A novel rule‐based computational strategy for a fast and reliable energy management in isolated microgrids

2021 ◽  
Author(s):  
Dany Mauricio Lopez‐Santiago ◽  
Eduardo Caicedo Bravo ◽  
Guillermo Jiménez‐Estévez ◽  
Felipe Valencia ◽  
Patricio Mendoza‐Araya ◽  
...  
Keyword(s):  
Energy Management ◽  
Rule Based ◽  
Computational Strategy

Rule-based energy management strategies for hybrid vehicles

2007 ◽  
Vol 1 (1) ◽  
pp. 71 ◽  
Author(s):  
Theo Hofman ◽  
Maarten Steinbuch ◽  
Roell Van Druten ◽  
Alex Serrarens
Keyword(s):  
Energy Management ◽  
Management Strategies ◽  
Hybrid Vehicles ◽  
Rule Based

Rule-based Energy Management and Reporting System (EMRS) Applied to a Large Utility Power Station Complex

2005 ◽  
Vol 102 (3) ◽  
pp. 43-62
Author(s):  
Dan Bamber ◽  
Ronald L. Childress ◽  
James E. Robinson
Keyword(s):  
Energy Management ◽  
Reporting System ◽  
Power Station ◽  
Rule Based

scholarly journals Adaptive Rule-Based Energy Management Strategy for a Parallel HEV

Energies ◽  
2019 ◽  
Vol 12 (23) ◽  
pp. 4472 ◽  
Author(s):  
Rishikesh Mahesh Bagwe ◽  
Andy Byerly ◽  
Euzeli Cipriano dos Santos ◽  
Ben-Miled
Keyword(s):  
Fuel Consumption ◽  
Energy Management ◽  
Duty Cycle ◽  
Management Strategy ◽  
Hybrid Electric Vehicle ◽  
Detailed Knowledge ◽  
Energy Management Strategy ◽  
Rule Based ◽  
Engine Efficiency ◽  
Efficiency Map

This paper proposes an Adaptive Rule-Based Energy Management Strategy (ARBS EMS) for a parallel hybrid electric vehicle (HEV). The aim of the strategy is to facilitate the aftermarket hybridization of medium- and heavy-duty vehicles. ARBS can be deployed online to optimize fuel consumption without any detailed knowledge of the engine efficiency map of the vehicle or the entire duty cycle. The proposed strategy improves upon the established Preliminary Rule-Based Strategy (PRBS), which has been adopted in commercial vehicles, by dynamically adjusting the regions of operations of the engine and the motor. It prevents the engine from operating in highly inefficient regions while reducing the total equivalent fuel consumption of the vehicle. Using an HEV model developed in Simulink®, both the proposed ARBS and the established PRBS strategies are compared over an extended duty cycle consisting of both urban and highway segments. The results show that ARBS can achieve high MPGe with different thresholds for the boundary between the motor region and the engine region. In contrast, PRBS can achieve high MPGe only if this boundary is carefully established from the engine efficiency map. This difference between the two strategies makes the ARBS particularly suitable for aftermarket hybridization where full knowledge of the engine efficiency map may not be available.

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