Fuzzy Gradient Control of Electric Vehicles at Blended Braking with Volatile Driving Conditions

Valery Vodovozov, Eduard Petlenkov, Andrei Aksjonov, Zoja Raud

2020

Abstract

The paper is devoted to intelligent control of road electric vehicles aiming at reducing energy losses caused by traffic jams, changing velocity, and frequent start-stop modes of driving. A blended braking system is described that integrates both the friction and the electric braking strengths in volatile driving conditions, including gradual and emergency antilock braking. The vehicle model reflects multiple factors, such as air resistance, road slope, and variable friction factor. A new gradient control method recognizes unstable tire properties on changing road surfaces at different velocities. In the motor and battery model, the state of charge and electric current/voltage restrictions of the hybrid energy storage are taken into account. The braking torque, actuated by the Mamdani’s fuzzy logic controller established in the Simulink® environment, is allocated between the front and rear friction and electric brakes. Comparison of simulation and experimental results confirms that the outcomes of this research can be considered in the design of braking systems for electric vehicles with superior energy recovery.

Paper Citation

in Harvard Style

Vodovozov V., Petlenkov E., Aksjonov A. and Raud Z. (2020). Fuzzy Gradient Control of Electric Vehicles at Blended Braking with Volatile Driving Conditions.In Proceedings of the 17th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO, ISBN 978-989-758-442-8, pages 250-261. DOI: 10.5220/0009777602500261

in Bibtex Style

@conference{icinco20,
author={Valery Vodovozov and Eduard Petlenkov and Andrei Aksjonov and Zoja Raud},
title={Fuzzy Gradient Control of Electric Vehicles at Blended Braking with Volatile Driving Conditions},
booktitle={Proceedings of the 17th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,},
year={2020},
pages={250-261},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009777602500261},
isbn={978-989-758-442-8},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 17th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,
TI - Fuzzy Gradient Control of Electric Vehicles at Blended Braking with Volatile Driving Conditions
SN - 978-989-758-442-8
AU - Vodovozov V.
AU - Petlenkov E.
AU - Aksjonov A.
AU - Raud Z.
PY - 2020
SP - 250
EP - 261
DO - 10.5220/0009777602500261