A Novel All-in-One Real-Time Optimization and Optimal Control Method for Batch Systems: Algorithm Description, Implementation Issues, and Comparison with the Existing Methodologies

2014 ◽  
Vol 53 (40) ◽  
pp. 15639-15655 ◽  
Author(s):  
Francesco Rossi ◽  
Flavio Manenti ◽  
Guido Buzzi-Ferraris
Keyword(s):  
Optimal Control ◽  
Real Time ◽  
Control Method ◽  
Batch Systems ◽  
Time Optimization ◽  
Optimal Control Method ◽  
Real Time Optimization ◽  
Optimization And Optimal Control

Real-Time Implementation of Optimal Energy Management in Hybrid Electric Vehicles: Globally Optimal Control of Acceleration Events

2020 ◽  
Vol 142 (8) ◽  
Author(s):  
Zachary D. Asher ◽  
David A. Trinko ◽  
Joshua D. Payne ◽  
Benjamin M. Geller ◽  
Thomas H. Bradley
Keyword(s):  
Optimal Control ◽  
Real Time ◽  
Fuel Economy ◽  
Control Strategy ◽  
Limited Information ◽  
Optimal Control Strategy ◽  
Time Optimization ◽  
Vehicle Operation ◽  
Operation Knowledge ◽  
Real Time Optimization

Abstract Widely published research shows that significant fuel economy improvements through optimal control of a vehicle powertrain are possible if the future vehicle velocity is known and real-time optimization calculations can be performed. In this research, however, we seek to advance the field of optimal powertrain control by limiting future vehicle operation knowledge and using no real-time optimization calculations. We have realized optimal control of acceleration events (AEs) in real-time by studying optimal control trends across 384 real world drive cycles and deriving an optimal control strategy for specific acceleration event categories using dynamic programming (DP). This optimal control strategy is then applied to all other acceleration events in its category, as well as separate standard and custom drive cycles using a look-up table. Fuel economy improvements of 2% average for acceleration events and 3.9% for an independent drive cycle were observed when compared to our rigorously validated 2010 Toyota Prius model. Our conclusion is that optimal control can be implemented in real-time using standard vehicle controllers assuming extremely limited information about future vehicle operation is known such as an approximate starting and ending velocity for an acceleration event.

An optimal control method for real-time irrigation scheduling

1990 ◽  
Vol 26 (4) ◽  
pp. 647-669 ◽  
Author(s):  
Angelos L. Protopapas ◽  
Aris P. Georgakakos
Keyword(s):  
Optimal Control ◽  
Real Time ◽  
Control Method ◽  
Irrigation Scheduling ◽  
Optimal Control Method
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