Electric Vehicle (E-Vehicle) Crash Test Lab Safety Guidelines

2015 ◽  
Author(s):  
Keyword(s):  
Electric Vehicle ◽  
Crash Test ◽  
Vehicle Crash ◽  
Safety Guidelines

Navigation in vehicle crash test using MEMS-based IMU

2010 ◽  
Author(s):  
P. Bjorkholm ◽  
L. Landen ◽  
J. Stigwall ◽  
P. Johannisson ◽  
S. Sodermalm ◽  
...  
Keyword(s):  
Crash Test ◽  
Vehicle Crash

scholarly journals The harp: a vehicle crash test apparatus for full-scale crash test experiments

2012 ◽  
Vol 63 (9-12) ◽  
pp. 1073-1080 ◽  
Author(s):  
J. S. Johnsen ◽  
H. R. Karimi ◽  
K. G. Robbersmyr
Keyword(s):  
Full Scale ◽  
Crash Test ◽  
Test Apparatus ◽  
Vehicle Crash

A Study on Traffic Accident Reconstruction through Vehicle Crash Test

2013 ◽  
Vol 21 (6) ◽  
pp. 58-63
Author(s):  
Guanhee Kim ◽  
Jonghun Lim ◽  
Insong Park ◽  
Youngbum Chun ◽  
Chongdu Cho
Keyword(s):  
Traffic Accident ◽  
Crash Test ◽  
Accident Reconstruction ◽  
Vehicle Crash

scholarly journals Braking mechanism for the rcar protocol in vehicle crash-test trials

TECCIENCIA ◽  
2013 ◽  
Vol 7 (14) ◽  
pp. 23-30
Author(s):  
Daniel Eduardo Villalobos Correa ◽  
Carlos Alberto Garzón Ramirez ◽  
Jeisson Alexander Gómez Cajica ◽  
Juan Carlos Ovalle Gutierrez
Keyword(s):  
Crash Test ◽  
Vehicle Crash

Motor Vehicle Crash Testing Regulations for More Inclusive Populations

2021 ◽  
Vol 18 (04) ◽  
Author(s):  
Hannah Frye ◽  
Daphne Ko ◽  
Emilee Kotnik
Keyword(s):  
Motor Vehicle ◽  
Motor Vehicle Crash ◽  
Vehicle Safety ◽  
Crash Test ◽  
Department Of Transportation ◽  
Highway Traffic ◽  
National Highway Traffic Safety ◽  
Crash Testing ◽  
Vehicle Crash ◽  
Safety Outcomes

There is a stark disparity in motor vehicle crash deaths and injuries between male and female drivers. Female drivers are 13% more likely to be killed than their male counterparts in similar motor accidents. However, vehicle safety test practices do not account for diverse body proportions when assessing safety outcomes. Vehicle crash testing standards only require testing of two variations of adult-sized crash test dummies: a 50th percentile male and a 5th percentile female. Automotive companies are not required to test safety outcomes in crash test model’s representative of average female proportions or of non-average body sizes and physiological compositions. Current crash test standards are regulated by the National Highway Traffic Safety Administration (NHTSA) under the US Department of Transportation. This memo proposes three actions for the NHTSA and the Department of Transportation to address disparities in vehicle safety outcomes: 1) update safety standard requirements to include a 50th percentile female crash test dummy, 2) implement a federal tax incentive program for companies to include a greater diversity of vehicle occupant models, and 3) allocate funds for research and development of virtual crash testing models. These proposed initiatives seek to raise the minimum safety requirements and prioritize wider representation of vehicle occupants to improve parity in vehicle safety outcomes.

scholarly journals A Data-Based Approach for Modeling and Analysis of Vehicle Collision by LPV-ARMAX Models

2013 ◽  
Vol 2013 ◽  
pp. 1-9 ◽  
Author(s):  
Qiugang Lu ◽  
Hamid Reza Karimi ◽  
Kjell Gunnar Robbersmyr
Keyword(s):  
Crash Test ◽  
High Fidelity ◽  
Modeling And Analysis ◽  
Time Consumption ◽  
Analysis Process ◽  
Vehicle Crash ◽  
Vehicle Collision ◽  
Armax Model ◽  
Vehicle Crashworthiness ◽  
Real Test

Vehicle crash test is considered to be the most direct and common approach to assess the vehicle crashworthiness. However, it suffers from the drawbacks of high experiment cost and huge time consumption. Therefore, the establishment of a mathematical model of vehicle crash which can simplify the analysis process is significantly attractive. In this paper, we present the application of LPV-ARMAX model to simulate the car-to-pole collision with different initial impact velocities. The parameters of the LPV-ARMAX are assumed to have dependence on the initial impact velocities. Instead of establishing a set of LTI models for vehicle crashes with various impact velocities, the LPV-ARMAX model is comparatively simple and applicable to predict the responses of new collision situations different from the ones used for identification. Finally, the comparison between the predicted response and the real test data is conducted, which shows the high fidelity of the LPV-ARMAX model.

Idealized Vehicle Crash Test Pulses for Advanced Batteries

2013 ◽  
Vol 1 (2) ◽  
pp. 328-333 ◽  
Author(s):  
Saeed Barbat ◽  
Mark Mehall ◽  
Raviraj Nayak ◽  
Guy S. Nusholtz ◽  
Natalie M. Olds ◽  
...  
Keyword(s):  
Crash Test ◽  
Vehicle Crash

scholarly journals Mathematical modeling and optimization of a vehicle crash test based on a single-mass

2014 ◽  
Author(s):  
Andreas Klausen ◽  
Sondre Sanden Tordal ◽  
Hamid Reza Karimi ◽  
Kjell G. Robbersmyr ◽  
Mladen Jecmenica ◽  
...  
Keyword(s):  
Mathematical Modeling ◽  
Crash Test ◽  
Modeling And Optimization ◽  
Vehicle Crash ◽  
Single Mass
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