RESEARCH PAPER
Precrash vehicle velocity determination using inverse system and tensor product of Legendre polynomials - subcompact car class
1
Faculty of Automotive and Construction Machinery Engineering, Warsaw University of Technology, Polska
2
Harbin Institute of Technology, School of Transportation Science and Engineering, China
Submission date: 2022-09-14
Final revision date: 2022-09-27
Acceptance date: 2022-09-28
Publication date: 2022-10-05
Corresponding author
Adam Mrowicki
Faculty of Automotive and Construction Machinery Engineering, Warsaw University of Technology, Polska
Faculty of Automotive and Construction Machinery Engineering, Warsaw University of Technology, Polska
The Archives of Automotive Engineering – Archiwum Motoryzacji 2022;97(3):14-24
KEYWORDS
TOPICS
ABSTRACT
Presented paper discusses new approach to EES parameter determination in frontal car crash based on the tensor product of Legendre polynomials. In this paper Subcompact Car Class was analyzed using that method. Data that was used to perform analyses introduced in this paper was taken from National Highway Traffic Safety Administration (NHTSA) database. Such database consists of considerate number of test cases along with various information including vehicle mass, crash velocity, chassis deformation etc. New approach to the problem of determining the EES parameter was necessary due to the low accuracy of the currently used methods. Linear models used up till now for accident reconstruction show significant error as the relationship between mass, velocity and deformation cannot be well approximated with a flat plane. Proposed model produces better results, because of the nonlinear dependence of said parameters. This paper also includes a calculation example presenting a comparison of linear and nonlinear method on an actual crash test.
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