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A Dive into Vehicle Suspension

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Conference

2024 ASEE North Central Section Conference

Location

Kalamazoo, Michigan

Publication Date

March 22, 2024

Start Date

March 22, 2024

End Date

March 23, 2024

Page Count

18

DOI

10.18260/1-2--45590

Permanent URL

https://peer.asee.org/45590

Download Count

41

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Paper Authors

biography

Kevin Stinnette Lawrence Technological University

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Kevin Stinnette, an accomplished individual with a Bachelor's in Electrical Engineering, showcasing leadership as the captain and suspension engineer for LTU's 2022 Formula Electric race team. Currently pursuing a graduate degree in Electrical Engineering, Kevin's passion extends to automotive, physics, and engineering. Adding to his achievements, he proudly serves in the Michigan Air National Guard.

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biography

George Pappas Lawrence Technological University

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Dr. George Pappas is an Assistant Professor in the Department of Electrical and Computer Engineering (ECE) at Lawrence Technological University and currently working with several graduate and undergraduate students in research in a multitude of developing areas ranging from automotive to medical applications. Dr. Pappas is currently the Director of Master of Science (MS) in Artificial Intelligence (AI) program. He has over 15 years of teaching, research and work experience in embedded systems and high-performance computing. Artificial Intelligence (AI) in Autonomous vehicles, employ machine-learning techniques to collect, analyze and transfer data for safer driving experience. Also, he investigates encryption and optimization algorithms and security of the transfer of electronic medical data using wireless cellular communication systems for evaluation, diagnosis, and treatment of patients in remote locations. Some of the research interests are: Artificial Intelligence (AI) within radiology, specifically computerized tomography (CT) image reconstruction. Precise data analytics for pathology images. Virtual Reality (VR) in medical applications, Artificial Intelligence (AI) to aid diagnostics, Telemedicine, Medical and Health Informatics, Wireless implantable sensors and biomedical Transducers.

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Abstract

When it comes to vehicle dynamics there are four types of ride control, there is passive, self-leveling, semi-active, and active suspension. All forms have advantages and disadvantages that are focused on accomplishing specific problems centered around safety and ride performance. Passive suspension utilizes set characteristics that attempt to control a frequency range of vehicle oscillations. Self-leveling suspension is a subset of passive suspension, with the main difference being the springs’ ability to compensate for varying loads. Semi-active suspension introduces time variant characteristics such as dampers capable of changing its damping rate given road inputs. Active suspension expands upon semi-active suspension to include capabilities such as producing vertical forces to counter road inputs. The first portion of this graduate research paper will present four passive vehicle models, a quarter-car model with two degrees of freedom, two half-car models (roll angle and pitch angle) with four degrees of freedom, and a full-car model with seven degrees of freedom. The second portion will use these models to introduce the concept of differing damping coefficients for compression and rebound to better represent a passive vehicle suspension. The intent of this research is to introduce the reader to vehicle suspensions and how performance can be evaluated through Root Mean Squared (RMS) acceleration, load fluctuations of each wheel, and road versus wheel displacement. Lastly, the paper will present findings on improvement in accuracy: 12% for RMS acceleration, 10% for load fluctuations, and 7% for road versus wheel displacement.

Stinnette, K., & Pappas, G. (2024, March), A Dive into Vehicle Suspension Paper presented at 2024 ASEE North Central Section Conference, Kalamazoo, Michigan. 10.18260/1-2--45590

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