scholarly journals Johnson Matthey and Envision Virgin Racing reveal the world's first electric two-seater Formula race car at COP26

2022 ◽  
Vol 2022 (1) ◽  
pp. 4-5
Keyword(s):  
Race Car

Comparison of different SLAM approaches for a driverless race car

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Nick Le Large ◽  
Frank Bieder ◽  
Martin Lauer
Keyword(s):  
Kalman Filter ◽  
Extended Kalman Filter ◽  
Ground Truth ◽  
Time Constraints ◽  
Differential Gps ◽  
Real World Data ◽  
Race Car ◽  
Localization And Mapping ◽  
Slam Algorithm ◽  
Computational Resources

Abstract For the application of an automated, driverless race car, we aim to assure high map and localization quality for successful driving on previously unknown, narrow race tracks. To achieve this goal, it is essential to choose an algorithm that fulfills the requirements in terms of accuracy, computational resources and run time. We propose both a filter-based and a smoothing-based Simultaneous Localization and Mapping (SLAM) algorithm and evaluate them using real-world data collected by a Formula Student Driverless race car. The accuracy is measured by comparing the SLAM-generated map to a ground truth map which was acquired using high-precision Differential GPS (DGPS) measurements. The results of the evaluation show that both algorithms meet required time constraints thanks to a parallelized architecture, with GraphSLAM draining the computational resources much faster than Extended Kalman Filter (EKF) SLAM. However, the analysis of the maps generated by the algorithms shows that GraphSLAM outperforms EKF SLAM in terms of accuracy.

EEG Solar Race Car

2020 ◽  
Author(s):  
Ammar Natsheh ◽  
John Brown ◽  
Walid Zgallai ◽  
Alia Alaa ◽  
Asma Abdullatif ◽  
...  
Keyword(s):  
Race Car

Tube model predictive control for an autonomous race car

2021 ◽  
pp. 1-23
Author(s):  
A. Wischnewski ◽  
M. Euler ◽  
S. Gümüs ◽  
B. Lohmann
Keyword(s):  
Model Predictive Control ◽  
Predictive Control ◽  
Tube Model ◽  
Race Car

scholarly journals Empirical Analysis of High Voltage Battery Pack Cells for Electric Racing Vehicles

Energies ◽  
2021 ◽  
Vol 14 (6) ◽  
pp. 1556
Author(s):  
Khaled Sehil ◽  
Basem Alamri ◽  
Mohammed Alqarni ◽  
Abdulhafid Sallama ◽  
Mohamed Darwish
Keyword(s):  
Electrical Energy ◽  
Comparative Investigation ◽  
Motor Vehicles ◽  
Race Car ◽  
Battery Packs ◽  
High Voltage Battery ◽  
Li Ion ◽  
Rapid Deployment ◽  
Conclusion Section ◽  
Battery Cells

This paper examines the specifications of lithium battery cells, which are considered one of the most vital sources for electrical energy storage units. The specifications have been covered to associate battery performance with its usage for electrically powered motor vehicles. With the motivation of rapid deployment of electric vehicles (EVs) around the world, the key contribution of this study is to provide a comparative investigation of well-known commercially available Li-ion battery cells used as a pack for electric race car. Five lithium cells from different manufacturers were analyzed for start voltage, end voltage, current, and the use of active cooling under different test conditions. Thermal imaging was used to provide more comprehensive analysis of tested battery packs. The outcomes of this experimental investigation are described in the sections below in the order in which the analyses were conducted. The key findings of this study are presented in the conclusion section.

scholarly journals Comparison of Typical Controllers for Direct Yaw Moment Control Applied on an Electric Race Car

Vehicles ◽  
2021 ◽  
Vol 3 (1) ◽  
pp. 127-144
Author(s):  
Andoni Medina ◽  
Guillermo Bistue ◽  
Angel Rubio
Keyword(s):  
Handling Performance ◽  
Electric Cars ◽  
Control Techniques ◽  
Race Car ◽  
Yaw Rate ◽  
Direct Yaw Moment Control ◽  
Yaw Moment Control ◽  
Moment Control ◽  
Race Track ◽  
Yaw Moment

