Vehicle dynamics control with energy recuperation based on control allocation for independent wheel motors and brake system
This work proposes an optimal control allocation method for the brake system and the wheel motors of an electric vehicle. The realization of the method is proposed for vehicle dynamics control and energy recuperation. The control allocation takes into account temperature of electric motors, SOC (state-of-the-charge) and voltage of battery, vehicle velocity, fault situations, wheel slip, and vehicle subsystem prioritization depending on parameters of vehicle dynamics. To illustrate the functional properties of the control allocation method, the corresponding simulation study is performed for the straight–line braking and 'sine with dwell' cornering. The simulations use a number of mathematical models including the 14 DoF (degrees of freedom) model of vehicle motion and the models of electric vehicle systems. The simulation results confirmed effectiveness of the proposed approach both for regenerative braking and vehicle stability.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/17424267
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Supplemental Notes:
- © 2013 Inderscience Enterprises Ltd.
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Authors:
- Shyrokau, Barys
- Wang, Danwei
- Savitski, Dzmitry
- Ivanov, Valentin
- Publication Date: 2013
Language
- English
Media Info
- Media Type: Digital/other
- Features: Appendices; Figures; References; Tables;
- Pagination: pp 153-181
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Serial:
- International Journal of Powertrains
- Volume: 2
- Issue Number: 2-3
- Publisher: Inderscience Enterprises Limited
- ISSN: 1742-4267
- EISSN: 1742-4275
- Serial URL: http://inderscience.metapress.com/content/122352
Subject/Index Terms
- TRT Terms: Brakes; Control systems; Degrees of freedom; Electric batteries; Electric vehicles; Energy; Motors; Power trains; Simulation; Vehicle dynamics
- Subject Areas: Highways; Vehicles and Equipment; I90: Vehicles;
Filing Info
- Accession Number: 01493461
- Record Type: Publication
- Files: TRIS
- Created Date: Sep 9 2013 11:30AM