Advanced methodology for the optimal sizing of the energy storage system in a hybrid electric refuse collector vehicle using real routes
This paper presents a new methodology for optimal sizing of the energy storage system ( ESS ), with the aim of being used in the design process of a hybrid electric (HE) refuse collector vehicle ( RCV ). This methodology has, as the main element, to model a multi-objective optimisation problem that...
| Autores: | , , |
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| Tipo de recurso: | artículo |
| Fecha de publicación: | 2018 |
| País: | España |
| Institución: | Universitat Politècnica de Catalunya (UPC) |
| Repositorio: | UPCommons. Portal del coneixement obert de la UPC |
| Idioma: | inglés |
| OAI Identifier: | oai:upcommons.upc.edu:2117/130630 |
| Acceso en línea: | https://hdl.handle.net/2117/130630 https://dx.doi.org/10.3390/en11123279 |
| Access Level: | acceso abierto |
| Palabra clave: | Energy storage Hybrid electric cars. Hybrid electric vehicles Vehicles elèctrics Energia -- Emmagatzematge Vehicles elèctrics híbrids Àrees temàtiques de la UPC::Energies::Tecnologia energètica::Emmagatzematge i transport de l'energia |
| Sumario: | This paper presents a new methodology for optimal sizing of the energy storage system ( ESS ), with the aim of being used in the design process of a hybrid electric (HE) refuse collector vehicle ( RCV ). This methodology has, as the main element, to model a multi-objective optimisation problem that considers the specific energy of a basic cell of lithium polymer ( Li – Po ) battery and the cost of manufacture. Furthermore, optimal space solutions are determined from a multi-objective genetic algorithm that considers linear inequalities and limits in the decision variables. Subsequently, it is proposed to employ optimal space solutions for sizing the energy storage system, based on the energy required by the drive cycle of a conventional refuse collector vehicle. In addition, it is proposed to discard elements of optimal space solutions for sizing the energy storage system so as to achieve the highest fuel economy in the hybrid electric refuse collector vehicle design phase. |
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