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%2F18%3A00321010" target="_blank" >RIV/68407700:21220/18:00321010 - isvavai.cz</a>
Result on the web
<a href="http://www.inderscience.com/dev/search/index.php?mainAction=search&action=record&rec_id=90362&prevQuery=&ps=10&m=or" target="_blank" >http://www.inderscience.com/dev/search/index.php?mainAction=search&action=record&rec_id=90362&prevQuery=&ps=10&m=or</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1504/IJPT.2018.10011446" target="_blank" >10.1504/IJPT.2018.10011446</a>
Alternative languages
Result language
angličtina
Original language name
Predictive control of commercial e-vehicle using a priori route information
Original language description
The driving range of the vehicle is usually an issue due to the 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 an 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 optimisation, the other is model-predictive control using hard limits based on route shape analyses and legal limits. The classical, optimised PID control is used as reference driver. A detailed driving range estimation model of a Fiat Doblo e-vehicle is the basis, including the main e-vehicle subsystem 1D model, e-motor, battery pack, air-conditioning/heating and EVCU. The model calibration is based on real vehicle measurements.
Czech name
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Czech description
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Classification
Type
J<sub>ost</sub> - Miscellaneous article in a specialist periodical
CEP classification
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OECD FORD branch
20301 - Mechanical engineering
Result continuities
Project
<a href="/en/project/TE01020020" target="_blank" >TE01020020: Josef Bozek Competence Centre for Automotive Industry</a><br>
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
Name of the periodical
International Journal of Powertrains
ISSN
1742-4275
e-ISSN
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Volume of the periodical
2018
Issue of the periodical within the volume
7
Country of publishing house
GB - UNITED KINGDOM
Number of pages
19
Pages from-to
53-71
UT code for WoS article
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EID of the result in the Scopus database
2-s2.0-85043768016