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Amanda Hyde Thesis2.pdf (2.37 MB)

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Development of a Traction Control System for a Parallel-Series PHEV

Hyde, Amanda N
http://rave.ohiolink.edu/etdc/view?acc_num=osu1397722740

Abstract Details

2014, Master of Science, Ohio State University, Mechanical Engineering.
The work presented in this thesis details the development of a traction control system for a parallel-series plug-in hybrid electric vehicle created by the Ohio State EcoCAR 2 team. The test vehicle is a rebuilt 2013 Chevrolet Malibu features a 1.8L ethanol engine, an 80 kW permanent magnet electric machine, and a 6-speed automated manual transmission to power the front axle while another 80 kW electric machine and a fixed speed gear box power the rear axle. A 340 V lithium ion battery pack acts as the energy storage system for the electric drivetrain components. The front and rear powertrains are not mechanically coupled and thus act independently of one another allowing the vehicle substantial flexibility of three major operating modes to achieve maximum efficiency without sacrificing vehicle range. While the slip detection and traction control algorithms developed in this work were intended specifically for the Ohio State EcoCAR 2 vehicle, they could be easily adapted to any vehicle with independent front and rear drivetrains. The existing quasi-static simulator of the test vehicle was expanded to account for the inertias and stiffnesses present in the powertrain and create a dynamic simulator. This was accomplished using the SimDriveline toolbox available in The Mathworks’ Simulink software. This model also incorporates longitudinal tire dynamics using the Pacejka Magic Formula and a longitudinal vehicle model. The resulting simulator is a suitable plant model for traction control development, though further refinement is required for complete functionality in all modes. Using the dynamic plant model, a slip detection algorithm capable of detecting slip on either axle or both simultaneously is developed. The algorithm uses six wheel speed comparisons to determine the vehicle current slip scenario without requiring knowledge of the current vehicle speed. Next the traction control algorithm was developed to act independently on each axle if slip is detected. The system creates axle torque limits on the outputs of the operating strategy that reduce torque until wheel slip stops and then gradually reapplies the torque until the full driver torque request has been restored with no wheel slip. Software-in-the-Loop results for a large variety of tests show significant improvement in vehicle performance on low friction surfaces. Large decreases in peak wheel speed, peak slip ratio, and maximum slip interval were observed in all cases. In-vehicle validation was performed for a limited number of tests but adequately demonstrated real-world functionality of the slip detection and torque control algorithms on the vehicle.
Giorgio Rizzonio (Advisor)
Shawn Midlam-Mohler (Committee Member)
132 p.
Mechanical Engineering
Hybrid Vehicles, Traction Control, Wheel Slip Detection

Recommended Citations

Citations

  • Hyde, A. N. (2014). Development of a Traction Control System for a Parallel-Series PHEV [Master's thesis, Ohio State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=osu1397722740

    APA Style (7th edition)

  • Hyde, Amanda. Development of a Traction Control System for a Parallel-Series PHEV. 2014. Ohio State University, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=osu1397722740.

    MLA Style (8th edition)

  • Hyde, Amanda. "Development of a Traction Control System for a Parallel-Series PHEV." Master's thesis, Ohio State University, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=osu1397722740

    Chicago Manual of Style (17th edition)

osu1397722740
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© 2014, all rights reserved.
This open access ETD is published by The Ohio State University and OhioLINK.