Please use this identifier to cite or link to this item: http://dx.doi.org/10.14279/depositonce-5695
Main Title: Integrated traction control strategy for distributed drive electric vehicles with improvement of economy and longitudinal driving stability
Author(s): Zhang, Xudong
Göhlich, Dietmar
Type: Article
Language Code: en
Abstract: This paper presents an integrated traction control strategy (ITCS) for distributed drive electric vehicles. The purpose of the proposed strategy is to improve vehicle economy and longitudinal driving stability. On high adhesion roads, economy optimization algorithm is applied to maximize motors efficiency by means of the optimized torque distribution. On low adhesion roads, a sliding mode control (SMC) algorithm is implemented to guarantee the wheel slip ratio around the optimal slip ratio point to make full use of road adhesion capacity. In order to avoid the disturbance on slip ratio calculation due to the low vehicle speed, wheel rotational speed is taken as the control variable. Since the optimal slip ratio varies according to different road conditions, Bayesian hypothesis selection is utilized to estimate the road friction coefficient. Additionally, the ITCS is designed for combining the vehicle economy and stability control through three traction allocation cases: economy-based traction allocation, pedal self-correcting traction allocation and inter-axles traction allocation. Finally, simulations are conducted in CarSim and Matlab/Simulink environment. The results show that the proposed strategy effectively reduces vehicle energy consumption, suppresses wheels-skid and enhances the vehicle longitudinal stability and dynamic performance.
URI: http://depositonce.tu-berlin.de/handle/11303/6120
http://dx.doi.org/10.14279/depositonce-5695
Issue Date: 19-Jan-2017
Date Available: 24-Jan-2017
DDC Class: DDC::600 Technik, Medizin, angewandte Wissenschaften::620 Ingenieurwissenschaften::620 Ingenieurwissenschaften und zugeordnete Tätigkeiten
Subject(s): traction control
longitudinal dynamics
electric vehicle
slip ratio control
vehicle economy
Sponsor/Funder: DFG, TH 662/19-1, Open Access Publizieren 2017 - 2018 / Technische Universität Berlin
Creative Commons License: https://creativecommons.org/licenses/by/4.0/
Journal Title: Energies
Publisher: MDPI
Publisher Place: Basel
Volume: 10
Issue: 1
Article Number: 126
Publisher DOI: 10.3390/en10010126
EISSN: 1996-1073
Appears in Collections:Technische Universität Berlin » Fakultäten & Zentralinstitute » Fakultät 5 Verkehrs- und Maschinensysteme » Institut für Konstruktion, Mikro- und Medizintechnik » Fachgebiet Methoden der Produktentwicklung und Mechatronik » Publications

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