Development of a SIL, HIL and Vehicle Test-Bench for Model-Based Design and Validation of Hybrid Powertrain Control Strategies

2014 ◽  
Author(s):  
Ashish Vora ◽  
Haotian Wu ◽  
Chuang Wang ◽  
Yili Qian ◽  
Gregory Shaver ◽  
...  
Keyword(s):  
Test Bench ◽  
Control Strategies ◽  
Hybrid Powertrain ◽  
Powertrain Control ◽  
Model Based ◽  
Vehicle Test

scholarly journals The Role of Trip Lengths Calibration in Model-Based Perimeter Control Strategies

2021 ◽  
pp. 1-11
Author(s):  
Sergio F. A. Batista ◽  
Deepak Ingole ◽  
Ludovic Leclercq ◽  
Monica Menendez
Keyword(s):  
Control Strategies ◽  
Model Based

scholarly journals Model-Based and Data-Driven HVAC Control Strategies for Residential Demand Response

2021 ◽  
pp. 1-1
Author(s):  
Xiao Kou ◽  
Yan Du ◽  
Fangxing Li ◽  
Hector Pulgar-Painemal ◽  
Helia Zandi ◽  
...  
Keyword(s):  
Demand Response ◽  
Control Strategies ◽  
Data Driven ◽  
Model Based ◽  
Hvac Control ◽  
Residential Demand

Model-Based Assessment of Hybrid Powertrain Solutions

2011 ◽  
Author(s):  
Oliver Dingel ◽  
Joerg Ross PhD ◽  
Igor Trivic ◽  
Nicolo Cavina ◽  
Mauro Rioli
Keyword(s):  
Hybrid Powertrain ◽  
Model Based

scholarly journals Estimation of Ice Cream Mixture Viscosity during Batch Crystallization in a Scraped Surface Heat Exchanger

Processes ◽  
2020 ◽  
Vol 8 (2) ◽  
pp. 167 ◽  
Author(s):  
Alejandro De la Cruz Martínez ◽  
Rosa E. Delgado Portales ◽  
Jaime D. Pérez Martínez ◽  
José E. González Ramírez ◽  
Alan D. Villalobos Lara ◽  
...  
Keyword(s):  
Mathematical Model ◽  
Control Strategies ◽  
Coupled Model ◽  
Ice Cream ◽  
Surface Heat ◽  
Model Based ◽  
Scraped Surface Heat Exchanger ◽  
Surface Heat Exchanger ◽  
Ice Fraction

Ice cream viscosity is one of the properties that most changes during crystallization in scraped surface heat exchangers (SSHE), and its online measurement is not easy. Its estimation is necessary through variables that are easy to measure. The temperature and power of the stirring motor of the SSHE turn out to be this type of variable and are closely related to the viscosity. Therefore, a mathematical model based on these variables proved to be feasible. The development of this mathematical relationship involved the rheological study of the ice cream base, as well as the application of a method for its in situ melting in the rheometer as a function of the temperature, and the application of a mathematical model correlating the SSHE stirring power and the ice cream viscosity. The result was a coupled model based on both the temperature and stirring power of the SSHE, which allowed for online viscosity estimation with errors below 10% for crystallized systems with a 30% ice fraction at the exit of the SSHE. The model obtained is a first step in the search for control strategies for crystallization in SSHE.

Enabling Self-Managing Applications using Model-based Online Control Strategies

2006 ◽  
Author(s):  
V. Bhat ◽  
M. Parashar ◽  
Hua Liu ◽  
M. Khandekar ◽  
N. Kandasamy ◽  
...  
Keyword(s):  
Control Strategies ◽  
Online Control ◽  
Model Based
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