Real-Time Energy Management Algorithm for Mitigation of Pulse Loads in Hybrid Microgrids

2012 ◽  
Vol 3 (4) ◽  
pp. 1911-1922 ◽  
Author(s):  
Ahmed Mohamed ◽  
Vahid Salehi ◽  
Osama Mohammed
Keyword(s):  
Real Time ◽  
Energy Management ◽  
Management Algorithm

scholarly journals Platform-aware bandwidth-oriented energy management algorithm for real-time embedded systems

ETFA2011 ◽  
2011 ◽  
Author(s):  
Mauro Marinoni ◽  
Mario Bambagini ◽  
Francesco Prosperi ◽  
Francesco Esposito ◽  
Gianluca Franchino ◽  
...  
Keyword(s):  
Embedded Systems ◽  
Real Time ◽  
Energy Management ◽  
Management Algorithm ◽  
Oriented Energy

Peak-Power-Aware Energy Management for Periodic Real-Time Applications

2020 ◽  
Vol 39 (4) ◽  
pp. 779-788 ◽  
Author(s):  
Mohsen Ansari ◽  
Amir Yeganeh-Khaksar ◽  
Sepideh Safari ◽  
Alireza Ejlali
Keyword(s):  
Real Time ◽  
Energy Management ◽  
Peak Power ◽  
Real Time Applications

scholarly journals Real-Time Energy Management of Parallel Hybrid Electric Vehicles Using Linear Quadratic Regulation

Energies ◽  
2020 ◽  
Vol 13 (21) ◽  
pp. 5538
Author(s):  
Bảo-Huy Nguyễn ◽  
João Pedro F. Trovão ◽  
Ronan German ◽  
Alain Bouscayrol
Keyword(s):  
Real Time ◽  
Energy Management ◽  
Electric Vehicles ◽  
Hybrid Electric Vehicles ◽  
Engine Fuel ◽  
Linear Quadratic ◽  
Loop Control ◽  
Parallel Hybrid ◽  
Linear Quadratic Regulation ◽  
Hybrid Electric

Optimization-based methods are of interest for developing energy management strategies due to their high performance for hybrid electric vehicles. However, these methods are often complicated and may require strong computational efforts, which can prevent them from real-world applications. This paper proposes a novel real-time optimization-based torque distribution strategy for a parallel hybrid truck. The strategy aims to minimize the engine fuel consumption while ensuring battery charge-sustaining by using linear quadratic regulation in a closed-loop control scheme. Furthermore, by reformulating the problem, the obtained strategy does not require the information of the engine efficiency map like the previous works in literature. The obtained strategy is simple, straightforward, and therefore easy to be implemented in real-time platforms. The proposed method is evaluated via simulation by comparison to dynamic programming as a benchmark. Furthermore, the real-time ability of the proposed strategy is experimentally validated by using power hardware-in-the-loop simulation.

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