Model-Based Assessment of Hybrid Powertrain Solutions

Author(s):  
Oliver Dingel ◽  
Joerg Ross PhD ◽  
Igor Trivic ◽  
Nicolo Cavina ◽  
Mauro Rioli
Author(s):  
Yu Wang ◽  
Zongxuan Sun ◽  
Kim A. Stelson

With its superior power to weight ratio, the hydrostatic dynamometer is an ideal candidate for transient engine or powertrain testing. Given its high bandwidth, the hydrostatic dynamometer can be further used as a virtual power source to emulate the dynamics of the automotive hybrid power sources. This will greatly expedite the investigation of various hybrid powertrain architectures and control methodologies without building the complete hybrid system. This paper presents the design, modeling, nonlinear tracking control and experimental investigation of a transient hydrostatic dynamometer. An electronically controlled load sensing mechanism is employed to facilitate the supply pressure control, and a two-stage high bandwidth valve is used as the primary actuator for the loading pressure control. To enable the model-based control, a 9th order physics-based model is formulated and then, identified and validated with experimental data. On this basis, model-based nonlinear tracking controls are designed for this multivariable nonlinear system to realize the precise engine speed tracking. A nonlinear model-based inversion plus PID control is first implemented and then, a state feedback control via feedback linearization is designed for reference tracking. Experimental results demonstrate precise tracking performance with less than 5% tracking error for both transient and steady state operations.


2020 ◽  
Author(s):  
Kristina Kuwabara ◽  
Jacqueline Karl-DeFrain ◽  
Shawn Midlam-Mohler ◽  
Mahaveer Kantilal Satra ◽  
Akshra Narasimhan Ramakrishnan

2014 ◽  
Author(s):  
Ashish Vora ◽  
Haotian Wu ◽  
Chuang Wang ◽  
Yili Qian ◽  
Gregory Shaver ◽  
...  

2020 ◽  
Vol 43 ◽  
Author(s):  
Peter Dayan

Abstract Bayesian decision theory provides a simple formal elucidation of some of the ways that representation and representational abstraction are involved with, and exploit, both prediction and its rather distant cousin, predictive coding. Both model-free and model-based methods are involved.


2001 ◽  
Vol 7 (S2) ◽  
pp. 578-579
Author(s):  
David W. Knowles ◽  
Sophie A. Lelièvre ◽  
Carlos Ortiz de Solόrzano ◽  
Stephen J. Lockett ◽  
Mina J. Bissell ◽  
...  

The extracellular matrix (ECM) plays a critical role in directing cell behaviour and morphogenesis by regulating gene expression and nuclear organization. Using non-malignant (S1) human mammary epithelial cells (HMECs), it was previously shown that ECM-induced morphogenesis is accompanied by the redistribution of nuclear mitotic apparatus (NuMA) protein from a diffuse pattern in proliferating cells, to a multi-focal pattern as HMECs growth arrested and completed morphogenesis . A process taking 10 to 14 days.To further investigate the link between NuMA distribution and the growth stage of HMECs, we have investigated the distribution of NuMA in non-malignant S1 cells and their malignant, T4, counter-part using a novel model-based image analysis technique. This technique, based on a multi-scale Gaussian blur analysis (Figure 1), quantifies the size of punctate features in an image. Cells were cultured in the presence and absence of a reconstituted basement membrane (rBM) and imaged in 3D using confocal microscopy, for fluorescently labeled monoclonal antibodies to NuMA (fαNuMA) and fluorescently labeled total DNA.


Author(s):  
Charles Bouveyron ◽  
Gilles Celeux ◽  
T. Brendan Murphy ◽  
Adrian E. Raftery

Author(s):  
Jonathan Jacky ◽  
Margus Veanes ◽  
Colin Campbell ◽  
Wolfram Schulte
Keyword(s):  

2008 ◽  
Author(s):  
Ryan K. Jessup ◽  
Jerome R. Busemeyer ◽  
Joshua W. Brown

Sign in / Sign up

Export Citation Format

Share Document