Comparative Estimation of Electric Vehicle Rolling Resistance Coefficient in Winter Conditions

2016 ◽  
Author(s):  
O. Trigui ◽  
Y. Dube ◽  
S. Kelouwani ◽  
K. Agbossou
Keyword(s):  
Electric Vehicle ◽  
Rolling Resistance ◽  
Resistance Coefficient ◽  
Winter Conditions ◽  
Rolling Resistance Coefficient

scholarly journals Limitations of vehicle movement resistances: rolling resistance

2018 ◽  
Vol 19 (12) ◽  
pp. 256-259
Author(s):  
Piotr Wrzecioniarz ◽  
Wojciech Ambroszko ◽  
Aleksandra Pindel
Keyword(s):  
Rolling Resistance ◽  
Resistance Coefficient ◽  
Rolling Resistance Coefficient ◽  
Vehicle Movement

In the paper limitations and exemplary methods of rolling resistance minimization are described. Changes of value of rolling resistance coefficient during years and values for exemplary rolling pairs are presented. Conclusions about future progress are formulated.

scholarly journals Rolling Resistance Estimation for PCR Tyre Design Using the Finite Element Method

2020 ◽  
Author(s):  
Sutisna Nanang Ali
Keyword(s):  
Finite Element Method ◽  
Finite Element ◽  
Rolling Resistance ◽  
Resistance Coefficient ◽  
Total Force ◽  
Exhaust Gas Emission ◽  
Deformation Force ◽  
Rolling Resistance Coefficient ◽  
Alternative Designs ◽  
Element Method

This study presents rolling resistance estimation in the design process of passenger car radial (PCR) tyre by using finite element method. The rolling resistance coefficient of tyres has been becoming one of main requirements within the regulation in many countries as it is related to the level of allowable exhaust gas emission generated by vehicle. Therefore, the tyre being designed must be digitally simulated using finite element method before the tyre is manufactured to provide a high confident level and avoid unnecessary cost related to failure physical product testing. The simulation firstly computes the deformation of several alternative designs of tyres under certain loading, and then the value of deformation force in each tyre component during deformation took place is calculated. The total force of deformation is considered as energy loss or hysteresis loss resulted in tyre rolling resistance. The experiment was carried out on three different tyre designs: two grooves, three grooves, and four grooves. The four groove tyre design gave the smallest rolling resistance coefficient (RRC). Finally, the simulation was continued to compare different crown radius of the tyres and the result shows that the largest crown radius generates the lowest rolling resistance.

scholarly journals Determination of rolling resistance coefficient based on normal tyre stiffness

2018 ◽  
Vol 327 ◽  
pp. 042093
Author(s):  
S P Rykov ◽  
V N Tarasuyk ◽  
V S Koval ◽  
N I Ovchinnikova ◽  
A I Fedotov ◽  
...  
Keyword(s):  
Rolling Resistance ◽  
Resistance Coefficient ◽  
Rolling Resistance Coefficient

scholarly journals Nonlinear Controllers for a Light-Weighted All-Electric Vehicle Using Chebyshev Neural Network

2014 ◽  
Vol 2014 ◽  
pp. 1-14 ◽  
Author(s):  
Vikas Sharma ◽  
Shubhi Purwar
Keyword(s):  
Neural Network ◽  
Electric Vehicle ◽  
Aerodynamic Drag ◽  
Rolling Resistance ◽  
Adaptive Controller ◽  
Dc Motor ◽  
Resistance Coefficient ◽  
Chebyshev Neural Network ◽  
Nonlinear Controllers ◽  
Aerodynamic Drag Coefficient

Two nonlinear controllers are proposed for a light-weighted all-electric vehicle: Chebyshev neural network based backstepping controller and Chebyshev neural network based optimal adaptive controller. The electric vehicle (EV) is driven by DC motor. Both the controllers use Chebyshev neural network (CNN) to estimate the unknown nonlinearities. The unknown nonlinearities arise as it is not possible to precisely model the dynamics of an EV. Mass of passengers, resistance in the armature winding of the DC motor, aerodynamic drag coefficient and rolling resistance coefficient are assumed to be varying with time. The learning algorithms are derived from Lyapunov stability analysis, so that system-tracking stability and error convergence can be assured in the closed-loop system. The control algorithms for the EV system are developed and a driving cycle test is performed to test the control performance. The effectiveness of the proposed controllers is shown through simulation results.

