Design of an Electric Drive Transmission for a Formula Student Race Car

White, Gavin; Cunningham, Geoffrey; Doyle, Darryl

doi:10.4271/2019-01-1295

Cited by 5 publications

(3 citation statements)

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“…An intermediate gearbox, a drive shaft, a differential, and two half shafts are utilized to link the motor and drive wheels [131]. With the growing prevalence of distributed power sources, diverse advanced approaches have emerged, featuring motors directly linked to the hubs of individual tires in various configurations [132]. The battery pack is arranged to optimize the car's weight distribution.…”

Section: B Full-scale Racing Platformsmentioning

confidence: 99%

A Survey of Vehicle Dynamics Modeling Methods for Autonomous Racing: Theoretical Models, Physical/Virtual Platforms, and Perspectives

Zhang,

Sun,

Wang

et al. 2024

IEEE Trans. Intell. Veh.

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This paper presents the first survey of vehicle dynamics modeling methods for autonomous racing. Previous surveys have covered dynamics models for standard autonomous vehicles or, alternatively, concentrated on planning and control methods in autonomous racing with vehicle dynamics models briefly mentioned. However, previous surveys overlook the importance of vehicle dynamics under challenging conditions of top speeds and non-steady state driving, which are unique characteristics in autonomous racing. Recognizing the vital role of vehicle dynamics modeling in an autonomous racecar's prediction, planning, and control modules, this survey seeks to ascertain to what degree the nominal full-scale racecar dynamics can be streamlined without sacrificing accuracy for simplicity. Furthermore, this survey provides essential guidance for organizers of virtual autonomous races, helping them choose vehicle dynamics models that meet the required level of precision. This paper begins with a review of previous surveys on vehicle dynamics modeling, highlighting their limitations in the context of autonomous racing. Following this, it investigates the existing dynamics models for autonomous racing vehicles, along with a comprehensive examination of the existing physical/virtual testing platforms. The paper concludes by discussing emerging trends and offering perspectives in the field of vehicle dynamics modeling for autonomous racing, paving the way for groundbreaking research and innovations in autonomous racing.

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Section: B Full-scale Racing Platformsmentioning

confidence: 99%

A Survey of Vehicle Dynamics Modeling Methods for Autonomous Racing: Theoretical Models, Physical/Virtual Platforms, and Perspectives

Zhang,

Sun,

Wang

et al. 2024

IEEE Trans. Intell. Veh.

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show abstract

“…To optimize the powertrain gear ratio and battery capacity, it was assumed that the proposed four in-hub motor concept would be used, with the same tires and chassis (with no aero package) to previous QUB ICE vehicles [11]. Thus the same geometry and coefficients could be used.…”

Section: Powertrain Specificationmentioning

confidence: 99%

Lap Time Simulation Tool for the Development of an Electric Formula Student Car

Doyle¹,

Cunningham²,

White³

et al. 2019

SAE Technical Paper Series

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This work details the development of a lap time simulation (LTS) tool for use by Queen's University Belfast in the Formula Student UK competition. The tool provides an adaptable, user-friendly virtual test environment for the development of the team's first electric vehicle. A vehicle model was created within Simulink, and a series of events simulated to generate the performance envelope of the car in the form of maximum combined lateral/longitudinal accelerations against velocity (ggv diagram). A four-wheeled vehicle including load transfer was modelled, capturing shifts in traction between each tire, which can influence performance in vehicles where the total tractive power is split between individual wheel motors. The acceleration limits in the ggv diagram were used to simulate the acceleration and endurance events at Formula Student. These events were simulated using a MATLAB code considering a point mass, quasi-steady state model with a perfect driver. This method considering all four wheels captures performance characteristics that point mass models normally cannot, without the complexity and time required for more detailed LTS solutions including yaw movements and driver models. It also separates the vehicle model from the MATLAB code required to run the LTS, reducing the complexity of implementing future changes. The LTS was benchmarked against the freeware tool OptimumLap and validated where possible against competition results. A Latin Hypercube sampling technique was employed to generate numerous input scenarios for the simulation, and a response surface fitted to the results to perform a sensitivity analysis. Results from this analysis indicate several areas to efficiently focus future resource allocation as well as attempting to quantify trade-offs. Optimum powertrain gear ratio and battery capacity for a proposed vehicle were specified using the tool.

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“…Each team taking part in the competitions has to build its own vehicle in accordance with the competition regulations [8,14,15]. The number of teams starting to build vehicles powered by electric engines increases every year [4,22]. This is due to the prevailing trend of promoting electromobility.…”

Section: Introductionmentioning

confidence: 99%

Formula Student class electric vehicle energy storage - study and design assumptions

Hemlecki,

Fabiś

2024

Combustion Engines

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The goal of this article is to present the design assumptions of an energy storage for a Formula Student electric car equipped with one electric motor. The correct selection of the parameters of the energy storage is dictated by the regulations applicable to all cars competing in this class, especially the maximum battery power. The growing interest in electric cars is visible also in motorsport, where are created new competitions and classes specifically for BEV (Battery Electric Vehicle). The study presents a description of the requirements contained in the competition regulations regarding the energy storage in the Formula Student vehicle, an overview of the cells that can be used in the battery and the selection of the most optimal among several solutions. Based on specific requirements, the arrangement of cells inside the battery was designed, divided into smaller segments and their connection, placed in a safe housing in the form of container.

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Design of an Electric Drive Transmission for a Formula Student Race Car

Cited by 5 publications

References 1 publication

A Survey of Vehicle Dynamics Modeling Methods for Autonomous Racing: Theoretical Models, Physical/Virtual Platforms, and Perspectives

A Survey of Vehicle Dynamics Modeling Methods for Autonomous Racing: Theoretical Models, Physical/Virtual Platforms, and Perspectives

Lap Time Simulation Tool for the Development of an Electric Formula Student Car

Formula Student class electric vehicle energy storage - study and design assumptions

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