Fuzzy Control and Rule-Based Control for Energy Management in Hybrid Vehicles
Vol 29 No 127 (2025), Papers
Vol 29 No 127 (2025)

Fuzzy Control and Rule-Based Control for Energy Management in Hybrid Vehicles

Papers
https://doi.org/10.47460/uct.v29i127.971
Published June 28, 2025
Jose Efren Barbosa Galarza
Universidad Tecnica de Cotopaxi. Latacunga, Ecuador.
https://orcid.org/0009-0009-4706-4697
Jose Efren Barbosa Costales
Universidad Tecnica de Renania. Palatinado de Kaiserslautern-Landau. Kaiserslautern, Alemania.
https://orcid.org/0009-0008-3307-4467
Daniel Gomez Munoz
Universidad Tecnica de Renania. Palatinado de Kaiserslautern-Landau. Kaiserslautern, Alemania.
https://orcid.org/0009-0007-6886-0049
Obaidullah Yadgar
Universidad Tecnica de Renania. Palatinado de Kaiserslautern-Landau. Kaiserslautern, Alemania.
https://orcid.org/0009-0002-2857-8165
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Keywords

energy management
hybrid vehicles
fuzzy control
rule-based control

How to Cite

Barbosa Galarza, J. E., Barbosa Costales, J. E., Vejarano Jara, P. A., & Yadgar, O. (2025). Fuzzy Control and Rule-Based Control for Energy Management in Hybrid Vehicles. Universidad Ciencia Y Tecnología, 29(127), 129-139. https://doi.org/10.47460/uct.v29i127.971
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Abstract

This paper presents the design and simulation of fuzzy control and rule-based control for energy management in a parallel mild hybrid electric vehicle. The management system must minimize fuel consumption while ensuring load maintenance and ensuring component limitations. Equivalent fuel consumption is used to evaluate control performance, which penalizes the battery's use of electrical energy and fuel consumption but does not reward the storage of electrical energy in the battery. The presented model was tested in two different driving cycles, Europe: NEDC and USA: FTP-75 with an efficiency of 17.6% and 18.3% respectively. However, this result could be improved with more in-depth testing and error estimation, as well as more advanced simulations. In addition, more rules can be added to the proposed model, giving this approach scalable functionality.

https://doi.org/10.47460/uct.v29i127.971
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References

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