Analytical Calibration of Map-Based Energy Managements of Parallel Hybrid Vehicles

Author(s):  
Thomas Juergen Boehme ◽  
Markus Schori ◽  
Heiko Rabba ◽  
Matthias Schultalbers

2014 ◽  
Vol 47 (3) ◽  
pp. 2118-2124 ◽  
Author(s):  
C. Pisanti ◽  
G. Rizzo ◽  
V. Marano


Author(s):  
Tim Lambert ◽  
Mohammad Biglarbegian ◽  
Shohel Mahmud

This paper presents the development of a novel intelligent controller that improves fuel efficiency in parallel hybrid vehicles. The complexity of parallel hybrid vehicle models makes development of classical controllers which optimize energy usage extremely difficult. Therefore, we introduce a fuzzy controller that uses four inputs: battery state-of-charge, fuel tank fill quotient, vehicle distance-to-goal and driver power demand. The outputs of the controller are on/off states of the battery power supply, generator, and engine. The controller uses these outputs in a hierarchical power distribution scheme that prioritizes the delivery of power by the most efficient drive mechanism. Simulation results show that the controller increases battery usage up to 20% while decreasing fuel consumption. To verify the robustness of the proposed system, white noise is injected to the controller. The results prove that the system is robust to perturbations.



2013 ◽  
Vol 46 (21) ◽  
pp. 127-132 ◽  
Author(s):  
Chris Manzie ◽  
Olivier Grondin ◽  
Antonio Sciarretta ◽  
Gianluca Zito


2016 ◽  
Vol 4 ◽  
pp. 1-7 ◽  
Author(s):  
Hao Ran Chi ◽  
Kim Fung Tsang ◽  
Chung Kit Wu ◽  
Faan Hei Hung ◽  
Gong-sheng Huang


2012 ◽  
Vol 49 ◽  
pp. 157-176 ◽  
Author(s):  
Ettore Pennestrì ◽  
Lorenzo Mariti ◽  
Pier Paolo Valentini ◽  
Victor H. Mucino






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