Direct Yaw Moment Control (DYC) is an effective way to alter the behaviour of electric cars with independent drives. Controlling the torque applied to each wheel can improve the handling performance of a vehicle making it safer and faster on a race track. The state-of-the-art literature covers the comparison of various controllers (PID, LPV, LQR, SMC, etc.) using ISO manoeuvres. However, a more advanced comparison of the important characteristics of the controllers’ performance is lacking, such as the robustness of the controllers under changes in the vehicle model, steering behaviour, use of the friction circle, and, ultimately, lap time on a track. In this study, we have compared the controllers according to some of the aforementioned parameters on a modelled race car. Interestingly, best lap times are not provided by perfect neutral or close-to-neutral behaviour of the vehicle, but rather by allowing certain deviations from the target yaw rate. In addition, a modified Proportional Integral Derivative (PID) controller showed that its performance is comparable to other more complex control techniques such as Model Predictive Control (MPC).

scholarly journals Aerodynamic Performance of the Underbody and Wings of an Open-Wheel Race Car

2016 ◽  
Vol 40 (2) ◽  
pp. 19-34 ◽  
Author(s):  
Andrija Buljac ◽  
Hrvoje Kozmar ◽  
Ivo Džijan
Keyword(s):  
Aerodynamic Performance ◽  
Race Car

The Development Stages of Rear Upright for Formula Car

2004 ◽  
Author(s):  
Ismail Fidan ◽  
Adam McGough ◽  
Jeff Foote
Keyword(s):  
Rapid Prototyping ◽  
Virtual Manufacturing ◽  
Small Scale ◽  
First Year ◽  
Design Tools ◽  
Golden Eagle ◽  
Development Stages ◽  
Formula Sae ◽  
Race Car ◽  
Design Competition

Formula SAE (FSAE) is a design competition organized each year by the Society of Automotive Engineers (SAE). The objective of the competition is to bring the best and brightest future engineers from each participating school to present a small scale race car. Although this sounds like a relatively simple concept, the actual execution is rather challenging and rewarding for the team. For almost three years Tennessee Tech University (TTU) has had a FSAE team. The first year was a planning year, so Tennessee Tech University has participated in the competition for the last two years. Both years have been extreme learning experiences since TTU was not prepared for the level of competition brought by participating schools. However TTU FSAE team is beginning to implement modern design tools such as FEA, Virtual Manufacturing, and Rapid Prototyping to help streamline the design efforts so that one day Golden Eagle FSAE will be one of the top competing teams. In this publication, authors will report on one Golden Eagle FSAE component (the rear upright) development stages and its accomplishments.

Computational Aerodynamics of a Winston-Cup-Series Race Car

2002 ◽  
Author(s):  
Oktay Baysal ◽  
Terry L. Meek
Keyword(s):  
Present Model ◽  
Pressure Coefficient ◽  
The Body ◽  
Race Car ◽  
Drag Forces ◽  
Surface Pressure Distribution ◽  
Computational Aerodynamics ◽  
Baseline Case ◽  
Quantitative Results ◽  
Lift And Drag

Since the goal of racing is to win and since drag is a force that the vehicle must overcome, a thorough understanding of the drag generating airflow around and through a race car is greatly desired. The external airflow contributes to most of the drag that a car experiences and most of the downforce the vehicle produces. Therefore, an estimate of the vehicle’s performance may be evaluated using a computational fluid dynamics model. First, a computer model of the race car was created from the measurements of the car obtained by using a laser triangulation system. After a computer-aided drafting model of the actual car was developed, the model was simplified by removing the tires, roof strakes, and modification of the spoiler. A mesh refinement study was performed by exploring five cases with different mesh densities. By monitoring the convergence of the computed drag coefficient, the case with 2 million elements was selected as being the baseline case. Results included flow visualization of the pressure and velocity fields and the wake in the form of streamlines and vector plots. Quantitative results included lift and drag, and the body surface pressure distribution to determine the centerline pressure coefficient. When compared with the experimental results, the computed drag forces were comparable but expectedly lower than the experimental data mainly attributable to the differences between the present model and the actual car.

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