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OPTIMIZATION TOOL FOR HYBRID VEHICLES

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21220%2F18%3A00328921" target="_blank" >RIV/68407700:21220/18:00328921 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    OPTIMIZATION TOOL FOR HYBRID VEHICLES

  • Original language description

    The paper describes fast model of a parallel hybrid vehicle and optimization algorithm for the best carbon dioxide emissions, which finds the local optimum splitting of power between an engine and a motor/generator. It applies the numerical solution for finding the optimum of energy consumption, described by a regression powertrain efficiency model. It takes into account the efficiency of stored electric energy use in a motor during the relevant rest of trip by iterative way. The model limits number of optimization variables by semi-heuristic algorithm of speed schedule in a route section. Then, the eco-driving optimization can be done by genetic algorithm. Currently, the model describes single-accumulator parallel or serial hybrids including differential power splitter, but it can be extended to all hybrid layouts.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    20303 - Thermodynamics

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2018

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Scientific Proceeding KOKA 2018

  • ISBN

    978-80-552-1880-9

  • ISSN

  • e-ISSN

  • Number of pages

    17

  • Pages from-to

    4-20

  • Publisher name

    SPU Nitra

  • Place of publication

    Nitra

  • Event location

    Nitrianske Rudno

  • Event date

    Sep 19, 2018

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article