Regenerative braking control algorithm using the accelerator pedal
Modern manufacturers of electric vehicles everywhere introduce regenerative braking control using the accelerator pedal. One of the difficulties in implementing regenerative braking is the interaction of the service braking system and the auxiliary one using a traction motor. In this regard, the con...
Main Authors: | , , |
---|---|
Format: | Article |
Language: | deu |
Published: |
Academician I.G. Petrovskii Bryansk State University
2023-03-01
|
Series: | Naučno-Tehničeskij Vestnik Brânskogo Gosudarstvennogo Universiteta |
Subjects: | |
Online Access: | https://ntv-brgu.ru/wp-content/arhiv/2022-N4/2022-04-02.pdf |
_version_ | 1797857578636541952 |
---|---|
author | Butarovich D.O. Skotnikov G.I. Eranosyan A.V. |
author_facet | Butarovich D.O. Skotnikov G.I. Eranosyan A.V. |
author_sort | Butarovich D.O. |
collection | DOAJ |
description | Modern manufacturers of electric vehicles everywhere introduce regenerative braking control using the accelerator pedal. One of the difficulties in implementing regenerative braking is the interaction of the service braking system and the auxiliary one using a traction motor. In this regard, the concept of regenerative braking control with one pedal – the accelerator pedal. Currently, a similar concept is presented on many modern electric cars, such as the Tesla Model S, Tesla Model X, Hyundai Kona. The aim of study is the creation and subsequent debugging of an algorithm for controlling regenerative braking using the accelerator pedal in relation to urban public electric transport. The developed algorithm is implemented in the MATLAB/Simulink simulation environment. Using the available blocks and subsystems, a mathematical model of the movement of an electric vehicle has been compiled. A mathematical model of the movement of electric vehicle has been developed that allows testing and debugging of the algorithms being developed. Simulation methods have confirmed the operability of the proposed method of regenerative braking control by the accelerator pedal. The scientific novelty of the research lies in the synthesis of an algorithm for controlling regenerative braking in relation to the operation of public electric transport in an urban environment with frequent stops, traffic on roads with slopes and starting to climb. The practical utility (value) of this research lies in the possibility of using the proposed control algorithm in urban public electric transport with on-board energy storage, for example, in electric buses. |
first_indexed | 2024-04-09T20:59:03Z |
format | Article |
id | doaj.art-c88f17e6a6fc4291a53b37523c742c31 |
institution | Directory Open Access Journal |
issn | 2413-9920 |
language | deu |
last_indexed | 2024-04-09T20:59:03Z |
publishDate | 2023-03-01 |
publisher | Academician I.G. Petrovskii Bryansk State University |
record_format | Article |
series | Naučno-Tehničeskij Vestnik Brânskogo Gosudarstvennogo Universiteta |
spelling | doaj.art-c88f17e6a6fc4291a53b37523c742c312023-03-29T13:00:31ZdeuAcademician I.G. Petrovskii Bryansk State UniversityNaučno-Tehničeskij Vestnik Brânskogo Gosudarstvennogo Universiteta2413-99202023-03-018427528110.22281/2413-9920-2022-08-04-275-281Regenerative braking control algorithm using the accelerator pedalButarovich D.O.0Skotnikov G.I.1 Eranosyan A.V.2Bauman Moscow State Technical UniversityBauman Moscow State Technical UniversityBauman Moscow State Technical UniversityModern manufacturers of electric vehicles everywhere introduce regenerative braking control using the accelerator pedal. One of the difficulties in implementing regenerative braking is the interaction of the service braking system and the auxiliary one using a traction motor. In this regard, the concept of regenerative braking control with one pedal – the accelerator pedal. Currently, a similar concept is presented on many modern electric cars, such as the Tesla Model S, Tesla Model X, Hyundai Kona. The aim of study is the creation and subsequent debugging of an algorithm for controlling regenerative braking using the accelerator pedal in relation to urban public electric transport. The developed algorithm is implemented in the MATLAB/Simulink simulation environment. Using the available blocks and subsystems, a mathematical model of the movement of an electric vehicle has been compiled. A mathematical model of the movement of electric vehicle has been developed that allows testing and debugging of the algorithms being developed. Simulation methods have confirmed the operability of the proposed method of regenerative braking control by the accelerator pedal. The scientific novelty of the research lies in the synthesis of an algorithm for controlling regenerative braking in relation to the operation of public electric transport in an urban environment with frequent stops, traffic on roads with slopes and starting to climb. The practical utility (value) of this research lies in the possibility of using the proposed control algorithm in urban public electric transport with on-board energy storage, for example, in electric buses.https://ntv-brgu.ru/wp-content/arhiv/2022-N4/2022-04-02.pdfaccelerator pedalcontrol systemelectric bustraction motorelectric drive. |
spellingShingle | Butarovich D.O. Skotnikov G.I. Eranosyan A.V. Regenerative braking control algorithm using the accelerator pedal Naučno-Tehničeskij Vestnik Brânskogo Gosudarstvennogo Universiteta accelerator pedal control system electric bus traction motor electric drive. |
title | Regenerative braking control algorithm using the accelerator pedal |
title_full | Regenerative braking control algorithm using the accelerator pedal |
title_fullStr | Regenerative braking control algorithm using the accelerator pedal |
title_full_unstemmed | Regenerative braking control algorithm using the accelerator pedal |
title_short | Regenerative braking control algorithm using the accelerator pedal |
title_sort | regenerative braking control algorithm using the accelerator pedal |
topic | accelerator pedal control system electric bus traction motor electric drive. |
url | https://ntv-brgu.ru/wp-content/arhiv/2022-N4/2022-04-02.pdf |
work_keys_str_mv | AT butarovichdo regenerativebrakingcontrolalgorithmusingtheacceleratorpedal AT skotnikovgi regenerativebrakingcontrolalgorithmusingtheacceleratorpedal AT eranosyanav regenerativebrakingcontrolalgorithmusingtheacceleratorpedal |