Development of a Genetic Algorithm-Based Control Strategy for Fuel Consumption Optimization in a Mild Hybrid Electrified Vehicle’s Electrified Propulsion System

Increasingly stringent pollutant emission regulations and a customer demand for a high-fuel economy drive the modern automotive industry to hurriedly solve the problem of decarbonization and powertrain efficiency, leading R&D towards alternative powertrain solutions and fuels. Electrification, t...

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Veröffentlicht in:	Energies (Basel) Jg. 17; H. 9; S. 2015
Hauptverfasser:	Filho, Roberto H. Q., Ruiz, Rodrigo P. M., Fernandes, Eisenhawer de M., Filho, Rosalvo B., Pimenta, Felipe C.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Basel MDPI AG 01.05.2024
Schlagworte:	Algorithms Automation Automobile industry Calibration Control systems Electric vehicles Energy consumption Energy efficiency Energy management Energy use Ethanol genetic algorithm Genetic algorithms Hybrid vehicles Literature reviews Machine learning Market shares Optimization algorithms Optimization techniques Power Powertrain Software Supply and demand Transportation equipment industry tuning automation/automatic calibration vehicle simulation virtualization Brazil Germany
ISSN:	1996-1073, 1996-1073
Online-Zugang:	Volltext
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