovian Switching

Robust H_∞ Control for a Class of Networked Uncertain Syste...

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IEEE Annual Conference on Decision and control

作者： Zhaojian Li Xunyuan Yin Ilya Kolmanovsky Jianbo Lu Dimitar Filev Ella Atkins Department of Aerospace Engineering The University of Michigan Ann Arbor MI 48105 USA Department of Chemical and Materials Engineering University of Alberta Edmonton T6G 2W2 Canada Research & Advanced Engineering Ford Motor Company Dearborn MI 48121 USA

ISBN: (纸本)9781479978878

In this paper, an H_∞ control problem for a class of network-based uncertain systems is studied. A control framework is presented to optimally exploit multiple communication channels (MCCs) with switching characteristics. System signals are exchanged via the MCCs and network-induced time-varying communication delays occur in each of the communication channels with different characteristics. The channel switching phenomenon is modeled as a continuous-time Markov process and a Markov jump linear system (MJLS) is exploited to model the overall networked system. An H_∞ controller is designed such that the closed-loop MJLS is mean square exponentially stable and the disturbance attenuation level is bounded by an H_∞ bound. A numerical example is presented to demonstrate the effectiveness of the proposed controller design and the advantages of exploiting MCCs.

关键词： MULTICHANNEL uncertain systems Standing Orders controller design Markov chain Robust h-infinity control mean square numerical example channel switching controllers

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Learning Based Approaches to Engine Mapping and Calibration Optimization

Learning Based Approaches to Engine Mapping and Calibration ...

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Optimization and Optimal control in Automotive Systems: workshop organized by the Austrian Center of Competence in Mechatronics, ACCM 2013

作者： Filev, Dimitar Wang, Yan Kolmanovsky, Ilya Research and Advanced Engineering Ford Motor Company Dearborn MI United States Department of Aerospace Engineering The University of Michigan Ann Arbor MI United States

ISBN: (纸本)9783319053707

In this chapter we consider a class of optimization problems arising in the process of automotive engine mapping and calibration. Fast optimization algorithms applicable to high fidelity simulation models or experimental engines can reduce the time, effort and costs required for calibration. Our approach to these problems is based on iterations between local model identification and calibration parameter (set-points and actuator settings) improvements based on the learned surrogate model. Several approaches to algorithm implementation are considered. In the first approach, the surrogate model is defined in a linear incremental form and its identification reduces to Jacobian Learning. Then quadratic programming is applied to adjust the calibration parameters. In the second approach, we consider a predictor-corrector algorithm that estimates the change in the minimizer based on changing operating conditions before correcting it. Case studies are described that illustrate the applications of algorithms. © Springer International Publishing Switzerland 2014.

关键词： Calibration

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Applications of Computational Optimal control to Vehicle Dynamics

Applications of Computational Optimal Control to Vehicle Dyn...

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Optimization and Optimal control in Automotive Systems: workshop organized by the Austrian Center of Competence in Mechatronics, ACCM 2013

作者： Deur, Joško Corić, Mirko Kasać, Josip Assadian, Francis Hrovat, Davor Automotive Control Group University of Zagreb Zagreb Croatia Department of Automotive Engineering Cranfield University Milton Keynes United Kingdom Research and Advanced Engineering Ford Motor Company Dearborn MI United States

ISBN: (纸本)9783319053707

Modern vehicle dynamic control systems are based on new types of actuators, such as active steering and active differentials, in order to improve the overall handling performance including stability, responsiveness, and agility. Numerical techniques of off-line optimization of vehicle dynamics control variables can conveniently be used to facilitate decisions on optimal actuator configurations and provide guidance for design of realistic, on-line controllers. This chapter overviews the previous authors' results of assessment of various vehicle dynamics actuator configurations based on application of a back propagation through time (BPTT) conjugate gradient optimization algorithm. It is then focused on detailed optimization of active front and rear steering control variables for various maneuvers and design specifications, where a nonlinear programming-based optimization tool is used. © Springer International Publishing Switzerland 2014.

关键词： Nonlinear programming

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Cloud aided semi-active suspension control

Cloud aided semi-active suspension control

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IEEE Symposium on Computational Intelligence in Vehicles and Transportation Systems (CIVTS)

作者： Zhaojian Li Ilya Kolmanovsky Ella Atkins Jianbo Lu Dimitar Filev John Michelini Department of Aerospace Engineering The University of Michigan Ann Arbor USA Research & Advanced Engineering Ford Motor Company Dearborn MI USA

This paper considers the problem of vehicle suspension control from the perspective of a Vehicle-to-Cloud-to-Vehicle (V2C2V) distributed implementation. A simplified variant of the problem is examined based on the linear quarter-car model of semi-active suspension dynamics. Road disturbance is modeled as a combination of a known road profile, an unmeasured stochastic road profile and potholes. Suspension response when the vehicle hits the pothole is modeled as an impulsive change in wheel velocity with magnitude linked to physical characteristics of the pothole and of the vehicle. The problem of selecting the optimal damping mode from a finite set of damping modes is considered, based on road profile data. The information flow and V2C2V implementation are defined based on partitioning the computations and data between the vehicle and the cloud. A simulation example is presented.

关键词： Vehicles Roads Suspensions Wheels Damping Stochastic processes Tires

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