E-vehicle energy consumption optimization based on fleet and infrastructure information

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21220%2F15%3A00232392" target="_blank" >RIV/68407700:21220/15:00232392 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/68407700:21220/15:00233057

Výsledek na webu

<a href="http://mech.fs.cvut.cz" target="_blank" >http://mech.fs.cvut.cz</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-319-23923-1_41" target="_blank" >10.1007/978-3-319-23923-1_41</a>

Jazyk výsledku

angličtina

Název v původním jazyce

E-vehicle energy consumption optimization based on fleet and infrastructure information

Popis výsledku v původním jazyce

Nowadays vehicles, especially the electric ones, are complex mechatronic devices. The pickup vehicles of small sizes are currently used in transport considerably. They often operate within a repeating scheme of a limited variety of tracks and bigger fleets. Thanks to mechatronic design of the vehicles and their components, there are many means of optimizing their performance. The paper shows an approach developed to increase the range of e-vehicle operation substantially. It is based on prior information about the route profile, traffic density, road conditions, past behaviour, mathematical models of the route and vehicle and dynamic optimization. The a-priori knowledge is taken into account.

Název v anglickém jazyce

E-vehicle energy consumption optimization based on fleet and infrastructure information

Popis výsledku anglicky

Nowadays vehicles, especially the electric ones, are complex mechatronic devices. The pickup vehicles of small sizes are currently used in transport considerably. They often operate within a repeating scheme of a limited variety of tracks and bigger fleets. Thanks to mechatronic design of the vehicles and their components, there are many means of optimizing their performance. The paper shows an approach developed to increase the range of e-vehicle operation substantially. It is based on prior information about the route profile, traffic density, road conditions, past behaviour, mathematical models of the route and vehicle and dynamic optimization. The a-priori knowledge is taken into account.

Druh

C - Kapitola v odborné knize

CEP obor

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OECD FORD obor

20301 - Mechanical engineering

Projekt

<a href="/cs/project/TE01020020" target="_blank" >TE01020020: Centrum kompetence automobilového průmyslu Josefa Božka</a><br>

Návaznosti

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

Rok uplatnění

2015

Kód důvěrnosti údajů

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

Název knihy nebo sborníku

Advanced Mechatronics Solutions

ISBN

978-3-319-23921-7

Počet stran výsledku

12

Strana od-do

120-131

Počet stran knihy

668

Název nakladatele

Springer

Místo vydání

Cham

Kód UT WoS kapitoly

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