Design and Optimization of Powertrain Using Hybrid Planetary Gearbox for Formula Student Vehicle

2015 ◽  
Author(s):  
Gagan Makhija ◽  
Manthan Mahajan ◽  
Nilesh Bansod ◽  
Soovadeep Bakshi
Keyword(s):  
Electric Vehicle ◽  
Rear Wheel ◽  
Planetary Gearbox ◽  
Design And Optimization ◽  
Gear Design ◽  
Race Car ◽  
Single Person ◽  
Wheel Drive ◽  
Extra Weight ◽  
Race Cars

Race cars are known for their brilliant acceleration as well as cornering performance. This requires optimization of each and every component of the car to shed every ounce of extra weight while maximizing the performance. This paper focuses on optimization of the powertrain of a Formula Student electric vehicle. The electric vehicle in question is a Formula style rear-wheel driven electric single person race car. The rear wheel drive is achieved with separate motors for each wheel controlled by electronic differential. Extensive research has been done in the area of gear design and several standards have been set. This paper follows the AGMA 2001-D04 standard as given in Shigley’s Mechanical Engineering Design [4]. A planetary gearbox was developed for a Formula Student vehicle with permanent magnet DC motor by Bakshi[2] et al. This paper tries to optimize the planetary gearbox and considers other suitable designs.

scholarly journals Multi-Objective Evolutionary Design of an Electric Vehicle Chassis

Sensors ◽  
2020 ◽  
Vol 20 (13) ◽  
pp. 3633
Author(s):  
Pablo Luque ◽  
Daniel A. Mántaras ◽  
Álvaro Maradona ◽  
Jorge Roces ◽  
Luciano Sánchez ◽  
...  
Keyword(s):  
Travel Time ◽  
Electric Vehicle ◽  
Dynamic Properties ◽  
Rear Wheel ◽  
Battery Pack ◽  
Race Car ◽  
Design Variables ◽  
Wheel Drive ◽  
Vehicle Chassis ◽  
Race Cars

An iterative algorithm is proposed for determining the optimal chassis design of an electric vehicle, given a path and a reference time. The proposed algorithm balances the capacity of the battery pack and the dynamic properties of the chassis, seeking to optimize the tradeoff between the mass of the vehicle, its energy consumption, and the travel time. The design variables of the chassis include geometrical and inertial values, as well as the characteristics of the powertrain. The optimization is constrained by the slopes, curves, grip, and posted speeds of the different sections of the track. Particular service constraints are also considered, such as limiting accelerations due to passenger comfort or cargo safety. This methodology is applicable to any vehicle whose route and travel time are known in advance, such as delivery vehicles, buses, and race cars, and has been validated using telemetry data from an internal combustion rear-wheel drive race car designed for hill climb competitions. The implementation of the proposed methodology allows to reduce the weight of the battery pack by up to 20%, compared to traditional design methods.

Collaborative control of a dual electro-hydraulic regenerative brake system for a rear-wheel-drive electric vehicle

2018 ◽  
Vol 233 (4) ◽  
pp. 1035-1046 ◽  
Author(s):  
Jonathan Nadeau ◽  
Philippe Micheau ◽  
Maxime Boisvert
Keyword(s):  
Electric Vehicle ◽  
Energy Recovery ◽  
Rear Wheel ◽  
Brake System ◽  
Force Distribution ◽  
Hydraulic Brake ◽  
Brake Pressure ◽  
Wheel Drive ◽  
Brake Force ◽  
Brake Force Distribution

Within the field of electric vehicles, the cooperative control of a dual electro-hydraulic regenerative brake system using the foot brake pedal as the sole input of driver brake requests is a challenging control problem, especially when the electro-hydraulic brake system features on/off solenoid valves which are widely used in the automotive industry. This type of hydraulic actuator is hard to use to perform a fine brake pressure regulation. Thus, this paper focuses on the implementation of a novel controller design for a dual electro-hydraulic regenerative brake system featuring on/off solenoid valves which track an “ideal” brake force distribution. As an improvement to a standard brake force distribution, it can provide the reach of the maximum braking adherence and can improve the energy recovery of a rear-wheel-drive electric vehicle. This improvement in energy recovery is possible with the complete substitution of the rear hydraulic brake force with a regenerative brake force until the reach of the electric powertrain constraints. It is done by performing a proper brake pressure fine regulation through the proposed variable structure control of the on/off solenoid valves provided by the hydraulic platform of the vehicle stability system. Through road tests, the tracking feasibility of the proposed brake force distribution with the mechatronic system developed is validated.

Modeling and Simulation of an Electric Vehicle with Independent Rear Motors to Estimate the Fuel Economy during EPA Drive Cycles

2021 ◽  
Vol 13 (1) ◽  
Author(s):  
W. Browna ◽  
Y. Liu
Keyword(s):  
Modeling And Simulation ◽  
Electric Vehicle ◽  
Fuel Economy ◽  
Environmental Protection Agency ◽  
Hybrid Electric Vehicle ◽  
Combustion Engine ◽  
Rear Wheel ◽  
Wheel Drive ◽  
Technical Specifications ◽  
Critical Components

The “Car of the Future” project converted a 2015 rear-wheel drive (RWD) Subaru BRZ into a hybrid electric vehicle (HEV) with an intermediate milestone of a battery electric vehicle (BEV). BEV architecture required removal of the conventional powertrain components, such as internal combustion engine, transmission and differential, introduced an electric axle and battery. This intermediate BEV step provided a point at which the vehicle could be evaluated in its all electric operation with the absence of what was once critical components including its original powertrain and powertrain electronics. This step also ensures the electric components are working properly before more complexity is added to the system in building HEV. In our previous work, BEV Vehicle Technical Specifications (VTS) or requirements were developed and an electric axle was appropriately sized and selected to meet these requirements. After selecting the electrical axle with independent rear motors that will meet BEV performance requirements, Environmental Protection Agency (EPA) fuel economy rating of the BEV should be assessed. This paper presents a drive cycle analysis of the BEV vehicle using the EPA Urban Dynamometer Driving Schedule (UDDS) and Highway Fuel Economy Test (HWFET) drive cycles by means of dynamic modeling and simulation. In this study, the power required at the wheels, the efficiency of each motor and the energy required at the selected electrical axle were determined. In addition, the city, highway and combined miles per gallon equivalent (MPGe) fuel economy were determined.

MPC-based cooperative braking control for rear-wheel-drive electric vehicle

2017 ◽  
Author(s):  
Jinglei Dou ◽  
Gaojian Cui ◽  
Shaosong Li ◽  
Xilu Zhao ◽  
Xiaohui Lu ◽  
...  
Keyword(s):  
Electric Vehicle ◽  
Rear Wheel ◽  
Wheel Drive ◽  
Braking Control ◽  
Rear Wheel Drive

A Study on the Design of Rear Wheel Drive Reducer for Electric Vehicle

2018 ◽  
Vol 35 (6) ◽  
pp. 571-577 ◽  
Author(s):  
Myeong Ho Kim ◽  
Zhen Qin ◽  
Ki Hun Lee ◽  
Qi Zhang ◽  
Sung Ki Lyu
Keyword(s):  
Electric Vehicle ◽  
Rear Wheel ◽  
Wheel Drive ◽  
Rear Wheel Drive
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