Parallel Hybrid Electric Vehicle Modelling and Model Predictive Control

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F46747885%3A24210%2F21%3A00009030" target="_blank" >RIV/46747885:24210/21:00009030 - isvavai.cz</a>

Alternative codes found

RIV/46747885:24220/21:00009030 RIV/46747885:24620/21:00009030

Result on the web

<a href="https://www.mdpi.com/2076-3417/11/22/10668" target="_blank" >https://www.mdpi.com/2076-3417/11/22/10668</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.3390/app112210668" target="_blank" >10.3390/app112210668</a>

Result language

angličtina

Original language name

Parallel Hybrid Electric Vehicle Modelling and Model Predictive Control

Original language description

This paper presents the modelling and calculations for a hybrid electric vehicle (HEV) in parallel configuration, including a main electrical driving motor (EM), an internal combustion engine (ICE), and a starter/generator motor. The modelling equations of the HEV include vehicle acceleration and jerk, so that simulations can investigate the vehicle drivability and comfortability with different control parameters. A model predictive control (MPC) scheme with softened constraints for this HEV is developed. The new MPC with softened constraints shows its superiority over the MPC with hard constraints as it provides a faster setpoint tracking and smoother clutch engagement. The conversion of some hard constraints into softened constraints can improve the MPC stability and robustness. The MPC with softened constraints can maintain the system stability, while the MPC with hard constraints becomes unstable if some input constraints lead to the violation of output constraints.

Czech name

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Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

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OECD FORD branch

21100 - Other engineering and technologies

Project

<a href="/en/project/EF16_025%2F0007293" target="_blank" >EF16_025/0007293: Modular platform for autonomous chassis of specialized electric vehicles for freight and equipment transportation</a><br>

Continuities

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

Publication year

2021

Confidentiality

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

Name of the periodical

Applied Sciences

ISSN

2076-3417

e-ISSN

—

Volume of the periodical

11

Issue of the periodical within the volume

22

Country of publishing house

CH - SWITZERLAND

Number of pages

18

Pages from-to

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UT code for WoS article

000727424000001

EID of the result in the Scopus database

2-s2.0-85119288832