Predictive control of commercial e-vehicle using a priori route information

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21220%2F16%3A00306227" target="_blank" >RIV/68407700:21220/16:00306227 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Predictive control of commercial e-vehicle using a priori route information

Popis výsledku v původním jazyce

The range of the vehicle is usually an issue due to the quite limited energy storage capacity of the acu-pack. Thus the e-vehicle control towards energy consumption decrease is of extreme importance. The known information about route properties can be used to plan torque/braking profile in optimal way. Several approaches are compared. The first is design approach based on model predictive control (MPC) in combination with prior (before the trip starts) dynamic optimization, the other is model predictive control using hard limits based on route shape analyses and legal limits. The classical optimized PID control is used as reference driver. A detailed range estimation model of a Fiat Doblo e-vehicle is basis, including main e-vehicle subsystem 1D model, e-motor, battery pack, air-conditioning/heating and EVCU. The model is calibrated based on real vehicle measurement.

Název v anglickém jazyce

Predictive control of commercial e-vehicle using a priori route information

Popis výsledku anglicky

The range of the vehicle is usually an issue due to the quite limited energy storage capacity of the acu-pack. Thus the e-vehicle control towards energy consumption decrease is of extreme importance. The known information about route properties can be used to plan torque/braking profile in optimal way. Several approaches are compared. The first is design approach based on model predictive control (MPC) in combination with prior (before the trip starts) dynamic optimization, the other is model predictive control using hard limits based on route shape analyses and legal limits. The classical optimized PID control is used as reference driver. A detailed range estimation model of a Fiat Doblo e-vehicle is basis, including main e-vehicle subsystem 1D model, e-motor, battery pack, air-conditioning/heating and EVCU. The model is calibrated based on real vehicle measurement.

Druh

O - Ostatní výsledky

CEP obor

JO - Pozemní dopravní systémy a zařízení

OECD FORD obor

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Projekt

<a href="/cs/project/LO1311" target="_blank" >LO1311: Rozvoj Centra vozidel udržitelné mobility</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2016

Kód důvěrnosti údajů

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