LAPSE:2019.0785
Published Article
LAPSE:2019.0785
Integrated Traction Control Strategy for Distributed Drive Electric Vehicles with Improvement of Economy and Longitudinal Driving Stability
July 26, 2019
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.
Record ID
Keywords
electric vehicle, longitudinal dynamics, slip ratio control, traction control, vehicle economy
Subject
Suggested Citation
Zhang X, Göhlich D. Integrated Traction Control Strategy for Distributed Drive Electric Vehicles with Improvement of Economy and Longitudinal Driving Stability. (2019). LAPSE:2019.0785
Author Affiliations
Zhang X: Methods for Product Development and Mechatronics, Technical University of Berlin, 10623 Berlin, Germany
Göhlich D: Methods for Product Development and Mechatronics, Technical University of Berlin, 10623 Berlin, Germany
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Göhlich D: Methods for Product Development and Mechatronics, Technical University of Berlin, 10623 Berlin, Germany
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Journal Name
Energies
Volume
10
Issue
1
Article Number
E126
Year
2017
Publication Date
2017-01-19
Published Version
ISSN
1996-1073
Version Comments
Original Submission
Other Meta
PII: en10010126, Publication Type: Journal Article
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Published Article
LAPSE:2019.0785
This Record
External Link
doi:10.3390/en10010126
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Version History
[v1] (Original Submission)
Jul 26, 2019
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Jul 26, 2019
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v1
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URL Here
https://psecommunity.org/LAPSE:2019.0785
Original Submitter
Calvin Tsay
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