A Data-Driven Analysis to Determine the Electrical Needs of a Hybrid Powertrain System for Small, Hyper-Optimized, Track-Day Vehicles
Name
asa-henryasa-sb-meche-2024.pdf
Description
Thesis PDF
Size
23.01 MB
Format
Adobe PDF
Checksum (MD5)
10a0f8c9c14ce54dac0e78a21b5a2d8c
Author(s)
Asa, Henry J.
Advisor(s)
Winter, Amos G.
Date Issued
May 2024
Publisher
Massachusetts Institute of Technology
Abstract
In an effort to maximize the performance of RUSH Auto Work’s RUSH SR racecar, a hybrid powertrain system was designed and evaluated to estimate the performance gains from imple- menting such a system. An extensive Python program was developed to analyze real-world race data for the RUSH SR, determining energy losses while braking, the vehicle’s current acceleration capabilities, as well as the vehicle’s limitations. This ultimately quantified the vehicle’s current performance values/capabilities, and provided a strong foundation for the analyses that determined the anticipated implications of adding a hybrid powertrain system to the car. Despite the mass additions associated with adding an electric motor, battery pack, and additional components to control the system, the power gains from the system yielded a net greater power-to-weight ratio than the original vehicle without the hybrid sys- tem. An analysis of energy recuperation through regenerative braking demonstrated the potential to reduce the size of the battery pack (which decreases the mass of the system) without compromising on the power requirements and capabilities of the system. During periods of heavy braking, it was found that a significant portion of the battery could be recharged, allowing for significant reductions in the capacity of the battery pack.
MIT Department
Massachusetts Institute of Technology. Department of Mechanical Engineering
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