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Analyzing the Improvements of Energy Management Systems for Hybrid Electric Vehicles Using a Systematic Literature Review: How Far Are These Controls from Rule-Based Controls Used in Commercial Vehicles?

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URI: http://hdl.handle.net/10498/24347

DOI: 10.3390/app10238744

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2021_022.pdf (2.274Mb)
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Autor/es
Torreglosa, Juan P.; García Triviño, PabloAutoridad UCA; Vera, David; López-García, Diego A.
Fecha
2020-12
Departamento/s
Ingeniería Eléctrica
Fuente
Appl. Sci. 2020, 10(23), 8744
Resumen
Featured Application This work is useful for researchers interested in the study of energy management systems for hybrid electric vehicles. In addition, it is interesting for institutions related to the market of this type of vehicle. The hybridization of vehicles is a viable step toward overcoming the challenge of the reduction of emissions related to road transport all over the world. To take advantage of the emission reduction potential of hybrid electric vehicles (HEVs), the appropriate design of their energy management systems (EMSs) to control the power flow between the engine and the battery is essential. This work presents a systematic literature review (SLR) of the more recent works that developed EMSs for HEVs. The review is carried out subject to the following idea: although the development of novel EMSs that seek the optimum performance of HEVs is booming, in the real world, HEVs continue to rely on well-known rule-based (RB) strategies. The contribution of this work is to present a quantitative comparison of the works selected. Since several studies do not provide results of their models against commercial RB strategies, it is proposed, as another contribution, to complete their results using simulations. From these results, it is concluded that the improvement of the analyzed EMSs ranges roughly between 5% and 10% with regard to commercial RB EMSs; in comparison to the optimum, the analyzed EMSs are nearer to the optimum than commercial RB EMSs.
Materias
energy management systems; hybrid electric vehicles; plug-in hybrid electric vehicles; control strategy; hybrid electric vehicle energy management; online control; real-time control
Colecciones
  • Artículos Científicos [11595]
  • Articulos Científicos Ing. Elec. [76]
Atribución 4.0 Internacional
Esta obra está bajo una Licencia Creative Commons Atribución 4.0 Internacional

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