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Model Based Suspension Calibration for Hybrid Vehicle Ride and Handling Recovery

Organiscak, Matthew Joseph
http://rave.ohiolink.edu/etdc/view?acc_num=osu1406296312

Abstract Details

2014, Master of Science, Ohio State University, Mechanical Engineering.
Automotive manufacturers spend many years designing, developing, and manufacturing each new model to the best of their ability. The push to shorten the time of a design cycle is motivated by reducing development costs and creating a more competitive advantage. Model based design and computer simulations have an increasing presence in the automotive industry for this reason. In the automotive industry, current ride and handling tuning methods are subjective in nature. There are few, if any, objective evaluations of the vehicle ride and handling performance. EcoCAR 2 is a three year collegiate design competition, in which 15 teams compete to develop a vehicle with lower petroleum consumption and fewer emissions. The teams begin the task with a 2013 Chevrolet Malibu and are challenged with maintaining consumer acceptability. The stock vehicle has been modified greatly by removal of the stock powertrain and battery system. Nearly 900 lbs of batteries and supporting components have been added to the trunk of the car along with an electric motor and single speed transmission. This change in vehicle mass has led to issues with poor ride and handling performance. Model based calibration of the suspension dampers can be seen as a method to recover some of the lost performance. A CarSIM Model of the vehicle was developed after numerous measurements involving a vehicle inertial measurement facility as well as a kinematics and compliance test from a suspension parameter measurement device. The CarSIM model was validated using experimental testing data. The vehicle was subjected to several different tests including a steady state handling test, transient handling test, and a ride test. To understand how different damper curve parameters would affect the performance of the vehicle, a design of experiments was developed using CarSIM to obtain the outputs. The seven objective metrics based on passenger comfort were used to create seven response surface equations based on the results of the DOE. Once the response surface equations are validated and considered to be accurate enough to be useful, a minimization optimization was performed to determine what inputs will return the lowest output value from each response surface. The individual response surface equation minimization showed that it was able to decrease uncomfortable accelerations and pitch motions while maintaining a vehicle that is easy to drive through transient handling maneuvers.
Giorgio Rizzoni, Dr. (Advisor)
Shawn Midlam-Mohler, Dr. (Committee Member)
Jeffrey Chrstos, Dr. (Committee Member)
147 p.
Mechanical Engineering
Damper Tuning; Ride and Handling; Hybrid Vehicles; EcoCAR 2

Recommended Citations

Citations

  • Organiscak, M. J. (2014). Model Based Suspension Calibration for Hybrid Vehicle Ride and Handling Recovery [Master's thesis, Ohio State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=osu1406296312

    APA Style (7th edition)

  • Organiscak, Matthew. Model Based Suspension Calibration for Hybrid Vehicle Ride and Handling Recovery. 2014. Ohio State University, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=osu1406296312.

    MLA Style (8th edition)

  • Organiscak, Matthew. "Model Based Suspension Calibration for Hybrid Vehicle Ride and Handling Recovery." Master's thesis, Ohio State University, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=osu1406296312

    Chicago Manual of Style (17th edition)

osu1406296312
1,491
© 2014, some rights reserved.Creative Commons License Model Based Suspension Calibration for Hybrid Vehicle Ride and Handling Recovery by Matthew Joseph Organiscak is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License. Based on a work at etd.ohiolink.edu.
This open access ETD is published by The Ohio State University and OhioLINK.