scholarly journals The determination of the rolling resistance coefficient of a passenger vehicle with the use of roller test bench method

2019 ◽  
Vol 254 ◽  
pp. 04007 ◽  
Author(s):  
Bartłomiej Pałasz ◽  
Konrad J. Waluś ◽  
Łukasz Warguła
Keyword(s):  
Energy Consumption ◽  
Experimental Research ◽  
Research Method ◽  
Test Bench ◽  
Rolling Resistance ◽  
Resistance Coefficient ◽  
Laboratory Method ◽  
Passenger Vehicle ◽  
Rolling Resistance Coefficient

Contemporary vehicle are designer to be eco-friendly. One of the factors limiting the energy consumption of driving processes is a low value of the rolling resistance coefficient. The rolling resistance depends on the construction features of a tire, exploitation conditions and the type of surface the car moves on. This article presents the results of experimental research of determining the rolling resistance coefficient with the use of laboratory method of roller test bench. The results presented here are a part of a wider research of determining the rolling resistance coefficient and the influence of research method on its value.

Electric Vehicle Traction and Rolling Resistance in Winter

1998 ◽  
Vol 26 (2) ◽  
pp. 64-83 ◽  
Author(s):  
S. Shoop
Keyword(s):  
Electric Vehicle ◽  
Rolling Resistance ◽  
Weather Conditions ◽  
Cold Weather ◽  
Tire Pressure ◽  
Air Drag ◽  
Cold Temperatures ◽  
Winter Conditions ◽  
Total Vehicle ◽  
Primary Contribution

Abstract Low rolling resistance tires help optimize the economy of electric vehicle (EV) operation. Five types of EV tires were evaluated under cold weather conditions and compared with traditional winter tires in terms of traction and rolling resistance. Other contributions to vehicle resistance (brake drag, wheel bearing resistance, driveline resistance, and air drag) were also measured and used to estimate changes in total vehicle resistance and associated changes in range with temperature. At low speeds, tire rolling resistance is the primary contribution to increased vehicle resistance at cold temperatures, with snow tires having both higher resistance and a stronger dependence on temperature than low rolling resistance tires. Lowering tire pressure increases both resistance and temperature dependence for most tires but also improves traction and therefore may serve as a temporary safety measure in winter conditions.

A New Computational Model about Vehicle’s Sliding Resistance Coefficients

2011 ◽  
Vol 228-229 ◽  
pp. 60-65
Author(s):  
Hong Liang Lin ◽  
Qiang Yu ◽  
Xue Li Zhang
Keyword(s):  
Drag Coefficient ◽  
Dynamic Performance ◽  
Great Influence ◽  
Rolling Resistance ◽  
Resistance Coefficient ◽  
Calculation Model ◽  
Air Drag ◽  
Sliding Resistance ◽  
Rolling Resistance Coefficient ◽  
Resistance Coefficients

Vehicle’s sliding resistance mainly includes rolling resistance, air drag resistance and friction within the transmission, wheel bearings and other related components. Among those, rolling resistance and air drag always exist whenever vehicle is running, so they have great influence on vehicle’s dynamic performance and fuel economy. Therefore, it is important to determine vehicle’s rolling resistance coefficient and air drag coefficient quickly and accurately in order to operate vehicle properly and reduce the vehicle’s fuel consumption. Combining theoretical analysis with experimental verification, calculation model based on road coasting test was given by means of least squares principle. And through which vehicle rolling resistance coefficient and air drag coefficient were determined easily. Then by using the test data from some Minibus, the vehicle's rolling resistance coefficient and air drag coefficient are calculated according to established model. The computation result shows that rolling resistance coefficient is a linear function of the speed and the air drag coefficient is constant. Finally, the analysis shows that the calculation model is simple, precise and useful.

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