Frequency-separation-based energy management control strategy of power flows within electric vehicles using ultracapacitors

2012 ◽  
Author(s):  
A. Florescu ◽  
S. Bacha ◽  
I. Munteanu ◽  
A.I. Bratcu
Keyword(s):  
Energy Management ◽  
Electric Vehicles ◽  
Control Strategy ◽  
Management Control ◽  
Frequency Separation

Energy management control strategy to improve the FC/SC dynamic behavior on hybrid electric vehicles: A frequency based distribution

2017 ◽  
Vol 105 ◽  
pp. 407-418 ◽  
Author(s):  
Cinda Sandoval ◽  
Victor M. Alvarado ◽  
Jean-Claude Carmona ◽  
Guadalupe Lopez Lopez ◽  
J.F. Gomez-Aguilar
Keyword(s):  
Dynamic Behavior ◽  
Energy Management ◽  
Electric Vehicles ◽  
Control Strategy ◽  
Hybrid Electric Vehicles ◽  
Management Control ◽  
Hybrid Electric

scholarly journals A significant energy management control strategy for a hybrid source EV

2019 ◽  
Vol 9 (6) ◽  
pp. 4580
Author(s):  
A Geetha ◽  
C Subramani
Keyword(s):  
Particle Swarm Optimization ◽  
Electric Vehicle ◽  
Energy Management ◽  
Electric Vehicles ◽  
Control Strategy ◽  
Transportation Problem ◽  
Management Control ◽  
Driving Cycle ◽  
Effective Model ◽  
Swarm Optimization

<p class="Abstract"><span>The conceptualization of Electric vehicles has been significant in solving the pollution due to the transportation problem. However, its design and working has not yet been perfected and can be optimized. An effective model of the electric vehicle is the integration of batteries and supercapacitors. In this paper, the optimal sharing of energy between the battery and the supercapacitor is provided by the Particle Swarm Optimization (PSO). The results reveal that the proposed algorithm can better share the energy between the hybrid sources. The simulations are carried out in MATLAB Simulink platform and the results obtained for ECE-15 driving cycle is presented.</span></p>

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