Predictive control of commercial e-vehicle using a priori route information
The result's identifiers
Result code in 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>
Result on the web
—
DOI - Digital Object Identifier
—
Alternative languages
Result language
angličtina
Original language name
Predictive control of commercial e-vehicle using a priori route information
Original language description
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.
Czech name
—
Czech description
—
Classification
Type
O - Miscellaneous
CEP classification
JO - Land transport systems and equipment
OECD FORD branch
—
Result continuities
Project
<a href="/en/project/LO1311" target="_blank" >LO1311: Development of Vehicle Centre of Sustainable Mobility</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů